Journal of Cleaner Production最新文献

{"title":"Adsorption model for biogas purification: A design tool for solid oxide fuel cells applications","authors":"Elena Rozzi ,&nbsp;Marta Gandiglio ,&nbsp;Andrea Lanzini ,&nbsp;Massimo Santarelli","doi":"10.1016/j.jclepro.2025.145382","DOIUrl":"10.1016/j.jclepro.2025.145382","url":null,"abstract":"<div><div>With biogas production projected to exceed 35–45 billion cubic meters by 2030, addressing the critical challenge of biogas purification to allow its exploitation through the best-in-class technology available, the solid oxide fuel cell (SOFC), while preserving their durability, is essential. This study investigates the decontamination aspects related to the energy option of SOFCs fueled by biogas, a highly efficient and sustainable solution for renewable energy generation. We have developed a flexible and cost-effective biogas cleaning unit capable of removing harmful sulfur-based impurities. A novel adsorption model was created to predict contaminant concentration profiles, supporting the design of scalable cleaning units. Our comprehensive techno-economic analysis reveals that in 3-kW systems, capital and operational expenditures for SOFCs account for 56–70 % of the levelized cost of electricity (LCOE), with biogas cleaning systems constituting 30–37 % in single-vessel configurations and 35–44 % in lead-and-lag setups. In 100-kW systems, economies of scale reduce SOFC investment costs, while the impact of the biogas cleaning system becomes more pronounced. Sensitivity analysis indicates that variations in sorbent costs significantly affect LCOE, with lead-and-lag configurations offering advantages in sorbent utilization and operational efficiency. Overall, our findings indicate that biogas-SOFC systems obtain a competitive LCOE, below 0.32 €/kWh for 3-kW systems and below 0.12 €/kWh for 100-kW systems. This highlights their viability as a cleaner, high-efficiency alternative to conventional combustion technologies for decentralized energy production.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"503 ","pages":"Article 145382"},"PeriodicalIF":9.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143695681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geo-environmental analysis and mechanical properties of geosynthetics in railway components industry (Sub and Superstructures)","authors":"Manouchehr Shokri,&nbsp;Rose Nangah Mankaa,&nbsp;Marzia Traverso","doi":"10.1016/j.jclepro.2025.145366","DOIUrl":"10.1016/j.jclepro.2025.145366","url":null,"abstract":"<div><div>The sustainability Development Goals (SDGs), particularly SDG 13, emphasize the objective of the 2015 Paris Agreement to limit global warming to a maximum of 1.5 °C. Additionally, SDG 12 promotes sustainable production and construction practices. The primary goal of improving railway transportation for both freight and passenger services is to increase the speed and capacity of trains. While ballasted tracks have been commonly used, recent developments involve the use of geosynthetic materials within the track substructures. These geosynthetics, particularly those made from recycled materials, enhance the reinforcement and stability of substructures. This improvement in performance is expected to lead to a reduction in environmental impacts, such as CO2Eq emissions, due to longer lifespans, fewer repairs, and a decrease in the need for raw material extraction. This study presents a new substructure design that incorporates a geosynthetic layer made of recycled polypropylene (PP) and compares it with alternative scenarios using virgin PP and conventional ballast. Initially, Finite Element (FE) simulation is used to assess the mechanical performance of the PP as a reinforced layer in the substructure components. Subsequently, the Life Cycle Assessment (LCA) methodology is applied to evaluate the environmental impacts of the design. The FE simulation results show that incorporating a geogrid layer in the substructure reduces stress and deformation, contributing to an extended rail lifespan and a reduced environmental burden. Moreover, according to the LCA, the recycled geogrid scenario has the least environmental impact over a service life. However, the valuable environmental Impacts achieved in this study can be quite useful for decision-makers and engineers to choose the most suitable railway track substructure for decoupling the increase of technical properties from environmental impacts.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145366"},"PeriodicalIF":9.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143678030","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":"Fulfilling the negative emission effect of hydrothermal CO2 utilization through process optimization and supply chain decarbonization","authors":"Jingwen Wang ,&nbsp;Shuying Huang ,&nbsp;Mei Li ,&nbsp;Jing Xu ,&nbsp;Fangming Jin ,&nbsp;Yang Yang ,&nbsp;Heng Zhong ,&nbsp;Chunling Wang ,&nbsp;Guanghui Li ,&nbsp;Jiaqi Lu","doi":"10.1016/j.jclepro.2025.145377","DOIUrl":"10.1016/j.jclepro.2025.145377","url":null,"abstract":"<div><div>Hydrothermal CO₂ utilization for producing chemical feedstocks offers a promising route toward sustainable development and carbon neutrality. However, the significant energy consumption along with reductant consumption, introduces potential uncertainties in its environmental benefits. An ex-ante life cycle assessment of 12 hydrothermal CO₂ utilization pathways revealed that the carbon footprint of benchmark cases cannot realize carbon reduction effect even when considering captured CO₂ and offsets from converted products. By integrating chemical process simulation and scenario analysis of decarbonized background datasets, the influence of internal process variables and potential supply chain change were comprehensively analyzed. Under the optimal production system design and low-carbon scenario for energy supply, the carbon footprint can reach −0.4129 kg CO₂-eq/kg absorbed CO₂. This research elucidates how internal and external factors influence the environmental outcomes of hydrothermal CO₂ conversion, providing a comprehensive framework for assessing the sustainability of emerging technologies and guiding their development towards minimizing environmental impacts.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"502 ","pages":"Article 145377"},"PeriodicalIF":9.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143695640","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":"Synergy between a methanol reforming process, fuel cell, and organic Rankine cycle: Multi-objective optimization of a next-generation energy system","authors":"Thanaphorn Detchusananard, Supawat Taweekayujan, Phuet Prasertcharoensuk, Yong-Song Chen, Amornchai Arpornwichanop","doi":"10.1016/j.jclepro.2025.145365","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145365","url":null,"abstract":"Optimizing multiple advanced energy technologies within an integrated system to enhance performance and sustainability is a significant challenge. This study presents a novel hybrid energy system integrating sorption-enhanced chemical looping reforming of methanol (SECL-OSRM), a high-temperature proton-exchange membrane fuel cell (HT-PEMFC), and a recuperative–regenerative organic Rankine cycle (RR-ORC). A comprehensive process model was developed, and a multi-objective optimization (MOO) was performed by coupling Non-dominated Sorting Genetic Algorithm II (NSGA-II) with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to maximize system efficiency while minimizing exergy destruction and total system cost rate. The best compromise solution, achieving a system efficiency of 42.04%, exergy destruction of 148.1 kW, and a total system cost rate of 11.67 USD/h, was obtained with CuO/CH₃OH and MgO/CH₃OH molar flowrate ratio of 0.5, a current density of 0.806 A/cm², an oxygen flowrate ratio of 4, a fuel cell temperature of 200°C, and an intermediate pressure of 9 bar. This study highlights an ideal framework for efficiently optimizing a hybrid energy system. It offers comprehensive information about the interactions between system components and parameters to help establish a new understanding for developing the next generation of advanced energy systems.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"33 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143695641","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":"Metastable phase reconstruction for enhanced vanadium extraction via cerium oxide-catalyzed low-sodium roasting","authors":"Jingrui Li ,&nbsp;Kang Tang ,&nbsp;Yan Chen ,&nbsp;Youcai Ma ,&nbsp;Qian Zhang ,&nbsp;Zuohua Liu ,&nbsp;Changyuan Tao ,&nbsp;Yi Peng ,&nbsp;Jun Du ,&nbsp;Zhaoming Xie ,&nbsp;Wenyi He ,&nbsp;Biao Shen","doi":"10.1016/j.jclepro.2025.145380","DOIUrl":"10.1016/j.jclepro.2025.145380","url":null,"abstract":"<div><div>Excessive Na₂CO₃ usage in current vanadium extraction processes from vanadium slags leads to substantial CO₂ emissions and the accumulation of toxic residues and wastewater, posing serious environmental hazards. In response to the Paris Agreement and national “dual carbon” goals, this study explores a sustainable, low-carbon vanadium extraction process by introducing a novel cerium oxide (CeO₂)-catalyzed sodium roasting method. To address the challenge of limited knowledge on phase transitions in vanadium slag roasting, this study employs transmission electron microscopy (TEM), X-ray diffraction (XRD), and X-ray photoelectron spectroscopy (XPS) to confirm the presence of metastable phases in the slag and to analyze CeO₂'s catalytic effects on phase transformation. The results reveal that CeO₂ effectively promotes the transformation of metastable phases and the oxidation of low-valence vanadium, forming stable, soluble vanadates (Na₄(V₂O₇)). Data indicate that adding CeO₂ enables a 5 wt% reduction in Na₂CO₃ usage while maintaining a vanadium extraction rate of over 90 %. Mechanistic studies further demonstrate that CeO₂ produces oxygen vacancies during roasting, activating a Ce³⁺/Ce⁴⁺ redox cycle that enhances oxygen utilization and accelerates vanadium oxidation. Furthermore, the regenerated CeO₂ catalyst retains catalytic activity after multiple cycles, achieving a vanadium extraction rate of 95 % upon reuse. This CeO₂-catalyzed roasting method significantly reduces Na₂CO₃ requirements, minimizing CO₂ emissions and hazardous residue production, thereby presenting an efficient, low-impact approach to sustainable vanadium extraction and contributing valuable insights for advancing green metallurgical processes.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145380"},"PeriodicalIF":9.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143695639","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":"Optimizing green urea production: Integration of process simulation, artificial intelligence, and sustainable technologies","authors":"Carlos Antonio Padilla-Esquivel ,&nbsp;Francisco Javier Lopéz-Flores ,&nbsp;Luis Germán Hernández-Pérez ,&nbsp;Eusiel Rubio-Castro ,&nbsp;José María Ponce-Ortega","doi":"10.1016/j.jclepro.2025.145371","DOIUrl":"10.1016/j.jclepro.2025.145371","url":null,"abstract":"<div><div>The production of fertilizers, such as urea, faces significant environmental challenges due to greenhouse gas emissions associated with conventional processes. This study addresses these problems by integrating innovative technologies such as electrolysis to generate green hydrogen, carbon capture, green ammonia and the use of renewable energies. In addition, an approach combining artificial neural networks (ANN) and multi-objective optimization techniques is proposed to design efficient and sustainable green urea production processes. Using simulations in Aspen Plus and sensitivity analysis, databases were generated to train ANN models with optimized hyperparameters, achieving accurate representations of the systems. These models were used in optimized schemes using deterministic, metaheuristic and Bayesian methods. The results highlight the ability of ANN to predict with high accuracy variables such as production, costs and energy consumption, with coefficients of determination above 0.99. The optimal solutions balanced sustainability and costs, showing that deterministic methods are more robust and faster, while metaheuristic and Bayesian techniques achieved higher yields, albeit with higher costs. This approach not only demonstrates the technical and economic feasibility of green urea, but also establishes an innovative framework for sustainability in chemical processes using artificial intelligence and advanced optimization.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145371"},"PeriodicalIF":9.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143695642","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":"From waste to value: Mitigating the environmental impact of whey in Jalisco, Mexico","authors":"Tlalli Uribe-Velázquez ,&nbsp;Diego Díaz-Vázquez ,&nbsp;Paloma Barajas-Álvarez ,&nbsp;Martín Esteban González-López ,&nbsp;Misael Sebastián Gradilla-Hernández ,&nbsp;Luis Eduardo Garcia-Amezquita ,&nbsp;Danay Carrillo-Nieves ,&nbsp;Tomás García-Cayuela","doi":"10.1016/j.jclepro.2025.145334","DOIUrl":"10.1016/j.jclepro.2025.145334","url":null,"abstract":"<div><div>Whey, a liquid by-product of cheese and yogurt production, represents a substantial environmental challenge in the dairy industry. This study focuses on Jalisco, Mexico, a major dairy-producing region, to assess the environmental impact of whey disposal. Through a combination of physicochemical analysis, geographic information systems, and Life Cycle Assessment (LCA), we investigated the current whey management practices and their associated environmental burdens. Whey samples from 19 dairy processing units were analyzed, revealing high organic loads with biological oxygen demand ranging from 9.42 to 50.05 g/L, and total nitrogen and phosphorus levels of 1019.93 mg/L and 171.72 mg/L, respectively, exceeding local and international discharge limits. The region produces approximately 322,942 m³ of whey annually, with 67 % concentrated in 10 municipalities. LCA compared three whey management scenarios: direct disposal (DD), anaerobic digestion (AD), and whey powder (WP) production. DD contributed to freshwater and marine eutrophication (0.26 kg P eq and 0.23 kg N eq, respectively). AD emerged as the most sustainable option, reducing greenhouse gas emissions and generating biogas as a renewable energy source. WP production, while adding economic and nutritional value, had a global warming potential of 96.89 Kg CO₂ eq due to energy-intensive processing. Centralized treatment systems were identified as a viable solution for small producers, enabling shared infrastructure and cost reduction. These findings provide a scalable framework for sustainable whey management strategies, applicable to other dairy-producing regions.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145334"},"PeriodicalIF":9.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687322","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":"Pathways to environmental sustainability: The asymmetric effects of green technology innovation, policy stringency, and industrialization in the United States","authors":"Sajid Ali ,&nbsp;Mustafa Tevfik Kartal ,&nbsp;Sami Ullah","doi":"10.1016/j.jclepro.2025.145376","DOIUrl":"10.1016/j.jclepro.2025.145376","url":null,"abstract":"<div><div>In recent times, the significance of attaining environmental sustainability has been gaining attention on a worldwide scale. However, numerous studies have examined the variables that affect individual ecological footprints and environmental impacts, there is still a lack of asymmetric analyses addressing how these factors specifically contribute to environmental sustainability. This paper thus fills this research gap by providing a comprehensive analysis of the role of green technology innovation, environmental policy stringency, industrialization, and research and development in achieving environmental sustainability in the United States. To achieve this, innovative methodologies (namely, quantile-on-quantile regression, wavelet quantile correlation, and quantile causality) are employed, utilizing data from 1990 to 2022. The findings highlight that (i) an increase in green technology innovation primarily promotes environmental sustainability by decreasing ecological footprint at higher levels of green technology innovation, which is advantageous for the United States; (ii) an increase in environmental policy stringency typically has a beneficial impact on environmental sustainability at lower and medium levels of environmental policy stringency; (iii) The level of industrialization augments the ecological footprint in most quantiles; (iv) research and development positively influences environmental sustainability. The findings emphasize the necessity of targeted policy interventions, emphasizing green innovation, strict environmental policies, and sustainable industrial transformation to achieve long-term environmental sustainability.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"502 ","pages":"Article 145376"},"PeriodicalIF":9.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143695638","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":"Promising CdS quantum dots/FeS2 microsphere Z-scheme heterojunction for boosting C-C coupling and hydrogen production","authors":"Zuming He ,&nbsp;Yongmei Xia ,&nbsp;Fahui Wang ,&nbsp;Jiangbin Su ,&nbsp;Muhammad Saboor Siddique ,&nbsp;Xiaofei Fu ,&nbsp;Guihua Chen ,&nbsp;Hanpei Yang ,&nbsp;Wei Zhou","doi":"10.1016/j.jclepro.2025.145361","DOIUrl":"10.1016/j.jclepro.2025.145361","url":null,"abstract":"<div><div>The integration of solar-driven hydrogen production with the selective conversion of biomass-derived alcohols into the value-added chemicals have been found a promising application. Herein, we have successfully developed a series of Z-scheme CdS/FeS₂ photocatalysts via interface engineering, for efficient hydrogen evolution and dehydrogenative C-C coupling. Experimental results illustrate that the optimal CdS/FeS₂-10 composite photocatalysts exhibit a high H₂ production rate of 19.2 mmol g⁻¹h⁻¹, and C-C coupled products generation rate of 11.8 mmol g⁻¹h⁻¹ together with the selectivity of 95.0 %. Moreover, the benzyl alcohol conversion of 36 % and a coupled products yield of 34 % is observed after 2 h of reaction. Mechanistic studies reveal that the exceptional hollow core-shell structure not only enhance the visible light region absorbance, but also effectively induce the spatial charge separation within the Z-scheme heterojunction, resulting in an outstanding photocatalytic performance. Additionally, it observes that a carbon-centered radical (•CH(OH)C₆H₅) generated by the activation of C_<em>α</em>-H bond in benzyl alcohol plays significant roles during the photocatalytic process. This work provides new insights into the synergetic production of H₂ and selective conversion of biomass-derived alcohols to highly value-added chemicals through C-H bond dehydrogenation coupling.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"501 ","pages":"Article 145361"},"PeriodicalIF":9.7,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143675510","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":"Blockchain's role in low-carbon supply chain decisions with game model insights","authors":"Yimiao Gu ,&nbsp;Wenzhi Wang ,&nbsp;Hui Shan Loh","doi":"10.1016/j.jclepro.2025.145356","DOIUrl":"10.1016/j.jclepro.2025.145356","url":null,"abstract":"<div><div>As the demand for sustainable supply chain management grows, companies are increasingly adopting low-carbon transition strategies. To cater to diverse consumer needs, manufacturers offer both low-carbon and conventional products. However, consumer acceptance of low-carbon products remains limited due to a lack of trust. Many companies are now leveraging blockchain technology to bridge this trust gap, addressing information asymmetry in the supply chain and building consumer confidence in low-carbon products. This paper introduces a game model to investigate the conditions for implementing blockchain from various perspectives, considering consumer preferences for low-carbon products, product competition, and the associated costs of blockchain implementation. The findings suggest that consumer preferences for low-carbon products and the dynamics of product competition significantly influence the conditions for blockchain adoption. Additionally, as the interplay between these preferences and competition evolves, an increase in blockchain implementation costs can lead to higher prices for low-carbon products.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"502 ","pages":"Article 145356"},"PeriodicalIF":9.7,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143675502","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}