Next Article in Journal
Urban Gardens as Sustainable Attractions for Children in Family Tourism
Next Article in Special Issue
The Impact of Metal Mining on Global Water Stress and Regional Carrying Capacities—A GIS-Based Water Impact Assessment
Previous Article in Journal
Urban Vertical Farming as an Example of Nature-Based Solutions Supporting a Healthy Society Living in the Urban Environment
Previous Article in Special Issue
Life Cycle Sustainability Assessment of a Novel Bio-Based Multilayer Panel for Construction Applications
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

How to Identify Potentials and Barriers of Raw Materials Recovery from Tailings? Part II: A Practical UNFC-Compliant Approach to Assess Project Sustainability with On-Site Exploration Data

by
Rudolf Suppes
1,2,* and
Soraya Heuss-Aßbichler
3
1
Institute of Mineral Resources Engineering (MRE), RWTH Aachen University, Wüllnerstr. 2, 52064 Aachen, Germany
2
CBM GmbH—Gesellschaft für Consulting, Business und Management mbH, Horngasse 3, 52064 Aachen, Germany
3
Department of Earth and Environmental Sciences, Ludwig-Maximilians-Universität München, Theresienstr. 41, 80333 Munich, Germany
*
Author to whom correspondence should be addressed.
Resources 2021, 10(11), 110; https://doi.org/10.3390/resources10110110
Submission received: 31 July 2021 / Revised: 9 October 2021 / Accepted: 15 October 2021 / Published: 29 October 2021

Abstract

:
A sustainable raw materials (RMs) recovery from waste requires a comprehensive generation and communication of knowledge on project potentials and barriers. However, a standardised procedure to capture sustainability aspects in early project development phases is currently missing. Thus, studies on different RM sources are not directly comparable. In this article, an approach is presented which guides its user through a practical interpretation of on-site exploration data on tailings compliant with the United Nations Framework Classification for Resources (UNFC). The development status of the overall project and the recovery of individual RMs are differentiated. To make the assessment results quickly comparable across different studies, they are summarised in a heat-map-like categorisation matrix. In Part I of this study, it is demonstrated with the case study tailings storage facility Bollrich (Germany) how a tailings mining project can be assessed by means of remote screening. In Part II, it is shown how to develop a project from first on-site exploration to a decision whether to intensify costly on-site exploration. It is concluded that with a UNFC-compliant assessment and classification approach, local sustainability aspects can be identified, and a commonly acceptable solution for different stakeholder perspectives can be derived.

1. Introduction

A growing world population, the growth of emerging economies, and the global transition to a decarbonised energy supply lead to an increasing demand for mineral raw materials (RMs) [1,2,3,4]. For more than a century, the annual average increase in global mineral RM demand is reported to be 3% [1], and a 2- to 3-fold increased global demand for Al, Cu, Fe, Mn, Ni, Pb and Zn is expected between 2010 and 2050 [5,6]. Due to net stock additions and low recycling rates, the primary mining industry is expected to remain an important supplier of RMs in the foreseeable future [6,7].
In mining, valuable RMs are extracted from ores by separating wanted from unwanted minerals. A common method to do so is froth flotation, which requires the ores to be finely ground to a particle size of typically 10–200 µm [8]. The unwanted minerals are rejected as tailings, and they are usually stored in tailings storage facilities (TSFs). The global annual tailings production is estimated to lie in the range of 5–14 Gt [9], and it is estimated that in China alone some 12,000 TSFs exist [10]. Globally, ore grades are decreasing and ore complexities are increasing [11] so that the amount of produced tailings and energy spent per unit of produced commodity are increasing.
Despite continuous improvements in the construction and management of TSFs, they can be regarded as legacies with long-lasting environmental impacts, such as the occupation of large surface areas, and high external costs [12,13,14,15,16]. Risks associated with TSFs comprise the contamination of soil and water with acidic leachates or heavy metals, especially in the case of sulphidic tailings [13,17,18,19]. Other risks include dam stability issues which, on average, cause 2 to 3 annual TSF failures, leading to a contamination of large areas and threatening human lives [20,21]. The environmental impact of TSFs has increased public pressure on the primary mining industry to act more environmentally friendly [6,22,23].
At the same time, tailings contain usable RMs due to former processing inefficiencies or an emerging demand for RMs which were not exploitable in the past [24]. The active promotion of sustainability in RM sourcing in the past decade by institutions such as the European Commission (EC) has initiated a paradigm shift so that formerly regarded waste is now becoming interesting for valorisation [25,26,27]. Scientists have investigated the recovery of metalliferous or industrial minerals from tailings [28,29,30], or an alternative valorisation, e.g., in construction materials [31,32,33] or glass making [34,35,36].
A comprehensive exploration is required to identify if tailings can be valorised. However, conventional case studies under consideration of the Committee for Mineral Reserves International Reporting Standards (CRIRSCO) classification principles from the primary mining industry usually target single RMs and neglect other contained RMs (cf., References [37,38,39]). Hence, the knowledge on their RM potential is incomplete. Usually, economic aspects are mainly considered in the primary mining industry [8,40], while environmental and social aspects of RMs recovery are mostly neglected or ignored; only recently have sustainability aspects been given greater attention [41].
The United Nations Sustainable Development Goals aim at a worldwide sustainable extraction of natural RMs [42]. Therefore, the prospects of mineral RMs recovery requires environmental and social aspects to be regarded as equal to economic ones. As a result, these aspects must be assessed concurrently with geological, technological, and legal aspects to obtain comprehensive exploration results [43]. This is possible when applying the United Nations Framework Classification for Resources (UNFC) principles, which are based on the 3 categories: degree of confidence in the estimates (G category), technical feasibility (F category), and environmental-socio-economic viability (E category) [44]. In this way, decision-makers in RM management can get an overview of the potentials and barriers of mineral RMs recovery from tailings and its competitiveness across different RM sources.
In mineral RM exploration in the primary mining industry, a mineral deposit is first identified with remote techniques [8,45]. It is then investigated on site with intensified techniques to obtain data for a first techno-economic assessment, termed a scoping study [8,45]. Despite the many recent case studies on anthropogenic RMs developed in analogy to natural RMs [46], a standardised procedure is missing. Existing case studies provide a snapshot of a specific stage of project development in the RMs recovery chain [47], e.g., the remote exploration [48]. Hence, there is a research gap in the development of case studies which outline the progression of RMs recovery project development [47].
This study addresses the lack of a standardised procedure to explore tailings as anthropogenic RMs. It is the first to demonstrate how a UNFC-compliant tailings mining project assessment and classification can evolve from a first remote TSF screening (Part I [43]) to a consecutive interpretation of on-site exploration data (Part II). In this article, a systematic and practical UNFC-compliant approach is developed for a very preliminary assessment and classification of tailings mining projects based on on-site exploration data. It is tested to what extent an overview of project potentials and barriers can be obtained. The research questions are: (1) is it possible to reconcile different stakeholder interests with a UNFC-compliant approach or must different perspectives be considered on their own merits? (2) which aspects should be considered in very preliminary UNFC-compliant assessments? (3) can a UNFC-compliant approach be used to identify site-specific project potentials and barriers?
The approach focuses on metalliferous tailings from industrial processes. A project’s development status is differentiated in terms of geological, technological, economic, environmental, social, and legal aspects. Beside the rating of the overall project, each contained RM is rated individually as a separate subproject. The rating is performed in a categorisation matrix in a heat map-like style. In this way, driving factors as well as barriers can be identified quickly. The approach is tested with the case study TSF Bollrich (Germany) from a public decision-maker’s perspective, considering the interests of local environmental non-governmental organisations (NGOs), private investors, and the city administration of Goslar. The TSF was chosen since it is a potential source of economically highly relevant RMs, it is situated in a complex environment with several stakeholders, and there is a potential to relieve the burden on the environment and society [43].
The article is structured as follows: (i) outline of the frame conditions for the further development of the case study Bollrich, (ii) proposal of a UNFC-compliant anthropogenic RMs assessment and classification approach, (iii) development of a categorisation matrix for a UNFC-compliant rating of the overall project and subprojects for individual RMs, (iv) case study application, and (v) discussion of the developed approach.

2. Terms and Methods

2.1. Key Words and Definitions

TSF: physical structure for tailings storage. Deposit: potential RM source. Target minerals: minerals wanted for valorisation. Other minerals: unwanted minerals. Recovery: physical extraction process. Material recovery: extraction of minerals to be used in construction materials. Tailings mining: process from exploration, recovery, and processing to rehabilitation. A very preliminary study is regarded as an analogue to a scoping study from the primary mining industry [45] (p. 31), and it is defined as follows: it is the first quantification of a tailings mining project’s potentials and barriers with respect to geological, technological, economic, environmental, social, and legal aspects. The degree of uncertainty in the estimates is high. The study is based on directly generated project data, for instance from on-site exploration or information from other sources such as from the literature and model assumptions based on similar projects. Technological considerations are based on conceptual foundations.

2.2. Considerations for the Development of the Case Study TSF Bollrich

This case study is based on the screening results from Reference [43], where the following potentials are identified: an economic interest in the TSF is justified due to its size and the presumably contained critical raw materials (CRMs) BaSO4 and In, as well as the highly economically relevant RMs Ag, Au, Cu, Pb, and Zn. The development costs are expected to be low since buildings, transportation, and utilities infrastructure are present in the near vicinity. As Germany has a high rating on the ease of doing business ranking, favourable regulatory conditions for an investment can be assumed. The TSF’s environment is vulnerable to a potential TSF failure: the nearest human settlement is located ~400 m downstream of the TSF, and the high score on the Human Footprint Index indicates that land-use-related social tension with competing interests can be expected in the area. Therefore, a removal of the TSF would reduce the potentially severe risks of a TSF failure.
The following barriers are identified [43]: the TSF is located in a challenging environment with a potential for social conflicts due to agricultural, forest, industrial and commercial, nature and water protection, recreation, and residential areas in the near vicinity. A diverse and socially active stakeholder group of a minimum of 18 parties could be identified, which may potentially form a strong base for a project rejection. Amongst others, these include environmental NGOs, the Development Association Cultural Heritage Ore Mine Rammelsberg, and the Air Sports Community Goslar. The geological knowledge on the deposit is limited due to unknown RM quantities and qualities. Furthermore, potentially contained RMs are presumed based on literature on mined ores and their processing. Knowledge on the TSF’s geomechanical stability is missing. Valuable ecosystems with protected species have formed as a result of ecological succession. To overcome these barriers, on-site exploration and evaluating techno-economic feasibility is required; local stakeholders’ environmental, social, and economic interests must be considered; and advantages and disadvantages of RMs recovery need to be weighed against each other.

2.3. UNFC-Compliant Anthropogenic Raw Materials Assessment and Classification Approach

The assessment and classification approach from Heuss-Aßbichler et al. [47] (p. 17) was adopted and modified by adding sub-steps and assigning assessment methods. The modified approach consists of 3 phases (cf., Figure 1), which can be reiterated when additional information is required or when new information on preceding steps is generated:
  • Definition of project and generation of information.
  • Assessment of project’s development status.
  • UNFC-compliant categorisation of criteria and project classification.

2.4. Case Study Assessment Methods

2.4.1. Environmental Assessment

TSF-related risks can have a great influence on the classification result of a tailings mining project [49]. Based on data from scientific literature, publicly accessible sources, and observations on Google Earth [50], a status quo risk assessment is performed. The TSF’s stability and its impacts on the surrounding environment is assessed, including the following subjects of protection (adopted from Reference [51]): air, flora and fauna, ground, groundwater, human health, landscape, and surface water.

2.4.2. Social Assessment

Investors are recognising that ignoring social aspects in project development can create barriers to RMs recovery [6]. Amongst others, it is therefore important to consider the attitudes of local stakeholders such as communities towards a possible RMs recovery. From the stakeholders identified in Reference [43], this study focused on administrative bodies, industry, and local environmental NGOs as proxies for concerned citizens. Due to a lack of data, only basic tendencies on stakeholder attitudes are assessed. The assessment is based on an internet search and the study of Bleicher et al. [52] who interviewed stakeholders on a potential RMs recovery from mine waste in the Harz region including the TSF Bollrich. They focused on stakeholders from non-specified local and regional environmental NGOs, industry, administrative bodies, and scientific institutions, and they considered secondary sources such as public media.

2.4.3. Material Characterisation and Material Flow Analysis

The drill core sampling campaigns on the TSF Bollrich for tailings characterisation are described in References [53,54]. 3 scenarios are developed: no RMs recovery (NRR0), conventional RMs recovery (CRR1), and enhanced RMs recovery (ERR2). The amount and composition of generated commodities and residues are evaluated with a material flow analysis (MFA) according to Reference [55] under consideration of available recovery technologies:
  • Scenario definition and selection of relevant processes and mass flows.
  • Mass flow quantification with published and estimated data, and model assumptions for unavailable data.
  • Mass flow visualisation with Sankey diagrams.

2.4.4. Economic Assessment

The economic viability is assessed with a discounted cash flow (DCF) analysis to determine the net present value (NPV) before taxes, considering internal costs and revenues. The NPV is estimated with the open-source software R (www.r-project.org, accessed on 16 January 2021) after
N P V   =   I 0   + i = 1 t ( I i / ( 1 + r ) r ) ,
where I0 is the initial investment [€] in year 0, Ii is the net cash flow [€] in the i-th year, r is the discount rate [-], and t is the project’s duration [a]. Given estimated figures for target mineral masses, prices and recovery rates are rounded down; they are rounded up for costs to estimate conservatively as per CRIRSCO [45].

2.4.5. Sensitivity and Uncertainty Analysis

To increase the reliability of the assessment, sensitivity and uncertainty analyses is performed [56]. The sensitivity analysis is performed by varying input factors to determine how the outputs depend on them. The uncertainties are assessed with dynamic price forecasts by applying autoregressive functions to historical price data of metals, minerals, diesel, and electric energy (cf., Supplementary Materials, Figures S1–S9).

2.4.6. Legal Assessment

The legal aspects right of mining, environmental protection, and water protection are considered. Due to a lack of data, the state of development of legal aspects are assessed by making basic considerations based on data from Reference [53].

2.5. Development of a Categorisation Matrix for a UNFC-Compliant Project Rating

In the categorisation matrix, the overall project and subprojects for individual RMs are differentiated. The UNFC’s G, F, and E categories are addressed. The E category is subdivided into economic (a), environmental (b), social (c), and legal (d) aspects, the latter being defined as a distinct subcategory in this article. For the project categorisation and classification, an exemplary 35 factors for the rating of the overall project and 9 factors for the rating of the subprojects for individual RMs are assessed. They are adapted and modified after a literature search on established assessment factors from the primary mining industry, literature on sustainability in mining, case studies, and our own reasoning. Table 1 provides an overview of the chosen factors, their allocation to groups, and the rationale for choosing them based on their influence on a project. A proposal is made for a UNFC-compliant rating with descriptive indicators to describe a state and performance indicators to quantitatively compare the status quo with target values. For better legibility, the categorisation matrix is divided into separate tables (cf., Appendix A, Table A1, Table A2, Table A3, Table A4, Table A5, Table A6, Table A7, Table A8, Table A9 and Table A10). With the above nomenclature, an exemplary rating in the social subcategory might look like E3.1c or E1c. Factors with high uncertainty remain in the 3rd UNFC subcategorisation (3.1, 3.2, 3.3), while more developed factors can be rated as high as in the 1st UNFC category (1, 2, 3). For a quick overview of project potentials and barriers, an individual colour is assigned to each rating. In the discussion in Section 4.1, the rating results are presented in a heat-map-like style for a quick overview.

3. Results

3.1. Definition of the Project and Generation of Information

3.1.1. Knowledge Base on the Case Study Deposit

The tailings deposit Bollrich (cf., Figure 2) near Goslar was part of the Rammelsberg mining operation [57]. It contains BaSO4, Co, Ga, and In, which are CRMs in the European Union (EU), and the elements Cu, Pb, and Zn, which are economically highly important in the EU [58]. The deposit is nationally relevant as it is one of the few possible CRM sources [59]. The first exploration with a focus on geological aspects took place in 1983 before its abandonment in 1988 after ca. 50 years of operation [54]. In the 2010s, the exploration’s main focus was on mineral processing. Geological, technological, environmental, legal, [53] and social aspects [52] were also investigated. A comprehensive assessment of a potential tailings mining project has not been carried out.
In this study, the deposit in its current condition is assessed and classified from a sustainability viewpoint, considering the area around the TSF within a radius of 10 km. Information was derived from the existing scientific studies on the deposit in References [52,53,54,60] and from publicly available data sources. The knowledge base on the deposit is summarised in Table A11. The material flows and economics are evaluated quantitatively based on published data and model assumptions for unavailable data (cf., Table 2).

3.1.2. Setting Objectives of the Project

Based on current research, the TSF Bollrich offers the potential for action by a public decision-maker at national level seeking a sustainable solution at reasonable costs. Based on the stakeholder considerations (cf., Section 3.2.2), 3 relevant stakeholder perspectives are considered: NGOs with environmental concerns due to TSF-related risks, private investors seeking economic opportunities, and the city administration of Goslar seeking an opportunity to create high-value jobs and to establish a regional recycling industry.
The selected scenarios’ objectives are: no RMs recovery (NRR0)—a physically and chemically stable, maintenance-free structure is created. Environmental and social risks are minimised by preventing the release of contaminants due to recovery and by avoiding the transport of hazardous material in a vulnerable region. The environment is rehabilitated, and the current landform is retained. RMs recovery (CRR1)—application of conventional technologies with off-site residue disposal. The original landform is restored, and the area is rehabilitated. RMs recovery (ERR2)—the same processes as in CRR1 but the produced residues are sold to a local recycling company.

3.1.3. Scenario Modelling

In the rehabilitation scenario (NRR0), a leachate collection system is installed, the TSF is stabilised by in-situ concrete injection, its surface is sealed, and leachates are captured and treated on site in a 5-year closure phase. In a 30-year aftercare phase, emissions and the TSF’s stability are monitored. Reference data is used for the techno-economic assessment (cf., Table A12 and Table A13). No historical data is available for a price forecast.
Figure 3 outlines the general project for CRR1 and ERR2 from a material flow perspective. Geotechnical and mine planning considerations are conceptual. The low mineral content estimated in Reference [53] is adopted to estimate conservatively (cf., Table A11). A homogeneous deposit is assumed. The tailings are mined in a dredging operation (cf., Figure S10) and processed on site in the existing processing plant at a constant rate over a 10-year period, followed by a 1-year rehabilitation period. The products leave the system boundaries at the mineral processing plant’s outlet where the reference point is set. The target minerals are extracted with a multi-stage froth flotation as specified by Roemer [60] (cf., Table A16) based on a sampling campaign on the lower pond [53]. A pure industrial mineral concentrate (BaSO4), a mixed sulphide concentrate containing base metals (Cu, Pb, Zn) and high-technology metals (Co, Ga, In), and mixed residues are produced. Tailings, commodity, and residue masses are estimated as dry matter.
The database with fixed and variable parameters for the techno-economic assessment is given in Table A14, Table A15 and Table A16. Energy flows are considered for tailings recovery and processing. Initial and intermediate investment costs for mining and processing equipment, and infrastructure, are included in the capital expenditure (CAPEX). Variable costs for mining, processing, electric and mechanical maintenance, administration, and general services are included in the operating expenditure (OPEX). Revenues are realised immediately. In ERR2, the mixed residues are sold to a recycling company for an application in construction materials. Mine site preparation costs are estimated to be low due to the simple mine plan, good mine site accessibility by road, and the availability of buildings for the processing plant and the operation’s administration. Mine site rehabilitation costs such as for revegetation and environmental monitoring are considered. Assets and machinery are liquidated at the operation’s end at a residual value of 10%.
Certain relevant aspects are out of the scope of this study: costs for preventing emissions during development, mining, transport and processing, for renewing the railway access, for removing roads and railway at mine closure, for treating and disposing of water from mining and processing, and downstream processing.
The uncertainty analysis comprises 3 price forecasts: pessimistic (p), mean (m), and optimistic (o), after which the respective scenarios are named (CRR1p, CRR1m, etc.). The pessimistic and optimistic forecasts refer to the lower and upper limits of the 95% confidence interval, respectively. CuFeS2, PbS, and ZnS concentrate prices are estimated [62]. Prices for selling and costs for disposing of residues are fixed due to a lack of data. The mean price forecast (m), representing the most realistic case, is focussed. Material flow uncertainties are neglected as the dependence on price and cost variations is focussed.

3.2. Case Study Assessment

3.2.1. Environmental Assessment: Status Quo Risks

The area around the TSF is contaminated with heavy metals such as As, Cd, and Pb, which partially exceed the concentration threshold values for soil in parks and recreational areas in Germany [63,64]. However, the source of pollution could also be the former transport of ores via the Bollrich area to smelters in Oker [65]. Hence, the TSF’s contribution to the pollution is unknown.
No data is available on the TSF’s impact on human health, local flora and fauna, and surface and groundwater as there currently is no monitoring in place [53]. Dust emissions from the TSF can be excluded due to the wet tailings storage. The neutralisation sludge is unlikely to emit dust as it hardens when being exposed to air [54]. Heavy-metal-laden seepage is collected at the foot of the dam and returned into the TSF [53]. However, the unsealed TSF base constitutes a risk for the release of contaminants [53]. A general safety concern is that the TSF is freely accessible (observed on Google Earth [50]), and there are several trails around the TSF (https://regio.outdooractive.com/oar-goslar/de/touren/#filter=r-fullyTranslatedLangus-,sb-sortedBy-0&zc=15,10.46323,51.90085, accessed on 16 January 2021). Hence, people who are not familiar with the area may come in direct contact with the TSF.
The main dam’s stability in its current state and in the case of extreme rainfalls could be confirmed by conservative calculations [66]. However, 2 sinkholes in karstified zones in near vicinity to the TSF were reported [53]. The knowledge on the karstified zones is limited [53] so that the long-term risk for the TSF’s stability is currently unknown.

3.2.2. Social Assessment: Stakeholder Considerations

The Harz region has an ore mining history ranging from the Middle Ages to the 1980s [52]. Today, the region is facing the challenges of demographic change, young people’s emigration, a weak economy, and environmental burdens from former mining [52,65]. A particularity is the Goslar community’s and city administration’s strong awareness of the region’s mining history, which is regarded as a cultural heritage and an important factor for tourism [52,65]. This can be observed in public social media such as the Goslar Tales forum: the category Mines and Smelters has 70 topics from 2011 to 2019 with 925 contributions (http://www.goslarer-geschichten.de/forum.php, accessed on 26 September 2020). The TSF’s history, basic knowledge, opinions, and safety concerns on water quality are discussed, and photos and videos are shared.
The results of Bleicher et al. [52] are summarised: generally, RMs recovery from mine waste is regarded as a development opportunity for the Harz region, and the trust in scientists and the industry is shared by public media. Scientific institutions and the industry are identified as the current regional drivers of CRMs recovery from mine waste. All interviewed stakeholders were in favour of developing knowledge and technologies for mine waste valorisation, with the exception of minor criticism from an environmental activist about the presumption of scientists that good ideas are approved by everyone. However, environmental NGOs see RMs recovery from mine waste as an opportunity to at least partially rehabilitate the environment. The city’s administration is interested in RMs recovery from mine waste since the establishment of a recycling industry might attract highly skilled workers, and the possible knowledge transfer with scientific institutions and the opportunity to test novel technologies is seen as one of the region’s strengths.

3.2.3. Techno-Economic Assessment: Material Flow Analysis

No material flow takes place in NRR0 due to in-situ stabilisation. Figure 4 depicts the specific material flows for the RMs recovery scenarios (CRR1, ERR2) (cf., Figure A1 for a detailed production breakdown). Over a 10-year period, 7.1 million t of tailings are mined and processed. In CRR1, 2.7 million t of commodities (i.e., 38 wt% of total tailings), and 4.4 million t of mixed mineral residues are produced. The commodities consist of an industrial mineral and a mixed sulphide concentrate. In ERR2, all tailings are valorised. The commodities (CRR1, ERR2) leave the system boundaries for off-site conditioning.

3.2.4. Techno-Economic Assessment: Discounted Cash Flow Analysis

Table 3 summarises the results of the DCF analysis (cf., Figures S15–S17). Generally, mineral RMs recovery is economically viable (CRR1m, ERR2m) under the project’s current state of assessment. The DCF analysis yields positive NPVs in ERR2 regardless of the price forecast. The NPV in CRR1 becomes negative in the pessimistic forecast (CRR1p). The NPVs of NRR0, CRR1m, and ERR2m are EUR −124.5 million, EUR 73.9 million, and EUR 172.5 million, respectively. 98% of all costs in the rehabilitation scenario (NRR0) are attributed to the 5-year closure and leachate phase. In the mineral RMs recovery scenarios (CRR1m, ERR2m), the largest share of revenues is attributed to BaSO4 with a 49% and 47% contribution, respectively, and a share of the total commodity masses of 64.4 wt% and 24.5 wt%, respectively. The second highest revenues are attributed to Zn with a contribution of 27% and 25%, respectively, and a ZnS share of the total commodity masses of 5.5 wt% and 2.1 wt%, respectively. The high-technology metals Co, Ga, and In contribute least to the revenues from RMs sales with a combined share of ca. 2% of total revenues and a combined share of total commodity mass of 0.6% and 0.02%, respectively.
Residue disposal is the highest cost factor in CRR1m with a share of 62% of total costs. The OPEX is the second highest cost factor in CRR1m and the highest in ERR2m with a share of total costs of 21% and 58%, respectively. In both scenarios, the smallest cost factor is electric energy consumption with a share of 0.8% and 2.4%, respectively.

3.2.5. Techno-Economic Assessment: Sensitivity and Uncertainty Analysis

The NPV is most sensitive to BaSO4 price variations (cf., Figure A2 and Figure A3). In CRR1m and ERR2m, a decreased BaSO4 price by 69% and 100% yields an NPV decrease of 100% and 62%, respectively. In CRR1m, decreased Pb and Zn prices by 100% yields an NPV decrease of 42% and 79%, respectively. In ERR2m, a decreased Zn price by 100% yields an NPV decrease of 34%. The NPV is relatively insensitive to other price variations.
Residue disposal was the most influential cost factor in CRR1m, with a price increase of 84% yielding an NPV of zero. CAPEX and OPEX increases of 504% and 253% (CRR1m), respectively, and 1178% and 592% (ERR2m), respectively, yields NPVs of zero.

3.2.6. Legal Assessment: Basic Considerations

The legal aspects for a possible project execution have not been considered so far. The TSF is still monitored under Mining Law (State Office for Mining Energy and Geology (LBEG), personal communication, 16 September 2020). As for the right of mining, it needs to be assessed if the mining or waste legislation applies [67]. Goldmann et al. [53] rate the legal aspects for environmental protection as follows: strict legal restrictions and high efforts to achieve legal consent are expected since heterogeneous and high-quality flora and fauna ecosystems were identified during preliminary on-site inspections. It is likely that an environmental impact study and a concept to protect the ecosystems and/or to remediate impacts upfront are necessary. Potential impacts on the surrounding protected natural areas and landscapes need to be assessed. As for water protection, potential impacts on the river Gelmke in near vicinity (cf., Figure 2) and the nearby Ammentalbach need to be assessed. Potential impacts on groundwater are unclarified.

4. Discussion

4.1. Interpretation of the Case Study Results

The rating results are summarised in the categorisation matrix in Table 4 and Table 5. The justification for the rating is given in Table A17, Table A18, Table A19, Table A20, Table A21, Table A22, Table A23, Table A24, Table A25 and Table A26. As no RMs are recovered in the rehabilitation scenario (NRR0), only the overall project is rated. The lowest rating in a category is chosen for the rating of the overall category (cf., Reference [68] (p. 37)).
For NRR0, the categorisation matrix shows that the knowledge on the TSF’s geology has medium confidence (G2). The rehabilitation scenario’s state of technological development has a low overall rating (F3) due to the uncertainty regarding possible ordnance, the conceptual operational design, the unclarified usability of TSF water, and the unclarified long-term storage safety. The infrastructural conditions (F1–F2) and rehabilitation planning (F2) are rated high. As only costs are incurred and as there currently is no knowledge on a potential financial support, the economics are rated low (E3.3a). As for the environmental aspects, the unclarified potential dust emission and in-situ cementation of reactive material lead to a low rating (E3.3b). As for the social aspects, only the retained landscape is rated positively (E2c). The legal aspects are generally underdeveloped (E3.3d).
In CRR1m and ERR2m, the project can be expected to be economically viable (E3.1a). However, the NPV in the pessimistic forecast for CRR1 is negative. ERR2 is more resilient in this respect due to the sales of the new residues. The favourable economics of ERR2 are highlighted in the overall category rating (E.3.1a) as opposed to CRR1 (E3.3a) due to the higher uncertainty in the pessimistic price forecast. The driving revenue factor is the BaSO4 sales due to its relatively high grade (24.5 wt%), its high price compared to the other commodities, its high recovery rate (74%), and the forecasted price increase. The BaSO4 price is relatively stable, with the largest price drop being ca. 17% in the past 20 years (cf., Figure S3). CRR1m is relatively insensitive to BaSO4 price variations with the NPV becoming negative at a decreased BaSO4 price by 69%. ERR2 is more resilient with a BaSO4 price drop to EUR 0, leading to a decreased NPV of 38%. In general, the presence of real estate, transportation, and utilities infrastructure reduces the mine development costs.
Residue disposal is the greatest cost factor in CRR1 with 64% of all costs, and it is the greatest economic risk with a price increase of 93% leading to a negative NPV. A price increase is possible if a further conditioning is necessary to meet the criteria of disposal sites. Regarding CAPEX and OPEX, CRR1m and ERR2m are relatively insensitive to cost variations, and they are regarded as economically viable given that the estimates are in the accuracy and contingency range for scoping studies of 50% and 30%, respectively [45].
For the upper pond, there is high uncertainty regarding geological knowledge on the neutralisation sludge, as well as the Co, Ca, and In contents (G3). The TSF’s volume, and the BaSO4 and base metal contents are well known (G2). Metallurgical testwork on the tailings from the upper pond is missing (F3), and it is unknown if the neutralisation sludge could be valorised in ERR2. These tailings might be difficult to process due to the high sulphate ion content [54]. If they need to be disposed of too, the disposal costs would increase in both scenarios (CRR1, ERR2). RMs recovery has a higher rating regarding environmental aspects as compared to rehabilitation only (NRR0). However, planning considerations such as the resettlement of rare flora and fauna still requires fundamental work (E3.3d), and the RMs efficiency (E3.3c) and preservation of RMs for future generations (E3.2c) in CRR1 could be improved. In contrast, the complete tailings valorisation (E1c) and high RM efficiency (E3.1c) are positively highlighted in the categorisation matrix. The development status of social aspects is generally low, just as for legal aspects (E3.3d).
For the individual RMs, a clear distinction in the geological and technological categories between the development status for BaSO4 (G2F2), base metals (G2F2), FeS2 (G2F1), and inert material (G2F1) can be seen as compared to the high-technology metals (G3F3). The development status for economic and environmental aspects is heterogeneous. Most RMs have a high economic importance or are CRMs in the EU, and all except for FeS2 and inert material have a clear demand. The mean RM price forecast yields increasing BaSO4, Co, and In prices (E3.1a); stagnant Pb and Zn prices (E3.2a); and decreasing Cu and Ga prices (E3.3a). For the new residues, the Pb solid matter content and dissolved Pb in leachate impede a disposal as inert waste (DK 0 class) (E3.2b) [61]. On the extreme ends, Ga and FeS2 has the lowest (G3F3E3.3a) and highest (G2F1E3.2a) rating, respectively.
In sum, all 3 scenarios are rated equally in the overall rating in terms of the degree of confidence in the geological estimates and technical feasibility (G2F3). The scenarios differ in the economic performance with rehabilitation incurring costs only, and CRR1 having a higher uncertainty as compared to ERR2. Considering the proposed differentiation of the E category, the scenarios are categorised as G2/F3/E3.3a/E3.3b/E3.3c/E3.3d (NRR0), G2/F3/E3.3a/E3.2b/E3.3c/E3.3d (CRR1), and G2/F3/E3.1a/E3.2b/E3.3c/E3.3d (ERR2). The conversion into the current official UNFC categorisation yields G2F3E3 for all 3 scenarios. There is currently no class for this categorisation [44]. In comparison to the categorisation of G4F3E3 in the preceding screening study [43], only the G category could be improved.

4.2. Reconciliation of Stakeholder Perspectives with an Application of the UNFC Principles

Environmental NGOs’ perspective: the TSF Bollrich constitutes an ecological burden in a sensitive environment with high potential long-term environmental and social risks [43]. Indeed, the TSF’s current geomechanical state is stable, but it requires constant maintenance such as the removal of large trees and assuring seepage in the main dam [66]. The TSF is an upstream dam type, which is the most vulnerable type [16,20]. The lacking knowledge on the karstified zones in the area and the former occurrence of sinkholes near the TSF are currently rated as non-problematic [53]. However, for a conservative approach, the risk must be rated high due to the uncertainty. A sudden release of the contained masses and toxic elements would cause widespread environmental destruction and social issues, and would threaten human lives [43]. Therefore, the long-term physical and chemical risks and associated legacy costs are regarded as a necessity to act. Hence, early actions are preferable, and the rehabilitation costs (NRR0) can be seen as external costs borne by society to prevent harm. As the TSF is integrated well into the landscape, being visible only from nearby hills or from close up, the benefit of NRR0 is that the current landscape is mostly retained. On top, NRR0 has a relatively short duration of perceptible works on the TSF of 5 years. Hence, negative environmental and social impacts due to project execution are kept at a minimum as compared to RMs recovery (CRR1, ERR2). However, stabilising the tailings impedes a future RMs recovery. On top, rehabilitation incurs costs only so that a combination with RMs recovery (CRR1, ERR2) is preferable. Since the new residues in CRR1 consume land due in a disposal site and since future emissions cannot be excluded as the storage conditions are currently unclear, ERR2 is preferable.
Private investors’ perspective: TSF rehabilitation (NRR0) generates relatively high revenues. However, the TSF Bollrich is an economically viable source of important RMs. Since a domestic RMs recovery can contribute to reducing RM supply risks by diversifying the sourcing of CRMs on a national level, a private company could benefit from a positive public perception when engaging in RMs recovery. As CRR1 and ERR2 include environmental rehabilitation, they reduce the anthropogenic footprint. As the highest revenues of all scenarios are generated in ERR2, and as there is a certain economic risk in CRR1 shown with the pessimistic price forecast, ERR2 is preferable economically.
Goslar city administration’s perspective: NRR0 is in line with the city development goals [65] by restoring the recreational qualities of the TSF area in a relatively short period. However, the anthropogenic footprint is not reduced and the tailings’ long-term stability is unclear [69] so that future measures might be necessary. With RMs recovery (CRR1, ERR2), the city administration saves rehabilitation expenses. An intensified interaction of industry and scientific institutions could strengthen the region in the long run. However, the short duration of active works (CRR1) thwart the goal to establish long-term high-quality jobs and to attract investors who seek long-term opportunities [65]. Such opportunities are created in ERR2 so that the Harz region’s challenge of a weak economic structure and emigration of young people can be tackled [52], and an innovative recycling industry can be established [65]. Dealing with the region’s environmental legacy from former mining is seen by the city administration of Goslar as a key challenge for a sustainable development [65] so that negative impacts of new residues must be avoided (ERR2).
Résumé: with the application of the UNFC-principles, the advantages and disadvantages of all 3 scenarios could be made visible for all 3 stakeholders. The overview of all factors shows that all 3 stakeholder interests are best fulfilled with the RMs recovery scenario ERR2 in which most benefits are generated, namely, environmental rehabilitation, economic revenues, and long-term regional development. In the assessed constellation, the city administration of Goslar would be a particularly eligible main project driver under compulsory consideration of the enablers environmental NGOs and private investors.

4.3. Path Forward for the Case Study Bollrich

For the RMs recovery scenarios (CRR1, ERR2), a higher rating of the project as potentially viable (G2F2E2) requires the following aspects to be addressed: the extent of karstified zones needs to be investigated to better assess the risk of a potential damage to the TSF. The amount of dam material, and the amount, composition, distribution and valorisability of neutralisation sludge need to be investigated. Furthermore, a solution is required for the discharge of the Rammelsberg mine water, preferably with a recovery of RMs such as Zn. The costs for residue disposal (CRR1) and conditioning for an application in construction materials (ERR2) needs to be investigated. To enhance RM efficiency, a potential concentrate buyer needs to be willing to valorise the FeS2 and to recover the high-technology metals. It should be investigated if all residues in ERR2 can be valorised. The recoverability of As, Cd, Cr, Ni, and Tl needs to be investigated as they are important in high-technology applications, e.g., robotics or decarbonised energy production [70].
A milestone is the determination of site-specific processing costs for which reference values are used in this article. An economic estimation after taxes and other governmental charges are required to make it comparable across country borders [71]. An uncertainty analysis on tailings mass could account for errors in the geological estimates.
In terms of legal aspects, fundamental work must be carried out such as the estimation of costs and the duration of clarifying legal barriers, the engagement of authorities, and the drafting of applications. As for environmental aspects, the present flora and fauna needs to be inventoried in detail; measures for the compensation of environmental impacts need to be drafted; and rehabilitation, environmental monitoring, and post-closure land use plans need to be conceptualised. For the endorsement of a project plan, a disposal site for residues needs to be determined, and a transportation concept must be developed.
A comprehensive systematic stakeholder assessment is required. The process should be transparent and clearly structured to enable a fact-based discussion at all times. For all scenarios, the TSF’s long-term risks need to be weighed against the temporary disturbance of local nature and communities, potential long-term regional benefits such as environmental rehabilitation, and the local recruitment of workforce.

4.4. Integrating Sustainability Aspects into Raw Materials Classification

RMs recovery from tailings can have certain benefits: processing the already ground tailings is less energy-intense than processing ores under similar conditions [72]. The potential savings are high since ore crushing and grinding are the most energy-intense processes with ca. 40% of a mine’s energy consumption [73,74]. Moreover, it is increasingly acknowledged that aspects other than the RMs have to be considered in present-day RMs assessments [52]. RMs recovery from tailings offers the opportunity to rehabilitate the environment [12,75], which can reduce environmental and social risks. Hence, tailings can be regarded as a secondary RM source with a lower social conflict potential than ores [11].
The challenge is to identify and communicate these potential benefits, especially for environmental and social aspects [46]. Indeed, geological and techno-economic aspects can be assessed with established methods from the conventional CRIRSCO classification [45], but it is unsuitable for capturing sustainability aspects [43,49]. In contrast, the UNFC recognises environmental and social aspects as potential driving factors, integrating them into the classification [44]. Current shortcomings of the UNFC are its lacking practicability [8], user guidance [43,49], specification of knowledge which must be generated in very preliminary studies [49], and standardised assessment and classification template for anthropogenic RMs including key factors which must be considered [47,49]. This article demonstrates how one can be guided through a practical UNFC application. Established methods from the conventional mineral RMs classification are combined with methods to account for environmental and social benefits. With the following aspects, the developed approach supports the integration of sustainability aspects into RMs classification:
First, the report of on-site exploration data by Goldmann et al. [53] on the TSF Bollrich documents relevant aspects extensively but it lacks a frame for an overall rating. In their report, a techno-economic classification of the tailings in terms of conventional resources or reserves as well as the determination of cut-off grades was not possible due to the geological uncertainties [53]. Environmental and legal aspects are discussed separately, but they do not contribute to the classification. This is common in current classification practice, which focusses on economic aspects [16,40]. Therefore, current practice cannot fully reflect a project’s potentials. In contrast, the presented UNFC-compliant assessment and classification approach provides a comprehensive framework to communicate the development status of the TSF Bollrich case study by considering all relevant geological, technological, and environmental-socio-economic aspects on site during exploration.
Second, mining companies worldwide are increasingly recognising that their economic interests need to be aligned with social values for long-term success [6,23,76]. However, the reinterpretation of waste as a RM source requires a change of mindset [52]. In this context, a challenge is to create a common understanding of sustainable acting as local stakeholders’ perspectives on sustainable mining often diverge [77]. Hence, the sustainable prospects of a potential project need to be communicated transparently to local communities in the project development phase to create a common understanding. Thus, the developed assessment and classification approach offers the opportunity to integrate a stakeholder assessment in the decision-making process. The needs of local stakeholders are particularly addressed in terms of impacts related to land use, the environment, and health.
Third, the example of the Harz region highlights the importance of including social aspects such as involving local communities in the development of RMs recovery projects and transparently communicating potential long-term impacts on former contaminated sites: although the Mansfeld area is comparable to the Goslar area, the local population is sceptical about RMs recovery due to dishonest communication and selfish behaviour of potential project developers in the past [52]. Especially in densely populated areas, social conflicts can arise. The inclusion of local values, such as those expressed by the town council as the elected representative of local citizens, can help to improve the sustainability of a project and influence a project assessment in terms of enhancing the common good [77].
Fourth, the developed categorisation matrix addresses several issues: in the classification of tailings with conventional practice, the RM potential beside the target RM potential is usually not captured, e.g., References [37,38,39]. This means that part of the RM potential remains unassessed. The distinct classification of the individual RMs in the categorisation matrix highlights the potentials of and barriers to their recovery. The heat map-like visualisation of the categorisation enables a quick comparison of all aspects with each other, promoting a transparent communication of the assessment results. For instance, in each of the scenarios, the impairment of local ecosystems around the TSF Bollrich are captured in the categorisation matrix. Consequently, a project developer is required to comment on how further measures can be taken to overcome the scenario-specific barriers. As another example, even a longer duration of the RMs recovery scenarios (CRR1, ERR2) could be considered more favourable than the relatively short impairment caused by the rehabilitation scenario (NRR0) due to the long-term benefits resulting from the risk reduction associated with the removal of the tailings. In a stakeholder assessment, all relevant stakeholders can question the factors considered in order to reach a mutually agreed decision. In the course of the study, consensus building can be documented and evaluated.
Fifth, the case study shows how the application of the UNFC principles can reconcile 3 different stakeholder perspectives: the TSF-related long-term risks are identified as the main project drivers. Considering the remediation costs as external costs borne by society enables a comparison of the monetary impacts of the TSF in case of rehabilitation (NRR0) with those of the other scenarios (CRR1, ERR2). Scrutinising the considered stakeholder perspectives leads to the following common values: minimisation of physico-chemical risks associated with the TSF, minimisation of emissions to the environment during any operation, achievement of a long-term aftercare-free state after project execution, and the preservation of the area’s recreational value and ecosystem quality. On this basis, the RMs recovery scenario ERR2 should be prioritised since it addresses all common values.

4.5. Development Potential of the Assessment and Classification Approach

A comparison of the classification result from the screening of the TSF Bollrich (G4F3E3) in Reference [43] to the result from this article (G2F3E3) shows that the improvements in the E and F categories are not reflected in the overall rating. This can be explained with the selected factors and indicators to measure the development status, especially for the social and legal aspects. A comparison of the factors and indicators applied in this study with other case studies could show if they all suit the scope of a very preliminary study or if some of them should be applied in more developed studies. Additionally, the low rating in the E and F categories can be explained with the procedure to choose the lowest rating in a category as the overall rating. An example is the rating of economic aspects for the RM Cu: despite the favourable rating of the demand (E3.1a) and RM criticality (E2a), the low rating of the forecasted decreasing price development (E3.3a) is determinant. This issue could be resolved by weighting factors for instance. It is worth noting that there is currently no class defined for a rating as G2F3E3. A proposal is made for a possible description: based on very preliminary results, a prospective project has been identified as a potential source of RMs for which further studies are required to justify further development.
Factors related to the impact on global warming are not considered in this study. This could be remediated by performing a life cycle assessment (LCA). It enables the consideration of external costs, and it was also used in conjunction with the UNFC [78]. Another advantage is that it allows for a comparison to projects from primary mining [78]. Regarding tailings, the LCA has been used to assess aspects such as environmental impacts in early phases of mine planning [79], and TSF site management and closure scenarios [80]. For RMs recovery from tailings, an LCA should provide decision-makers with information on environmental impacts which could be compared with primary mining. In general, the LCA requires site-specific data for a detailed analysis of processes and their impacts [81]. The LCA performed by Goldmann et al. [53] for the conceptualised dredging system shows that an LCA in very preliminary studies can be applied to assess different mining options. The use of LCAs in early project development phases on aspects such as mineral processing and a possible contribution to the classification must yet be examined.

5. Conclusions and Recommendations

To recapitulate, the deposition of tailings in TSFs impacts the environment and local communities and can even threaten human health [16]. These impacts could be aggravated in the future due to a climate-change-induced increased likelihood of extreme weather occurrences [20]. At the same time, the global tailings production is increasing due to an increasing demand for highly important RMs, which are forecasted to at least double between 2010–2050 [4,5]. The increasing RM demand could partially be met by using the RM potential of tailings: 10–20% of all technospheric metal RMs are estimated to be deposited in landfills and TSFs; metal grades in tailings can be as high as in ores [40]. Technological advancements enable the exploitation of the residual metals content [29,82] or the valorisation in construction materials [83,84]. RMs recovery from tailings can also be an opportunity to reduce the environmental and social impacts of TSFs [75]. For the re-interpretation of tailings as a source of RMs, the potential benefits of and barriers to their exploitation need to be captured and assessed holistically. The assessment shows that the TSF Bollrich is an economically interesting source of BaSO4; the base metals Cu, Pb, and Zn; and the high-technology metals Co, Ga, and In. Removing the TSF has positive long-term environmental impacts. However, there is high uncertainty regarding geological knowledge and technological extractability of the CRMs. An issue is that the applied social and legal factors are generally underdeveloped.
The research questions are answered: (1) the tailings deposit Bollrich is an example of a RMs recovery project which takes place in a complex environment where the influence of various site-specific stakeholders needs to be considered. With a UNFC-compliant approach, different stakeholder perspectives can be addressed in order to derive a commonly acceptable solution. In the case study, the enhanced mineral RMs recovery scenario ERR2 aligns the interests of environmental NGOs, private investors, and the city administration of Goslar: environmental rehabilitation to protect the TSF’s vulnerable environment, the generation of profits, and a long-term regional development. It can therefore be concluded that a UNFC-compliant assessment is suitable for identifying areas of conflict between economic, environmental and social interests, and for achieving a generally acceptable solution. (2) It is suggested that for very preliminary studies, aspects relevant for project development and execution, impacts due to project execution, and impacts after project execution should be considered. Furthermore, the availability of primary on-site exploration data and secondary research data could be regarded as a prerequisite for a very preliminary study on tailings. As tailings usually contain multiple RMs, a comprehensive overview of the RM potential with differentiation of individual RMs is required. The data must allow for an initial assessment of the following aspects: (i) characterisation and quantification of the total and individual RM content, (ii) laboratory investigation of processability, (iii) technological conceptualisation of project execution and aftercare measures, (iv) DCF analysis, (v) inventory on present rare flora and fauna, (vi) status quo environmental risk assessment, and (vii) identification of relevant stakeholders. After a clarification of these aspects, a project can be advanced to a preliminary study. (3) The identification and communication of sustainability aspects in RMs classification poses a challenge. Despite a project’s impact on its local environment and communities, related site-specific project potentials and barriers are usually not considered. The example of the Harz region demonstrates that, in addition to conventional economic interests, a site-specific approach is essential from the beginning of project development. The example of the tailings deposit Bollrich shows that an integration of local sustainability aspects into the assessment, represented by the development goals of the city administration of Goslar, can give a strong impulse for project development: strengthening the regional industrial role, creating high-value jobs, and developing tourism. The developed UNFC-compliant categorisation matrix captures the development status of specified factors and communicates the results in a quickly understandable manner in a heat-map-like style. Hence, it enables a point-by-point comparison of different scenarios so that the individual potentials and benefits become clear. In this way, the most auspicious option can be quickly identified, and its development can be justified.
Recommendations made: as for the case study TSF Bollrich, enhance the geological knowledge on the metalliferous CRMs; investigate the processability of the neutralisation sludge; assess the recoverability of As, Cd, Cr, and Tl; and consider a direct valorisation of RMs in the Rammelsberg mine water. If the RMs recovery project is executed, the city administration’s tax revenues could be used to rehabilitate other contaminated areas from former mining activities. In this way, the local community hosting the mining activity can benefit directly from it, which is uncommon in current practice [77]. Thus, RMs recovery from the TSF Bollrich could serve as a role model for a sustainable development of the Harz region. As for the developed approach, investigate if all selected factors and indicators, especially those for social and legal aspects, are suitable for very preliminary studies. Correspondingly, determine which factors are necessary and which are optional in very preliminary studies. Since the overall rating does not properly reflect the improvements made and deficits encountered in the course of several studies, introduce a reporting to support decision-making. As for the development of an anthropogenic RMs management, a database for the assessment of the global anthropogenic RM potential needs to be established. For this, waste producers could be obligated by law to report on all contained RMs in their wastes. Lastly, UNFC-compliant case studies on anthropogenic RMs are currently very labour-intensive due to a lack of experience. More UNFC-compliant case studies are needed to derive a reference base of project potentials and barriers. This would provide future studies with a benchmark for a quick recognition of a project’s prospects of reaching the next level of maturity.

Supplementary Materials

Figure S1: Results of autoregressive electric energy price forecast based on yearly historical data from 2014 to 2020 from Statista [85]. The blue line on the right-hand side depicts the mean price forecast, and the blue and grey areas represent the 95% and 75% confidence intervals, respectively, Figure S2: Results of autoregressive diesel price forecast based on yearly historical data from 1950 to 2020 from Statista [86]. The blue line on the right-hand side depicts the mean price forecast, and the blue and grey areas represent the 95% and 75% confidence intervals, respectively, Figure S3: Results of autoregressive BaSO4 price forecast based on yearly historical data from 2011 to 2020 from the USGS [87,88,89,90]. The blue line on the right-hand side depicts the mean price forecast, and the blue and grey areas represent the 95% and 75% confidence intervals, respectively, Figure S4: Results of autoregressive Co price forecast based on yearly historical data from 1996 to 2020 from the USGS [87,89,90,91,92,93]. The blue line on the right-hand side depicts the mean price forecast, and the blue and grey areas represent the 95% and 75% confidence intervals, respectively, Figure S5: Results of autoregressive Cu price forecast based on monthly historical data from 1999 to 2021 from IndexMundi [94]. The blue line on the right-hand side depicts the mean price forecast, and the blue and grey areas represent the 95% and 75% confidence intervals, respectively, Figure S6: Results of autoregressive Ga price forecast based on yearly historical data from 1999 to 2020 from the USGS [87,89,90,91,92,93]. The blue line on the right-hand side depicts the mean price forecast, and the blue and grey areas represent the 95% and 75% confidence intervals, respectively, Figure S7: Results of autoregressive In price forecast based on yearly historical data from 1999 to 2020 from the USGS [87,89,90,91,92,93]. The blue line on the right-hand side depicts the mean price forecast, and the blue and grey areas represent the 95% and 75% confidence intervals, respectively, Figure S8: Results of autoregressive Pb price forecast based on monthly historical data from 1999 to 2021 from IndexMundi [95]. The blue line on the right-hand side depicts the mean price forecast, and the blue and grey areas represent the 95% and 75% confidence intervals, respectively, Figure S9: Results of autoregressive Zn price forecast based on monthly historical data from 1999 to 2021 from IndexMundi [96]. The blue line on the right-hand side depicts the mean price forecast, and the blue and grey areas represent the 95% and 75% confidence intervals, respectively, Figure S10: Conceptual mine plan and processing schematic. The light grey shaded field indicates the spatial system boundaries and the dark grey shaded fields indicate products (adapted after Goldmann et al. [53]), Figure S11: Results of the sensitivity analysis of the conventional mineral RMs recovery scenario (CRR1p) with pessimistic price forecast and a discount rate of 15%, Figure S12: Results of the sensitivity analysis of the conventional mineral RMs recovery scenario (CRR1o) with optimistic price forecast and a discount rate of 15%, Figure S13: Results of the sensitivity analysis of the enhanced mineral RMs recovery scenario (ERR2p) with pessimistic price forecast and a discount rate of 15%, Figure S14: Results of the sensitivity analysis of the enhanced mineral RMs recovery scenario (ERR2o) with optimistic price forecast and a discount rate of 15%, Figure S15: Comparison of costs, revenues and NPVs for the mean price forecast of the 3 scenarios with no mineral RMs recovery (NRR0), conventional mineral RMs recovery (CRR1m) and enhanced mineral RMs recovery (ERR2m). With a discount rate of 15%, NRR0 is discounted over a period of 35 years, and CRR1m and ERR2m over a period of 11 years, Figure S16: Comparison of costs, revenues and NPVs for the pessimistic price forecast of the 3 scenarios with no mineral RMs recovery (NRR0), conventional mineral RMs recovery (CRR1p) and enhanced mineral RMs recovery (ERR2p). With a discount rate of 15%, NRR0 is discounted over a period of 35 years, and CRR1p and ERR2p over a period of 11 years, Figure S17: Comparison of costs, revenues and NPVs for the optimistic price forecast of the 3 scenarios with no mineral RMs recovery (NRR0), conventional mineral RMs recovery (CRR1o) and enhanced mineral RMs recovery (ERR2o). With a discount rate of 15%, NRR0 is discounted over a period of 35 years, and CRR1o.

Author Contributions

Conceptualisation, R.S.; methodology, R.S.; validation, R.S., S.H.-A.; resources, R.S.; writing—original draft preparation, R.S.; writing—review and editing, R.S., S.H.-A.; visualisation, R.S.; project administration, R.S.; funding acquisition, R.S., S.H.-A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the German Ministry of Research and Education (BMBF) as part of the research project ADRIANA (Client II programme), grant agreement number 033R213A-D.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

This research used publicly available data available in the referenced sources. The database can be found in the Appendix A and supplementary materials.

Acknowledgments

The authors are thankful to Bernd G. Lottermoser for his comments and to Jonas Krampe for providing the R code. In addition, the authors would like to express their deep gratitude to two anonymous reviewers who helped to improve the manuscript.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

Abbreviation/UnitDescription
Aglat. argentum (silver)
Alaluminium
Aulat. aurum (gold)
BaSO4barium sulphate (barite)
Cdlat. cadmia (cadmium)
Cocobalt
Culat. cuprum (copper)
CuFeS2copper iron disulphide (chalcopyrite)
Felat. ferrum (iron)
FeS2iron disulphide (pyrite)
Galat. gallia (gallium)
Inindium
Mnmanganese
Momolybdenum
Ninickel
Pblat. plumbum (lead)
PbSlead sulphide (galena)
Tllat. tellus (tellurium)
Znzinc
ZnSzinc sulphide (sphalerite)
ADRIANAAirborne spectral Detection of Reusable Industry mAterials in tailiNgs fAcilities
BMBFGerman Ministry of Research and Education
CAPEXcapital expenditure
CL:AIREContaminated Land: Applications in Real Environments
CRMCritical Raw Material
DCFdiscounted cash flow
EEast
ECEuropean Commission
EUEuropean Union
LOMLife of Mine
NNorth
NPVnet present value
OPEXoperating expenditure
Qty.quantity
RMraw material
TSFtailings storage facility
UNECEUnited Nations Economic Commission for Europe
UNFCUnited Nations Framework Classification for Resources
UNFC E categoryrepresents environmental-socio-economic viability
UNFC F categoryrepresents technical feasibility
UNFC G categoryrepresents degree of confidence in the geological estimate
USGSU.S. Geological Survey
WWest
°Cdegree Celsius (unit of temperature on the Celsius scale)
µmmicrometre (unit of length, equivalent to 10-6 metres)
ayear
kmkilometre (unit of length, equivalent to 103 metres)
kWkilowatt (SI-derived unit of power)
kWhkilowatt-hour (SI-derived unit of energy)
llitre (SI-derived unit of volume, equivalent to 10-3 m³)
mmetre (SI unit of length)
m2square metre (SI-derived unit of surface)
m3cubic metre (SI-derived unit of volume)
mmmillimetre (unit of length, equivalent to 10-3 metres)
tmetric tonne (unit of weight, equivalent to 1000 kilograms)

Appendix A

Table A1. Degree of confidence in the geological estimates (G) for the overall project rating with the UNFC-compliant categorisation matrix.
Table A1. Degree of confidence in the geological estimates (G) for the overall project rating with the UNFC-compliant categorisation matrix.
FactorExplanationDependence onModification afterIndicator & UNFC Rating
Geological conditions (relevant for project development)
(1) quantityamount of target RMsore quality, former processing efficiency, deposit volume[45]degree of geological certainty:
high (G1)
medium (G2)
low (G3)
(2) qualityphysico-chemical properties of target RMsformer processing, storage conditions[45]degree of geological certainty:
high (G1)
medium (G2)
low (G3)
(3) homogeneitydistribution of target RMs inside the depositmanner of former deposition[24]degree of geological certainty:
high (G1)
medium (G2)
low (G3)
Table A2. Technical feasibility (F) for the overall project rating with the UNFC-compliant categorisation matrix.
Table A2. Technical feasibility (F) for the overall project rating with the UNFC-compliant categorisation matrix.
FactorExplanationDependence onModification afterIndicator & UNFC Rating
TSF condition & risks (relevant for project development)
(4) ordnanceunexploded ordnance from armed conflictsregional history, former searching activities-degree of knowledge:
non-existence proven (F1)
existence proven (F2)
unclarified (F3)
Mine planning considerations (relevant for project execution)
(5) mine/operational designoptimising RMs recovery under consideration of strategic goals & restrictionsgeological knowledge on deposit, project planning phase, quality of model assumptions, legal restrictions[45]level of detail of planning:
extended (incl. detailed operational factors) (F1)
advanced (incl. pit configuration & processing scheme) (F2)
basic (conceptual) (F3)
(6) metallurgical testworkinvestigation of possible methods for mineral processingsampling techniques, representativeness of test feed, testing techniques[45]degree of research on mineral processability:
industrial scale (F1)
pilot scale (F2)
laboratory scale (F3)
(7) water consumptiondemand of fresh water supply for mining & processingavailable water resources, water efficiency of mining system[13,97,98]percentage of recycled water:
high (>80%) (F1)
medium (50–80%) (F2)
low (<50%) (F3)
Infrastructure (relevant for project development)
(8) real estateavailability of land & reusability of buildingsformer mine closure, current land use, time lapsed after abandonment[45]condition of infrastructure:
highly developed (fully reusable) (F1)
acceptable (usable after upgrade) (F2)
bleak (requires (re-)construction) (F3)
(9) mining & processingreusability of equipment related to general services, mining & processingformer mine closure, current land use, time lapsed after abandonment[45]condition of equipment:
highly developed (fully reusable) (F1)
acceptable (usable after upgrade) (F2)
bleak (requires new acquisition) (F3)
(10) utilitiesaccess to utilities supply lines (e.g., electricity)mine closure & time lapsed after abandonment, current land use, proximity to human settlements[45]condition of infrastructure:
highly developed (full access) (F1)
acceptable (access after upgrade) (F2)
bleak (requires (re-)construction) (F3)
(11) transportation & accessaccess to mine & markets via air, road, railway, or waterwaytopography, former mine closure, current land use, time lapsed after mine abandonment, proximity to human settlements[45]condition of infrastructure:
highly developed (fully reusable) (F1)
acceptable (usable after upgrade) (F2)
bleak (requires (re-)construction) (F3)
Post-mining state (relevant for future impacts)
(12) residue storage safetyability of new storage facility to safely store new residues for an indefinite time periodamount of new residues, topography, type of construction, climate, regional seismic activity[13,98,99,100]suitability of new disposal site for safe storage:
high degree of safety proven (F1)
preliminary assertion of safety (F2)
unsafe or unclarified (G3)
(13) rehabilitationprocess of recontouring, revegetating, & restoring the water & land valuesresidue characteristics, local ecosystem, landscape, environmental laws, local climate[101]level of detail of planning:
concrete (F1)
conceptual (F2)
none (F3)
Table A3. Economic viability (E a) for the overall project rating with the UNFC-compliant categorisation matrix.
Table A3. Economic viability (E a) for the overall project rating with the UNFC-compliant categorisation matrix.
FactorExplanationDependence onModification afterIndicator & UNFC Rating
Microeconomic aspects (relevant for project development)
(14) economic viabilityeconomic returns from projectmine planning, RMs prices, costs of input factors (labour, energy, materials), payments to public sector (e.g., taxes)[45,97]discounted cash flow over projected LOM:
positive (NPV >> 0€) (E3.1a)
neutral (NPV~0€) (E3.2a)
negative (NPV << 0€) (E3.3a)
(15) economic uncertaintyoverall uncertainty of economic estimatesdegree of detail in planning, data quality of economic estimate[45]uncertainty of cash flow in pessimistic scenario:
low (NPV >> 0€) (E3.1a)
medium (NPV~0€) (E3.2a)
high (NPV << 0€) (E3.3a)
Financial aspects (relevant for project development)
(16) investment conditionsconditions concerning taxes, royalties, & other financial regulations, which are a precondition for decision makers with respect to location & investmentcountry-specific regulations, condition of financial market, social considerations, environmental considerations[45,68]country rank on the ease-of-doing-business index:
country rank < 75 (E3.1a)
country rank 75–125 (E3.2a)
country rank > 125 (E3.3a)
(17) financial supportfinancial support from political institutions for innovative projects such as loans, equity financing, or guarantees can incentivise RMs from mineral wasteactive socio-political support[102]probability of approval:
high (E3.1a)
medium (E3.2a)
low (E3.3a)
Table A4. Environmental viability (E b) for the overall project rating with the UNFC-compliant categorisation matrix.
Table A4. Environmental viability (E b) for the overall project rating with the UNFC-compliant categorisation matrix.
FactorExplanationDependence onModification afterIndicator & UNFC Rating
Environmental impacts during project execution
(18) air emissionrisk of tailings being eroded by windparticle size, TSF cover, local climate, wind conditions, pit configuration[13,98]risk of dust emission:
low (<80%) (E1b)
medium (50–80%) (E2b)
high (>50%) (E3b)
(19) liquid effluent emissioneffluents from tailings can contaminate soil & surface watersoil liner, drainage system, wet tailings storage, local environment, tailings’ chemical properties[13,98]risk of groundwater contamination:
low (E1b)
medium (E2b)
high (E3b)
(20) noise emissionnoise & vibrations during mining; transport & processing can cause disturbances of local communities determined by individual & collective perceptionmine planning, protective measures, topography, proximity to human settlements[97]expected degree of impact:
low (E1b)
medium (E2b)
high (E3b)
Environmental impacts after project execution
(21) biodiversityinfluence on habitats & specieslocal ecosystem, mining system, landscape, rehabilitation measures[97]total number of protected species that are affected by mining activities & that will be resettled on post-mining land:
all (100%) (E1b)
some (1–99%) (E2b)
none (0%) (E3b)
(22) land useland requirement after mine closureamount of new residues, type of disposal, rehabilitation, land development opportunities[97]freely available post-mining land:
most (>80%) (E1b)
some (50–80%) (E2b)
little (<50%) (E3b)
(23) material reactivitycapability of contained minerals to produce AMDtarget minerals, concentration of sulphidic minerals[13,103]reduction of reactive material’s mass:
high (>80%) (E1b)
medium (50–80%) (E2b)
low (<50%) (E3b)
Table A5. Social viability (E c) for the overall project rating with the UNFC-compliant categorisation matrix.
Table A5. Social viability (E c) for the overall project rating with the UNFC-compliant categorisation matrix.
FactorExplanationDependence onModification afterIndicator & UNFC Rating
Social impacts during project execution
(24) local communitycommitment beyond formal regulatory requirements, the recognition of diverse values, & the right to be informed about issues & conditions that influence livescommunication with stakeholders, proximity to human urban, protected, or culturally relevant areas, participation of local communities in decision-making[68,97,104]probability of approval through active commitment:
high (>80%) (E3.1c)
medium (50–80%) (E3.2c)
low (>50%) (E3.3c)
(25) health & safetyprotection of workers & local communities from injuries & diseases, & environmentalpollutionmining system, local health & safety standards, corporate values for the establishment of a safe work environment & lively safety culture[97]total number of complaints or prosecutions for non-compliance in planning phase:
none (plans have been communicated publicly) (E3.1.c)
more than 1 (plans have been communicated publicly) (E3.2c)
none (plans have not been communicated publicly) (E3.3c)
(26) human rights & business ethicsdegree to which a mining company values ethically correct behaviourwages, right to organise trade unions, bribery & corruption, violation of human rights, forcefully gained control over land, a country’s governance[97]total number of complaints or prosecutions for non-compliance in planning phase:
none (plans have been communicated publicly) (E3.1.c)
more than 1 (plans have been communicated publicly) (E3.2c)
none (plans have not been communicated publicly) (E3.3c)
Social impacts due to project execution
(27) wealth distributiondistribution of earning between mining company, local communities, & governmenta country’s governance, choice of suppliers, & contractors; percentage of locally hired workers; wages[97]total number of complaints or prosecutions for non-compliance in planning phase:
none (plans have been communicated publicly) (E3.1.c)
more than 1 (plans have been communicated publicly) (E3.2c)
none (plans have not been communicated publicly) (E3.3c)
(28) investment in local human capitalfostering personal skill development & capacity-building of employees by education & skill developmentpercentage of locally hired workers, offering higher education & training & transferable skill development; degree to which work is contracted out[97]percentage of employees sourced from local communities:
high (>80%) (E3.1c)
medium (50–80%) (E3.2c)
low (<50%) or unclarified (E3.3c)
(29) degree of RM recoveryRMs can become inaccessible for recovery for future generationsdisposal of new residues, mineral processing, residue stabilisation, residue characteristics-residue disposal:
complete residue valorisation (E1c)
separate disposal (E3.1c)
mixed disposal (E3.2c)
sterilisation (E3.3c)
(30) RM valorisationutilising a RM in a sustainable manner to limit the impact of its recovery on the environmenttarget minerals, maturity of valorisation technologies, potential markets, RMs prices[97]total mass reduction as percentage of original tailings mass:
high (>80%) (E1c)
medium (50–80% (E2c)
low (<50%) (E3c)
Social impacts after project execution
(31) aftercarelevel of commitment & necessary measures on post-mining landland management, national regulations, rehabilitation measures-duration of aftercare measures:
short-term (<5 years) (E1c)
mid-term (5–30 years) (E2c)
long-term (>30 years) (E3c)
(32) landscapemining activities can cause a visual impact by transforming landscapestopography, local ecosystem, mine planning, local climate[97]impact on the environment:
positive (E1c)
neutral (E2c)
negative (E3c)
Table A6. Legal viability (E d) for the overall project rating with the UNFC-compliant categorisation matrix.
Table A6. Legal viability (E d) for the overall project rating with the UNFC-compliant categorisation matrix.
FactorExplanationDependence onModification afterIndicator & UNFC Rating
Legal situation (relevant for project development)
(33) right of miningregulations affecting project planning & realisationsupranational, national, & regional laws & rules[45]state of development:
application in development (E3.1d)
authorities engaged (E3.2d)
application not begun or unclarified (E3.3d)
(34) environmental protectionregulations affecting project planning & realisationsupranational, national, & regional laws & rules[45,53,97]state of development:
application in development (E3.1d)
authorities engaged (E3.2d)
application not begun or unclarified (E3.3d)
(35) water protectionregulations affecting project planning & realisationsupranational, national & regional laws & rules[45]state of development:
application in development (E3.1d)
authorities engaged (E3.2d)
application not begun or unclarified (E3.3d)
Table A7. Degree of confidence in the geological estimates (G) for the rating of individual RMs with the UNFC-compliant categorisation matrix.
Table A7. Degree of confidence in the geological estimates (G) for the rating of individual RMs with the UNFC-compliant categorisation matrix.
FactorExplanationDependence onModification afterIndicator & UNFC Rating
Geological situation (relevant for project development)
(36) quantityamount of target RMsore quality, former processing efficiency, deposit volume[45]degree of geological certainty:
high (G1)
medium (G2)
low (G3)
(37) qualityphysico-chemical properties of target RMsformer processing, potential revenues[45]degree of geological certainty:
high (G1)
medium (G2)
low (G3)
(38) homogeneitydistribution of target RMs inside the depositmine planning, mineral feed grade, timing of revenues[45]degree of geological certainty:
high (G1)
medium (G2)
low (G3)
Table A8. Technical feasibility (F) for the rating of individual RMs with the UNFC-compliant categorisation matrix.
Table A8. Technical feasibility (F) for the rating of individual RMs with the UNFC-compliant categorisation matrix.
FactorExplanationDependence onModification afterIndicator & UNFC Rating
Mine planning considerations (relevant for project execution)
(39) recoverabilityability to extract a wanted RM from the tailingstechnological development, state of metallurgical testing, equipment availability, state of target RM-percentage of RM which is extracted from the tailings:
high (>80%) (F1)
medium (50–80%) (F2)
low (<50%) (F3)
Table A9. Economic viability (E a) for the rating of individual RMs with the UNFC-compliant categorisation matrix.
Table A9. Economic viability (E a) for the rating of individual RMs with the UNFC-compliant categorisation matrix.
FactorExplanationDependence onModification afterIndicator & UNFC Rating
Microeconomic aspects (relevant for project development)
(40) demandexistence of a current practical use for the RM & absence of geological, technological, economic, environmental, social, &/or legal objections against its recoverymarket, price, available technology, public acceptance, regulations-favourable conditions for RM extraction:
yes (E3.1a)
conditionally (E3.2a)
no (E3.3a)
(41) RM criticalityimportance of a RM in an industry or economyeconomic importance, supply risk, substitutability[59]allocation to EC’s criticality assessment:
CRM (E1a)
high economic importance or supply risk (E2a)
no criticality (E3a)
(42) price developmentforecasted RM price behaviourdemand, supply risk, quality, & quantity of historical data-forecasted mean price development over the project’s duration:
positive trend (E3.1a)
stagnant trend (E3.2a)
negative trend (E3.3a)
Table A10. Environmental viability (E b) for the rating of individual RMs with the UNFC-compliant categorisation matrix.
Table A10. Environmental viability (E b) for the rating of individual RMs with the UNFC-compliant categorisation matrix.
FactorExplanationDependence onModification afterIndicator & UNFC Rating
Impacts after project execution
(43) solid mattera RM’s potential to harm human health, flora, &/or faunaconcentration, toxicity, valorisation path[13,105,106]concentration of RM solid matter in new residues to qualify for class DK 0 (inert waste) according to German Landfill Regulation DepV [61]:
non-hazardous material (E1a)
threshold value not exceeded (E3.1a)
threshold value exceeded (E3.2a)
unclarified (E3.3a)
(44) eluatea RM’s potential to harm human health, flora, &/or faunaconcentration, toxicity, valorisation path, solubility[13,105,106]concentration of RM in eluate from new residues to qualify for class DK 0 (inert waste) according to German Landfill Regulation DepV [61]:
non-hazardous material (E1a)
threshold value not exceeded (E3.1a)
threshold value exceeded (E3.2a)
unclarified (E3.3a)
Table A11. Knowledge base on the Bollrich tailings deposit for project definition. The dark grey shaded fields indicate data associated with high uncertainties, while the light grey shaded fields indicate data associated with moderate uncertainties, and the dashes indicate factors for which no information is available.
Table A11. Knowledge base on the Bollrich tailings deposit for project definition. The dark grey shaded fields indicate data associated with high uncertainties, while the light grey shaded fields indicate data associated with moderate uncertainties, and the dashes indicate factors for which no information is available.
Category & FactorDataSourcesUNFC Axis 1
(A) type of studyvery preliminary study-
(B) basic information
(a) geography
(i) locationGoslar district, Lower Saxony (Germany) (51°54′8.97″ N, 10°27′47.31″ E), 270 m above mean sea level nearest human settlement ~400 m E air-line distance downstream of main dam[50]
(ii) topographyat the foot of Harz mountain range, up to 1141 m altitude with deep valleys[107]
(iii) local geologyfolded & faulted Paleozoic rocks of the Harz Mountains are uplifted & thrust over younger Mesozoic rocks of the Harz foreland along the Northern Harz Boundary fault leading to steeply tilting & partly inverted Mesozoic strata; Mesozoic rocks are largely composed of Triassic to Cretaceous sedimentary rocks of varying composition (i.e., mostly impure limestones, clastic sandstones (greywackes) & shales); younger Quaternary sediments are rare & locally limited[108]
(iv) land usein near vicinity: agricultural, forest, industrial & commercial, & recreation & residential areasobserved on Google Earth [50]
(v) surface watersFour small rivers observed downstream of TSF within a 1.5 km radius (Abzucht, Ammentalbach, Gelmke & Oker)observed on Google Earth [50]
(vi) climatemoderately warm, temperature −0.7 to 16.3 °C (average 7.2 °C), average rain precipitation 911 mm/a, average climatic water balance 366 mm/a[109,110]
(b) geogenic deposit
(i) mineralisationtwo strongly deformed lens-shaped main ore bodies (high & low grade), sedimentary exhalative deposit (SedEx), fine grained (10–30 μm) principle sulphide minerals sphalerite ((Zn,Fe)S) & pyrite (FeS2), less amounts of galena (PbS) & chalcopyrite (CuFeS2), Ag, Au, (average estimated grades 14 wt% Zn, 6 wt% Pb, 2 wt% Cu, 140 g/t Ag & 1 g/t Au), barite (BaSO4) (average grade 20 wt%)—additionally ca. 30 trace elements such as Co, Ga, & In, hosted by Middle Devonian Wissenbach shales[50,107,111]
(ii) former miningunderground mine, closed for economic reasons in 1988 after >1000 years of operation, now UNESCO World Heritage site located ~3 km W air-line distance from second processing plant Bollrich & TSF[50,107,111]
(c) tailings deposit
(i) data collection methodsscientific publications or publicly accessible data, assumptions based on scientific publications, &/or own reasoning-
(ii) historywas in operation for ~49 years, decommissioned in 1987; supplied by processing plants Rammelsberg (into upper pond, 1938–1987) & Bollrich (into lower pond, 1956–1987); course of river Gelmke was changed several times[53,57,107]
(iii) recoverability
  • target minerals
previously & non-previously mined minerals-G
  • quantity & quality
Vtailings = 2,030,000 m3, mdry = 7,100,000 t, ρ = 3.5 t/m3 (weighted mean value), ρneutralisation sludge = 2.3 t/m3[53,54]
exploration of deposit: (i) 10 drill cores (17–28 m) taken in upper pond along main dam & parallel to main dam in the middle of the pond, analysis of 16 elements; (ii) 90 water depth metering points[53]G
26 drill cores taken in upper & lower ponds, analysis of 4 elements & 3 minerals[54]
low degree of alteration associated with oxidation[53]
  • TSF structure
valley impoundment, estimated surface area 315,000 m3
consists of 3 ponds: (i) lower pond (west, 74 vol% of TSF, ρ = 3.0 t/m3, max. water depth 4 m, average water depth 2 m), (ii) upper pond (middle, 26 vol% of TSF, ρ = 3.7 t/m3, max. water depth 0.5 m, average water depth 0.4 m), (iii) water retention pond (East)
consists of 3 dams: (i) main dam (max. 33 m height, max. 18° slope, raised 6 times, up-stream), (ii) middle dam (max. 19 m height), (iii) water retention dam (max. 8 m height)
[53,66], Ruler Tool [50], average water depth estimated with data from Reference [53]F
  • homogeneity
drill core data of upper pond shows relatively homogeneous deposit with slightly increasing Ba grades with depth; deposit modelled based on historical & current terrain models, water depth measurements, historical & current core data; validation by comparison to production records[53]G, F
  • safety considerations
dam stability: occurrence of sinkhole at northern part of TSF documented in 1986 & several sinkholes near TSF reported in the past, which are associated with karstified geological structures nearby; expertise from 1986 concludes that TSF is not imminently threatened; confirmed by current calculations; unexploded ordnance: existence of WWII 2 ordnance cannot be excluded based on historical data so it needs to be investigated prior to mining[53]F
(iv) rehabilitationnot rehabilitated, left to ecological succession, no signs of AMD 3 or erosion observable[53], observed on Google Earth [50]
(v) assessment status
  • maturity level
research work-
  • characterisation
complete for lower pond[53]
partial for upper pond; not all elements/minerals analysed; amount, composition, & shape of deposition of mine water neutralisation sludge in upper & lower pond roughly estimated
  • evaluation
partial-
  • classification
prospective project (E3F3G4)[43]
(vi) economics
  • RM criticality
BaSO4, Co, Ga, & In are CRMs in EU with very high economic importance; Cu, Pb, & Zn have high economic importance in EU[112]E a
  • further valorisation
industrial & metalliferous minerals of interest, use of residues in construction materials conceivable-E a
(vii) social impacts
  • health protection
no apparent imminent hazards known; negative impacts through dermal contact, ingestion or inhalation not given; risk assessment not performed[53]E c
  • scientific interest
first scientific exploration shortly in 1983 before TSF abandonment in 1988; one recent research project (REWITA) with focus on mineral RMs recovery (2015–2018); proposal for follow-up project (REMINTA) on material extraction submitted[53,54], www.cutec.de/fileadmin/Cutec/documents/cutec-news/2020/new58_dezember2020.pdf (accessed on 24 February 2021)E c
  • SLO 4
positive perception of project idea by administrative bodies, environmental NGOs, & scientists[52]E c
local population’s perception of project idea unknown-
(viii) environmental impacts
  • pollution
possible negative impacts unknown; disused landfill “Paradiesgrund” located 250 m N air-line distance from TSF; possible influence on landfill when mining the TSF needs to be investigated[53]E b
TSF’s base not sealed & in direct contact with tailings
  • landscape
integrated into landscape (visible only from up close or from hills); environment has been adapting through natural succession; active gilder airfield ~100 m N air-line distance from TSF; hiking trails next to TSF & biking Euroroute R1 near TSFcf., Figure 2E b
  • current status
on-site inspection of the TSF showed that rare flora, & aerial & soil fauna colonise the site[53]E b
  • protected areas
conservation areas & protected landscapes nearby, protected species of flora & fauna sighted in area around TSF[53]E b
  • secondary use
since 1966, neutralised mine water from the Rammelsberg mine has been discharged into the TSF (mainly upper pond, currently ~450,000 to 900,000 m3/a); overlay of tailings and neutralisation sludge[54]E b
(d) technology
(i) mine planningmine planning considerations on conceptual basis (dredging)-F
(ii) processingextraction of BaSO4, Co, Cu, Ga, In, Pb, Zn, & inert residues evaluated in discontinuous laboratory experiments on tailings from lower
pond, processing sequences: (i) sulphide separation together with contaminants (rougher+cleaner+leaching), (ii) BaSO4 separation (rougher+cleaner+scavenger+conditioning);
recovery rates (tested on material from lower pond; ammonia leaching route for sulphides): BaSO4 (74%), Co (12%), Cu (74%), Ga (2%), In (26%), Pb (65%), Zn (72%) & inert material (93%)
processing tests on tailings from upper pond not performed; precipitation of SO4 ions in multiple stages necessary to recover metals
[60]F
(e) infrastructure
(i) real estatebuildings & land from former processing available[53]F
(ii) mining & processingformer processing plant available ~550 m E air-line distance from TSF[53]
(iii) utilitiesaccess to public electricity, gas, & water grid assumedbased on observation on Google Earth [50]F
(iv) transportation & accessdirt roads, federal highway B6 ~1.6 km N air-line distance from TSF & public railway ~500 m E air-line distance from TSF; disused railway tracks from processing plant Bollrich to public network (estimated abandonment in 1988)[53], observed on Google Earth [50]F
(f) politics
(i) political willingness--E c
(g) legislation/licensing
(i) ownershipBergbau Goslar GmbH (address: Bergtal 18, 38640 Goslar, Germany)[53]E d
(ii) legal exploration frameworkcurrently supervised under German Federal Mining Act (BBergG)[53]E d
(iii) legal mining framework--E d
(iv) operating license--E d
(v) contracts--E d
(C) mineral- & material-centric information
(a) chemical & mineralogical composition
(i) elementsBa (14.4), Cu (0.15), Fe (12.5), Pb (1.2), Zn (1.3) [mean, wt%]; Ag (-), As (700), Cd (30), Co (185), Ga (23), In (5.9), Tl (70) [mean, μg/g][53]G
(ii) minerals G
  • main mineral groups (& associated elements)
silica-based: Al, Si, K, Ni, Ga
carbonate: Ca, Mn, Fe, (Mg), (Co)
sulphidic: Fe, Co, Cu, Zn, Pb, As, Cd, In, Tl
sulphate: Ba, Ca
[53,54]
  • quantities:
estimated cumulated minerals content (total dry mass/share of tailings’ mass)[53]
  • BaSO4
1,739,000 t/24.5 wt% (monomineralic)
  • CuFeS2
31,000 t/0.44 wt%
  • FeS2
1,086,000 t/15.3 wt% (7.1 wt% Fe in tailings)
  • PbS
85,000 t/1.2 wt%
  • ZnS
149,000 t/2.1 wt%
  • Wissenbach shales
2,350,000 t/33.1 wt%
  • ankerit
1,611,000 t/22.7 wt%
  • main minerals in neutralisation sludge:
masses unknown; high & low concentrations of Zn & BaSO4, respectively[54]
  • carbonate
CaCO3
  • clay minerals
Al2O3
  • zinc hydroxide
Zn(OH)2
  • quartz
SiO2
  • gypsum
CaSO4·2 H2O
(b) physico-chemical properties
  • particle size distribution
tailings: very fine, 90% of particles < 60 μm, predominantly 2–60 μm &
partially >20% below 3 μm, analysed with 4 samples from 2 drill coresneutralisation sludge: very fine, ~80% of particles < 20 μm
[53,54]G
  • geomechanical properties
classified into geomechanical category GK III according to DIN 1054: highly difficult regarding the interaction of structure & subsoil[113]G
  • abrasiveness
expected to be abrasive (30 wt% abrasive material in tailings)[53]G
  • water content
29 wt%, estimated mean water content[53]G
  • toxic elements
no valorisation as soil possible due to heavy metal concentration (As, Cd, Cr, Cu, Hg, Ni, Pb, Tl, & Zn) according to guideline “LAGA TR Boden” (note: tailings are not soil per definition); classified as DK IV hazardous waste according to Landfill Regulation DepV; As, Cd, & Tl mainly associated with sulphides (As mainly with FeS2 & Cd mainly with ZnS)[53,114]G
1 econ.: economic aspects, env.: environmental aspects, soc.: social aspects, leg.: legal aspects. 2 WWII: Word War II. 3 AMD: acid mine drainage. 4 SLO: social license to operate.
Table A12. Basic data for the in-situ rehabilitation scenario NRR0.
Table A12. Basic data for the in-situ rehabilitation scenario NRR0.
ParameterUnitValueSourceRemarks
surface aream2315,000estimated with Google Earth [50]-
duration of closure & leachate phasea5following scenario B in Reference [51] (p. 104)leachate emission constant; influx assumed only to occur in closure phase until in-situ stabilisation is completed & influx of rainwater or groundwater is phase neglected
duration of aftercare phasea30Landfill Ordinance DepV [61]minimum duration according to Landfill Ordinance DepV [61]
average emission of leachatem3/a39,000average water depth for lower & upper ponds calculated based on 82 out of 90 measurements taken from Reference [53]; visible water surface measured with Google Earth [50]based on the assumption of a constant leachate flow & that only the standing water is drained
leachate treatment--assumptionactive on-site treatment unit
Table A13. Economic parameters for closure and aftercare in the in-situ stabilisation and rehabilitation scenario NRR0. A conversion rate GBP-EUR of 0.9 is assumed as per 14 August 2020 [115] and rounded up. From the referenced sources, the maximum values are chosen for a conservative approach.
Table A13. Economic parameters for closure and aftercare in the in-situ stabilisation and rehabilitation scenario NRR0. A conversion rate GBP-EUR of 0.9 is assumed as per 14 August 2020 [115] and rounded up. From the referenced sources, the maximum values are chosen for a conservative approach.
ParameterUnitValueSourceRemarks
In-situ Stabilisation & Surface Sealing
final surface cover including infrastructure€/m2100[51]closure & leachate phase
concrete injection€/m368[69] (p. 77)closure & leachate phase
Leachate treatment
active on-site treatment€/m350[51]closure & leachate phase
Other Costs
maintenance & repair of leachate collection system€/(a m2)0.6[51]closure & leachate phase
monitoring of leachates€/(a m2)0.4[51]closure & leachate phase
monitoring of groundwater€/(a m2)0.3[51]closure & leachate phase
insurances€/(a m2)0.4[51]closure & leachate phase
maintenance of surface sealing€/(a m2)1.0[51]aftercare phase
maintenance of infrastructure€/(a m2)0.6[51]aftercare phase
monitoring of settlement€/(a m2)0.1[51]aftercare phase
monitoring of environment including weather€/(a m2)0.2[51]aftercare phase
aftercare management, reports, & documentation€/(a m2)0.6[51]aftercare phase
Table A14. Fixed economic and technological parameters for the techno-economic assessment of the mineral RMs recovery scenarios CRR1 and ERR2. A conversion rate USD–EUR of 0.85 is assumed as per 4 August 2020 [116].
Table A14. Fixed economic and technological parameters for the techno-economic assessment of the mineral RMs recovery scenarios CRR1 and ERR2. A conversion rate USD–EUR of 0.85 is assumed as per 4 August 2020 [116].
ParameterUnitValueSourceRemarksQty.
CAPEX
Mining
dredger (including cutterhead)1,579,000[117] (p. SU 12), www.cat.com/en_US/products/new/power-systems/marine-power-systems/commercial-propulsion-engines/18493267.html (accessed on 14 March 2021)230 kW ship engine (d) 1, 272 kW cutterhead (d–e) 2, Caterpillar C18 ACERT engine used as reference1
excavator160,000www.cat.com/en_US/products/new/equipment/excavators/medium-excavators/1000032601.html (accessed on 14 March 2021)CAT 320 GC, 1 m3 bucket capacity, (d)1
wheel loader269,000[117] (p. SU 22)157 kW (d), 3.8 m3 bucket capacity1
bulldozer (with ripper)145,000[117] (p. SU 28)-1
dump truck384,000[117] (p. SU 34)6x6 traction, 15 m3 loading capacity, (d)1
rubber boat (incl. engine)4800www.marine-sales.de (accessed on 14 March 2021)transport of crew & light material to dredger, (d)2
twin silo (2 × 810 m3)343,000[117] (p. Misc 92)ensuring continuous processing plant feed & contingency for feed stream disruptions; integrated stirring function assumed to keep tailings suspended1
slurry pump24,000[117] (p. misc 56)41 kW (e) 3, 40 m head @ 90 m3/h, redundant system foreseen6
pipeline€/m1350[118] (p. 42)300 mm nominal diameter, assumed to be suitable for offshore & onshore application; 800 m one-way, redundant system foreseen; water recirculation included267
floating bodies for pipeline8750[118] (p. 46)longest distance to cover from landing site at northern part of middle dam to bottom right corner of lower dam (480 m)40
Processing
processing plant reactivation6,000,000[119] (p. 13)low value is chosen since assets & machinery were assumed to be in place & reusable-
Infrastructure
mine site development (paving roads, reactivating railway, etc.)1,300,000[119] (p. 13)low value chosen due to simple mine plan, good mine site accessibility & available buildings -
reclamation -
removal of assets, surface rehabilitation, & environmental monitoring€/ttailings2[101] (p. 117)mean value assumed due to relatively small reclamation area & off-site residue disposal-
Other Fixed Economic Parameters
discount rate%15[8] (p. 297)low value chosen to reflect very high risk-
contingency factor%30[45] (p. 58)accounts for required non-specified assets-
liquidating value%10[120] (p. 16)applied to assets & machinery under mining to estimate residual value-
mine lifea11estimated with Taylor’s Rule [62] (p. 80)reclamation & asset liquidation only in year 11-
run-of-mine (ROM)t/h170assumption--
working days administrationd/a260assumption--
working days miningd/a260assumption--
working days processingd/a365assumption--
shift system miningshifts/d2assumption8 h per shift-
shift system processingshifts/d3assumption8 h per shift-
working hours administrationh/d8assumption--
working hours miningh/d16assumption--
working hours processingh/d24assumption--
%-NSRCu (Europe)%65[62] (p. 75)percentage of net smelter return for Cu-
%-NSRPb%65[62] (p. 75)percentage of net smelter return for Pb-
%-NSRZn%50[62] (p. 75)percentage of net smelter return for Zn-
Technological Parameters
tailings masst7,100,000[53] (p. AP1/75)low value chosen for conservative approach-
pump headm55[53] (p. AP5/19)--
rBa 4%74[60] (p. 254)--
rCo%12[60] (p. 254)for ammonia leaching path of sulphides-
rCu%74[60] (p. 176)--
rFeS2%87[60] (p. 176)--
rGa%2[60] (p. 254)for ammonia leaching path of sulphides-
rIn%26[60] (p. 254)for ammonia leaching path of sulphides-
rinert material%93[60] (p. 254)--
rPb%68[60] (p. 176)--
rZn%70[60] (p. 176)--
1 (d): diesel engine. 2 (d–e) diesel-electric engine. 3 (e): electric engine. 4 r: recovery rate.
Table A15. Variable economic parameters for the techno-economic assessment of the mineral RMs recovery scenarios CRR1 and ERR2. A conversion rate USD–EUR of 0.85 are assumed as per 4 August 2020 [116]. Data adopted from Reference [117] if not stated otherwise.
Table A15. Variable economic parameters for the techno-economic assessment of the mineral RMs recovery scenarios CRR1 and ERR2. A conversion rate USD–EUR of 0.85 are assumed as per 4 August 2020 [116]. Data adopted from Reference [117] if not stated otherwise.
Machine/ItemEnergy Consumption [ldiesel/h]Energy Consumption [kWelectricity]Maintenance & Overhaul [€/h]Remarks
dredger125-112fuel consumption @ 502 kW approximated based on specification sheet & CAT engine assumed to constantly deliver 502 kW, http://s7d2.scene7.com/is/content/Caterpillar/LEHM0004-00 (accessed on 15 March 2021)
excavator13-13-
wheel loader24-20-
bulldozer (with ripper)21-16-
dump truck15-13-
rubber boat (including engine)2--no data could be retrieved for maintenance & overhaul, negligible due to expected low value
twin silo (2 × 810 m3)--5.8-
slurry pump-413.2-
Table A16. Variable economic parameters for the techno-economic assessment of the mineral RMs recovery scenarios CRR1 and ERR2. A conversion rate USD–EUR of 0.85 is assumed as per 4 August 2020 [116] if not stated otherwise.
Table A16. Variable economic parameters for the techno-economic assessment of the mineral RMs recovery scenarios CRR1 and ERR2. A conversion rate USD–EUR of 0.85 is assumed as per 4 August 2020 [116] if not stated otherwise.
ParameterUnitValueSourceRemarksQty.
OPEX
mining
machine operating costs€/h200derived from Reference [117]overhaul, maintenance, lubricants, & wear-
diesel consumptionl/h202derived from Reference [117]--
electric energy consumptionkW246derived from Reference [117]--
shift supervisor€/(a person)78.4based on Reference [120]including assumed employers’ share of 40%2
machine driver€/(a person)58.8based on Reference [120]including assumed employers’ share of 40%10
metal worker€/(a person)70.0based on Reference [120]including assumed employers’ share of 40%2
processing
processing costs€/tmetal recovered7.2[119]--
machine operating costs€/tmetal recovered10.7[119]electric energy only-
shift supervisor€/(a person)78.4[120]including assumed employers’ share of 40%3
control panel operator€/(a person)58.8[120]including assumed employers’ share of 40%3
machine operator€/(a person)58.8[120]including assumed employers’ share of 40%3
metal worker€/(a person)70.0[120]including assumed employers’ share of 40%3
services & administration
general services€/d5210[119]--
administrative services€/d1310[119]--
RM prices
electricity€/kWhcf., Figure S1raw data from Reference [85]forecast based on yearly average prices in Germany for commercial customers from 2014–2019-
diesel€/lcf., Figure S2raw data from Reference [86]forecast based on yearly average prices in Germany from 1950–2020-
BaSO4€/ttailingscf., Figure S3raw data from References [87,88,89,90]forecast based on yearly BaSO4 prices from 2011–2020 1-
Co€/ttailingscf., Figure S4raw data from References [87,89,90,91,92,93]forecast based on yearly Co prices from 1996–2020 1-
Cu€/ttailingscf., Figure S5raw data from Reference [94]forecast based on monthly Cu prices from November 1999–March 2021 1 & price per tonne tailings estimated after Wellmer et al. [62] (p. 47 ff.)-
Ga€/ttailingscf., Figure S6raw data from References [87,89,90,91,92,93]forecast based on yearly Ga prices from 1999–2020 1-
In€/ttailingscf., Figure S7raw data from References [87,89,90,91,92,93]forecast based on yearly In prices from 1999–2020 1-
Pb€/ttailingscf., Figure S8raw data from Reference [95]forecast based on monthly Pb prices from November 1999–March 2021 1 & price per tonne tailings estimated after Wellmer et al. [62] (p. 74 ff.)-
Zn€/ttailingscf., Figure S9raw data from Reference [96]forecast based on monthly Zn prices from November 1999–March 2021 1 & price per tonne tailings estimated after Wellmer et al. [62] (p. 74 ff.)-
residue sales€/t5.0assumptionintended valorisation as filler in construction materials; reference value for high-quality sand in Goslar is EUR 19.5 (www.recyclingpark.de/startseite.html, accessed on 2 June 2021); lower price assumed to estimate conservatively due to lack of information on effort to condition residues-
residue disposal€/t40.0[53] (p. AP7-9/58)high value chosen to estimate conservatively-
1 under consideration of monthly/yearly USD–EUR conversion rates.
Figure A1. Detailed production breakdown of 10-year material flows for the RMs recovery scenarios (CRR1, ERR2).
Figure A1. Detailed production breakdown of 10-year material flows for the RMs recovery scenarios (CRR1, ERR2).
Resources 10 00110 g0a1
Figure A2. Results of the sensitivity analysis of the conventional mineral RMs recovery scenario (CRR1m) with mean price forecast and a discount rate of 15%.
Figure A2. Results of the sensitivity analysis of the conventional mineral RMs recovery scenario (CRR1m) with mean price forecast and a discount rate of 15%.
Resources 10 00110 g0a2
Figure A3. Results of the sensitivity analysis of the enhanced mineral RMs recovery scenario (ERR2m) with mean price forecast and a discount rate of 15%.
Figure A3. Results of the sensitivity analysis of the enhanced mineral RMs recovery scenario (ERR2m) with mean price forecast and a discount rate of 15%.
Resources 10 00110 g0a3
Table A17. Overall project rating with the UNFC-compliant categorisation matrix of the degree of confidence in the geological estimates (G).
Table A17. Overall project rating with the UNFC-compliant categorisation matrix of the degree of confidence in the geological estimates (G).
FactorIndicatorUNFC RatingJustificationSource
Geological conditions (relevant for project development)
(1) quantitydegree of geological certainty:
mediumG2NRR0, CRR1, & ERR2: deposit modelled based on direct data on 10 drill cores from lower pond, and pre-processed historical data on 14 & 12 drill cores from lower & upper pond, respectively. Model was validated with historical production data. Extension & volume of TSF known with medium confidence. Overall knowledge on mineral quantity with medium confidence in both ponds. Knowledge gap on quantity of neutralisation sludge & other dumped material.[53]
(2) qualitydegree of geological certainty:
mediumG2NRR0, CRR1, & ERR2: physico-chemical properties known with medium confidence.[53]
(3) homogeneitydegree of geological certainty:
mediumG2NRR0, CRR1, & ERR2: mineral distribution in lower pond known with medium confidence. Knowledge gap on distribution of tailings & neutralisation sludge in both ponds.[53,54]
Table A18. Overall project rating with the UNFC-compliant categorisation matrix for the technical feasibility (F).
Table A18. Overall project rating with the UNFC-compliant categorisation matrix for the technical feasibility (F).
FactorIndicatorUNFC RatingJustificationSource
TSF condition & risks (relevant for project development)
(4) ordnancedegree of knowledge:
unclarifiedF3NRR0, CRR1, & ERR2: existence cannot be excluded based on historical data.
Requires clarification.
[53]
Mine planning considerations (relevant for project execution)
(5) mine/operational designlevel of detail of planning:
basicF3NRR0, CRR1, & ERR2: conceptual planning.-
(6) metallurgical testworkdegree of research on mineral processing:
--NRR0: factor not applicable.-
laboratory scaleF3CRR1 & ERR2: extraction of BaSO4, Co, Cu, Ga, In, Pb, Zn, & inert material (Wissenbach shales, ankerit) evaluated in discontinuous laboratory experiments on tailings from lower pond.[60]
(7) water consumptionpercentage of recycled water:
high (>80%)F1CRR1 & ERR2: water recirculated in dredging operation. Processing water can be recirculated, too.[53]
unclarifiedF3NRR0: unclear if TSF water can be used for making concrete.-
Infrastructure (relevant for project development)
(8) real estatecondition of infrastructure:
highly developedF1NRR0, CRR1, & ERR2: buildings & land from former processing available.[53]
(9) mining & processingcondition of equipment:
--NRR0: not applicable since specialised non-mining equipment is required.-
bleakF3CRR1 & ERR2: unclarified.-
(10) utilitiescondition of infrastructure:
acceptableF2NRR0, CRR1, & ERR2: access to public electricity, gas, & water grid assumed.based on observation on Google Earth [50]
(11) transportation & accesscondition of infrastructure:
acceptableF2NRR0, CRR1, & ERR2: dirt roads, federal highway B6 ~1.6 km N air-line distance from TSF & public railway ~500 m E air-line distance from TSF, disused railway tracks from processing plant Bollrich to public network (estimated abandonment in 1988).[53], observed on Google Earth [50]
Post-mining state (relevant for future impacts)
(12) residue storage safetysuitability of new disposal site for safe storage:
unclarifiedF3NRR0: predicting long-term stability might be difficult.
CRR1 & ERR2: new disposal site unknown.
[69]
(13) rehabilitationlevel of detail of planning:
conceptualF2NRR0, CRR1, & ERR2: conceptual planning.-
Table A19. Overall project rating with the UNFC-compliant categorisation matrix of the economic viability (E a).
Table A19. Overall project rating with the UNFC-compliant categorisation matrix of the economic viability (E a).
FactorIndicatorUNFC RatingJustificationSource
Microeconomic aspects (relevant for project development)
(14) economic viabilitydiscounted cash flow over projected LOM:
positive (NPV >> 0€)E3.1aCRR1m & ERR2m: NPVs of EUR 73 mio. & EUR 172 mio., respectively, with mean price forecast.-
negative (NPV << 0€)E3.3aNRR0: costs of EUR 125 mio. incurred.-
(15) economic uncertaintyuncertainty of cash flow in pessimistic scenario:
--NRR0: no forecast performed.-
low (NPV in pessimistic scenario >> 0€)E3.1aERR2p: NPV = EUR 73 mio. -
high (NPV in pessimistic scenario << 0€)E3.3aCRR1p: NPV = EUR −17 mio. -
Financial aspects (relevant for project development)
(16) investment conditionscountry rank in the ease-of-doing-business Index.
--NRR0: not applicable since company works on assignment basis.-
high (<75)E3.1aCRR1 & ERR2: country rank 22 (Germany). Good investment conditions assumed.[121]
(17) financial supportprobability of approval:
highE3.1aCRR1 & ERR2: research on TSF was funded publicly & positive results give rise to the assumption that follow-up project proposal REWIMET might be accepted.-
no financial support scheme availableE3.3aNRR0: no financial support scheme known at the moment.-
Table A20. Overall project rating with the UNFC-compliant categorisation matrix for the environmental viability (E b).
Table A20. Overall project rating with the UNFC-compliant categorisation matrix for the environmental viability (E b).
FactorIndicatorUNFC RatingJustificationSource
Environmental impacts during project execution
(18) air emissionrisk of dust emission:
unclarifiedE3.3bNRR0: unclarified if TSF needs to be drained prior to concrete injection, which could lead to wind erosion of the tailings.-
high (>80%)E3.1bCRR1 & ERR2: complete submersion of tailings in dredging operation.-
(19) liquid effluent emissionrisk of groundwater contamination:
lowE3.1bNRR0, CRR1, & ERR2: status quo is expected to be retained.-
(20) noise emissionexpected degree of impact:
mediumE3.2bNRR0, CRR1, & ERR2: constant noise emission from TSF in 2 working shifts from Mondays to Fridays. Noise is expected to be audible, especially in the surrounding mountain area & areas on the same plane. It is possible that the noise would not be audible in residential areas to topography.
CRR1 & ERR2: the processing plant is to be soundproofed.
based on observation on Google Earth [50]
Environmental impacts after projection execution
(21) biodiversitytotal number of protected species that are affected by mining activities & that will be resettled on post-mining land:
none (0%)E3bNRR0, CRR1, & ERR2: protected flora & fauna species were sighted during an on-site inspection. Capturing the exact types & number of species is required for planning a resettlement or other compensation measures.[53]
(22) land usefreely available post-mining land:
some (50–80%)E3.2bNRR0: surface area of current wet cover is made available for reuse.
CRR1 & ERR2: original topography is restored.
NRR0, CRR1, & ERR2: it is expected that a solution for the collection & further treatment of the neutralisation sludge requires a permanent land use.
-
(23) material reactivityreduction in reactive material’s mass:
high (>80%)E3.1bCRR1: 84 wt% of sulphides leave the system boundaries as commodities. ERR2: all tailings are valorised.-
low (<50%)E3.3bNRR0: factually, reactive materials remain in place. Long-term stability difficult to predict.[69]
Table A21. Overall project rating with the UNFC-compliant categorisation matrix for the social viability (E c).
Table A21. Overall project rating with the UNFC-compliant categorisation matrix for the social viability (E c).
FactorIndicatorUNFC RatingJustificationSource
Social impacts during project execution
(24) local communityprobability of approval through active commitment:
medium (50–80%)E3.2cCRR1 & ERR2: first indication of positive prospects by stakeholder assessment (local government, industry, university, & environmental NGOs). Local population’s opinion unknown.[52]
unclarifiedE3.3cNRR0: no data available.-
(25) health & safetytotal number of complaints or prosecutions for non-compliance in planning phase:
noneE3.3cNRR0, CRR1, & ERR2: plans have not been communicated publicly.-
(26) human rights & business ethicstotal number of complaints or prosecutions for non-compliance in planning phase:
noneE3.3cNRR0, CRR1, & ERR2: plans have not been communicated publicly.-
Social impacts due to project execution
(27) wealth distributiontotal number of complaints or prosecutions for non-compliance in planning phase:
noneE3.3cNRR0, CRR1, & ERR2: plans have not been communicated publicly.-
(28) investment in local human capitalpercentage of employees sourced from local communities:
unclarifiedE3.3cNRR0: it can be expected that an external contractor must be hired due to the special character of the required services. Aftercare measures could be carried out by local workers. CRR1 & ERR2: unclarified how many local workers could be employed.-
(29) degree of RM recoveryresidue disposal:
complete residue valorisationE1cERR2: no loss since all tailings are valorised.-
mixed disposalE3.2cCRR1: it is assumed that the site for the disposal of new residues has no option to store different residues separately.-
sterilisationE3.3cNRR0: access to RM potential for future generations with reasonable effort prevented.-
(30) RM valorisationtotal mass reduction as percentage of original tailings mass:
high (>80%)E3.1cERR2: all tailings are valorised.-
low (<50%)E3.3cNRR0: no valorisation takes place. CRR1: 38 wt% of tailings are valorised.-
Social impacts after project execution
(31) aftercareduration of aftercare measures:
short-term (up to 5 years)E1cCRR1 & ERR2: aftercare assumed to be complete after 1 year-
long-term (more than 30 years)E3cNRR0: long-term behaviour difficult to predict & long-term monitoring might be necessary.[69]
(32) landscapeimpact on the environment:
non-perceptible
partially perceptible
E1cCRR1 & ERR2: former topography is restored.-
E2cNRR0: is expected to be well integrated into landscape with an according surface design. Main dam remains perceptible.-
Table A22. Overall project rating with the UNFC-compliant categorisation matrix for the legal viability (E d).
Table A22. Overall project rating with the UNFC-compliant categorisation matrix for the legal viability (E d).
FactorIndicatorUNFC RatingJustificationSource
Legal situation (relevant for project development)
(33) right of miningstate of development:
application not begun or unclarifiedE3.3dNRR0, CRR1, & ERR2: no concrete activities initiated.-
(34) environmental protectionstate of development:
application not begun or unclarifiedE3.3dNRR0, CRR1, & ERR2: no concrete activities initiated.-
(35) water protectionstate of development:
application not begun or unclarifiedE3.3dNRR0, CRR1, & ERR2: no concrete activities initiated.-
Table A23. Rating of individual RMs with the UNFC-compliant categorisation matrix for the degree of confidence in the geological estimates (G).
Table A23. Rating of individual RMs with the UNFC-compliant categorisation matrix for the degree of confidence in the geological estimates (G).
FactorIndicatorUNFC RatingJustificationSource
Geological conditions (relevant for project development)
(36) quantitydegree of geological certainty:
mediumG2CRR1 & ERR2: knowledge on BaSO4, Cu, FeS2, Pb, Zn, & inert material (Wissenbach shales, ankerit) with medium confidence in both ponds.[53,54]
lowG3CRR1 & ERR2: knowledge on Co, Ga, & In with medium confidence in lower pond. Co, Ga, & In quantity in upper pond inferred.[53]
(37) qualitydegree of geological certainty:
mediumG2CRR1 & ERR2: knowledge on BaSO4, Cu, FeS2, Pb, Zn, & inert material (Wissenbach shales, ankerit) with medium confidence in both ponds.[53,54]
lowG3CRR1 & ERR2: knowledge on Co, Ga, & In with medium confidence in lower pond. Co, Ga, & In quantity in upper pond inferred.[53]
(38) homogeneitydegree of geological certainty:
mediumG2CRR1 & ERR2: knowledge on the distribution of BaSO4, Cu, FeS2, Pb, Zn, & inert material (Wissenbach shales, ankerit) with medium confidence.[53,54]
lowG3CRR1 & ERR2: knowledge on the distribution of Co, Ga, & In with medium confidence in lower pond. Knowledge on Co, Ga, & In in upper pond inferred.[53]
Table A24. Rating of individual RMs with the UNFC-compliant categorisation matrix for the technical feasibility (F).
Table A24. Rating of individual RMs with the UNFC-compliant categorisation matrix for the technical feasibility (F).
FactorIndicatorUNFC RatingJustificationSource
Mine planning considerations (relevant for project execution)
(39) recoverabilitypercentage of RM which is extracted from the tailings:
high (>80%)F1CRR1 & ERR2: FeS2 (87 wt% recovered in mixed sulphide concentrate), inert material (Wissenbach shales, ankerit) (93 wt% are recovered with the new residues).[60]
medium (50–80%)F2CRR1 & ERR2: BaSO4 (74 wt%), Cu (74 wt%), Pb (68 wt%), Zn (70 wt%).[60]
low (>50%)F3CRR1, ERR2: Co (12 wt%), Ga (2 wt%), In (26 wt%).[60]
Table A25. Rating of individual RMs with the UNFC-compliant categorisation matrix for the economic viability (E a).
Table A25. Rating of individual RMs with the UNFC-compliant categorisation matrix for the economic viability (E a).
FactorIndicatorUNFC RatingJustificationSource
Microeconomic aspects (relevant for project development)
(40) demandfavourable conditions for RM extraction:
yesE3.1aCRR1 & ERR2: there is a demand for BaSO4, Cu, Pb, Zn, Co, Ga, & In[122]
conditionallyE3.2aCRR1 & ERR2: Fe & H2SO4 could theoretically be produced from CuFeS2 & FeS2.[123]
noE3.3aCRR1 & ERR2: residues theoretically usable in construction materials, but experiments are necessary. Currently, there is per se not a demand for residues so that a potential application of the inert fraction (Wissenbach shales, ankerit) of the new residues needs to be clarified.-
(41) RM criticalityallocation to EC’s criticality assessment:
CRME1aCRR1 & ERR2: BaSO4, Co, Ga, & In.[112]
high economic importance or supply riskE2aCRR1 & ERR2: Cu, Pb, S (from CuFeS2 & FeS2), & Zn.[112]
no criticalityE3aCRR1 & ERR2: inert material (Wissenbach shales, ankerit).
(42) price developmentforecasted mean price development over the project’s duration:
--CRR1 & ERR2: FeS2 is recovered as a non-paid co-product, & no price forecast was performed for the inert material (Wissenbach shales, ankerit).-
positive trendE3.1aCRR1 & ERR2: BaSO4, Co, In.Figures S3, S4 and S7
stagnant trendE3.2aCRR1 & ERR2: Pb, Zn.Figures S8 and S9
negative trendE3.3aCRR1 & ERR2: Cu, Ga.Figures S5 and S6
Table A26. Rating of individual RMs with the UNFC-compliant categorisation matrix for the environmental viability (E b).
Table A26. Rating of individual RMs with the UNFC-compliant categorisation matrix for the environmental viability (E b).
FactorIndicatorUNFC RatingJustificationSource
Impacts after project execution
(43) solid matterconcentration of RM solid matter in new residues to qualify for class DK 0 (inert waste) according to German Landfill Regulation DepV [61]:
--NRR0: not applicable since no new residues are produced.
ERR2: not applicable since no new residues are disposed of.
-
non-hazardous materialE1bCRR1 & ERR2: inert material (Wissenbach shales, ankerit).-
threshold value not exceededE3.1bCRR1: Cu, Zn.[60]
threshold value exceededE3.2bCRR1: Pb.[60]
(44) eluateconcentration of RM in eluate from new residues to qualify for class DK 0 (inert waste) according to German Landfill Regulation DepV [61]:
--NRR0: not applicable since no new residues are produced.
ERR2: not applicable since no new residues are disposed of.
-
non-hazardous materialE1bCRR1 & ERR2: inert material (Wissenbach shales, ankerit).-
threshold value not exceededE3.1bCRR1: Ba, Cu, Zn.[60]
threshold value exceededE3.2bCRR1: Pb.[60]

References

  1. Henckens, M.L.C.M.; Driessen, P.P.J.; Worrell, E. Molybdenum resources: Their depletion and safeguarding for future generations. Resour. Conserv. Recycl. 2018, 134, 61–69. [Google Scholar] [CrossRef]
  2. Kleijn, R.; van der Voet, E.; Kramer, G.J.; van Oers, L.; van der Giesen, C. Metal requirements of low-carbon power generation. Energy 2011, 36, 5640–5648. [Google Scholar] [CrossRef]
  3. Maung, K.N.; Hashimoto, S.; Mizukami, M.; Morozumi, M.; Lwin, C.M. Assessment of the Secondary Copper Reserves of Nations. Environ. Sci. Technol. 2017, 51, 3824–3832. [Google Scholar] [CrossRef]
  4. Watari, T.; McLellan, B.C.; Giurco, D.; Dominish, E.; Yamasue, E.; Nansai, K. Total material requirement for the global energy transition to 2050: A focus on transport and electricity. Resour. Conserv. Recycl. 2019, 148, 91–103. [Google Scholar] [CrossRef]
  5. Elshkaki, A.; Graedel, T.E.; Ciacci, L.; Reck, B.K. Resource Demand Scenarios for the Major Metals. Environ. Sci. Technol. 2018, 52, 2491–2497. [Google Scholar] [CrossRef]
  6. Valenta, R.K.; Kemp, D.; Owen, J.R.; Corder, G.D.; Lèbre, É. Re-thinking complex orebodies: Consequences for the future world supply of copper. J. Clean. Prod. 2019, 220, 816–826. [Google Scholar] [CrossRef]
  7. Fellner, J.; Lederer, J.; Scharff, C.; Laner, D. Present Potentials and Limitations of a Circular Economy with Respect to Primary Raw Material Demand. J. Ind. Ecol. 2017, 21, 494–496. [Google Scholar] [CrossRef]
  8. Revuelta, M.B. Mineral Resources; Springer International Publishing: Cham, Germany, 2018; 653p. [Google Scholar]
  9. Schoenberger, E. Environmentally sustainable mining: The case of tailings storage facilities. Resour. Policy 2016, 49, 119–128. [Google Scholar] [CrossRef]
  10. Wei, Z.; Yin, G.; Wang, J.G.; Wan, L.; Li, G. Design, construction and management of tailings storage facilities for surface disposal in China: Case studies of failures. Waste Manag. Res. 2013, 31, 106–112. [Google Scholar] [CrossRef]
  11. Giurco, D.; Cooper, C. Mining and sustainability: Asking the right questions. Miner. Eng. 2012, 29, 3–12. [Google Scholar] [CrossRef] [Green Version]
  12. Franks, D.M.; Boger, D.V.; Côte, C.M.; Mulligan, D.R. Sustainable development principles for the disposal of mining and mineral processing wastes. Resour. Policy 2011, 36, 114–122. [Google Scholar] [CrossRef]
  13. Lottermoser, B. Mine Wastes, 3rd ed.; Springer: Berlin/Heidelberg, Germany, 2010; 400p. [Google Scholar]
  14. Worrall, R.; Neil, D.; Brereton, D.; Mulligan, D. Towards a sustainability criteria and indicators framework for legacy mine land. J. Clean. Prod. 2009, 17, 1426–1434. [Google Scholar] [CrossRef]
  15. Laurence, D. Establishing a sustainable mining operation: An overview. J. Clean. Prod. 2011, 19, 278–284. [Google Scholar] [CrossRef]
  16. Roche, C.; Thygesen, K.; Baker, E. Mine Tailings Storage: Safety Is No Accident: A UNEP Rapid Response Assessment. United Nations Environment Programme and GRID-Arendal, Nairobi and Arendal; 2017; ISBN 978-827-701-170-7. Available online: https://www.grida.no/publications/383 (accessed on 10 January 2020).
  17. Anawar, H.M. Sustainable rehabilitation of mining waste and acid mine drainage using geochemistry, mine type, mineralogy, texture, ore extraction and climate knowledge. J. Environ. Manag. 2015, 158, 111–121. [Google Scholar] [CrossRef]
  18. Luptakova, A.; Ubaldini, S.; Macingova, E.; Fornari, P.; Giuliano, V. Application of physical–chemical and biological–chemical methods for heavy metals removal from acid mine drainage. Process Biochem. 2012, 47, 1633–1639. [Google Scholar] [CrossRef]
  19. Silva Rotta, L.H.; Alcântara, E.; Park, E.; Negri, R.G.; Lin, Y.N.; Bernardo, N.; Mendes, T.S.G.; Souza Filho, C.R. The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil. Int. J. Appl. Earth. Obs. Geoinf. 2020, 90, 102119. [Google Scholar] [CrossRef]
  20. Lyu, Z.; Chai, J.; Xu, Z.; Qin, Y.; Cao, J. A Comprehensive Review on Reasons for Tailings Dam Failures Based on Case History. Adv. Civ. Eng. 2019, 2019, 1–18. [Google Scholar] [CrossRef]
  21. World Information System on Energy Uranium Project (WISE). Chronology of Major Tailings Dam Failures. 2021. Available online: http://www.wise-uranium.org/mdaf.html (accessed on 2 February 2021).
  22. Lèbre, É.; Stringer, M.; Svobodova, K.; Owen, J.R.; Kemp, D.; Côte, C.; Arratia-Solar, A.; Valenta, R.K. The social and environmental complexities of extracting energy transition metals. Nat. Commun. 2020, 11, 4823. [Google Scholar] [CrossRef] [PubMed]
  23. Owen, J.R.; Kemp, D.; Lèbre, É.; Svobodova, K.; Pérez Murillo, G. Catastrophic tailings dam failures and disaster risk disclosure. Int. J. Disaster Risk Reduct. 2020, 42, 101361. [Google Scholar] [CrossRef]
  24. Žibret, G.; Lemiere, B.; Mendez, A.-M.; Cormio, C.; Sinnett, D.; Cleall, P.; Szabó, K.; Carvalho, M.T. National Mineral Waste Databases as an Information Source for Assessing Material Recovery Potential from Mine Waste, Tailings and Metallurgical Waste. Minerals 2020, 10, 446. [Google Scholar] [CrossRef]
  25. European Commission (EC). Towards a Circular Economy: A Zero Waste Programme for Europe: COM(2014) 398 Final. 2014. Available online: https://ec.europa.eu/environment/circular-economy/pdf/circular-economy-communication.pdf (accessed on 4 August 2019).
  26. European Commission (EC). A New Circular Economy Action Plan for a Cleaner and More Competitive Europe. COM(2020) 98 Final. 2020. Available online: https://eur-lex.europa.eu/resource.html?uri=cellar:9903b325-6388-11ea-b735-01aa75ed71a1.0017.02/DOC_1&format=PDF (accessed on 14 January 2021).
  27. Nuss, P.; Blengini, G.A. Towards better monitoring of technology critical elements in Europe: Coupling of natural and anthropogenic cycles. Sci. Total Environ. 2018, 613, 569–578. [Google Scholar] [CrossRef] [PubMed]
  28. Falagán, C.; Grail, B.M.; Johnson, D.B. New approaches for extracting and recovering metals from mine tailings. Miner. Eng. 2017, 106, 71–78. [Google Scholar] [CrossRef]
  29. Kuhn, K.; Meima, J.A. Characterization and Economic Potential of Historic Tailings from Gravity Separation: Implications from a Mine Waste Dump (Pb-Ag) in the Harz Mountains Mining District, Germany. Minerals 2019, 9, 303. [Google Scholar] [CrossRef] [Green Version]
  30. López, F.; García-Díaz, I.; Rodríguez Largo, O.; Polonio, F.; Llorens, T. Recovery and Purification of Tin from Tailings from the Penouta Sn–Ta–Nb Deposit. Minerals 2018, 8, 20. [Google Scholar] [CrossRef] [Green Version]
  31. Niu, H.; Abdulkareem, M.; Sreenivasan, H.; Kantola, A.M.; Havukainen, J.; Horttanainen, M.; Telkki, V.-V.; Kinnunen, P.; Illikainen, M. Recycling mica and carbonate-rich mine tailings in alkali-activated composites: A synergy with metakaolin. Miner. Eng. 2020, 157. [Google Scholar] [CrossRef]
  32. Pashkevich, M.A.; Alekseenko, A.V. Reutilization Prospects of Diamond Clay Tailings at the Lomonosov Mine, Northwestern Russia. Minerals 2020, 10, 517. [Google Scholar] [CrossRef]
  33. Tang, C.; Li, K.; Ni, W.; Fan, D. Recovering Iron from Iron Ore Tailings and Preparing Concrete Composite Admixtures. Minerals 2019, 9, 232. [Google Scholar] [CrossRef] [Green Version]
  34. Alfonso, P.; Tomasa, O.; Garcia-Valles, M.; Tarragó, M.; Martínez, S.; Esteves, H. Potential of tungsten tailings as glass raw materials. Mater. Lett. 2020, 228, 456–458. [Google Scholar] [CrossRef]
  35. Okereafor, U.; Makhatha, M.; Mekuto, L.; Mavumengwana, V. Gold Mine Tailings: A Potential Source of Silica Sand for Glass Making. Minerals 2020, 10, 448. [Google Scholar] [CrossRef]
  36. Zheng, W.; Cao, H.; Zhong, J.; Qian, S.; Peng, Z.; Shen, C. CaO–MgO–Al2O3–SiO2 glass-ceramics from lithium porcelain clay tailings for new building materials. J. Non-Cryst. Solids 2015, 409, 27–33. [Google Scholar] [CrossRef]
  37. Attila Resources. Attila to Acquire the Century zinc Mine. 2017. Available online: https://www.newcenturyresources.com/wp-content/uploads/2018/01/170301-AYA-Acquisition-of-Century-ASX-Ann.pdf (accessed on 22 May 2021).
  38. Campbell, M.D.; Absolon, V.; King, J.; David, C.M. Precious Metal Resources of the Hellyer Mine Tailings; 2015; Available online: http://www.i2massociates.com/downloads/I2MHellyerTailingsResourcesMar9-2015Rev.pdf (accessed on 22 May 2021).
  39. Cronwright, M.; Gasela, I.; Derbyshire, J. Kamativi Lithium Tailings Project; 2018; Available online: http://sectornewswire.com/NI43-101TechnicalReport-Kamativi-Li-Nov-2018.pdf (accessed on 22 May 2021).
  40. Johansson, N.; Krook, J.; Eklund, M.; Berglund, B. An integrated review of concepts and initiatives for mining the technosphere: Towards a new taxonomy. J. Clean. Prod. 2013, 55, 35–44. [Google Scholar] [CrossRef] [Green Version]
  41. Corder, G. Mining and sustainable development. In Mining in the Asia-Pacific; O’Callaghan, T., Graetz, G., Eds.; Springer International Publishing: Cham, Germany, 2017; pp. 253–269. [Google Scholar]
  42. United Nations General Assembly. Transforming Our World: The 2030 Agenda for Sustainable Development (A/RES/70/1). 2015. Available online: https://www.un.org/ga/search/view_doc.asp?symbol=A/RES/70/1&Lang=E (accessed on 16 May 2021).
  43. Suppes, R.; Heuss-Aßbichler, S. How to Identify Potentials and Barriers of Raw Materials Recovery from Tailings? Part I: A UNFC-Compliant Screening Approach for Site Selection. Resources 2021, 10, 26. [Google Scholar] [CrossRef]
  44. United Nations Economic Commission for Europe (UNECE). United Nations Framework Classification for Resources—Update 2019. 2020, p. 20. Available online: https://www.unece.org/fileadmin/DAM/energy/se/pdfs/UNFC/publ/UNFC_ES61_Update_2019.pdf (accessed on 13 November 2020).
  45. Committee for Mineral Reserves International Reporting Standards (CRIRSCO). International Reporting Template for the Public Reporting of Exploration Results, Mineral Resources and Mineral Reserves. 2019. Available online: http://www.crirsco.com/templates/CRIRSCO_International_Reporting_Template_November_2019.pdf (accessed on 9 June 2020).
  46. Winterstetter, A.; Heuss-Assbichler, S.; Stegemann, J.; Kral, U.; Wäger, P.; Osmani, M.; Rechberger, H. The role of anthropogenic resource classification in supporting the transition to a circular economy. J. Clean. Prod. 2021, 297, 126753. [Google Scholar] [CrossRef]
  47. Heuss-Aßbichler, S.; Kral, U.; Løvik, A.; Mueller, S.; Simoni, M.; Stegemann, J.; Wäger, P.; Horváth, Z.; Winterstetter, A. Strategic Roadmap on Sustainable Management of Anthropogenic Resources. 2020. Available online: https://zenodo.org/record/3739269#.X6WBG1Bo3b1 (accessed on 6 November 2020).
  48. Lederer, J.; Kleemann, F.; Ossberger, M.; Rechberger, H.; Fellner, J. Prospecting and Exploring Anthropogenic Resource Deposits: The Case Study of Vienna’s Subway Network. J. Ind. Ecol. 2016, 20, 1320–1333. [Google Scholar] [CrossRef]
  49. Suppes, R.; Heuss-Aßbichler, S. Resource potential of mine wastes: A conventional and sustainable perspective on a case study tailings mining project. J. Clean. Prod. 2021, 126446. [Google Scholar] [CrossRef]
  50. Google Earth. Available online: https://www.google.com/earth/ (accessed on 6 July 2021).
  51. Stegmann, R.; Heyer, K.-U.; Hupe, K. Landfill Aftercare—Options for Action, Duration, Costs and Quantitative Criteria for the Discharge from Aftercare; Hamburg (Germany). 2006. Available online: http://www.ifas-hamburg.de/PDF/UFOPLAN_IFAS.pdf (accessed on 29 July 2020). (In German).
  52. Bleicher, A.; David, M.; Rutjes, H. When environmental legacy becomes a resource: On the making of secondary resources. Geoforum 2019, 101, 18–27. [Google Scholar] [CrossRef]
  53. Goldmann, D.; Zeller, T.; Niewisch, T.; Klesse, L.; Kammer, U.; Poggendorf, C.; Stöbich, J. Recycling of Mine Processing Wastes for the Extraction of Economically Strategic Metals Using the Example of Tailings at the Bollrich in Goslar (REWITA): Final Report; TU Clausthal: Clausthal-Zellerfeld, Germany, 2019; Available online: https://www.tib.eu/de/suchen/id/TIBKAT:1688127496/ (accessed on 22 July 2020). (In German)
  54. Woltemate, I. Assessment of the Geochemical and Sedimentpetrographic Significance of Drilling Samples from Flotation Tailings in Two Tailing Ponds of the Rammelsberg Ore Mine. Ph.D. Thesis, University of Hanover, Hanover, Germany, 5 November 1987. (In German). [Google Scholar]
  55. Brunner, P.H.; Rechberger, H. Practical Handbook of Material Flow Analysis; Lewis Publishers: Boca Raton, FL, USA, 2004; 318p. [Google Scholar]
  56. Zhou, X.; Lin, H. Sensitivity analysis. In Encyclopedia of GIS; Shekhar, S., Xiong, H., Zhou, X., Eds.; Springer International Publishing: Cham, Germany, 2017; pp. 1884–1887. [Google Scholar]
  57. Eichhorn, P. Ore Processing Rammelsberg—Origin, Operation, Comparison; Goslar (Germany); 2012; Available online: https://docplayer.org/16359673-Erzaufbereitung-rammelsberg.html (accessed on 30 August 2020). (In German)
  58. European Commission. Communication on the 2017 list of Critical Raw Materials for the EU. COM (2017) 490 final. 2017. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52017DC0490&from=EN (accessed on 14 August 2019).
  59. European Commission (EC). Critical Raw Materials Resilience: Charting a Path towards Greater Security and Sustainability. COM (2020) 474 final. 2020. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52020DC0474&from=EN (accessed on 21 December 2020).
  60. Roemer, F. Investigations into the Processing of Deposited Flotation Residues at the Bollrich Tailings Pond with Special Regard to the Extraction of Raw Materials of Strategic Economic Importance. Ph.D. Thesis, Technical University of Clausthal, Clausthal-Zellerfeld, Germany, 4 February 2020. (In German). [Google Scholar]
  61. German Federal Ministry of Justice and Consumer Protection. Ordinance on Landfills and Long-Term Storage Facilities (Landfill Ordinance—DepV)—Landfill ordinance of 27 April 2009 (BGBl. I p. 900), last amended by Article 2 of the ordinance of 30 June 2020 (BGBl. I p. 1533). 2009. Available online: https://www.gesetze-im-internet.de/depv_2009/DepV.pdf (accessed on 11 April 2021). (In German).
  62. Wellmer, F.-W.; Dalheimer, M.; Wagner, M. Economic Evaluations in Exploration, 2nd ed.; Springer: Berlin, Germany, 2008. [Google Scholar]
  63. Federal Office of Justice. Federal Soil Protection and Contaminated Sites Ordinance (BBodSchV). 1999. Available online: https://www.gesetze-im-internet.de/bbodschv/anhang_2.html (accessed on 4 April 2021). (In German).
  64. District of Goslar|Environmental Service. Map of contaminated Ground. 2020. Available online: https://www.landkreis-goslar.de/index.phtml?mNavID=1749.35&sNavID=1749.35&La=1 (accessed on 30 September 2020). (In German).
  65. Ackers, W.; Pechmann, S. Integrated Urban Development Concept Goslar 2025. Goslar (Germany). 2011. Available online: https://www.goslar.de/stadt-buerger/stadtentwicklung/isek-2025 (accessed on 28 July 2020). (In German).
  66. Gesellschaft für Grundbau und Umwelttechnik mbH (GGU). Gelmke Dam Safety Report; Braunschweig, Germany, Unpublished material; 2003. (In German) [Google Scholar]
  67. Poggendorf, C.; Rüpke, A.; Gock, E.; Saheli, H.; Kuhn, K.; Martin, T. Utilisation of the Raw Material Potential of Mining and Metallurgical Dumps Using the Example of the Western Harz Region. 2015, p. 22. Available online: https://www.researchgate.net/profile/Tina_Martin5/publication/303941732_Nutzung_des_Rohstoffpotentials_von_Bergbau-_und_Huttenhalden_am_Beispiel_des_Westharzes/links/575fbf8d08aed884621bbfa3/Nutzung-des-Rohstoffpotentials-von-Bergbau-und-Huettenhalden-am-Beispiel-des-Westharzes.pdf (accessed on 13 November 2020). (In German).
  68. Expert Group on Resource Management (EGRM). United Nations Framework Classification for Resources—Draft Update Version 2019 EGRM-10/2019/INF.2. 2019. Available online: https://www.unece.org/fileadmin/DAM/energy/se/pdfs/egrm/egrm10_apr2019/UNFC_Update_2019_2.1_clean_rev.pdf (accessed on 1 June 2020).
  69. CL:AIRE Technology and Research Group. Contaminated Land Remediation; 2010; Available online: https://www.claire.co.uk/ (accessed on 14 August 2020).
  70. European Commission (EC). Critical Raw Materials for Strategic Technologies and Sectors in the EU—A Foresight Study; European Union: Luxembourg, 2020; 100p. [Google Scholar]
  71. Krzemień, A.; Riesgo Fernández, P.; Suárez Sánchez, A.; Diego Álvarez, I. Beyond the pan-european standard for reporting of exploration results, mineral resources and reserves. Resour. Policy 2016, 49, 81–91. [Google Scholar] [CrossRef]
  72. Norgate, T.; Haque, N. Energy and greenhouse gas impacts of mining and mineral processing operations. J. Clean. Prod. 2010, 18, 266–274. [Google Scholar] [CrossRef]
  73. Bouchard, J.; Sbarbaro, D.; Desbiens, A. Plant automation for energy-efficient mineral processing. In Energy Efficiency in the Minerals Industry; Awuah-Offei, K., Ed.; Springer International Publishing: Cham, Germany, 2018; pp. 233–250. [Google Scholar]
  74. Soofastaei, A.; Karimpour, E.; Knights, P.; Kizil, M. Energy-efficient loading and hauling operations. In Energy Efficiency in the Minerals Industry; Awuah-Offei, K., Ed.; Springer International Publishing: Cham, Germany, 2018; pp. 121–146. [Google Scholar]
  75. Sözen, S.; Orhon, D.; Dinçer, H.; Ateşok, G.; Baştürkçü, H.; Yalçın, T.; Öznesil, H.; Karaca, C.; Allı, B.; Dulkadiroğlu, H.; et al. Resource recovery as a sustainable perspective for the remediation of mining wastes: Rehabilitation of the CMC mining waste site in Northern Cyprus. Bull. Eng. Geol. Environ. 2017, 76, 1535–1547. [Google Scholar] [CrossRef]
  76. Esteves, A.M. Mining and social development: Refocusing community investment using multi-criteria decision analysis. Resour. Policy 2008, 33, 39–47. [Google Scholar] [CrossRef]
  77. Moomen, A.-W.; Lacroix, P.; Bertolotto, M.; Jensen, D. The Drive towards Consensual Perspectives for Enhancing Sustainable Mining. Resources 2020, 9, 147. [Google Scholar] [CrossRef]
  78. Huber, F.; Fellner, J. Integration of life cycle assessment with monetary valuation for resource classification: The case of municipal solid waste incineration fly ash. Resour. Conserv. Recycl. 2018, 139, 17–26. [Google Scholar] [CrossRef]
  79. Pell, R.; Tijsseling, L.; Palmer, L.W.; Glass, H.J.; Yan, X.; Wall, F.; Zeng, X.; Li, J. Environmental optimisation of mine scheduling through life cycle assessment integration. Resour. Conserv. Recycl. 2019, 142, 267–276. [Google Scholar] [CrossRef]
  80. Reid, C.; Bécaert, V.; Aubertin, M.; Rosenbaum, R.K.; Deschênes, L. Life cycle assessment of mine tailings management in Canada. J. Clean. Prod. 2009, 17, 471–479. [Google Scholar] [CrossRef]
  81. Durucan, S.; Korre, A.; Munoz-Melendez, G. Mining life cycle modelling: A cradle-to-gate approach to environmental management in the minerals industry. J. Clean. Prod. 2006, 14, 1057–1070. [Google Scholar] [CrossRef]
  82. Figueiredo, J.; Vila, M.C.; Góis, J.; Biju, B.P.; Futuro, A.; Martins, D.; Dinis, M.L.; Fiúza, A. Bi-level depth assessment of an abandoned tailings dam aiming its reprocessing for recovery of valuable metals. Miner. Eng. 2019, 133, 1–9. [Google Scholar] [CrossRef]
  83. Wang, A.; Liu, H.; Hao, X.; Wang, Y.; Liu, X.; Li, Z. Geopolymer Synthesis Using Garnet Tailings from Molybdenum Mines. Minerals 2019, 9, 12. [Google Scholar] [CrossRef] [Green Version]
  84. Ahmari, S.; Zhang, L. Production of eco-friendly bricks from copper mine tailings through geopolymerization. Constr. Build. Mater. 2012, 29, 323–331. [Google Scholar] [CrossRef]
  85. Statista. Electricity Prices for Commercial and Industrial Customers in Germany from 2010 to 2020. 2020. Available online: https://de.statista.com/statistik/daten/studie/154902/umfrage/strompreise-fuer-industrie-und-gewerbe-seit-2006/ (accessed on 20 December 2020).
  86. Statista. Average Price of Diesel Fuel in Germany from 1950 to 2020. 2020. Available online: https://de.statista.com/statistik/daten/studie/779/umfrage/durchschnittspreis-fuer-dieselkraftstoff-seit-dem-jahr-1950/ (accessed on 20 December 2020).
  87. U.S. Geological Survey (USGS). Mineral. Commodity Summaries 2020. 2020. Available online: https://pubs.usgs.gov/periodicals/mcs2020/mcs2020.pdf (accessed on 6 March 2021).
  88. U.S. Geological Survey (USGS). Mineral. Commodity Summaries 2019. 2019. Available online: https://prd-wret.s3-us-west-2.amazonaws.com/assets/palladium/production/atoms/files/mcs2019_all.pdf (accessed on 6 March 2021).
  89. U.S. Geological Survey (USGS). Mineral. Commodity Summaries 2016. 2016. Available online: https://s3-us-west-2.amazonaws.com/prd-wret/assets/palladium/production/mineral-pubs/mcs/mcs2016.pdf (accessed on 6 March 2021).
  90. U.S. Geological Survey (USGS). Mineral. Commodity Summaries 2021. 2021. Available online: https://pubs.usgs.gov/periodicals/mcs2021/mcs2021.pdf (accessed on 6 March 2021).
  91. U.S. Geological Survey (USGS). Mineral. Commodity Summaries 2012. 2012. Available online: https://s3-us-west-2.amazonaws.com/prd-wret/assets/palladium/production/mineral-pubs/mcs/mcs2012.pdf (accessed on 6 March 2021).
  92. U.S. Geological Survey (USGS). Mineral. Commodity Summaries 2008. 2008. Available online: https://s3-us-west-2.amazonaws.com/prd-wret/assets/palladium/production/mineral-pubs/mcs/mcs2008.pdf (accessed on 6 March 2021).
  93. U.S. Geological Survey (USGS). Mineral. Commodity Summaries 2004. 2004. Available online: https://s3-us-west-2.amazonaws.com/prd-wret/assets/palladium/production/mineral-pubs/mcs/mcs2004.pdf (accessed on 6 March 2021).
  94. IndexMundi. Copper, Grade A Cathode Monthly Price. 2021. Available online: https://www.indexmundi.com/commodities/?commodity=copper (accessed on 31 March 2021).
  95. IndexMundi. Lead Monthly Prices. 2021. Available online: https://www.indexmundi.com/commodities/?commodity=lead (accessed on 31 March 2021).
  96. IndexMundi. Zinc Monthly Price. 2021. Available online: https://www.indexmundi.com/commodities/?commodity=zinc (accessed on 31 March 2021).
  97. Azapagic, A. Developing a framework for sustainable development indicators for the mining and minerals industry. J. Clean. Prod. 2004, 12, 639–662. [Google Scholar] [CrossRef]
  98. Garbarino, E.; Orveillon, G.; Saveyn, H.G.M.; Barthe, P.; Eder, P. Best Available Techniques (BAT) Reference Document for the Management of Waste from Extractive Industries, in Accordance with Directive 2006/21/EC; Publications Office of the European Union: Luxembourg, 2018; Available online: https://op.europa.eu/en/publication-detail/-/publication/74b27c3c-0289-11e9-adde-01aa75ed71a1/language-en (accessed on 15 April 2021).
  99. Govindan, K. Application of multi-criteria decision making/operations research techniques for sustainable management in mining and minerals. Resour. Policy 2015, 46, 1–5. [Google Scholar] [CrossRef]
  100. United Nations Economic Commission for Europe (UNECE). Safety Guidelines and Good Practices for Tailings Management Facilities; New York and Geneva. 2014. Available online: https://unece.org/environment-policy/publications/safety-guidelines-and-good-practices-tailings-management-facilities (accessed on 15 April 2021).
  101. Hartman, H.L.; Mutmansky, J.M. Introductory Mining Engineering, 2nd ed.; Wiley: Hoboken, NJ, USA, 2002; 570p. [Google Scholar]
  102. European Commission (EC). A Guide to EU Funding; Luxembourg, 2017; 20p, Available online: https://op.europa.eu/de/publication-detail/-/publication/7d72330a-7020-11e7-b2f2-01aa75ed71a1 (accessed on 20 May 2021).
  103. Park, J.K.; Clark, T.; Krueger, N.; Mahoney, J. A Review of Urban Mining in the Past, Present and Future. Adv. Recycling Waste Manag. 2017, 2, 4. [Google Scholar]
  104. Prno, J.; Slocombe, D.S. Exploring the origins of ‘social license to operate’ in the mining sector: Perspectives from governance and sustainability theories. Resour. Policy 2012, 37, 346–357. [Google Scholar] [CrossRef]
  105. Bächtold, H.G.; Schmid, W.A. Contaminated Sites and Spatial Planning—A European Challenge; vdf-Hochschulverl. AG an der ETH: Zurich, Switzerland, 1995. (In German) [Google Scholar]
  106. Lèbre, É.; Corder, G. Integrating Industrial Ecology Thinking into the Management of Mining Waste. Resources 2015, 4, 765–786. [Google Scholar] [CrossRef]
  107. Liessmann, W. Historical Mining in the Harz Mountains, 3rd ed.; Springer: Berlin/Heidelberg, Germany, 2010; 470p. (In German) [Google Scholar]
  108. Mohr, K. Geology and Mineral Deposits of the Harz Mountains: With 37 Tables in Text and on 5 Folded Inserts and 2 Overview Tables on the Inside Pages of the Cover, 2nd ed.; Schweizerbart: Stuttgart, Germany, 1993; 496p. (In German) [Google Scholar]
  109. Climate-Data.org. Climate Goslar (Germany), n. d. Available online: https://de.climate-data.org/europa/deutschland/niedersachsen/goslar-22981/ (accessed on 23 August 2020).
  110. State Office for Mining Energy and Geology (LBEG). NIBIS® map server: Climate. Available online: https://nibis.lbeg.de/cardomap3/# (accessed on 27 March 2021).
  111. Large, D.; Walcher, E. The Rammelsberg massive sulphide Cu-Zn-Pb-Ba-Deposit, Germany: An example of sediment-hosted, massive sulphide mineralisation. Miner. Deposita 1999, 34, 522–538. [Google Scholar] [CrossRef]
  112. European Commission (EC). CRM list 2020. 2021. Available online: https://rmis.jrc.ec.europa.eu/?page=crm-list-2020-e294f6 (accessed on 22 April 2021).
  113. DIN. DIN 1054:2010-12—subsoil: Verification of the safety of earthworks and foundations. 2010. Available online: https://www.beuth.de/de/norm/din-1054/135236978 (accessed on 19 April 2021).
  114. Federal State Working Group on Waste (LAGA). Requirements for the recycling of mineral waste—Part II: Technical Rules for Recycling, 1.2 Soil Material (LAGA TR Boden II). 2004. Available online: https://mluk.brandenburg.de/sixcms/media.php/land_bb_test_02.a.189.de/tr_laga2.pdf (accessed on 17 April 2021). (In German).
  115. European Central Bank. Pound sterling (GBP). 2020. Available online: https://www.ecb.europa.eu/stats/policy_and_exchange_rates/euro_reference_exchange_rates/html/eurofxref-graph-gbp.en.html (accessed on 14 August 2020).
  116. European Central Bank. US dollar (USD). 2020. Available online: https://www.ecb.europa.eu/stats/policy_and_exchange_rates/euro_reference_exchange_rates/html/eurofxref-graph-usd.en.html (accessed on 4 August 2020).
  117. InfoMine USA Inc. Mine and Mill Equipment Costs: An Estimator’s Guide; CostMine: Spokane Valley, WA, USA, 2016. [Google Scholar]
  118. Bray, R.N. A Guide to Cost Standards for Dredging Equipment, 2nd ed.; Construction Industry Research & Information Ass: London, UK, 2009. [Google Scholar]
  119. Figueiredo, J.; Vila, M.C.; Fiúza, A.; Góis, J.; Futuro, A.; Dinis, M.L.; Martins, D. A Holistic Approach in Re-Mining Old Tailings Deposits for the Supply of Critical-Metals: A Portuguese Case Study. Minerals 2019, 9, 638. [Google Scholar] [CrossRef] [Green Version]
  120. Kieckhäfer, K.; Breitenstein, A.; Spengler, T.S. Material flow-based economic assessment of landfill mining processes. Waste Manage. 2017, 60, 748–764. [Google Scholar] [CrossRef]
  121. World Bank. Doing Business 2020: Comparing Business Regulation in 190 Economies. Washington, DC, USA. 2020. Available online: http://documents1.worldbank.org/curated/en/688761571934946384/pdf/Doing-Business-2020-Comparing-Business-Regulation-in-190-Economies.pdf (accessed on 13 November 2020).
  122. Bastian, D.; Brandenburg, T.; Buchholz, P.; Huy, D.; Liedtke, M.; Schmidt, M.; Sievers, H. DERA List of Raw Materials; German Mineral Resources Agency (DERA) in the Federal Institute for Geosciences and Natural Resources (BGR): Berlin, Germany, 2019; 116p, ISBN 978-3-943566-61-1. (In German). Available online: https://www.deutsche-rohstoffagentur.de/DE/Gemeinsames/Produkte/Downloads/DERA_Rohstoffinformationen/rohstoffinformationen-40.pdf?__blob=publicationFile (accessed on 9 June 2021).
  123. Yang, C.; Chen, Y.; Peng, P.; Li, C.; Chang, X.; Wu, Y. Trace element transformations and partitioning during the roasting of pyrite ores in the sulfuric acid industry. J. Hazard. Mater. 2009, 167, 835–845. [Google Scholar] [CrossRef]
Figure 1. Practical UNFC-compliant approach for a systematic assessment and classification of mineral RMs recovery from tailings at very preliminary level. The leftwards arrow over rightwards arrow indicates mutual influence, and the dotted circles indicate possible reiteration steps.
Figure 1. Practical UNFC-compliant approach for a systematic assessment and classification of mineral RMs recovery from tailings at very preliminary level. The leftwards arrow over rightwards arrow indicates mutual influence, and the dotted circles indicate possible reiteration steps.
Resources 10 00110 g001
Figure 2. Schematic illustration of the TSF Bollrich’s near environment: (a) marks the main dam, (b) the middle dam, (c) the water retention dam, (d) the disused processing plant, (e) a glider airfield, and (f) the disused landfill Paradiesgrund. The neutralisation sludge between the dams (b, c) is yellowish. The white dotted line marks the disused railway connection from Oker to the processing plant, (i) the stream of neutralised mine water, (ii) the connection between the pond Gelmketeich and the water retention pond, and (iii) the river Gelmke. Adapted after Google Earth [50].
Figure 2. Schematic illustration of the TSF Bollrich’s near environment: (a) marks the main dam, (b) the middle dam, (c) the water retention dam, (d) the disused processing plant, (e) a glider airfield, and (f) the disused landfill Paradiesgrund. The neutralisation sludge between the dams (b, c) is yellowish. The white dotted line marks the disused railway connection from Oker to the processing plant, (i) the stream of neutralised mine water, (ii) the connection between the pond Gelmketeich and the water retention pond, and (iii) the river Gelmke. Adapted after Google Earth [50].
Resources 10 00110 g002
Figure 3. Tailings mining project Bollrich for the mineral RMs recovery scenarios (CRR1, ERR2) from a material flow perspective. The light grey and dark grey shaded fields illustrate the spatial and mineral processing system boundaries, respectively.
Figure 3. Tailings mining project Bollrich for the mineral RMs recovery scenarios (CRR1, ERR2) from a material flow perspective. The light grey and dark grey shaded fields illustrate the spatial and mineral processing system boundaries, respectively.
Resources 10 00110 g003
Figure 4. Material flow systems and 5-year material flows for the mineral RMs recovery scenarios (CRR1, ERR2). The light grey and dark grey shaded fields illustrate the spatial and mineral processing system boundaries, respectively. All figures were rounded to the sixth digit.
Figure 4. Material flow systems and 5-year material flows for the mineral RMs recovery scenarios (CRR1, ERR2). The light grey and dark grey shaded fields illustrate the spatial and mineral processing system boundaries, respectively. All figures were rounded to the sixth digit.
Resources 10 00110 g004
Table 1. Categorisation matrix: assessed factors and rationale behind their application based on their influence on a project.
Table 1. Categorisation matrix: assessed factors and rationale behind their application based on their influence on a project.
Category & FactorInfluence onUNFC Axis 1
overall project rating
geological conditions (relevant for project development)
(1) quantity, (2) quality, (3) homogeneitypotential profitability, mine planning, overall uncertaintyG
TSF condition & risks (relevant for project development)
(4) ordnanceexploration costs, overall project safetyF
mine planning considerations (relevant for project execution)
(5) mine/operational design, (6) metallurgical testwork,
(7) water consumption
reliability of the financial analysis, efficiency of the operation, environmental footprintF
infrastructure (relevant for project development)
(8) real estate, (9) mining & processing, (10) utilities,
(11) transportation & access
project viability, ramp-up timeF
post-mining state (relevant for future impacts)
(12) residue storage safety, (13) rehabilitationnecessary aftercare measures, public acceptanceF
microeconomic aspects (relevant for project development)
(14) economic viability, (15) economic uncertaintypotential returns, investor interestE a
financial aspects (relevant for project development)
(16) investment conditions, (17) financial supportpotential returns, investor interest, security of investmentE a
environmental impacts during project execution
(18) air emission, (19) liquid effluent emission, (20) noise emissionmine planning, local population, local ecosystemsE b
environmental impacts after project execution
(21) biodiversity
(22) land use
(23) material reactivity
quality of ecosystem after the project
land which can be repurposed
aftercare measures, local ecosystems
E b
social impacts during project execution
(24) local community, (25) health & safety, (26) human rights & business ethicssocial acceptance, peace & wellbeing, (unforeseeable) costs for compensationE c
social impacts due to project execution
(27) wealth distribution, (28) investment in local human capital
(29) degree of RM recovery, (30) RM valorisation
social peace & wellbeing, employment of local population, valuable legacy for workers & society after mine closure
amount of new residues, ecological risks, effort for & efficiency of future RMs recovery
E c
social impacts after project execution
(31) aftercare, (32) landscapesocial risks, social wellbeing, external costsE c
legal situation (relevant for project development)
(33) right of mining, (34) environmental protection,(35) water protectionproject feasibility, social acceptance, effort for formal project planningE d
subproject for individual RMs rating
geological conditions (relevant for project development)
(36) quantity, (37) quality, (38) homogeneitypotential profitability, mine planning, RM uncertaintyG
mine planning considerations (relevant for project execution)
(39) recoverabilityefficiency of the operation, amount of new residuesF
microeconomic aspects (relevant for project development)
(40) demand, (41) RM criticality, (42) price developmentproject viability, investor interest, overall project riskE a
impacts after project execution
(43) solid matter, (44) eluateenvironmental risks of new deposition, aftercare measuresE b
1 a: economic aspects, b: environmental aspects, c: social aspects, d: legal aspects.
Table 2. Summary of model assumptions for the case study TSF Bollrich.
Table 2. Summary of model assumptions for the case study TSF Bollrich.
Model Assumption
(1) for in-situ rehabilitation, TSF abandonment is performed as for DK II class landfills 1 under the German Landfill Regulation (DepV) [61].
(2) mass of dam material is neglected in mineral RMs recovery scenarios alongside its further treatment.
(3) freight costs for commodities & residues to downstream processes are neglected.
(4) all equipment can be used over the whole life of mine (LOM) without renewal except for the pipelines & pumps, which are exchanged in year 6 of the mining operation due to abrasive wear.
(5) processing plant Bollrich: assets can be used (for operation, administration, etc.), processing machinery can be reactivated, & the BaSO4 concentrate can be conditioned on site; basic infrastructure is in place.
(6) experimental tailings recovery rates from lower pond applicable to tailings from upper pond, neglecting the influence of neutralisation sludge on processing.
(7) no losses & dilution of tailings occur during mining & transport.
(8) the processing plant produces 3 types of products: (i) a pure industrial mineral concentrate (BaSO4), (ii) a mixed sulphide concentrate (CuFeS2, PbS, ZnS) including all high-technology metals (Co, Ga, In), & (iii) mixed residues due to inefficiencies in mineral processing.
(9) smelters pay for the recoverable Co, Ga, & In content in the mixed sulphide concentrate based on a recovery with ammonia leaching as specified in Reference [60].
(10) a discount rate of 15% is chosen to reflect a high risk investment [8].
1 Above-ground landfill for contaminated but non-hazardous waste such as pre-treated domestic waste or commercial mineral waste. Geological base and surface sealing is required.
Table 3. Results of the DCF analysis. The rehabilitation scenario (NRR0) has a project duration of 35 years. The RMs recovery scenarios (CRR1, ERR2) has a project duration of 11 years. The left column shows cost and revenue factors of the NPVs. Figures are given in millions of EUR.
Table 3. Results of the DCF analysis. The rehabilitation scenario (NRR0) has a project duration of 35 years. The RMs recovery scenarios (CRR1, ERR2) has a project duration of 11 years. The left column shows cost and revenue factors of the NPVs. Figures are given in millions of EUR.
Scenarios 1
NRR0CRR1pERR2pCRR1mERR2mCRR1oERR2o
NPV Factor
total NPV−124.6−16.682.073.9172.5164.4263.1
costs
CAPEX-−14.6−14.6−14.6−14.6−14.6−14.6
OPEX-−29.1−29.1−29.1−29.1−29.1−29.1
diesel-−3.4−3.4−5.1−5.1−6.9−6.9
electric energy-−1.2−1.2−1.2−1.2−1.2−1.2
residue disposal-−87.7-−87.7-−87.7-
rehabilitation-−4.0−4.0−4.0−4.0−4.0−4.0
closure & leachate phase−122.0------
aftercare phase−2.6------
revenues
BaSO4-92.192.1106.2106.2120.4120.4
Cu-9.49.414.914.920.320.3
Pb-14.114.130.530.547.047.0
Zn-6.16.158.258.2110.2110.2
Co-0.70.72.62.64.64.6
Ga-0.30.30.70.71.01.0
In-0.20.22.12.14.14.1
asset liquidation-0.10.10.10.10.10.1
residue sales--11.0-10.9-10.9
1 p: pessimistic price forecast (lower limit of 95% confidence interval), m: mean price forecast, o: optimistic price forecast (upper limit of 95% confidence interval).
Table 4. Categorisation matrix for the overall project rating of the rehabilitation scenario (NRR0) and the mineral RMs recovery scenarios (CRR1, ERR2).
Table 4. Categorisation matrix for the overall project rating of the rehabilitation scenario (NRR0) and the mineral RMs recovery scenarios (CRR1, ERR2).
Scenario
FactorNRR0CRR1ERR2
UNFC G Category
geological conditions (relevant for project development)
(1) quantityG2G2G2
(2) qualityG2G2G2
(3) homogeneityG2G2G2
UNFC F Category
TSF condition & risks (relevant for project development)
(4) ordnanceF3F3F3
mine planning considerations (relevant for project execution)
(5) mine/operational designF3F3F3
(6) metallurgical testwork-F3F3
(7) water consumptionF3F1F1
infrastructure (relevant for project development)
(8) real estateF1F1F1
(9) mining & processing-F3F3
(10) utilitiesF2F2F2
(11) transportation & accessF2F2F2
post-mining state (relevant for future impacts)
(12) residue storage safetyF3F3F3
(13) rehabilitationF2F2F2
UNFC E Category 1
microeconomic aspects (relevant for project development)
(14) economic viabilityE3.3aE3.1aE3.1a
(15) economic uncertainty-E3.3aE3.1a
financial aspects (relevant for project development)
(16) investment conditions-E3.1aE3.1a
(17) financial supportE3.3aE3.1aE3.1a
environmental impacts during project execution
(18) air emissionE3.3bE3.1bE3.1b
(19) liquid effluent emissionE3.1bE3.1bE3.1b
(20) noise emissionE3.2bE3.2bE3.2b
environmental impacts after project execution
(21) biodiversityE3bE3bE3b
(22) land useE3.2bE3.2bE3.2b
(23) material reactivityE3.3bE3.1bE3.1b
social impacts during project execution
(24) local communityE3.3cE3.2cE3.2c
(25) health & safetyE3.3cE3.3cE3.3c
(26) human rights & business ethicsE3.3cE3.3cE3.3c
social impacts due to project execution
(27) wealth distributionE3.3cE3.3cE3.3c
(28) investment in local human capitalE3.3cE3.3cE3.3c
(29) degree of RM recoveryE3.3cE3.2cE1c
(30) RM valorisationE3.3cE3.3cE3.1c
social impacts after project execution
(31) aftercareE3cE1cE1c
(32) landscapeE2cE1cE1c
legal situation (relevant for project development)
(33) right of miningE3.3dE3.3dE3.3d
(34) environmental protectionE3.3dE3.3dE3.3d
(35) water protectionE3.3dE3.3dE3.3d
total ratingG2G2G2
F3F3F3
E3.3aE3.3aE3.1a
E3.3bE3.2bE3.2b
E3.3cE3.3cE3.3c
E3.3dE3.3dE3.3d
1 a: economic aspects, b: environmental aspects, c: social aspects, d: legal aspects.
Table 5. Categorisation matrix for the subproject rating for individual RMs (CRR1, ERR2).
Table 5. Categorisation matrix for the subproject rating for individual RMs (CRR1, ERR2).
Subprojects for RMs
FactorBaSO4CuPbZnCoGaInFeS2Inert Material 1
UNFC G Category
geological conditions (relevant for project development)
(36) quantityG2G2G2G2G3G3G3G2G2
(37) qualityG2G2G2G2G3G3G3G2G2
(38) homogeneityG2G2G2G2G3G3G3G2G2
UNFC F Category
mine planning considerations (relevant for project execution)
(39) recoverabilityF2F2F2F2F3F3F3F1F1
UNFC E Category 2
microeconomic aspects (relevant for project development)
(40) demandE3.1aE3.1aE3.1aE3.1aE3.1aE3.1aE3.1aE3.2aE3.3a
(41) RM criticalityE1aE2aE2aE2aE1aE1aE1aE2aE3a
(42) price developmentE3.1aE3.3aE3.2aE3.2aE3.1aE3.3aE3.1a--
impacts after project execution
(43) solid matter-E3.1bE3.2bE3.1b----E1b
(44) eluateE3.1bE3.1bE3.2bE3.1b----E1b
total ratingG2G2G2G2G3G3G3G2G2
F2F2F2F2F3F3F3F1F1
E3.1aE3.3aE3.2aE3.2aE3.1aE3.3aE3.1aE3.2aE3.3a
E3.1bE3.1bE3.2bE3.1b----E1b
1 Wissenbach shales & ankerit. 2 a: economic aspects, b: environmental aspects, c: social aspects, d: legal aspects.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Suppes, R.; Heuss-Aßbichler, S. How to Identify Potentials and Barriers of Raw Materials Recovery from Tailings? Part II: A Practical UNFC-Compliant Approach to Assess Project Sustainability with On-Site Exploration Data. Resources 2021, 10, 110. https://doi.org/10.3390/resources10110110

AMA Style

Suppes R, Heuss-Aßbichler S. How to Identify Potentials and Barriers of Raw Materials Recovery from Tailings? Part II: A Practical UNFC-Compliant Approach to Assess Project Sustainability with On-Site Exploration Data. Resources. 2021; 10(11):110. https://doi.org/10.3390/resources10110110

Chicago/Turabian Style

Suppes, Rudolf, and Soraya Heuss-Aßbichler. 2021. "How to Identify Potentials and Barriers of Raw Materials Recovery from Tailings? Part II: A Practical UNFC-Compliant Approach to Assess Project Sustainability with On-Site Exploration Data" Resources 10, no. 11: 110. https://doi.org/10.3390/resources10110110

APA Style

Suppes, R., & Heuss-Aßbichler, S. (2021). How to Identify Potentials and Barriers of Raw Materials Recovery from Tailings? Part II: A Practical UNFC-Compliant Approach to Assess Project Sustainability with On-Site Exploration Data. Resources, 10(11), 110. https://doi.org/10.3390/resources10110110

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop