
The convergence of additive manufacturing (AM), sustainability, and innovation holds significant importance within the framework of Industry 4.0. This article examines the environmentally friendly and sustainable aspects of AM, more commonly referred to as 3D printing, a cutting-edge technology. It describes the fundamentals of AM in addition to its diverse materials, processes, and applications. This paper demonstrates how several 3D printing techniques can revolutionize sustainable production by examining their environmental impacts. The properties, applications, and challenges of sustainable materials, such as biodegradable polymers and recyclable plastics, are thoroughly examined. Additionally, the research explores the implications of 3D printing in domains including renewable energy component fabrication, water and wastewater treatment, and environmental monitoring. In addition, potential pitfalls and challenges associated with sustainable 3D printing are examined, underscoring the criticality of continuous research and advancement in this domain. To effectively align sustainability goals with functional performance requirements, it is imperative to address complexities within fused deposition modeling (FDM) printing processes, including suboptimal bonding and uneven fiber distribution, which can compromise the structural integrity and durability of biodegradable materials. Ongoing research and innovation are essential to overcome these challenges and enhance the viability of biodegradable FDM 3D printing materials for broader applications.
Citation: Muhammad Ali Saqib, Muhammad Sohail Abbas, Hiroyuki Tanaka. Sustainability and innovation in 3D printing: Outlook and trends[J]. Clean Technologies and Recycling, 2024, 4(1): 1-21. doi: 10.3934/ctr.2024001
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The convergence of additive manufacturing (AM), sustainability, and innovation holds significant importance within the framework of Industry 4.0. This article examines the environmentally friendly and sustainable aspects of AM, more commonly referred to as 3D printing, a cutting-edge technology. It describes the fundamentals of AM in addition to its diverse materials, processes, and applications. This paper demonstrates how several 3D printing techniques can revolutionize sustainable production by examining their environmental impacts. The properties, applications, and challenges of sustainable materials, such as biodegradable polymers and recyclable plastics, are thoroughly examined. Additionally, the research explores the implications of 3D printing in domains including renewable energy component fabrication, water and wastewater treatment, and environmental monitoring. In addition, potential pitfalls and challenges associated with sustainable 3D printing are examined, underscoring the criticality of continuous research and advancement in this domain. To effectively align sustainability goals with functional performance requirements, it is imperative to address complexities within fused deposition modeling (FDM) printing processes, including suboptimal bonding and uneven fiber distribution, which can compromise the structural integrity and durability of biodegradable materials. Ongoing research and innovation are essential to overcome these challenges and enhance the viability of biodegradable FDM 3D printing materials for broader applications.
In the past few decades, the demand for lithium-ion batteries (LIBs) has increased sharply. According to a recent analysis [1], the global LIB market size is expected to grow at a compound annual growth rate (CAGR) of 13.0% and reach USD 87.5 billion by 2027. The market growth can be attributed to the growing demand for portable consumer electronics and electric vehicles (EVs). Due to their lightweight, high energy density, long cycle, and low self-discharge rate, LIBs have been used extensively in consumer electronics such as smartphones, laptops, and digital cameras. In 2020, consumer electronics was the most dominant LIB market segment with a 36.1% global market share [2]. After consumer electronics, the automotive industry is the most revenue-generating segment in the global LIB market. Globally, the automotive segment accounted for 17.6% of the total revenue in 2019 [1]. However, the demand for LIBs in the automotive industry is likely to surge in the next few decades due to recent movements against climate change. New environmental regulations and government subsidies have spurred restructuring of the technology and manufacturing processes employed by the auto industry with the aim of accommodating EV manufacturing. In January 2021, General Motors, a giant automaker company in the United States, announced that the company would sell only zero-emission vehicles by 2035. Other large automakers like Ford are spending billions of dollars on introducing battery driven EVs to the market [3]. LIBs are currently the dominant battery technology for EVs [4], and are predicted to remain so for the foreseeable future. Due to the significant market demand, LIB production is increasing at a phenomenal rate. The global LIB production capacity is expected to grow from 455 GWh in 2020 to 1447 GWh in 2025, at a CAGR of 26%. However, as of 2020, China alone accounts for 77% of total LIB production capacity [5]. The near-monopolistic supply creates potential supply disruption risks and vulnerability to the rest of the world. Moreover, an upscaling of LIB production will also increase the burden on the geological reserves of metals (such as cobalt, lithium, manganese, and nickel) found in a LIB [6]. A study by Yan et al. [7] indicated potential supply risk and shortages of lithium in the 2030-time frame. The same has been predicted for cobalt and nickel [8]. However, value recovery from spent LIBs is a promising strategy for reducing the gap between supply and demand for LIB materials. A lifespan of approximately ten years is expected for LIBs in automotive applications [9]. Globally, 700,000 metric tons of LIBs are expected to reach the end of their useful life by the end of 2025 [10]. Recovering valuable metals from numerous spent batteries can be an essential measure in mitigating future supply risks and reducing the consumption rate of geological reserves.
A LIB is composed of four main components: cathode (positive electrode), anode (negative electrode), separator, and electrolyte (Figure 1). The cathode is composed of aluminum foil coated with a metal oxide layer. Similarly, the anode is composed primarily of graphite, binder, and additives coated on copper foil. These two electrodes are isolated by a separator, which consists of microporous polymeric materials. The separator is moistened with electrolytes, allowing the flow of lithium ions between the cathode and anode. The electrolyte is a lithium salt in the organic solvent, which is harmful to the environment. If the organic electrolyte and heavy metals in LIBs are exposed to the environment without suitable treatment, they may cause serious soil and land pollution [12]. In contrast, the cathode material in a LIB is rich in valuable metals, including critical materials such as cobalt, lithium, manganese, and nickel. The intensity of these raw materials varies depending on the cathode chemistry. Table 1 provides a brief overview of some popular chemistries that are used to develop cathode materials. According to a Roskill report [13], LCO type batteries dominate the current end-of-life (EOL) LIB market due to their long-standing applications in portable electronics. The forecast suggests that the share of LCO batteries will remain almost constant in the future, while the NMC chemistry will continue to increase in share due to its dominant applications in the EV industry. LFP is projected to be the most common cathode material reaching the end of life after 2024.
Cathode material | Chemistry | Raw material cost ($/kg) | Energy density of LIB cells (Whkg−1) |
Stability/ Safety |
Lifetime | Applications |
LCO (Lithium Cobalt Oxide) | LiCoO2 | 36 | 200 | Low | Poor | Mobile phones, laptops, camcorders |
NMC (Lithium Nickel Manganese Cobalt) | LiNi1/3 Mn1/3 CO1/3O2 (NMC111) | 19 | 130–241 | Low | Good | Electric vehicles (GM, Ford, Volkswagen, Toyota, Hyundai), power tools, e-bikes, energy storage systems |
LiNi0.6 Mn0.2 CO0.2O2 (NMC622) | 16–19 | 130–241 | Med | Good | ||
LiNi0.8 Mn0.1 CO0.1O2 (NMC811) | 16 | 130–241 | Med | Good | ||
LMO (Lithium Manganese Oxide) | LiMn2O4 | 5 | 150 | Med-High | Poor | Electric vehicles (e.g., Nissan Leaf, Renault Zoe, BMW), power tools, medical devices, e-bikes, e-scooters |
LFP (Lithium Iron Phosphate) | LiFePO4 | 6 | 120–140 | High | Good | Electric vehicles (Chinese and early US cars), electric buses, power tools, utility vehicles, lead-acid replacement |
NCA (Lithium Nickel Cobalt Aluminum Oxide) | LiNixCoyAlzO2 | 20 | 236–260 | Med | Poor-Good | Electric vehicles (e.g., Tesla), stationary applications, laptops, medical devices, e-scooters |
LIB cathodes have been the major target for recycling due to their critical material content and high economic value. A LIB cathode contains lithium, cobalt, manganese, and nickel, depending on the cathode type, as shown in Table 1. Proper recovery of these valuable materials could enhance environmental sustainability by reducing energy consumption, water consumption, and SOx emissions by 82%, 77%, and 91%, respectively, compared with the virgin-production levels of these critical materials [21,22]. Moreover, cathodes constitute the highest cost of EV LIB cells (i.e., 42–50% [22]), representing an economic incentive to recycle [23].
The state-of-the-art recycling technologies can be classified into three main categories: direct recycling, pyrometallurgy, and hydrometallurgy. Direct recycling is the recovery, regeneration, and reuse of battery components directly without breaking down the chemical structure. Consequently, the recovered materials are reusable with minimum treatment. The pyrometallurgy technique uses high temperatures to reduce the oxides present in the cathode material to their metallic form. A mixed alloy of metals is generated by the pyrometallurgical process, and the metals can be separated through hydrometallurgical refining. The hydrometallurgy technique uses mineral or organic acids to dissolve the metal ions from the cathode material into an aqueous solution. Different separation techniques such as solvent extraction, chemical precipitation, and ion exchange are used to purify the individual metals from the leachate solution [24].
However, recycling is not the only available for a spent LIB. If a battery is in good shape and requires no further treatment, then this battery may be suitable for reuse. In some cases, reuse is impossible due to the loss in the capacity below a specific threshold. For example, a spent LIB collected from an EV may not be reused if it loses more than 20% of its capacity after the first use [25]. In those scenarios, the EOL battery may be used in other applications outside the automotive industry, but may be subjected to a refurbishment process before its second use. Recycling should be the last option, as it requires extensive chemicals and/or energy to recover value at the materials level, which increases the cost and environmental burden. Therefore, a spent LIB should be carefully inspected to identify the most favorable recovery option.
The number of publications in the field of spent LIB recovery has grown steadily in recent years. As the battery chemistry and relevant technologies are changing rapidly, this paper reviews recent articles (published between 2014 and 2021) and older articles are excluded from this investigation. Section 2 shows a detailed review of different LIB recovery technologies, their commercial applications, and the advantages and disadvantages of each method. Section 3 shows the economic and environmental impacts of these technologies and the associated reverse supply chain optimization strategies for maximizing the economic and environmental benefits. In addition, section 4 summarizes the key challenges and future work for sustainable value recovery from spent LIBs.
Repurposing, direct recycling, pyrometallurgical processing, and hydrometallurgical processing are the most common methods of LIB recovery. Figure 2 shows a general flowsheet of these four LIB recovery pathways. To avoid the risk of fire and explosion, spent LIBs are discharged, as cutting cell cases may result in self-ignition due to internal short circuits (cathode and anode come into contact) [26]. Dismantling and skinning may occur, followed by crushing the components into smaller pieces for materials recycling [27,28]. Afterward, direct recycling, pyrometallurgy, and/or hydrometallurgy are employed for recycling of the spent LIBs.
LIBs from EOL EVs may retain 70–80% of the original capacity and can be directly reused in EVs (i.e., refurbishment) or repurposed for grid energy storage and other niche applications for an additional 10 years before eventually being recycled [29,30,31,32]. Therefore, spent LIBs should be tested for their state of health to determine reusability. Refurbishment operations include testing, disassembly, diagnosis on different product/component levels (i.e., pack, module, or cell), reconfiguration based on the second-life application, and reassembly.
Disassembly Planning is an essential step in the recovery process of spent LIBs. The EverBatt model developed by Argonne National Laboratory estimated that disassembly could constitute the largest cost in LIB recycling [20,33]. The battery system can be disassembled up to battery cells for reuse or recycling. Figure 3 shows the general structure of a LIB pack.
Due to the high costs of disassembly, disassembly planning has emerged as an essential research topic in recent decades. Alfaro and Ramirez [34] proposed a model for designing the disassembly process of an EV battery pack, which provides an optimal disassembly level a.k.a. "stopping point" as a trade-off decision between no disassembly and complete disassembly. The model also suggests an efficient recovery option (e.g., reuse, remanufacturing, recycling, or disposal) for each disassembled component, ensuring the highest profitability and minimum environmental impact. The result of their study indicated that the profits are highly dependent on the state of the modules. According to the case study performed on an Audi A3 Sportback e-tron Hybrid Li-ion Battery Pack, when all modules are ready for reuse, complete disassembly of the pack will return the highest profit and environmental benefit; otherwise, partial disassembly is recommended with the optimal disassembly level identified based on the number of reusable modules. Gentilini et al. [35] proposed a mathematical model that determines the optimal disassembly sequence for minimizing the exposure time of an operator to hazardous voltages. Their safety-oriented disassembly strategy reduced the hazard risk by more than 50% compared with the time-oriented disassembly model that minimized disassembly time. However, the study only considered the pack-to-modules disassembly phase and ignored more subtle risks relevant to the module-to-cells phase. The model also assumes that the operators are exposed to risks only when performing a task; therefore, no setup times or preparation tasks are included in the model.
It is worth noting that the battery pack design varies significantly depending on the model. Therefore, it is often difficult to conduct a study for LIB disassembly that applies to all models. A few research works tried to provide valuable insight on LIB disassembly based on specific models. Rallo et al. [36] investigated the economics of disassembly operations by analyzing the Smart ForFour Li-ion battery. They found that battery pack level disassembly is more cost effective than module or cell level disassembly and is less time-consuming. However, compared with other disassembly levels, cell-level disassembly increases the chance of recovering more material for second use and could benefit the environment. Wegener et al. [37] identified the disassembly steps for Audi Q5 Hybrid System battery priority matrix and disassembly graph. They also investigated the automation potential of disassembly operations. Complete automation is both expensive and infeasible due to the complexities present in the disassembly process of the battery system. Therefore, Herrmann et al. [38] suggested automating only the risky and unproductive tasks associated with manual disassembly, e.g., the extraction of modules from the system, removing cells from the modules, and loosening the screws and nuts.
Overall, disassembly planning for LIB packs has rarely been investigated. Future research could employ multi-objective models that simultaneously minimize disassembly time, exposure risk, and environmental impact, while maximizing the recovery profit. In addition, real-time planning of the disassembly process can also be studied to account for process uncertainties and the quality of disassembled components. Due to the significant difference in battery pack design, it is challenging to plan a disassembly process that works for all the battery models. The cost and time to disassemble a battery pack also vary depending on the model, which are important input parameters to the optimal disassembly planning models. Therefore, developing inventory databases and classification technologies to quickly identify battery pack design and the constituent materials will help optimize the disassembly process, cost, and time. Examples of such an approach are (1) automated disassembly of hard disk drives (HDDs) by utilizing a database containing disassembly information of different HDD models and scanning the barcodes of HDDs to retrieve disassembly information for rapid fastener removal [39] and (2) application of machine learning and artificial intelligence for municipal solid waste identification, characterization, and sortation [40]. Enhanced labeling requirement (e.g., QR code and/or color coding of batteries) for battery identification and their removability from equipment, as was proposed in the new EU Battery Regulation, could also help [41].
For LIBs not reused, mechanical pretreatment such as crushing, magnetic separation, and screening may be applied to obtain cathode containing powder (referred to as black mass) for further recycling. For example, Zheng et al. [42] used wind sieving to recover separators by exploiting the weight difference between electrode materials and battery shells. Rothermel et al. [28] utilized magnetic separation to recover iron-containing parts after size reduction. To recover graphite, they proposed a thermal treatment followed by mechanical separation using an air-jet. Liang et al. [43] stirred anode powder collected from the dismantling phase in absolute ethanol and centrifuged this powder repeatedly prior to thermal treatment to recover graphite. After the pretreatment process, direct recycling, hydrometallurgical processes, and pyrometallurgical processes could be employed to recover valuable materials from spent LIBs.
Direct recycling aims to separate cathode materials from black mass without changing the cathode crystal structure [17]. Indeed, the primary distinction between direct recycling (also known as cathode-to-cathode recycling) and pyro-and hydro-processes is the ability to recover the cathode intact, i.e., without decomposition to its constituent materials [44]. The recovered cathode is directly reusable if sufficient capacity is retained or minimal additional treatment is performed [45]. For example, Zhang et al. [27] used trifluoroacetic acid to dissolve organic binder and detach cathode materials from aluminum foil (Eq 1). Figure 4 summarizes the cathode material recovery process shown in the papers mentioned above.
2Al(s)+6CF3COO−(aq)+6H+(aq)→2Al(CF3COO)3(aq)+3H2(g) | (1) |
For a more detailed review on direct recycling methods (than that presented here), please refer to the paper by Ji et al. [46] published in the same Journal of Clean Technologies and Recycling.
Pyrometallurgical recycling employs high-temperature thermal treatments, which can discharge battery cells, remove flammable electrolytes, decompose organics, and remove the separator layer [48]. Industries also use low-temperature thermal treatment (<500℃) for removing binder and electrolyte without affecting the recovery of cathode and anode active materials [49]. For example, Accurec Recycling GmbH applies a low-temperature thermal treatment (250℃) to remove electrolyte, solvent, and hydrocarbons, which is followed by size reduction, a series of mechanical treatments (i.e., vibrating screening, magnetic separation, and zig-zag classification), agglomeration, and a high-temperature thermal treatment (>800℃) for reducing meltdown to recover Co/Ni/Mn/Fe alloy [50,51]. Träger et al. [48] proposed EcoBatRec, a joint mechanical-pyrometallurgical process starting with disassembly of spent LIB packs into modules. The pyrometallurgical process was used to discharge batteries and remove flammable electrolytes and the separator layer. Deactivated cells were subjected to a series of mechanical processes including crushing, shredding, and sieving to remove aluminum, copper, and steel from the electrode powder. The concentrated electrode powder was either directly vacuum evaporated to recover metallic lithium or entraining gas evaporated to recover lithium oxide.
Due to high energy consumption and the emission of hazardous gases, the typical pyrometallurgical process may be unsuitable for handling the growing number of spent LIBs in the future [11,52]. As a result, several studies have attempted to combine this technique with a hydrometallurgical process in order to boost efficiency and minimize environmental impact. Hu et al. [53] recovered lithium carbonate and other individual metal salts through a combined pyro- and hydro-process. Black mass was alkali leached to remove aluminum and then a three-hour thermal treatment was performed at 650℃. Carbonated water leaching was carried out to transform lithium carbonate into more soluble lithium bicarbonate (Eq 2), and the pH of the solution was adjusted to 3.5 to remove iron. The solid and liquid were then separated via filtering. Lithium carbonate was recovered from the liquid solution through evaporative crystallization at 100℃ for 0.5 h (Eq 3), whereas the solid residue was acid leached and solvent extracted to recover nickel, cobalt, and manganese.
Li2CO3(s)+H2O(aq)+CO2(g)→2LiHCO3(aq) | (2) |
2LiHCO3(aq)→Li2CO3(s)+H2O(aq)+CO2(g) | (3) |
Another study by Fan et al. [54] discussed the effect of wet mechanochemical treatment applied to LFP cathode materials. Spent LIBs were discharged, dismantled, and alkali leached for aluminum removal. After drying and calcination of the residue at 700℃ for 5 h to remove organic impurities, the feedstock was wet ball-milled with oxalic acid to reduce the particle size and solubilize lithium as shown in Eq 4. The materials were soaked in water, and the pH was adjusted to 4 to further remove iron. Lithium phosphate was precipitated after further pH adjustment to 8, filtration, and drying. Figure 5 shows a flowsheet of the aforementioned pyro-processes.
LiFePO4(s)+1/2H2C2O4(s)H2O→1/2FeC2O4(s)+Li+(aq)+1/2Fe2+(aq)+PO43−(aq)+H+(aq) | (4) |
Hydrometallurgical recycling has been widely used on an industrial scale throughout the world. This process has several advantages over pyro-processes, including lower energy consumption and potentially smaller environmental footprint [11]. Generally, a hydrometallurgical process begins in one of two possible ways. In the first route, materials are subjected to the previously described pyrometallurgical processes, and the resulting slag is leached and further processed for value recovery. Yang et al. [55] obtained anode current collectors in the dismantling step. They separated graphite from copper foils using a thermal treatment and then leached the materials to recover lithium through sodium carbonate precipitation. Wang et al. [56] performed deep dismantling to extract cathode materials after discharging. After washing and drying the spent cathode materials, thermal treatment was used to decompose the organic binder. The obtained materials were leached in acid and precipitated to recover cathode materials. Yang et al. [57] retrieved cathode materials from spent LIBs by discharging, dismantling, and thermally treating for aluminum foil separation. Sulfuric acid was used to leach the spent cathode materials in the presence of hydrogen peroxide. Impurities were precipitated out from the leachate by adjusting the pH to 4.8 using sodium hydroxide and further removed via solvent extraction. After solvent extraction, cathode materials (i.e., Ni, Mn, Co) were co-precipitated, and lithium carbonate was precipitated from raffinate.
The second route involves the direct leaching of cathode materials obtained through mechanical pretreatment. Zheng et al. [42] developed an alkali leaching process by adding NaOH to dismantled and crushed LIBs that contain aluminum (Eq 5), and then filtering the leaching liquor. Passing CO2 into the liquor recovered Al(OH)3 (Eq 6). Moreover, the solid residue from alkali leaching was subjected to sulfuric acid leaching with hydrogen peroxide as a reducing agent that solubilizes Li, Co, Ni, and Mn from mixed cathode materials containing LCO, LMO, and NMC (Eqs 7–9). Ammonium hydroxide precipitation was used to remove iron. In addition, copper extractants and phosphate ester were used to remove copper, iron, and residual aluminum. New copper sulfate, nickel sulfate, and manganese sulfate were then added, and NixCoyMn(1-x-y)(OH)2 was recovered via hydroxide precipitation.
2Al(s)+2NaOH(aq)+2H2O(aq)→2NaAlO2(aq)+3H2(g) | (5) |
2NaAlO2(aq)+3H2O(aq)+CO2(g)→2Al(OH)3(s)+Na2CO3(aq) | (6) |
2LiCoO2(s)+3H2SO4(aq)+H2O2(aq)→2CoSO4(aq)+Li2SO4(aq)+4H2O(aq)+O2(g) | (7) |
2LiMn2O4(s)+5H2SO4(aq)+H2O2(aq)→4MnSO4(aq)+Li2SO4(aq)+6H2O(aq)+2O2(g) | (8) |
6LiNi1/3Co1/3Mn1/3O2(s)+9H2SO4(aq)+3H2O2(aq)→2NiSO4(aq)+2CoSO4(aq)+2MnSO4(aq)+Li2SO4(aq)+3Li2SO4(aq)+12H2O(aq)+3O2(g) | (9) |
Nayaka et al. [58] dissolved aluminum foil using alkali leaching with NaOH, immediately after size reduction of LCO-type LIBs. Subsequently, the solid materials were heated to burn off the organics including carbon and PVDF. The obtained powder was then leached using nitrilotriacetic acid and adipic acid with ascorbic acid as a reducing agent. Gao et al. [59] recovered lithium carbonate and other separated individual metals from the cathode scrap. They cut the cathode scraps into small pieces, which were then leached with formic acid and hydrogen peroxide, a reducing agent. Hydroxide precipitation was applied to recover Ni, Co, and Mn from the leachate, and the raffinate was pH adjusted and sodium carbonate was added to recover lithium carbonate. Figure 6 shows the overall flowsheet of the hydrometallurgical processes discussed above.
Optimizing LIB leaching through design of experiments. Regarding process optimization, the existing literature focused on optimizing LIB leaching conditions such as acid concentration, solid/liquid (S/L) ratio, temperature, and leaching time to maximize metal extraction efficiency [60]. Design of experiments (DOE) is an efficient technique for identifying the impact of parameters on a desired output. These techniques can also be used for parameter optimization by modeling the relationship between processing parameters and response variables and subsequently predicting pathways for optimum response values. This section reviews articles that applied DOE methods to the optimization of the leaching process employed for spent LIB cathode materials.
Table S1 in the Supplementary shows research studies where mineral acids were used as leaching agents, and the leaching conditions were optimized for maximum metal extraction. Sulfuric acid has been the most widely used leaching agent with the help of hydrogen peroxide as a reducing agent for improving the solubility of cobalt, manganese, and nickel present in the cathode material. However, Ghassa et al. [61] used iron scrap as a reductant for sulfuric acid leaching of mixed cathode materials because of its lower environmental impact than hydrogen peroxide. They found a satisfactory leaching efficiency under the optimal condition (1 mol/L H2SO4, 25 g/L iron scrap, 10 g/L solid to liquid ratio, 150 min of leaching time, and agitation speed of 500 rpm). However, additional downstream process (i.e., adding NaOH) was required to remove iron from the leachate.
Most studies have confined the scope of experiments to leachate production in their DOE, and only a few studies [24,62] have considered downstream processes such as chemical precipitation, flotation, and solvent extraction. Huang et al. [24] used a stepwise recovery process to recover lithium, iron, and manganese after leaching a hybrid powder of LiFePO4 and LiMn2O4 in the presence of HCl and H2O. They used 12 g/L [Hbet][Tf2N] and 9 g/L n-butyl xanthate for separating Fe3+ ions in the first stage. Afterward, 0.35 molL−1 KMnO4 and 0.20 molL−1 Na3PO4 were added to the Mn, Li-enriched solution for sequential recovery of Mn and Li through precipitation. Wang et al. [62] used solvent extraction to recover metals from the leachate. D2EHPA was used to extract copper and manganese, while PC-88A was used to separate nickel and cobalt. Chan et al. [63] studied a closed-loop recycling process of cathode materials, where the materials were regenerated from the leaching solution. The new LIBs containing the regenerated cathode materials yielded similar or even better performance in terms of specific capacity, rate capability, and cycling performance than the initial LIBs.
While mineral acids provide high leaching efficiency, some disadvantages can limit their use in practical applications. First, hazardous gases such as Cl2 and SO3 are produced in the leaching process and negatively affect both the environment and human health. Moreover, wastewater containing strong acid from the leaching process requires further treatment before being disposed of in the environment. These factors have motivated many studies focused on organic acids. The leaching process of spent LIBs using organic acid has been extensively investigated and DOE techniques have been used to optimize the leaching experiment parameters (see Table S2 in the Supplementary). Golmohammadzadeh et al. [60] explored the leaching of an LCO cathode material using four organic acids: citric acid, D-malic acid, oxalic acid, and acetic acid. They found that citric acid was the best leaching reagent, owing to its high H+ ion production rate, which plays a crucial role in recovering lithium and cobalt. Zeng et al. [64] developed a novel recovery process that uses acid leaching for direct separation of cobalt and lithium in an LCO cathode. The authors used 1 M oxalic acid (H2C2O4), which acted as leaching and precipitating reagent. After leaching, the obtained solution contained the precipitated CoC2O4 and soluble Li2C2O4 or LiHC2O4. The solution was filtered to separate CoC2O4 from the lithium-rich solution. NMC is one of the most studied cathode chemistries in the literature. Li et al. [65] proposed closed-loop recycling of an NMC cathode using lactic acid as the leaching and chelating reagent. Li et al. [66] compared the performance of NMC cathode materials synthesized from acetic acid leachate (NCM-Ac) and maleic acid leachate (NCM-Ma). The authors found that NCM-Ma provided higher capacity and better cycling performance than NCM-Ac. Ning et al. [67] used ultrasound-assisted malic acid to leach an NMC cathode, which reduced the viscosity of the solution by increasing the reaction area. Consequently, the metal ions diffused easily, thereby accelerating the reaction rate. In some studies [24,68,69,70], mixed cathode materials were used in the leaching experiments, representing a more practical feedstock (than non-mixed materials) in the absence of battery chemistry classification.
Tables S1 and S2 in the Supplementary show that fractional factorial design is the most popular DOE method applied to the leaching of LIB materials, as it requires the least number of experiments for a given set of design parameters. Factorial or fractional factorial design is used to screen factors and model (with a first-order model) the relationship of independent variables and their interactions to the response variable. A more complex technique referred to as response surface methodology (RSM) aims to optimize the response through a sequential procedure that could employ multiple procedures. These include (fractional) factorial design, steepest ascent (or descent) method, central composite design for a second-order model, and ridge analysis for continuous exploration of the optimal region [71,72]. The existing RSM studies have utilized Minitab Response Surface Optimizer or the Process Optimization function of Design Expert to identify the single 'optimal' condition through a one-step process. In some cases, experimental verification of the response value(s) associated with the optimal condition was lacking.
The previous sub-sections discussed three primary methods of recycling spent LIBs—direct recycling, pyrometallurgy, and hydrometallurgy. These technologies require different levels of pre-treatments to reduce impurities for downstream processes and maximize the value recovered from spent LIBs. Disassembly for separating components such as steel and plastics, thereby reducing contamination in the subsequent steps of battery recycling, was required in most studies [47,48,56]. Pretreatments are labor- and chemical-intensive, adding costs to LIB recycling. Direct recycling is capable of recycling all the battery cathode materials including cobalt, nickel, manganese, and lithium, while preserving the cathode morphology. This feature is critical for countries such as the United States that lack a domestic cathode powder manufacturer. However, this process requires the pre-sorting of battery types, and the performance of the recovered cathode materials may be inferior to that of virgin materials. Isolating the electrodes, which is accomplished through the use of organic solvents or thermal decomposition, represents another significant challenge of direct recycling [44]. Solvents present toxicity when released to the atmosphere, and thermal decomposition may release hazardous HF. Pyrometallurgy is the least complex process of the three and can be applied to any battery. The pyrometallurgical process is an energy-intensive process with toxic gas emissions. Although the pyro-process can effectively recover cobalt, nickel, and copper, aluminum and lithium are often lost in the slag [52]. The hydrometallurgical method outperforms the pyrometallurgical method in terms of energy consumption, toxic air emissions, and material recovery; nevertheless, hydro-processes are typically more complex and require additional pretreatment as well as many chemical reagents. Table 2 summarizes the pros and cons of the different aforementioned recycling technologies.
Category | Advantages | Disadvantages |
Direct recycling | ● Crystal structure of cathode preserved, easier for direct reuse ● Potentially more economical and environmentally friendly than hydro- or pyro-processes |
● Low technology readiness level ● Pre-sorting of battery cathode types ● Performance of recovered materials may be inferior to that of virgin materials ● Mixing cathode materials could reduce the value of the recycled product ● Recovered cathodes may become obsolete with changing battery composition |
Pyrometallurgy | ● Applicable to any battery type and large processing capacity ● No pretreatment needed and simple operation ● Typically loss of Li and Al in the slag |
● Gas clean-up is required to avoid toxic air emission ● High capital cost ● Energy-intensive ● Further refining is needed to produce individual metals from produced alloys |
Hydrometallurgy | ● Applicable to any battery type ● Flexibility in targeting recycled metals ● Energy-efficient compared to pyro |
● Battery cells must be crushed ● High consumption of chemical reagents ● Treatment required for the high volume of process effluents and hazardous generated acidic/alkaline chemical compounds |
In terms of technology development and adoption trend, pyrometallurgical techniques are generally considered as established processes for metal alloy recovery, whereas hydrometallurgical techniques are emerging for recovery of cathode precursors [50]. The transition is partly due to the higher energy consumption and higher material losses associated with pyrometallurgical processes, whereas the more complex processes of mechanical pretreatment combined with hydrometallurgy are able to recover a broader range of cathode precursor materials and thus more desirable for closing the material loops in the LIB industry [50]. A more recent advancement is direct recycling (e.g., technologies are being developed by OnTo Technology, ReCell Center) which aims to recover cathode materials for direct reuse in LIBs, while reducing the energy and chemical consumptions compared with the pyro- and hydro- processes [17,50]. The direct recycling methods are currently in the early stage of development, mostly based on laboratory scale experiments [17].
Industries have adopted different recovery technologies, pyro-, hydro-, and a hybrid of these two processes. By filing the first patents in 2007, GEM and Brunp are the pioneers of LIB recycling in China [13]. These companies have expanded throughout the country, owing to the steady stream of EOL LIBs, established collection system, and high demand [13]. GEM recycles more than 10% of discarded electronics and scrapped batteries in China, and the recycled cobalt exceeds virgin production from mining in China [75]. Brunp has a processing capacity of 120,000 tons per year and a metal recovery rate of ∼99 percent for nickel, cobalt, and manganese [76]. Both companies employ hydrometallurgical processes and are capable of producing commodities and refined products such as precursors and ternary cathode materials (i.e., cathode materials containing Ni, Co, and Mn). Table 3 lists the names of other prominent recycling companies located outside of China. Due to the large number of companies involved, only those having an annual capacity higher than 1,000 tons are shown. For a more comprehensive list of LIB recycling companies in the North America, readers may refer to the NAATBatt LIB Supply Chain Database [77].
Company | Location | Capacity (tons of LIB feedstock/year) | Technology | Main end product |
Umicore | Belgium | 7,000 | Pyrometallurgy and hydrometallurgy | CoCl2 |
Inmetco | U.S.A. | 6,000 | Pyrometallurgy | Alloy (Co/ Ni/Fe) |
Redwood Materials | U.S.A | 18,000 | Mechanical and hydrometallurgy | Li2CO3, NiSO4, CoSO4, graphite |
Retriev Technologies (Toxco) | U.S.A./Canada | 4,500 | Mechanical and hydrometallurgy | Li2CO3 |
Akkuser ltd. | Finland | 4,000 | Mechanical | Metal powder |
Accurec GmbH | Germany | 6,000 | Pyrometallurgy and hydrometallurgy | Co alloy, Li2CO3 |
Duesenfeld | Germany | 3,000 | Mechanical and hydrometallurgy | CoSO4, NiSO4, MnSO4, Li2CO3, graphite |
Redux | Germany and Austria | 10,000 | Mechanical and hydrometallurgy | Not specified |
Glencore plc. | Canada/ Norway | 7,000 | Pyrometallurgy and hydrometallurgy | Alloy (Co/Ni/Cu) |
Li-Cycle | U.S.A/Canada | 10,000 | Mechanical and hydrometallurgy | Li2CO3, CoSO4, NiSO4 |
SungEel Hitech | South Korea | 24,000 | Hydrometallurgy | Li3PO4, NMC precursor |
Dowa | Japan | 1,000 | Pyrometallurgy | Co, Ni, Mn |
While spent LIBs can be environmentally hazardous upon disposal [72], valuable materials could be recovered through a reverse supply chain to generate revenue and substitute virgin materials for environmental credits. This section will review literature on life cycle assessment and techno-economic analysis for sustainable LIB recycling. In addition, the relevant policies and reverse logistics optimization that support the technology implementation and commercialization will be discussed.
Although LIBs are essential to zero-emission vehicles, their production process and EOL terms can impose substantial environmental burdens. Cobalt production is particularly challenging, as Congo supplies ∼70% of the global cobalt [81] and 20–60% of the export has come from artisanal mining in the last decade [82,83]. The existing literature has focused on developing LIB recycling technologies, and only a few studies attempted to quantify the environmental impacts of various LIB recovery options through life cycle assessment (LCA).
Repurposing: Ahmadi et al. [29] investigated the environmental impacts of repurposing spent EV LIB packs for stationary ESS (e.g., solar energy storage), using the ReCiPe method [84]. They concluded that repurposing offers a significant environmental benefit by extending the life of LIBs and thus delaying LIB manufacturing with minor added impacts from remanufacturing. Moreover, they showed that the global warming potential (GWP) of an LFP battery pack over its life cycle is ∼0.25 kg CO2 equivalent (eq.) per kWh battery capacity. Battery manufacturing dominates the life cycle GWP, contributing ∼40% of the GWP. Within LIB manufacturing, cathode production is the primary source of GWP, consistent with the research efforts on cathode recovery. Another study by Richa et al. [85] conducted an LCA on cascaded reuse of EV LIBs with LMO cathodes in stationary ESS. This study demonstrated that reusing LIBs in ESS could reduce the net cumulative energy demand (CED) and GWP by 15–70% compared with using lead-acid (PbA) batteries.
Metals Recycling: Ceiz and Whitacre [86] examined the environmental impacts of pyrometallurgical, hydrometallurgical, and direct recycling of NMC, NCA, and LFP batteries, using Greenhouse gases, Regulated Emissions, and Energy use in Technologies (GREET) Model 2016 (Figure 7). This study showed that, except for LFP, the greenhouse gas (GHG) emissions generated by recycling LIBs using hydrometallurgical or direct recycling were lower than those resulting from new LIB production. Direct recycling showed better environmental performance, as high CO2 eq. emissions (compared with those of the hydrometallurgical process) were avoided by preserving the cathode material structure. For LFP cells, the iron precursor materials used in LFP cathodes are more energetically efficient to produce and emit lower GHGs than nickel, cobalt, and manganese precursors used in the other cathodes. Therefore, the net GHG saving from recycling LFP batteries was lower (resulting primarily from avoiding the burden of new cathode manufacturing) than that resulting from the other cathode chemistries.
Gaines et al. [17] compared the costs and environmental impacts associated with producing 1 kg of NMC111 from virgin materials and three recycling techniques — hydrometallurgical, pyrometallurgical, and direct recycling (Figure 8). The EverBatt model, an Excel-based software developed by Argonne National Laboratory, was used to estimate the process costs and impacts. Direct recycling generated the lowest cost and environmental impacts [86]. The superior economic and environmental performance of direct recycling (compared with that of other techniques) resulted from the low temperature/energy consumption and cathode material structure preservation aimed at avoiding virgin production.
Wang and Yu [87] conducted LCA on NMC-type EV batteries in China and considered two scenarios—landfilling vs. recycling—using MiLCA software. The system boundary included dismantling of spent LIBs, alkali leaching of electrodes, and acid leaching of cathode materials. Figure 9 shows the environmental benefit of recycling over landfilling in terms of the carbon footprint. An important finding is that the evolution of cathodes toward lower cobalt content (i.e., from NMC111 to NMC811) reduced the carbon footprint of cathode manufacturing. However, this reduction also lowered the benefit of recycling the cathode materials, which was manifested as avoidance of the carbon footprint resulting from recycling. Therefore, the overall cradle-to-cradle impacts of the recycling scenario were similar across different NMC chemistries.
Cascaded reuse, repurposing, and recycling. Richa et al. [88] studied the environmental impacts of four different waste management strategies for LIBs: (1) closed-loop direct reuse in EVs, (2) open-loop cascaded use in stationary ESS, (3) recycling, and (4) landfills. The results showed that the environmental benefits from reuse and recycling outweigh the environmental burden from the value recovery activities (e.g., testing, cell replacement, and metal recycling). However, the benefit from closed-loop reuse of LIBs in EVs is minimal, owing primarily to the fact that increasing energy losses from aging batteries, results in declining travel efficiency. Cascaded use in stationary ESS yields the most significant environmental benefits (e.g., net CED saving of 1,330 MJ/kWh) by avoiding (1) the landfilling of spent LIBs and (2) production and use of lead-acid batteries, which are popular in stationary ESS applications. Regarding recycling methods, the hydrometallurgical process was 25% better in terms of CED than the pyrometallurgical process due to the lower energy input. The last option, landfilling, is associated with landfill leaching and eco-toxicity, in particular from manganese.
Limitations and future work. First, the inclusion of value recovery supply chain and transportation-related impacts has rarely been reported in the LCA literature. The existing LCA tools such as the EverBatt model can be used to calculate the transportation impacts, and the users need to define the transportation mode and distance that reflect the current LIB supply chain in their LCA studies. In the papers we have reviewed, the transportation distance was assumed without any elaboration on the connection to the LIB supply chain, and some papers did not discuss the transportation mode or distance in their LCA. As the LIB recycling business is at an early stage of development in the US and LIB manufacturing infrastructure is heavily concentrated in Asia, the recycled black mass or battery precursors may need to be transported overseas to close the materials loop. As a relevant example, recovering NdFeB magnet assembly from hard drives collected in the US entailed transportation of the EOL hard drives to Thailand due to lack of disassembly and manufacturing facilities in the US, and the transportation mode (i.e., air vs. sea) played a decisive role in the environmental benefit of the recovery strategy [89]. Transportation would therefore contribute significantly to the environmental impact of LIB recycling. Second, variations in functional unit definition (e.g., 1 kg of cathode materials vs. 1 kWh of battery capacity vs. 1 kWh of energy delivered) and LCA methods adopted (e.g., ReCiPe vs. GREET) were commonplace. These variations led to heterogeneous results that were difficult to integrate or compare. In addition, life cycle inventory data was not disclosed in some LCA studies, challenging the reliability, transparency, and repeatability of the analysis. Therefore, future studies could explore the supply chain implications of the recycled LIB materials, standardize the functional unit and LCA method, and disclose the full life cycle inventory data in order to facilitate data interpretation.
Techno-economic assessment is an important tool for evaluating and improving the economic feasibility of implementing LIB recycling technologies on a commercial scale. The primary focus of LIB recycling was to recover cobalt, due to its high price, and the recovery of other elements was considered the secondary objective. However, the evolution of cathode chemistries toward less cobalt [90] has reduced the revenue from LIB recycling and increased interests in recovering additional elements such as lithium, manganese, and nickel. Similar to the LCA results, LIB reuse was generally more favorable than metals recycling from spent LIBs. Richa et al. [88] proposed a waste management hierarchy for EV LIBs and estimated the economic benefit from different value recovery pathways, including direct reuse, cascaded use, and recycling. The purchasing price of a new EV LIB was assumed to be $125/kWh, and users could purchase a refurbished one for $38/kWh, which was 30% of the new LIB purchasing cost. For the recycling pathway, they assumed that LIB waste streams were processed either by means of a pyrometallurgical or hydrometallurgical process. A maximum recycling capacity of 34,000 tons/year was assumed (fixed cost: $1,000,000/year and variable cost: $1,100/ton). Their results showed that all value recovery pathways resulted in economic savings. In fact, the pathways could be listed as follows, cascaded reuse in stationary ESS ($590/LIB pack) > direct reuse in EV ($480/LIB pack) > and recycling ($50/LIB pack), i.e., in descending order of the savings generated.
Wang et al. [87] investigated the economic impact of recycling spent EV batteries with different cobalt concentrations. A hydrometallurgical process, using sodium hydroxide, acetic acid, and acetone solutions, was adopted for recycling NMC batteries in China. Table 4 shows the detailed cost estimates and those from three other studies, which indicate that the major cost driver is the waste LIB purchasing cost. The results showed that the recycling profit decreased from 10,603 CNY/kg to 8,242 CNY/kg when the cobalt content was reduced from NMC111 to NMC811.
Source | [90] | [91] | [92] | [86] |
Waste lithium-ion battery purchasing | 12,018 | 20,000 | - | 12,018 |
Chemical solution | 2,500 | 920 | 2,500 | |
Electricity | 620 | 650 | 620 | |
Dismantling and separation | 500 | - | 500 | |
Waste-water treatment | 330 | 550 | 330 | |
Residue treatment | 120 | 120 | ||
Labor cost | 470 | 800 | 720 | 410 |
Transportation fee | 2,000 | 368 | ||
Maintenance fee | 100 | 500 | 3,200 | 100 |
Facility depreciation | 536 | 536 | ||
Total | 19,283 | 22,500 | - | 17,500 |
Wang et al. [94] developed an optimization model for identifying the minimum break-even recycling volume of LIB scraps by changing the share of LCO, LFP, and LMO batteries in the mixed LIB scraps. They concluded that the minimum recycling volume should be 170 tons per year based on three major assumptions: (1) all the LIB feedstocks should be of LCO cathode type, the most valuable one among the three alternatives, (2) the variable cost was $2,800 per ton LIB, and (3) the fixed cost was $1 M at a processing capacity of 34,000 tons of LIB per year. Revenue from recycling LCO batteries was seven times higher than that from LFP batteries and ten times higher than that from LMO batteries, owing primarily to the higher cobalt price. As the LIB industry moves toward reducing the amount of cobalt in cathodes, the economic incentives for recycling will decrease.
Future research direction: Ding et al. [18] and Bloomberg New Energy Finance [95] projected that the cost of LIB manufacturing will decrease continuously, as shown in Figure 10, through new technology development (e.g., new battery chemistries—NMC811 and Si anode) and product design optimization (e.g., cell design). Consequently, the LIB recovery technologies are challenged to be robust to process diverse incoming EOL LIB designs and chemistries and yet lower the cost continuously to compete with virgin LIB production. For instance, recycling of LFP and LMO cathodes through pyro- or hydro- processes could not pay back the recovery cost due to the low value of the constituent materials, rendering direct recycling the potential solution [23]. Another benefit of direct recycling is the streamlined process that reduces the processing steps and transportation distances among various stakeholders of the supply chain, since it could directly recover cathode materials as opposed to the other techniques recovering metal alloys or cathode precursors [23,49]. Therefore, future studies may focus on addressing the limitations associated with direct recycling shown in Table 2 for industry adoption of this new technology. For example, development of cost-effective sortation technologies would be desirable for separating batteries with different cathodes. Another way to address the mixed cathodes problem is to develop recycling methods that enable the production of high-value products, such as cathode, directly from mixed feed without breaking down the cathode structures (e.g., application to a mixture of NMC cathodes) [23]. In addition, policy incentives that promote LIB recovery may help the economic viability of LIB recycling, as will be shown in the next section.
The EU Battery Directive has established regulations for the proper recycling and disposal of EOL batteries [90]. The EOL Vehicle Directive in the EU also provided guidelines for collecting and managing EOL vehicles and their components [96]. The US classified mercury-based, nickel-cadmium, and PbA batteries as hazardous wastes that fall under the standards for universal waste management (i.e., Mercury-Containing and Rechargeable Battery Management Act of 1996) [97]. However, LIBs are overlooked by the Act, and national-level recycling mandates for LIBs in the US are lacking. Only three states have implemented regulations that prohibit landfilling of LIBs and mandated (via law) that retailers take back LIBs. These regulations are referred to as California's rechargeable battery recycling [98], New York state rechargeable Act of 2006 [99], and Minnesota rechargeable battery law of 1994 [100].
Table 5 shows the global policies and recommendations for LIBs in different life cycle phases [88]. For example, the EOL Vehicle Directive (ELV) prohibits hazardous material usage in battery manufacturing and recommends a design for dismantling aimed at facilitating battery removal. Labeling of batteries is also important for identifying hazardous material content and facilitating the subsequent EOL treatment. The EU Battery Directive (BD) and ELV facilitate the collection of EOL batteries through Extended Producer Responsibility (EPR). EPR is also practiced in three US states wherein manufacturers must allow free return of EOL batteries by consumers. New York and California regulations for battery collection are limited to consumer electronics (Call2Recycle [101]) and exclude large vehicle batteries. Domestic and international transportation of LIBs should meet specific safety requirements, as LIBs are classified as class 9 miscellaneous hazardous materials [102].
Life cycle stage | Initiative | Current policies and recommendations |
Battery/vehicle production | Material selection | BD: No restriction on LIB materials (i.e., considered non-hazardous) ELV: Prohibits use of hazardous substances in vehicles CA state: Classifies LIBs as hazardous due to excessive levels of cobalt, copper, and nickel |
Design for EOL | BD, ELV: Appliance or vehicle design should facilitate battery/component removal | |
Labeling or identification | BD: Labeling of heavy metal content (mercury, lead, and cadmium) and landfill ban ELV: Material and component coding standards for identification CA, MN: Battery type (e.g., LIBs and NiCd) and note on recycling and safe disposal |
|
Use phase | Repair or maintenance | EU waste directive: Defines "waste hierarchy" wherein waste prevention through product life span extension precedes other EOL management routes |
Collection | Extended producer responsibility | BD: Collection financed by battery producers or third parties acting on their behalf ELV: EPR collection scheme applied to the vehicle batteries CA, NY, MN: Retailer or battery manufacturer to provide free EOL battery collection Call2Recycle: Product stewardship program providing no-cost battery collection across the United States and Canada funded by battery and product manufacturers |
Transport | Shipping guidelines (Class 9 miscellaneous hazardous material) | BD: Waste batteries exported for recycling should comply with waste shipment laws LIB transport regulated by the US department of transportation, US hazardous materials regulations, international civil aviation organization, international air transport association, and international maritime dangerous goods, which provide packaging, labeling, shipping, and fire hazard prevention instructions |
Recycling | Targets and process guidelines | BD: 50% recycling efficiency and rules for calculating the efficiency ELV, BD: Very brief guidelines for dismantling, storage, and handling of batteries (e.g., electrolyte removal, metal and plastic removal, and sorting) |
Incineration and landfill | Prohibition | BD: Landfill and incineration prohibited ELV: Waste-to-energy and landfill of non-recycled vehicle components allowed CA, NY, MN: Landfill ban only (with ineffective or no penalty for non-compliance) |
Notes: BD: EU Battery Directive; ELV: EU end-of-life vehicle directive; NYS: New York Rechargeable Battery Recycling Act (2010); CA: California's Rechargeable Battery Recycling Act (2006); MN: Minnesota Rechargeable Batteries and Products law (1994). |
The European Commission proposed a new battery regulation in December 2020 to establish requirements for sustainable and competitive battery value chains, which include carbon footprint declaration, minimum recycled content, and labelling with more information (see Supplementary Table S3) [41,103]. Updates on the California's Rechargeable Battery Recycling Act are also underway.
Financial strategies may create additional incentives for recycling batteries. For example, the state of New York imposed civil penalties of up to $200, $500, and $5,000 for consumers, manufacturers, and retailers, respectively, for improper disposal of batteries [99]. Consumer depositing of funds at the time of purchase may also promote the collection of spent batteries. The EPR policies shown in Table 5 also reduce the collection cost burden from LIB recyclers and improve economies of scale with increased LIB collection volume.
To implement the LIB recovery technologies, reverse logistics deal with the collection of EOL products from end-users and the transport of such products to downstream processors for reuse, remanufacturing, and recycling. Spent LIBs are class 9 hazardous materials, and the transportation cost in the US could constitute 27% of the total recycling cost, which is four times higher than the recycling materials cost [20,33]. Optimizing the reverse logistics network will reduce the cost and environmental impact associated with transportation while maximizing the service level (i.e., percentage of delivered product relative to the customer demand). However, only a few research articles have been published on the strategic design of a reverse logistics network for spent LIBs. Table 6 summarizes the relevant studies in this area.
Reference | Decision variable | Objective function | Modeling approach | Solution method | Sustainability dimension | Country/State |
[25] | Optimizing facility locations and material flows for three alternative strategies: recycling, disposal, and remanufacturing EOL LIBs | Minimizing operations cost and CO2 emissions | Mixed integer linear programming | Genetic algorithm | Economic and Environmental | China |
[104] | Integrating LIB remanufacturing and recycling into a forward supply chain and optimizing the facility location and material flow | Maximizing profit | Mixed integer non-linear programming | Particle swarm optimization | Economic | - |
[105] | Determining the optimal investment plan for a sequential deployment of LIB recycling plants | Maximizing net present value | Mixed integer linear programming | CPLEX software | Economic | Germany |
[106] | Optimizing facility location, transportation quantity, and allocation of demand zones to each facility | Minimizing total annual cost | Mixed integer linear programming | Unspecified | Economic | Sweden |
[107] | Optimizing facility location | Minimizing capital and transportation costs | LCA & Geographic information system | Unspecified | Economic and Environmental | California |
To minimize operations cost and GHG emissions, Wang et al. [25] designed an optimal reverse logistics network for spent LIBs. Their model considered three potential strategies for handling spent batteries of different qualities: reuse, remanufacturing, and recycling. The optimal configuration of the recycling network is affected mainly by transportation costs, the carbon tax, and the number of used electric vehicle batteries. Although the processing cost constituted a major cost, changes in the processing cost had no effect on the optimal network design. Li et al. [104] integrated remanufacturing and recycling into an existing forward supply chain network of LIBs, which could increase the total profit by 31%. The cost savings associated with the integrated supply chain resulted mainly from the reduced transportation cost, raw material purchasing cost, and processing cost. Sensitivity analysis revealed that the profit was mainly influenced by the processing cost of collection centers, highlighting the importance of optimizing collection facility operations (e.g., dismantling). Hoyer et al. [105] developed an optimization model that allowed a sequential deployment of recycling plants over time. The strategy was found to return a higher net present value than establishing all the plants at the beginning of the planning horizon because future developments in the LIB market are particularly uncertain and dynamic. Tadaros et al. [106] designed a future supply chain network for spent LIBs in Sweden. They emphasized the importance of increasing the initial capacity of inspection sites and recycling centers compared with that of the status-quo and opening new facilities over the years to accommodate the increasing volume of spent LIBs. Hendrickson et al. [107] applied geospatial modeling to determine the optimal facility locations for LIB recycling in California with the goal of minimizing the cost and GHG emissions. The results showed that, compared with using air transport, using rail and truck transportation could substantially reduce transportation-related GHG emissions (23–45%). The authors also used LCA to compare LIB virgin production with pyrometallurgical recycling. Material recovery from pyro-process was found to lower the primary energy demand by 6–56% and decrease GHG emissions by 23% compared to virgin production.
With the limited literature on optimizing LIB reverse logistics, numerous opportunities are available for future research in this area.
● The objective functions could be expanded to cover all three dimensions of sustainability—economic, environmental, and social. Although a few studies have assessed the environmental impacts, these assessments focused on only GHG emissions. Future research could broaden the range of environmental impact categories (to include (for example) CED and water consumption), thereby facilitating informed decision-making for sustainable operations.
● Each study has overlooked uncertainty in the mathematical models employed. However, supply chain operations can be highly sensitive to uncertain parameters such as the purchasing cost of spent LIBs, return quantity, time of return, market price, and demand for recycled products. Therefore, advanced mathematical modeling techniques such as stochastic programming or robust optimization could be applied in future studies to design a resilient LIB reverse supply chain. Furthermore, different risk mitigation strategies (including (among others) alternative sourcing [108], backup suppliers [109], spare capacity [110], buffer inventory [111], facility fortification [112], and substitute products [113]) could be tested.
● Optimization models will be tailored to the promising technologies and supply chain infrastructure. Li-Cycle, North America's largest LIB recycling company, patented a spoke and hub technology that segregates collection and pre-processing facilities (i.e., spokes) and downstream recycling facilities (i.e., hubs) for efficient LIB recovery infrastructure [114]. This technology was claimed to be suitable for all battery chemistries and able to extract high-grade materials for battery reproduction at a cost lower than virgin battery materials. The reverse logistics network shall be optimized to enable introduction of these emerging technologies to the market.
● Future research shall delve into the vertical integration of the entire LIB reverse supply chain to close the material loop. Wang et al. [25] assumed that reusable battery materials are transported to new LIB manufacturing plants in China, which dominates the current LIB production market. For LIB recycling in other countries (e.g., Sweden, Germany, and USA; see Table 6), export of the recycled materials overseas for further processing may be required. This additional step shall be accounted for in the reverse logistics design to help optimize the overall supply chain impact.
This paper reviewed LIB value recovery technologies and the associated environmental impacts, economics, policies, and supply chain optimization strategies. Emerging technologies developed for LIB recycling employ hydrometallurgical, pyrometallurgical, and direct recycling. However, their commercial viability is challenged by the high recycling cost and changes in battery chemistry toward less valuable metals (e.g., lower cobalt content) reduce the economic and environmental incentives for recycling. Optimizing the disassembly process, material recycling technologies, and reverse logistics would contribute to sustainable value recovery from LIBs.
General recommendations for future studies include:
● Prioritizing reuse and direct recycling over hydrometallurgical and pyrometallurgical processes to preserve the functional value of LIBs and cathode materials, respectively, and eliminate the need for harsh chemical- or energy-intensive processes.
● Developing value recovery technologies for the emerging LIB cathode materials (e.g., LFP, NMC811) that contain less valuable materials (but would increase in market share) than conventional cathode materials.
● Evaluating different policies and their impacts on LIB recycling to help identify the most effective strategies for incentivizing technology development and commercialization that exert the minimum environmental impacts.
● Incorporating the impact of reverse logistics in the economic and environmental analysis to account for the current limitations of the LIB supply chain (e.g., manufacturing facilities concentrated in Asia) and vertically integrate recovery processes to close the material loop.
● Designing a reverse supply chain that strategically optimizes the economic, environmental, and uncertainty aspects of LIB value recovery at the outset of process development and commercialization efforts.
This work was supported through a sub-contract from the Ames Laboratory with funding from the Department of Energy-Energy Efficiency and Renewable Energy under contract No. DE-AC02-07CH11358; Agreement No. 26110-AMES-CMI.
All authors declare no conflict of interest in this paper.
[1] |
Ul Haq MI, Khuroo S, Raina A, et al. (2020) 3D printing for development of medical equipment amidst coronavirus (COVID-19) pandemic—review and advancements. Res Biomed Eng 38: 305–315. https://doi.org/10.1007/s42600-020-00098-0 doi: 10.1007/s42600-020-00098-0
![]() |
[2] |
Aziz R, Ul Haq MI, Raina A (2020) Effect of surface texturing on friction behaviour of 3D printed polylactic acid (PLA). Polym Test 85: 106434. https://doi.org/10.1016/j.polymertesting.2020.106434 doi: 10.1016/j.polymertesting.2020.106434
![]() |
[3] |
Chadha A, Ul Haq MI, Raina A, et al. (2019) Effect of fused deposition modelling process parameters on mechanical properties of 3D printed parts. World J Eng 6: 550–559. https://doi.org/10.1108/WJE-09-2018-0329 doi: 10.1108/WJE-09-2018-0329
![]() |
[4] |
Naveed N (2020) Investigate the effects of process parameters on material properties and microstructural changes of 3D-printed specimens using fused deposition modelling (FDM). Mater Technol 36: 317–330. https://doi.org/10.1080/10667857.2020.1758475 doi: 10.1080/10667857.2020.1758475
![]() |
[5] |
Naveed N (2021) Investigating the Material Properties and Microstructural Changes of Fused Filament Fabricated PLA and Tough-PLA Parts. Polym 13: 1487. https://doi.org/10.3390/polym13091487 doi: 10.3390/polym13091487
![]() |
[6] |
Ashrafi N, Duarte JP, Nazarian S, et al. (2018) Evaluating the relationship between deposition and layer quality in large-scale additive manufacturing of concrete. Virtual Phys Prototyping 14: 135–140. https://doi.org/10.1080/17452759.2018.1532800 doi: 10.1080/17452759.2018.1532800
![]() |
[7] | Kumar MB, Sathiya P (2021) Methods and materials for additive manufacturing: A critical review on advancements and challenges. Thin-Walled Struct 159: 107228. https://www.sciencedirect.com/science/article/pii/S0263823120311009 |
[8] |
Rouf S, Raina A, Ul Haq MI, et al. (2022) 3D printed parts and mechanical properties: influencing parameters, sustainability aspects, global market scenario, challenges and applications. Adv Ind Eng Polym 5: 143–158. https://doi.org/10.1016/j.aiepr.2022.02.001 doi: 10.1016/j.aiepr.2022.02.001
![]() |
[9] | Ul Haq MI, Raina A, Ghazali MJ, et al. (2021) Potential of 3D printing technologies in developing applications of polymeric nanocomposites, In: Jena H, Katiyar JK, Patnaik A, Tribology of Polymer and Polymer Composites for Industry 4.0, 193–210. https://doi.org/10.1007/978-981-16-3903-6_10 |
[10] |
Clarissa WHY, Chia CH, Zakaria S, et al. (2022) Recent advancement in 3-D printing: nanocomposites with added functionality. Prog Addit Manuf 7: 325–350. https://doi.org/10.1007/s40964-021-00232-z doi: 10.1007/s40964-021-00232-z
![]() |
[11] |
Birosz MT, Andó M, Jeganmohan S (2021) Finite element method modeling of additive manufactured compressor wheel. J Inst Eng (India): Ser D 102: 79–85. https://doi.org/10.1007/s40033-021-00251-8 doi: 10.1007/s40033-021-00251-8
![]() |
[12] |
Andó M, Birosz M, Jeganmohan S (2021) Surface bonding of additive manufactured parts from multi-colored PLA materials. Measurement 169: 108583. https://doi.org/10.1016/j.measurement.2020.108583 doi: 10.1016/j.measurement.2020.108583
![]() |
[13] |
Saini JS, Dowling L, Kennedy J, et al. (2020) Investigations of the mechanical properties on different print orientations in SLA 3D printed resin. Proc Inst Mech Eng Part C 234: 2279–2293. https://doi.org/10.1177/0954406220904106 doi: 10.1177/0954406220904106
![]() |
[14] | Węgrzyn N (2022) The use of additive manufacturing for production of commercial airplane power plants components: A review. Saf Def 8: 2. Available from: https://sd-magazine.eu/index.php/sd/article/view/185. |
[15] | Wohlers T, Gornet T, Mostow N, et al. (2016) History of additive manufacturing. Wohlers Rep 2016–2022, 1–38. Available from: https://papers.ssrn.com/sol3/papers.cfm?abstract_id = 4474824. |
[16] |
Bourell DL (2016) Perspectives on additive manufacturing. Annu Rev Mater Res 46: 1–18. https://doi.org/10.1146/annurev-matsci-070115-031606 doi: 10.1146/annurev-matsci-070115-031606
![]() |
[17] |
Chiarini A, Belvedere V, Grando A (2020) Industry 4.0 strategies and technological developments. an exploratory research from Italian manufacturing companies. Prod Plann Control 31: 1385–1398. https://doi.org/10.1080/09537287.2019.1710304 doi: 10.1080/09537287.2019.1710304
![]() |
[18] |
Wu P, Wang J, Wang XY (2016) A critical review of the use of 3-D printing in the construction industry. Autom Constr 68: 21–31. https://doi.org/10.1016/j.autcon.2016.04.005 doi: 10.1016/j.autcon.2016.04.005
![]() |
[19] |
Ryan MJ, Eyers DR, Potter AT, et al. (2017) 3D printing the future: scenarios for supply chains reviewed. Int J Phys Distrib Logist Manage 47: 992–1014. https://doi.org/10.1108/IJPDLM-12-2016-0359 doi: 10.1108/IJPDLM-12-2016-0359
![]() |
[20] |
Marchi B, Zanoni S (2017) Supply chain management for improved energy efficiency: Review and opportunities. Energies 10: 1618. https://doi.org/10.3390/en10101618 doi: 10.3390/en10101618
![]() |
[21] | Ford S, Despeisse M (2016) Additive manufacturing and sustainability: an exploratory study of the advantages and challenges. J Cleaner Prod 137: 1573–1587. Available from: https://www.sciencedirect.com/science/article/pii/S0959652616304395. |
[22] |
Mehrpouya M, Dehghanghadikolaei A, Fotovvati B, et al. (2019) The potential of additive manufacturing in the smart factory industrial 4.0: A review. Appl Sci 9: 3865. https://doi.org/10.3390/app9183865 doi: 10.3390/app9183865
![]() |
[23] |
Majeed A, Zhang YF, Ren S, et al. (2021) A big data-driven framework for sustainable and smart additive manufacturing. Rob Comput Integr Manuf 67: 102026. https://doi.org/10.1016/j.rcim.2020.102026 doi: 10.1016/j.rcim.2020.102026
![]() |
[24] |
May G, Psarommatis F (2023) Maximizing energy efficiency in additive manufacturing: A review and framework for future research. Energies 16: 4179. https://doi.org/10.3390/en16104179 doi: 10.3390/en16104179
![]() |
[25] | Hegab H, Khanna N, Monib N, et al. (2023) Design for sustainable additive manufacturing: A review. Sustainable Mater Technol 35: e00576. Available from: https://www.sciencedirect.com/science/article/pii/S2214993723000118. |
[26] |
Ingarao G, Priarone PC, Deng YL, et al. (2018) Environmental modelling of aluminium based components manufacturing routes: additive manufacturing versus machining versus forming. J Cleaner Prod 176: 261–275. https://doi.org/10.1016/j.jclepro.2017.12.115 doi: 10.1016/j.jclepro.2017.12.115
![]() |
[27] |
Kishawy HA, Hegab H, Saad E (2018) Design for sustainable manufacturing: approach, implementation, and assessment. Sustainability 10: 3604. https://doi.org/10.3390/su10103604 doi: 10.3390/su10103604
![]() |
[28] |
Giudice F, Barbagallo R, Fargione G (2021) A design for additive manufacturing approach based on process energy efficiency: electron beam melted components. J Cleaner Prod 290: 125185. https://doi.org/10.1016/j.jclepro.2020.125185 doi: 10.1016/j.jclepro.2020.125185
![]() |
[29] | DeBoer B, Nguyen N, Diba F, et al. (2021) Additive, subtractive, and formative manufacturing of metal components: a life cycle assessment comparison. Int J Adv Manuf Technol 115: 413–432. Available from: https://link.springer.com/article/10.1007/s00170-021-07173-5. |
[30] |
Yoris-Nobile AI, Lizasoain-Arteagab E, Slebi-Acevedo CJ, et al. (2022) Life cycle assessment (LCA) and multi-criteria decision-making (MCDM) analysis to determine the performance of 3D printed cement mortars and geopolymers. J Sustainable Cem-Based Mater 12: 609–626. https://doi.org/10.1080/21650373.2022.2099479 doi: 10.1080/21650373.2022.2099479
![]() |
[31] |
Jayawardane H, Davies IJ, Leadbeater G, et al. (2021) 'Techno-eco-efficiency' performance of 3D printed impellers: an application of life cycle assessment. Int J Sustainable Manuf 5: 44–80. https://doi.org/10.1504/IJSM.2021.116871 doi: 10.1504/IJSM.2021.116871
![]() |
[32] | Kreiger M, Pearce JM (2013) Environmental life cycle analysis of distributed three-dimensional printing and conventional manufacturing of polymer products. ACS Sustainable Chem Eng 1: 1511–1519. Available from: https://pubs.acs.org/doi/abs/10.1021/sc400093k. |
[33] |
Gopal M, Lemu HG (2023) Sustainable additive manufacturing and environmental implications: Literature review. Sustainability 15: 504. https://doi.org/10.3390/su15010504 doi: 10.3390/su15010504
![]() |
[34] | Peng T, Kellens K, Tang RZ, et al. (2018) Sustainability of additive manufacturing: An overview on its energy demand and environmental impact. Addit Manuf 21: 694–704. Available from: https://www.sciencedirect.com/science/article/pii/S2214860417302646. |
[35] |
Mecheter A, Tarlochan F, Kucukvar M (2023) A review of conventional versus additive manufacturing for metals: life-cycle environmental and economic analysis. Sustainability 15: 12299. https://doi.org/10.3390/su151612299 doi: 10.3390/su151612299
![]() |
[36] |
Tinoco MP, Mendonç a É M, Fernandez LIC, et al. (2022) Life cycle assessment (LCA) and environmental sustainability of cementitious materials for 3D concrete printing: A systematic literature review. J Build Eng 52: 104456. https://doi.org/10.1016/j.jobe.2022.104456 doi: 10.1016/j.jobe.2022.104456
![]() |
[37] |
Shuaib M, Haleem A, Kumar S, et al. (2021) Impact of 3D printing on the environment: A literature-based study. Sustainable Oper Comput 2: 57–63. https://doi.org/10.1016/j.susoc.2021.04.001 doi: 10.1016/j.susoc.2021.04.001
![]() |
[38] | Kokare S, Oliveira JP, Godina R (2023) Life cycle assessment of additive manufacturing processes: A review. J Manuf Syst 68: 536–559. Available from: https://www.sciencedirect.com/science/article/pii/S027861252300081X. |
[39] | Mehrpouya M, Vosooghnia A, Dehghanghadikolaei A, et al. (2021) The benefits of additive manufacturing for sustainable design and production. Sustainable Manuf 29–59. https://doi.org/10.1016/B978-0-12-818115-7.00009-2 |
[40] | Javaid M, Haleem A, Singh RP, et al. (2021) Role of additive manufacturing applications towards environmental sustainability. Adv Ind Eng Polym Res 4: 312–322. Available from: https://www.sciencedirect.com/science/article/pii/S254250482100049X. |
[41] | Woodward DG (1997) Life cycle costing—theory, information acquisition and application. Int J Proj Manage 15: 335–344. Available from: https://www.sciencedirect.com/science/article/pii/S0263786396000890. |
[42] | Camacho DD, Clayton P, O'Brien WJ, et al. (2018) Applications of additive manufacturing in the construction industry—A forward-looking review. Autom Constr 89: 110–119. Available from: https://www.sciencedirect.com/science/article/pii/S0926580517307847. |
[43] |
Sepasgozar SME, Shi A, Yang LM, et al. (2020) Additive manufacturing applications for industry 4.0: A systematic critical review. Buildings 10: 231. https://doi.org/10.3390/buildings10120231 doi: 10.3390/buildings10120231
![]() |
[44] |
Paolini A, Kollmannsberger S, Rank E (2019) Additive manufacturing in construction: A review on processes, applications, and digital planning methods. Addit Manuf 30: 100894. https://doi.org/10.1016/j.addma.2019.100894 doi: 10.1016/j.addma.2019.100894
![]() |
[45] |
Valino AD, Dizon JRC, Espera Jr AH, et al. (2019) Advances in 3D printing of thermoplastic polymer composites and nanocomposites. Prog Polym Sci 98: 101162. https://doi.org/10.1016/j.progpolymsci.2019.101162 doi: 10.1016/j.progpolymsci.2019.101162
![]() |
[46] |
Lee JY, An J, Chua CK (2017) Fundamentals and applications of 3D printing for novel materials. Appl Mater Today 7: 120–133. https://doi.org/10.1016/j.apmt.2017.02.004 doi: 10.1016/j.apmt.2017.02.004
![]() |
[47] | Prabhakar MM, Saravanan AK, Lenin AH, et al. (2021) A short review on 3D printing methods, process parameters and materials. Mater Today: Proc 45: 6108–6114. Available from: https://www.sciencedirect.com/science/article/pii/S2214785320378317. |
[48] | Picard M, Mohanty AK, Misra M (2020) Recent advances in additive manufacturing of engineering thermoplastics: challenges and opportunities. RSC Adv 10: 36058–36089. Available from: https://pubs.rsc.org/en/content/articlehtml/2020/ra/d0ra04857g. |
[49] |
Blok LG, Longana ML, Yu H, et al. (2018) An investigation into 3D printing of fibre reinforced thermoplastic composites. Addit Manuf 22: 176–186. https://doi.org/10.1016/j.addma.2018.04.039 doi: 10.1016/j.addma.2018.04.039
![]() |
[50] | Singh S, Ramakrishna S, Berto F (2019) 3D Printing of polymer composites: A short review. Mater Des Process Commun 2: e97. https://doi.org/10.1002/mdp2.97 |
[51] | Fred Fischer, Stratasys, Inc. Thermoplastics: the best choice for 3D printing. WHITE PAPER. Available from: https://www.smg3d.co.uk/files/ssys-wp-thermoplastics-09-11_ashx.pdf. |
[52] | Ramya A, Vanapalli SI (2016) 3D printing technologies in various applications. Int J Mech Eng Technol 7: 396–409. Available from: https://www.robolab.in/wp-content/uploads/2017/12/IJMET_07_03_036.pdf. |
[53] |
Martinez DW, Espino MT, Cascolan HM, et al. (2022) A comprehensive review on the application of 3D printing in the aerospace industry. Key Eng Mater 913: 27–34. https://doi.org/10.4028/p-94a9zb doi: 10.4028/p-94a9zb
![]() |
[54] |
Jagadeesh P, Rangappa SM, Siengchin S, et al. (2022) Sustainable recycling technologies for thermoplastic polymers and their composites: A review of the state of the art. Polym Compos 43: 5831–5862. https://doi.org/10.1002/pc.27000 doi: 10.1002/pc.27000
![]() |
[55] | Sethi B (2016) Methods of recycling. Recycl Polym: Methods, Charact Appl, 55–114. https://doi.org/10.1002/9783527689002.ch3 |
[56] |
Dogu O, Pelucchi M, Vijver RV, et al. (2021) The chemistry of chemical recycling of solid plastic waste via pyrolysis and gasification: state-of-the-art, challenges, and future directions. Prog Energy Combust 84: 100901. https://doi.org/10.1016/j.pecs.2020.100901 doi: 10.1016/j.pecs.2020.100901
![]() |
[57] | Jubinville D, Esmizadeh E, Saikrishnan S, et al. (2020) A comprehensive review of global production and recycling methods of polyolefin (PO) based products and their post-recycling applications. Sustainable Mater Technol 25: e00188. https://doi.org/10.1016/j.susmat.2020.e00188 |
[58] | Zhang F, Zhao YT, Wang DD, et al. (2021) Current technologies for plastic waste treatment: A review. J Cleaner Prod 282: 124523. Available from: https://www.sciencedirect.com/science/article/pii/S0959652620345674. |
[59] | Markandeya N, Joshi AN, Chavan NN, et al. (2023) Plastic recycling: challenges, opportunities, and future aspects. Adv Mater Recycled Waste, 317–356. Available from: https://www.sciencedirect.com/science/article/pii/B9780323856041000147. |
[60] |
Kumar M, Bolan S, Padhye LP, et al. (2023) Retrieving back plastic wastes for conversion to value added petrochemicals: Opportunities, challenges and outlooks. Appl Energy 345: 121307. https://doi.org/10.1016/j.apenergy.2023.121307 doi: 10.1016/j.apenergy.2023.121307
![]() |
[61] |
Kazemi M, Kabir SF, Fini EH (2021) State of the art in recycling waste thermoplastics and thermosets and their applications in construction. Resour Conserv Recycl 174: 105776. https://doi.org/10.1016/j.resconrec.2021.105776 doi: 10.1016/j.resconrec.2021.105776
![]() |
[62] |
Cheng FM, Li HD, Jiang W, et al. (2006) Properties of compatibilized nylon 6/ABS polymer blends. J Macromol Sci, Part B: Phys 45: 557–561. https://doi.org/10.1080/00222340600770095 doi: 10.1080/00222340600770095
![]() |
[63] |
Lay M, Thajudin NLN, Hamid ZAA, et al. (2019) Comparison of physical and mechanical properties of PLA, ABS and nylon 6 fabricated using fused deposition modeling and injection molding. Composites Part B 176: 107341. https://doi.org/10.1016/j.compositesb.2019.107341 doi: 10.1016/j.compositesb.2019.107341
![]() |
[64] |
Al-Mazrouei N, Al-Marzouqi AH, Ahmed W (2022) Characterization and sustainability potential of recycling 3D-printed nylon composite wastes. Sustainability 14: 10458. https://doi.org/10.3390/su141710458 doi: 10.3390/su141710458
![]() |
[65] |
Kuram E, Ozcelik B, Yilmaz F (2015) The effects of recycling process on thermal, chemical, rheological, and mechanical properties of PC/ABS binary and PA6/PC/ABS ternary blends. J Elastomers Plast 48: 164–181. https://doi.org/10.1177/0095244315576239 doi: 10.1177/0095244315576239
![]() |
[66] |
Farina I, Singh N, Colangelo F, et al. (2019) High-performance nylon-6 sustainable filaments for additive manufacturing. Materials 12: 3955. https://doi.org/10.3390/ma12233955 doi: 10.3390/ma12233955
![]() |
[67] |
Gomes TE, Cadete MS, Dias-de-Oliveira J, et al. (2022) Controlling the properties of parts 3D printed from recycled thermoplastics: A review of current practices. Polym Degrad Stab 196: 109850. https://doi.org/10.1016/j.polymdegradstab.2022.109850 doi: 10.1016/j.polymdegradstab.2022.109850
![]() |
[68] |
Andrady AL, Barnes PW, Bornman JF, et al. (2022) Oxidation and fragmentation of plastics in a changing environment; from UV-radiation to biological degradation. Sci Total Environ 851: 158022. https://doi.org/10.1016/j.scitotenv.2022.158022 doi: 10.1016/j.scitotenv.2022.158022
![]() |
[69] | Dilkes-Hoffman LS, Pratt S, Lant PA, et al. (2019) The role of biodegradable plastic in solving plastic solid waste accumulation. Plast Energy, 469–505. https://doi.org/10.1016/B978-0-12-813140-4.00019-4 |
[70] | Cano-Vicent A, Tambuwala MM, Hassan SS, et al. (2021) Fused deposition modelling: current status, methodology, applications and future prospects. Addit Manuf 47: 102378. Available from: https://www.sciencedirect.com/science/article/pii/S2214860421005327. |
[71] |
Gregory DA, Fricker ATR, Mitrev P, et al. (2023) Additive manufacturing of polyhydroxyalkanoate-based blends using fused deposition modelling for the development of biomedical devices. J Funct Biomater 14: 40. https://doi.org/10.3390/jfb14010040 doi: 10.3390/jfb14010040
![]() |
[72] |
Vaes D, Puyvelde PV (2021) Semi-crystalline feedstock for filament-based 3D printing of polymers. Prog Polym Sci 118: 101411. https://doi.org/10.1016/j.progpolymsci.2021.101411 doi: 10.1016/j.progpolymsci.2021.101411
![]() |
[73] |
Bakır AA, Atik R, Ö zerinç S (2021) Mechanical properties of thermoplastic parts produced by fused deposition modeling: A review. Rapid Prototyping J 27: 537–561. https://doi.org/10.1108/RPJ-03-2020-0061 doi: 10.1108/RPJ-03-2020-0061
![]() |
[74] |
Fico D, Rizzo D, Casciaro R, et al. (2022) A review of polymer-based materials for fused filament fabrication (FFF): Focus on sustainability and recycled materials. Polymers 14: 465. https://doi.org/10.3390/polym14030465 doi: 10.3390/polym14030465
![]() |
[75] |
Squires AD, Lewis RA (2018) Feasibility and characterization of common and exotic filaments for use in 3D printed terahertz devices. J Infrared Millimeter Terahertz Waves 39: 614–635. https://doi.org/10.1007/s10762-018-0498-y doi: 10.1007/s10762-018-0498-y
![]() |
[76] |
Atakok G, Kam M, Koc HB (2022) A review of mechanical and thermal properties of products printed with recycled filaments for use in 3D printers. Surf Rev Lett 29: 2230002. https://doi.org/10.1142/S0218625X22300027 doi: 10.1142/S0218625X22300027
![]() |
[77] |
Gilding DK, Reed AM (1979) Biodegradable polymers for use in surgery—poly (ethylene oxide) poly (ethylene terephthalate) (PEO/PET) copolymers: 1. Polymer 20: 1454–1458. https://doi.org/10.1016/0032-3861(79)90008-9 doi: 10.1016/0032-3861(79)90008-9
![]() |
[78] | Alshehrei F (2017) Biodegradation of synthetic and natural plastic by microorganisms. J Appl Environ Microbiol 5: 8–19. Available from: https://pubs.sciepub.com/jaem/5/1/2/. |
[79] | Sharma M, Sharma P, Sharma A, et al. (2015) Microbial degradation of plastic-A brief review. CIBTech J Microbiol 4: 85–89. Available from: https://www.cibtech.org/J-Microbiology/PUBLICATIONS/2015/Vol-4-No-1/13-CJM-MARCH-013-SUBHASH-MICROBIAL.pdf. |
[80] | Zeenat, Elahi A, Bukhari DA, et al. (2021) Plastics degradation by microbes: a sustainable approach. J King Saud Univ Sci 33: 101538. Available from: https://www.sciencedirect.com/science/article/pii/S1018364721001993. |
[81] |
Bhagia S, Bornani K, Agrawal R, et al. (2021) Critical review of FDM 3D printing of PLA biocomposites filled with biomass resources, characterization, biodegradability, upcycling and opportunities for biorefineries. Appl Mater Today 24: 101078. https://doi.org/10.1016/j.apmt.2021.101078 doi: 10.1016/j.apmt.2021.101078
![]() |
[82] |
Hassan M, Mohanty AK, Misra M (2024) 3D printing in upcycling plastic and biomass waste to sustainable polymer blends and composites: A review. Mater Des 237: 112558. https://doi.org/10.1016/j.matdes.2023.112558 doi: 10.1016/j.matdes.2023.112558
![]() |
[83] |
Anwajler B, Zdybel E, Tomaszewska-Ciosk E (2023) Innovative polymer composites with natural fillers produced by additive manufacturing (3D Printing)—A literature review. Polymers 15: 3534. https://doi.org/10.3390/polym15173534 doi: 10.3390/polym15173534
![]() |
[84] |
Rett JP, Traore YL, Ho EA (2021) Sustainable materials for fused deposition modeling 3D printing applications. Adv Eng Mater 23: 2001472. https://doi.org/10.1002/adem.202001472 doi: 10.1002/adem.202001472
![]() |
[85] | Ji AQ (2023) Utilization of biomass and industrial waste on 3D printing. Available from: https://experts.esf.edu/view/pdfCoverPage?instCode = 01SUNY_ESF & filePid = 1368217480004826 & download = true. |
[86] |
Zhao HY, Jia Y, Chen GX, et al. (2023) Research status and progress of biomass-based 3D printing materials. Innovative Technol Print Packag 991: 608–615. https://doi.org/10.1007/978-981-19-9024-3_79 doi: 10.1007/978-981-19-9024-3_79
![]() |
[87] |
Zander NE, Park JH, Boelter ZR, et al. (2019) Recycled cellulose polypropylene composite feedstocks for material extrusion additive manufacturing. ACS Omega 4: 13879–13888. https://doi.org/10.1021/acsomega.9b01564 doi: 10.1021/acsomega.9b01564
![]() |
[88] |
Kuhnt T, Camarero-Espinosa S (2021) Additive manufacturing of nanocellulose based scaffolds for tissue engineering: Beyond a reinforcement filler. Carbohydr Polym 252: 117159. https://doi.org/10.1016/j.carbpol.2020.117159 doi: 10.1016/j.carbpol.2020.117159
![]() |
[89] | Pereira C, Pereira AM, Freire C, et al. (2020) Nanoengineered textiles: from advanced functional nanomaterials to groundbreaking high-performance clothing. Handbook of Functionalized Nanomaterials for Industrial Applications, 611–714. https://doi.org/10.1016/B978-0-12-816787-8.00021-1 |
[90] |
Henke K, Treml S (2013) Wood based bulk material in 3D printing processes for applications in construction. Eur J Wood Prod 71: 139–141. https://doi.org/10.1007/s00107-012-0658-z doi: 10.1007/s00107-012-0658-z
![]() |
[91] |
Kariz M, Sernek M, Kuzman MK (2015) Use of wood powder and adhesive as a mixture for 3D printing. Eur J Wood Prod 74: 123–126. https://doi.org/10.1007/s00107-015-0987-9 doi: 10.1007/s00107-015-0987-9
![]() |
[92] |
Kromoser B, Reichenbach S, Hellmayr R, et al. (2022) Circular economy in wood construction—Additive manufacturing of fully recyclable walls made from renewables: proof of concept and preliminary data. Constr Build Mater 344: 128219. https://doi.org/10.1016/j.conbuildmat.2022.128219 doi: 10.1016/j.conbuildmat.2022.128219
![]() |
[93] |
Nadagouda MN, Ginn M, Rastogi V (2020) A review of 3D printing techniques for environmental applications. Curr Opin Chem Eng 28: 173–178. https://doi.org/10.1016/j.coche.2020.08.002 doi: 10.1016/j.coche.2020.08.002
![]() |
[94] |
Khosravani MR, Reinicke T (2020) On the environmental impacts of 3D printing technology. Appl Mater Today 20: 100689. https://doi.org/10.1016/j.apmt.2020.100689 doi: 10.1016/j.apmt.2020.100689
![]() |
[95] | Gao CJ, Wolff S, Wang S (2021) Eco-friendly additive manufacturing of metals: Energy efficiency and life cycle analysis. J Manuf Syst 60: 459–472. Available from: https://www.sciencedirect.com/science/article/pii/S0278612521001357. |
[96] | Peng T (2016) Analysis of energy utilization in 3D printing processes. Proc CIRP 40: 62–67. Available from: https://www.sciencedirect.com/science/article/pii/S2212827116000706. |
[97] |
Kanyilmaz A, Demir AG, Chierici M, et al. (2022) Role of metal 3D printing to increase quality and resource-efficiency in the construction sector. Addit Manuf 50: 102541. https://doi.org/10.1016/j.addma.2021.102541 doi: 10.1016/j.addma.2021.102541
![]() |
[98] |
Abdalla H, Fattah KP, Abdallah M, et al. (2021) Environmental footprint and economics of a full-scale 3D-printed house. Sustainability 13: 11978. https://doi.org/10.3390/su132111978 doi: 10.3390/su132111978
![]() |
[99] | Kamran M, Saxena A (2016) A comprehensive study on 3D printing technology. MIT Int J Mech Eng 6: 63–69. Available from: https://www.researchgate.net/publication/310961474_A_Comprehensive_Study_on_3D_Printing_Technology. |
[100] |
Weng YW, Li MY, Ruan SQ, et al. (2020) Comparative economic, environmental and productivity assessment of a concrete bathroom unit fabricated through 3D printing and a precast approach. J Cleaner Prod 261: 121245. https://doi.org/10.1016/j.jclepro.2020.121245 doi: 10.1016/j.jclepro.2020.121245
![]() |
[101] |
Maffia S, Chiappini F, Maggiani G, et al. (2023) Enhancing productivity and efficiency in conventional laser metal deposition process for Inconel 718—Part Ⅱ: advancing the process performance. Int J Adv Manuf Technol 129: 279–298. https://doi.org/10.1007/s00170-023-12197-0. doi: 10.1007/s00170-023-12197-0
![]() |
[102] |
Nguyen D, Murialdo M, Hornbostel K, et al. (2019) 3D Printed polymer composites for CO2 capture. Ind Eng Chem Res 58: 22015–22020. https://doi.org/10.1021/acs.iecr.9b04375 doi: 10.1021/acs.iecr.9b04375
![]() |
[103] |
Thakkar H, Eastman S, Hajari A, et al. (2016) 3D-printed zeolite monoliths for CO2 removal from enclosed environments. ACS Appl Mater Interface 8: 27753–27761. https://doi.org/10.1021/acsami.6b09647 doi: 10.1021/acsami.6b09647
![]() |
[104] |
Ligon SC, Liska R, Stampfl J, et al. (2017) Polymers for 3D printing and customized additive manufacturing. Chem Rev 117: 10212–10290. https://doi.org/10.1021/acs.chemrev.7b00074 doi: 10.1021/acs.chemrev.7b00074
![]() |
[105] |
Soliman A, AlAmoodi N, Karanikolos GN, et al. (2020) A review on new 3-D printed materials' geometries for catalysis and adsorption: paradigms from reforming reactions and CO2 capture. Nanomaterials 10: 2198. https://doi.org/10.3390/nano10112198 doi: 10.3390/nano10112198
![]() |
[106] |
Sola A (2022) Materials requirements in fused filament fabrication: A framework for the design of next-generation 3D printable thermoplastics and composites. Macromol Mater Eng 307: 2200197. https://doi.org/10.1002/mame.202200197 doi: 10.1002/mame.202200197
![]() |
[107] | Nazir MH, Al-Marzouqi AH, Ahmed W, et al. (2023) The potential of adopting natural fibers reinforcements for fused deposition modeling: Characterization and implications. Heliyon 9: e15023. Available from: https://www.cell.com/heliyon/pdf/S2405-8440(23)02230-2.pdf. |
[108] |
Salamone F, Danza L, Meroni I, et al. (2017) A low-cost environmental monitoring system: How to prevent systematic errors in the design phase through the combined use of additive manufacturing and thermographic techniques. Sensors 17: 828. https://doi.org/10.3390/s17040828 doi: 10.3390/s17040828
![]() |
[109] |
Zhao L, Yao YJ, Huang S, et al. (2023) Design and implementation of a low-cost and multi-parameter indoor air quality detector based on IoT. Int J Comput Appl T 72: 296–307. https://doi.org/10.1504/IJCAT.2023.133879 doi: 10.1504/IJCAT.2023.133879
![]() |
[110] |
Aizlewood C, Dimitroulopoulou C (2006) The HOPE project: The UK experience. Indoor Built Environ 15: 393–409. https://doi.org/10.1177/1420326X06069578 doi: 10.1177/1420326X06069578
![]() |
[111] | Wang Y, Mackenzie FV, Ingenhut B, et al. (2018) AP4. 1-miniaturized 3D printed particulate matter sensor for personal monitoring. 17th International Meeting on Chemical Sensors. https://doi.org/10.5162/IMCS2018/AP4.1 |
[112] |
Xu X, Xiao SN, Willy HJ, et al. (2020) 3D-printed grids with polymeric photocatalytic system as flexible air filter. Appl Catal B 262: 118307. https://doi.org/10.1016/j.apcatb.2019.118307 doi: 10.1016/j.apcatb.2019.118307
![]() |
[113] | Kumar AR, Arya S, Levy A, et al. (2020) Scale and numerical modeling to determine operating points of a non-clogging vortecone filter in mining operation. Prog Scale Model Int J 1, Article 7. Available from: https://uknowledge.uky.edu/psmij/vol1/iss1/7/. |
[114] |
Aghaei A, Firouzjaei MD, Karami P, et al. (2022) The implications of 3D-printed membranes for water and wastewater treatment and resource recovery. Can J Chem Eng 100: 2309–2321. https://doi.org/10.1002/cjce.24488 doi: 10.1002/cjce.24488
![]() |
[115] | Tijing LD, Dizon JRC, Ibrahim I, et al. (2020) 3D printing for membrane separation, desalination and water treatment. Appl Mater Today 18: 100486. Available from: https://www.sciencedirect.com/science/article/pii/S2352940719306055. |
[116] |
Ye YY, Du Y, Hu TY, et al. (2021) 3D printing of integrated ceramic membranes by the DLP method. Ind Eng Chem Res 60: 9368–9377. https://doi.org/10.1021/acs.iecr.1c02224 doi: 10.1021/acs.iecr.1c02224
![]() |
[117] | Kotz F, Helmer D, Rapp BE (2020) Emerging technologies and materials for high-resolution 3D printing of microfluidic chips. Microfluidics in Biotechnology 37–66. https://doi.org/10.1007/10_2020_141 |
[118] |
Jonhson W, Xu X, Bian K, et al. (2022) 3D-printed hierarchical ceramic architectures for ultrafast emulsion treatment and simultaneous oil-water filtration. ACS Mater Lett 4: 740–750. https://doi.org/10.1021/acsmaterialslett.2c00147 doi: 10.1021/acsmaterialslett.2c00147
![]() |
[119] | Jin Z, Mei H, Liu H, et al. (2022) High-strength, superhydrophilic/underwater superoleophobic multifunctional ceramics for high efficiency oil-water separation and water purification. Mater Today Nano 18: 100199. Available from: https://www.sciencedirect.com/science/article/pii/S258884202200027X. |
[120] |
Sreedhar N, Kumar M, Al Jitan S, et al. (2022) 3D printed photocatalytic feed spacers functionalized with β-FeOOH nanorods inducing pollutant degradation and membrane cleaning capabilities in water treatment. Appl Catal B 300: 120318. https://doi.org/10.1016/j.apcatb.2021.120318 doi: 10.1016/j.apcatb.2021.120318
![]() |
[121] |
Sreelekshmy BR, Rajappan AJ, Basheer R, et al. (2020) Tuning of surface characteristics of anodes for efficient and sustained power generation in microbial fuel cells. ACS Appl Bio Mater 3: 6224–6236. https://doi.org/10.1021/acsabm.0c00753 doi: 10.1021/acsabm.0c00753
![]() |
[122] | Cai T, Meng LJ, Chen G, et al. (2020) Application of advanced anodes in microbial fuel cells for power generation: A review. Chemosphere 248: 125985. Available from: https://www.sciencedirect.com/science/article/pii/S0045653520301776. |
[123] |
Mishra S, Ghosh S, Singh T (2020) Progress in materials development for flexible perovskite solar cells and future prospects. ChemSusChem 14: 512–538. https://doi.org/10.1002/cssc.202002095 doi: 10.1002/cssc.202002095
![]() |
[124] |
Liu CH, Xiao CY, Xie CC, et al. (2021) Flexible organic solar cells: materials, large-area fabrication techniques and potential applications. Nano Energy 89: 106399. https://doi.org/10.1016/j.nanoen.2021.106399 doi: 10.1016/j.nanoen.2021.106399
![]() |
[125] | Tian YX, Wang XQ, Li J, et al. (2022) Rapid manufacturing of turbine blades based on reverse engineering and 3D printing technology. Proceedings of 2022 Chinese Intelligent Systems Conference, 540–553. https://doi.org/10.1007/978-981-19-6203-5_53 |
[126] |
Rahimizadeh A, Kalman J, Fayazbakhsh K, et al. (2021) Mechanical and thermal study of 3D printing composite filaments from wind turbine waste. Polym Compos 42: 2305–2316. https://doi.org/10.1002/pc.25978 doi: 10.1002/pc.25978
![]() |
[127] | Dzogbewu TC, Beer DJ (2023) Additive manufacturing of selected ecofriendly energy devices. Virtual Phys Prototyp 18: e2150230. https://doi.org/10.1080/17452759.2023.2276245 |
[128] |
Browne MP, Redondo E, Pumera M (2020) 3D printing for electrochemical energy applications. Chem Rev 120: 2783–2810. https://doi.org/10.1021/acs.chemrev.9b00783 doi: 10.1021/acs.chemrev.9b00783
![]() |
[129] | Wang H, Xiong BD, Zhang ZT, et al. (2023) Small wind turbines and their potential for internet of things applications. iScience 26: 107674. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497799/. |
[130] |
Kantaros A, Soulis E, Petrescu FIT, et al. (2023) Advanced composite materials utilized in FDM/FFF 3D printing manufacturing processes: the case of filled filaments. Materials 16: 6210. https://doi.org/10.3390/ma16186210 doi: 10.3390/ma16186210
![]() |
[131] |
Al-Maharma AY, Patil SP, Markert B (2020) Effects of porosity on the mechanical properties of additively manufactured components: A critical review. Mater Res Express 7: 122001. https://doi.org/10.1088/2053-1591/abcc5d doi: 10.1088/2053-1591/abcc5d
![]() |
[132] |
Okolie O, Kumar A, Edwards C, et al. (2023) Bio-based sustainable polymers and materials: From processing to biodegradation. J Compos Sci 7: 213. https://doi.org/10.3390/jcs7060213 doi: 10.3390/jcs7060213
![]() |
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Cathode material | Chemistry | Raw material cost ($/kg) | Energy density of LIB cells (Whkg−1) |
Stability/ Safety |
Lifetime | Applications |
LCO (Lithium Cobalt Oxide) | LiCoO2 | 36 | 200 | Low | Poor | Mobile phones, laptops, camcorders |
NMC (Lithium Nickel Manganese Cobalt) | LiNi1/3 Mn1/3 CO1/3O2 (NMC111) | 19 | 130–241 | Low | Good | Electric vehicles (GM, Ford, Volkswagen, Toyota, Hyundai), power tools, e-bikes, energy storage systems |
LiNi0.6 Mn0.2 CO0.2O2 (NMC622) | 16–19 | 130–241 | Med | Good | ||
LiNi0.8 Mn0.1 CO0.1O2 (NMC811) | 16 | 130–241 | Med | Good | ||
LMO (Lithium Manganese Oxide) | LiMn2O4 | 5 | 150 | Med-High | Poor | Electric vehicles (e.g., Nissan Leaf, Renault Zoe, BMW), power tools, medical devices, e-bikes, e-scooters |
LFP (Lithium Iron Phosphate) | LiFePO4 | 6 | 120–140 | High | Good | Electric vehicles (Chinese and early US cars), electric buses, power tools, utility vehicles, lead-acid replacement |
NCA (Lithium Nickel Cobalt Aluminum Oxide) | LiNixCoyAlzO2 | 20 | 236–260 | Med | Poor-Good | Electric vehicles (e.g., Tesla), stationary applications, laptops, medical devices, e-scooters |
Category | Advantages | Disadvantages |
Direct recycling | ● Crystal structure of cathode preserved, easier for direct reuse ● Potentially more economical and environmentally friendly than hydro- or pyro-processes |
● Low technology readiness level ● Pre-sorting of battery cathode types ● Performance of recovered materials may be inferior to that of virgin materials ● Mixing cathode materials could reduce the value of the recycled product ● Recovered cathodes may become obsolete with changing battery composition |
Pyrometallurgy | ● Applicable to any battery type and large processing capacity ● No pretreatment needed and simple operation ● Typically loss of Li and Al in the slag |
● Gas clean-up is required to avoid toxic air emission ● High capital cost ● Energy-intensive ● Further refining is needed to produce individual metals from produced alloys |
Hydrometallurgy | ● Applicable to any battery type ● Flexibility in targeting recycled metals ● Energy-efficient compared to pyro |
● Battery cells must be crushed ● High consumption of chemical reagents ● Treatment required for the high volume of process effluents and hazardous generated acidic/alkaline chemical compounds |
Company | Location | Capacity (tons of LIB feedstock/year) | Technology | Main end product |
Umicore | Belgium | 7,000 | Pyrometallurgy and hydrometallurgy | CoCl2 |
Inmetco | U.S.A. | 6,000 | Pyrometallurgy | Alloy (Co/ Ni/Fe) |
Redwood Materials | U.S.A | 18,000 | Mechanical and hydrometallurgy | Li2CO3, NiSO4, CoSO4, graphite |
Retriev Technologies (Toxco) | U.S.A./Canada | 4,500 | Mechanical and hydrometallurgy | Li2CO3 |
Akkuser ltd. | Finland | 4,000 | Mechanical | Metal powder |
Accurec GmbH | Germany | 6,000 | Pyrometallurgy and hydrometallurgy | Co alloy, Li2CO3 |
Duesenfeld | Germany | 3,000 | Mechanical and hydrometallurgy | CoSO4, NiSO4, MnSO4, Li2CO3, graphite |
Redux | Germany and Austria | 10,000 | Mechanical and hydrometallurgy | Not specified |
Glencore plc. | Canada/ Norway | 7,000 | Pyrometallurgy and hydrometallurgy | Alloy (Co/Ni/Cu) |
Li-Cycle | U.S.A/Canada | 10,000 | Mechanical and hydrometallurgy | Li2CO3, CoSO4, NiSO4 |
SungEel Hitech | South Korea | 24,000 | Hydrometallurgy | Li3PO4, NMC precursor |
Dowa | Japan | 1,000 | Pyrometallurgy | Co, Ni, Mn |
Source | [90] | [91] | [92] | [86] |
Waste lithium-ion battery purchasing | 12,018 | 20,000 | - | 12,018 |
Chemical solution | 2,500 | 920 | 2,500 | |
Electricity | 620 | 650 | 620 | |
Dismantling and separation | 500 | - | 500 | |
Waste-water treatment | 330 | 550 | 330 | |
Residue treatment | 120 | 120 | ||
Labor cost | 470 | 800 | 720 | 410 |
Transportation fee | 2,000 | 368 | ||
Maintenance fee | 100 | 500 | 3,200 | 100 |
Facility depreciation | 536 | 536 | ||
Total | 19,283 | 22,500 | - | 17,500 |
Life cycle stage | Initiative | Current policies and recommendations |
Battery/vehicle production | Material selection | BD: No restriction on LIB materials (i.e., considered non-hazardous) ELV: Prohibits use of hazardous substances in vehicles CA state: Classifies LIBs as hazardous due to excessive levels of cobalt, copper, and nickel |
Design for EOL | BD, ELV: Appliance or vehicle design should facilitate battery/component removal | |
Labeling or identification | BD: Labeling of heavy metal content (mercury, lead, and cadmium) and landfill ban ELV: Material and component coding standards for identification CA, MN: Battery type (e.g., LIBs and NiCd) and note on recycling and safe disposal |
|
Use phase | Repair or maintenance | EU waste directive: Defines "waste hierarchy" wherein waste prevention through product life span extension precedes other EOL management routes |
Collection | Extended producer responsibility | BD: Collection financed by battery producers or third parties acting on their behalf ELV: EPR collection scheme applied to the vehicle batteries CA, NY, MN: Retailer or battery manufacturer to provide free EOL battery collection Call2Recycle: Product stewardship program providing no-cost battery collection across the United States and Canada funded by battery and product manufacturers |
Transport | Shipping guidelines (Class 9 miscellaneous hazardous material) | BD: Waste batteries exported for recycling should comply with waste shipment laws LIB transport regulated by the US department of transportation, US hazardous materials regulations, international civil aviation organization, international air transport association, and international maritime dangerous goods, which provide packaging, labeling, shipping, and fire hazard prevention instructions |
Recycling | Targets and process guidelines | BD: 50% recycling efficiency and rules for calculating the efficiency ELV, BD: Very brief guidelines for dismantling, storage, and handling of batteries (e.g., electrolyte removal, metal and plastic removal, and sorting) |
Incineration and landfill | Prohibition | BD: Landfill and incineration prohibited ELV: Waste-to-energy and landfill of non-recycled vehicle components allowed CA, NY, MN: Landfill ban only (with ineffective or no penalty for non-compliance) |
Notes: BD: EU Battery Directive; ELV: EU end-of-life vehicle directive; NYS: New York Rechargeable Battery Recycling Act (2010); CA: California's Rechargeable Battery Recycling Act (2006); MN: Minnesota Rechargeable Batteries and Products law (1994). |
Reference | Decision variable | Objective function | Modeling approach | Solution method | Sustainability dimension | Country/State |
[25] | Optimizing facility locations and material flows for three alternative strategies: recycling, disposal, and remanufacturing EOL LIBs | Minimizing operations cost and CO2 emissions | Mixed integer linear programming | Genetic algorithm | Economic and Environmental | China |
[104] | Integrating LIB remanufacturing and recycling into a forward supply chain and optimizing the facility location and material flow | Maximizing profit | Mixed integer non-linear programming | Particle swarm optimization | Economic | - |
[105] | Determining the optimal investment plan for a sequential deployment of LIB recycling plants | Maximizing net present value | Mixed integer linear programming | CPLEX software | Economic | Germany |
[106] | Optimizing facility location, transportation quantity, and allocation of demand zones to each facility | Minimizing total annual cost | Mixed integer linear programming | Unspecified | Economic | Sweden |
[107] | Optimizing facility location | Minimizing capital and transportation costs | LCA & Geographic information system | Unspecified | Economic and Environmental | California |
Cathode material | Chemistry | Raw material cost ($/kg) | Energy density of LIB cells (Whkg−1) |
Stability/ Safety |
Lifetime | Applications |
LCO (Lithium Cobalt Oxide) | LiCoO2 | 36 | 200 | Low | Poor | Mobile phones, laptops, camcorders |
NMC (Lithium Nickel Manganese Cobalt) | LiNi1/3 Mn1/3 CO1/3O2 (NMC111) | 19 | 130–241 | Low | Good | Electric vehicles (GM, Ford, Volkswagen, Toyota, Hyundai), power tools, e-bikes, energy storage systems |
LiNi0.6 Mn0.2 CO0.2O2 (NMC622) | 16–19 | 130–241 | Med | Good | ||
LiNi0.8 Mn0.1 CO0.1O2 (NMC811) | 16 | 130–241 | Med | Good | ||
LMO (Lithium Manganese Oxide) | LiMn2O4 | 5 | 150 | Med-High | Poor | Electric vehicles (e.g., Nissan Leaf, Renault Zoe, BMW), power tools, medical devices, e-bikes, e-scooters |
LFP (Lithium Iron Phosphate) | LiFePO4 | 6 | 120–140 | High | Good | Electric vehicles (Chinese and early US cars), electric buses, power tools, utility vehicles, lead-acid replacement |
NCA (Lithium Nickel Cobalt Aluminum Oxide) | LiNixCoyAlzO2 | 20 | 236–260 | Med | Poor-Good | Electric vehicles (e.g., Tesla), stationary applications, laptops, medical devices, e-scooters |
Category | Advantages | Disadvantages |
Direct recycling | ● Crystal structure of cathode preserved, easier for direct reuse ● Potentially more economical and environmentally friendly than hydro- or pyro-processes |
● Low technology readiness level ● Pre-sorting of battery cathode types ● Performance of recovered materials may be inferior to that of virgin materials ● Mixing cathode materials could reduce the value of the recycled product ● Recovered cathodes may become obsolete with changing battery composition |
Pyrometallurgy | ● Applicable to any battery type and large processing capacity ● No pretreatment needed and simple operation ● Typically loss of Li and Al in the slag |
● Gas clean-up is required to avoid toxic air emission ● High capital cost ● Energy-intensive ● Further refining is needed to produce individual metals from produced alloys |
Hydrometallurgy | ● Applicable to any battery type ● Flexibility in targeting recycled metals ● Energy-efficient compared to pyro |
● Battery cells must be crushed ● High consumption of chemical reagents ● Treatment required for the high volume of process effluents and hazardous generated acidic/alkaline chemical compounds |
Company | Location | Capacity (tons of LIB feedstock/year) | Technology | Main end product |
Umicore | Belgium | 7,000 | Pyrometallurgy and hydrometallurgy | CoCl2 |
Inmetco | U.S.A. | 6,000 | Pyrometallurgy | Alloy (Co/ Ni/Fe) |
Redwood Materials | U.S.A | 18,000 | Mechanical and hydrometallurgy | Li2CO3, NiSO4, CoSO4, graphite |
Retriev Technologies (Toxco) | U.S.A./Canada | 4,500 | Mechanical and hydrometallurgy | Li2CO3 |
Akkuser ltd. | Finland | 4,000 | Mechanical | Metal powder |
Accurec GmbH | Germany | 6,000 | Pyrometallurgy and hydrometallurgy | Co alloy, Li2CO3 |
Duesenfeld | Germany | 3,000 | Mechanical and hydrometallurgy | CoSO4, NiSO4, MnSO4, Li2CO3, graphite |
Redux | Germany and Austria | 10,000 | Mechanical and hydrometallurgy | Not specified |
Glencore plc. | Canada/ Norway | 7,000 | Pyrometallurgy and hydrometallurgy | Alloy (Co/Ni/Cu) |
Li-Cycle | U.S.A/Canada | 10,000 | Mechanical and hydrometallurgy | Li2CO3, CoSO4, NiSO4 |
SungEel Hitech | South Korea | 24,000 | Hydrometallurgy | Li3PO4, NMC precursor |
Dowa | Japan | 1,000 | Pyrometallurgy | Co, Ni, Mn |
Source | [90] | [91] | [92] | [86] |
Waste lithium-ion battery purchasing | 12,018 | 20,000 | - | 12,018 |
Chemical solution | 2,500 | 920 | 2,500 | |
Electricity | 620 | 650 | 620 | |
Dismantling and separation | 500 | - | 500 | |
Waste-water treatment | 330 | 550 | 330 | |
Residue treatment | 120 | 120 | ||
Labor cost | 470 | 800 | 720 | 410 |
Transportation fee | 2,000 | 368 | ||
Maintenance fee | 100 | 500 | 3,200 | 100 |
Facility depreciation | 536 | 536 | ||
Total | 19,283 | 22,500 | - | 17,500 |
Life cycle stage | Initiative | Current policies and recommendations |
Battery/vehicle production | Material selection | BD: No restriction on LIB materials (i.e., considered non-hazardous) ELV: Prohibits use of hazardous substances in vehicles CA state: Classifies LIBs as hazardous due to excessive levels of cobalt, copper, and nickel |
Design for EOL | BD, ELV: Appliance or vehicle design should facilitate battery/component removal | |
Labeling or identification | BD: Labeling of heavy metal content (mercury, lead, and cadmium) and landfill ban ELV: Material and component coding standards for identification CA, MN: Battery type (e.g., LIBs and NiCd) and note on recycling and safe disposal |
|
Use phase | Repair or maintenance | EU waste directive: Defines "waste hierarchy" wherein waste prevention through product life span extension precedes other EOL management routes |
Collection | Extended producer responsibility | BD: Collection financed by battery producers or third parties acting on their behalf ELV: EPR collection scheme applied to the vehicle batteries CA, NY, MN: Retailer or battery manufacturer to provide free EOL battery collection Call2Recycle: Product stewardship program providing no-cost battery collection across the United States and Canada funded by battery and product manufacturers |
Transport | Shipping guidelines (Class 9 miscellaneous hazardous material) | BD: Waste batteries exported for recycling should comply with waste shipment laws LIB transport regulated by the US department of transportation, US hazardous materials regulations, international civil aviation organization, international air transport association, and international maritime dangerous goods, which provide packaging, labeling, shipping, and fire hazard prevention instructions |
Recycling | Targets and process guidelines | BD: 50% recycling efficiency and rules for calculating the efficiency ELV, BD: Very brief guidelines for dismantling, storage, and handling of batteries (e.g., electrolyte removal, metal and plastic removal, and sorting) |
Incineration and landfill | Prohibition | BD: Landfill and incineration prohibited ELV: Waste-to-energy and landfill of non-recycled vehicle components allowed CA, NY, MN: Landfill ban only (with ineffective or no penalty for non-compliance) |
Notes: BD: EU Battery Directive; ELV: EU end-of-life vehicle directive; NYS: New York Rechargeable Battery Recycling Act (2010); CA: California's Rechargeable Battery Recycling Act (2006); MN: Minnesota Rechargeable Batteries and Products law (1994). |
Reference | Decision variable | Objective function | Modeling approach | Solution method | Sustainability dimension | Country/State |
[25] | Optimizing facility locations and material flows for three alternative strategies: recycling, disposal, and remanufacturing EOL LIBs | Minimizing operations cost and CO2 emissions | Mixed integer linear programming | Genetic algorithm | Economic and Environmental | China |
[104] | Integrating LIB remanufacturing and recycling into a forward supply chain and optimizing the facility location and material flow | Maximizing profit | Mixed integer non-linear programming | Particle swarm optimization | Economic | - |
[105] | Determining the optimal investment plan for a sequential deployment of LIB recycling plants | Maximizing net present value | Mixed integer linear programming | CPLEX software | Economic | Germany |
[106] | Optimizing facility location, transportation quantity, and allocation of demand zones to each facility | Minimizing total annual cost | Mixed integer linear programming | Unspecified | Economic | Sweden |
[107] | Optimizing facility location | Minimizing capital and transportation costs | LCA & Geographic information system | Unspecified | Economic and Environmental | California |