Journal of Cleaner Production最新文献

{"title":"A fully decentralized home energy management system for efficient energy management and photovoltaic with battery energy storage system sizing for grid connected home microgrid","authors":"Jawad Hussain ,&nbsp;Yang Han ,&nbsp;Amr S. Zalhaf ,&nbsp;Qi Huang ,&nbsp;Congling Wang","doi":"10.1016/j.jclepro.2025.145768","DOIUrl":"10.1016/j.jclepro.2025.145768","url":null,"abstract":"<div><div>In recent times, the reduction in feed-in tariff (FiT) rates and the increase in time-of-use (TOU) rates have made it essential for producers to enhance self-consumption (SC) and self-sufficiency (SS) while appropriately sizing the photovoltaic (PV) and battery energy storage system (BESS) to minimize energy costs and maximize the net present value (NPV) of the home microgrid (H-MG). The main objective of this study is to optimize the sizing of distributed energy resource (DER) agents according to the time-of-use (TOU) tariff rates to maximize the NPV. A novel residential demand response approach is proposed within a home energy management system (HEMS) that incorporates the scheduling of appliance agents, as well as the scheduling of an Electric Vehicle (EV) and BESS operations in the sizing procedure. It also determines the optimized tilt angle for the PV system. A rule-based operational approach is proposed to schedule agents independently within a multi-agent system (MAS) based H-MG according to their operational constraints, while the coalition game approach schedules the agents according to TOU tariffs. A case study is performed to find the sizes of the PV and BESS systems, considering the increase in TOU tariffs and reduction in battery prices, in order to analyze the NPV and payback period. The numerical and simulation results validate the effectiveness of the proposed MAS-based HEMS in substantially increasing the NPV and shortening the payback period. Additionally, it is demonstrated that the proposed strategy is fully decentralized and offers greater privacy preservation compared to other state-of-the-art strategies.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"514 ","pages":"Article 145768"},"PeriodicalIF":9.7,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144113364","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":"Supply chain design of biocarbon production from Miscanthus through hydrothermal carbonization in southern Ontario: A life cycle assessment perspective","authors":"Sajad Mohammad Zamani ,&nbsp;Ranjan Pradhan ,&nbsp;Mahendra Thimmanagari ,&nbsp;Animesh Dutta","doi":"10.1016/j.jclepro.2025.145758","DOIUrl":"10.1016/j.jclepro.2025.145758","url":null,"abstract":"<div><div>Miscanthus has emerged as a promising energy crop, with the feasibility of successful plantations demonstrated in southern Ontario. Converting this low-value biomass into valuable biocarbon through hydrothermal carbonization (HTC) presents new opportunities and markets for this feedstock. In this study, various supply chain scenarios were established within the region using Geographic Information Systems (GIS). Then, an environmentally focused approach was adopted to evaluate the environmental impacts of each scenario and promote the scale-up of HTC for biocarbon production from Miscanthus in southern Ontario. This study also assesses the environmental impacts of two different conversion methods: HTC and HTC combined with Anaerobic Digestion (AD). Moreover, it examines the effects of biomass aggregation and densification within the supply chains. Through life cycle assessment (LCA), the research found that integrating AD with HTC yielded significantly greater environmental benefits compared to using HTC alone. Additionally, biomass densification on farms did not provide substantial environmental advantages in the defined scenarios. Based on the study's findings, the east side of southern Ontario, specifically Zone 6, emerged as the most suitable location for establishing a supply chain dedicated to biocarbon production from Miscanthus. It showed global warming effects of −5.80414E+02 and −5.75571E+02 kg CO₂ eq for scenarios Z6-ND-C and Z6-ND-B, respectively. The LCA results indicated that the conversion method has the most significant environmental impact among the supply chain elements.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"513 ","pages":"Article 145758"},"PeriodicalIF":9.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144097138","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 bidirectional feedback model for enhancing heavy metal pollution sensitivity Assessment: Case study of Queshan Longhu Wetland","authors":"Zeyu Li,&nbsp;Chao Jia,&nbsp;Jiayi Du,&nbsp;Lin Ye,&nbsp;Xingwang Yang,&nbsp;Xiao Yang","doi":"10.1016/j.jclepro.2025.145764","DOIUrl":"10.1016/j.jclepro.2025.145764","url":null,"abstract":"<div><div>Soil heavy metal pollution poses serious threats to ecological security and public health. Traditional sensitivity assessments often rely on static weighting methods, which overlook dynamic interactions between pollutants and environmental factors. This study proposes a Bidirectional Feedback Model (BFM) that integrates Random Forest and SHAP to dynamically quantify these interactions. Taking the Queshan Longhu Wetland as a case study, we applied an AHP-based BFM and validated its stability through Monte Carlo simulations. The findings revealed that: (1) The Environmental Sensitivity Index (ESI) exhibited high values in the southwest and eastern regions, closely aligning with the spatial distribution of the Natural Sensitivity Index (NSI) and underscoring the dominant role of natural factors in environment sensitivity assessments. (2) The Human Sensitivity Index (HSI) Level V areas accounted for 11.83 %, concentrated in urban centers and transportation hubs. (3) Monte Carlo simulations confirmed that the BFM model was highly robust, with minimal deviations in the Soil Pollution Index (SPI) and ESI under weight perturbations. Remote sensing image interpretation and field sampling verification corroborate the reliability of the findings. Cross-regional validation using the Huangshui River Basin in Qinghai Province demonstrated the model's strong transferability and applicability in diverse geographical settings. This study provides a novel, interpretable framework for precision soil pollution assessment and offers practical insights for environmental management in ecologically sensitive areas.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"513 ","pages":"Article 145764"},"PeriodicalIF":9.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144097187","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":"Recyclable Polyester Textile Waste-Based Composites for Building Applications in a Circular Economy Framework","authors":"José Carlos Ferreira Junior, Ennouri Triki, Olivier Doutres, Nicole R. Demarquette, Lucas A. Hof","doi":"10.1016/j.jclepro.2025.145759","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145759","url":null,"abstract":"There is a growing need for sustainable solutions to address the increasing levels of textile waste at both post-industrial and post-consumer stages. Easily implementable solutions could accelerate adoption in circular economy applications. In this context, post-industrial polyester and a water-soluble adhesive were combined to fabricate recyclable textile-based composite panels using a room-temperature processing method, reinforcing sustainable practices by lowering energy demands and material use. The resulting composites exhibited tunable acoustic performance: increased textile content enhanced sound absorption but introduced higher porosity during fabrication, which effects the material's overall performance. Additionally, the composites displayed a low thermal conductivity of 0.05 W/m·K, making them suitable for energy-efficient insulation applications, and enhanced toughness, with optimal flexural toughness at 37 wt.% and impact toughness at 52 wt.% textile content. The ability to recover the materials at room temperature using water demonstrates a simple and effective recycling process, further extends their lifespan, highlighting their potential for resource-efficient reuse within a circular economy framework. These recyclable composites can be directly applied in building construction, offering a sustainable alternative for applications such as insulation panels, acoustic treatments, and non-structural building components. This research advances efforts toward resource-conscious and sustainable production by reducing textile waste and promoting the circular reuse of materials in the construction industry.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"97 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144104282","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":"Environmental impact of three different engineering thermoplastics: How much does it change when using recycled polyamide?","authors":"Alberto Pietro Damiano Baltrocchi ,&nbsp;Davide Lotti ,&nbsp;Marco Carnevale Miino ,&nbsp;Lucrezia Maggi ,&nbsp;Elena Cristina Rada ,&nbsp;Vincenzo Torretta","doi":"10.1016/j.jclepro.2025.145769","DOIUrl":"10.1016/j.jclepro.2025.145769","url":null,"abstract":"<div><div>Thermoplastic compounds are used in several industrial, domestic and consumer applications. Thanks to their strength, lightness, flexibility and processing properties, they are also widely used for engineering purposes (EngTh). However, thermoplastics are often derived from polymers formed from non-renewable sources, such as oil. In addition, the production processes have a high consumption of energy. This research aims to evaluate the environmental impacts with the Life Cycle Assessment methodology of three polymers based on polyamide 6.6 modified with flame retardants (brominated polystyrene and antimony trioxide, aluminium diethylphosphinate and melamine polyphosphate, red phosphorus) and the influence of the replacement of the oil-based polyamide 6.6 with mechanical recycled polyamide on the sustainability of the production. The analysis was conducted using SimaPro v9.5 software, Ecoinvent 3.9.1 database and ReCiPe 2016 v1.07 impact assessment method. The primary data was collected in 2023 in a facility located in Italy. The results show that the impact of raw materials accounts for more than 95 % of the environmental profile in all three products considered, while the processes for the production and the subsequent transports are no more than 5 %. The analysis highlighted that up to 6–9 % of environmental benefits can be achieved by replacing only 10 % of oil-based PA 6.6 with mechanical recycled PA (MRPA), with the best results for RPm given the highest percentage of PA 6.6 in the initial mixture. The results of this assessment will be useful to promote the production of EngTh more sustainably.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"514 ","pages":"Article 145769"},"PeriodicalIF":9.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144104284","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":"Hospital plastic waste valorization through microwave-assisted Pyrolysis: Experimental and modeling studies via machine learning","authors":"Ramesh Potnuri ,&nbsp;Chinta Sankar Rao ,&nbsp;Dadi Venkata Surya ,&nbsp;Abhishankar Kumar","doi":"10.1016/j.jclepro.2025.145772","DOIUrl":"10.1016/j.jclepro.2025.145772","url":null,"abstract":"<div><div>The COVID-19 pandemic generated a global upsurge in hospital plastic waste (HPW) as a consequence of the widespread utilization of personal protective equipment (PPE) composed of diverse polymer materials. The constant demand for PPE worldwide led to the accumulation of substantial volumes of high-polymer-based plastic waste. To tackle this challenge, researchers delved into the conversion of HPW into valuable chemicals through a process known as microwave-assisted pyrolysis (MAP). This method entails the transformation of HPW into high-quality char and liquid oil, which can serve as a source of fuel. In this study, our primary focus was to understand how the ratio of HPW (hospital plastic waste) to susceptor weight influenced the yields and characteristics of the resulting products in the context of the MAP process. To facilitate the experimental setup, a Central Composite Design (CCD) was employed. The impact of varying HPW weights and susceptor quantities on the production of value-added products was investigated. The analysis of condensed organic vapor decomposition revealed an increase in liquid yields (73.6 wt %, 76.6 wt %, 80.7 wt %) as the graphite content increased at a constant 30 g HPW. Conversely, gas yield decreased with higher susceptor and HPW quantity. Keeping the graphite constant at 4g, the gas yield declined (32.5 wt %, 30.7 wt %, and 24.7 wt %) as HPW increased. Additionally, gas yield exhibited a drop (32.5 wt % to 18.1 wt %) with an increase in both graphite and HPW. Furthermore, the residual yield decreased (from 1.7 wt % to 1.2 wt %) with a 30 g increase in HPW. In-depth analysis incorporated machine learning techniques to understand the behavior of response variables about susceptor and HPW quantities. The optimization of the MAP process for HPW encompassed various supplementary operational parameters, including susceptor thermal energy, average heating rate, microwave energy, specific microwave power, and product yields. Moreover, the residue generated from the MAP of HPW underwent characterization through X-ray diffraction (XRD), FTIR, and BET analysis.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"514 ","pages":"Article 145772"},"PeriodicalIF":9.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144104372","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":"Optimization of unmanned aerial vehicle operational parameters to maximize fertilizer application efficiency in rice cultivation","authors":"Xue Xia ,&nbsp;Ruirui Zhang ,&nbsp;Li Ma ,&nbsp;Jiaying Su ,&nbsp;Tongchuan Yi ,&nbsp;Linhuan Zhang ,&nbsp;Xiaoyu Chen","doi":"10.1016/j.jclepro.2025.145762","DOIUrl":"10.1016/j.jclepro.2025.145762","url":null,"abstract":"<div><div>Unmanned Aerial Vehicles (UAVs) have experienced rapid development in rice topdressing applications in recent years, owing to their advantages of broad terrain adaptability, high operational efficiency, and minimal crop disturbance. However, current operational parameter configurations are lacking in systematic optimization, leading to suboptimal fertilization quality and compromised application efficiency. To address these challenges, this study investigated UAV-compatible fertilizer selection and operational parameter optimization. Fertilizer physical parameters were screened based on their compatibility with UAV spreading mechanisms, and an operational parameter optimization framework was developed using distribution uniformity as the key performance indicator, through which optimal operational parameters were determined. Furthermore, comparative field experiments were conducted to validate the enhancement of fertilizer application efficiency through UAV operational parameter optimization. Experimental results revealed that granular fertilizer parameters exert significant impacts on application quality. Critical thresholds were identified as moisture content below 0.5 %, sphericity exceeding 95 %, and density ranging from 1.2 to 1.4 g/cm³, which provide criteria for selecting and developing UAV-compatible fertilizers, addressing a key knowledge gap in precision UAV fertilization. The calibrated configuration of urea-ammonium nitrogen fertilizer application was determined, comprising a flight height of 3 m, a flight speed of 2 m/s, and a spreader disc rotation rate of 900 r/min, which established benchmark values for UAV fertilization. Field experiment demonstrated that UAV fertilization with optimization operational parameters achieved a 15.6 % increase in rice yield. This study establishes a systematic framework for UAV-based rice topdressing optimization, and an innovative solution to enhance fertilizer application efficiency is proposed.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"514 ","pages":"Article 145762"},"PeriodicalIF":9.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144097139","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":"Mapping the landscape: a survey on the evolution and similarities among alternative well-being indicators","authors":"Damiano Meloni,&nbsp;Maria Giovanna Bosco,&nbsp;Mauro Gallegati","doi":"10.1016/j.jclepro.2025.145718","DOIUrl":"10.1016/j.jclepro.2025.145718","url":null,"abstract":"<div><div>The limitations of GDP as a measure of societal well-being have led to a proliferation of “Beyond GDP” indicators, yet systematic comparisons remain scarce. This paper addresses this gap by combining text-mining techniques with empirical analysis to examine similarities and differences among major international well-being indices. Particular attention is given to the treatment of inequality, highlighting its marginal integration and the shortcomings of relying solely on the Gini index. Using Cosine and Jaccard similarity measures, we identify conceptual overlaps, redundancies, and the distinctiveness of environmental indicators such as the Ecological Footprint and the Environmental Performance Index. Empirical validation shows moderate alignment between textual similarity and statistical co-movement, supported by a novel application of spatially stratified heterogeneity analysis, which reveals strong regional structuring of socio-economic, but not environmental, indicators. These findings offer a comprehensive mapping of the well-being indicator landscape and practical guidance for selecting complementary, inequality-sensitive and regionally appropriate metrics for policy and research.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"513 ","pages":"Article 145718"},"PeriodicalIF":9.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144104285","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":"Research on the impact of digital economy on industrial carbon emission efficiency – An analysis based on spatial threshold model","authors":"Wenwen Li ,&nbsp;Shuo Fang ,&nbsp;Chenran Yan ,&nbsp;Weifeng Gong ,&nbsp;Chuanhui Wang","doi":"10.1016/j.jclepro.2025.145755","DOIUrl":"10.1016/j.jclepro.2025.145755","url":null,"abstract":"<div><div>Considering digital economy (DE) as a driving force for high-quality development, it is important to clarify its impact on industrial carbon emission efficiency (ICEE). The study investigates the impact mechanism, nonlinear effect, spatial spillover effect and spatial threshold effect of the DE on ICEE by using panel data of 284 cities in China from 2011 to 2021. The results show that: (1) DE exhibits a nonlinear impact on ICEE. When DE exceeds 0.3414, the impact turns from negative to positive. (2) There exists a significant spatial threshold effect of DE on ICEE. (3) DE affects ICEE through scale effect, technological effect and structural effect. There are also threshold effects on the mechanisms by which DE affects ICEE. Additionally, under different development levels of the three mechanisms, the impact of DE on ICEE also exhibits variations. This study provides inspiration for fully unleashing the carbon reduction dividend of DE and forming a joint force of urban industrial emission reduction.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"515 ","pages":"Article 145755"},"PeriodicalIF":9.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144097191","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":"An optimization framework for energy-driven food cold chain network design","authors":"Riccardo Accorsi,&nbsp;Emilio Ferrari,&nbsp;Beatrice Guidani,&nbsp;Riccardo Manzini,&nbsp;Michele Ronzoni","doi":"10.1016/j.jclepro.2025.145767","DOIUrl":"10.1016/j.jclepro.2025.145767","url":null,"abstract":"<div><div>Cold Food Supply Chains (CFSCs) are crucial for sourcing, consolidating, and delivering fresh food from suppliers to consumers. However, they also account for up to 35 % of the food industry's energy consumption. This study introduces an optimization framework aimed at strategically designing more energy-efficient cold chain networks. It takes into consideration the impact of site-specific climate and irradiance conditions on refrigeration energy consumption in warehouse facilities, along with logistical considerations. The framework incorporates a Mixed-Integer Linear Programming (MILP) model for energy-focused cold chain facility network design. A case study, applied to a nationwide fresh fruit retailer supply chain in Italy, highlights the practical benefits of this approach. Results demonstrate that by strategically locating refrigerated warehouses in areas naturally shielded by mountain reliefs, the model achieves a 23 % reduction in energy consumption and a 5 % total cost saving compared to a business-as-usual scenario. These findings underline the importance of integrating environmental parameters, such as climatic and irradiance conditions, into cold chain network design to enhance energy efficiency and sustainability while maintaining logistical feasibility.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"514 ","pages":"Article 145767"},"PeriodicalIF":9.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144104383","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}