Cleaner Engineering and Technology最新文献

{"title":"Cradle-to-gate life cycle assessment of hemp utilization for biocomposite pellet production: A case study with data quality assurance process","authors":"Niloofar Akbarian-Saravi ,&nbsp;Taraneh Sowlati ,&nbsp;Abbas S. Milani","doi":"10.1016/j.clet.2025.101027","DOIUrl":"10.1016/j.clet.2025.101027","url":null,"abstract":"<div><div>Natural fiber biomass pre-processing practices, including collection and particle size reduction, are crucial for sustainable manufacturing. This industrial case study evaluates the environmental impact of producing fully hemp-derived biocomposite pellets using different biomass collection and pre-processing equipment configurations, in order to identify the most efficient and eco-friendly operational option. The system boundary follows a cradle-to-gate approach, covering upstream activities such as cultivation, harvesting, size reduction, transportation, and pellet manufacturing. Namely, an attributional Life Cycle Assessment (LCA) is performed using a functional unit of 1 tonne of biocomposite, comparing four Supply Chain (SC) design alternatives involving different baler (round/square) and size reduction equipment (full/half screen hammer mill) options. We specifically delve into the relative difference of the combination of a full-screen hammer mill and a square baler (called \"full-square\" as a best-case/reference alternative), as compared to the half-screen hammer mill and round baler (\"half-round\" as a worst-case alternative). Results indicated that the half-round alternative exhibited 30–44 % higher environmental impacts due to 30 % higher harvested biomass and 9 % higher diesel usage per tonne of produced biocomposite, but resulted in higher product quality compared to the full-square alternative. The harvesting stage, linked to the use of biomass, fertilizers, and diesel fuels, was identified as a critical contributor to the environmental impact in all the important impact categories. Sensitivity analysis revealed that a 10–30 % increase in biomass yield could reduce impacts across all categories by approximately 7–20 %. Further exploring the potential for environmental impact mitigation, a scenario-based improvement model integrating substitution of nitrogen fertilizer with compost, diesel-to-natural gas switching, ethanol recycling, and increased hemp yield, was conducted and it demonstrated up to 85 % GWP reduction compared to the baseline. Also, the improved biocomposite scenario achieved 57 % lower GWP and 43 % lower smog formation than a virgin PET, while outperforming it in fossil fuel depletion. These findings support the viability of hemp-based biocomposites under improved conditions and emphasize the importance of strategic SC decisions for sustainable material development.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"27 ","pages":"Article 101027"},"PeriodicalIF":5.3,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144491522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adsorption of Pb(II) from synthetic wastewater with alkali-activated blast furnace slag and lignin composite","authors":"M.A.H. Bhuyan ,&nbsp;J. Carvalheiras ,&nbsp;R.M. Novais ,&nbsp;T. Luukkonen","doi":"10.1016/j.clet.2025.101033","DOIUrl":"10.1016/j.clet.2025.101033","url":null,"abstract":"<div><div>Lead contamination in water is a serious environmental concern due to its ecotoxic effects. Adsorption is one possible method for treating lead-contaminated water. In this study, the functionalization of alkali-activated blast furnace slag, which is a comparatively new research area, was explored using lignin, and its potential in adsorbing lead from water was investigated. The lignin integration was confirmed by total organic carbon analysis, thermogravimetry, and Fourier-transform infrared spectroscopy. The composite material exhibited 14 units higher lead removal efficiency in comparison to alkali-activated slag without lignin. The effects of contact time (0–6 h), adsorbent dose (0.25–1.5 g/L), initial concentration (50–400 mg/L), pH (3–5), and temperature (20–30 °C) on lead adsorption by the composite were investigated. The optimum conditions were contact time 2 h, pH 5, adsorbent dose 1.5 g/L, initial concentration 100 mg/L, and temperature 30 °C. The adsorption equilibrium was reached after 2 h. X-ray photoelectron spectroscopy analysis showed enhanced lead adsorption by the composite compared to alkali-activated blast furnace slag without lignin. The adsorption kinetics could be described by the pseudo-second order model and adsorption equilibrium by the Freundlich isotherm. The composite exhibited the highest adsorption amount of approximately 139 mg/g. Thermodynamic parameters, such as changes in enthalpy, entropy, and Gibbs energy, were also evaluated, indicating that the reaction is spontaneous and endothermic.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"27 ","pages":"Article 101033"},"PeriodicalIF":5.3,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing construction supply chain Sustainability: The synergistic role of big data analytics and organizational culture using SEM","authors":"Amir Mohammad Norouzzadeh ,&nbsp;Seyed Pendar Toufighi ,&nbsp;Abolfazl Edalatipour ,&nbsp;Jan Vang ,&nbsp;Mooud Dabaghi Roodsari","doi":"10.1016/j.clet.2025.101025","DOIUrl":"10.1016/j.clet.2025.101025","url":null,"abstract":"<div><div>The construction industry significantly impacts global sustainability, driving a pressing need to adopt innovative strategies that integrate advanced technologies and organizational dynamics. This study examines the interplay between Big Data Analytics (BDA) and Organizational Culture (OC) in promoting Construction Supply Chain Sustainability (CSCS). Using Structural Equation Modeling (SEM) and data from 190 respondents in Iran's construction sector, the research evaluates both the direct and mediating effects of BDA and OC on the economic, social, and environmental dimensions of CSCS. The findings reveal that BDA directly enhances supply chain sustainability by optimizing resource management, reducing waste, and improving decision-making processes. OC also significantly influences sustainability by fostering a collaborative, data-driven, and adaptive environment that supports BDA implementation. Notably, BDA mediates the relationship between OC and sustainability, bridging cultural dynamics with actionable insights. This study extends theoretical contributions by integrating digitalization and organizational frameworks, emphasizing the importance of aligning OC with technological advancements to achieve sustainability. The results provide practical implications for policymakers and industry leaders, advocating for investments in BDA infrastructure and cultivating a sustainability-oriented organizational culture.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"27 ","pages":"Article 101025"},"PeriodicalIF":5.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multivariate predictive modeling of compressive strength in ground granulated blast furnace slag/fly ash-based alkali-activated concrete","authors":"Dina A. Emarah","doi":"10.1016/j.clet.2025.101021","DOIUrl":"10.1016/j.clet.2025.101021","url":null,"abstract":"<div><div>The environmental challenges associated with cement production have driven the development of alkali-activated concrete (AAC) as a sustainable alternative to Portland cement-based materials. AAC incorporates industrial byproducts, such as fly ash (FA) and ground granulated blast furnace slag (GGBFS), as binders, significantly reducing carbon emissions. While many studies have explored predictive modeling of AAC's compressive strength (CS), this study stands out by addressing critical gaps in the field. Using a comprehensive dataset of 1590 samples with 14 input variables, it captures the complex, multi-variable dependencies affecting AAC's mechanical behavior. Unlike previous studies that often focus on a limited set of parameters or single-variable models, this work evaluates and compares four advanced predictive models: Linear Regression (LR), Multi-Linear Regression (MLR), Non-Linear Regression (NLR), and Artificial Neural Networks (ANN). The ANN model, with its ability to handle non-linear interactions, significantly outperformed traditional methods, achieving the highest Coefficient of Determination (R² = 0.96) and the lowest Root Mean Squared Error (RMSE = 2.82 MPa). Moreover, this study introduces a sensitivity comparison that was carried out for the ANN model to discover and analyze the most critical input parameter that influences the CS of AAC. The results reveal that curing temperature is the most influential factor, followed by the alkaline solution-to-binder (AL/b) ratio, sodium hydroxide concentration, and specimen age. Additionally, the study introduced advanced performance metrics, including R², RMSE, Scatter Index (SI), Objective Function (OBJ), and Scatter Index (SI), to provide a more robust validation of the models. By incorporating diverse parameters, employing advanced machine learning techniques, and performing a comprehensive sensitivity analysis, this research establishes a new benchmark for predictive modeling of AAC's CS. The findings offer actionable insights for optimizing AAC formulations and further support the broader adoption of AAC as an eco-friendly construction material. In addition, this study lays the foundation for future innovations, including hybrid modeling approaches and sustainability-focused assessments.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"27 ","pages":"Article 101021"},"PeriodicalIF":5.3,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The climate-related risk profile of the energy-intensive and natural resource-based industries: Evidence from 2020–2023","authors":"André Månberger,&nbsp;Fredric Bauer,&nbsp;Lars J. Nilsson","doi":"10.1016/j.clet.2025.101026","DOIUrl":"10.1016/j.clet.2025.101026","url":null,"abstract":"<div><div>This study investigates the perception and understanding of climate-related risks among six energy-intensive and natural resource-based industry (ENRI) sectors using data from the CDP survey from 2020 to 2023. ENRI sectors, including fossil fuels; cement and concrete; chemicals; metallic smelting; refining; and forming; metallic mineral mining; and pulp and paper mills, are exposed to significant climate-related risks due to their capital-intensive activities and long investment cycles. Our analysis confirms that ENRI firms identify and report more climate-related risks with higher estimated impacts compared to other firms in some risk categories, indicating higher awareness. However, ENRI firms tend to prioritise risks with high impact and high likelihood, and likely underestimate the uncertainty and financial impacts of climate-related risks, such as stranded assets.</div><div>The study highlights the need for improved climate risk governance. Investors and voluntary disclosure initiatives should encourage firms to assess and report uncertain and high-impact risks, using explorative scenarios to overcome biases. Policymakers must enhance the credibility of climate policies by implementing comprehensive measures to support industrial transformation and stricter guidelines for climate-related risk disclosure.</div><div>Understanding ENRI firms' perspectives on risks is crucial for informing policy and investment decisions to ensure alignment with net-zero targets. Future research should explore factors influencing risk perception, mitigation strategies, and business opportunities, and examine firms' processes for identifying and managing climate-related risks.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"27 ","pages":"Article 101026"},"PeriodicalIF":5.3,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental impact assessment of organic Rankine cycle using waste heat from the aluminium industry","authors":"Monika Dokl,&nbsp;Gaja Strajnar,&nbsp;Annamaria Vujanović,&nbsp;Jan Puhar,&nbsp;Zdravko Kravanja,&nbsp;Lidija Čuček","doi":"10.1016/j.clet.2025.101022","DOIUrl":"10.1016/j.clet.2025.101022","url":null,"abstract":"<div><div>Waste heat recovery technologies play an important role in enhancing energy efficiency and supporting sustainable energy production. This study investigates the utilization of waste heat from aluminium production through an Organic Rankine Cycle (ORC) system to generate electricity and heat simultaneously. Based on operational data from an aluminium plant, the system is firstly optimized from both the thermodynamic and economic perspectives. To maximize performance and to identify optimal configurations, a mathematical model is developed and solved using GAMS, capturing the complex interdependencies between the operational, economic and thermodynamic parameters. The environmental impact of the optimized scenarios is subsequently evaluated using a Life Cycle Assessment (LCA), considering a broad range of impact categories. The results indicate a maximum power output of 830.9 kW and a maximum net present value (NPV) of 51.71 M€, confirming the system's technical and economic viability. The environmental assessment demonstrates the potential of ORC systems as sustainable energy solutions, with significant environmental unburdening under optimized operating conditions (up to −606.0 kg CO₂ eq./h). A sensitivity analysis indicates that the greatest environmental benefits occur under the optimal thermodynamic scenario, achieved through the utilization of higher-energy flue gas streams (up to −515.0 kg CO₂ eq./h), and under the optimal economic scenario by balancing the electricity and heat prices optimally for simultaneous heat and power production (up to −696.7 kg CO₂ eq./h). These findings highlight the importance of the thermal input quality and availability in maximizing ORC performance. With the ability to prioritize electricity, heat, or both, the optimized ORC systems support flexible energy solutions tailored to specific applications and environmental conditions, offering a promising pathway for unburdening the environment through the efficient utilization of industrial waste heat.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"27 ","pages":"Article 101022"},"PeriodicalIF":5.3,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of bioadmixture dosage on mechanical and self-healing properties of cement paste containing incinerated sugarcane press mud","authors":"Zerlinda Mara Ditta ,&nbsp;Peerawat Laohana ,&nbsp;Nantawat Tanapongpisit ,&nbsp;Wittawat Saenrang ,&nbsp;Sophon Boonlue ,&nbsp;Darunee Kaewpikul ,&nbsp;Vanchai Sata ,&nbsp;Prinya Chindaprasirt ,&nbsp;Jindarat Ekprasert","doi":"10.1016/j.clet.2025.101023","DOIUrl":"10.1016/j.clet.2025.101023","url":null,"abstract":"<div><div>The cement industry is one of the major sources of greenhouse gas. Replacing cement with alternative materials such as incinerated sugarcane press mud (IWFC) is promising for reducing CO₂ emissions, but the quality of materials is diminished. This research then aims to investigate the influence of bioadmixture, calcifying bacteria <em>Lysinibacillus</em> sp. WH, at three bacterial dosage concentrations (10⁸, 10⁹, and 10¹⁰ CFU/mL) on microstructural development and mechanical enhancement of Portland cement paste and cement pastes containing varied ratios of IWFC. The results show that the bacterial concentration of 10¹⁰ CFU/mL effectively enhances mechanical characteristics of IWFC-cement pastes, while lower concentration is more favorable to Portland cement paste (P). Here, we are the first to provide evidence that the properties of cement paste composites comparable to Portland cement paste can be achieved even when the IWFC is replaced with cement as high as 20 % by weight together with the incorporation of calcifying bacteria. Moreover, IWFC-cement pastes with high bacterial concentration of 10¹⁰ CFU/mL exhibit the fastest self-healing ability within two weeks. The regained strength after healing is &gt;85 % in all composite specimens. Overall, this work provides an effective method to develop durable and eco-friendly cement.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"27 ","pages":"Article 101023"},"PeriodicalIF":5.3,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance enhancement and integrating renewable energy into reverse osmosis seawater desalination system in the Moroccan coastal region","authors":"Otman Abida ,&nbsp;Hanane Ait Lahoussine Ouali ,&nbsp;Nouhaila Belkaid ,&nbsp;Mohamed Essalhi ,&nbsp;Emil Obeid ,&nbsp;Nisar Ali","doi":"10.1016/j.clet.2025.101017","DOIUrl":"10.1016/j.clet.2025.101017","url":null,"abstract":"<div><div>This study investigates the energy consumption and environmental challenges of the Phosboucraa seawater desalination plant in Laayoune, southern Morocco, used as a work-study to explore strategies for enhancing energy efficiency, carbon mitigation and sustainability. The plant, which produces 4000 m³/day of fresh water for phosphate washing, currently operates at a high energy demand of approximately 8 kWh/m³. To address these challenges, four strategic scenarios were evaluated: the implementation of Pressure Exchanger (PX) technology, Ultrafiltration (UF), a single sand filter type, and the integration of renewable energy sources into the desalination process. Key findings indicate that PX technology significantly reduced energy consumption to 2.8 kWh/m³, while UF pretreatment provided a balanced outcome with a permeate flow rate of 78.62 m³/h at 2.88 kWh/m³. The single trilayer sand filter scenario achieved the highest permeate flow rate of 82.18 m³/h, but at a higher energy consumption of 3.01 kWh/m³. The optimal hybrid renewable energy system, comprising a 233 kW Photovoltaic (PV) panel, two 1500 kW wind turbines (WTs), a 965 kW converter, a 2100 kW diesel generator, and 3963 batteries, achieved the lowest Levelized Cost of Energy (LCOE) at 0.194 $/kWh and the lowest Net Present Cost (NPC) of 21.9 million $, with a renewable fraction of approximately 80.5 %. The integration of renewable energy sources led to a substantial reduction in CO₂ emissions, decreasing by approximately 80 % compared to conventional diesel-powered operations. Future work will focus on integrating battery storage and developing intelligent control mechanisms to improve system stability and reliability, making hybrid desalination systems a key solution for water security in energy-resource-rich coastal regions.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"27 ","pages":"Article 101017"},"PeriodicalIF":5.3,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A green and reusable floatable bead-like core-shell photocatalyst with spinel ferrite core and shell consisting of graphitic carbon nitride nanosheet, enhanced by non-noble metal cocatalyst for anionic dye removal","authors":"Asma Jami-al-Ahmadi ,&nbsp;Mahmood Hajiani ,&nbsp;Mohammad Hossein Sayadi","doi":"10.1016/j.clet.2025.101015","DOIUrl":"10.1016/j.clet.2025.101015","url":null,"abstract":"<div><div>The practical utilization of powder photocatalysts is frequently obstructed by various drawbacks including rapid charge recombination, low photon utilization, post-treatment separation, photocorrosion, and the potential environmental risks associated with sedimentation. This study aims to mitigate these challenges through the fabrication of a novel spherical, floatable magnetic core-shell photocatalyst (NiFe₂O₄-Sodium Alginate@ SnO₂-g-C₃N₄), using spinel ferrite nanoparticles (NiFe₂O₄) as the core and SnO₂-g-C₃N₄ catalysts as the shell. The shell was synthesized hydrothermally, while a green synthesis approach was used for the core. The fabrication involved a gelation process to combine the shell with the core, resulting in transparent spheres with improved floating capabilities after freeze-drying. The successful synthesis was confirmed through characterization techniques such as XRD, FT-IR, EDX, XPS, and FESEM. The photocatalytic efficiency was assessed by degrading Acid Red 88 in a 200 mL batch reactor under UV-C lamp irradiation as light sources, using ambient temperature as the experimental condition. Various parameters were tested, including pH levels (3, 5, 7, 9, and 11), photocatalyst dosages (0.2, 0.4, 0.6, 0.8, and 1 g/L), and dye concentrations (10, 20, 30, 40, and 50 mg/L), in order to determine the optimal conditions. The results demonstrated a removal efficiency of 97.41 % under optimal conditions of pH 11, a photocatalyst dosage of 0.4 g/L, and an initial dye concentration of 20 mg/L. Stability and reusability tests conducted over five cycles showed a slight decrease in efficiency, from 97.41 % to 80.32 %. These findings underscore the potential of this photocatalyst for effectively treating dye-contaminated wastewater.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"27 ","pages":"Article 101015"},"PeriodicalIF":5.3,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Circularity potentials, influential factors, modeling approach and policy interventions of circular supply chain for electric vehicles","authors":"Karsi Widiawati ,&nbsp;Bertha Maya Sopha ,&nbsp;Benny Tjahjono ,&nbsp;Naly Rakoto","doi":"10.1016/j.clet.2025.101013","DOIUrl":"10.1016/j.clet.2025.101013","url":null,"abstract":"<div><div>Electric vehicles (EVs) provide a primary alternative for mitigating greenhouse gas emissions in the transportation sector. Nonetheless, their extensive use poses concerns, including a rise in throwaway batteries, which, if inadequately managed, may result in heightened human toxicity. Therefore, the establishment of a circular supply chain (CSC) for EVs is crucial for ensuring long-term sustainability. This study seeks to investigate circularity potentials of end of life (EoL) EVs, influential factors, modeling approaches, and policy interventions that promote the implementation of a CSC for EVs based on a systematic review of empirical-based literature following the PRISMA framework. The findings highlight that, under an optimized waste hierarchy, approximately 55.1–59.5 % of EV components can be reused, 24.4−31.8 % repurposed, 55.1−59.5 % remanufactured, and 95.6−96.0 % recycled, leaving about 23.5–24.7 % of components destined for landfills. Five factors pertaining to regulations, economics, environment, technology and infrastructure, ecosystem were identified to be influential for the CSC implementation for EVs. These factors are modeled using either optimization, simulation, or hybrid approach, depending on the modeling objective and settings, in order to comprehend the CSC system, support decision-making and enhance resource recovery strategies. Policy interventions primarily focused on collection and transportation, technology and infrastructure, and economic aspects, have recently been expanded to encompass social interventions, design standardization, and stakeholder collaboration. Given the potential circularity of EV components, the multifaceted factors involving various stakeholders should be addressed in designing and implementing CSC system for a more resource-efficient future of EVs.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"27 ","pages":"Article 101013"},"PeriodicalIF":5.3,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144296840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}