Next Article in Journal
TRIC: A Thermal Resistance and Impedance Calculator for Electronic Packages
Next Article in Special Issue
Bridging Tools to Better Understand Environmental Performances and Raw Materials Supply of Traction Batteries in the Future EU Fleet
Previous Article in Journal
Electricity Portfolio Optimization for Large Consumers: Iberian Electricity Market Case Study
Previous Article in Special Issue
The Role of Biorefinery Co-Products, Market Proximity and Feedstock Environmental Footprint in Meeting Biofuel Policy Goals for Winter Barley-to-Ethanol
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Environmental Assessment of a Coal Power Plant with Carbon Dioxide Capture System Based on the Activated Carbon Adsorption Process: A Case Study of the Czech Republic

by
Kristína Zakuciová
1,2,*,
Jiří Štefanica
1,
Ana Carvalho
3 and
Vladimír Kočí
2,*
1
ÚJV Řež, a. s., Hlavní 130, Řež, 250 68 Husinec, Czech Republic
2
Department of Environmental Chemistry, Faculty of Environmental Technology, University of Chemistry and Technology, Prague, Technická 5, 166 28 Praha 6, Czech Republic
3
CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal
*
Authors to whom correspondence should be addressed.
Energies 2020, 13(9), 2251; https://doi.org/10.3390/en13092251
Submission received: 3 April 2020 / Revised: 17 April 2020 / Accepted: 19 April 2020 / Published: 4 May 2020
(This article belongs to the Special Issue Life Cycle Assessment (LCA) of Environmental and Energy Systems)

Abstract

:
The Czech Republic is introducing new technological concepts for mitigation of greenhouse gases (GHG) in coal-based energy industries. One such technology, in power plants, is post combustion CO2 capture from flue gases by activated carbon adsorption. A life cycle assessment (LCA) was used as the assessment tool to determine the environmental impacts of the chosen technology. This article focuses on a comparative LCA case study on the technology of temperature-swing adsorption of CO2 from power plant flue gases, designed for the conditions of the Czech Republic. The LCA study compares the following two alternatives: (1) a reference power unit and (2) a reference power unit with CO2 adsorption. The most significant changes are observed in the categories of climate change potential, terrestrial acidification, and particulate matter formation. The adsorption process shows rather low environmental impacts, however, the extended LCA approach shows an increase in energy demands for the process and fossil depletion as a result of coal-based national energy mix. The feasibility of the study is completed by the preliminary economical calculation of the payback period for a commercial carbon capture unit.

1. Introduction

In the Czech Republic, around 52.4% of the total gross electricity production (87.6 TWh) is generated from coal, which is approximately 41% of the energy mix [1]. The Czech industry emitted around 120.5 million tons CO2, with the largest proportion of 98 million tons in 2017 [2]. The major problem of reducing CO2 emissions and its sequestration lies with the implementation of carbon capture and storage (CCS) systems. It is commonly perceived that the implementation of CCS decreases local CO2 emissions and, if applied globally, supports mitigation efforts concerning the anthropogenic contribution to climate change. However, CCS technologies can be related to more complex, unexpected, or non-obvious environmental impacts. Thus, there is a common need for a holistic environmental approach that assesses and evaluates new industrial techniques and applications, which can significantly influence the environment. Results and conclusions based on such a holistic approach support the decision making of scientists, environmentalists, and governments concerning the implementation of new techniques and allow the environmental analysis in a wider and more detailed context. Life cycle assessment (LCA) is a tool for the assessment of technologies such as CCS, from both an environmental and sustainable point of view. A LCA uses different database methods and offers several approaches for the optimization of the processes and subsequent calculation of the environmental suitability of the chosen technology.
Considering several scientific references available (summarized in Table 1), there is a need for systematic environmental studies and reports that are built on local and site-specific operational data of the pilot CO2 capture plants. Most of the available studies deal with averaged environmental data from LCA databases and use hypothetical and mathematical models to describe a specific CO2 capture system. Current LCA studies focus on the comparison of several sorbents. Most studies specifically target post-combustion capture using monoethanolamine (MEA) sorbent. Comparative LCA analyses of MEA and potassium carbonate solvents have revealed that potassium carbonate solvents contribute to lower environmental impacts [3]. Compared to MEA, this process shows a reduction of emissions and energy cost savings. In [4], Manuilova compared power units with MEA sorbents and without CO2 capture and corroborated the general conclusions of other research works which reported a decrease in SO2 and particulate matter and an increase in NOx emissions due to MEA emissions. Additionally, increased levels of smog, water consumption, and water toxicity were also calculated. Koornneef [5] stated that SO2 and solid particle emissions decreased due to CCS implementation, but NOx, NH3, and volatile organic compound emissions increased due to the utilization of amine and ammonia-based absorbents for CO2 capture. Petrakopoulou and Tsatsaronis [6] evaluated the environmental impacts of electricity generated by natural gas and coal power plants. The facts published by others [5,7,8] also revealed that CCS required additional energy consumption, leading to a decrease in power plant efficiency and a greater potential of fossil fuel consumption. One recently studied technology using CaCO3 as the solvent, was the CaO looping system. A comparative LCA study by Clarens et al. [9] showed that CaO looping decreased CO2 emissions by 73 percent. A suitable alternative to the absorption processes based on amines can be adsorption separation of CO2. Under certain circumstances, adsorption can exceed CO2 absorption if the corrosive absorption medium is replaced by a solid sorbent, the absorption media treatment is removed, and the operational costs are decreased due to lower energy consumption during the regeneration step as compared with the regeneration of liquid solvents.
Regarding the activated carbon (AC) adsorption process, our literature survey revealed a study published by Hjaila et al. [10] about LCA of the production of AC from olive waste cakes. This study highlighted the most significant impacts of acidification and eutrophication due to the use of H3PO4 and the electricity demand for the AC production process. The software used in this study was SimaPro 7.3 based on the Ecoinvent database and the assessment method was CML 2 Baseline 2000. Another recent study associated with LCA and AC was conducted by Arena et al. [11]. This study evaluated the LCA of the production of AC from coconut shells. The life cycle inventory was based on the Ecoinvent 3.0 database, using CML-2001 as the LCA method and the software GaBi 6.0. The results demonstrated that global warming potential, acidification, and human toxicity represent the most significant environmental impacts. The environmental burdens are mainly associated with the production of electrical energy (based on hard coal) used in the production process of AC.
Currently, in the Czech Republic, CCS is in the stage of technical drafts and optimization of the systems, as well as economic assessment of the optimized solutions. These studies can be subsequently supported by the evaluation of environmental gains and impacts using the LCA approach. The environmental impacts have already been assessed for two technical solutions in the Czech Republic, i.e., a power plant with ammonia scrubbing of CO2 [12] and a power plant with high-temperature carbonate looping [13]. These processes face various operational issues that could be omitted by using low-temperature solid sorbents, such as zeolites or activated carbon.
This study aims to analyze an integrated system of Czech brown coal power unit with CO2 capture based on an AC system, drafted and optimized as part of a national-scale project [14]. The main goal of this study is to identify key environmental impacts and the economic feasibility of the unit with integrated capture of CO2. The study intends to use operational data from pilot testing of the CO2 capture method based on adsorption to evaluate environmental impacts on the national conditions. In order to perform a holistic and systematic evaluation, the LCA study was performed in different levels of decision-making processes such as characterization, normalization, Pareto analysis, and input-output analysis. This study was completed by the economical evaluation of such CCU (carbon capture and utilization) unit. In summary, the main contributions of the paper are:
  • An extensive literature survey of current LCA studies on various carbon capture technologies;
  • Performance of a holistic environmental LCA case study on the unique technology of activated carbon adsorption of CO2 in Czech energy conditions;
  • An LCA case study based on operational data of an operating 250 MW power unit from a national-scale project;
  • Performance of robust LCA analyses for the adsorption capture process conducted at four decision making levels (characterization, normalization, Pareto analysis, and input-output analysis);
  • An economical calculation of commercial CCU unit with payback period;
  • The identification of areas within a carbon capture technological process that can be improved to enhance environmental and economic performance.
The structure of this paper is comprised of the definition of a life cycle approach according to related international standards; the definition of the case study, i.e., description of Czech power unit and adsorption technology; implementation of the LCA methodology for the case study; characterization and interpretation of the environmental results; and finally, an economic evaluation of the case study.

2. Methods

2.1. Environmental Assessment: The Life Cycle Assessment Method

LCA is a tool to evaluate the environmental impacts of products and processes, such as the production of electricity. The LCA method is certified and defined by international standards ISO 14040 [15] as a cradle-to-grave analysis which facilitates a comparison of technological processes regarding their environmental characteristics. This includes all phases of a product´s lifetime. According to the international standards, LCA consists of four steps, i.e., goal and scope definition, inventory analysis, impact assessment, and interpretation which are described as follows:
Step 1 Goal and scope definition
The depth of the analysis is determined by the goal of LCA. This study aimed to create a model and analyze the potential environmental impacts of CO2 adsorption on activated carbon connected to a 250 MW brown coal power unit. Therefore, two scenarios were considered:
  • Scenario 1 which is the assessment of electricity production by the 250 MW coal power unit.
  • Scenario 2 which is the assessment of the electricity production by the 250 MW coal power unit integrated with the CO2 adsorption unit.
For the comparison of the LCA results, a compatible functional unit must be defined for each scenario. The functional unit for both scenarios was defined as the power capacity (250 MW) of the power unit. System boundaries included the operational part of the power plant and activated carbon production, emission treatment, CO2 capture process, and waste generation. System boundaries excluded CO2 compression, transport, and final storage due to limited information about CO2 storage in the Czech conditions. Moreover, the environmental assessment included the operational part of the power plant rather than the life cycle of the CO2. Therefore, the approach used was considered to be “cradle-to-gate.”
Step 2 Life cycle inventory (LCI)
LCI starts with data collection and model construction, in compliance with the goal and scope definition, followed by the collection of input-output data and calculation of the resource depletion and emission release during the production process. Operational data for the case study was collected from the pilot project report [14] with detailed technical requirements and descriptions.
Step 3 Life cycle impact assessment (LCIA)
LCIA can be divided into three steps, i.e., characterization, classification, and normalization. For the characterization and classification steps, the impact potentials were calculated. Normalization is an optional step of LCIA. Normalization uses a common reference impact to express results after the characterization and supports the comparison between alternative scenarios by using reference numerical scores. Normalization also gives a basis for comparing different types of impact categories [16]. The additional approach of Pareto analysis was chosen for defining the most significant impact categories. The selected method for the LCA analyses of the study was the ReCiPe 1.08 method. This method combines the problem-oriented approach of the CML method and the damage-oriented approach of EcoIndicator 99. The ReCiPe method is characterized by the following 18 midpoint indicators: ozone depletion (OD), human toxicity (HT), ionizing radiation (IR), photochemical oxidant formation (POF), particulate matter formation (PMF), terrestrial acidification (TA), climate change (CC), terrestrial ecotoxicity (TET), agricultural land occupation (ALO), urban land occupation (ULO), natural land transformation (NLT), marine ecotoxicity (MET), marine eutrophication (ME), fresh water eutrophication (FE), fresh water ecotoxicity (FET), fossil depletion (FD), metal depletion (MD), and water depletion(WD); in addition, there are three endpoint indicators, i.e., human health, ecosystems, and resource surplus costs [17,18].
Step 4 Characterization and interpretation
This step is based on the results of the LCIA phase. The results are defined as a potential environmental impact. The environmental impact is calculated using characterization methods that associate the scale of a pollutant emission to selected characterization factors. The interpretation of the results includes an identification of significant issues, evaluation of completeness, and sensitivity of results. The interpretation phase also includes key conclusions and recommendations [19]. Normalized results are further assessed by the statistical method of Pareto´s rule (80/20 rule), which states that 20 percent from all impact categories cause 80 percent of the total environmental impacts [20,21].
In our case study LCA, for the Pareto analysis, we chose values after normalization for each impact category.
In summary, the full LCA analysis was performed for both scenarios applying the ReCiPe method. Then, the characterization and normalization (according to ReCiPe 1.08, midpoint normalization of the Europe region) steps were performed to interpret the environmental impacts of the chosen scenarios. Additional Pareto analyses with more detailed input-output analyses of the specific processes were performed to identify the most significant processes which influence relevant environmental impacts.

2.2. Economical Assessment and Economical Inventory of the Carbon Capture Unit (CCU)

The economical evaluation of the CCU can have a significant impact on the actual feasibility of the project and contributes to the sustainability assessment of the technology. The calculation predicts the cost for the construction of a newly built commercial CCU and payback period. The economical inventory of the required construction materials was estimated based on previous projects made for the Czech market by the experts of the biggest Czech energetic research group (ÚJV Řež, a. s.). The evaluation was part of a national scale project [14] for the CCU application and connection to the 250 MW power unit.

3. Case Study Definition: Reduction of CO2 Emissions in the Czech Republic

To understand and define the technological boundaries for comparing the systems, it is important to describe both scenarios from a technical point of view. Scenario 1 defines the basic systems of the reference power plant. Scenario 2 is described by the reference power unit with the adsorption process of CO2 capture systems.

3.1. Scenario 1: Reference Power Plant

The first scenario considers the concept of the reference case scenario of the real Czech power plant. Mass and energy flows for further LCA analysis are related to the power plant’s operation, which consists of three independent power blocks, each with an installed power of 250 MW. Each power block includes a dry bottom boiler, a turbine and its auxiliaries, a generator, a fly-ash separator, a cooling tower, a transformer, and a desulphurization unit. Coal feeding, water management (pipeline, pump, and chemical treatment), stack, auxiliaries for fly-ash handling, and desulphurization are shared systems. Since 1996, several equipment modernizations have been added in the power plant, such as a desulphurization system based on wet-limestone scrubbing. The gypsum, a product of desulphurization, is deposited into an adjusted mining dump site. Moreover, a hydraulic ash removal system has been replaced by deposition of a mixture of ash, gypsum, and wastewater into an adjusted mining dump site. The modernization includes the research and development of suitable CO2 sorbents for specific conditions. One of the most viable and commercially affordable options seems to be capture by activated carbon [22].

3.2. Scenario 2: Activated Carbon Adsorption for Reference Power Plant

The second scenario considers the same reference power plant with the connected CO2 adsorption unit. Mass and energy flows for the next LCA analysis include the operational phase of the power plant and the adsorption unit [23]. For the Czech power plant, the pilot adsorption facility was designed by the UJV Rez group and it was a pilot project [14] for the adsorption of operational flue gases of the power unit. The adsorption unit is based on a rotative adsorber (Figure 1). The main advantages are the continuous operation of adsorption, easy regulation of the adsorption process, and being a viable source of activated coal. The pilot facility for CO2 separation from flue gases by the adsorption was designed for continuous operation in the conditions of real flue gases from the lignite power unit. The concept is based on the rotational adsorption part, where the main functional part is the fixed adsorption bed connected to the motor driven rotor. The adsorption wheel rotates at a predetermined velocity around its own axis and the speed determines the time of the whole adsorption–desorption cycle. The CO2 separation follows the desulphurization process, where flue gases are purified and cooled by NaOH, and then the oxides SOx and NOx are removed. Cooled and purified flue gases pass through ventilators and through heating to the rotational adsorber for CO2 adsorption. Purified flue gases without CO2 are led out of the separation technology to the chimney or cooling tower. In the section of desorption, adsorbed CO2 is thermally displaced from the carbon sorbent by circulating gas heated by external steam. CO2 is continually transported for potential compression with 95% purity. The next step is the cooling of the sorbent to the requested temperature for adsorption. The whole process operates continuously by the rotation of the wheel. The pilot case rotative adsorber is pictured in Figure 1 [24]. The primary source of the activated carbon in Czech conditions is assumed to be hard coal from the ČSM mine site (Karvina region) with an annual mining of six million tons of hard coal [2]. The activation of the hard coal is based on two main steps, i.e., carbonization of the raw material in the absence of oxygen and activation of the carbonized product with water vapor. The heat supply necessary for the activation is obtained by combustion of gases produced during activation.

3.3. LCA Study: System Boundaries Definition

As stated previously, this study aims to identify the environmental impacts of a power plant with a carbon capture system integration using the designed adsorption method and comparing those impacts with a reference power plant without an adsorption system. The study also focuses on assigning the environmental impacts to the designed CO2 capture technology itself. The system boundary for Scenario 1 (Figure 2) includes a brown coal production chain from the mining process, transport of fuel to the power unit with power production, combustion, and flue gas treatment processes. Scenario 1 also includes waste and gas emissions production (residuals of flue gas after treatment as nitrogen oxides, carbon dioxide, and sulphur dioxide, released through a stack into the air). Scenario 2(Figure 3) includes a brown coal production chain, power unit operation with power and waste production, adsorption process with all relevant inputs, such as activated carbon production and production of 40% NaOH, and finally, output flows from the adsorption process (captured CO2, gas emissions and waste products). Although the CCS chain also includes transport and storage of captured CO2, our specific study does not include any operational data for transport and storage of CO2, as there is no specific solution of CO2 transport and storage in the Czech Republic and the distance from an emission source to a storage site with adequate storage capacity and lifetime is unique for every case.

3.4. Life Cycle Inventory

The input data for the power unit was based on the real power plant operational parameters. Its characteristics are given in Table 2. The heat and mass balances for CO2 capture technology (Table 3) were evaluated in relation to the power plant characteristics [14] and the results obtained from the pilot testing of the adsorption method.
In addition to the process of adsorption, the process of activation and carbonization of hard coal is also required to be included in the model. The input data was calculated for the initial batch of 7.6 t of hard coal and 76 t of tar (then activated and transformed into activated carbon). The energy consumption for the hard coal activation was calculated as 1133 MJ. Before the introduction of the flue gas from coal combustion into the CO2 adsorption stage, it must be secondary treated to decrease the amount of acid gases. To do so, flue gas after coal combustion is washed with a NaOH solution. The composition of the reacted products (output flows) after the reaction with NaOH is described in Table 4.
The emission gases released into the air after the CO2 adsorption stage, the amount of wastewater, and of captured CO2 are depicted in Table 5.
Moreover, other conditions and assumptions in the LCA model were taken into consideration with respect to the technical concept of CO2 adsorption technology and its energy and mass balances as follows:
  • The energy required for the 250 MW power unit is determined by brown coal mix production in the conditions of the Czech Republic.
  • The reactive product from the NaOH reaction is a non-utilized waste which would be stored at a landfill.
  • The wastewater is processed in a wastewater treatment plant and the data for the wastewater treatment plant was taken from the general EU standard dataset thinkstep.
  • The primary resource of the activated carbon is hard coal, which is transported by diesel train for an average distance of 1000 km.
  • The energy source required for activated carbon activation and carbonization is natural gas.

3.5. Economical Calculation

For the calculation of the CO2 capture unit construction and connection to the average power plant, the following parameters were assumed:
  • Capture effectivity 50%;
  • CCU unit would process 0.1% to 0.2% of flue gases produced by an average power plant block;
  • CCU unit would capture around 1200 t CO2/year.
The cost estimation of the construction of CCU is calculated according to the price of the required appliances. Then, the capital expenditure (CapEXP) is multiplied by the coefficient 1.7 (conservative estimate), which refers to the assumption that the construction is built as a fully new technology, and therefore some unexpected expenses could arise.
The operational costs (OpCost) for each item are difficult to estimate. Therefore, 5% of the capital expenditures were used as the operational cost value per year.
Incomes (In) are calculated from the cost of saved CO2 allowance for each ton of CO2 and the current market price of CO2. The authors used a more pessimistic scenario according to the EU commission reference for CO2 allowance of 25 Euro/t CO2 and the actual market price which is estimated to be 120 Euro/t CO2. Then, the payback period (PBT, simple, not discounted) for the commercial CO2 capture unit is calculated as following:
In = CO 2   captured ( Cost CO 2   allowance + Cost CO 2   market )
PBT = CapEXP ( In OpCost )

4. Results

4.1. Life Cycle Impact Assessment

Steps 3 and 4 of LCIA are involved in the Results section. First, each scenario is analyzed separately, and then compared to each other. The results of both considered scenarios are represented in Table 6. Table 6 summarizes the environmental impact categories into the following three groups of results: values in category units, normalization results without any units, and the relative contribution of each impact category to the sum of all categories. The relative contributions are computed from the normalization values.
According to the results, the relative contribution to the sum of impacts in Scenario 1 shows the highest contribution of 46.81% by fossil depletion and in 29.27% by climate change potential. In addition, almost 10% of the environmental impact contribution refers to the terrestrial acidification potential. For Scenario 1, the highest contribution of 77.41% is shown by fossil depletion. All other potential environmental impacts refer to much smaller contributions. For the comparison of both scenarios among the environmental impact categories, the normalization level of the decision-making process was considered. Further Pareto analysis describes the difference between values among the scenarios.

4.2. Pareto Analysis of the Scenarios and Processes

The Pareto analysis defines 20% of the potential environmental impact categories that contribute to 80% of the total impact. The environmental impacts were divided into the following two groups of flows: (1) input flows which use, consume, or transform primary soil, land, or resources (agriculture land occupation, natural land transformation, and fossil depletion) and (2) output flows which are considered to be emissions from the considered processes. In the case of the input flows, for both scenarios, all the mentioned environmental categories have equal values and the highest among them has fossil depletion.
Figure 4 and Figure 5 illustrate the most significant environmental categories for output flows by Pareto graphics. On the one hand, Scenario 1 identifies fossil depletion (FD), climate change (CC) potential, and terrestrial acidification (TA) as the highest contributors. On the other hand, Scenario 2 shows that the terrestrial acidification has a higher impact value than CC. For the fossil depletion category, the brown coal mining is shown as having the highest contribution. Therefore, the climate change category is affected mainly by the combustion of brown coal and thermal energy production for the power unit operation.
For the comparison of both scenarios the following graphics (Figure 6, Figure 7, Figure 8 and Figure 9) represent differences in the significant (CC, TA, PMF, and POF) environmental categories. The graphs show lower impacts in each category for Scenario 2. The most significant difference is seen in CC where the values for Scenario 2 are almost two-thirds lower than those in Scenario 1.
For Scenario 2, Table 7 shows that the category of fossil depletion is affected mainly by brown coal production and mining. Moreover, terrestrial acidification potential is mainly affected by the CO2 adsorption process. Brown coal combustion and, consequently, production of thermal energy for the adsorption process are also contributors to the acidification potential. Transport has a minor role for both scenarios

Environmental Impact Assessment of Activated Carbon Production

The question of the activated carbon production is crucial for the whole environmental impact analysis. Therefore, further detailed input-output analyses of the process of the activated carbon production is required. Table 8 shows the relative contribution of each category for the activated carbon production for the CO2 adsorption process. The highest contribution refers to the categories of climate change potential and fossil depletion.

4.3. Economical Evaluation of the Payback Period of the Pilot CO2 Capture Unit

Total capital expenditures according to the required components price are listed in Table 9.
Results in Table 10 for the economic feasibility and payback time period were calculated according to Formulas (1) and (2).

5. Discussion

According to the characterization values in Table 6, the most obvious difference between the two scenarios is the climate change category (Figure 6). This result corresponds to the decrease of CO2 levels by the adsorption process (in Scenario 2), modelled at 75% CO2 capture from flue gases. The gains in terrestrial acidification potential in Scenario 1 have higher values (227 kg SO2 eq.), which are mainly influenced by SO2 emissions (119 kg) released into the air after the flue gas treatment. In Scenario 2, this amount of SO2 in flue gases is the input into the adsorption process, thus, the values for the acidification category are lower. In addition, Scenario 1 refers to the higher values in the PMF and POF categories. These categories are influenced by fuel combustion emissions.
Studies by Kantová [25] and Vassilev [26] showed that ash from the brown coal combustion consisted of a high volume of particulate matter (93.08% from brown coal) which was volatile and persistent in the atmosphere. Therefore, brown coal combustion and the quality of brown coal are significant factors that influence the level of potential environmental harm. According to Kantová, the key parameters for controlled emissions in the process of combustion are low ash content, low moisture levels, and a constant size of volatile particles. In the context of the Czech integrated register of pollutants and emissions restrictions [27], there are no further chemical descriptions of particulate matter (PM), and thus it is complicated to get parameters of produced PMs that directly affect the environmental category of particulate matter formation. Therefore, the chemical analysis of PM produced from Czech brown coal would be an interesting subject for further research.
The Pareto analysis was chosen to distinguish which processes have the greatest impact, particularly for output flows (emissions) in both scenarios which are harder to decide upon. The input flows, which consider the change of the land and resource depletion, show the highest contribution of fossil depletion potential in both scenarios. In both cases, fossil depletion is related to the processes of brown coal mining and production which require 214 t/h of primary brown coal for the actual operation of the studied power unit. However, the result values for fossil depletion in Scenario 1 does not show any significant difference as compared with Scenario 2, although there is a slightly higher demand for raw material extraction, such as hard coal for activated carbon production. This demand refers to a need for fresh carbon, in the amount of 23 kg/h, which in the evaluation of the whole life cycle means only a small resource demand. The Pareto analysis for output flows (Figure 4 and Figure 5) considers fossil depletion, climate change, and terrestrial acidification as the most significant contributors to the overall environmental impacts. The only difference lays in the degree of priority for each scenario. For both scenarios, fossil depletion has equal significance, as the values of characterization are the same. In Scenario 1, the impact contribution in second place is climate change and, in Scenario 2 it is terrestrial acidification. Climate change in Scenario 1 is mainly caused by the combustion process of the coal and the production of thermal energy for the power unit. For Scenario 2, Table 7 shows that the processes influencing the category of terrestrial acidification are brown coal mining and SO2 emissions (released into the air after the adsorption process in the amount of 82.3 kg SO2 eq). The impact of transportation, in both scenarios, is insignificant.
It is also important to mention the category of water consumption. In the relative contribution to environmental impacts, this category does not show any significance. However, in the characterization phase, the consumption of 6400 m3 of water shows that the energy industry plays a role in water management. This is a reminder that the process must also aim to mitigate excessive water consumption, especially in times of global warming and drought danger.
The next step was to assess the production of the activated carbon. The literature review for the LCA of the activated carbon adsorption process showed that environmental studies have focused on the type of activated carbon production. The case study is considering the production of activated carbon from hard coal as a primary source. Therefore, resource depletion, as a direct connection to the category of fossil depletion potential, is affected by hard coal mining. Tar, as an input flow for the activated carbon production, also contributes to resource depletion. On the site of emissions, CO2 emissions from the combustion of natural gas (1133 MJ for activation and carbonization of 7.6 t of activated carbon) cause major environmental consequences. Moreover, among all environmental impact categories, climate change has the highest relative contribution (almost 99%). The impact relates to the combustion of natural gas (Table 8).
The results clearly demonstrate that the power unit with the connection of adsorption process leads to decreased environmental impacts, specifically in the categories of climate change, terrestrial acidification, particulate matter formation, and photochemical oxidant formation. The problem is seen in a primary source, i.e., coal extraction, which, in both scenarios, shows relatively high and equal values. The Czech national energy mix is based on brown coal power plants, and therefore the raw materials extraction and resource depletion creates a significant environmental burden. The extraction of hard coal for activated carbon production also contributes to this fact. The case study counts with just an input of 23 kg fresh activated carbon, but the basic batch of hard coal is rather bigger and counts with 7.6 t, which is an additional amount of raw materials extracted from the ground. The production of the activated carbon could be optimized using different resources such as biomass, which could contribute to reduced consumption of the fossil source.
Finally, the economical consideration (Table 9 and Table 10) of the newly built CCU shows a payback period of almost six years (relatively fast for such a small CCU). It must be considered that the market price for a ton of CO2 could be lower, due to lower purity of the CO2 product. If the market price was one-third lower (40 Euro), incomes would change to 78,000 Euros and the payback period would increase to almost 18 years. We conclude that, even if the process of CO2 capture was highly effective, the purity of the final product has a significant role in the economy of the whole process. To make the project feasible, there is a technical requirement to solve the purification process of CO2, leading to an increase of total capital expenditures and of the payback period. Moreover, purified CO2 as a final product could be more attractive for sectors such as agriculture or the food processing industry, and therefore contribute to the national circular economy.

6. Conclusions

Carbon dioxide capture by activated carbon adsorption seems to be a promising technology from an environmental perspective. The LCA assessment highlights the main environmental impacts that can arise during the life cycle of the technology.
The robust LCA analyses which included characterization, normalization, and Pareto analyses with input-output analyses are approaches that create a precise model to reflect specific conditions of the technology. The LCA helps to identify the key processes that can be improved with respect to their environmental performance. In addition, the economic calculation completes the sustainability assessment of the newly built technology and gives the perspective of the final product (CO2) utilization. It must be stressed that the designed emissions of the capture method are site specific and reflect the local conditions, for example, the type of power plant, fuel type, natural sources (for capture media production), etc. The presented adsorption method was designed for the purpose of CO2 capture from subcritical, coal-fired power plants in the Czech Republic. The sum of the environmental impacts with carbon capture is generally lower than the power unit itself. Nevertheless, this study shows that the Czech energy mix (in both scenarios) leads to high levels of CO2, SO2 emissions, and solid particulates. As the Czech national energy mix is primarily from brown coal, the depletion of fossils by a primary energy source still remains the main environmental problem, but monitoring of the coal quality, as well as testing the chemical composition of particulate matter, could contribute towards lower potential environmental impacts.
Nevertheless, further research that focuses on various sources (as biomass) for activated carbon production should be considered. Moreover, CCU could become part of the Czech circular economy, if the purification processes and measures of the CO2 product are wisely chosen and adapted.
Worldwide pressure for low carbon economy transition is forcing the national energy systems to find viable solutions to mitigate the levels of greenhouse gases (GHG). The Czech Republic is slowly shifting towards increased integration of renewable energy systems. However, the coal industry is still the prevailing sector, where a sudden shift could be drastic for the national economy and coverage of the power demand. Therefore, the current systems with optimized CCU could be the solution that would help to overcome the transition process. The implementation of all available tools and knowledge to reach this goal is required and would assist choosing and creation of a reasonable and wise strategy for the sustainable development of the country.

Author Contributions

Conceptualization, K.Z. and A.C.; methodology, K.Z. and V.K.; formal analysis, K.Z.; resources, K.Z.; data curation, K.Z. and J.Š.; writing—original draft preparation, K.Z.; writing—review and editing, K.Z.; supervision, V.K. and A.C.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

This work was supported by the Technology Agency of the Czech Republic, project number TH03020169 and project number TA02020205 and by institutional support from the University of Chemistry and Technology Prague.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. European Association for Coal and Lignite. Eurocoal Statistics, Coal in Europe 2017. Available online: www.eurocoal.eu (accessed on 9 February 2019).
  2. Czech Statistical Office. Czech Republic in International Comparison—(Selected Indicators)-2017. Available online: www.czso.cz (accessed on 2 February 2019).
  3. Grant, T.; Anderson, C.; Hooper, B. Comparative Life Cycle Assessment of Potassium Carbonate and Monoethanolamine Solvents for CO2 Capture from Post Combustion Flue Gases. Int. J. Greenh. Gas Control 2014, 28, 35–44. [Google Scholar] [CrossRef]
  4. Manuilova, A.; Koiwanit, J.; Piewkhaow, L.; Wilson, M.; Chan, C.W.; Tontiwachwuthikul, P. Life Cycle Assessment of Post-Combustion CO2 Capture and CO2-Enhanced Oil Recovery Based on the Boundary Dam Integrated Carbon Capture and Storage Demonstration Project in Saskatchewan. Energy Procedia 2014, 63, 7398–7407. [Google Scholar] [CrossRef] [Green Version]
  5. Koornneef, J.; van Keulen, T.; Faaij, A.; Turkenburg, W. Life Cycle Assessment of a Pulverized Coal Power Plant with Post-Combustion Capture, Transport and Storage of CO2. Int. J. Greenh. Gas Control 2008, 2, 448–467. [Google Scholar] [CrossRef] [Green Version]
  6. Petrakopoulou, F.; Tsatsaronis, G. Can Carbon Dioxide Capture and Storage from Power Plants Reduce the Environmental Impact of Electricity Generation? Energy Fuels 2014, 28, 5327–5338. [Google Scholar] [CrossRef]
  7. Odeh, N.A.; Cockerill, T.T. Life Cycle GHG Assessment of Fossil Fuel Power Plants with Carbon Capture and Storage. Energy Policy 2008, 36, 367–380. [Google Scholar] [CrossRef]
  8. Singh, B.; Strømman, A.H.; Hertwich, E.G. Scenarios for the Environmental Impact of Fossil Fuel Power: Co-Benefits and Trade-Offs of Carbon Capture and Storage. Energy 2012, 45, 762–770. [Google Scholar] [CrossRef]
  9. Clarens, F.; Espí, J.J.; Giraldi, M.R.; Rovira, M.; Vega, L.F. Life Cycle Assessment of CaO Looping versus Amine-Based Absorption for Capturing CO2 in a Subcritical Coal Power Plant. Int. J. Greenh. Gas Control 2016, 46, 18–27. [Google Scholar] [CrossRef]
  10. Hjaila, K.; Baccar, R.; Sarrà, M.; Gasol, C.M.; Blánquez, P. Environmental Impact Associated with Activated Carbon Preparation from Olive-Waste Cake via Life Cycle Assessment. J. Environ. Manag. 2013, 130, 242–247. [Google Scholar] [CrossRef] [PubMed]
  11. Arena, N.; Lee, J.; Clift, R. Life Cycle Assessment of Activated Carbon Production from Coconut Shells. J. Clean. Prod. 2016, 125, 68–77. [Google Scholar] [CrossRef] [Green Version]
  12. Štefanica, J.; Smutná, J.; Kočí, V.; Macháč, P.; Pilař, L. Environmental Gains and Impacts of a CCS Technology—Case Study of Post-Combustion CO2 Separation by Ammonia Absorption. Energy Procedia 2016, 86, 215–218. [Google Scholar] [CrossRef] [Green Version]
  13. Zakuciová, K.; Lapao Rocha, J.; Koci, V. Life Cycle Assessment Overview of Carbon Capture and Storage Technologies. Annu. Int. Conf. Sustain. Energy Environ. Sci. 2016, 84–90. [Google Scholar] [CrossRef]
  14. Pilar, L.; Slouka, P.; Vlček, Z. Technical Report of Project TA02020205; ÚJV Řež, a.s., Řež: Husinec, Czech Republic, 2015. [Google Scholar]
  15. International Organization for Standardisation. IS/ISO 14044 (2006): Environmental Management-Life Cycle Assessment-Requirements and Guidelines; Bureau of Indian Standarts: New Delhi, India, 2006. [Google Scholar]
  16. Hauschild, M.Z.; Rosenbaum, R.K.; Olsen, S.I. Life Cycle Assessment, Theory and Practice; Springer International Publishing AG: Montpellier, France, 2018. [Google Scholar] [CrossRef]
  17. Goedkoop, M.; Heijungs, R.; Huijbregts, M.; De Schryver, A.; Struijs, J.; Van Zelm, R. ReCiPe 2008 First Edition (Version 1.08) Report I: Characterisation; Ministry of foreign Affairs: Rijnstraat, Netherlands, 2013.
  18. Jolliet, O.; Margni, M.; Charles, R.; Humbert, S.; Payet, J.; Rebitzer, G.; Rosenbaum, R. Presemmg a New Meth6d IMPACT 2002+: A New Life Cycle Impact Assessment Methodology. Int. J. Life Cycle Assess 2003, 8, 324–330. [Google Scholar] [CrossRef] [Green Version]
  19. Benini, L.; Mancini, L.; Sala, S.; Schau, E.; Manfredi, S.; Pant, R. Normalisation Method and Data for Environmental Footprints; Office of the European Union: Luxembourg, 2014; Volume 113. [Google Scholar] [CrossRef]
  20. Carvalho, A.; Mimoso, A.F.; Mendes, A.N.; Matos, H.A. From a Literature Review to a Framework for Environmental Process Impact Assessment Index. J. Clean. Prod. 2014, 64, 36–62. [Google Scholar] [CrossRef]
  21. Shen, L.; Patel, M.K. Lca Single Score Analysis of Man-Made Cellulose Fibres. Lenzing. Ber. 2010, 88, 7. [Google Scholar]
  22. CEZ Group. Power Plant Prunerov. Available online: www.cez.cz (accessed on 9 February 2018).
  23. Tzimas, E.; Georgakaki, A.; Peteves, S. Reducing CO2 Emissions from the European Power Generation Sector-Scenarios to 2050. Energy Procedia 2009, 1, 4007–4013. [Google Scholar] [CrossRef]
  24. Vávrová, J.; Štefanica, J.; Hájek, P.; Smejkalová, J. Technical Report of Project TA02020205; ÚJV Řež, a.s., Řež: Husinec, Czech Republic, 2013. [Google Scholar]
  25. Kantová, N.; Holubčík, M.; Jandačka, J.; Čaja, A. Comparison of Particulate Matters Properties from Combustion of Wood Biomass and Brown Coal. Procedia Eng. 2017, 192, 416–420. [Google Scholar] [CrossRef]
  26. Vassilev, S.V.; Vassileva, C.G.; Vassilev, V.S. Advantages and Disadvantages of Composition and Properties of Biomass in Comparison with Coal: An Overview. Fuel 2015, 158, 330–350. [Google Scholar] [CrossRef]
  27. Ministerstvo Zivotniho Prostredi České Republiky. Integrovany Registr Znecistovani. Available online: www.irz.cz (accessed on 8 February 2018).
Figure 1. Case rotative adsorber.
Figure 1. Case rotative adsorber.
Energies 13 02251 g001
Figure 2. System boundaries for Scenario 1.
Figure 2. System boundaries for Scenario 1.
Energies 13 02251 g002
Figure 3. System boundaries for Scenario 2 (differences from Scenario 1 are marked in red).
Figure 3. System boundaries for Scenario 2 (differences from Scenario 1 are marked in red).
Energies 13 02251 g003
Figure 4. Pareto graph for scenario 1.
Figure 4. Pareto graph for scenario 1.
Energies 13 02251 g004
Figure 5. Pareto graph for scenario 2.
Figure 5. Pareto graph for scenario 2.
Energies 13 02251 g005
Figure 6. Comparison of scenarios-climate change.
Figure 6. Comparison of scenarios-climate change.
Energies 13 02251 g006
Figure 7. Comparison of scenarios-terrestrial acidification.
Figure 7. Comparison of scenarios-terrestrial acidification.
Energies 13 02251 g007
Figure 8. Comparison of scenarios- particular matter formation.
Figure 8. Comparison of scenarios- particular matter formation.
Energies 13 02251 g008
Figure 9. Comparison of scenarios -photochemical oxidant formation.
Figure 9. Comparison of scenarios -photochemical oxidant formation.
Energies 13 02251 g009
Table 1. Summary of life cycle assessment (LCA) studies on carbon capture and storage (CCS) technologies, including methods and results. PC, pulverized coal power plant; NGCC, natural gas combined cycle power plant; IGCC, integrated gasification combined cycle cycle power plant; SC-PC, subcritical pulverized coal; SPC-PC, supercritical pulverized coal; GWP, global warming potential; POP, photochemical oxidation potential; AP, acidifying potential; EP, eutrophication potential; PM10, PM-10 equivalents; ADP, abiotic depletion; ODP, ozone layer depletion; HTP, human toxicity; FAETP, freshwater aquatic ecotoxicity; MAETP, marine aquatic ecotoxicity; TET, terrestrial ecotoxicity.
Table 1. Summary of life cycle assessment (LCA) studies on carbon capture and storage (CCS) technologies, including methods and results. PC, pulverized coal power plant; NGCC, natural gas combined cycle power plant; IGCC, integrated gasification combined cycle cycle power plant; SC-PC, subcritical pulverized coal; SPC-PC, supercritical pulverized coal; GWP, global warming potential; POP, photochemical oxidation potential; AP, acidifying potential; EP, eutrophication potential; PM10, PM-10 equivalents; ADP, abiotic depletion; ODP, ozone layer depletion; HTP, human toxicity; FAETP, freshwater aquatic ecotoxicity; MAETP, marine aquatic ecotoxicity; TET, terrestrial ecotoxicity.
ReferencesScopeLCA Software and Database or MethodSignificant LCA Impacts
Koornneef et al., 2008Comparative LCA study of SC-PC and SPC-PC power plants with and without CCS
CO2 capture by MEA absorption
CML 2 baseline 2000 V2.03 SW
EcoInvent database v1.3
ADP, GWP, ODP, HTP, FAETP, MAETP, POP, AP, EP
Odeh and Cockerill, 2008Comparative LCA study of SPC-PC, NGCC, and IGCC power plants with and without CCS
CO2 capture by MEA absorption
SimaPro SW
EcoInvent
GWP
Singh et al., 2012Feasibility study of SC-PC and SPC-PC power plants with and without CO2 capture, FGD, and SCR.
CO2 capture by MEA absorption
EcoIndicator 99According to EcoIndicator 99
Hjaila et al., 2013LCA of AC production from olive waste cakes in TunisiaSimapro SW
CML 2 Baseline 2000
Ecoinvent v 2.2 database
AP, EP
Grant et al., 2014Comparative life cycle assessment of K2CO3 and MEA solvents for CO2 capture from post combustion flue gasesCML 2001 methodology
Human and ecotoxicity based on USETox method
Potassium carbonate solvents improves TET, carcinogen emissions and energy consumption
Manuilova et al., 2014Case study, Boundary Dam Power Station
CO2 capture by MEA absorption
Operational data by Cenovus Energy, Canadian provinces, USA and other countriesGWP, AP, EP, ODP, HTP, FAETP
Petrakopoulou and Tsatsaronis, 2014Comparative LCA study of PC and NGCC power plants with and without CCS
CO2 capture by MEA absorption and chemical looping combustion
EcoIndicator 99According to EcoIndicator 99
Clarens et al., 2016CaO looping vs. MEA based adsorptionReCiPe Midpoint for Europe, v 1.04Reductions in GWP category for CaO looping (73%), conventional MEA (66%), advanced MEA (72%)
Arena et al., 2016LCA of activated carbon production from coconut shellsGaBi 6.0 software
CML-2001databank Ecoinvent 3.0
HTP, AP, GWP
Table 2. Characteristics of power unit without CO2 capture.
Table 2. Characteristics of power unit without CO2 capture.
ParameterValueUnit
Nominal power output250MW
Brown coal production214t/h
Yearly operation6300h
Electricity produced1424MWh/y
Wet flue gases766,045m3/h
Table 3. Input data for the CO2 adsorption process.
Table 3. Input data for the CO2 adsorption process.
ParameterValueUnit
Consumption of fresh activated carbon23kg/h
CO2211t/h
NOx 159kg/h
SO2 119kg/h
Waste heat222MWt
Total energy consumption for CO2 capture23.08MW
Consumption of cooling water9259t/h
NaOH consumption0.305t/h
Table 4. Composition of products after the reaction between flue gas compounds and NaOH.
Table 4. Composition of products after the reaction between flue gas compounds and NaOH.
CompoundValueUnit
Na2SO3235kg/h
Na2SO416.9kg/h
NaCl2.54kg/h
NaF6.67kg/h
NaNO2119kg/h
NaNO3147kg/h
Table 5. Output data from the CO2 adsorption process.
Table 5. Output data from the CO2 adsorption process.
ParameterValueUnit
SO268.6kg/h
NOx13.72kg/h
CO2 exhaust gas18.3t/h
Captured CO2158t/h
Wastewater19.73t/h
Table 6. LCA results for both scenarios.
Table 6. LCA results for both scenarios.
Scenario 1Scenario 2
Environmental Impact CategoriesValues in Category UnitsReCiPe 1.08, Mid-point Normalization, Europe, excl biogenic carbonRelative Contribution in %Values in Category UnitsReCiPe 1.08, Mid-point Normalization, Europe, excl biogenic carbonRelative Contribution in %
ALO (m2a)4730.110.164730.110.26
CC, excl biogenic carbon (kg CO2 eq.)221,00019.7029.2728,0002.506.14
FD (kg oil eq.)49,10031.5046.8149,10031.5077.41
FET (kg 1,4-DB eq.)1.240.110.171.250.120.28
FE (kg P eq.)0.0230.050.080.020.050.13
HT (kg 1,4-DB eq.)1710.290.431710.290.71
IR (U235 eq.)3140.050.073140.050.12
MET (kg 1,4-DB eq.)1.460.170.261.460.170.42
ME (kg N eq.)7.830.78I.152.180.220.53
MD (kg Fe eq.)16.200.020.0316.200.020.06
NLT (m2)0.0140.090.130.010.090.21
PMF (kg PM10 eq.)64.704.346.4525.401.714.20
POF (kg NMVOC eq.)1843.475.1636.300.681.68
TA (kg SO2 eq.)2276.619.821093.187.81
TET (kg 1,4-DB eq.)0.0750.010.010.070.010.02
ULO (m2a)0.0160.000.000.020.000.00
WD (m3)63900.000.0064000.000.00
Sum-67.30100-40.69100
Table 7. Causes of significant environmental impacts in Scenario 2.
Table 7. Causes of significant environmental impacts in Scenario 2.
Scenario 2Brown Coal MiningTransportCO2 Adsorption ProcessThermal Energy for Adsorption Process
Terrestrial acidification (kg SO2 eq.)15.63.6882.37.68
Brown Coal MiningTransportNaOH ProductionWater Consumption
Fossil depletion (t oil eq.)48.101.030.280.59
Table 8. Environmental assessment of activated carbon production.
Table 8. Environmental assessment of activated carbon production.
Environmental Impact CategoriesValues in Category UnitsRelative Contribution in %
Climate change (kg CO2 eq.)6.9898.46
Fossil depletion (kg oil eq.)0.1071.51
Water depletion (m3)0.0020.03
Table 9. Total costs of CCU construction.
Table 9. Total costs of CCU construction.
Cost Estimation for Commercial CCU Unit in EURO
4x reactor40,000
Fittings24,000
Measure appliances14,000
CO2 tank (pressurized)20,000
Electro + regulations12,000
CO2 compression6000
Ventilators4000
Project24,000
Cooling8000
Heating (steam transport)6000
Others + non predictable32,000
Construction40,000
Capital expenditure434,000
New technology x1,7737,800
Table 10. Payback period (simple, not discounted) for CCU.
Table 10. Payback period (simple, not discounted) for CCU.
Expenditures 737,800 EUR
Operational costs 36,890EUR
Captured CO2 1200 t
Cost of CO2 allowance25 EUR/t
Market price of CO2 produced 120 EUR/t
Income 174,000 EUR
Payback period5.38 years

Share and Cite

MDPI and ACS Style

Zakuciová, K.; Štefanica, J.; Carvalho, A.; Kočí, V. Environmental Assessment of a Coal Power Plant with Carbon Dioxide Capture System Based on the Activated Carbon Adsorption Process: A Case Study of the Czech Republic. Energies 2020, 13, 2251. https://doi.org/10.3390/en13092251

AMA Style

Zakuciová K, Štefanica J, Carvalho A, Kočí V. Environmental Assessment of a Coal Power Plant with Carbon Dioxide Capture System Based on the Activated Carbon Adsorption Process: A Case Study of the Czech Republic. Energies. 2020; 13(9):2251. https://doi.org/10.3390/en13092251

Chicago/Turabian Style

Zakuciová, Kristína, Jiří Štefanica, Ana Carvalho, and Vladimír Kočí. 2020. "Environmental Assessment of a Coal Power Plant with Carbon Dioxide Capture System Based on the Activated Carbon Adsorption Process: A Case Study of the Czech Republic" Energies 13, no. 9: 2251. https://doi.org/10.3390/en13092251

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