Sustainable Energy Technologies and Assessments最新文献

{"title":"Sustainable biodiesel from Pyrus pashia seed oil using Sauromatum venosum-derived CdO nanoparticles","authors":"Mumna Munir ,&nbsp;Mushtaq Ahmad ,&nbsp;Abdulaziz Abdullah Alsahli ,&nbsp;Lixin Zhang ,&nbsp;Shazia Sultana ,&nbsp;Bisha Chaudhry ,&nbsp;Sarwar Khawaja ,&nbsp;Fayziev Vakhid Bahramovich ,&nbsp;Ahmad Mustafa","doi":"10.1016/j.seta.2025.104372","DOIUrl":"10.1016/j.seta.2025.104372","url":null,"abstract":"<div><div>Sustainable and cost-effective energy alternatives are necessary to tackle both greenhouse gas emissions and fossil fuel depletion Therefore, the use of biofuels as an alternative is most appropriate. This study explores the<!--> <!-->biodiesel synthesis from novel non-edible Pyrus pashia L. seed oil utilizing a cadmium oxide (CdO) as a novel phyto-derived solid nanocatalyst from <em>Sauromatum venosum</em> fruit a bio-based raw material, utilizing high-temperature furnace heating at 500 ◦C. CdO nanoparticles were analyzed using Fourier-transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), energy-dispersive X-ray spectroscopy (EDX), and scanning electron microscopy (SEM). Optimal biodiesel production conditions were established using Response surface methodology (RSM) at a methanol-to-oil molar ratio of 9:1, a reaction temperature of 80 °C, a reaction time of 105 min, and a catalyst loading of 0.74 wt%, yielding 97.12 %. The synthesized<!--> <!-->biodiesel was analyzed using FT-IR spectroscopy and gas chromatography-mass spectrometry (GC–MS). The physicochemical analysis met European (EN 14214) and American (ASTM D 6751) biodiesel standards, with favorable properties such as density (0.87 kg/L), acid value (0.24 mg KOH/g), kinematic viscosity (3.4 and 5.0 cSt at 40 °C), flash point (90 °C), cloud point (9 °C), pour point (13 °C), and low sulfur content (0.004 wt%). The catalyst’s reusability was also examined after seven cycles, demonstrating a gradual decrease in efficiency. However, even in the seventh cycle, biodiesel production remained high at 86 % efficiency, demonstrating the approach’s potential for long-term biodiesel synthesis. The findings of this study led to the conclusion that non-conventional and non-edible oil seeds of <em>Purus pashia</em>, as well as green <em>Sauromatum venosum</em>-derived CdO nanocatalyst, are viable, low-cost, sustainable, and highly reactive contenders for the future biodiesel industry, with the potential to mitigate energy glitches while also improving the socioeconomic well-being of communities on a global scale.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"80 ","pages":"Article 104372"},"PeriodicalIF":7.1,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144184619","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":"Advancing renewable energy technologies in remote areas: Exploring key success factors and interdependencies for sustainable wind energy development","authors":"Qigan Shao ,&nbsp;Huai-Wei Lo","doi":"10.1016/j.seta.2025.104367","DOIUrl":"10.1016/j.seta.2025.104367","url":null,"abstract":"<div><div>As the global transition toward renewable energy intensifies, remote and underserved regions face a dual challenge: growing energy demand and limited access to centralized power infrastructure. Wind energy, with its scalability and low environmental impact, offers a promising solution—particularly in regions such as China’s Dabie Mountains. This study proposes a comprehensive evaluation framework and employs an interval neutrosophic DANP (Decision-Making Trial and Evaluation Laboratory-based Analytic Network Process) model to identify and prioritize key success factors for sustainable wind energy development (SWED) in remote areas. Based on expert input from ten professionals experienced in wind energy deployment in the Dabie Mountain region, the study examines the interdependencies among 18 evaluation criteria, which are categorized under five key dimensions: technological, economic, social, environmental, and market demand. Results reveal that “supply–demand balance,” “wind energy consumption potential,” and “local utilization capacity” are the three top influential factors in determining long-term success. The study not only introduces a novel model but also provides practical insights for aligning renewable energy planning with local needs, resource conditions, and sustainability goals. Its findings offer targeted policy recommendations for accelerating equitable and resilient energy transitions in remote and resource-rich communities.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"79 ","pages":"Article 104367"},"PeriodicalIF":7.1,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168372","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":"Development and performance assessment of switched-capacitor multilevel inverters for solar PV applications","authors":"Yatindra Gopal ,&nbsp;Kaibalya Prasad Panda ,&nbsp;Pranda Prasanta Gupta ,&nbsp;Dheeraj Kumar Dhaked ,&nbsp;Yogendra Arya","doi":"10.1016/j.seta.2025.104360","DOIUrl":"10.1016/j.seta.2025.104360","url":null,"abstract":"<div><div>The increasing need for improved power quality and greater power capacity has prompted the development of switched-capacitor multilevel inverters (SCMLIs) for photovoltaic (PV) systems. The SCMLIs enable self-balancing and voltage boosting to generate a step-up AC output voltage. With a focus on reducing the number of components, this paper presents a seven-level (7L)-PV based-reduced SCMLI (7L-PV-RSCMLI) topology, designed for low to medium power applications. To enhance the performance of the PV system, a new modified Regula Falsi method (MRFM) algorithm is used to track the maximum power point. By utilizing a combination of self-balanced capacitors and switches, the inverter generates 7L stepped output voltage waveform which improves power quality. The proposed topology achieves 7L output voltage with a peak value three times of the input DC-bus voltage. Therefore, the proposed 7L-PV-RSCMLI boosts the voltage output using only eight switches and has reduced size compared to existing 7L inverters, as demonstrated by a detailed comparative analysis. A simplified carrier-based pulse width modulation technique is employed to verify the operation of the standalone PV system. The performance of the proposed design is analyzed and validated through simulations in the MATLAB® Simulink environment. Furthermore, experimental results from a laboratory prototype under transient conditions confirm the performance and validity of the proposed inverter. The total harmonic distortion of the 7L inverter output voltage observed in the simulation and experimental results are 11.41 % and 11.64 %, respectively.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"79 ","pages":"Article 104360"},"PeriodicalIF":7.1,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168368","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":"Online condition monitoring and state of health estimation method for lithium-ion batteries based on time-ratio features","authors":"Gaige Chen ,&nbsp;Chenglong Wang ,&nbsp;Yahong Yang ,&nbsp;Xiaoshen Zhang ,&nbsp;Wei Deng ,&nbsp;Jinsong Liu","doi":"10.1016/j.seta.2025.104364","DOIUrl":"10.1016/j.seta.2025.104364","url":null,"abstract":"<div><div>Condition monitoring and state of health estimation are crucial for ensuring the secure operation of lithium-ion batteries. To address the difficulty in thoroughly capturing the changes in the state of the partial charging and discharging processes of the battery and the high demand for real-time performance of battery condition monitoring, a method for online condition monitoring and state of health estimation of lithium-ion batteries based on time-ratio features from the whole process is proposed. The health features are derived from the battery’s full charging and discharging curves, and the correlation methodology is used to analyse the relationship with the state of health. The proposed random forest-based online condition monitoring model and gated recurrent unit-based state of health estimation model are conducive to timely monitoring abnormal conditions and accurate estimation to ensure safe battery operation. Finally, the proposed method can realise accurate and real-time online condition monitoring with a classification accuracy of more than 0.93 and running time of less than 0.2 ms, and achieve better performance of state of health estimation under different ambient temperatures, with a root-mean-square error of less than 0.02 at room temperature and less than 0.01 at 43 °C.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"79 ","pages":"Article 104364"},"PeriodicalIF":7.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168371","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":"Nonlinear dynamics-based control strategy for hydrogen-based sustainable energy grid with flexible load of P2H system","authors":"Fengtong Duan,&nbsp;Wanxing Sheng,&nbsp;Guanglin Sha,&nbsp;Yunzhao Wu","doi":"10.1016/j.seta.2025.104361","DOIUrl":"10.1016/j.seta.2025.104361","url":null,"abstract":"<div><div>In off-grid DC hydrogen production systems, photovoltaic (PV) variability often leads to source-load mismatches, resulting in excessive proton exchange membrane electrolyzer (PEMEL) input current ripple and compromising hydrogen production safety. While PEMEL’s flexible load characteristics can stabilize operations by tracking PV fluctuations, the nonlinear dynamics and time-delay effects of the PEMEL branch coupled with an input-series output-parallel dual active bridge (ISOP-DAB) converter present significant control challenges. Unconstrained voltage ratios in triple-phase-shift (TPS) modulation exacerbate PEMEL-ISOP-DAB equivalent load-PV mismatch. Thus, we propose an extended state observer (ESO)-based flexible load active disturbance rejection control (ADRC) strategy, which employs a three-tier control framework. The first tier ensures power balance across converter submodules through voltage sharing control. The second tier minimizes converter current stress using a Lagrange multiplier optimization algorithm. The third tier implements an ESO-based terminal sliding mode control (TSMC) strategy to dynamically adjust the electrolyzer’s equivalent load and match PV output, thereby reducing electrolyzer input current ripple. Compared to conventional PI control, the strategy reduces steady-state current ripple by 84.66 % and step-change-induced ripple by 97.36 %, enhancing PEMEL safety without requiring complex hardware modifications. Its hierarchical control framework can be directly integrated into existing photovoltaic-hydrogen systems to enhance operational safety and hydrogen yield.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"79 ","pages":"Article 104361"},"PeriodicalIF":7.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154477","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":"Retraction notice to “Enhancing smart grid integrated renewable distributed generation capacities: Implications for sustainable energy transformation” [Sustain. Energy Technol. Assess. 66 (2024) 103793]","authors":"Qusay Hassan ,&nbsp;Chou-Yi Hsu ,&nbsp;Kamilia MOUNICH ,&nbsp;Sameer Algburi ,&nbsp;Marek Jaszczur ,&nbsp;Ahmad A. Telba ,&nbsp;Patrik Viktor ,&nbsp;Emad Mahrous Awwad ,&nbsp;Muhammad Ahsan ,&nbsp;Bashar Mahmood Ali ,&nbsp;Ali Khudhair Al-Jiboory ,&nbsp;Sadiq N. Henedy ,&nbsp;Aws Zuhair Sameen ,&nbsp;Maha Barakat","doi":"10.1016/j.seta.2025.104356","DOIUrl":"10.1016/j.seta.2025.104356","url":null,"abstract":"","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"79 ","pages":"Article 104356"},"PeriodicalIF":7.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144194598","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":"GIS-based potential assessment for pumped storage hydropower using existing reservoirs in China","authors":"Jihang Jiang ,&nbsp;Zhenni Wang ,&nbsp;Xin Wen ,&nbsp;Junhong Li","doi":"10.1016/j.seta.2025.104366","DOIUrl":"10.1016/j.seta.2025.104366","url":null,"abstract":"<div><div>Enhancing existing reservoirs with upper reservoirs for pumped storage hydropower (PSH) is a promising approach for PSH development. However, large-scale site selection and capacity assessment for PSH face significant challenges due to diverse topographic conditions. This study proposes a large-scale PSH potential assessment model leveraging GIS to identify potential upper reservoir sites in mountainous and flat terrains based on existing reservoirs. For the first time, the theoretical and realizable potential of this PSH development approach in China is comprehensively evaluated. Furthermore, the applicability of this methodology across various topographical conditions is compared and validated. A case study of 532 large reservoirs from the GRanD dataset reveals that China’s overall theoretical PSH potential is approximately 9,671 GWh. The realizable potential (8,717 GWh) is roughly 1.74 times the country’s current planned and reserved PSH capacity. The potential sites are primarily located in the flat terrain areas (86% of the total storage potential) and are geographically distributed in the northwest and southwest regions (79% of the total storage potential). Qinghai Province in the northwest exhibits the largest potential, contributing 32% of the total storage potential. The maximum tunnel length significantly impacts PSH potential, with the 20-km tunnel scenario demonstrating approximately 5.5 times the potential of the 5-km tunnel scenario.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"79 ","pages":"Article 104366"},"PeriodicalIF":7.1,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134051","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":"Impact of roto-till drill on energy saving in wheat production using difference-in-difference method","authors":"Manoj Kumar ,&nbsp;Ramesh Kumar Sahni ,&nbsp;Manish Kumar ,&nbsp;A.K. Roul ,&nbsp;K.P. Saha ,&nbsp;C.S. Sahay ,&nbsp;Bikram Jyoti ,&nbsp;Satish Kumar Singh","doi":"10.1016/j.seta.2025.104358","DOIUrl":"10.1016/j.seta.2025.104358","url":null,"abstract":"<div><div>Energy efficiency and sustainable practices are critical for addressing environmental concerns and improving resource use in agriculture. Conventional farming methods result in higher energy consumption whereas resource conservation machinery such as roto-till drill offers potential to increase energy use efficiency. This study assessed the impact of roto-till drill used in wheat cultivation in Central India. Selected farmers engaged in wheat cultivation in Bhopal region of Central India were categorized into two groups: control and treated. Control group practiced conventional farming (tillage with MB plough or cultivator and seed sowing using seed drill or seed-cum-fertilizer drill) and treated group used roto-till drill for sowing of wheat. The energy use efficiency (EUE), specific energy (SE), carbon emission, and yield were measured for both groups, pre- and post-interventions of roto-till drill. The difference-in-difference (D-I-D) method was used to estimate the impact of roto-till drills on energy parameters. The EUE of control group was 10.75 and 9.93 in pre- and post-period respectively, while treated group observed 10.41 and 15.90. Furthermore, the treated group were able to significantly increase their EUE by 6.30 in comparison to the control group. In addition, the treated group used 2.57 MJ lesser energy than the control group to produce one kilogram of wheat. There was no significant impact of roto-till drill in reducing carbon emission and increasing yield. Overall, adoption of the roto-till drill significantly increased EUE without affecting the yield of the wheat crop.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"79 ","pages":"Article 104358"},"PeriodicalIF":7.1,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117059","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":"Understanding Knowledge, Perception, and acceptance of geothermal energy among Indonesian Students: Implications for sustainable renewable energy initiatives","authors":"Nugroho Agung Pambudi ,&nbsp;Iksan Riva Nanda ,&nbsp;Wahyudi ,&nbsp;Suharno","doi":"10.1016/j.seta.2025.104357","DOIUrl":"10.1016/j.seta.2025.104357","url":null,"abstract":"<div><div>Indonesia has several renewable energy sources, including solar, wind, hydro, biomass, and geothermal energy is one of abundant potential due to the country’s location in Ring of Fire. However, the utilization ratio of geothermal energy is limited due to several resistances. Research aimed to investigate knowledge, acceptance, and perception among Indonesian students to provide comprehensive understanding of geothermal energy development. A comprehensive mixed methods were used, combining both quantitative and qualitative, with 334 student participants from 23 vocational high schools using Proportionate Stratified Random Sampling. Questionnaires have been developed by experts and rigorously tested using SPSS Software. The results showed that vocational students showed statistically high levels of knowledge and perception concerning geothermal energy, at 58% and 59%, respectively. Furthermore, 52.7% and 25.7% of participants showed high and very high acceptance levels, respectively. However, statistical analysis showed low correlation between knowledge and perception to acceptance levels. In the interviews, although Indonesian students widely recognized and acknowledged geothermal energy for electricity production, their awareness of local energy sources was significantly lower. This research provides important recommendations for government and stakeholders in shaping future geothermal energy development, emphasizing the essential role of these students in long-term sustainability of renewable energy in Indonesia.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"79 ","pages":"Article 104357"},"PeriodicalIF":7.1,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107743","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 photovoltaics hotspot and dirt accumulation detection with computer vision: A systematic YOLO model comparison based on field aerial images","authors":"Eleftherios G. Vourkos ,&nbsp;Rafaela A. Agathokleous ,&nbsp;Andreas S. Panayides ,&nbsp;Soteris A. Kalogirou ,&nbsp;Eftychios G. Christoforou","doi":"10.1016/j.seta.2025.104355","DOIUrl":"10.1016/j.seta.2025.104355","url":null,"abstract":"<div><div>Photovoltaics represent a significant renewable energy source, and substantial investments exist in large-scale PV plants. The accumulation of dust and other deposits on the PV panels can result in the formation of hotspots, which drastically impair the performance of the systems and cause damage to the PV cells. The use of aerial imagery provides a valuable tool for monitoring photovoltaic plants to identify hotspots and dirt accumulation. However, the employment of effective machine learning algorithms is essential for the detection of such abnormalities. Τhe implementation of a monitoring system is proposed, based on the You Only Look Once (YOLO) computer vision algorithm to address this need. The performance of various versions of YOLO models (YOLOv5, YOLOv7, YOLOv8, YOLO-NAS, and YOLOv9) was evaluated using two custom datasets generated for the detection of hotspots and bird droppings, respectively. The datasets comprise aerial thermal and optical images collected via a drone. Additionally, optimal sets of parameters were identified for each individual YOLO model. YOLOv5 demonstrated exceptional performance, achieving a mean Average Precision of 99.4% on the ’BIRD DROPPING’ dataset and 99.3% on the ’HOT SPOT’ dataset. Notably, for the ’HOT SPOT’ dataset, YOLOv8 achieved the highest recall at 99.4%, showcasing its capability in accurately identifying hotspots.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"78 ","pages":"Article 104355"},"PeriodicalIF":7.1,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089664","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}