Journal of Cleaner Production最新文献

{"title":"Research on investment decision-making of renewable power producers under the new Renewable Portfolio Standards","authors":"Xiaohua Song, Lu Zhang, Jingjing Han, Qiaochu Li, Siyi Li, Jiajing Li, Shangze Xu","doi":"10.1016/j.jclepro.2025.145867","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145867","url":null,"abstract":"Under the new Renewable Portfolio Standards (RPS), China's advancement in renewable energy encounters various difficulties. These influence the investment decisions of renewable power producers. This paper proposes a model to address the uncertainty problem in the renewable power investment decision-making process under the new RPS. The real options (RO) method is adopted, considering multiple influencing factors, including market electricity prices, price policies, Tradable Green Certificate (TGC) prices, tax incentives, and changes in investment costs. The investment value and optimal investment timing of renewable power producers are analyzed in detail. Furthermore, the sensitivity analysis of uncertain factors reveals the impact of the new RPS on the investment decision. The conclusion provides clear recommendations for investors and inspires the government to promote China's energy-low-carbon transformation and development.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"33 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multilayer Material System Analysis of Wind Turbines: correlation of stocks and flows in the EU of six metals and two drivetrain technologies","authors":"María Fernanda Godoy León, Cristina Balsells Llort, Célestin Demuytere, Silvia Bobba, Nacef Tazi, Jo Dewulf","doi":"10.1016/j.jclepro.2025.145794","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145794","url":null,"abstract":"Projections anticipate wind energy as the EU's primary electricity source by 2050. Despite EU leadership in wind power component manufacturing, heavy reliance on imported raw materials, many critical, poses challenges. Understanding wind turbine material cycles' connection to raw materials supply chains is limited, hindering efforts to establish a domestic supply chain. To address this gap, a Multilayer Material System Analysis (MMSA) is employed at the EU level, estimating flows and stocks of six metals (aluminium, copper, iron, manganese, neodymium, and nickel) in wind turbines, differentiated by drivetrain technologies. Five indicators, including self-sufficiency potential (SSP), were calculated for each metal and for wind turbines overall. In 2021, around 4100 kt of material entered the use phase, with 1130 kt leaving at end-of-life; 88% due to component failures, and 12% from decommissioning. Recycling processes recovered around 990 kt. Nickel, manganese, aluminium, and neodymium exhibit SSP values below 50%, with Nd being particularly critical, resulting in a zero SSP and 100% End-of-Life Downcycling Rate (EoL-DR). A comprehensive understanding of wind turbine value chains enables tailored policy measures to maximize product and component circularity, thereby prolonging material lifecycles. This study serves as a foundation for further analysis exploring the impacts of various circular strategies.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"58 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Method for Optimizing Key Evaluation Parameters of Recycled Asphalt: Based on Rheology and Chemistry","authors":"Yanlin Chen, Zichao Wu, Junqi Liang, Wentao He, Feipeng Xiao","doi":"10.1016/j.jclepro.2025.145844","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145844","url":null,"abstract":"This study proposes and validates a method to identify key parameters for evaluating recycled asphalt rejuvenation, aiming to simplify complex, multi-parameter testing into a practical and efficient assessment framework. Its core lies in using mathematical approaches to determine the relationships between rheological parameters and chemical composition parameters. While reducing the total number of parameters, this method selects key parameters with greater differences and independence, thereby enabling a comprehensive and accurate evaluation of the recycled asphalt condition. Based on correlation analysis, clustering analysis, regression analysis, and dimensionality reduction of both rheological and chemical composition parameters, this study ultimately selects G*/sinδ (a rheological parameter) and Saturates (a chemical parameter) as key evaluation parameters. This parameter combination not only simplifies the parameter system but also provides a relatively accurate prediction of the optimal regeneration agent content for recycled asphalt and its mixtures. Meanwhile, variations in these two asphalt parameters can, to some extent, reflect changes in mixture performance. The study provides preliminary evidence for the feasibility of this parameter-selection method for recycled asphalt and supports the validity of the selected key parameters. This method will promote high-quality and efficient recycling of aged asphalt, enhance the sustainability of recycled asphalt.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"2 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A New Framework for Energy-optimized Biological Treatment in Wastewater Treatment Plants using Machine Learning Techniques","authors":"Randa Achraf, Mahmoud Mounir, Sherin M. Moussa","doi":"10.1016/j.jclepro.2025.145854","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145854","url":null,"abstract":"Wastewater treatment plants (WWTPs) are critical infrastructures that play a vital role in protecting the public health and environment. However, they consume significant amounts of energy whose reduction becomes a decisive challenge. Efficient operation and management of WWTPs require accurate prediction and real-time monitoring of the plant's performance. Previous research tackled specific challenges, such as influent load prediction, effluent quality estimation, and modelling relationships between process parameters, without addressing strategies for energy consumption optimization or reduction. Additionally, reliance on single-plant studies limits the generalizability of their findings. Besides, their models were more complex to implement on wider scales. In this paper, the Stacking Wastewater Optimizer (SWO) is proposed as a novel framework that integrates Ensemble Stacking Learning with different optimization strategies specifically tailored for energy consumption to improve WWTP performance. Unlike previous approaches, SWO not only provides accurate prediction but also deduces actionable insights and optimization recommendations to achieve substantial energy savings. A real dataset generated from the largest WWTP in Africa and Middle East was conducted as a case study. The experimental results show that SWO significantly outperforms existing models, achieving predictive accuracy of influent organic loads with an average improvement of 56.8% and 28% compared to baseline models while removing and transforming outliers respectively. The assessment demonstrates adaptability across various WWTPs operational conditions, with a maximum optimization rate of 10.66%. Additionally, integrated energy optimization techniques, particularly Gradient Descent, achieved substantial reductions in energy consumption ranging from 29.52% to 55.84%, highlighting SWO's potential for enhancing WWTP efficiency on scale.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"1 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification and simulation of ecological zoning in the Yangtze River Delta (YRD) Urban Agglomeration based on Ecological Service Value (ESV)–Landscape Ecological Risk (LER)","authors":"Xi Zhou, Guohua Ji, Feng Wang, Xiang Ji","doi":"10.1016/j.jclepro.2025.145778","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145778","url":null,"abstract":"Ecological zoning, by accurately identifying regional ecological issues, aids in addressing the ecological and environmental challenges posed by rapid urbanization and plays a pivotal role in ecological conservation and sustainable development. This study investigates the spatio-temporal dynamics of ecosystem service value (ESV) and landscape ecological risk (LER) in the Yangtze River Delta (YRD) urban agglomeration from 1990 to 2020. Using spatial correlation analysis between ESV and LER, ecological zones were identified, and the potential distribution of ecological zoning under different 2030 scenarios was modeled. The results showed that: From 1990 to 2020, ESV initially increased and then decreased, with a cumulative rise of 3.60 billion yuan. Spatially, low and medium-low value zones dominated, while high value zones were primarily concentrated in water bodies. LER displayed a distinct north-south gradient, with high and medium-high risk zones together exceeding 50%. However, the overall risk level declined over time due to the transformation into neighboring low risk zones. The ecological conservation zone remained predominant in the zoning but decreased by 1.11%, whereas the ecological improvement zone, though the smallest in area, increased by 3.1%. The distribution of ecological zones in 2030 is expected to resemble that in 2020; under the ecological protection scenario, a 0.68% reduction in the ecological control zone could help counteract ecosystem service degradation risks. This study proposes effective ecological zoning management strategies for urban agglomerations to support coordinated regional and sustainable development.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"36 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"System dynamics modeling of food loss and waste in the Norwegian seafood sector: Toward a circular economy","authors":"Ali Ghavamifar, Allan Larsen","doi":"10.1016/j.jclepro.2025.145705","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145705","url":null,"abstract":"As global attention shifts towards sustainable practices, the seafood sector faces significant sustainability challenges, driven by the rising demand for seafood due to population growth and increasing awareness of its health benefits. However, limited resources and lack of consideration for loss and waste in the fish value chain threaten the productivity of natural fish stocks, underscoring the urgent need for strategies that promote sustainability and circularity. The seafood value chain is highly complex, involving interconnected environmental, economic, and social factors that demand integrated and adaptive approaches to ensure its sustainability. Focusing on where loss and waste occur within the wild-capture seafood value chains, this paper presents a system dynamics model designed to assess and enhance sustainability and circularity. The model identifies key points of loss and waste and, by capturing the intricate interactions among various factors across the value chain, utilizes data from Norway’s whitefish industry to simulate scenarios such as advancements in fishing technology, changes in consumer behavior, and potential regulatory interventions. By incorporating the insights derived from our analyses, stakeholders and policymakers can develop targeted interventions to reduce seafood loss and waste, enhancing the economic efficiency and environmental sustainability of the seafood value chain. These insights focus on critical stages of the value chain, from harvest and processing to distribution and retail, enabling strategies that address specific inefficiencies and promote circular practices across the entire system.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"176 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Higher education as a driver of green innovation and entrepreneurship: A systematic literature review and future research agenda","authors":"Phung Nguyen, Binod Timilsina, Ahm Shamsuzzoha","doi":"10.1016/j.jclepro.2025.145820","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145820","url":null,"abstract":"This study provides an overview of higher education’s impact on promoting green innovation and entrepreneurship through a systematic literature review, adhering to the PRISMA framework. The study synthesizes findings from 47 articles up to 2024, conducting bibliometric and qualitative content analyses. Bibliometric results show that two-thirds of the studies were conducted in Asia, especially China, followed by Europe. Content analysis indicates that green innovation and entrepreneurship contribute to sustainability, with higher education institutions serving as knowledge hubs. Additionally, while green innovation is mainly affected by university-industry collaboration, green entrepreneurship is mainly affected by university support systems. To enhance the impact of higher education, most studies also suggest promoting university support systems for green entrepreneurship and fostering university-industry collaboration for green innovation. A notable research gap is the lack of studies on how higher education influences the translation from green innovation to green entrepreneurship. Based on the identified findings and gaps, the study proposes a future research agenda. Furthermore, universities and companies can benefit from the results and findings of this review in promoting green innovation and green entrepreneurship practices.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"134 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are abandoned mine tailings a valuable resource for recovering Rare Earth Elements? Life Cycle Assessment and Cost Analysis","authors":"Martín Muñoz-Morales, David Sanchez-Ramos, Hassay L. Medina-Díaz, Francisco J. López-Bellido, Jacinto Alonso-Azcárate, Francisco J. Fernández-Morales, Luis Rodríguez","doi":"10.1016/j.jclepro.2025.145828","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145828","url":null,"abstract":"Rare earth elements (REEs) are considered relevant metals in the modern technology because they are key components of electric and electronic products. Moreover, the mining of these metals is often environmentally problematic, resulting in a current global production being controlled by a small number of countries. Looking for alternative REE resources, their potential recovery from abandoned tailings by means of phytoextraction using a new native hyperaccumulator plant, <em>Spergularia rubra</em>, was analyzed from the environmental and economic points of view in a real study case carried out in an old Pb/Zn mine area in Spain. Photogrammetry combined with GIS calculations, soil and plant sampling and chemical analysis showed that the studied mining site has an approximate quantity of 1.7 million tons of mine tailings, which could represent up to 168 tons of REEs. In addition, approximate phytoextraction yields of <em>Spergularia rubra</em> of 50 g and 150 g REEs per hectare were experimentally obtained, being those values strongly influenced by the low concentration of REEs in the tailings. Life Cycle Assessment (LCA) was applied to two proposed scenarios for REEs recovery through phytoextraction and incineration processes to obtain an ash relatively concentrated in REEs oxides. The first scenario involves the cultivation, irrigation and harvesting of the biomass, and the other one only relying on the harvesting of spontaneous biomass growth in wild conditions. The environmental impacts resulting from phytoextraction were mainly associated with agricultural maintenance and biomass harvesting tasks, especially irrigation in the non-wild cultivation scenario. Lastly, the cost assessment of both scenarios to recover REEs showed that their cost did not appear to be offset by the economic value that could represent the metals recovered by this technique (except for Sc due to its high price). Nevertheless, it is necessary to emphasize that the main objective of these studies is the promotion of circular economy process restoring polluted lands, reducing environmental risks and recovering mineral ores that contain valuable metals such as REEs, as a secondary and sustainable alternative to recover them.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"25 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards Sustainable Phosphorus Use in the European Union: Evaluating Resource Cap Scenarios","authors":"Adam Kelly","doi":"10.1016/j.jclepro.2025.145849","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145849","url":null,"abstract":"Phosphorus is an essential nutrient for food production, yet the phosphorus planetary boundary has already been surpassed. Stronger policies to manage phosphorus are needed to reduce phosphorus application and associated impact. One such proposed policy is to introduce a resource cap to limit use and ensure fair and sustainable phosphorus consumption. This article is the first to investigate a phosphorus consumption cap, with a case study of the European Union outlining six different scenarios for distributing phosphorus allowances between member states. It was found that the most promising approaches would be to distribute phosphorus-use allowances based directly on the planetary boundary framework, with cap distributions based on current consumption and environmental impact levels being strong alternatives. However, there are competing plausible scenarios suggesting diametrically opposed outcomes, such as a vastly increased or reduced allocation of phosphorus to Austria, Greece and Italy based on the scenario considered. Practical implementation will require significant trade-offs between states. This article suggests novel approaches to distributing phosphorus allowances and demonstrates that resource caps can be an effective management option for phosphorus if political consensus on equity and a fair distribution can be reached.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"36 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High Spatio-temporal Resolution CO2 Emission Estimation Model for Chinese Crude Oil Maritime Transportation","authors":"Zhaojin Yan, Guanghao Yang, Rong He, Kai Shi","doi":"10.1016/j.jclepro.2025.145814","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145814","url":null,"abstract":"With the accelerating pace of the construction of the 21st Century Maritime Silk Road, China's maritime trade volume has been increasing, leading to the rapid growth of CO₂ emissions from ships. To achieve the \"dual-carbon\" goal and develop green shipping, it is necessary to understand the current situation of CO₂ emission from ships and provide data support for emission reduction efforts. This study focuses on the trajectory of oil tankers, employing a high-resolution ship CO₂ emission estimation method to reveal the spatial and temporal characteristics of China's crude oil maritime CO₂ emissions and the influencing factors of these emissions. This research constructs a high-resolution ship CO₂ emission estimation framework consisting of the three parts of “ship behavior semantic mining - CO₂ emission model construction - multi-level spatial and temporal analysis”. The study discards the rough classification method based solely on ship speed and achieves a fine classification of ship working conditions through multi-source data fusion and semantic reasoning based on Bayesian networks. The ship CO₂ emission estimation model considers multiple factors, including geographic scenario, ship type, fuel type, engine type, activity port, and activity time. By estimating the CO₂ emissions of Chinese oil tankers from 2014 to 2017, this study analyzes the temporal and spatial characteristics. These characteristics are analyzed across different spatial scales, such as global and port levels, and temporal scales, such as yearly, quarterly, monthly, and daily. The results show that China's crude oil maritime CO₂ emissions face significant pressure for reduction. Emissions can be mitigated through ship equipment modification, ship production planning, and port power supply improvements. This study contributes to a more comprehensive understanding of China's crude oil maritime CO₂ emissions and provides a decision-making reference for targeted emission reduction initiatives. Additionally, the methodology of this study is generalizable and can be applied to study CO₂ emissions from different types of ships in other countries or regions.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"3 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144153952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}