Sustainable Energy Technologies and Assessments最新文献

{"title":"A hybrid WOA-KDE and mixed copula framework for directional wind assessment in complex terrain","authors":"Weijia Wang ,&nbsp;Fubin Chen ,&nbsp;Yi Li ,&nbsp;Lanxi Weng","doi":"10.1016/j.seta.2025.104590","DOIUrl":"10.1016/j.seta.2025.104590","url":null,"abstract":"<div><div>Accurate wind energy assessment in complex terrain remains a significant challenge due to the difficulty of reliably modeling the bivariate probabilistic relationship between wind speed and direction. To address such concern, this study proposes a novel hybrid framework that integrates advanced marginal and joint distribution modeling techniques. Wind speed is modeled using Kernel Density Estimation (KDE), optimized through the Whale Optimization Algorithm (WOA), resulting in superior performance over conventional parametric approaches. For wind direction, the Von Mises distribution is employed, demonstrating a 2–13 % improvement (measured by R²) in goodness-of- fit compared to traditional harmonic models. These optimized marginal distributions are then coupled via a mixed copula constructed as a linear combination of Gumbel, Clayton, and Frank copulas. The resulting joint probability density function (JPDF) exhibits significantly enhanced performance, achieving a comprehensive evaluation metric of 4.92 and outperforming five widely used single copulas, as well as the Angular-Linear (AL) and multiplication models. The mixed copula approach yields a 5–20% improvement (measured by composite metric) in JPDF accuracy compared to these classic models, producing more realistic and reliable estimates of wind characteristics. The validated model is applied to conduct a comprehensive directional wind energy assessment, offering a high-resolution analytical tool for wind energy applications.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104590"},"PeriodicalIF":7.0,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222254","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":"Environmental and sustainability assessment of China’s transportation sector: The impact of Li-ion batteries on the transition to electric mobility","authors":"Yanxin Liu ,&nbsp;Zhensong Chen ,&nbsp;Patrizia Ghisellini ,&nbsp;Sergio Ulgiati","doi":"10.1016/j.seta.2025.104603","DOIUrl":"10.1016/j.seta.2025.104603","url":null,"abstract":"<div><div>Li-ion batteries are crucial to advance electric mobility and achieve carbon–neutral goals for social development. Their use coupled to renewable energy may play a huge role in accelerating the transition to electrification and cleaner global transport sectors. This study proposes an innovative ecological accounting framework, investigates the Li-ion battery industry chain based on Life Cycle Assessment (LCA) and Emergy Accounting (EmA), evaluates the sustainability of China’s transportation sector by simulating different scenarios of Li-ion batteries application. Results show that: (1)Terrestrial ecotoxicity is the most significant impact category for Li-ion battery industry chain, which calls for research efforts for better battery technologies; anode production causes the highest environmental pressure in the whole life cycle of Li-ion battery. (2) If all Chinese vehicles were replaced by electric vehicles, built and driven by renewable electricity, the demand for environmental support (emergy) would be reduced 50 %. (3)if individual mobility vehicles were increasingly replaced by mass transportation devices (buses, metro, trains) connected to the electric grid, the improvement would be even higher and significant. The research aims at promoting renewable energy use and technologies in the mobility system, to overcome the conventional dependence on fossil fuels use in combustion engine vehicles.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104603"},"PeriodicalIF":7.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222245","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":"Energy potential of cogeneration, sustainability, and environmental impacts of sugarcane biomass in the Nova Alta Paulista region","authors":"Edson Luis Geraldi Junior ,&nbsp;Mario Mollo Neto","doi":"10.1016/j.seta.2025.104606","DOIUrl":"10.1016/j.seta.2025.104606","url":null,"abstract":"<div><div>This study evaluates the potential for electricity generation from sugarcane biomass in the Nova Alta Paulista region, focusing on energy and environmental sustainability. The methodology is based on the analysis of secondary data to estimate electricity production, carbon sequestration, CO₂ emissions, and water resource consumption in the mills of the region between 2009 and 2023. The results indicate that the bioelectricity generated by these mills contributes significantly to the local energy matrix, with an average annual potential exceeding 0.8 TWh. Analysis of different scenarios reveals that net CO₂ absorption by sugarcane plantations surpasses the emissions from the mills, reinforcing the role of the sugar–energy sector in mitigating climate change. Additionally, the estimated water consumption in industrial processes aligns with current environmental guidelines, varying according to the efficiency of each mill. The study highlights the importance of modernizing the mills and adopting technologies that maximize energy efficiency while minimizing water consumption. The developed methodology proves to be replicable for other regions of São Paulo and Brazil, relying on reliable national data sources. Thus, the cogeneration of electricity from sugarcane biomass is established as a sustainable solution for energy security and environmental sustainability in the Nova Alta Paulista region.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104606"},"PeriodicalIF":7.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222247","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":"Identifying and overcoming barriers to large-scale biogas dissemination in India through stakeholder-led SWOT analysis","authors":"Pankaj Garkoti,&nbsp;Sonal K. Thengane","doi":"10.1016/j.seta.2025.104610","DOIUrl":"10.1016/j.seta.2025.104610","url":null,"abstract":"<div><div>Despite numerous government initiatives and policies, the dissemination of large-scale biogas plants remains slow in India. A social impact assessment is performed to identify strengths, weaknesses, opportunities, and threats (SWOT) of large-scale biogas plants. Common strengths of biogas plants reported by owners, technical experts, and end users are efficient waste management, renewable energy production, biofertilizer generation, and reduced pollution and health risks. Social communities are found to be the least aware of biogas plant’s strengths. For biogas plant owners, high capital costs, gas grid networks, and academic collaboration represent key weakness, threat, and opportunity, respectively. For technical experts, lack of skilled workers, feedstock quality and cost, and carbon trading represent key weakness, threat, and opportunity. For end users, lack of awareness, CBG purity, and employment creation represent key weakness, threat, and opportunity. The weaknesses and threats act as market barriers and are categorized into four types. Economic barriers are the most significant, followed by political, technical, and social barriers. Most critical barriers are the nonexistent digestate market and access to the CBG gas grid, followed by the high capital and operating costs. Finally, short- and long-term recommendations are provided to different stakeholders to improve dissemination of biogas plants in India.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104610"},"PeriodicalIF":7.0,"publicationDate":"2025-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222246","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":"Study on the enhancement of photothermal performance of ZrC-based nanofluids by doping with metal oxides","authors":"Yongfu Guo ,&nbsp;Xiaohui Zhang ,&nbsp;Shuyuan Lei ,&nbsp;Can Xiong ,&nbsp;Ming Ma ,&nbsp;Shan Qing ,&nbsp;Rong Chen ,&nbsp;Hua Wang","doi":"10.1016/j.seta.2025.104609","DOIUrl":"10.1016/j.seta.2025.104609","url":null,"abstract":"<div><div>In the face of growing global energy demand, efficient solar thermal conversion technology is crucial. However, the development of ideal absorbers that closely match the solar spectrum remains challenging. DASC are expected to break through the efficiency bottleneck of traditional collectors by directly absorbing heat through nanofluids. Accordingly, this study investigates the photothermal performance of nanofluids by leveraging the broadband absorption characteristics of zirconium carbide (ZrC) and the ultraviolet–visible synergistic effects of ZnO and CuO. The results showed that the absorption rate of ZrC was 78.58 % at 100 ppm. In the mixed system, the doping of 50 ppm ZnO increased Am to 95.27 %, and the doping of 100 ppm CuO increased to 97.52 %. In terms of maximum temperature rise and photothermal efficiency, the ZrC system was 20.92 °C (79.24 %), the ZrC/ZnO was 24.94 °C and 94.48 %, and the ZrC/CuO was 23.82 °C and 90.24 %. The energy storage ratio (SER) analysis showed that the mixed system was 13.4 %∼18.7 % higher than that of pure ZrC. The study confirmed the excellent photothermal properties of ZrC-based mixed nanofluids in DASC.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104609"},"PeriodicalIF":7.0,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222255","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":"Smart solar façades with linear concentrating photovoltaics: design, testing, economic and sustainability assessment","authors":"Sharath Kumar ,&nbsp;Uthman Opeyemi Abdullahi ,&nbsp;Hasan Baig","doi":"10.1016/j.seta.2025.104598","DOIUrl":"10.1016/j.seta.2025.104598","url":null,"abstract":"<div><div>Smart solar façades represent a promising approach to reducing building energy consumption and advancing net-zero goals. By incorporating concentrating photovoltaic (CPV) technology, these systems can generate more electricity with reduced material use, enhancing both environmental sustainability and cost-effectiveness. In this study, we designed, fabricated, tested, and analysed a smart solar façade featuring a linear concentrating element with a concentration ratio of 2.49 × . For the first time, standard Passivated Emitter and Rear Contact (PERC) solar cells were integrated into such a configuration. The façade achieved a peak power generation of 174 W/m2 while transmitting 63 % of visible light, thereby maintaining natural daylight within interior spaces. Thermal analysis showed that under standard 1 sun illumination (1000 W/m2), the solar cell reached a peak temperature of 339 K. Additionally, a comprehensive economic evaluation indicated payback periods ranging from 7 to 11 years across various climatic zones, highlighting the system’s potential for widespread adoption in sustainable building applications. Beyond traditional economic assessment, this study incorporates a holistic sustainability analysis, including embodied carbon payback, climate-adaptive performance, and the potential to achieve green certification.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104598"},"PeriodicalIF":7.0,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159887","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":"Integration of anaerobic digestion and hydrothermal carbonization towards low carbon disposal and utilization: a simulation study","authors":"Yadong Ge ,&nbsp;Chao Chen ,&nbsp;Junyu Tao ,&nbsp;Fenglian Xu ,&nbsp;Lan Mu ,&nbsp;Zhi Wang ,&nbsp;Beibei Yan ,&nbsp;Guanyi Chen","doi":"10.1016/j.seta.2025.104611","DOIUrl":"10.1016/j.seta.2025.104611","url":null,"abstract":"<div><div>This study developed an integrated model for anaerobic digestion-hydrothermal carbonization (AD-HTC) and incorporated carbon emissions to create a comprehensive evaluation indicator for AD-HTC technology. The model was constructed based on the machine learning and Anaerobic Digestion Model NO.1. The parameters of the overall integrated ecology were predicted, and optimal benefits were assessed. The results indicated that the accuracy of the integrated model exceeds 87.5%. Carbon emissions were calculated based on fertilizer substitution, biomass energy conversion, and hydrochar carbon sequestration. The carbon emission reduction value was described with the anaerobic digestion batch reaction time. The overall carbon emissions of AD-HTC exhibit a rapid increased from days 0 to 13, followed by a gradual decline from days 13 to 21. The peak carbon reduction of 1.092 gCO₂eq occurred on day 13, which was 31.4–43.7% higher than that of AD/HTC alone. At present, the method proposed in this study was applicable for calculating the product end of AD-HTC reaction. The exploration of reaction equipment, suitability of feedstocks, and complex intermediate products will be further supplemented in the future. The findings of this study are expected to provide valuable insights for the scientific control and optimization of emerging AD-HTC technology.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104611"},"PeriodicalIF":7.0,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159941","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":"First steps towards green asphalt production: levelized product cost of aggregates drying with a beam-down linear Fresnel solar field","authors":"S. Taramona,&nbsp;J.V. Briongos,&nbsp;S. Sánchez-Delgado,&nbsp;J. Gómez-Hernández","doi":"10.1016/j.seta.2025.104581","DOIUrl":"10.1016/j.seta.2025.104581","url":null,"abstract":"<div><div>The integration of solar concentrating technologies for the industrial drying and heating is a compelling approach to reduce the carbon emissions associated with low-to-mid temperature processes. This work couples the Beam-Down Linear Fresnel (BDLFR) solar technology with a conveyor belt receiver to dry and heat the virgin aggregates employed in asphalt industry. A novel lumped drying model for a fixed bed of dolomitic lime particles with low moisture content serves to explore the feasibility of the BDLFR technology for sustainable asphalt production. On-sun drying tests have been performed to validate the model for average heat fluxes of 2–5 kW/m². It has been found that shallow beds operated with low heat fluxes received at the bed surface are not affected by horizontal mass transfer diffusion, and provide the maximum drying in the final products. The estimated BDLFR cost using a conveyor belt receiver is <span><math><mrow><mn>366.2</mn><mspace></mspace><mo>€</mo></mrow></math></span> per m² of primary mirrors. The Levelized Cost of the Product calculated considers a lifetime of 20 years, an inflation rate of 3.5 % and a real discount rate of 7.6 %. The production cost of the BDLFR prototype would range between <span><math><mrow><mn>13.6</mn><mo>€</mo><mo>/</mo><mi>t</mi><mi>o</mi><mi>n</mi><mo>&lt;</mo><mi>L</mi><mi>C</mi><mi>O</mi><mi>P</mi><mo>&lt;</mo><mn>43</mn><mo>€</mo><mo>/</mo><mi>t</mi><mi>o</mi><mi>n</mi></mrow></math></span> depending on the drying time, and the average solar concentration. The solar technology might be competitive when the CO₂ emission costs are <span><math><mrow><msub><mi>C</mi><msub><mrow><mi>CO</mi></mrow><mn>2</mn></msub></msub><mo>=</mo><mn>35</mn><mo>€</mo><mo>/</mo><mi>t</mi><mi>o</mi><mi>n</mi></mrow></math></span> for fuel oil, and <span><math><mrow><msub><mi>C</mi><msub><mrow><mi>CO</mi></mrow><mn>2</mn></msub></msub><mo>=</mo><mn>41</mn><mo>€</mo><mo>/</mo><mi>t</mi><mi>o</mi><mi>n</mi></mrow></math></span> for natural gas.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104581"},"PeriodicalIF":7.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159942","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":"Comprehensive experimental study on microbial desalination cells for biological wastewater recovery, seawater brine treatment, and simultaneous power generation: applications of machine learning and thermal image processing","authors":"Mohammad Hasan Khoshgoftar Manesh,&nbsp;Maedeh Saneetaheri,&nbsp;Seyed Alireza Mousavi Rabeti","doi":"10.1016/j.seta.2025.104608","DOIUrl":"10.1016/j.seta.2025.104608","url":null,"abstract":"<div><div>Microbial Desalination Cells (MDCs) have emerged as a groundbreaking solution for addressing water scarcity, wastewater treatment, and sustainable energy production simultaneously. In this study, we present an advanced experimental and analytical approach to optimize MDC performance by integrating machine learning predictions, thermal imaging analysis, and electrochemical monitoring under diverse environmental conditions. We conducted five distinct tests using wastewater from urban treatment plants and saline water from the Caspian Sea and the Persian Gulf to examine the interplay of key operational parameters, including salinity, COD, pH, TDS, internal resistance, and polarization behavior. The results reveal several significant insights. Higher initial salinity substantially enhances desalination efficiency, achieving a record salt removal rate of 96 %. We identified an inverse relationship between COD removal and desalination efficiency, indicating a trade-off between organic matter degradation and salt removal. Oxygen availability proved to be a critical determinant of MDC performance; its presence increased voltage significantly, peaking at 1099 mV. Power generation reached its maximum at an optimal current density, producing a peak power density of 0.143 mW/cm².Thermal imaging analysis uncovered a direct correlation between heat distribution, ion migration, and microbial activity, offering valuable insights into system efficiency and energy losses. The integration of machine learning models yielded highly accurate predictions, closely matching experimental data and providing a scalable pathway for MDC performance optimization. Collectively, these findings establish MDCs as a transformative technology for renewable water and energy solutions with strong potential for real-world applications.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104608"},"PeriodicalIF":7.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159889","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 wind power forecasting accuracy through bias correction of wind speed predictions","authors":"Evangelos Spiliotis,&nbsp;Evangelos Theodorou","doi":"10.1016/j.seta.2025.104599","DOIUrl":"10.1016/j.seta.2025.104599","url":null,"abstract":"<div><div>Accurate wind power forecasting is essential for the efficient integration of renewable energy into electricity markets. This study examines the impact of wind speed bias correction on wind power forecast accuracy using various statistical methods. Analysing data from 75 wind turbines across 10 wind farms in Greece, we find that a 1% reduction in wind speed error leads to an average increase of 0.6% in wind power forecast accuracy. Our analysis further reveals that while more sophisticated models generally yield better results, improving total accuracy by about 12%, simpler methods offer comparable accuracy with lower computational costs. Nevertheless, the absolute accuracy achieved by the bias correction methods depends strongly on the initial quality of wind speed forecasts. Therefore, our findings emphasise the importance of preprocessing techniques and high-quality meteorological data in wind power forecasting.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104599"},"PeriodicalIF":7.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159888","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}