Journal of Cleaner Production最新文献

{"title":"Towards Financial Resilience: Smart Energy Management in Virtual Power Plants using Stochastic–Robust Optimization","authors":"Yingjian Su, Zhixin Wu, Jia Liu","doi":"10.1016/j.jclepro.2024.144238","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144238","url":null,"abstract":"The dynamic coordination of Distributed Energy Resources (DERs) and price-responsive demands, orchestrated as a Virtual Power Plant (VPP), stands as a pivotal challenge in the electricity industry. This paper presents a novel contribution through the application of stochastic–robust optimization to address the intricate uncertainties associated with stochastic DERs, fluctuating energy prices, and varying Micro-Grid (MG) component availability. Leveraging smart grid technology enables real-time monitoring of the VPP, facilitating dynamic adjustments to energy management decisions in response to uncertainties. The focus is on maximizing the financial profit of the VPP, achieved through seamless integration of solar power stations, storage units, and price-responsive demands within a MG. The paper employs interval- and scenario-based forecasting to systematically model continuous random variables (e.g., energy price and solar generation) and discrete random variables (e.g., MG component availability). Through an in-depth case study, the proposed stochastic–robust optimization is rigorously analyzed, demonstrating superior performance, particularly during contingencies on days with highly volatile energy prices. This research provides valuable insights and a robust framework for navigating the intricate landscape of VPP energy management amid evolving industry dynamics and technological advancements. The stochastic robust model obtained in average 12.5% more profit in comparison with other models. Moreover, regarding the conditional value at risk in the healthy condition of MG, the profit reduced about 43.7% and 12.6% compared to deterministic with confidence levels 85% and 95%, respectively.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"165 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642806","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":"Ensuring energy profitability and environmental sustainability through assessing marginal land suitability in China","authors":"Chuanbin Liang, Shichao Chen, Wenfeng Liu, Taisheng Du","doi":"10.1016/j.jclepro.2024.144220","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144220","url":null,"abstract":"Growing lignocellulosic feedstock on marginal land is one of the attractive ways to achieve China's goals of sustainable development and carbon neutrality while transforming its energy structure. The expansive use of nationally distributed and heterogeneous marginal lands is prone to widespread concerns about sustainability risks at all stages. We utilised a productivity-based suitability index to classify marginal land and examined net energy value (NEV) and greenhouse gas (GHG) emissions under various marginal land development scenarios through extending system boundary from input of field production to energy consumption. We found that marginal lands with high suitability are concentrated in the Northeast, East, and Central China, while marginal lands in the Northwest and Southwest are generally unsuitable for bioenergy crops. The seed and chemical inputs in agricultural production and the enzyme and electricity consumption in ethanol production account for 79∼89% of the total energy inputs, while GHG emissions are dominated by the nitrogen fertilizers to marginal land and electricity consumption in ethanol production. Half of the NEV and reduction in GHG emissions can be obtained by only developing high suitability marginal area, which account for 25% and 14% of the total available marginal land under low and high input scenarios. Whereas, low-yielding fields concentrated in the Southwest can bring serious negative environmental returns. Assessing the suitability of marginal land can help identify promising pathways for ensuring sustainable development.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"8 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642807","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":"Compliance with food safety measures and their economic impact on smallholder dairy farmers: Evidence from the Indo-Gangetic Plains of India","authors":"Sonali Katoch, Anjani Kumar, Deepthi E. Kolady, Kriti Sharma","doi":"10.1016/j.jclepro.2024.144197","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144197","url":null,"abstract":"This study examines the adoption and economic impact of compliance with food safety measures (FSM) using cross-sectional farm-level data from three key states in the Indo-Gangetic Plains, Bihar, Punjab, and Uttar Pradesh, in 2023. The majority of the farmers were operating on marginal and small plots. A Food Safety Index (FSI) derived from 71 distinct practices was used as a quantitative measure of adoption of compliance with FSM. The study assigns 0.60, 0.23, and 0.17 weights to microbiological, physical, and chemical safety measures, respectively, to derive FSI. Determinants of compliance with FSM were analysed using multiple linear regression and ordered logistic model, while Generalized propensity score (GPS) was used to assess the economic impact of compliance with FSM on farm-level performance indicators. The findings indicate that farmers are adopting a moderate level (0.48–0.58) of the FSI. Various socio-economic and demographic factors, such as education, income, marketing channel, training exposure, awareness level, and infrastructure, significantly influence the adoption of FSM. The impact assessment reveals that compliance with FSM correlates with milk prices, productivity, and profitability. However, a lower level of compliance may not yield significant improvements in milk productivity. The study suggests incentivization through pricing reforms, improving infrastructure, strengthening formal marketing channels, and raising awareness through training.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"21 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642772","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":"Performance optimisation of alkali-activated slag ultra-low carbon concrete (AAS-ULCC) for shield tunnel segments by steel fibres","authors":"Jin Pan, Kun Feng, Mingjin Li, Wenjie Xing, Xingyu Deng, Chenjie Chao","doi":"10.1016/j.jclepro.2024.144236","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144236","url":null,"abstract":"Using alkali-activated slag ultra-low carbon concrete (AAS-ULCC) for manufacturing segments offers a novel approach to reducing carbon emissions in shield tunnels. However, the inherent high shrinkage and brittleness of AAS-ULCC could potentially impact the safety and durability of tunnel structures. This study focusses on optimising AAS-ULCC to enhance its suitability for segment structures in shield tunnels. Steel fibres were incorporated to prepare steel fibre-reinforced alkali-activated slag ultra-low carbon concrete (SF-AAS-ULCC), and the impact of varying the length and volume fraction (<em>V</em>_<em>f</em>) of steel fibres on the long-term mechanical properties, shrinkage, and durability of AAS-ULCC was systematically investigated. The findings indicate that adding 1.5% <em>V</em>_<em>f</em> of steel fibres significantly reduced the slump of AAS-ULCC. As the <em>V</em>_<em>f</em> of steel fibres increased, there was a corresponding increase in compressive strength, axial compressive strength, splitting tensile strength, flexural strength, and resistance to sulfate attack in SF-AAS-ULCC. Additionally, the failure mode of SF-AAS-ULCC shifted from brittle to multiple-crack ductile failure. Both autogenous and drying shrinkage of SF-AAS-ULCC were reduced. Analysis using X-ray computed tomography (X-CT) and scanning electron microscopy (SEM) revealed that the steel fibres are tightly bonded with the matrix, and the inclusion of steel fibres decreased the porosity of the matrix and effectively inhibited the development of micro-cracks. The research outcomes offer reliable experimental data for promoting the application of AAS-ULCC in segment production, thereby contributing to the reduction of carbon emissions in the tunnel construction sector.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"38 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642774","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":"Multi-objective optimization of airline fuel loading problem considering sustainable aviation fuel and book-and-claim","authors":"Jeremy Gabriel Uy, Jayne Lois San Juan","doi":"10.1016/j.jclepro.2024.144241","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144241","url":null,"abstract":"Sustainable aviation fuel (SAF) contributes to 65% of all efforts from the airline industry to mitigate carbon emissions. Nonetheless, studies yet to consider SAF in fuel loading problems for environmental benefit. Additionally, book-and-claim is not considered in current optimization studies for airlines to have an option to virtually purchase SAF when it is not available or too expensive in a location to offset carbon emissions. An optimization model is developed for an airline fuel loading decision support system that considers SAF by optimizing cost and environmental impacts simultaneously, integrating the strategies and policies for implementing the use of SAF. A case study was used to test the model to understand its behaviour. Scenario analyses were conducted to highlight potential economic and environmental benefits from optimally managing SAF and book-and-claim. The developed model demonstrates a 17.16% decrease in environmental impact considering a maximum SAF blend of 10%, which highlights the potential of SAF to decarbonize the aviation industry. Mandates set by the government are helpful as airlines tend to result to fuel tankering when fuel costs are high. Book-and-claim is helpful when SAF is expensive in certain airports as airlines can virtually purchase SAF to save on costs.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"46 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642808","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":"How do institutional quality and income asymmetrically affect carbon emissions inequality? A Quantile-on-Quantile assessment for six major global emitters","authors":"Brahim Bergougui, Reda Hamza Boudjana, Samer Mehibel, Manuel A. Zambrano-Monserrate","doi":"10.1016/j.jclepro.2024.144215","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144215","url":null,"abstract":"Carbon emissions inequality (CE-I) represents a significant obstacle to achieving sustainable development and social equity, highlighting the unequal distribution of environmental burdens and benefits among nations. To address this issue effectively, it is important to consider how institutional factors and economic conditions contribute to these disparities. This paper investigates the asymmetric impact of institutional quality (IQ) and income on CE-I, employing a Quantile-on-Quantile Regression (QQR) approach applied to six major global emitters—China, the United States, Germany, India, Russia, and Japan—from 1995 to 2019. The QQR method enables a detailed examination of how these relationships vary across different quantiles of the data, providing insights beyond those of traditional regression models. The findings reveal a non-linear relationship in which improvements in IQ generally decrease CE-I, particularly in contexts of weak governance; however, diminishing returns are observed at higher IQ levels. Income exhibits an inverted U-shaped effect on CE-I, where economic growth initially increases emissions inequality but moderates it at higher income levels. Robustness checks employing quantile Granger causality tests, quantile regression, and Kernel-based regularized least squares demonstrate that both institutional quality and income levels play significant roles in shaping CE-I patterns. Based on these findings, specific policy actions are recommended: in contexts of weak governance, policies should prioritize strengthening IQ to reduce CE-I, while in high-income countries, efforts should focus on promoting equitable income distribution to manage the growth-inequality relationship. Targeted interventions are essential to ensuring both environmental sustainability and social justice in reducing CE-I.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"8 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642813","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":"Micro-level welfare effects of integrated soil fertility management in northern Ghana","authors":"Edward Martey, Prince M. Etwire, John K.M. Kuwornu, Mustapha M. Suraj","doi":"10.1016/j.jclepro.2024.144224","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144224","url":null,"abstract":"Integrated Soil Fertility Management (ISFM) is promoted as a sustainable approach to enhance farm productivity and ensure a reliable food supply. This study examines the association between ISFM, maize yield, income, total asset value, and food security using a quasi-experimental approach, drawing on data from 966 farm households in Ghana. The results show that ISFM adoption increases crop yield by 878 kg/ha, income by $453, and total asset value by $765. Regarding food intake, ISFM adoption boosts the consumption of calories, proteins, and fats during food-scarce periods by 2,406 kcal/day, 52 kg/day, and 90 kg/day, respectively. Consistent with extensive margin findings, the intensity of ISFM adoption is positively correlated with yield, income, total asset value, and food security. However, increasing the number of ISFM practices does not necessarily lead to higher outcomes, as it may be associated with higher labour costs. These results are robust across various model specifications and combinations of ISFM practices. Sustaining the welfare gains from ISFM adoption will require improved access to agricultural production information from research institutions.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"165 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642815","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":"Assessing robust policies for the adoption of low-carbon technologies under uncertainty","authors":"Tom Savage, Antonio del Rio Chanona, Gbemi Oluleye","doi":"10.1016/j.jclepro.2024.144173","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144173","url":null,"abstract":"Increasing the adoption of alternative technologies is vital to ensure a successful transition to net-zero emissions in the manufacturing sector. However, existing models are limited in their ability to analyse technology adoption and the impact of policy interventions in generating sufficient demand to reduce cost in the face of uncertainty. Such a model is vital for assessing policy-instruments for the implementation of future uncertain energy scenarios. We formulate a novel robust market potential assessment problem under uncertainty to support low carbon technology adoption, resulting in policies that are more immune to uncertain factors. We demonstrate two case studies: the potential use of carbon capture and storage for iron and steel production across the EU, and the transition to hydrogen from natural gas in steam boilers across the chemicals industry in the UK. We show that when parameters are jointly 5% uncertain, the robust policy for CCUS adoption results in a 40% increase in cost. Each robust optimisation problem is solved using an iterative cutting planes algorithm which enables existing models to be solved under uncertainty. By taking advantage of parallelisation we are able to solve the nonlinear robust market assessment problem for technology adoption in times within the same order of magnitude as the nominal problem. Our model demonstrates the possibility of locating robust policies for the implementation of low-carbon technologies, as well as providing direct insights for policy-makers into the decrease in policy effectiveness that results from increasing robustness. The approach we present is extensible to a large number of alternative technology adoption problems under uncertainty.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"41 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642810","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":"Nationwide analysis of greenhouse effluents reveals robustness of crops as a modulator of ambient stoichiometry","authors":"Tae In Ahn, Jung-Seok Yang, Yong-Hoon Im, Young Jik Youn, Dahae Kim, Ju Young Lee","doi":"10.1016/j.jclepro.2024.144127","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144127","url":null,"abstract":"Crops are key players in agroecological nutrient dynamics. While the environmental impact of introduced agronomic nutrients has been widely studied, crop traits as modulators of environmental stoichiometry in agroecosystems have not been systematically considered. To observe crop-driven stoichiometric variation, we assessed nutrient variability of greenhouse substrate culture effluents on a nationwide scale in South Korea using 150 effluent samples collected from 10 different geographical locations over two consecutive pepper, tomato and cucumber growing seasons. We found that nutrient concentrations varied widely among crops, with cucumber effluents showing significantly lower quartile ranges (e.g., NO<span><span><math><msubsup is=\"true\"><mrow is=\"true\"></mrow><mrow is=\"true\"><mn is=\"true\">3</mn></mrow><mrow is=\"true\"><mo is=\"true\">−</mo></mrow></msubsup></math></span><script type=\"math/mml\"><math><msubsup is=\"true\"><mrow is=\"true\"></mrow><mrow is=\"true\"><mn is=\"true\">3</mn></mrow><mrow is=\"true\"><mo is=\"true\">−</mo></mrow></msubsup></math></script></span>: 12.4-18.0 mM) compared to tomato and pepper (NO<span><span><math><msubsup is=\"true\"><mrow is=\"true\"></mrow><mrow is=\"true\"><mn is=\"true\">3</mn></mrow><mrow is=\"true\"><mo is=\"true\">−</mo></mrow></msubsup></math></span><script type=\"math/mml\"><math><msubsup is=\"true\"><mrow is=\"true\"></mrow><mrow is=\"true\"><mn is=\"true\">3</mn></mrow><mrow is=\"true\"><mo is=\"true\">−</mo></mrow></msubsup></math></script></span>: 21.2-30.4 mM). However, when converted to molar fractions, the distributions between crops overlapped (NO<span><span><math><msubsup is=\"true\"><mrow is=\"true\"></mrow><mrow is=\"true\"><mn is=\"true\">3</mn></mrow><mrow is=\"true\"><mo is=\"true\">−</mo></mrow></msubsup></math></span><script type=\"math/mml\"><math><msubsup is=\"true\"><mrow is=\"true\"></mrow><mrow is=\"true\"><mn is=\"true\">3</mn></mrow><mrow is=\"true\"><mo is=\"true\">−</mo></mrow></msubsup></math></script></span> molar fraction quartile ranges: 0.42-0.54 for all crops) and the coefficient of variation (%CV) decreased from 30%-98% in concentration units to 12%-65% in molar fractions, with an average reduction of 18.5%p. This reduction in variability suggests that plant absorption kinetics contribute to the low variability in molar fractions. Further stochastic simulation analysis using a simple box model for root zone nutrient fluxes supported this finding. Our results demonstrate the robustness of plants as ambient stoichiometric modulators in agronomic systems. Such information on reduced plant parametric uncertainty may support future efforts to quantify agricultural nutrient budgets and design optimized agroecosystem stoichiometry for improved sustainability.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"248 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642809","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":"Corrigendum to “Strategic incentives and natural capital accounting for sustainable supply chain management: Measuring reputational impacts and consumers’ perceptions of the use of water through behavioural experimental studies” [J. Clean. Prod. 475 (2024) 143621]","authors":"Mauro Fracarolli Nunes ,&nbsp;Camila Lee Park ,&nbsp;Jose A.D. Machuca","doi":"10.1016/j.jclepro.2024.144002","DOIUrl":"10.1016/j.jclepro.2024.144002","url":null,"abstract":"","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"480 ","pages":"Article 144002"},"PeriodicalIF":9.7,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142574277","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}