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Article

Material Flow Analysis of Lithium-Ion Battery Recycling in Europe: Environmental and Economic Implications †

DIATI, Department of Engineering for Environment, Land and Infrastructure, Politecnico di Torino, 10129 Turin, Italy
*
Author to whom correspondence should be addressed.
This paper is an extended version of the abstract published in the proceedings of Corfu 2022 Conference, Corfu, Greece, 15–18 June 2022 (http://generalchemistry.chemeng.ntua.gr/uest/corfu2022/proceedings/XVIII/945.pdf, accessed on 21 March 2023).
Batteries 2023, 9(4), 231; https://doi.org/10.3390/batteries9040231
Submission received: 22 February 2023 / Revised: 30 March 2023 / Accepted: 12 April 2023 / Published: 18 April 2023
(This article belongs to the Special Issue Green and Sustainable Materials for Li-Ion Batteries)

Abstract

:
This study aimed at a quantitative analysis of the material flows associated with End of Life (EoL) lithium-ion batteries’ (LIBs) materials in Europe. The European electric vehicles fleet in 2020 was taken as a case study, assuming a 10-year lifetime for the batteries and that the related EoL LIBs would be processed by existing recycling plants via pyrometallurgy, hydrometallurgy, or their combination in sequence. The economic implications (recycling operative costs compared to the revenues from the sales of the recycled metals) and the environmental performances (CO2 eq. emitted, energy demand and circularity performances) were assessed. Based on the gathered results, the existing European recycling capacity will overlook over 78% of the forecasted EoL LIBs. The treatment efficiencies of the full-scale recycling processes allow for the recovery of over 90% of copper, cobalt, nickel, and manganese, 87% of aluminum, and only 42% of lithium and 35% of iron entering the recycling facilities. In overall, LIBs recycling in 2030 will involve the emission of 3.7 Mt of CO2 eq. and an energy demand of 33.6 GWh. Hydrometallurgy presents the best economic and environmental trade-off compared to other recycling strategies. In conclusion, this study demonstrated that current European LIBs’ recycling infrastructure will be inadequate in the near future and the direction (i.e., hydrometallurgy) that its strengthening should pursue.

1. Introduction

Lithium-ion batteries (LIBs) are a developing technology for energy storage that finds numerous applications from electric vehicles (EVs) to portable electronic devices (laptops, smartphones, tablets, etc.). LIBs are a key flexible option for the success of the energy transition [1], and they stand as a fundamental technology in the decarbonization of transportation and energy systems. Nonetheless, the sustainability of the whole LIBs’ life cycle is strongly dependent on the management of their end-of-life (EoL) stage because they generate hazardous wastes associated with environmental and health safety issues and, on the other hand, represent a resourceful potential mine for secondary raw materials. LIBs’ composition includes several economically valuable elements and critical raw materials (CRMs), whose mining activities are often associated with significant costs and environmental impacts [2]. In details, several LIB components, such as lithium, cobalt, phosphorous, and graphite, are listed as CRMs by the European Commission (EC) [2]. LIB recycling is essential to mitigate raw materials’ shortage and the economic and environmental costs related to their primary extraction. Indeed, current legislations at the European level are targeting LIBs end of life management in order to curb environmental criticalities, requiring separate collection [3] and encouraging strategies to extend LIBs life cycle and close materials loop [4]. Although LIBs recycling is strongly encouraged by several policies [5,6], policies concerning extended producer responsibility represent a particularly important driver for EoL LIBs material, flowing towards scenarios more reliant on recycling strategies [7]. Presently, LIBs’ recycling at full-scale relies on pyrometallurgical and hydrometallurgical processes allow for recovering the most valuable battery components, e.g., the metals present in the electrodes [8], which could potentially replace primary raw materials in the manufacture of electric vehicles [9]. Pyrometallurgical treatments consist of high-temperature reduction processes, characterized by intense energy demand, leading to metallic alloys containing cobalt, iron, nickel, and manganese, while lithium is lost in the residual slags [10]. The phase and morphological transitions that take place at elevated temperature in the controlled atmosphere of pyrometallurgical reactors allow us to decompose the organic components of the spent batteries and mainly purify the metals present in the cathodes as alloy, leaving Li in the reaction slag [11]. Furthermore, the degradation of the organic components present in EoL LIBs, such as binders, electrolyte, and acetylene black, generates toxic gasses emissions, for which the treatment system strongly affects the operative costs of LIBs recycling plants [12]. Hydrometallurgical processes are based on acid leaching followed by the precipitation of valuable metals such as salts or hydroxides, which serve as precursors for the secondary raw materials included in new batteries [8]. Hydrometallurgy is mainly applied at full scale as leaching with sulfuric acid followed by recovery of leached metals through chemical precipitation or electrodeposition [11].
The main drawback from acid leaching processes are the release of harmful compounds, such as Cl2, SO3, and NOx and the generation of acidic waste water [13]. Therefore, recent studies are investigating the possibility of replacing conventional with organic ones, such as citric acid, malic acid, and succinic acid [11].
In this framework, since LIBs’ recycling allows to recover secondary raw materials that can be re-introduced in the battery life cycle, curbing environmental and economic impacts. A virtuous example of materials circularity in the energy sector was posed by Lead batteries recycling. The European collection rate and recycling capacity reached 99% and 95% in the last decade, ensuring closed-loop circularity [14], turning recycled Lead scraps into the major source of lead batteries supply chain [15].
Similarly, the material flow analysis (MFA) of LIBs’ recycling has been gaining increasing attention from the scientific community in recent years (Figure 1). The MFA studies describing LIBs’ recycling published in the last five years (Figure 1A) mostly considered material flows related to EVs’ market, while research on batteries for stationary energy storage [16] or portable electronics batteries [17,18,19] is still limited. This may be due to the fact that electrification of transport system is currently the main LIBs’ application [20]. A relatively low number of studies (Figure 1B) applied MFA to a global perspective [21,22], whereas most studies considered specific geographic regions, e.g., China [23,24,25,26,27,28], South Korea [29], and Thailand [19] in Asia; The United State of America [28,30] and Brazil [31] in the American continent; and Austria [17], The Netherlands [32], Switzerland [16], and the United Kingdom [33] in Europe. Besides, some studies targeted only specific material flows, such as lithium [21,30], cobalt [34], or graphite [26], or specific aspects—e.g., criticality due to raw materials’ shortage and supply risks [34,35] or environmental aspects [16,36].
To our knowledge, a specific study analyzing the material flows related to full-scale LIBs’ recycling across Europe and the associated environmental and economic implications is still missing. The European Environment Agency [37] reported that between 2018 and 2020 the new registrations of EVs in EU-27 increased from 2% to 11% of circulating vehicles, and the forecast for 2021 involves a further increase to 18%. Considering an expected lifetime equal to 10 years for a LIB, the key research question posed by this study is “Will Europe be ready to recycle the EoL LIBs reaching the recycling plants in 2030?” This study has several elements of novelty and objectives: (i) a material flow analysis of the EoL LIBs forecasted in 2030, potentially deriving from the European EVs’ fleet in 2020, and assuming a 10 year lifetime for the batteries; an assessment of (ii) the environmental (accounting CO2 eq. emissions associated to energy needs, and circularity performance indicators), and of (iii) the economic implications of the material flows related to European EoL LIBs’ recycling capacity in 2030, considering the different recycling strategies applied at full-scale.

2. Materials and Methods

2.1. Material Flow Analysis

This study accounted 720,913 EVs registered in Europe (EU-27, Iceland, Norway, and the United Kingdom) in 2020 [37], assuming an expected LIBs’ lifetime equal to 10 years [38], and an average weight per battery equal to 318 kg [39]. Table 1 shows the market shares [40] and LIBs’ compositions (%-wt.) [41] considered in this study. From these data, the amount (t) of materials associated with the European EVs’ fleet in 2020 and the related amount (t) of waste materials reaching the recycling facilities in 2030 have been calculated [31]. The European LIBs’ recycling capacity was assessed based on the current full-scale facilities (Table 2), and on the materials recovery efficiencies of the applied recycling processes (pyrometallurgy and hydrometallurgy) (Table 3) reported by the literature [32]. According to the processes applied in the inventoried European recycling facilities (Table 2), three recycling strategies have been considered in this study: pyrometallurgy, hydrometallurgy, and pyrometallurgy combined with hydrometallurgy. The recycling efficiency associated with pyrometallurgy combined with hydrometallurgy was assumed to be equal to the one of hydrometallurgy (Table 3); their combination allows us to recover lithium and iron, which are usually lost in the slag of pyrometallurgy as a single process [10]. Materials flow analysis (MFA) was performed using STAN2WEB open access software (version 2.6.801, http://www.stan2web.net, accessed on 21 March 2023) developed by Technische Universität of Wien according to the Austrian standard ÖNorm S 2096 (Material flow analysis application in waste management).

2.2. Environmental Analysis

The overall circularity of the material flows’ management and the efficiency of the European recycling infrastructure have been estimated by defining three key performance indicators, as follows. In detail, the recovery rates related to the amount of generated waste (RTOT) and of treated wastes (RTREAT), and the efficiency of materials’ use in the recycling processes (ηMATERIALS) have been calculated according to Equations (1)–(3), where R is the amount of recovered materials, G is the amount of wastes produced, T is the amount of treated waste, and I is the input of reagents and other materials employed in the recycling processes.
R T O T % = R t G t · 100
R T R E A T ( % ) = R t T ( t ) · 100
η M A T E R I A L S ( % ) = R t T t + I ( t ) · 100
Moreover, the environmental consequences of current recycling strategies applied at full scale across Europe have been estimated in terms of Green House Gasses (GHGs) emissions, related to different recycling strategies. Operative parameters of different recycling strategies have been considered as energy consumption, required reagents, and wastes generated by the processes. Their values were obtained from Ecoinvent 3.8 database [46]. The greenhouse gas specific emissions associated with the energy demand of the applied LIBs’ recycling strategies, equal to 110 kg CO2/kWh, have been accounted based on the average European energy mix forecasted for 2030, when the EU-27 energy mix will account for at least 30% of renewable energy sources [47].

2.3. Economic Analysis

The economic analysis assessed the trade-off between the recycling processes’ operative costs and the market values of the recovered material streams (i.e., the revenues). Markets values considered as costs and revenues have been defined according to Ecoinvent 3.8 database. The considered revenues were limited to the sales of the recoverable metals entailed in cathodes and current collectors (0.81 €/kg for aluminum, 3.6 €/kg for copper, 6.75 €/kg for lithium, 10.4 €/kg for cobalt, 1.24 €/kg for manganese, 1.5 €/kg for iron, and 1.0 €/kg for phosphorous). These values were then estimated based on the number of treated materials and recovery efficiency of the recycling processes, as defined in the material flow analysis. The considered operative costs (average for EU-27) were related to energy (0.086 €/kWh) [48], chemicals employed in the recycling treatments (0.19 €/kg for sodium hydroxide, 0.06 €/kg for sulfuric acid, and 0.45 €/kg for lime), and to the landfill fees for the disposed waste (22.0 €/t) [49]. Other costs (mechanical pre-treatments energy demand, labor, maintenance, etc.) were excluded, as they could be assumed as equivalent compared to the recycling treatments [11]. The overall potential revenues and treatment costs have been normalized by the mass of treated materials to compare the different processes.

3. Results

3.1. Material Flow Analysis

This study considered the European EVs’ fleet in 2020, based on the different market shares of commercially available battery chemistries and their compositions, and 229 kt of EoL LIBs are expected by 2030. In detail, 103 kt of NMC622, 55 kt of NMC111, 44 kt of NCA, 23 kt of NMC811, and 4 kt of LFP EoL batteries are foreseen. These also imply 5.7 kt of plastics (polyethylene and polyethylene terephthalate), 34.7 kt of electrolytes (dimethyl carbonate, ethylene carbonate and LiPF6), 6.8 kt of organic binder, 46.9 kt of graphite, 38 kt of copper, 19 kt of aluminum, 5.6 kt of lithium, 9.3 kt of cobalt, 25.5 kt of nickel, 7.6 kt of manganese, 0.5 kt of iron, and 0.3 kt of phosphorous. This study concerned the metals contained in cathodes, holding the majority of EoL LIBs’ economic value [8].
According to the inventory of the treatment plants (Table 2) performed to complete the MFA, European LIBs’ recycling capacity amounts to 48.8 kt, where 56% of input materials (27.3 kt) can be treated by pyrometallurgy, 21% (10.3 kt) can be treated by hydrometallurgy, and 23% (11.2 kt) can be treated by pyrometallurgy followed by hydrometallurgy. The material flows associated with EoL LIBs forecasted for 2030, based on the European EVs’ sales in 2020 and compared to European recycling capacity, are displayed in Figure 2.
Pyrometallurgy is the most applied technology in full scale recycling plants (Table 2). Thereby, it is evident that the potentially recoverable secondary raw materials associated with pyrometallurgy are higher (+26%) compared to hydrometallurgy, and the same happens with material losses. Moreover, it should be noticed the inadequacy of the European LIBs’ recycling infrastructure compared to the waste streams expected in 2030, i.e., almost 230 kt of materials deriving from EoL batteries, is expected to reach EoL stage, and that will correspond to an amount 3.7 times higher than the existing recycling capacity. According to the results of the MFA (Figure 2 and Figure 3), the total forecasted input of recoverable metals (aluminum, copper, cobalt, manganese, iron, lithium, and phosphorous) entailed in cathodes and current collectors of the EoL LIBs entering the European recycling plants in 2030 will be equal to 106,133 t. These materials will be distributed across different facilities, up to the saturation of each plant recycling capacity (Table 2). According to the recovery efficiencies of the recycling processes applied at full scale (Table 3), the amount of recovered materials was estimated as: 3.5 kt of aluminum (87% of the forecasted recycling input), 7.8 kt of copper (96% of the input), 0.5 kt of lithium (42% of the input), 1.8 kt of cobalt (90% of the input), 5.3 kt of Nickel (98% of the input), 1.5 kt of manganese (90% of the input), and 39 t of iron (35% of the input). Most of the recovered metals will derive from pyrometallurgical processes—i.e., 64% of recovered aluminum, 56% of copper and nickel, 54% of cobalt, and 55% of manganese would be obtained through pyrometallurgy. On the other hand, the lowest recovery rates were observed for lithium (42% of the potentially recoverable amount) and iron (35%), which are lost in the slags during pyrometallurgy.
Current LIBs’ recycling infrastructure has been proven effective in metal (lithium, cobalt, manganese, nickel, aluminum, iron, and copper) recycling, as it could potentially recover over 85% of cobalt, nickel, manganese, aluminum, and copper, and about 40% of lithium from the input materials. However, these rates are drastically diminished not only when the inputs to the treatment facilities are accounted for, but instead the amounts of materials are discarded as waste. Since the recycling infrastructure could be able to treat around 20% of EoL LIBs amount, the effective recovery rates will correspond to: 21% of nickel, 20% of copper, 19% of cobalt and manganese, 18% of aluminum, and less than 10% of lithium. Therefore, the bottleneck of LIBs’ recycling is not the low efficiency of material recovery, since from the review of literature they appear to be above 80% for the above-mentioned metals (Table 3). Nonetheless, the lack of hydrometallurgical plants able to recover lithium and iron poses a considerable limitation to ensure full material circularity in the battery sector.

3.2. Environmental Analysis

The obtained values of the circularity indicators and recycling efficiency parameters (Table 4) showed that the recovery rates present a relevant gap when the total amount of generated waste is considered (as in RTOT), rather than the amount of materials entering the treatment plants (as in RTREAT), due to the high efficiency of the processes implemented at full scale and, conversely, the limited capacity of the overall recycling infrastructure. The recovery efficiencies (both RTOT and RTREAT) of lithium and iron will be particularly low (7–9% and 35–42%, respectively) due to the limited number of facilities implementing hydrometallurgical processes in Europe. Particularly, the observed gap between the performances of the recycling infrastructure associated to the input materials (RTREAT) and to the overall EoL materials (RTOT) should clearly indicate how the treatment infrastructure is not adequate to treat the EoL LIBs. Moreover, the efficiency in the use of materials (ηMATERIALS) in the recycling treatments will be particularly low for lithium (8%) and iron (1%), since they are mainly recovered through hydrometallurgy that, compared to pyrometallurgy, require a larger number of reagents for the leaching and recovery phases.
Based on the results of the MFA previously detailed, the overall GHG emissions associated with LIBs recycling in Europe in 2030 (3.7 Mt of CO2 eq.) have been estimated according to the energy demand of different recycling strategies (pre-treatments, pyrometallurgy, and hydrometallurgy) applied at full-scale and to the average carbon footprint of energy production. The main contributor to the total energy demand of LIBs’ recycling will be pyrometallurgy (21.84 GWh), due to its wide application across European plants. However, although almost the same number of materials will be treated by hydrometallurgy and combined pyrometallurgy and hydrometallurgy, the associated GHG emissions would be higher (10.34 GWh) for the combined processes compared to hydrometallurgy (1.46 GWh). These energy demands will entail about 3.7 Mt of CO2 eq., accounting for 2.4 Mt of CO2 eq. due to pyrometallurgy, 0.2 Mt of CO2 eq. due to hydrometallurgy, and 1.1 Mt of CO2 eq. due to combined pyrometallurgy and hydrometallurgy. Comparing these carbon efficiency values, the less emission-intensive option is hydrometallurgy, which is responsible for 16 kg CO2 eq./t of treated material, whereas pyrometallurgy and pyrometallurgy, followed by hydrometallurgy, account for 88 kg CO2 eq./t of treated material and 103 kg CO2 eq./t of treated material, respectively. Moreover, other detrimental environmental consequences could stem from an unproper management of the untreated EoL LIBs exceeding the European recycling capacity, as LIBs’ components present several pollution hazards [50], mainly due to the potential release of inflammable or corrosive substances or potentially toxic metals [51,52,53].

3.3. Economic Analysis

The economic analysis of the material flows involved by LIBs’ recycling was performed considering the revenues derived from the sales of the recovered metals according to their market values (Section 2.3) and considering the recovery efficiencies of current full-scale applied technologies (Table 3), and the costs entailed by the recycling treatments (Section 2.3). Concerning the incomes (Figure 4), 22.6 kt of metals recovered through LIBs’ recycling will correspond in total to 53,600,000 €, mostly due to cobalt (18,800,000 €), copper (27,700,000 €), lithium (3,400,000 €), and aluminum (2,900,000 €). The role of CRMs as cobalt and lithium in the economic analysis should be noticed. According to the output flows of the MFA, cobalt represents only about 9% of the total output. However, because of cobalt’s critical market price, the associated economic benefits entail 35% of the revenues. Nonetheless, lithium (accounting for about 5 wt.% of the streams of recovered materials) holds a share of the revenues, which is limited up to 6% because its market values is still limited, despite the shortage in Europe.
The costs entailed by LIBs’ recycling processes (Figure 5) will be due to energy (particularly for pyrometallurgical processes) (Section 3.2), input materials, and landfill fees. The overall cost due to the energy demand of the full-scale treatment processes amounts to 2,890,000 €, mainly due to the large share of EoL LIBs (65%) treated in facilities applying pyrometallurgy (Table 2). While the number of materials treated by hydrometallurgy (21%) or by the combination of pyrometallurgy and hydrometallurgy (23%) does not differ significantly, the associated energy demand is considerably higher for the latter (about 31% of the 2,890,000 € spent for energy).
The input materials demand has been estimated as 13.3 kt of sodium hydroxide solution (71.5% by pyrometallurgical plants and 28.5% by pyrometallurgical plants with additional hydrometallurgical treatments), 5.3 kt of water (50.9% by pyrometallurgical plants, 13.2% by hydrometallurgical plants, and 35.9% by plants with pyrometallurgical and hydrometallurgical treatments combined), 4.9 kt of sulfuric acid, and 2.5 kt of lime for hydrometallurgical processes.
Consequently, the overall cost of materials required by the recycling processes will amount to 3,900,000 €, with 64% related to NaOH solution and 28% to lime, used in large quantities to precipitate metals from leaching solutions in hydrometallurgical plants. The costs related to landfill fees will be mainly due to the generation of residual non-Fe-Co metals and unrecyclable plastic mix. Specifically, each year, the current state of LIBs recycling infrastructure is expected to generate about 12.4 kt of low value metals scraps (without significant iron or cobalt content), 9 kt of waste plastic mix, and about 8.5 kt of other waste materials. About 700,000 € will account for landfill expenses, mainly due to disposal of non-Fe-Co alloys (entailing 41% of landfilling costs) and plastic mix (30% of landfilling costs).
Overall, considering the whole European LIBs’ recycling infrastructure, the treatment of 48.8 kt of EoL LIBs will require 7,550,000 €, mostly (53%) due to pyrometallurgical plants, while 13% is ascribable to hydrometallurgy processes, and 35% is ascribable to combined pyrometallurgy and hydrometallurgy processes. The specific operating costs and potential revenues to treat a functional unit of 1 t of EoL LIBs have been estimated (Figure 6). The highest revenues are entailed by the plants where a combination of pyrometallurgy and hydrometallurgy is performed (1242 €/t), however this treatment generates the greatest operative costs (230 €/t). Moreover, considering the compromise between operative costs and potential revenues of the single treatments, pyrometallurgical processes, despite needing elevated operative costs (145 €/t), produce limited revenues (1006 €/t), mainly due to the materials loss in the slag phase, whereas hydrometallurgical treatments generate high revenues (1200 €/t) with the lowest operative costs (92 €/t). Eventually, considering the inadequacy of current recycling infrastructure proven in the MFA performed in this study, a wider system to collect and treat waste LIBs is essential. Moreover, according to the performances of existing recycling strategies (recovery efficiencies, energy demands with consequent emissions generation and cost-benefit trade-off), hydrometallurgy represents the best strategy.

4. Conclusions

The existing literature analyzed the material flow analysis of valuable and critical materials across the LIBs’ life cycle, highlighting the technical inadequacy of their recycling when it comes to non-cathodic metals. However, these studies seldom considered the economic and environmental implications of the recovery of secondary raw materials at full-scale in a large context like Europe. The present work aimed to assess the material flows potentially associated to the 229 kt of EoL LIBs reaching the European recycling plants in 2030, deriving from the EVs put into the market in 2020, and considering the treatment capacity of the existing recycling infrastructure. The results of the MFA confirmed the deficit of current European recycling infrastructure, due to the significant (around 80% of forecasted EoL LIBs) surplus that is not possible to treat in existing plants. Overall, the recovery rate of the treated materials is estimated to be over 85% for aluminum, copper, cobalt, manganese, and nickel, and between 35% and 42% for iron and lithium. Despite the high efficiency reached by up-to-date recycling technologies, the recovery of critical and secondary raw materials is still hindered by the wide-spread reliance on pyrometallurgy, applied in over 56% of the European recycling plants, which are not able to recover lithium. In 2030, the whole LIBs recycling infrastructure will imply the emission of 3,700,000 t of CO2 eq. and an energy demand of 33.6 GWh (21.86 GWh required by pyrometallurgical plants, 1.46 GWh by hydrometallurgical facilities, and 10.3 GWh by the ones combining pyrometallurgy and hydrometallurgy). Considering the economic income as the net difference between potential revenues and operative costs, the best performance was presented by hydrometallurgical plants (1108 €/t), followed by plants with pyrometallurgical and hydrometallurgical processes in series (1012 €/t), and at last by pyrometallurgical plants (861 €/t). When considering specific costs and revenues, hydrometallurgy will entail the best trade-off. Indeed, although the potential revenues entailed by the combination of pyrometallurgical and hydrometallurgical treatments in series are the highest ones, considering the operative costs associated with LIBs recycling processes, hydrometallurgy is established as the best solution for battery recycling in terms of economic costs-benefits trade-off. Thereby, in view of the established inadequacy of current European recycling infrastructure, hydrometallurgy, as it is already well-developed at full-scale and is cost-effective, will pose a strategic recycling route for the design of future recycling facility. In conclusion, this study quantitatively demonstrated the inadequacy of current European recycling infrastructure to sustain the mass flows deriving from EVs LIBs expected in 2030. Moreover, hydrometallurgy was identified as the best recycling strategy from economic and environmental viewpoints.

Author Contributions

Conceptualization, M.B. and S.F.; methodology, S.F.; data curation, M.B.; writing—original draft preparation, M.B. and S.F.; writing—review and editing, S.F.; supervision, S.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

All data used in the research are specified in the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kordkheili, R.A.; Mohammadi, M. Smart Scheduling and Economic Analysis of Electric Vehicles for Peak Load Shaving Considering Renewable Energy Resources. In Proceedings of the 2015 Smart Grid Conference (SGC), Tehran, Iran, 22–23 December 2015; pp. 115–121. [Google Scholar] [CrossRef]
  2. European Commission Study on the EU’s List of Critical Raw Materials: Executive Summary; Publications Office: Bruxelles, Brussels, 2020.
  3. European Council Directive 2006/66/EC of the European Parliament and of the Council of 6 September 2006 on Batteries and Accumulators and Waste Batteries and Accumulators and Repealing Directive 91/157/EEC. Off. J. Eur. Union 2006, L 266, 1–14.
  4. European Commission Identifying Barriers to Innovation. Available online: https://research-and-innovation.ec.europa.eu/law-and-regulations/ensuring-eu-legislation-supports-innovation/identifying-barriers_en (accessed on 8 March 2023).
  5. Kurdve, M.; Zackrisson, M.; Johansson, M.I.; Ebin, B.; Harlin, U. Considerations When Modelling Ev Battery Circularity Systems. Batteries 2019, 5, 40. [Google Scholar] [CrossRef]
  6. Olsson, L.; Fallahi, S.; Schnurr, M.; Diener, D.; van Loon, P. Circular Business Models for Extended Ev Battery Life. Batteries 2018, 4, 57. [Google Scholar] [CrossRef]
  7. Albertsen, L.; Richter, J.L.; Peck, P.; Dalhammar, C.; Plepys, A. Circular Business Models for Electric Vehicle Lithium-Ion Batteries: An Analysis of Current Practices of Vehicle Manufacturers and Policies in the EU. Resour. Conserv. Recycl. 2021, 172, 105658. [Google Scholar] [CrossRef]
  8. Mossali, E.; Picone, N.; Gentilini, L.; Rodrìguez, O.; Pérez, J.M.; Colledani, M. Lithium-Ion Batteries towards Circular Economy: A Literature Review of Opportunities and Issues of Recycling Treatments. J. Environ. Manag. 2020, 264, 110500. [Google Scholar] [CrossRef] [PubMed]
  9. Harper, G.; Sommerville, R.; Kendrick, E.; Driscoll, L.; Slater, P.; Stolkin, R.; Walton, A.; Christensen, P.; Heidrich, O.; Lambert, S.; et al. Recycling Lithium-Ion Batteries from Electric Vehicles. Nature 2019, 575, 75–86. [Google Scholar] [CrossRef]
  10. Zhang, J. Pyrometallurgy-Based Applications in Spent Lithium-Ion Battery Recycling. In Nano Technology for Battery Recycling, Remanufacturing, and Reusing; Elsevier: Amsterdam, The Netherlands, 2022; pp. 171–182. [Google Scholar]
  11. Leal, V.M.; Ribeiro, J.S.; Coelho, E.L.D.; Freitas, M.B.J.G. Review: Recycling of Spent Lithium-Ion Batteries as a Sustainable Solution to Obtain Raw Materials for Different Applications. J. Energy Chem. 2022, 79, 118–134. [Google Scholar] [CrossRef]
  12. Jin, S.; Mu, D.; Lu, Z.; Li, R.; Liu, Z.; Wang, Y.; Tian, S.; Dai, C. A Comprehensive Review on the Recycling of Spent Lithium-Ion Batteries: Urgent Status and Technology Advances. J. Clean. Prod. 2022, 340, 130535. [Google Scholar] [CrossRef]
  13. Sun, L.; Qiu, K. Organic Oxalate as Leachant and Precipitant for the Recovery of Valuable Metals from Spent Lithium-Ion Batteries. Waste Manag. 2012, 32, 1575–1582. [Google Scholar] [CrossRef]
  14. Davidson, A.J.; Binks, S.P.; Gediga, J. Lead Industry Life Cycle Studies: Environmental Impact and Life Cycle Assessment of Lead Battery and Architectural Sheet Production. Int. J. Life Cycle Assess. 2016, 21, 1624–1636. [Google Scholar] [CrossRef]
  15. Zhang, W.; Yang, J.; Wu, X.; Hu, Y.; Yu, W.; Wang, J.; Dong, J.; Li, M.; Liang, S.; Hu, J.; et al. A Critical Review on Secondary Lead Recycling Technology and Its Prospect. Renew. Sustain. Energy Rev. 2016, 61, 108–122. [Google Scholar] [CrossRef]
  16. Vandepaer, L.; Cloutier, J.; Bauer, C.; Amor, B. Integrating Batteries in the Future Swiss Electricity Supply System: A Consequential Environmental Assessment. J. Ind. Ecol. 2019, 23, 709–725. [Google Scholar] [CrossRef]
  17. Nigl, T.; Schwarz, T.E.; Walch, C.; Baldauf, M.; Rutrecht, B.; Pomberger, R. Characterisation and Material Flow Analysis of End-of-Life Portable Batteries and Lithium-Based Batteries in Different Waste Streams in Austria. Waste Manag. Res. 2020, 38, 649–659. [Google Scholar] [CrossRef] [PubMed]
  18. Apalkova, V.; Tsyganov, S.; Chernytska, T.; Meshko, N.; Tsyganova, N. Evaluating the Economic and Ecological Effects of Investment Projects: A New Model and Its Application to Smartphone Manufacturing in Europe. Investig. Manag. Financ. Innov. 2021, 18, 252–265. [Google Scholar] [CrossRef]
  19. Arain, A.L.; Neitzel, R.L.; Nambunmee, K.; Hischier, R.; Jindaphong, S.; Austin-Breneman, J.; Jolliet, O. Material Flow, Economic and Environmental Life Cycle Performances of Informal Electronic Waste Recycling in a Thai Community. Resour. Conserv. Recycl. 2022, 180, 106129. [Google Scholar] [CrossRef]
  20. Rajaeifar, M.A.; Ghadimi, P.; Raugei, M.; Wu, Y.; Heidrich, O. Challenges and Recent Developments in Supply and Value Chains of Electric Vehicle Batteries: A Sustainability Perspective. Resour. Conserv. Recycl. 2022, 180, 106144. [Google Scholar] [CrossRef]
  21. Ziemann, S.; Müller, D.B.; Schebek, L.; Weil, M. Modeling the Potential Impact of Lithium Recycling from EV Batteries on Lithium Demand: A Dynamic MFA Approach. Resour. Conserv. Recycl. 2018, 133, 76–85. [Google Scholar] [CrossRef]
  22. Dunn, J.; Slattery, M.; Kendall, A.; Ambrose, H.; Shen, S. Circularity of Lithium-Ion Battery Materials in Electric Vehicles. Environ. Sci. Technol. 2021, 55, 5189–5198. [Google Scholar] [CrossRef]
  23. Wang, Y.; Ge, J. Potential of Urban Cobalt Mines in China: An Estimation of Dynamic Material Flow from 2007 to 2016. Resour. Conserv. Recycl. 2020, 161, 104955. [Google Scholar] [CrossRef]
  24. Yu, Y.; Mao, J.; Chen, X. Comparative Analysis of Internal and External Characteristics of Lead-Acid Battery and Lithium-Ion Battery Systems Based on Composite Flow Analysis. Sci. Total Environ. 2020, 746, 140763. [Google Scholar] [CrossRef]
  25. Liu, W.; Liu, W.; Li, X.; Liu, Y.; Ogunmoroti, A.E.; Li, M.; Bi, M.; Cui, Z. Dynamic Material Flow Analysis of Critical Metals for Lithium-Ion Battery System in China from 2000–2018. Resour. Conserv. Recycl. 2021, 164, 105122. [Google Scholar] [CrossRef]
  26. Rui, X.; Geng, Y.; Sun, X.; Hao, H.; Xiao, S. Dynamic Material Flow Analysis of Natural Graphite in China for 2001-2018. Resour. Conserv. Recycl. 2021, 173, 105732. [Google Scholar] [CrossRef]
  27. Yang, H.; Song, X.; Zhang, X.; Lu, B.; Yang, D.; Li, B. Uncovering the In-Use Metal Stocks and Implied Recycling Potential in Electric Vehicle Batteries Considering Cascaded Use: A Case Study of China. Environ. Sci. Pollut. Res. 2021, 28, 45867–45878. [Google Scholar] [CrossRef] [PubMed]
  28. Shafique, M.; Rafiq, M.; Azam, A.; Luo, X. Material Flow Analysis for End-of-Life Lithium-Ion Batteries from Battery Electric Vehicles in the USA and China. Resour. Conserv. Recycl. 2022, 178, 106061. [Google Scholar] [CrossRef]
  29. Kim, H.; Jang, Y.-C.; Hwang, Y.; Ko, Y.; Yun, H. End-of-Life Batteries Management and Material Flow Analysis in South Korea. Front. Environ. Sci. Eng. 2018, 12, 3. [Google Scholar] [CrossRef]
  30. Miatto, A.; Reck, B.K.; West, J.; Graedel, T.E. The Rise and Fall of American Lithium. Resour. Conserv. Recycl. 2020, 162, 105034. [Google Scholar] [CrossRef]
  31. Castro, F.D.; Cutaia, L.; Vaccari, M. End-of-Life Automotive Lithium-Ion Batteries (LIBs) in Brazil: Prediction of Flows and Revenues by 2030. Resour. Conserv. Recycl. 2021, 169, 105522. [Google Scholar] [CrossRef]
  32. Tang, C.; Sprecher, B.; Tukker, A.; Mogollón, J.M. The Impact of Climate Policy Implementation on Lithium, Cobalt and Nickel Demand: The Case of the Dutch Automotive Sector up to 2040. Resour. Policy 2021, 74, 102351. [Google Scholar] [CrossRef]
  33. Kamran, M.; Raugei, M.; Hutchinson, A. A Dynamic Material Flow Analysis of Lithium-Ion Battery Metals for Electric Vehicles and Grid Storage in the UK: Assessing the Impact of Shared Mobility and End-of-Life Strategies. Resour. Conserv. Recycl. 2021, 167, 105412. [Google Scholar] [CrossRef]
  34. Baars, J.; Domenech, T.; Bleischwitz, R.; Melin, H.E.; Heidrich, O. Circular Economy Strategies for Electric Vehicle Batteries Reduce Reliance on Raw Materials. Nat. Sustain. 2021, 4, 71–79. [Google Scholar] [CrossRef]
  35. Bobba, S.; Carrara, S.; Huisman, J.; Mathieux, F.; Pavel, C. Critical Raw Materials for Strategic Technologies and Sectors in the EU—A Foresight Study; European Commission: Brussels Belgium, 2020; ISBN 9789276153375. [Google Scholar]
  36. Sambamurthy, S.; Raghuvanshi, S.; Sangwan, K.S. Environmental Impact of Recycling Spent Lithium-Ion Batteries. Procedia CIRP 2021, 98, 631–636. [Google Scholar] [CrossRef]
  37. EEA New Registrations of Electric Vehicles in Europe. Available online: https://www.eea.europa.eu/ims/new-registrations-of-electric-vehicles (accessed on 22 February 2022).
  38. Chen, M.; Ma, X.; Chen, B.; Arsenault, R.; Karlson, P.; Simon, N.; Wang, Y. Recycling End-of-Life Electric Vehicle Lithium-Ion Batteries. Joule 2019, 3, 2622–2646. [Google Scholar] [CrossRef]
  39. Iclodean, C.; Varga, B.; Burnete, N.; Cimerdean, D.; Jurchiş, B. Comparison of Different Battery Types for Electric Vehicles. IOP Conf. Ser. Mater. Sci. Eng. 2017, 252, 012058. [Google Scholar] [CrossRef]
  40. Statista Market Share of Different Types of Electric Vehicles Cathode Chemistries in 2020 with a Forecast for 2025 through 2050 2021. Available online: https://www.statista.com/statistics/1248519/distribution-of-different-electric-vehicle-batteries-on-the-global-market/ (accessed on 21 March 2023).
  41. Gaines, L.; Richa, K.; Spangenberger, J. Key Issues for Li-Ion Battery Recycling. MRS Energy Sustain. 2018, 5, E14. [Google Scholar] [CrossRef]
  42. Larouche, F.; Tedjar, F.; Amouzegar, K.; Houlachi, G.; Bouchard, P.; Demopoulos, G.P.; Zaghib, K. Progress and Status of Hydrometallurgical and Direct Recycling of Li-Ion Batteries and Beyond. Materials 2020, 13, 801. [Google Scholar] [CrossRef] [PubMed]
  43. Danino-Perraud, R. The Recycling of Lithium-Ion Batteries: A Strategic Pillar for the European Battery Alliance; Laboratoire d’Economie: d’Orleans, France, 2020; ISBN 9791037301352. [Google Scholar]
  44. Winslow, K.M.; Laux, S.J.; Townsend, T.G. A Review on the Growing Concern and Potential Management Strategies of Waste Lithium-Ion Batteries. Resour. Conserv. Recycl. 2018, 129, 263–277. [Google Scholar] [CrossRef]
  45. Romare, M.; Dahllöf, L. The Life Cycle Energy Consumption and Greenhouse Gas Emissions from Lithium-Ion Batteries a Study with Focus on Current Technology and Batteries for Ligh-Duty Vehicles; Swedish Environmental Research Institute: Stockholm, Sweden, 2017; ISBN 978-91-88319-60-9. [Google Scholar]
  46. Ecoinvent v3.8—Ecoinvent. Available online: https://ecoinvent.org/the-ecoinvent-database/data-releases/ecoinvent-3-8/ (accessed on 8 March 2023).
  47. IEA Share of Energy Consumption from Renewable Sources in Europe. Available online: https://www.eea.europa.eu/ims/share-of-energy-consumption-from (accessed on 6 December 2022).
  48. Eurostat. Electricity Prices for Non-Household Consumers—bi-Annual Data (from 2007 Onwards). 2023. Available online: https://ec.europa.eu/eurostat/databrowser/view/nrg_pc_205/default/table?lang=en (accessed on 21 March 2023).
  49. Statista Landfill Tax in Europe 2017. Available online: https://www.statista.com/statistics/986324/landfill-tax-in-europe/ (accessed on 25 February 2022).
  50. Mrozik, W.; Rajaeifar, M.A.; Heidrich, O.; Christensen, P. Environmental Impacts, Pollution Sources and Pathways of Spent Lithium-Ion Batteries. Energy Environ. Sci. 2021, 14, 6099–6121. [Google Scholar] [CrossRef]
  51. Kayla Kilgo, M.; Anctil, A.; Kennedy, M.S.; Powell, B.A. Metal Leaching from Lithium-Ion and Nickel-Metal Hydride Batteries and Photovoltaic Modules in Simulated Landfill Leachates and Municipal Solid Waste Materials. Chem. Eng. J. 2022, 431, 133825. [Google Scholar] [CrossRef]
  52. Morrow, H. Environmental and Human Health Impact Assessments of Battery Systems. In Industrial Chememestry Librrary; Elsevier: Amsterdam, The Netherlands, 2001; Volume 10, pp. 1–34. [Google Scholar] [CrossRef]
  53. Lisbona, D.; Snee, T. A Review of Hazards Associated with Primary Lithium and Lithium-Ion Batteries. Process. Saf. Environ. Prot. 2011, 89, 434–442. [Google Scholar] [CrossRef]
Figure 1. Overview of recent (2018–September 2022) literature studies about material flow analysis for LIBs’ recycling clustered by (A) battery applications and (B) geographical boundaries.
Figure 1. Overview of recent (2018–September 2022) literature studies about material flow analysis for LIBs’ recycling clustered by (A) battery applications and (B) geographical boundaries.
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Figure 2. Material flow analysis of European electric vehicles fleet that will reach end of life in 2030 and performance of European LIBs recycling (data are expressed in k tons) (I: input flow, E: exit flow).
Figure 2. Material flow analysis of European electric vehicles fleet that will reach end of life in 2030 and performance of European LIBs recycling (data are expressed in k tons) (I: input flow, E: exit flow).
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Figure 3. Amounts of potentially recoverable metals (t) entailed in LIBs’ cathodes and current collectors associated to European EVs’ fleet in 2020.
Figure 3. Amounts of potentially recoverable metals (t) entailed in LIBs’ cathodes and current collectors associated to European EVs’ fleet in 2020.
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Figure 4. Potential incomes (million €) associated with the market value of the secondary raw materials involved by LIBs’ recycling in 2030 (CC: current collector).
Figure 4. Potential incomes (million €) associated with the market value of the secondary raw materials involved by LIBs’ recycling in 2030 (CC: current collector).
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Figure 5. Costs (million €) associated to the material flows deriving from LIBs’ recycling in 2030.
Figure 5. Costs (million €) associated to the material flows deriving from LIBs’ recycling in 2030.
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Figure 6. Comparison between operative costs and potential revenues of different LIBs’ recycling strategies.
Figure 6. Comparison between operative costs and potential revenues of different LIBs’ recycling strategies.
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Table 1. Market shares and compositions of the LIBs (identified by the different cathodes) considered in this study (CC: current collector; DMC: dimethyl carbonate; EC: ethylene carbonate; LFP: lithium iron phosphate; NCA: nickel cobalt aluminum; NMC: nickel manganese cobalt; PVDF: polyvinylidene fluoride; PE: polyethylene; PET: polyethylene terephthalate) [40,41].
Table 1. Market shares and compositions of the LIBs (identified by the different cathodes) considered in this study (CC: current collector; DMC: dimethyl carbonate; EC: ethylene carbonate; LFP: lithium iron phosphate; NCA: nickel cobalt aluminum; NMC: nickel manganese cobalt; PVDF: polyvinylidene fluoride; PE: polyethylene; PET: polyethylene terephthalate) [40,41].
BatteryLFPNCANMC 111NMC 622NMC 811
Market Share2%19%24%45%10%
Composition (%-wt)PET0.4%0.3%0.3%0.3%0.4%
PE0.2%0.3%0.3%0.3%0.3%
Electrolyte DMC9.3%6.3%6.2%6.3%7.2%
Electrolyte EC9.4%6.3%6.2%6.3%7.2%
Electrolyte LiPF63.3%2.3%2.2%2.2%2.6%
Al (CC)7.5%8.4%8.2%8.4%8.0%
Cu (CC)14.5%16.9%16.4%16.8%15.7%
Binder PVDF2.7%2.9%2.9%2.9%3.6%
Carbon black2.2%2.1%2.3%2.1%1.7%
Graphite16.6%22.0%19.0%20.7%20.6%
Li1.4%2.2%2.7%2.5%2.4%
Co-2.8%6.9%3.8%1.9%
Ni-14.9%6.9%11.5%14.9%
Mn --6.4%3.6%1.7%
Al-0.4%---
Fe11.4%----
P6.3%----
O13.1%10.1%11.2%10.4%10.2%
Table 2. Inventory of European LIBs’ recycling capacity (n.s.: not specified).
Table 2. Inventory of European LIBs’ recycling capacity (n.s.: not specified).
CountryCompanyPyrometallurgy
(t/y)
Hydrometallurgy (t/y)Reference
BelgiumUmicore70007000[42,43,44]
FinlandAkkuser4000-[43]
FranceSNAM300-[42,43,44]
Recupyl--[8,43,44]
Euro-dieuze-200[43]
Eramet20,000-[43]
GermanyAccurec GmBH40004000[8,42]
Duesendeld3000-[43]
Redux-10,000[42]
Lithorec-n.s.[8]
SpainPilagest--[45]
SwedenuRecycle--[43]
SwitzerlandBatrec Industrie AG-200[8,44]
United KingdomAEA Technology-n.s.[8,42,44]
Table 3. Recovery efficiencies achieved by different recycling technologies [8,9,10,11,12,38,42,44].
Table 3. Recovery efficiencies achieved by different recycling technologies [8,9,10,11,12,38,42,44].
Target ElementPyrometallurgyHydrometallurgy
lithium-95% ± 7.0%
cobalt86% ± 15.0%95% ± 5.8%
nickel98% ± 1.0%97% ± 3.2%
manganese88% ± 4.0%91% ± 19.7%
aluminum99%71% ± 31.1%
iron-80% ± 20.9%
copper96%95% ± 11.2%
Table 4. Circularity indicators and recycling efficiency parameters (RTOT: amount of generated waste; RTREAT: number of treated wastes; ηMATERIALS: efficiency of materials use).
Table 4. Circularity indicators and recycling efficiency parameters (RTOT: amount of generated waste; RTREAT: number of treated wastes; ηMATERIALS: efficiency of materials use).
AlCuLiCoMnNiFeP
RTOT19%20%9%19%21%19%7%19%
RTREAT87%96%42%90%98%90%35%87%
ηMATERIALS38%58%8%25%49%21%1%38%
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Bruno, M.; Fiore, S. Material Flow Analysis of Lithium-Ion Battery Recycling in Europe: Environmental and Economic Implications. Batteries 2023, 9, 231. https://doi.org/10.3390/batteries9040231

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Bruno M, Fiore S. Material Flow Analysis of Lithium-Ion Battery Recycling in Europe: Environmental and Economic Implications. Batteries. 2023; 9(4):231. https://doi.org/10.3390/batteries9040231

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Bruno, Martina, and Silvia Fiore. 2023. "Material Flow Analysis of Lithium-Ion Battery Recycling in Europe: Environmental and Economic Implications" Batteries 9, no. 4: 231. https://doi.org/10.3390/batteries9040231

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