Pub Date : 2026-02-01Epub Date: 2026-02-02DOI: 10.1016/j.seta.2025.104749
AbuBakr S. Bahaj, Mostafa Mahdy
Global wind energy electrical power generation is expanding exponentially. It is a fundamental building block for decarbonising the energy supply to achieve net-zero carbon targets, as well as the sustainable development goals. Hence, quantifying the power generation from wind resources is of global interest. This research addresses the latter, focusing on the offshore wind potential for the African continent. A methodology based on the representative cost ratio (RCR) combined with fuzzy multi-criteria decision-making analysis, using appropriately selected criteria (wind speed, water depth, proximity to grid, etc), was used to arrive at the potential for offshore wind in Africa. The method was validated by predicting the large offshore wind development in China and the UK. The most suitable locations for offshore wind energy around Africa were identified. The results showed that the shallow water offshore wind potential is limited (∼85 GW), restricting it to the use of depth-restrained seabed-fixed turbines. At greater depths, the wind resource can result in over 6665 GW of installed capacity, promoting exploitation through floating offshore wind turbine technologies. Such a continental-scale deployment will address energy access, create growth and employment, whilst reducing Africa’s dependence on fossil fuel imports.
{"title":"Quantifying Africa’s offshore wind energy potential using Multi-Criteria Decision Assessment","authors":"AbuBakr S. Bahaj, Mostafa Mahdy","doi":"10.1016/j.seta.2025.104749","DOIUrl":"10.1016/j.seta.2025.104749","url":null,"abstract":"<div><div>Global wind energy electrical power generation is expanding exponentially. It is a fundamental building block for decarbonising the energy supply to achieve net-zero carbon targets, as well as the sustainable development goals. Hence, quantifying the power generation from wind resources is of global interest. This research addresses the latter, focusing on the offshore wind potential for the African continent. A methodology based on the representative cost ratio (RCR) combined with fuzzy multi-criteria decision-making analysis, using appropriately selected criteria (wind speed, water depth, proximity to grid, etc), was used to arrive at the potential for offshore wind in Africa. The method was validated by predicting the large offshore wind development in China and the UK. The most suitable locations for offshore wind energy around Africa were identified. The results showed that the shallow water offshore wind potential is limited (∼85 GW), restricting it to the use of depth-restrained seabed-fixed turbines. At greater depths, the wind resource can result in over 6665 GW of installed capacity, promoting exploitation through floating offshore wind turbine technologies. Such a continental-scale deployment will address energy access, create growth and employment, whilst reducing Africa’s dependence on fossil fuel imports.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"86 ","pages":"Article 104749"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174039","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}
Pub Date : 2026-02-01Epub Date: 2026-01-22DOI: 10.1016/j.seta.2026.104839
Putta Venu Gopal , P.V. Elumalai , A. Saravanan
Growing clean energy and freshwater needs have driven attention toward hybrid PV/T systems with combined electrical and thermal output. Solar concentrators are widely used in PV/T systems to increase energy production by directing incident solar radiation onto the receiver. The performance of a concentrator integrated with PV/T systems is mainly dependent on the concentrator type, concentration ratio, cooling technique, tracking and application type. This review is an in-depth assessment of the application-based non-imaging and imaging solar concentrators integrated with hybrid PV/T systems. The non-imaging concentrators consist of V-troughs, compound parabolic concentrators (CPCs), and asymmetric CPCs are reviewed for low and medium-temperature applications such as water heating, solar drying, space heating, and domestic-scale desalination systems. Imaging concentrators such as Fresnel lenses and parabolic trough collectors are used in high-temperature and large-scale applications. In addition, the review highlights key challenges such as non-uniform flux distribution and hotspot formation and overcoming strategies using optical homogenizers, secondary reflectors, bifacial receivers, and different cooling methods. The study compares different types of passive and active cooling methods, along with tracking technologies, based on concentration level and system requirements. The study concluded with a clear road map for selecting suitable concentrator-cooling tracking combinations for specific applications.
{"title":"Comparative review of imaging and non-imaging solar concentrators for hybrid photovoltaic–thermal applications","authors":"Putta Venu Gopal , P.V. Elumalai , A. Saravanan","doi":"10.1016/j.seta.2026.104839","DOIUrl":"10.1016/j.seta.2026.104839","url":null,"abstract":"<div><div>Growing clean energy and freshwater needs have driven attention toward hybrid PV/T systems with combined electrical and thermal output. Solar concentrators are widely used in PV/T systems to increase energy production by directing incident solar radiation onto the receiver. The performance of a concentrator integrated with PV/T systems is mainly dependent on the concentrator type, concentration ratio, cooling technique, tracking and application type. This review is an in-depth assessment of the application-based non-imaging and imaging solar concentrators integrated with hybrid PV/T systems. The non-imaging concentrators consist of V-troughs, compound parabolic concentrators (CPCs), and asymmetric CPCs are reviewed for low and medium-temperature applications such as water heating, solar drying, space heating, and domestic-scale desalination systems. Imaging concentrators such as Fresnel lenses and parabolic trough collectors are used in high-temperature and large-scale applications. In addition, the review highlights key challenges such as non-uniform flux distribution and hotspot formation and overcoming strategies using optical homogenizers, secondary reflectors, bifacial receivers, and different cooling methods. The study compares different types of passive and active cooling methods, along with tracking technologies, based on concentration level and system requirements. The study concluded with a clear road map for selecting suitable concentrator-cooling tracking combinations for specific applications.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"86 ","pages":"Article 104839"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025141","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}
Pub Date : 2026-02-01Epub Date: 2026-01-16DOI: 10.1016/j.seta.2026.104826
Soumyajit Chandra , Luhur Akbar Devianto , Soumya Pandit , Dipak A. Jadhav , Bhim Sen Thapa
Agro-food waste, such as banana peel waste, is rich in lignocellulosic biomass and has the potential for sustainable bioenergy recovery. This study established a two-stage process combining dark fermentation (DF) and microbial fuel cells (MFCs) to improve energy yield and evaluate environmental performance. A cellulase-producing Bacillus sp. isolated from cow dung was employed for the biological pretreatment of heat- and acid-treated banana peels to facilitate the efficient hydrolysis of cellulose and hemicellulose. The pretreated biomass facilitated DF, producing 3.1 L/L of biohydrogen, which was modeled well by the Modified Gompertz model. The volatile fatty acid–enriched effluent was then used in single-chamber MFCs, producing maximum power densities of 12.02 W/m3 (banana peel substrate) and 11.18 W/m3 (spent DF media). Furthermore, cradle-to-gate life cycle assessment (LCA) conducted using GaBi software reflected low environmental impact, with a global warming potential of 0.1 kg CO2-eq and minimal effects in acidification, eutrophication, and ozone depletion categories. This study innovates the valorization of banana peel waste using a DF–MFC system combined with LCA, as it proves to be an effective, scalable, and environmentally friendly waste-to-energy approach.
农业粮食废弃物，如香蕉皮废弃物，富含木质纤维素生物质，具有可持续生物能源回收的潜力。本研究建立了暗发酵（DF）与微生物燃料电池（mfc）相结合的两阶段工艺，以提高能量产量并评估环境绩效。从牛粪中分离出一种产纤维素酶的芽孢杆菌，对热酸处理香蕉皮进行生物预处理，促进纤维素和半纤维素的高效水解。预处理后的生物质有利于DF，产生3.1 L/L的生物氢，修正的Gompertz模型可以很好地模拟这一过程。然后将富含挥发性脂肪酸的废水用于单室mfc，产生的最大功率密度为12.02 W/m3（香蕉皮基质）和11.18 W/m3（废DF介质）。此外，使用GaBi软件进行的从摇篮到大门生命周期评估（LCA）反映出低环境影响，全球变暖潜势为0.1 kg co2当量，酸化、富营养化和臭氧消耗类别的影响最小。本研究将DF-MFC系统与LCA相结合，创新了香蕉皮废物的增值处理，因为它被证明是一种有效的、可扩展的、环保的废物能源转化方法。
{"title":"Valorization of banana peel waste through coupled dark fermentation and microbial fuel cells: bioenergy production and life cycle assessment","authors":"Soumyajit Chandra , Luhur Akbar Devianto , Soumya Pandit , Dipak A. Jadhav , Bhim Sen Thapa","doi":"10.1016/j.seta.2026.104826","DOIUrl":"10.1016/j.seta.2026.104826","url":null,"abstract":"<div><div>Agro-food waste, such as banana peel waste, is rich in lignocellulosic biomass and has the potential for sustainable bioenergy recovery. This study established a two-stage process combining dark fermentation (DF) and microbial fuel cells (MFCs) to improve energy yield and evaluate environmental performance. A cellulase-producing <em>Bacillus</em> sp. isolated from cow dung was employed for the biological pretreatment of heat- and acid-treated banana peels to facilitate the efficient hydrolysis of cellulose and hemicellulose. The pretreated biomass facilitated DF, producing 3.1 L/L of biohydrogen, which was modeled well by the Modified Gompertz model. The volatile fatty acid–enriched effluent was then used in single-chamber MFCs, producing maximum power densities of 12.02 W/m<sup>3</sup> (banana peel substrate) and 11.18 W/m<sup>3</sup> (spent DF media). Furthermore, cradle-to-gate life cycle assessment (LCA) conducted using GaBi software reflected low environmental impact, with a global warming potential of 0.1 kg CO<sub>2</sub>-eq and minimal effects in acidification, eutrophication, and ozone depletion categories. This study innovates the valorization of banana peel waste using a DF–MFC system combined with LCA, as it proves to be an effective, scalable, and environmentally friendly waste-to-energy approach.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"86 ","pages":"Article 104826"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145969130","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}
Pub Date : 2026-02-01Epub Date: 2026-01-28DOI: 10.1016/j.seta.2026.104854
Boyu Wang , Wan Li , Zhenhong Lin , Yuntao Yue
The rapid emergence of electric vertical takeoff and landing (eVTOL) air taxis presents both opportunities and challenges for sustainable urban energy systems. This study develops the Nationwide Energy Estimation for Air Taxis (NEAT) model, an integrated agent-based simulation framework that couples behavioral mode choice with detailed energy estimation to assess the large-scale effects of air taxi deployment in 15 of the most congested U.S. cities. Results indicate that shifting a portion of travelers to eVTOLs during peak periods can reduce on-road energy use by 3.35% on interstate highways and 6.92% on arterial roads nationwide, while alleviating traffic congestion and improving fuel economy for remaining vehicles. By capturing direct energy consumption of air taxis alongside systemic road-network effects, this study provides a robust technology assessment of eVTOL integration at city and national scales. The findings highlight the potential of aerial mobility to contribute to sustainable energy transitions.
{"title":"Nationwide assessment of energy efficiency gains from electric air taxi integration in U.S. cities","authors":"Boyu Wang , Wan Li , Zhenhong Lin , Yuntao Yue","doi":"10.1016/j.seta.2026.104854","DOIUrl":"10.1016/j.seta.2026.104854","url":null,"abstract":"<div><div>The rapid emergence of electric vertical takeoff and landing (eVTOL) air taxis presents both opportunities and challenges for sustainable urban energy systems. This study develops the Nationwide Energy Estimation for Air Taxis (NEAT) model, an integrated agent-based simulation framework that couples behavioral mode choice with detailed energy estimation to assess the large-scale effects of air taxi deployment in 15 of the most congested U.S. cities. Results indicate that shifting a portion of travelers to eVTOLs during peak periods can reduce on-road energy use by 3.35% on interstate highways and 6.92% on arterial roads nationwide, while alleviating traffic congestion and improving fuel economy for remaining vehicles. By capturing direct energy consumption of air taxis alongside systemic road-network effects, this study provides a robust technology assessment of eVTOL integration at city and national scales. The findings highlight the potential of aerial mobility to contribute to sustainable energy transitions.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"86 ","pages":"Article 104854"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079909","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}
Pub Date : 2026-02-01Epub Date: 2026-01-26DOI: 10.1016/j.seta.2026.104815
Yang Tian , Kaikai Mao , Juan Yang , Langxuan Pan
Energy structure transformation of power generation enterprises is the key to achieving power low-carbon transformation. Renewable portfolio standard (RPS) is widely used to promote energy structure transformation. However, the mechanisms by which RPS affect energy structure transformation, and the optimal design of RPS have not been thoroughly explored yet. To address this gap, this study aims to explore the regulatory effects of fixed quotas and dynamic quotas on the energy structure transformation of power generation enterprises. Results indicate that both types of quotas can effectively promote the energy structure transformation of power generation enterprises with low proportion of renewable energy electricity. However, for power generation enterprises with high proportion of renewable energy electricity, fixed quotas may lose incremental effectiveness, and dynamic quotas may alleviate this specific effect. The research results provide policy implications for optimizing RPS policy and promoting enterprise energy transformation.
{"title":"Research on the effectiveness of renewable portfolio standard policy in promoting energy structure transformation of power generation enterprises","authors":"Yang Tian , Kaikai Mao , Juan Yang , Langxuan Pan","doi":"10.1016/j.seta.2026.104815","DOIUrl":"10.1016/j.seta.2026.104815","url":null,"abstract":"<div><div>Energy structure transformation of power generation enterprises is the key to achieving power low-carbon transformation. Renewable portfolio standard (RPS) is widely used to promote energy structure transformation. However, the mechanisms by which RPS affect energy structure transformation, and the optimal design of RPS have not been thoroughly explored yet. To address this gap, this study aims to explore the regulatory effects of fixed quotas and dynamic quotas on the energy structure transformation of power generation enterprises. Results indicate that both types of quotas can effectively promote the energy structure transformation of power generation enterprises with low proportion of renewable energy electricity. However, for power generation enterprises with high proportion of renewable energy electricity, fixed quotas may lose incremental effectiveness, and dynamic quotas may alleviate this specific effect. The research results provide policy implications for optimizing RPS policy and promoting enterprise energy transformation.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"86 ","pages":"Article 104815"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079920","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}
Pub Date : 2026-02-01Epub Date: 2026-01-30DOI: 10.1016/j.seta.2026.104845
Peize Wu , Yingying Liu , Lantian Zhang , Sha Chen , Sumei Li , Hanbing Li , Ji Gao , Kejun Jiang
The regional energy transition under the goal of carbon neutrality confronts both constraints of energy water scarcities, with energy-water nexus critically shaping sustainable pathways. Climate change impacts must also be assessed when analyzing water resource constraints. This study established a method for evaluating energy-water synergy technologies in regional transition scenarios based on prospective life cycle assessment (PLCA), which used the data from Low Emissions Analysis Platform (LEAP) scenario inventories linked with LCI parameters. Subsequently, this method was applied to evaluate five environmental impacts (ADP, EP, FAETP, GWP, TFU) of Polycrystalline silicon photovoltaic power generation technology, Onshore wind power generation technology, and Coal-fired power generation deployed nine different carbon capture technologies in Shaanxi Province from 2020 to 2060. The results showed that Onshore wind power generation technology exhibited minimal environmental impacts (EIs) in 2020, while deploying post-combustion membrane carbon capture will greatly reduce the impacts of coal-fired power generation. Renewable energy impacts are concentrated in material production, while over 90% of carbon capture system impacts occur during operation. Except for Onshore wind power generation technology, other energy-water synergy technologies reducing more than 20% EIs, driven by decarbonized material production for renewables and optimized adsorption efficiency in carbon capture systems. Considering the constraints and technological maturity of different development stages, Shaanxi should prioritize wind and photovoltaic power generation expansion before 2030, scale solar-wind hybrid systems during 2030–2060, and deploy physical adsorption-based post-combustion technologies for coal-fired power generation. This study provided decision support for similar regions choosing energy-water synergy technologies under energy transition.
{"title":"Dynamic analysis of energy -water synergy technologies for regional power generation with prospective LCA towards carbon neutrality","authors":"Peize Wu , Yingying Liu , Lantian Zhang , Sha Chen , Sumei Li , Hanbing Li , Ji Gao , Kejun Jiang","doi":"10.1016/j.seta.2026.104845","DOIUrl":"10.1016/j.seta.2026.104845","url":null,"abstract":"<div><div>The regional energy transition under the goal of carbon neutrality confronts both constraints of energy water scarcities, with energy-water nexus critically shaping sustainable pathways. Climate change impacts must also be assessed when analyzing water resource constraints. This study established a method for evaluating energy-water synergy technologies in regional transition scenarios based on prospective life cycle assessment (PLCA), which used the data from Low Emissions Analysis Platform (LEAP) scenario inventories linked with LCI parameters. Subsequently, this method was applied to evaluate five environmental impacts (ADP, EP, FAETP, GWP, TFU) of Polycrystalline silicon photovoltaic power generation technology, Onshore wind power generation technology, and Coal-fired power generation deployed nine different carbon capture technologies in Shaanxi Province from 2020 to 2060. The results showed that Onshore wind power generation technology exhibited minimal environmental impacts (EIs) in 2020, while deploying post-combustion membrane carbon capture will greatly reduce the impacts of coal-fired power generation. Renewable energy impacts are concentrated in material production, while over 90% of carbon capture system impacts occur during operation. Except for Onshore wind power generation technology, other energy-water synergy technologies reducing more than 20% EIs, driven by decarbonized material production for renewables and optimized adsorption efficiency in carbon capture systems. Considering the constraints and technological maturity of different development stages, Shaanxi should prioritize wind and photovoltaic power generation expansion before 2030, scale solar-wind hybrid systems during 2030–2060, and deploy physical adsorption-based post-combustion technologies for coal-fired power generation. This study provided decision support for similar regions choosing energy-water synergy technologies under energy transition.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"86 ","pages":"Article 104845"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080011","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}
Pub Date : 2026-02-01Epub Date: 2026-01-30DOI: 10.1016/j.seta.2026.104861
Sunila Arshid Mohammed Kassim, Di Zhang
Reliable and scalable photovoltaic (PV) fault monitoring ensures high energy efficiency and low operational costs of large-scale solar farms. This paper proposes a new two-step deep learning-based architecture which combines the attention-based YOLOv12 detector with a small custom CNN to classify fine-grained PV defects. In contrast to the current single stage designs, the proposed design does not depend on fault localization and severity to classify faults. This enhances the ability of the design to resist small and visually insignificant faults like micro-cracks, dust, and hotspots without compromising edge placement capability. It is shown that the framework has good generalization and practical viability as indicated by the cross-dataset evaluation, ablation studies, and edge-device benchmarking. Experimental evidence demonstrates that it has high detection rates with an [email protected] of 98.7%, recall of 98.8%, and real time inference on embedded devices.
{"title":"Smart solar panel diagnostics: Integrating YOLOv12 with custom CNN for fault detection and classification","authors":"Sunila Arshid Mohammed Kassim, Di Zhang","doi":"10.1016/j.seta.2026.104861","DOIUrl":"10.1016/j.seta.2026.104861","url":null,"abstract":"<div><div>Reliable and scalable photovoltaic (PV) fault monitoring ensures high energy efficiency and low operational costs of large-scale solar farms. This paper proposes a new two-step deep learning-based architecture which combines the attention-based YOLOv12 detector with a small custom CNN to classify fine-grained PV defects. In contrast to the current single stage designs, the proposed design does not depend on fault localization and severity to classify faults. This enhances the ability of the design to resist small and visually insignificant faults like micro-cracks, dust, and hotspots without compromising edge placement capability. It is shown that the framework has good generalization and practical viability as indicated by the cross-dataset evaluation, ablation studies, and edge-device benchmarking. Experimental evidence demonstrates that it has high detection rates with an [email protected] of 98.7%, recall of 98.8%, and real time inference on embedded devices.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"86 ","pages":"Article 104861"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080010","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}
Pub Date : 2026-02-01Epub Date: 2026-01-30DOI: 10.1016/j.seta.2026.104846
Soumyajit Chandra , Luhur Akbar Devianto , Soumya Pandit , Dipak A. Jadhav , Bhim Sen Thapa
{"title":"Corrigendum to “Valorization of banana peel waste through coupled dark fermentation and microbial fuel cells: bioenergy production and life cycle assessment” [Sustain. Energy Technol. Assess. 86 (2026) 104826]","authors":"Soumyajit Chandra , Luhur Akbar Devianto , Soumya Pandit , Dipak A. Jadhav , Bhim Sen Thapa","doi":"10.1016/j.seta.2026.104846","DOIUrl":"10.1016/j.seta.2026.104846","url":null,"abstract":"","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"86 ","pages":"Article 104846"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147398725","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}
Pub Date : 2026-02-01Epub Date: 2026-01-24DOI: 10.1016/j.seta.2025.104799
Mohammed N. Ajour , Osama K. Nusier , Mohammed J. Abduaal , Fahd A. Hariri
{"title":"Retraction notice to “Utilizing innovative proportional-integral-derivative controllers to reduce solar air conditioning system energy demand” [Sustain. Energy Technol. Assess. 52(Part C) (2022) 102233]","authors":"Mohammed N. Ajour , Osama K. Nusier , Mohammed J. Abduaal , Fahd A. Hariri","doi":"10.1016/j.seta.2025.104799","DOIUrl":"10.1016/j.seta.2025.104799","url":null,"abstract":"","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"86 ","pages":"Article 104799"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147398727","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}
Pub Date : 2026-02-01Epub Date: 2026-01-29DOI: 10.1016/j.seta.2026.104844
Janusz Malesa, Błażej Chmielarz, Dominik Muszyński, Maciej Skrzypek
The transition to sustainable energy systems requires advanced nuclear technologies capable of providing high-temperature heat and hydrogen for industrial applications. High Temperature Gas-cooled Reactors (HTGRs) have emerged as a promising option for cogeneration, enabling flexible deployment across multiple scales and sectors. This study explores the potential path from technology demonstration to commercialisation of HTGRs, with particular emphasis on their application to industrial cogeneration. The paper describes the design philosophy and target applications, highlighting end-user requirements and technical configurations for both HTGR-POLA and the GEMINI+ reactor design. Safety aspects are examined to assess inherent and engineered features supporting deployment. A techno-economic evaluation, based on defined assumptions and modelling approaches, provides insights into cost, performance, and competitiveness relative to alternative energy systems. The findings demonstrate that HTGR-based cogeneration can meet diverse industrial needs while contributing to decarbonisation goals. However, successful commercialisation requires a stepwise approach from pilot-scale demonstrations to market entry, supported by favourable policies, regulatory alignment, and stakeholder engagement.
{"title":"Potential path from demonstration to commercialisation of high temperature gas-cooled reactors for cogeneration of heat and hydrogen","authors":"Janusz Malesa, Błażej Chmielarz, Dominik Muszyński, Maciej Skrzypek","doi":"10.1016/j.seta.2026.104844","DOIUrl":"10.1016/j.seta.2026.104844","url":null,"abstract":"<div><div>The transition to sustainable energy systems requires advanced nuclear technologies capable of providing high-temperature heat and hydrogen for industrial applications. High Temperature Gas-cooled Reactors (HTGRs) have emerged as a promising option for cogeneration, enabling flexible deployment across multiple scales and sectors. This study explores the potential path from technology demonstration to commercialisation of HTGRs, with particular emphasis on their application to industrial cogeneration. The paper describes the design philosophy and target applications, highlighting end-user requirements and technical configurations for both HTGR-POLA and the GEMINI+ reactor design. Safety aspects are examined to assess inherent and engineered features supporting deployment. A techno-economic evaluation, based on defined assumptions and modelling approaches, provides insights into cost, performance, and competitiveness relative to alternative energy systems. The findings demonstrate that HTGR-based cogeneration can meet diverse industrial needs while contributing to decarbonisation goals. However, successful commercialisation requires a stepwise approach from pilot-scale demonstrations to market entry, supported by favourable policies, regulatory alignment, and stakeholder engagement.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"86 ","pages":"Article 104844"},"PeriodicalIF":7.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079924","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}
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