Energy for Sustainable Development最新文献

{"title":"Techno-economic assessment on the cost-effective manufacture of scaled-up VRFB system - An Indian scenario","authors":"J. Ramesh ,&nbsp;D. Ruben Sudhakar ,&nbsp;G.A. Pathanjali ,&nbsp;M. Raja","doi":"10.1016/j.esd.2025.101841","DOIUrl":"10.1016/j.esd.2025.101841","url":null,"abstract":"<div><div>Vanadium redox flow battery (VRFB) is one of the promising contenders in battery energy storage systems (BESS). India is the third largest producer and consumer of electricity, with aspirations to increase its contributions from renewable energy sources. This study focuses on the techno-economic analysis of the VRFB system in the Indian context. This approach allows for a comparison of system costs in the Indian context with global trends. This work identifies the levelized cost of storage (LCOS) for a 5 kW / 10 kWh VRFB system and compares it against prevailing information in the global market. The analysis shows that the calculated LCOS value of 0.78 $ kWh⁻¹ cycle⁻¹ is approximately 29 % higher than the prevailing global LCOS value of 0.54 $ kWh⁻¹ cycle⁻¹ and far behind the target figure laid down by the US Department of Energy (DOE). The parameters affecting the LCOS are examined through sensitivity analysis, and the dominant factor for the capital costs is identified in an effort towards minimizing the LCOS, which shows a 4.8 % variation for a 10 % change. The high capital cost components, such as membrane and electrolyte, are critically examined and evaluated using indigenously developed components in a single cell for understanding the performance metrics. Additionally, the graphite plates and felt are analysed similarly as above for further cost reduction. An optimal combination of key materials and components determined through orthogonal analysis, achieving a lowest LCOS of 0.46 $ kWh⁻¹ cycle⁻¹. This analysis provides new insights into furthering the cost reduction measures for the manufacture of the VRFB system and moving towards the coveted golden LCOS target of DOE.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"89 ","pages":"Article 101841"},"PeriodicalIF":4.9,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green hydrogen production from biomass in Kenya: Geospatial feedstock assessment and decentralized energy system integration","authors":"Leila Bekrik ,&nbsp;Auwal Ahmad Musa ,&nbsp;Friday Adejoho Ogwu","doi":"10.1016/j.esd.2025.101842","DOIUrl":"10.1016/j.esd.2025.101842","url":null,"abstract":"<div><div>Green hydrogen is increasingly recognized as a critical energy carrier for global decarbonization. Sub-Saharan Africa possesses abundant biomass resources that could support decentralized hydrogen systems; however, spatially explicit assessments remain limited. This study conducts a geospatial evaluation of forestry residues, crop wastes, and livestock manure across Kenya's 47 counties. Biomass availability was estimated using land cover and productivity datasets. Three biomass-to‑hydrogen pathways—gasification, pyrolysis, and fermentation—were compared using a decision matrix based on yield, efficiency, feedstock compatibility, cost, and technology readiness. Gasification emerged as the most suitable option for Kenya, achieving ~60 kg H₂ per tonne of biomass and 60–70 % conversion efficiency, and was therefore selected for detailed modeling. Hydrogen yields were estimated through a stoichiometric gasification model, while Sankey flow diagrams were used to trace mass and energy balances. Scenario analysis considered both technical maximum and realistic utilization potentials. Croplands and forest residues were identified as higher-quality feedstocks than shrublands. Under technical maximum conditions, hydrogen production potential reaches ~400,000 t per year. A moderate 20 % utilization scenario projects ~70,000 t annually by 2035. Environmental co-benefits include up to 0.9 MtCO₂e in emission offsets via biochar application and fossil fuel substitution. Overall, Kenya's biomass resources can sustain decentralized hydrogen pathways that advance both energy transition and rural development goals. Geospatially targeted feedstock mapping provides a replicable framework for policy, infrastructure planning, and climate co-benefit integration in emerging economies.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"89 ","pages":"Article 101842"},"PeriodicalIF":4.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MCDM GIS framework for wind energy sites suitability in Algeria's northwest","authors":"Daaou Nedjari Hafida,&nbsp;Samira Louassa,&nbsp;Sabiha Kheder-Haddouche","doi":"10.1016/j.esd.2025.101836","DOIUrl":"10.1016/j.esd.2025.101836","url":null,"abstract":"<div><div>To fulfill rising energy demand and slow global warming, countries worldwide are gradually transitioning to renewable energy, including wind power. However, the wind project's success depends on ideal locations, influenced by conflicting feasibility factors, and on balancing energy objectives, costs, and social and environmental concerns. This study proposes a holistic framework for analyzing the complex issues related to wind energy transition solutions using Multi-Criteria Decision-Making (MCDM) methodology, combining geographic information systems (GIS) and the Analytic Hierarchy Process (AHP). To address the optimal wind site selection challenge, this process evaluates sites based on eight feasibility factors, including infrastructural accessibility, technological limitations, and environmental issues. A priority assessment survey was conducted using the expert method. The energy production maximization objectives were mainly based on wind speed and power density data produced using the Wind Atlas Analysis and Application Program (WAsP 12.9) at the regional scale. Overlaying the scores with GIS mapping criteria assisted the sites' classification into five categories, from “unsuitable” to “most suitable”. The proposed MCDM rules, adapted to local conditions, significantly reduced the number of preliminary alternatives by about two-thirds. The regions deemed viable for suitable wind exploitation encompass approximately 1369 km². The cumulative installed capacity reaches 10 GW, including 4.8 GW in Oran and 1.2 GW in Chlef. Fifteen scenarios were assessed, resulting in an effective capacity of 1.43 GW. The results made it possible to construct a roadmap for wind farms, particularly in northwest Algeria, which may attract the interest of policy makers and industry stakeholders.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"89 ","pages":"Article 101836"},"PeriodicalIF":4.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green hydrogen production from biomass in Kenya: Geospatial feedstock assessment and decentralized energy system integration","authors":"Leila Bekrik ,&nbsp;Auwal Ahmad Musa ,&nbsp;Friday Adejoho Ogwu","doi":"10.1016/j.esd.2025.101842","DOIUrl":"10.1016/j.esd.2025.101842","url":null,"abstract":"<div><div>Green hydrogen is increasingly recognized as a critical energy carrier for global decarbonization. Sub-Saharan Africa possesses abundant biomass resources that could support decentralized hydrogen systems; however, spatially explicit assessments remain limited. This study conducts a geospatial evaluation of forestry residues, crop wastes, and livestock manure across Kenya's 47 counties. Biomass availability was estimated using land cover and productivity datasets. Three biomass-to‑hydrogen pathways—gasification, pyrolysis, and fermentation—were compared using a decision matrix based on yield, efficiency, feedstock compatibility, cost, and technology readiness. Gasification emerged as the most suitable option for Kenya, achieving ~60 kg H₂ per tonne of biomass and 60–70 % conversion efficiency, and was therefore selected for detailed modeling. Hydrogen yields were estimated through a stoichiometric gasification model, while Sankey flow diagrams were used to trace mass and energy balances. Scenario analysis considered both technical maximum and realistic utilization potentials. Croplands and forest residues were identified as higher-quality feedstocks than shrublands. Under technical maximum conditions, hydrogen production potential reaches ~400,000 t per year. A moderate 20 % utilization scenario projects ~70,000 t annually by 2035. Environmental co-benefits include up to 0.9 MtCO₂e in emission offsets via biochar application and fossil fuel substitution. Overall, Kenya's biomass resources can sustain decentralized hydrogen pathways that advance both energy transition and rural development goals. Geospatially targeted feedstock mapping provides a replicable framework for policy, infrastructure planning, and climate co-benefit integration in emerging economies.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"89 ","pages":"Article 101842"},"PeriodicalIF":4.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring biogas venting from over-pressurisation of household scale dome biogas digesters: A case study in Kenya and Uganda","authors":"Joel Chaney ,&nbsp;Benjamin L. Robinson ,&nbsp;Mike Clifford","doi":"10.1016/j.esd.2025.101815","DOIUrl":"10.1016/j.esd.2025.101815","url":null,"abstract":"<div><div>Methane emissions from household-scale biogas digesters represent a potentially significant climate concern that has been largely overlooked in rural energy access programmes. This study presents the first assessment of biogas venting patterns, resulting from over-pressure, across 53 household-scale biogas digesters in Kenya and Uganda. We develop and apply a methodology for estimating venting using digital monitoring technology known as ‘Smart Biogas’, which continuously measures pressure and flow data to quantify both the volume and timing of biogas loss.</div><div>Our findings reveal a complex picture of household biogas use. By measuring the Biogas Utilisation Factor (BUF) - the ratio of consumed to generated biogas, where a lower BUF indicates higher venting rates - we found that households can achieve excellent performance during optimal periods, with venting rates below 3 % across all digester sizes, which demonstrates the potential for optimised biogas use. However, although most households maintain good biogas utilisation most of the time, periodic episodes of underuse significantly impact overall performance. The mean pressure-driven venting rates ranged from 10.8 % ± 12.7 % for 10 m³ digesters to 20.9 % ± 20.9 % for 6 m³ digesters (overall mean: 15.9 % ± 20.2 %). Temporal patterns also emerge, with increased venting likely during afternoon and nighttime hours, and during agricultural planting seasons when cooking patterns change. Drawing from these insights, we propose strategies to help households maintain the consistent high biogas utilisation they achieve during optimal periods.</div><div>The methodology developed in this paper can be applied across other biogas programmes to build a broader understanding of patterns of biogas use and the likelihood of venting. These findings have implications for biogas programme design, carbon credit methodologies, and efforts to maximise both the climate benefits and household value of small-scale biogas systems.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"89 ","pages":"Article 101815"},"PeriodicalIF":4.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring biogas venting from over-pressurisation of household scale dome biogas digesters: A case study in Kenya and Uganda","authors":"Joel Chaney ,&nbsp;Benjamin L. Robinson ,&nbsp;Mike Clifford","doi":"10.1016/j.esd.2025.101815","DOIUrl":"10.1016/j.esd.2025.101815","url":null,"abstract":"<div><div>Methane emissions from household-scale biogas digesters represent a potentially significant climate concern that has been largely overlooked in rural energy access programmes. This study presents the first assessment of biogas venting patterns, resulting from over-pressure, across 53 household-scale biogas digesters in Kenya and Uganda. We develop and apply a methodology for estimating venting using digital monitoring technology known as ‘Smart Biogas’, which continuously measures pressure and flow data to quantify both the volume and timing of biogas loss.</div><div>Our findings reveal a complex picture of household biogas use. By measuring the Biogas Utilisation Factor (BUF) - the ratio of consumed to generated biogas, where a lower BUF indicates higher venting rates - we found that households can achieve excellent performance during optimal periods, with venting rates below 3 % across all digester sizes, which demonstrates the potential for optimised biogas use. However, although most households maintain good biogas utilisation most of the time, periodic episodes of underuse significantly impact overall performance. The mean pressure-driven venting rates ranged from 10.8 % ± 12.7 % for 10 m³ digesters to 20.9 % ± 20.9 % for 6 m³ digesters (overall mean: 15.9 % ± 20.2 %). Temporal patterns also emerge, with increased venting likely during afternoon and nighttime hours, and during agricultural planting seasons when cooking patterns change. Drawing from these insights, we propose strategies to help households maintain the consistent high biogas utilisation they achieve during optimal periods.</div><div>The methodology developed in this paper can be applied across other biogas programmes to build a broader understanding of patterns of biogas use and the likelihood of venting. These findings have implications for biogas programme design, carbon credit methodologies, and efforts to maximise both the climate benefits and household value of small-scale biogas systems.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"89 ","pages":"Article 101815"},"PeriodicalIF":4.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic site selection for biohydrogen production: Enhancing rural sustainability through agricultural biomass","authors":"Mehmet Seyhan ,&nbsp;Himmet Erdi Tanürün ,&nbsp;Nezir Aydin ,&nbsp;Ertugrul Ayyildiz","doi":"10.1016/j.esd.2025.101838","DOIUrl":"10.1016/j.esd.2025.101838","url":null,"abstract":"<div><div>This study develops a systematic multi-criteria decision-making framework to identify optimal sites for biomass-based hydrogen production facilities, emphasizing sustainability and rural development in developing countries. We introduce a hybrid Multi-Criteria Decision-Making (MCDM) approach that integrates the Best–Worst Method (BWM) for criteria weighting with Pythagorean Fuzzy COmbinative Distance-based ASsessment (PF-CODAS) for alternative ranking, enabling robust evaluation under uncertainty. The criteria are structured as a five-pillar framework consisting of economic market factors, environmental sustainability, resource utilization, process efficiency, and safety considerations, operationalized via 29 sub-criteria and informed by seven domain experts. Applying this approach in Türkiye, five rural locations (Konya, Adana, Balıkesir, Şanlıurfa, Samsun) were assessed, using agricultural residues as the primary feedstock context. Konya ranked first and Adana second, reflecting strong logistics and market conditions and biomass availability alongside environmental performance. BWM results highlight GHG Emission Reduction as the highest weighted sub-criterion with Water Resource Utilization, and within process efficiency, Thermal Optimization is also prominent. A sensitivity analysis showed stable rankings for the top alternative, and comparative benchmarking against two well-known methods yielded consistent top two results, underscoring methodological robustness. This study highlights the significant potential of strategically located biomass-to‑hydrogen facilities to improve rural livelihoods, support local economies, and contribute to global sustainability goals by offering a viable alternative to traditional biomass use.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"89 ","pages":"Article 101838"},"PeriodicalIF":4.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving electricity demand growth estimation in rural mini-grids through data-driven appliance diffusion modeling","authors":"Leticia Tomas Fillol ,&nbsp;Nicolò Stevanato ,&nbsp;Antti Pinomaa ,&nbsp;Riccardo Mereu ,&nbsp;Samuli Honkapuro","doi":"10.1016/j.esd.2025.101826","DOIUrl":"10.1016/j.esd.2025.101826","url":null,"abstract":"<div><div>Accurate load modeling is crucial for designing reliable and cost-effective mini-grids in rural, under-served communities accessing electricity for the first time. Current models often fail to capture the evolving energy demands associated with changes in appliance ownership and socio-economic growth. The study introduces a bottom-up, adaptable model that forecasts a progressive appliance adoption and customer base in order to improve long-term electricity demand estimations. This study employs real-world appliance adoption trends from rural Kenya as a case study and uses logistic diffusion and optimization techniques to model appliance diffusion. The findings highlight significant variability in appliance adoption rates already during the first years of electricity access between different household groups, identified through clustering algorithms. This variability underscores the need for dynamic modeling over traditional static categorization of end users to more accurately reflect evolving consumer energy consumption profiles. The proposed model serves as a tool to enhance multiyear load profile generation and support microgrid design in similar settings.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"89 ","pages":"Article 101826"},"PeriodicalIF":4.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic site selection for biohydrogen production: Enhancing rural sustainability through agricultural biomass","authors":"Mehmet Seyhan ,&nbsp;Himmet Erdi Tanürün ,&nbsp;Nezir Aydin ,&nbsp;Ertugrul Ayyildiz","doi":"10.1016/j.esd.2025.101838","DOIUrl":"10.1016/j.esd.2025.101838","url":null,"abstract":"<div><div>This study develops a systematic multi-criteria decision-making framework to identify optimal sites for biomass-based hydrogen production facilities, emphasizing sustainability and rural development in developing countries. We introduce a hybrid Multi-Criteria Decision-Making (MCDM) approach that integrates the Best–Worst Method (BWM) for criteria weighting with Pythagorean Fuzzy COmbinative Distance-based ASsessment (PF-CODAS) for alternative ranking, enabling robust evaluation under uncertainty. The criteria are structured as a five-pillar framework consisting of economic market factors, environmental sustainability, resource utilization, process efficiency, and safety considerations, operationalized via 29 sub-criteria and informed by seven domain experts. Applying this approach in Türkiye, five rural locations (Konya, Adana, Balıkesir, Şanlıurfa, Samsun) were assessed, using agricultural residues as the primary feedstock context. Konya ranked first and Adana second, reflecting strong logistics and market conditions and biomass availability alongside environmental performance. BWM results highlight GHG Emission Reduction as the highest weighted sub-criterion with Water Resource Utilization, and within process efficiency, Thermal Optimization is also prominent. A sensitivity analysis showed stable rankings for the top alternative, and comparative benchmarking against two well-known methods yielded consistent top two results, underscoring methodological robustness. This study highlights the significant potential of strategically located biomass-to‑hydrogen facilities to improve rural livelihoods, support local economies, and contribute to global sustainability goals by offering a viable alternative to traditional biomass use.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"89 ","pages":"Article 101838"},"PeriodicalIF":4.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving electricity demand growth estimation in rural mini-grids through data-driven appliance diffusion modeling","authors":"Leticia Tomas Fillol ,&nbsp;Nicolò Stevanato ,&nbsp;Antti Pinomaa ,&nbsp;Riccardo Mereu ,&nbsp;Samuli Honkapuro","doi":"10.1016/j.esd.2025.101826","DOIUrl":"10.1016/j.esd.2025.101826","url":null,"abstract":"<div><div>Accurate load modeling is crucial for designing reliable and cost-effective mini-grids in rural, under-served communities accessing electricity for the first time. Current models often fail to capture the evolving energy demands associated with changes in appliance ownership and socio-economic growth. The study introduces a bottom-up, adaptable model that forecasts a progressive appliance adoption and customer base in order to improve long-term electricity demand estimations. This study employs real-world appliance adoption trends from rural Kenya as a case study and uses logistic diffusion and optimization techniques to model appliance diffusion. The findings highlight significant variability in appliance adoption rates already during the first years of electricity access between different household groups, identified through clustering algorithms. This variability underscores the need for dynamic modeling over traditional static categorization of end users to more accurately reflect evolving consumer energy consumption profiles. The proposed model serves as a tool to enhance multiyear load profile generation and support microgrid design in similar settings.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"89 ","pages":"Article 101826"},"PeriodicalIF":4.9,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}