Journal of Cleaner Production最新文献

{"title":"Corrigendum to “Analyzing the phosphorus flow characteristics in China's food system over the past two decades” [J. Clean. Prod. 545, (2026), 147785]","authors":"Ya Wang,Xin Liu","doi":"10.1016/j.jclepro.2026.149656","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.149656","url":null,"abstract":"","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"83 1","pages":"149656"},"PeriodicalIF":11.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149150527","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":"Greenhouse gas and economic assessments of biochar-based composite panels from forest residues","authors":"Horacio A. Aguirre-Villegas,Richard Bergman,Qiangu Yan,Cai Zhiyong,Prakash Nepal,Troy Runge","doi":"10.1016/j.jclepro.2026.149483","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.149483","url":null,"abstract":"","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"2 1","pages":"149483"},"PeriodicalIF":11.1,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149022225","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":"Optimal sizing of hybrid renewable energy systems in rural Alaska","authors":"Jose M. Bardales, Hai Van Le, Jessica Kaminsky, Anderson R. de Queiroz","doi":"10.1016/j.jclepro.2026.149361","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.149361","url":null,"abstract":"Rural Alaskan communities face extreme energy costs and energy insecurity due to logistical isolation and dependence on imported diesel fuel. This study evaluates long term decarbonization pathways for the Shungnak microgrid using a dual planning and operational framework. Tools for Energy Model Optimization and Analysis (Temoa) optimizes capacity expansion from 2025 to 2045, while a rolling horizon Unit Commitment Model (UCM) screens portfolios for hourly dispatch feasibility, generator commitment, ramping, and battery state of charge continuity. The UCM is an operational screening model rather than a complete grid stability assessment and does not represent dynamic frequency response, voltage behavior, or inertia. The constrained Business-As-Usual Reference (BAU) pathway remains diesel dependent, producing 853.9 tons of CO<ce:inf loc=\"post\">2</ce:inf> in 2045 at a cumulative discounted system cost of 24.66 million USD. Allowing wind and hydropower shifts the least cost pathway toward a diversified renewable and storage portfolio, with all five alternative core scenarios reaching zero modeled operational emissions by 2040 under baseline resource assumptions. Sensitivity tests show that discounted cost is most responsive to wind capacity factor, ranging from 12.4% below to 17.0% above Unrestrained Reference (BAU-UR), followed by hydropower availability, ranging from 9.8% below to 10.8% above. A <mml:math altimg=\"si1.svg\" display=\"inline\"><mml:mrow><mml:mo>±</mml:mo><mml:mn>30</mml:mn><mml:mtext>%</mml:mtext></mml:mrow></mml:math> variation in battery capital cost changes system cost by 2.3% below to 2.0% above. Capital support tests locate cost parity between 6% and 7%, with an interpolated threshold of 6.34%. Findings are specific to Shungnak, while the open source framework may be adapted to other isolated systems after local calibration.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"26 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2026-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148984672","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":"The impact of international technology investment on carbon emissions: Global evidence","authors":"Xiaodong Huang, Tingzhu Li, Haitao Ma","doi":"10.1016/j.jclepro.2026.149408","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.149408","url":null,"abstract":"Despite international technology investment emerging as a key feature of the globalizing world, its impact on global carbon emissions has yet to attract attention. Using a compiled dataset of international technology investment deals, this study examines the spatiotemporal patterns of international technology investment and the corresponding carbon-emission-reduction performance from 1998 to 2023. Our findings demonstrate that an increase in international technology investment transactions contributes to reductions in carbon emissions globally, in both the home and host countries. However, in a subsample analysis, we found that the carbon-emission-reduction performance of international technology investment is closely related to the level of national development. Although transactions in advanced economies have achieved greater reductions in carbon emissions, those in non-advanced economies have not yet optimized their carbon emissions, since the emission-increasing scale effect of production expansion outweighs and dominates the energy-saving technique effect in non-advanced economies. Further research shows that technology investments from advanced economies into non-advanced economies weaken host countries’ emission-reduction performance. In contrast, transactions from non-advanced to advanced economies enhance the host countries' abatement results but weaken mitigation efforts in their home countries. This result tentatively suggests that advanced economies hold a relatively advantageous position in cross-border carbon governance associated with technology investment. Based on the analyses in this paper, we emphasize the need for advanced economies to assume greater responsibility in global environmental governance, while suggesting that non-advanced economies consider adopting environmental taxation frameworks.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"9 1","pages":"149408"},"PeriodicalIF":11.1,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148946958","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":"Spatiotemporal patterns and drivers of vegetation greenness and resilience in China's open-pit coal mines over the past four decades","authors":"Hui Wang, Chengye Zhang, Ruwen Zhang, Peng Chen, Xintong Cai, Zhilei Qin, Jun Li","doi":"10.1016/j.jclepro.2026.149429","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.149429","url":null,"abstract":"Open-pit mining and reclamation directly reshape land surfaces, making vegetation a sensitive remote sensing indicator of ecological dynamics in mining areas. However, most existing assessments focus on vegetation greenness, even though greening does not necessarily imply enhanced resilience. In mining areas, non-stationarity and signal mixing hinder large-scale, long-term assessment of vegetation resilience. Here, we combined VegDecouple with critical slowing down theory to extract vegetation disturbance signals and quantify vegetation resilience. Using Landsat-derived annual maximum NDVI data from 1987 to 2025, we extracted the steady-state NDVI component, NDVI<ce:inf loc=\"post\">ss</ce:inf>, to represent vegetation greenness and investigated the spatiotemporal patterns of vegetation greenness and resilience across 329 open-pit coal mines in China, identified their trajectory types, and evaluated the effects of climatic and anthropogenic drivers using mixed-effects models. The results showed that (1) vegetation greenness exhibited a three-stage trajectory, with slow growth during 1987–2005, degradation during 2006–2016, and recovery after 2017, and was generally higher in northeastern China and lower in central China; (2) vegetation resilience fluctuated during 1993–2007, declined during 2007–2014, and increased after 2014, without a clear macrogeographic gradient; (3) four greenness–resilience trajectory types were identified, among which greening with resilience enhancement was dominant nationally and most concentrated in the Shendong coal base; and (4) mixed-effects models revealed divergent driver responses. NDVI<ce:inf loc=\"post\">ss</ce:inf> was mainly associated with the long-term climate background, particularly mean precipitation, and with recovery age, whereas vegetation resilience was primarily associated with annual temperature anomaly, mean precipitation, and annual net solar radiation anomaly. Sensitivity analyses using alternative water indicators further suggested that NDVI<ce:inf loc=\"post\">ss</ce:inf> was more closely related to persistent water availability and soil moisture in the upper 0–7 cm layer, whereas vegetation resilience was more sensitive to water deficits captured by SPEI over 3 and 6 months than to total annual precipitation. This study advances the understanding of long-term vegetation greenness and resilience dynamics in China's open-pit coal mines and provides a remote sensing perspective for assessing ecological change in mining areas.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"13 1","pages":"149429"},"PeriodicalIF":11.1,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148946956","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 Bayesian Network-based non-deterministic optimization model for planning climate-resilient and low-carbon power systems: A case study of Nova Scotia, Canada","authors":"Lijun Lin, Guohe Huang, Jiapei Chen, Xiaoyue Zhang, Bin Luo, Xiaogui Zheng","doi":"10.1016/j.jclepro.2026.149410","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.149410","url":null,"abstract":"Extreme events such as hurricanes pose challenges to clean power system planning. Existing studies rarely jointly manage the interactive relationships among uncertain climate, socioeconomic, and environmental risks. To address this gap, this study develops a Bayesian Network-based non-deterministic optimization model that integrates multidimensional risk management with system optimization to support long-term climate-resilient and low-carbon power system planning. The model enables robust decision-making under multiple risks while balancing trade-offs among system resilience, economic costs, and emission mitigation. A case study of Nova Scotia, Canada (2026–2045) demonstrates its applicability in hurricane-prone regions. To evaluate hurricane impacts on system reliability, a system performance loss index (<ce:italic>SPL</ce:italic>) is developed. Results show that high-intensity hurricanes could increase <ce:italic>SPL</ce:italic> to 10.69–22.70%, causing 25,847.54–54,891.40 GWh of unavailable supply and C$ 208.22–776.78 million in economic losses. <ce:italic>SPL</ce:italic> may also rise five-fold to 17.81–37.81% with increased hurricane frequencies. Low-fragility natural gas generation will supply ∼30% of electricity, with its capacity losses roughly one-third of wind generation. Energy storage-based planning would strengthen system resilience and reduce additional emissions of ∼3.42 Mt but comes with high electricity costs, reaching 0.21–6.87 C$/kWh and increasing by 20–50% under high hurricane frequency. In comparison, diversified generation and grid hardening strategies would maintain stable costs within 0.064–0.081 C$/kWh. Therefore, transitioning to a diversified mix of natural gas and renewables with underground lines, supported by cost-feasible storage measures, would offer a balanced climate-resilient strategy. This study provides quantitative insights into climate adaptation-mitigation linkages and identifies cost-effective management plans.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"40 1","pages":"149410"},"PeriodicalIF":11.1,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148946957","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":"Robust deployment optimization of flue gas enhanced oil recovery systems under oilfield production uncertainty","authors":"Yuanming Li, Bei Li, Shuangxing Liu, Ming Xue, Xingchun Li, Peng Wu","doi":"10.1016/j.jclepro.2026.149375","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.149375","url":null,"abstract":"Effective deployment of flue gas enhanced oil recovery (EOR) systems requires coordinated decisions under changing techno-economic conditions and uncertain oilfield production. This study develops an integrated framework for optimizing the deployment of flue gas EOR systems by combining flue gas composition characterization, dynamic forecasting of techno-economic parameters, and two-stage robust optimization. A column-and-constraint generation (CCG) algorithm is employed to solve the model. The results indicate that (1) the proposed model coordinates facility and capacity planning with flue gas allocation, producing deployment plans that remain feasible under worst-case realizations of oilfield production; (2) the CCG algorithm achieves faster convergence and greater computational efficiency than Benders decomposition (BD) while retaining a verifiable optimality guarantee, demonstrating its suitability for larger deployment problems; and (3) compared with conventional CO<ce:inf loc=\"post\">2</ce:inf>-EOR, flue gas EOR reduces the total system cost by approximately 48.3%, while its compression-related cost is 59.0% lower than the capture-related cost of the benchmark system. These findings provide a quantitative and methodological basis for the robust and economically efficient deployment of flue gas EOR systems under uncertain operating conditions.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"25 1","pages":"149375"},"PeriodicalIF":11.1,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148946954","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":"Additive-free microwave co-pyrolysis of polyethylene and sewage sludge for cleaner waste valorization and energy recovery","authors":"Jiangtao Meng, Tao Wang, Lei Ren, Jing Wang, Yuanyuan Zhang, Jingkuan Li, Fei Wang","doi":"10.1016/j.jclepro.2026.149405","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.149405","url":null,"abstract":"This study evaluated the additive-free microwave co-pyrolysis of commercial polyethylene packaging bag waste (PEB) and municipal sewage sludge (SS), without externally added microwave absorbers or commercial catalysts. In this study, conventional pyrolysis (CP) and microwave pyrolysis (MWP) of PEB and PEB + SS were systematically compared at 400-800 °C in terms of product distribution, gas and liquid composition, char functional groups, and energy extraction. For PEB, MWP resulted in a markedly different apparent low-temperature conversion behavior compared with CP. At 400 °C, the liquid-tar yield reached 71.3% under MWP, whereas CP retained 92.6% solid residue. After SS addition, MWP-PEB + SS showed a more pronounced redistribution of products than CP-PEB + SS. The observed increase in liquid yield and the changes in gas composition suggest that the polar organic matter, retained water, and inorganic constituents in SS may contribute to microwave-assisted conversion and product regulation, thereby facilitating PEB-SS conversion. At 800 °C, MWP-PEB + SS achieved a liquid tar yield of 60.3% with an HHV of 21.95 MJ/kg. Meanwhile, the gas composition shifted from hydrocarbon-rich products toward H<ce:inf loc=\"post\">2</ce:inf>/CO-enriched gas, which was consistent with possible reforming-related pathways. Energy extraction analysis further demonstrated that MWP-PEB + SS at 800 °C was the most favorable microwave co-pyrolysis condition, achieving a product energy recovery efficiency of 64.02%, with liquid tar serving as the dominant energy carrier. Overall, this study indicates that SS may reduce the dependence on external microwave absorbers and commercial catalysts by providing intrinsic microwave-responsive and reaction-regulating components. This additive-free strategy may simplify solid-residue management and provide a cleaner-production-oriented route for converting mixed solid wastes into energy-dense liquid products and H<ce:inf loc=\"post\">2</ce:inf>/CO-enriched gas.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"389 1","pages":"149405"},"PeriodicalIF":11.1,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148946952","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":"Computer-aided ionic liquid design integrated with process parallel computing for enhanced C4 hydrocarbon separation","authors":"Chao Guo, Kai Luo, Wei Hou, Maoxiang Zhou, Yi Man","doi":"10.1016/j.jclepro.2026.149415","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.149415","url":null,"abstract":"The molecular solvent-based extractive distillation used for the separation of 1,3-butadiene from C<ce:inf loc=\"post\">4</ce:inf> hydrocarbons continues to be challenging due to the presence of multiple azeotropes and close-boiling mixtures. Ionic liquids (ILs) are regarded as promising alternatives, but due to the time-consuming nature of process optimization, only a limited number of IL processes can be evaluated, so ILs with outstanding thermodynamic abilities may still underperform in practical applications. To address this contradiction, this work proposes a novel method integrating computer-aided ILs design with process parallel optimization. It solves a multi-objective mixed-integer nonlinear programming model using a sequential strategy, first maximizing the separation selectivity to identify 10 preferred IL structures, and then rapidly minimizing their process costs. The optimization time based on rigorous process models is significantly reduced from 11.32 h in serial mode to 3.83 h in parallel mode. The [MMIM][TFA] exhibits the best process performance, reducing the total annual cost by 44.34% compared to the conventional NMP-water process. Notably, the ranking of thermodynamic selectivity ([HMIM][TFA] ranks highest) is inconsistent with the ranking of the process costs, highlighting that solely pursuing thermodynamic abilities may lead to suboptimal designs at the process level. Furthermore, quantum chemical calculations reveal that the superior separation performance of [MMIM][TFA] for binary C<ce:inf loc=\"post\">4</ce:inf> mixtures is mainly governed by the combined effect of its stronger electrostatic interactions and dispersion interactions, compared with NMP. This method framework provides an integrated solution for the green separation, spanning from the molecular to the process scale.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"27 1","pages":"149415"},"PeriodicalIF":11.1,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148946978","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":"Acid mine drainage as a lixiviant for rare earth element recovery from ion-adsorption clay mine tailings: leaching behavior, mechanistic interpretation, and machine-learning-assisted analysis","authors":"Meijing Li, Juanli Wu, Jiahui Hu, Zuliang Chen","doi":"10.1016/j.jclepro.2026.149432","DOIUrl":"https://doi.org/10.1016/j.jclepro.2026.149432","url":null,"abstract":"This study evaluates a mine-internal waste-to-waste strategy in which raw acid mine drainage (AMD) generated at an ion-adsorption rare earth mine is reused as an on-site lixiviant to recover residual rare earth elements (REEs), including yttrium (Y) and scandium (Sc), from associated mine tailings. One-factor-at-a-time screening identified favorable laboratory conditions (solid-to-liquid ratio [S/L] = 1:50, 50 °C, 135 rpm, and 3 h), under which the reported calculations gave REE extraction efficiencies of approximately 70-92%. Solution and surface analyses documented REE release and iron enrichment of the leached residue, while XGBoost-SHAP provided internally evaluated predictive associations that require external validation. The findings support laboratory-scale technical feasibility for integrated management of two mine-derived waste streams, rather than establishing AMD itself as an unconventional REE resource or demonstrating a net environmental or economic benefit. The analytical scope focused on REEs and did not provide a complete mass balance for coexisting Fe, Al, Mn, Pb, As, Th, and U. Scale-up therefore requires assessment of seasonal AMD variability, acid-neutralization demand, downstream REE separation, treatment of the co-contaminated pregnant leach solution, and the long-term stability and leachability of the Fe-rich residue.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"59 1","pages":"149432"},"PeriodicalIF":11.1,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148946980","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}