Sustainable Energy Technologies and Assessments最新文献

{"title":"Advancements in computational tools for indirect solar drying systems: a comprehensive review","authors":"Vipin Shrivastava ,&nbsp;Pushpendra Singh ,&nbsp;Vikas Kumar Thakur ,&nbsp;Tarek Kh. Abdelkader ,&nbsp;Anil Singh Yadav","doi":"10.1016/j.seta.2025.104544","DOIUrl":"10.1016/j.seta.2025.104544","url":null,"abstract":"<div><div>Solar drying has emerged as a sustainable and energy-efficient alternative to traditional open sun drying, offering faster drying rates, reduced contamination, and improved product quality. To enhance the design and performance of indirect solar dryers (ISDs), computational modeling has become an essential tool. This review systematically analyzes 25 computational tools, including ANSYS Fluent, MATLAB, COMSOL Multiphysics, TRNSYS, and RETScreen for their role in simulating, optimizing, and predicting ISD performance under diverse operating conditions. Quantitative findings highlight that ANSYS Fluent enables thermal efficiency improvements of up to 71.3 %, while MATLAB simulations predict drying durations between 3.74 and 7.45 h with an uncertainty of ±5 %. COMSOL Multiphysics demonstrates predictive accuracy with mean absolute percentage errors of 5.3 % (temperature), 3.7 % (moisture content), and 6.3 % (air velocity). Despite these advancements, critical research gaps persist, including the absence of standardized modeling frameworks, insufficient attention to product quality retention, and limited integration of economic and environmental parameters. This review’s novelty lies in its holistic comparison of computational tools and its emphasis on emerging technologies, such as Artificial Intelligence (AI), Machine Learning (ML), and Artificial Neural Networks (ANN) for adaptive control and real-time performance optimization, setting a foundation for future advancements in ISD systems.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"82 ","pages":"Article 104544"},"PeriodicalIF":7.0,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144894952","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":"A sustainable approach to repurposing hydrocarbon wells for geothermal heat recovery in biogas production: The Irminio field case study in Italy","authors":"Claudio Alimonti ,&nbsp;Davide Scrocca","doi":"10.1016/j.seta.2025.104530","DOIUrl":"10.1016/j.seta.2025.104530","url":null,"abstract":"<div><div>The climate change mitigation strategy includes the phase-out of hydrocarbon production. Before plugging and abandoning hydrocarbon wells, it is best to consider all available alternatives, such as reusing them for geothermal uses. This paper proposes a strategy for converting a hydrocarbon production site by repurposing existing hydrocarbon wells to harvest geothermal heat supplied to a biogas production facility. The case study is the Irminio oil field in SE Sicily, a favourable location for geothermal projects. A facility converting organic wastes into biogas with an anaerobic digester is sized to maintain the combined heat and power plant while feeding waste from pickup trucks. The findings demonstrate the feasibility of building two reactors that utilise 35,000 tons per year of organic waste, producing 596 m³/h of biogas. The plant footprint is limited within the existing oil area, which includes the CHP unit. The geothermal repurposing of existing wells will provide heating for the biomass that feeds the plant and a digester for 1.7 GWh/year, thereby preventing 312 tons/year of CO₂ emissions. If the other productive or potentially productive wells in Italy are repurposed using a similar technique, the suggested strategy is expected to produce between 3 and 6 billion m³/y of green biomethane.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"82 ","pages":"Article 104530"},"PeriodicalIF":7.0,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892259","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":"Biogas-fuelled refrigeration system as a pathway to reduce post-harvest losses in Sub-Saharan Africa: A feasibility evaluation","authors":"Christina Alet Louw,&nbsp;George Mbella Teke,&nbsp;Johann F. Görgens,&nbsp;Eugéne van Rensburg","doi":"10.1016/j.seta.2025.104518","DOIUrl":"10.1016/j.seta.2025.104518","url":null,"abstract":"<div><div>Different process scenarios for biogas-fuelled refrigeration (BFR), to curb food loss in Sub-Saharan Africa by providing off-grid refrigeration, were compared in terms of techno-economic feasibility. Technical simplicity was a key consideration in the selection of four biogas-fuelled refrigeration options, i.e. (i) absorption dairy coolers for smallholders, (ii) containerized cool rooms for small-scale produce value chain actors, (iii) industrial icemakers for small-scale fish value chain actors, and (iv) combined heat and power (CHP) systems for the electrical requirements of refrigeration for abattoirs. Using discounted cash flow analysis, internal rates of return ranging from 15.13 % to 28.16 % (absorption cooler), −6.77 % to −2.79 % (CHP), 0.97 % to 22.84 % (cool room), and 0.74 % to 24.05 % (icemaker plants) were estimated. The absorption dairy chiller had the best techno-economic feasibility, particularly at the smallest scale (45 L refrigerator). The high feedstock requirements for the ice maker and the cool room processes could cause operational challenges, as they are less cost-effective than alternative solar-powered options. The abattoir CHP could provide sufficient electricity to cover refrigeration demands, although the levelised energy costs (heat and electricity) were not competitive. Implementing BFR in small-scale agricultural value chains requires financing upfront capital costs, efficient equipment operation and maintenance, and the supply of process water.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"82 ","pages":"Article 104518"},"PeriodicalIF":7.0,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144886741","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":"AI-driven cooling technologies for high-performance data centres: state-of-the-art review and future directions","authors":"Dlzar Al Kez ,&nbsp;Aoife M Foley ,&nbsp;Fadhli Wong B.M. Hasan Wong ,&nbsp;Andrea Dolfi ,&nbsp;Geetha Srinivasan","doi":"10.1016/j.seta.2025.104511","DOIUrl":"10.1016/j.seta.2025.104511","url":null,"abstract":"<div><div>The increasing computational demands of artificial intelligence (AI), high-performance computing (HPC), and hyperscale cloud platforms are placing significant thermal and energy pressures on data centre infrastructure. Traditional air-based cooling systems are increasingly inadequate for managing these loads, prompting a transition toward more efficient, scalable, and sustainable alternatives. This study presents a comprehensive, system-wide review of next-generation cooling technologies, including direct liquid cooling, immersion cooling, two-phase systems, spray and jet impingement cooling, and heat pipe-based solutions. Unlike previous reviews focused on component-level or single-technology evaluations, this study integrates technical performance, commercial readiness, and environmental impact across diverse deployment conditions. A detailed comparative framework synthesises thermal efficiency, scalability, and water usage across air, liquid, and hybrid systems. Special attention is given to commercially mature solutions such as RDHx and cold plate DLC, while the feasibility of emerging methods like AI-driven cooling, phase-change materials, and thermoelectric technologies is evaluated. The review further explores heat reuse potential and ESG-aligned design strategies critical to decarbonising digital infrastructure. By mapping trade-offs across performance, cost, and sustainability, this study offers actionable insights for data centre operators, designers, and policy stakeholders navigating the path to high-efficiency, AI-ready cooling.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"82 ","pages":"Article 104511"},"PeriodicalIF":7.0,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878423","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":"Residential-IST: A web-based decision-support tool for bridging knowledge gaps in performance-driven residential building design and retrofitting in Istanbul, Türkiye","authors":"Suzi Dilara Mangan","doi":"10.1016/j.seta.2025.104529","DOIUrl":"10.1016/j.seta.2025.104529","url":null,"abstract":"<div><div>This study proposes Residential-IST to bridge the gap between residential building design, retrofitting, and performance, facilitating effective communication between residential owners (demand) and architects (supply). This web-based decision support tool is designed to inform target decision-makers and enhance decision-making. Residential-IST advances access to multi-objective design solutions by integrating a feedback loop that aligns with early design exploration and iteration principles. The proposed tool employs a workflow that addresses the gap between the information required for transitioning from a conservative to a performance-driven approach and the accessibility of that information by incorporating: i) a computational performance-driven design support method that systematically explores and analyses the design space to identify optimal solutions, and ii) an interactive visualisation method that provides rapid, constructive feedback to decision-makers through an easy-to-use interface, covering a broad design space derived from this approach. The proposed workflow is contextualised for residential building design and retrofitting in Istanbul. This study discusses the potential of this first open-access, energy- and cost-based web tool to facilitate informed decision-making for novice architects and residential owners in Istanbul as well as throughout Türkiye.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"82 ","pages":"Article 104529"},"PeriodicalIF":7.0,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144866511","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":"Optimized resource allocation in autonomous microgrids through Dual-Level energy management using WOA and Game Theory","authors":"Husam I. Shaheen ,&nbsp;Yi Zuo ,&nbsp;Bo Yang ,&nbsp;Ghamgeen I. Rashed","doi":"10.1016/j.seta.2025.104503","DOIUrl":"10.1016/j.seta.2025.104503","url":null,"abstract":"<div><div>Due to the intermittent nature of Renewable Energy Sources (RESs), advanced Energy Management Systems (EMS) are essential for Autonomous Microgrids (AMGs) to maintain power balance and stability. However, traditional EMS struggles with the dynamic dispatch of Vehicle-to-Grid (V2G)-enabled Electric Vehicle (EV) power flow, balancing Distributed Energy Resources (DERs), and addressing online computational delays. To tackle these challenges, this study proposes a novel dual-layer EMS framework that integrates the Whale Optimization Algorithm (WOA) and Game Theory (GT) for AMGs featuring Photovoltaic (PV) generation, battery storage, a fuel cell-electrolyzer system, a diesel generator, and V2G-enabled EVs. The simulation results demonstrate that WOA effectively manages EV charging and discharging, allowing V2G stations to supply up to 62% of the total load during RES fluctuations. The GT-based energy allocation further increases renewable penetration to 85%, ensuring fair distribution, low operational costs, and reliability. The framework maintains computational efficiency, outperforming traditional EMS in optimization speed for real-time operation. Key contributions include a WOA-based V2G scheduling model that stabilizes AMGs by leveraging EV flexibility, and a GT formulation for equitable and economical DER allocation. The proposed EMS offers a comprehensive solution for sustainable AMG management, combining stability, efficiency, and high renewable integration.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"82 ","pages":"Article 104503"},"PeriodicalIF":7.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144866456","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":"Effect of heat pretreatment of anodic inoculum in microbial fuel cell for enhanced methyl orange dye degradation and electricity generation","authors":"Anupama Chacko ,&nbsp;U. Akhila ,&nbsp;M.D.Tabish Noori ,&nbsp;P.P. Rajesh","doi":"10.1016/j.seta.2025.104525","DOIUrl":"10.1016/j.seta.2025.104525","url":null,"abstract":"<div><div>Microbial fuel cells (MFCs) have gained remarkable attention for effectively decolorizing Methyl orange (MO) dye—a synthetic azo dye with a significant environment concern, while generating green electricity. However, the efficiency of MFCs, both in terms of treatment and power generation, is limited by substrate loss due to methanogenesis in the microbial consortium present in the anaerobic inoculum. The present study designed to evaluate the efficiency of heat pre-treatment strategy to suppress the methanogens and how effectively decolorize methyl orange dye by enhancing the exoelectrogens activity of MFC. The MFC using heat pretreated sludge (MFC-1) demonstrates a complete MO removal of 100 % within just 4 h in a single stage, achieving a maximum power generation of 134 mW/m². The microbial profile analysis of pre-treated and untreated inoculum showed significant results with an abundance of <em>Proteobacteria</em> in MFC-1 whereas the <em>Proteobacteria</em> abundant in MFC-2 than the MFC-1. The results demonstrate heat treatment of sludge at 100 ℃ for 15 min as a promising strategy to achieve high-rate MO removal from wastewater while maintaining an enhanced power recovery. The functional traits prediction using the metagenome data reveals the presence of potential enzymes and metabolic pathways within the system of MFC.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"82 ","pages":"Article 104525"},"PeriodicalIF":7.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144866508","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":"Performance analysis of small-scale horizontal axis wind turbines with outward leading-edge tubercules","authors":"Furkan Erman Kan ,&nbsp;Veysel Demirci ,&nbsp;Mehmet Seyhan ,&nbsp;Mustafa Sarioğlu","doi":"10.1016/j.seta.2025.104531","DOIUrl":"10.1016/j.seta.2025.104531","url":null,"abstract":"<div><div>This study investigates the effect of outward leading-edge (LE) tubercles on performance of small-scale horizontal axis wind turbines (ss-HAWTs). In the study, the tubercles were placed in a 50 % R (radius) region from the mid to tip of the blade. The tubercle parameters prominent in the literature were applied to the NREL 822 airfoil, and the effectiveness of each tubercle form was evaluated under common operating conditions. The measurements were conducted in the open test section of the blowing type wind tunnel for a 3-blade rotor with a diameter of 0.9 m. The power coefficients were evaluated by keeping the baseline rotor and five different configurations experimentally at different rotational speeds. The initial blade design was simulated with <em>Q-Blade</em> software, and the experimental results were compared with the analytical results in terms of power coefficient (<em>C_P</em>). The present experimental results show that the tubercles perform effectively at high tip speed ratios, regardless of rotational speed. Tubercled blades generally underperform at low tip speed ratios (λ &lt; 4.5) but outperform the baseline at higher <em>λ</em> values. The D3 configuration with the lowest amplitude (<em>A₁</em> = 0.019) and moderate wavelength (<em>W₁</em> = 0.176) consistently achieved high <em>C_P</em> values over a wide <em>λ</em> range, particularly at 400 rpm, with up to 37.5 % higher <em>C_P</em> than the baseline at λ ≈ 5.3. In addition, tubercled blades were evaluated to be more adaptable to changes in wind speed (<span><math><mrow><mi>V</mi></mrow></math></span>), as the maximum power coefficient was maintained in a wider range in terms of <em>λ</em>. In addition, alternative blade configurations have been observed to offer greater energy production potential at low wind speeds. The surface oil flow visualization (SOFV) technique was employed to analyze the three-dimensional flow field surrounding the turbine blades at a rotational speed of 500 rpm. The findings indicate that the turbine blades with partial distribution of LE tubercle manipulated the flow by disrupting the laminar separation bubble formation observed in the baseline, thereby promoting the flow reattachment and enhancing the turbine performance.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"82 ","pages":"Article 104531"},"PeriodicalIF":7.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144866509","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":"A variable stiffness tuned nano-piezoelectric rotational energy harvester using a magnetically-modulated segmented cantilever structure","authors":"Jijun Zhou,&nbsp;Yiyong Yu,&nbsp;Can Tang,&nbsp;Panpan Liu,&nbsp;Zhonghua Zhang,&nbsp;Junwu Kan","doi":"10.1016/j.seta.2025.104519","DOIUrl":"10.1016/j.seta.2025.104519","url":null,"abstract":"<div><div>A variable-stiffness tuned nano-piezoelectric rotational energy harvester featuring a magnetically modulated segmented cantilever structure is proposed to overcome the limitations of conventional harvesters under low-frequency excitation, such as deformation drift and structural fatigue. The system integrates a central excitation magnet embedded in the cantilever beam and symmetrically arranged clamping magnets, forming a repulsive magnetic field that induces a self-correcting restoring force while enabling non-contact stiffness adjustment. This structural configuration enhances strain localization, ensures stable dynamic alignment, and improves adaptability across varying rotational speeds. A nonlinear theoretical model is developed to reveal the effects of magnetic clamping distance, excitation magnet number, and grouping configuration on voltage output and resonance behavior. Experimental results show that the VST-NPREH achieves a peak output power of 1.9 mW at 210 r/min with <em>l_c</em> = 15  mm, <em>N</em> = 4, and <em>G</em> = 1. Energy storage tests confirm its ability to charge multiple capacitors, and practical demonstrations verify its capability to power LEDs and low-power electronic devices. These findings demonstrate the effectiveness of the proposed design in enhancing energy conversion efficiency and mechanical resilience, providing a compact and durable solution for self-powered sensing in low-speed rotational environments.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"82 ","pages":"Article 104519"},"PeriodicalIF":7.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144866510","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":"Generative pre-trained transformers (GPT) for lithium-ion battery charging state prediction in battery swapping station","authors":"Dali Zhou ,&nbsp;Yufeng Sun ,&nbsp;Qin Hu ,&nbsp;Ying Shi ,&nbsp;Jicheng Yu ,&nbsp;Jian Zhang","doi":"10.1016/j.seta.2025.104526","DOIUrl":"10.1016/j.seta.2025.104526","url":null,"abstract":"<div><div>Battery swapping stations face considerable challenges due to heterogeneous battery types, inconsistent initial states, and complex spatiotemporal patterns in BMS data. To address these issues, we propose BatteryGPT, a frozen pre-trained Generative Pre-trained Transformer (GPT) framework tailored for lithium-ion battery energy forecasting. Instead of retraining the entire model, our approach fine-tunes only the input embedding and output projection layers, enabling efficient adaptation to varied battery conditions. To enhance temporal feature representation, we introduce a contrastive temporal embedding module that compresses multivariate sequences while retaining essential dynamic features. Furthermore, we design a temporal suffix alignment strategy to align time-series data with textual prompts, improving the model’s capacity for temporal reasoning. Experiments show that BatteryGPT achieves an average 55.52% improvement in prediction accuracy over LSTM and conventional deep learning baselines. Instruction-based evaluations further demonstrate its end-to-end applicability in dynamic charging management scenarios. These results highlight the potential of integrating large language models with time-series adaptation techniques for industrial energy forecasting tasks.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"82 ","pages":"Article 104526"},"PeriodicalIF":7.0,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144866501","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}