Renewable and Sustainable Energy Transition最新文献

{"title":"Green energy transition financing in the East African community: A dynamic fixed effects - autoregressive distributed lag model","authors":"Francis Muhire,&nbsp;Dickson Turyareeba,&nbsp;Anthony M Olyanga,&nbsp;Muyiwa S Adaramola","doi":"10.1016/j.rset.2025.100134","DOIUrl":"10.1016/j.rset.2025.100134","url":null,"abstract":"<div><div>The East African Community faces significant challenges in financing its Green Energy Transition (GET) despite its green energy potential to meet energy needs and climate commitments. To address this, this study evaluates the impact of green energy financial flows on GET in the EAC using a Dynamic Fixed Effects-Autoregressive Distributed Lag model on panel data from 2000 to 2022. Anchored in the PESTEL framework and the Techno-Economic, Socio-Technical, and Political Co-Evolution Theory, study findings reveal that green grants, the quality of environmental policies, the overall policy and institutional environment, and access to electricity are significant short- and long-run drivers of GET in the EAC. This research uniquely provides empirical evidence on the effects of green energy financial flows within a developing economic bloc, highlighting the co-evolutionary interplay among political, economic, socio-technical, and environmental factors. Additionally, it focuses specifically on green energy rather than renewable energy. The empirical results underscore the critical role of targeted financial incentives, robust regulatory and institutional frameworks, and expanded electricity access. Furthermore, observed cross-sectional dependency among EAC nations calls for cooperative regional policy initiatives. This study recommends diversifying financing sources, strengthening governance, and removing barriers to private and public engagement, which are crucial to a sustainable EAC energy future.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"9 ","pages":"Article 100134"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and modeling of an energy village for rural communities in Uganda","authors":"Hillary Kasedde ,&nbsp;Kasim Kumakech ,&nbsp;John Baptist Kirabira ,&nbsp;Christoph Pfeifer ,&nbsp;Rafat Al Afif","doi":"10.1016/j.rset.2026.100141","DOIUrl":"10.1016/j.rset.2026.100141","url":null,"abstract":"<div><div>Rural energy planning needs an integrated technical, economic, and social model for sustainability. In this work, a rural energy village concept was adopted. In this context, an energy village referred to a small town or community comprising of between 100 to 12000 households. Development of the energy village for the selected community of Bidibidi Refugee Camp involved characterization of the settlement for energy uses, potential and formulation of optimal energy supply option. From household surveys, a typical household in the settlement comprised of an average of 6 persons who depend predominantly on biomass (92%) to meet their key energy demand for cooking. Cooking accounted for 84% of the energy uses in the settlement. Total energy demand for cooking, electrical appliances and water pumping was 3,610 MWh/year with peak load of 410 kW, respectively. Renewable energy potential indicated average hourly wind speed of 2.6 m/s, average solar irradiation for an 8-hour sunshine hour of 0.7 kW/m² and biogas potential of 246 × 10⁶ m³/year. Considering the daily equivalence of the biogas potential, this can be used as fuel for the biogas generators to meet up to 39.7% of the total demand. Optimal generation capacity for solar and biogas systems obtained using MATLAB optimization modeling were 341.4 kW and 225.0 kW, respectively. The configured solar photovoltaic (PV) system had a rating of 0.40 kWp and three 75 kW rated biogas generators able to meet the load demand of the community. The total investment cost to realize this project was estimated as $ 1,185,805<strong>.</strong> Considering a subsidized tariff of 0.10 $/kWh and 0.15 $/kWh for systems operation at 100%, 75%, 50% and 30% capacities, payback period, Net Present Value (NPV) and Cost Benefit Ratio (CBR) were calculated. A positive NPV for 17 years project lifespan and CBR values greater than 1 showed economic feasibility of the project. More so, the average Levelized Cost of Energy (LCOE) was 0.04 $/kWh as compared to 0.34 $/kWh for bioenergy sources. This low LCOE value is advocated to the energy subsidy in the funding projection of the project and tariff over the entire project lifespan with an annual CO₂ saving of 68.4%. Therefore, harnessing the renewable energy sources from the community has the potential of ensuring attainment of energy independence as well as improving livelihoods and creating jobs for the people.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"9 ","pages":"Article 100141"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electricity demand mapping from open-source data for low- and middle-income countries","authors":"Ariane Millot ,&nbsp;Anđelka Kerekeš ,&nbsp;Alexandros Korkovelos ,&nbsp;Martin Stringer ,&nbsp;Adam Hawkes","doi":"10.1016/j.rset.2026.100138","DOIUrl":"10.1016/j.rset.2026.100138","url":null,"abstract":"<div><div>Spatially resolved energy systems modelling is increasingly used to provide more accurate insights into electrification planning and infrastructure development, yet spatially resolved electricity demand data is often unavailable in low- and middle-income countries (LMICs). This study presents a novel, open-source methodology to build a high-resolution electricity demand map covering the buildings and industry sectors, and applies it to Zambia as a case study. Our approach integrates publicly available GIS data, national surveys (DHS), and official statistics. For the buildings sector, machine learning is used to map residential demand and a top-down model for services; industrial demand is assessed with a separate bottom-up process model. Our bottom-up estimates are validated against national statistics, capturing 70 % of residential and 80 % of industrial demand before final scaling. The results reveal a stark geographic concentration of consumption, with the Lusaka and Copperbelt provinces alone accounting for nearly 60 % of building demand and the vast majority of industrial demand. This granular dataset can underpin the development of spatially explicit energy system models, facilitating informed decisions on grid infrastructure expansion, optimising electrification for off-grid areas, and supporting more equitable energy access in line with Sustainable Development Goals. The methodology is designed for replicability in other countries, offering a valuable tool for researchers and policymakers across other LMICs.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"9 ","pages":"Article 100138"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From policy to practice: Challenges and enablers of electric mobility in South Africa’s automotive industry","authors":"Freeman Mateko ,&nbsp;Tereza Němečková ,&nbsp;Nomalungelo Gina ,&nbsp;Dowelani Musimuni ,&nbsp;Noncedo Vutula","doi":"10.1016/j.rset.2026.100142","DOIUrl":"10.1016/j.rset.2026.100142","url":null,"abstract":"<div><div>This study examines the key challenges impeding South Africa’s transition to electric mobility and highlights potential enablers to support domestic electric vehicle production and sales. Guided by the technology-organisation-environment framework, the research used a mixed-methods approach, combining a literature review, content analysis of key documents, sectoral data analysis, and in-depth interviews with ten stakeholders across South African society. Findings indicate that, despite the 2023 release of the Electric Vehicle White Paper as a foundational policy framework, South Africa continues to lag in electric vehicle adoption. Major barriers include high purchase costs, an unreliable energy supply, insufficient charging infrastructure, and fiscal and trade-related constraints. Conversely, five enablers emerged as critical to accelerating adoption: (1) energy supply stabilisation, (2) targeted fiscal incentives, (3) charging infrastructure development, (4) cross-government coordination, and (5) clear, supportive policy frameworks. Collectively, these enablers are essential to advancing local electric vehicle manufacturing, enhancing affordability, and supporting a just and effective green transition. The study provides actionable insights for policymakers and industry stakeholders to strengthen South Africa’s path toward sustainable mobility.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"9 ","pages":"Article 100142"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization skill: How good is your energy management strategy really?","authors":"Carolina Baptista Crespo ,&nbsp;Rodrigo Amaro e Silva ,&nbsp;Miguel Centeno Brito","doi":"10.1016/j.rset.2025.100133","DOIUrl":"10.1016/j.rset.2025.100133","url":null,"abstract":"<div><div>This paper critically examines current evaluation practices for energy management strategies within buildings and microgrids, highlighting challenges in understanding the performance of individual models and in enabling fair comparisons across studies. To address these issues, two solutions are proposed. First, there should be a standardization of baseline models tailored to specific applications, ensuring fair evaluation and comparison. For residential battery systems, Self-Consumption Maximization (SCM) is identified as a strong candidate due to its simplicity and consistently good performance, within 8.4% of optimality, but suitable and consensual baselines must be found for other problems. Second, we propose a shift in model evaluation that positions each approach with respect to its baseline and optimal scenarios, enabling fairer inter-comparability between different works. To accomplish this, a novel metric, Optimization Skill (OS), is introduced, inspired by the Forecast Skill, which is standard in forecasting literature. OS provides a clearer perspective on model performance: for instance, while a traditional evaluation might report that a given strategy improves upon the baseline by 5.1%, the proposed framework first recognizes that the maximum possible improvement is only 5.6%, and then concludes that the model captures 90.4% of the available potential. A relevant caveat is that the applicability of OS is limited to cases where it is computationally feasible to determine the optimal solution via an optimization algorithm with perfect foresight.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"9 ","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global sensitivity analysis and scenario discovery reveal resilient water-energy system configurations on small islands under deep uncertainty","authors":"Marco Tangi,&nbsp;Alessandro Amaranto,&nbsp;Elisabetta Garofalo","doi":"10.1016/j.rset.2026.100139","DOIUrl":"10.1016/j.rset.2026.100139","url":null,"abstract":"<div><div>Deep uncertainties challenge sustainable water-energy systems, particularly in small islands where resource scarcity and isolation amplify vulnerability. Deterministic optimization approaches often fail to capture how the wide range of possible futures can affect system performance and design. This study applies a Decision Making under Deep Uncertainty framework integrating exploratory modeling, multi-energy system optimization, global sensitivity analysis and scenario discovery to assess how uncertainties shape optimal configurations. Using Lampedusa as a case study, we evaluate 25,000 scenarios varying population trajectories, fuel prices, desalination efficiency, and stakeholder preferences. Results show that annual costs and emissions fluctuate substantially depending on future conditions. Two dominant system archetypes emerge: renewable-powered desalination, selected over 90% of scenarios for its consistently favorable cost and emission performance, and water imports, attractive only under low ship emissions and strong environmental priorities. Sensitivity analysis identifies diesel efficiency, fuel price, population influx and desalination performance as the main driver on outcomes, while scenario discovery reveals the combinations of conditions triggering shifts between archetypes. Importantly, several uncertainties substantially affect costs and emissions but do not alter technology adoption, showing that system behavior can be highly sensitive without necessarily being structurally vulnerable. Rather than seeking a single robust design, the framework maps how uncertainty shapes system behavior and under which conditions current plans may face stress or require alternative strategies. While tailored to Lampedusa, the workflow is readily applicable to other small, resource-constrained islands, offering a structured way to explore uncertain futures and support more informed and adaptable water–energy planning.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"9 ","pages":"Article 100139"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Paving the way for sustainability transitions? Supportive potentials of university-related intermediaries in regional innovation systems","authors":"Simon J. Winkler-Portmann ,&nbsp;Daniel Hirschmann ,&nbsp;Daniel Feser","doi":"10.1016/j.rset.2025.100135","DOIUrl":"10.1016/j.rset.2025.100135","url":null,"abstract":"<div><div>Sustainability transitions research has identified intermediaries as central actors on driving change on landscape, regime and niche-level. To date, the role of higher education institution (HEI)-related intermediaries in supporting sustainability transitions is underexplored. We investigate in a qualitative case study four regional HEI-led innovation programs in Germany. This study set out to investigate how HEI-related intermediaries are involved in roles and activities that are predominantly attributed to systemic and regime-based transition intermediaries. Extending and adapting activities, we find HEI-related intermediaries are pivotal in advancing sustainability transitions: First, by performing roles and activities of transition intermediaries, they foster and mobilize potentials of regional innovation systems and thereby indirectly improving preconditions to enable change processes. Second, they directly induce impulses introducing concrete strategies and projects by fostering inclusive co-creation among diverse regional stakeholders. Therefore, we argue that regional-level HEI-related intermediation should be considered in the design and implementation of innovation policies driving sustainability transitions.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"9 ","pages":"Article 100135"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The hybrid renewable energy community approach (HyRECA): Synergising electricity access with bush encroachment mitigation in rural Southern Africa","authors":"Stuart Daniel James ,&nbsp;Markus Killinger ,&nbsp;Chiedza Ngonidzashe Mutanga ,&nbsp;Romain Pirard ,&nbsp;Mario Einax ,&nbsp;Matthias Huber ,&nbsp;Tobias Bader","doi":"10.1016/j.rset.2025.100136","DOIUrl":"10.1016/j.rset.2025.100136","url":null,"abstract":"<div><div>Rural electrification and bush encroachment in Southern Africa have long been studied separately. Research shows that hybrid renewable energy systems (HRES) offer viable solutions for off-grid communities, and bush encroachment mitigation is widely recognised as an ecological priority. Using Jamataka, Botswana, as a case study, this study integrates both, asking under which conditions encroacher bush-based HRES are economically viable, which electricity access levels local populations can afford, and whether biomass utilisation contributes to mitigation. Findings indicate strong potential for bush-based HRES in off-grid areas, but competitiveness declines where low-cost grid electricity is available. Economic viability is examined through levelised cost of electricity (LCOE) across alternative HRES configurations. HOMER Pro® simulations indicate PV/biomass/battery systems are most cost-effective off-grid, achieving 100 % renewable fractions, near zero CO₂ emissions, and LCOE of 0.246 $/kWh. In grid-connected contexts without feed-in, PV/diesel/grid combinations dominate (LCOE 0.117 $/kWh) due to low tariffs, but with higher emissions. A novel affordability analysis using household willingness to pay and the World Bank Multi-Tier Framework indicates that all households reach at least Tier 3 electricity access under grid-connected systems and &gt;70 % off-grid, supporting household-use of medium-power appliances. Sustainable biomass extraction clears ∼12 ha annually (∼120 t) in Jamataka, aiding bush encroachment mitigation. Upscaling indicates potential to electrify 1.35 million people in &gt;900 bush-encroached villages across Botswana, Namibia, and South Africa, using &lt;1 % of encroached land – highlighting significant untapped potential. Future research should validate findings through geospatial modelling with high-resolution biomass data and spatially sensitive biomass cost models for region-wide planning.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"9 ","pages":"Article 100136"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reduction of magnetite for carbon capture in chemical-looping combustion","authors":"Wei-Hsin Chen ,&nbsp;Aristotle T. Ubando ,&nbsp;John Patrick Mercado","doi":"10.1016/j.rset.2026.100137","DOIUrl":"10.1016/j.rset.2026.100137","url":null,"abstract":"<div><div>Chemical looping combustion (CLC) is considered an energy-efficient technology compared to conventional combustion systems. Magnetite is a prevalent type of iron ore that can serve as an oxygen carrier, especially in the relatively higher reduction temperature range. To further enhance the sustainability and efficiency of the CLC, this study investigates the reduction of magnetite with graphite as a reducing agent. Limited studies have explored the reduction of magnetite. Thermogravimetric analysis (TGA) and derivative thermogravimetry (DTG) were employed to characterize the reduction behavior of magnetite and graphite mixtures at 1:1 and 2:1 ratios. The results indicated significant reduction rates at 1093 °C and 1110 °C, respectively. Comparative analysis of theoretical and experimental TGA curves quantified the extent of reduction, which then translates to an increased reduction at a relatively higher temperature range. Fourier-transform infrared spectroscopy (FTIR) results revealed the evolution of carbon monoxide CO and CO₂ gases. This indicates a combination of direct and indirect reduction mechanisms with char gasification. The earlier onset of reduction in the 1:1 ratio suggested a higher availability of reducing agents. The study validates that the reduction of magnetite with graphite produces a reduced iron product compatible as an oxygen carrier in CLC systems. By utilizing magnetite as an oxygen carrier, the process offers a pathway to capture CO₂, thus contributing to the sustainable production of energy. The results of this study are significant for further research into reducing magnetite for sustainable iron production and its potential integration into advanced combustion technologies.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"9 ","pages":"Article 100137"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping and analysis of local potential for new and renewable energy and its conversion technology in Aceh-Indonesia","authors":"Munawir ,&nbsp;Mahidin ,&nbsp;Yuwaldi Away ,&nbsp;Azwar ,&nbsp;Wan Izhan Nawawi Wan Ismail","doi":"10.1016/j.rset.2025.100126","DOIUrl":"10.1016/j.rset.2025.100126","url":null,"abstract":"<div><div>Aceh Province, Indonesia, possesses substantial potential in new and renewable energy (NRE) sources that can support a sustainable and low-carbon energy transition. This study integrates Geographic Information System (GIS) mapping, SWOT analysis, and HOMER Pro simulations to assess technical feasibility, economic viability, and strategic enablers and barriers for implementing biomass, hydro, solar, and wind energy technologies. Results indicate that Aceh's biomass resources, primarily from palm oil waste, could generate up to 1.5 GW, with 500 MW deemed economically viable. Micro-hydro potential is estimated at 200 MW, supported by year-round river flow consistency. Solar energy resources show an average radiation of 4.8–5.2 kWh/m²/day, and coastal wind speeds average 5 m/s, suitable for small-scale installations. Simulation results reveal that renewable energy-based hybrid systems in rural Aceh could achieve a levelized cost of energy (LCOE) as low as $0.09/kWh and reduce grid dependency by over 60 %. If planned projects are implemented, the estimated greenhouse gas (GHG) emission reduction potential exceeds 1.2 million tons of CO₂ annually. However, key challenges remain, including inadequate infrastructure, limited investment, and fragmented regulatory support. This study recommends increasing green financing, streamlining permitting processes, and enhancing energy storage infrastructure. The findings offer a strategic roadmap for leveraging Aceh’s renewable resources, contributing to Indonesia’s 23 % renewable energy target by 2025 and serving as a model for other regions with similar energy profiles.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"8 ","pages":"Article 100126"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145361504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}