Energy for Sustainable Development最新文献_第7页

An implementation science analysis of an ethanol cooking fuel promotion project in Dar es Salaam, Tanzania 坦桑尼亚达累斯萨拉姆乙醇烹饪燃料推广项目的实施科学分析

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-10-23 DOI: 10.1016/j.esd.2025.101869

Megan Benka-Coker , Maggie L. Clark , Marc Jeuland , Wubshet Tadele , Fiona Rick , Remidius Ruhinduka , Heather Miller , Harry Stokes , Ashlinn Quinn

In 2019, the United Nations Industrial Development Organization (UNIDO) launched the “Promotion of Bio-Ethanol as Alternative Clean Fuel for Cooking in the United Republic of Tanzania” project with an aim to promote and distribute 500,000 bioethanol stoves in Dar es Salaam by 2024. The “Proof of Concept” Phase I of the project aimed to sell 110,000 stoves and establish a strong retail market for ethanol fuel. In this study, we conduct an implementation science analysis of Phase I of the project, describing the roll-out of this market-based bioethanol stove program. Leveraging program administrative data, individual interviews and focus-group discussions, we apply the RE-AIM framework to evaluate the successes and limitations of the project. Our findings point to a number of challenges that impeded the establishment of this new market for ethanol cooking technologies and fuels in Dar es Salaam, that were made substantially more difficult by the COVID-19 pandemic. While individual consumers valued the stove, the sale of stoves during Phase I fell far short of targets. Several factors played a role in this underperformance, including the ubiquity and convenience of alternative charcoal fuel, the initial and recurring costs of ethanol stoves and fuel refills, and the limited accessibility of ethanol retail outlets to consumers. Although the initial roll-out of bioethanol stoves in Dar es Salaam underperformed, representatives from UNIDO and stove distributors remain optimistic that the next phase of the project will yield improved results. Our review of this large-scale clean energy project provides key lessons for other similar initiatives, and emphasizes the importance of supportive policies in promoting clean energy.

2019年，联合国工业发展组织（工发组织）启动了“在坦桑尼亚联合共和国推广生物乙醇作为替代清洁烹饪燃料”项目，目标是到2024年在达累斯萨拉姆推广和分发50万个生物乙醇炉灶。该项目的“概念验证”第一阶段旨在销售11万个炉灶，并建立一个强大的乙醇燃料零售市场。在本研究中，我们对项目的第一阶段进行了实施科学分析，描述了这个基于市场的生物乙醇炉计划的推出。利用项目管理数据、个人访谈和焦点小组讨论，我们应用RE-AIM框架来评估项目的成功和局限性。我们的研究结果表明，阻碍在达累斯萨拉姆建立乙醇烹饪技术和燃料新市场的一些挑战，因COVID-19大流行而变得更加困难。虽然个人消费者很重视炉子，但第一阶段炉子的销售远远达不到目标。造成这种不佳表现的因素有几个，包括替代木炭燃料的普遍存在和便利性，乙醇炉和燃料补充的初始和经常性成本，以及消费者获得乙醇零售店的机会有限。虽然达累斯萨拉姆生物乙醇炉的初步推广表现不佳，但工发组织的代表和炉子分销商仍然乐观地认为，该项目的下一阶段将产生更好的结果。我们对这一大型清洁能源项目的回顾为其他类似倡议提供了关键经验，并强调了支持政策在促进清洁能源方面的重要性。

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引用次数: 0

Comparative analysis of PV orientation strategies to tackle summer demand peaks and land limitations 解决夏季需求高峰和土地限制的光伏定向策略比较分析

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-10-22 DOI: 10.1016/j.esd.2025.101864

Shilpi Shital, Neeraj Dhanraj Bokde, Jasmina Lazic, Carlo Fanara

In hot climates, electricity demand during summer, driven largely by cooling often exceeds supply, making photovoltaic (PV) systems a critical resource for meeting peak loads. Primarily focusing on meeting summer load, this study investigates the effect of variation of module tilt and azimuth angles across India, the UAE, and Singapore on PV yield. It identifies optimal orientations for different objectives: maximising annual yield, enhancing summer generation, aligning output with demand patterns, and improving summer production with minimal annual losses. These objectives reflect the diverse priorities of different users and installers. It further analyses seasonal and geographic variations in PV output in relation to demand trends. Using simulations with the PVlib Python library, we demonstrate that strategic adjustments in tilt and azimuth can substantially increase summer generation, reduce inter-row spacing by up to 80%, and improve demand matching, while limiting annual energy losses to below 4% compared to conventional deployment. To our knowledge, this is the first multi-country, multi-objective analysis which offers minimal cost, easy-to-implement strategies to reduce energy scarcity during hot summer months. This work also discusses different practical metrics, i.e. net load reduction and demand–generation correlation to support solar park owners and policy makers deciding about those strategies. By analysing multiple regions with distinct climatic and economic conditions, the study offers insights that can be applied to comparable regions.

在炎热的气候中，夏季主要由制冷驱动的电力需求往往超过供应，这使得光伏（PV）系统成为满足高峰负荷的关键资源。本研究主要着眼于满足夏季负荷，研究了印度、阿联酋和新加坡的组件倾斜和方位角变化对光伏发电产量的影响。它确定了不同目标的最佳方向：最大限度地提高年产量，提高夏季发电量，使产量与需求模式保持一致，并以最小的年损失提高夏季产量。这些目标反映了不同用户和安装程序的不同优先级。它进一步分析了与需求趋势相关的光伏产量的季节性和地理变化。通过使用PVlib Python库进行模拟，我们证明了倾斜和方位角的战略调整可以大大增加夏季发电量，减少多达80%的行间间距，并改善需求匹配，同时将年能量损失限制在4%以下与传统部署相比。据我们所知，这是第一个多国、多目标分析，它提供了最低成本、易于实施的战略，以减少炎热夏季的能源短缺。这项工作还讨论了不同的实际指标，即净负荷减少和需求发电相关性，以支持太阳能公园所有者和政策制定者决定这些策略。通过分析具有不同气候和经济条件的多个地区，该研究提供了可应用于可比地区的见解。

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引用次数: 0

Comparative analysis of PV orientation strategies to tackle summer demand peaks and land limitations 解决夏季需求高峰和土地限制的光伏定向策略比较分析

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-10-22 DOI: 10.1016/j.esd.2025.101864

Shilpi Shital, Neeraj Dhanraj Bokde, Jasmina Lazic, Carlo Fanara

In hot climates, electricity demand during summer, driven largely by cooling often exceeds supply, making photovoltaic (PV) systems a critical resource for meeting peak loads. Primarily focusing on meeting summer load, this study investigates the effect of variation of module tilt and azimuth angles across India, the UAE, and Singapore on PV yield. It identifies optimal orientations for different objectives: maximising annual yield, enhancing summer generation, aligning output with demand patterns, and improving summer production with minimal annual losses. These objectives reflect the diverse priorities of different users and installers. It further analyses seasonal and geographic variations in PV output in relation to demand trends. Using simulations with the PVlib Python library, we demonstrate that strategic adjustments in tilt and azimuth can substantially increase summer generation, reduce inter-row spacing by up to 80%, and improve demand matching, while limiting annual energy losses to below 4% compared to conventional deployment. To our knowledge, this is the first multi-country, multi-objective analysis which offers minimal cost, easy-to-implement strategies to reduce energy scarcity during hot summer months. This work also discusses different practical metrics, i.e. net load reduction and demand–generation correlation to support solar park owners and policy makers deciding about those strategies. By analysing multiple regions with distinct climatic and economic conditions, the study offers insights that can be applied to comparable regions.

在炎热的气候中，夏季主要由制冷驱动的电力需求往往超过供应，这使得光伏（PV）系统成为满足高峰负荷的关键资源。本研究主要着眼于满足夏季负荷，研究了印度、阿联酋和新加坡的组件倾斜和方位角变化对光伏发电产量的影响。它确定了不同目标的最佳方向：最大限度地提高年产量，提高夏季发电量，使产量与需求模式保持一致，并以最小的年损失提高夏季产量。这些目标反映了不同用户和安装程序的不同优先级。它进一步分析了与需求趋势相关的光伏产量的季节性和地理变化。通过使用PVlib Python库进行模拟，我们证明了倾斜和方位角的战略调整可以大大增加夏季发电量，减少多达80%的行间间距，并改善需求匹配，同时将年能量损失限制在4%以下与传统部署相比。据我们所知，这是第一个多国、多目标分析，它提供了最低成本、易于实施的战略，以减少炎热夏季的能源短缺。这项工作还讨论了不同的实际指标，即净负荷减少和需求发电相关性，以支持太阳能公园所有者和政策制定者决定这些策略。通过分析具有不同气候和经济条件的多个地区，该研究提供了可应用于可比地区的见解。

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引用次数: 0

Global overview of agrivoltaic system: The future security for food and energy 农业光伏系统全球概览：未来粮食和能源安全

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-10-21 DOI: 10.1016/j.esd.2025.101870

Urvashi Patel , Suprava Chakraborty

Agrivoltaic (AV) systems, which represent a sophisticated integration of solar energy generation techniques alongside conventional agricultural practices, offer a promising and strategically viable approach to effectively address the rapidly escalating global demand for renewable energy sources, while simultaneously promoting the sustainable utilization of land resources in an era of environmental concern. This novel concept fulfills sustainable development goals (SDG) 2, 3, 7, 9, 12, and 13. This comprehensive systematic review article meticulously investigates the multifaceted dimensions of AV such as installation management, advanced technologies (artificial intelligence/machine learning) into AV frameworks for both crop cultivation and livestock shelter purpose, significant microclimate alterations, the shading influences on crop productivity and optimization of land use practices to maximize efficiency as well as sustainability. This review shows that the Land Equivalence Ratio (LER) consistently greater than 1.0, validating the enhanced productivity of co-location. Ultimately, the review conducts a thorough evaluation of the intricate international policy environment by providing a clear, structured framework that categorizes policies into financial, regulatory, and technological enablers. That could potentially facilitate and expedite the widespread adoption of this innovatively transformative technology within the agricultural and energy sectors. Research and development suggested for recommend PV synergies at every different aspects for future farmovoltaics application. This review provides a detailed overview of AV potential as a sustainable, economically feasible, and strategically advantageous solution for future agricultural practices as well as energy production in a rapidly changing world.

农业光伏（AV）系统代表了太阳能发电技术与传统农业实践的复杂整合，为有效解决全球对可再生能源快速增长的需求提供了一种有前途和战略上可行的方法，同时在环境问题时代促进土地资源的可持续利用。这个新颖的概念实现了可持续发展目标（SDG） 2、3、7、9、12和13。这篇全面的系统综述文章细致地研究了AV的多个方面，如安装管理，先进技术（人工智能/机器学习）纳入作物种植和牲畜庇护所的AV框架，显著的小气候变化，遮阳对作物生产力的影响以及优化土地利用实践，以最大限度地提高效率和可持续性。研究表明，土地等效比（LER）持续大于1.0，验证了共址的生产力提高。最后，本报告通过提供一个清晰、结构化的框架，将政策分为金融、监管和技术推动因素，对错综复杂的国际政策环境进行全面评估。这可能会促进和加快这一创新变革技术在农业和能源部门的广泛采用。研究和发展建议建议光伏协同效应在各个不同的方面，为未来的农业光伏应用。这篇综述详细概述了在快速变化的世界中，AV作为一种可持续的、经济上可行的、具有战略优势的解决方案在未来农业实践和能源生产中的潜力。

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引用次数: 0

Global overview of agrivoltaic system: The future security for food and energy 农业光伏系统全球概览：未来粮食和能源安全

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-10-21 DOI: 10.1016/j.esd.2025.101870

Urvashi Patel , Suprava Chakraborty

Agrivoltaic (AV) systems, which represent a sophisticated integration of solar energy generation techniques alongside conventional agricultural practices, offer a promising and strategically viable approach to effectively address the rapidly escalating global demand for renewable energy sources, while simultaneously promoting the sustainable utilization of land resources in an era of environmental concern. This novel concept fulfills sustainable development goals (SDG) 2, 3, 7, 9, 12, and 13. This comprehensive systematic review article meticulously investigates the multifaceted dimensions of AV such as installation management, advanced technologies (artificial intelligence/machine learning) into AV frameworks for both crop cultivation and livestock shelter purpose, significant microclimate alterations, the shading influences on crop productivity and optimization of land use practices to maximize efficiency as well as sustainability. This review shows that the Land Equivalence Ratio (LER) consistently greater than 1.0, validating the enhanced productivity of co-location. Ultimately, the review conducts a thorough evaluation of the intricate international policy environment by providing a clear, structured framework that categorizes policies into financial, regulatory, and technological enablers. That could potentially facilitate and expedite the widespread adoption of this innovatively transformative technology within the agricultural and energy sectors. Research and development suggested for recommend PV synergies at every different aspects for future farmovoltaics application. This review provides a detailed overview of AV potential as a sustainable, economically feasible, and strategically advantageous solution for future agricultural practices as well as energy production in a rapidly changing world.

农业光伏（AV）系统代表了太阳能发电技术与传统农业实践的复杂整合，为有效解决全球对可再生能源快速增长的需求提供了一种有前途和战略上可行的方法，同时在环境问题时代促进土地资源的可持续利用。这个新颖的概念实现了可持续发展目标（SDG） 2、3、7、9、12和13。这篇全面的系统综述文章细致地研究了AV的多个方面，如安装管理，先进技术（人工智能/机器学习）纳入作物种植和牲畜庇护所的AV框架，显著的小气候变化，遮阳对作物生产力的影响以及优化土地利用实践，以最大限度地提高效率和可持续性。研究表明，土地等效比（LER）持续大于1.0，验证了共址的生产力提高。最后，本报告通过提供一个清晰、结构化的框架，将政策分为金融、监管和技术推动因素，对错综复杂的国际政策环境进行全面评估。这可能会促进和加快这一创新变革技术在农业和能源部门的广泛采用。研究和发展建议建议光伏协同效应在各个不同的方面，为未来的农业光伏应用。这篇综述详细概述了在快速变化的世界中，AV作为一种可持续的、经济上可行的、具有战略优势的解决方案在未来农业实践和能源生产中的潜力。

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引用次数: 0

Sustainable hydropower challenges for transboundary Himalayan River Tista: Strengthening future water-sharing between India and Bangladesh 跨界喜马拉雅河Tista的可持续水电挑战：加强印度和孟加拉国之间未来的水资源共享

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-10-21 DOI: 10.1016/j.esd.2025.101862

Kausik Ghosh , Christopher A. Scott

The growing demand for renewable energy highlights hydropower as a key source for achieving global energy security and sustainable development. Hydropower accounts for 70 % of renewable energy worldwide, yet significant untapped potential remains, particularly in transboundary river basins where socio-environmental and geopolitical challenges often hinder hydroelectric projects (HEPs). This study examines the transboundary Himalayan River Tista, shared by upstream India and downstream Bangladesh, where 14 HEPs with 3500 MW capacity have altered basin hydrology, disrupted ecosystem services, and heightened water-sharing tensions between riparian nations. The proposed equitable (50–50 proportion) water-sharing framework for resolving Tista water tensions, remain insufficient as it focuses solely on water allocation while neglecting socio-ecological demands and environmental flow concerns. Hence, this study advances a cooperation framework of hydropower as a water benefit-sharing mechanism that addresses sustainable energy generation with transboundary water governance. The study highlights key challenges of hydropower generation, including climate change, natural hazards, reduced downstream flows, and increasing dry season water demand, which affect riparian nations. By addressing these challenges, this study explores strategies to balance energy production with sustainable water management, by equitably allocating 71.5 MW of hydroelectricity to downstream Bangladesh during dry seasons. This quantification of benefit-sharing framework offers a promising solution to mitigate Tista water tensions, balances sustainable hydropower generation and enhances transboundary river cooperation. This work outlines how benefit-sharing can be expanded to explicit mechanisms of transboundary hydropower cooperation, contributing to policy strategies to foster water-energy security and regional cooperation.

对可再生能源日益增长的需求凸显了水电作为实现全球能源安全和可持续发展的关键来源。水电占全球可再生能源的70%，但仍有巨大的未开发潜力，特别是在跨界河流流域，那里的社会环境和地缘政治挑战往往阻碍水电项目（HEPs）。本研究考察了上游印度和下游孟加拉国共享的跨界喜马拉雅河Tista，其中14个3500mw容量的hep改变了流域水文，破坏了生态系统服务，并加剧了沿岸国家之间水资源共享的紧张局势。拟议的解决Tista水资源紧张局势的公平（50-50比例）水资源共享框架仍然不够，因为它只关注水资源分配，而忽视了社会生态需求和环境流动问题。因此，本研究提出了一个水电合作框架，作为一种水利益分享机制，通过跨境水治理解决可持续能源生产问题。该研究强调了水力发电面临的主要挑战，包括气候变化、自然灾害、下游流量减少以及旱季用水需求增加，这些都会影响到沿岸国家。通过应对这些挑战，本研究探索了平衡能源生产与可持续水资源管理的战略，在旱季向孟加拉国下游公平分配71.5兆瓦的水力发电。这一量化利益分享框架为缓解蒂斯塔水资源紧张局势、平衡可持续水电发电和加强跨界河流合作提供了一个有希望的解决方案。这项工作概述了如何将利益分享扩大到跨境水电合作的明确机制，为促进水-能源安全和区域合作的政策战略作出贡献。

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引用次数: 0

GIS–MCDM integrated location–allocation analysis for optimizing biomass power facility siting and supply chain: Case study of Moga District, Punjab, India 优化生物质发电设施选址和供应链的GIS-MCDM集成选址-分配分析：印度旁遮普省Moga区案例研究

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-10-21 DOI: 10.1016/j.esd.2025.101871

S.K. Saraswat , Deepika Swami

Biomass offers a reliable, year-round energy supply, but its large-scale adoption is hindered by the unorganized supply chain compared to coal, leading to the increasing cost of energy generation from biomass. The study aim is to design a framework to bring the cost of bioenergy at par with coal, which involved performing a case study of decentralized biopower plant in Moga, Punjab, India with four key objectives: (i) analysis of crop residue availability at farm level (30 m × 30 m), (ii) calculation of the optimal transportation distance threshold, (iii) identification of suitable land for biomass power facilities, and (iv) optimization of the transport between farms and power facility. First, the study estimated a total fam-level biomass availability of 1.30 million tonnes (MT), with an average crop yield intensity of 4563 kg/ha. Further, the study calculated an optimal transportation distance threshold of 12.67 km and 1275.72 km² (56.78 %) of the land area as suitable for the installation of biomass power plants. Finally, location-allocation analysis optimized biomass transport between supply centers and power plants. The findings reveal a substantial biomass-based power generation potential of 112.52 MW and an estimated CO₂ reduction of 1.64 MT. The study highlights the viability of biomass as a sustainable and cost-effective energy source.

生物质能提供可靠的全年能源供应，但与煤炭相比，缺乏组织的供应链阻碍了其大规模采用，导致生物质能发电成本上升。该研究的目的是设计一个框架，使生物能源的成本与煤炭相当，其中包括对印度旁遮普省Moga的分散式生物发电厂进行案例研究，其中有四个关键目标：(i)分析农场层面（30米× 30米）的作物秸秆可用性，（ii）计算最佳运输距离阈值，（iii）确定适合用于生物质发电设施的土地，以及（iv）优化农场和电力设施之间的运输。首先，该研究估计总的农场水平生物量可利用性为130万吨，平均作物产量强度为4563公斤/公顷。进一步，研究计算出适宜生物质发电厂安装的最佳运输距离阈值为12.67 km和1275.72 km2（56.78%）的土地面积。最后，通过区位分配分析优化了生物质在供应中心和发电厂之间的运输。研究结果显示，生物质发电潜力为112.52兆瓦，估计可减少1.64亿吨二氧化碳。该研究强调了生物质作为可持续和具有成本效益的能源的可行性。

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引用次数: 0

An integrated Pythagorean Fuzzy Group Decision-Making Framework for sustainable biomass power plant site selection in rural communities 基于毕达哥拉斯模糊群决策框架的农村可持续生物质发电厂选址研究

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-10-21 DOI: 10.1016/j.esd.2025.101868

Brajamohan Sahoo, Bijoy Krishna Debnath

Biomass energy, derived from organic materials such as agricultural residues and energy crops, is a crucial renewable resource for sustainable development. However, establishing biomass power plants presents significant challenges, including feedstock supply inconsistencies, high infrastructure costs, land-use competition, outdated technologies, environmental concerns, and regulatory barriers. To address these complexities, this study proposes a novel Pythagorean fuzzy Multi-Criteria Group Decision-Making (PF-MCGDM) model for optimal site selection. The model integrates three expert evaluations to assess 20 criteria across five potential alternatives, categorized into economic, social, technical, and environmental factors. Additionally, a formula is employed to determine expert weights. A Pythagorean fuzzy aggregation operator is employed to combine expert opinions, ensuring a comprehensive evaluation. Furthermore, an integrated criteria weighting model is introduced, combining objective criteria weights derived using the proposed Pythagorean fuzzy Modified Preference Selection Index (PF-MPSI) method and subjective criteria weights assessed through the Pythagorean fuzzy Stepwise Weight Assessment Ratio Analysis (PF-SWARA) method. To rank the alternatives, an extension of the Root Assessment Method (RAM) within a Pythagorean fuzzy environment is proposed. The proposed integrated model is validated through a case study for selecting an optimal location for a biomass power plant, identifying the fifth alternative as the most suitable site. This study also discusses sensitivity, comparative, and statistical analysis to validate the reliability of the methodology, while managerial implications provide actionable insights. Owing to its robustness and flexibility, the proposed model can be applied to complex decision-making problems across diverse domains.

来自农业残留物和能源作物等有机材料的生物质能是可持续发展的重要可再生资源。然而，建立生物质发电厂面临重大挑战，包括原料供应不一致、基础设施成本高、土地使用竞争、过时的技术、环境问题和监管障碍。为了解决这些复杂性，本研究提出了一种新的毕达哥拉斯模糊多准则群体决策（PF-MCGDM）模型，用于最优选址。该模型整合了3个专家评估，评估了5个潜在替代方案的20个标准，这些标准被分类为经济、社会、技术和环境因素。此外，还采用了一个公式来确定专家权重。采用毕达哥拉斯模糊聚合算子对专家意见进行组合，保证了评价的全局性。在此基础上，提出了基于毕达哥拉斯模糊修正偏好选择指数（PF-MPSI）法的客观指标权重与基于毕达哥拉斯模糊逐步权重评价比分析法（PF-SWARA）的主观指标权重相结合的综合指标权重模型。为了对备选方案进行排序，提出了一种基于毕达哥拉斯模糊环境的根评价方法的扩展。通过一个为生物质发电厂选择最佳位置的案例研究，确定第五个备选方案是最合适的地点，从而验证了所提出的集成模型。本研究还讨论了敏感性、比较和统计分析，以验证方法的可靠性，而管理意义提供了可操作的见解。该模型具有较强的鲁棒性和灵活性，可以应用于不同领域的复杂决策问题。

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引用次数: 0

Sustainable hydropower challenges for transboundary Himalayan River Tista: Strengthening future water-sharing between India and Bangladesh 跨界喜马拉雅河Tista的可持续水电挑战：加强印度和孟加拉国之间未来的水资源共享

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-10-21 DOI: 10.1016/j.esd.2025.101862

Kausik Ghosh , Christopher A. Scott

The growing demand for renewable energy highlights hydropower as a key source for achieving global energy security and sustainable development. Hydropower accounts for 70 % of renewable energy worldwide, yet significant untapped potential remains, particularly in transboundary river basins where socio-environmental and geopolitical challenges often hinder hydroelectric projects (HEPs). This study examines the transboundary Himalayan River Tista, shared by upstream India and downstream Bangladesh, where 14 HEPs with 3500 MW capacity have altered basin hydrology, disrupted ecosystem services, and heightened water-sharing tensions between riparian nations. The proposed equitable (50–50 proportion) water-sharing framework for resolving Tista water tensions, remain insufficient as it focuses solely on water allocation while neglecting socio-ecological demands and environmental flow concerns. Hence, this study advances a cooperation framework of hydropower as a water benefit-sharing mechanism that addresses sustainable energy generation with transboundary water governance. The study highlights key challenges of hydropower generation, including climate change, natural hazards, reduced downstream flows, and increasing dry season water demand, which affect riparian nations. By addressing these challenges, this study explores strategies to balance energy production with sustainable water management, by equitably allocating 71.5 MW of hydroelectricity to downstream Bangladesh during dry seasons. This quantification of benefit-sharing framework offers a promising solution to mitigate Tista water tensions, balances sustainable hydropower generation and enhances transboundary river cooperation. This work outlines how benefit-sharing can be expanded to explicit mechanisms of transboundary hydropower cooperation, contributing to policy strategies to foster water-energy security and regional cooperation.

对可再生能源日益增长的需求凸显了水电作为实现全球能源安全和可持续发展的关键来源。水电占全球可再生能源的70%，但仍有巨大的未开发潜力，特别是在跨界河流流域，那里的社会环境和地缘政治挑战往往阻碍水电项目（HEPs）。本研究考察了上游印度和下游孟加拉国共享的跨界喜马拉雅河Tista，其中14个3500mw容量的hep改变了流域水文，破坏了生态系统服务，并加剧了沿岸国家之间水资源共享的紧张局势。拟议的解决Tista水资源紧张局势的公平（50-50比例）水资源共享框架仍然不够，因为它只关注水资源分配，而忽视了社会生态需求和环境流动问题。因此，本研究提出了一个水电合作框架，作为一种水利益分享机制，通过跨境水治理解决可持续能源生产问题。该研究强调了水力发电面临的主要挑战，包括气候变化、自然灾害、下游流量减少以及旱季用水需求增加，这些都会影响到沿岸国家。通过应对这些挑战，本研究探索了平衡能源生产与可持续水资源管理的战略，在旱季向孟加拉国下游公平分配71.5兆瓦的水力发电。这一量化利益分享框架为缓解蒂斯塔水资源紧张局势、平衡可持续水电发电和加强跨界河流合作提供了一个有希望的解决方案。这项工作概述了如何将利益分享扩大到跨境水电合作的明确机制，为促进水-能源安全和区域合作的政策战略作出贡献。

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引用次数: 0

An integrated Pythagorean Fuzzy Group Decision-Making Framework for sustainable biomass power plant site selection in rural communities 基于毕达哥拉斯模糊群决策框架的农村可持续生物质发电厂选址研究

IF 4.9 2区工程技术 Q2 ENERGY & FUELS

Energy for Sustainable Development

Pub Date : 2025-10-21 DOI: 10.1016/j.esd.2025.101868

Brajamohan Sahoo, Bijoy Krishna Debnath

Biomass energy, derived from organic materials such as agricultural residues and energy crops, is a crucial renewable resource for sustainable development. However, establishing biomass power plants presents significant challenges, including feedstock supply inconsistencies, high infrastructure costs, land-use competition, outdated technologies, environmental concerns, and regulatory barriers. To address these complexities, this study proposes a novel Pythagorean fuzzy Multi-Criteria Group Decision-Making (PF-MCGDM) model for optimal site selection. The model integrates three expert evaluations to assess 20 criteria across five potential alternatives, categorized into economic, social, technical, and environmental factors. Additionally, a formula is employed to determine expert weights. A Pythagorean fuzzy aggregation operator is employed to combine expert opinions, ensuring a comprehensive evaluation. Furthermore, an integrated criteria weighting model is introduced, combining objective criteria weights derived using the proposed Pythagorean fuzzy Modified Preference Selection Index (PF-MPSI) method and subjective criteria weights assessed through the Pythagorean fuzzy Stepwise Weight Assessment Ratio Analysis (PF-SWARA) method. To rank the alternatives, an extension of the Root Assessment Method (RAM) within a Pythagorean fuzzy environment is proposed. The proposed integrated model is validated through a case study for selecting an optimal location for a biomass power plant, identifying the fifth alternative as the most suitable site. This study also discusses sensitivity, comparative, and statistical analysis to validate the reliability of the methodology, while managerial implications provide actionable insights. Owing to its robustness and flexibility, the proposed model can be applied to complex decision-making problems across diverse domains.

来自农业残留物和能源作物等有机材料的生物质能是可持续发展的重要可再生资源。然而，建立生物质发电厂面临重大挑战，包括原料供应不一致、基础设施成本高、土地使用竞争、过时的技术、环境问题和监管障碍。为了解决这些复杂性，本研究提出了一种新的毕达哥拉斯模糊多准则群体决策（PF-MCGDM）模型，用于最优选址。该模型整合了3个专家评估，评估了5个潜在替代方案的20个标准，这些标准被分类为经济、社会、技术和环境因素。此外，还采用了一个公式来确定专家权重。采用毕达哥拉斯模糊聚合算子对专家意见进行组合，保证了评价的全局性。在此基础上，提出了基于毕达哥拉斯模糊修正偏好选择指数（PF-MPSI）法的客观指标权重与基于毕达哥拉斯模糊逐步权重评价比分析法（PF-SWARA）的主观指标权重相结合的综合指标权重模型。为了对备选方案进行排序，提出了一种基于毕达哥拉斯模糊环境的根评价方法的扩展。通过一个为生物质发电厂选择最佳位置的案例研究，确定第五个备选方案是最合适的地点，从而验证了所提出的集成模型。本研究还讨论了敏感性、比较和统计分析，以验证方法的可靠性，而管理意义提供了可操作的见解。该模型具有较强的鲁棒性和灵活性，可以应用于不同领域的复杂决策问题。

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引用次数: 0