Sustainable Energy Technologies and Assessments最新文献

{"title":"Real-time evaluation of water transport through Nafion® NR-211 for proton-exchange membrane fuel cells","authors":"Ngoc Van Trinh,&nbsp;Ngoc Dat Nguyen,&nbsp;Tuan Ngoc Vu,&nbsp;Yoora Choi,&nbsp;Jinwon Yun,&nbsp;Sangseok Yu","doi":"10.1016/j.seta.2026.105232","DOIUrl":"10.1016/j.seta.2026.105232","url":null,"abstract":"<div><div>In proton-exchange membrane fuel cells, the mechanism of water transport is crucial aspect that influences the system efficiency. Herein, the water transport in Nafion® NR-211 membranes is investigated. A test jig is designed to test the electrolyte membrane in isothermal conditions and analyze the diffusive vapor mechanism by investigating the effect of different operating parameters. A real-time in situ method was used to calculate the net water transport and diffusion coefficients of the membrane module. The results reveal that the diffusion coefficients and net water transport are affected considerably by temperature and RH. The water transport and diffusion coefficient decreased with increasing operating pressure inside the electrolyte membrane system. By contrast, water transport through the electrolyte membrane improved with increasing temperature, especially at high RH. Furthermore, the electrolyte membrane performance improved with increasing volumetric flow rate. These results demonstrate a correlation between diffusivity and water content, temperature, and pressure.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"92 ","pages":"Article 105232"},"PeriodicalIF":7.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148636023","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":"Frequency safety transfer assessment based on domain separation and multi-adversarial learning for diverse renewable energy power systems","authors":"Lusu Li,&nbsp;Fang Chen,&nbsp;Junyong Wu,&nbsp;Jiaxu Li","doi":"10.1016/j.seta.2026.105230","DOIUrl":"10.1016/j.seta.2026.105230","url":null,"abstract":"<div><div>The integration of high-penetration renewable energy (RE) and varying natural conditions has introduced diversified renewable energy conditions (DRECs) into modern power systems, imposing stricter flexibility requirements on data-driven frequency security assessment. To address this challenge, this paper develops a tailored Frequency Safety Transfer Assessment (FSTA) framework based on Domain Separation and Multi-Adversarial Learning (DSMAL), by integrating and adapting established domain adaptation techniques. First, a three-branch domain separation feature extraction module is constructed, where orthogonal computation suppresses domain-private feature interference and improves the purity of deep shared features. Second, a dynamic multi-adversarial learning method aligns inter-domain deep feature distributions at global and local levels. Third, a hybrid optimization strategy based on the classic Gradient Reversal Layer jointly optimizes domain separation, dynamic multi-adversarial, and classification losses, enabling end-to-end training. The framework is a targeted adaptation of mature domain adaptation techniques to FSTA under DRECs, rather than a fundamentally new domain adaptation algorithm. Extensive tests on the IEEE 39-bus and Illinois 200-bus systems validate its effectiveness: ablation studies show 0.27-2.11% accuracy gains over the baseline; comparative studies improve accuracy by 0.64-10.07% and 0.40-6.53%, respectively; overall application time remains competitive; accuracy stays at 93.68-95.24% under 10% noise and reaches 92.49% with 5% missing data.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"92 ","pages":"Article 105230"},"PeriodicalIF":7.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148636139","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":"Integrative approach to solar PV waste Trajectories: SARIMA trend analysis and life cycle environmental evaluation in the Indian context","authors":"Prathamesh Mahadu Rale,&nbsp;Veena N Bhajantri,&nbsp;Ashootosh Mandpe","doi":"10.1016/j.seta.2026.105231","DOIUrl":"10.1016/j.seta.2026.105231","url":null,"abstract":"<div><div>India’s rapid expansion of solar photovoltaic (PV) capacity toward the 500 GW renewable energy target by 2030 will generate substantial end-of-life (EoL) PV waste, creating an environmental challenge. This study develops an integrated framework combining Seasonal ARIMA (SARIMA) forecasting with Life Cycle Assessment (LCA). The SARIMA model developed using MNRE PV installation data (2019–2024), achieved a rolling-window cross-validation MAPE of 11.32%. Forecasts indicate annual PV waste will increase from 0.37 million tonnes in 2041 to 16.98 million tonnes by 2059, with cumulative waste reaching 33.69 million tonnes. These projections were incorporated into an ISO 14040/14044 compliant LCA using SimaPro 10.4.0.1, ecoinvent v3.11, and the ReCiPe 2016 Midpoint (H) method. Mechanical recycling outperformed sanitary landfill disposal, reducing global warming potential (5.77 vs. 28.30 kg CO₂ eq), human non-carcinogenic toxicity (19.47 vs. 748 kg 1,4-DCB eq), freshwater ecotoxicity (94%), and fossil resource scarcity (86%). By 2059, the projected waste stream could recover approximately 11 million tonnes of glass, 3 million tonnes of aluminium, and silver, copper, and silicon. The proposed SARIMA-LCA framework provides a transferable tool for PV waste infrastructure planning, Extended Producer Responsibility implementation, and circular economy strategies in rapidly growing renewable energy economies.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"92 ","pages":"Article 105231"},"PeriodicalIF":7.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148635977","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":"Investigation on combustion performance enhancement and hydrocarbon emission reduction of a heavy-duty natural gas engine using eccentric intake and high-tumble-ratio flow","authors":"Chuanfu Kou,&nbsp;Changling Feng,&nbsp;Dezhong Ning,&nbsp;Chen Xiang,&nbsp;Yan Tan,&nbsp;Jiaqiang E","doi":"10.1016/j.seta.2026.105249","DOIUrl":"10.1016/j.seta.2026.105249","url":null,"abstract":"<div><div>To balance structural reliability and combustion efficiency in a heavy-duty natural gas engine, this study numerically investigated the effects of eccentric intake (v01) and high-tumble-ratio flow (v02) designs on a 16 L engine, using the baseline model as reference. Comparative analyses were conducted at brake thermal efficiency (1100 r/min) and rated power (1700 r/min) conditions under both equal electric control and equal peak pressure constraints. The v01 configuration enhanced in-cylinder tumble and turbulence, increasing the tumble ratio X-component nearly fivefold and turbulent kinetic energy by 7.6% at 1100 r/min. This resulted in shortened ignition delay (12–15%) and combustion duration (7–9%), with more concentrated heat release. Accordingly, v01 reduced high-pressure indicated specific fuel consumption by 0.60–0.81% and lowered unburned hydrocarbon emissions by 42.7–60.0%, while NOx emissions increased by 25–28%. Although the v02 configuration exhibited superior thermal efficiency and HC reduction, its substantially higher thermal load (51.0% vs. 32.2% for v01) raised concerns about cooling system demands and long-term durability. Given the limited efficiency gain of v02 over v01, the v01 scheme achieves a more balanced trade-off among efficiency, emissions, and thermal risk in the current evaluation framework.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"92 ","pages":"Article 105249"},"PeriodicalIF":7.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148636005","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":"Exergy analysis and climate-adaptive optimization of atmospheric water harvesting powered by passive radiative cooling","authors":"Hongxia Li,&nbsp;Ablimit Aili,&nbsp;Jiaobao Li,&nbsp;Zan Wu","doi":"10.1016/j.seta.2026.105248","DOIUrl":"10.1016/j.seta.2026.105248","url":null,"abstract":"<div><div>As global freshwater scarcity intensifies, Atmospheric Water Harvesting (AWH) powered by passive Radiative Cooling (RC) offers a sustainable, carbon-free alternative to energy-intensive refrigeration. However, the thermodynamic limits and regional viability of these systems remain insufficiently characterized. Here we couple a second-law exergy analysis of a condensation-driven RC-AWH system with hourly meteorological data and controlled subcooling scenarios. Decomposing exergy into thermal and humid components reveals that thermal exergy destruction accounts for over 90% of total irreversibility across most operating conditions, exceeding humid-exergy losses by a factor of approximately 40. Deeper subcooling raises moisture extraction per unit air mass but lowers net radiative cooling power, producing a non-monotonic yield trade-off, whose optimum shifts with climate: an intermediate subcooling of ∼ 5 °C maximizes the daily yield in the arid Middle East region (∼1.0 kg m⁻² d⁻¹ in April), deepening to ∼ 8 °C in the drier summer and autumn months, whereas ∼ 5 °C remains optimal year-round in the humid southern China region (∼1.7 kg m⁻² d⁻¹ in October). A global feasibility map shows that humid tropical zones approach 2 kg m⁻² d⁻¹, while arid zones with strong radiative cooling power remain yield-limited by low dew points. These results provide a thermodynamic baseline and concrete operating rules for the climate-adaptive design of low-energy, off-grid RC-AWH systems.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"92 ","pages":"Article 105248"},"PeriodicalIF":7.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148636021","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 digital twin-based approach for energy optimisation in medical gas systems in hospital intensive care units","authors":"Mustafa Akkaya,&nbsp;Sinem Akkaya","doi":"10.1016/j.seta.2026.105225","DOIUrl":"10.1016/j.seta.2026.105225","url":null,"abstract":"<div><div>Given the increasing energy demands associated with the use of advanced medical technologies in healthcare services, it has become imperative to implement energy optimisation measures in line with global trends. New technologies such as digital twins, system information modelling, the Internet of Things, sensing technologies, and data analytics have become indispensable elements in creating more efficient systems. This study presents analyses using a digital twin-based approach to ensure energy efficiency in medical gas systems through predictive demand control in hospital intensive care units. Within the scope of the study, a digital twin was developed by simulating operational dynamics, taking into account the physical system model, operational dynamics modelling, and control-optimisation modelling. The time series data generated by the modelled digital twin simulation was used to train an LSTM deep learning model that predicts with 89.70% R² accuracy. The model, implemented through the digital twin simulation, proactively optimises the operating strategy of the medical compressor system using predictions generated by the developed predictive demand control (PDC) algorithm. The use of the generated PDC simulation provides an 18.9% energy efficiency in annual energy consumption compared to conventional methods. Furthermore, a significant improvement was observed in compressor on–off cycles compared to conventional methods. As an advanced approach to system optimisation, the Cycle-Limited Predictive Demand Control (CL-PDC) algorithm was developed by targeting approximately 10 complete start–stop cycles per day under normal operating conditions. This demand cycle resulted in a 13.2% reduction in cycles, 6.0% additional savings, and a +7.8 year extension in contactor life. In the study, the data production process was created by adhering to patient admissions and discharges to the ICU, changes in patient status, and medical gas demand, while also prioritising patient safety. This research highlights the potential of operational digital twins to enhance energy efficiency in hospital infrastructure.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"92 ","pages":"Article 105225"},"PeriodicalIF":7.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148636136","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":"Bio-interface engineering in MFC: modification of granular activated carbon with Nb2O5 reduces charge transfer resistance and selects a microbial consortium for nitrogen removal","authors":"Verena Mandorino Kaminagakura,&nbsp;Vitor Cano,&nbsp;Gilmar Clemente Silva,&nbsp;Rafael Buoro,&nbsp;Benjamin Erable,&nbsp;Marcelo Antunes Nolasco","doi":"10.1016/j.seta.2026.105202","DOIUrl":"10.1016/j.seta.2026.105202","url":null,"abstract":"<div><div>Microbial fuel cells (MFCs) have emerged as a promising technology for simultaneous wastewater treatment and energy recovery; however, their performance is often limited by electrode properties and biofilm–electrode interactions. In this study, granular activated carbon (GAC) electrodes modified with Nb₂O₅ were evaluated in nitrifying and denitrifying MFCs treating vinasse, focusing on nitrogen conversion and bioelectrochemical performance. Nb₂O₅ incorporation increased the average pore diameter from 1008.0 to 1774.9 nm and was associated with substantial improvements in electrochemical behavior. Electrochemical impedance spectroscopy revealed reductions in charge transfer resistance of up to 86-fold compared with unmodified GAC, indicating more favorable interfacial electron-transfer conditions. These electrochemical improvements coincided with enhanced current generation, lower nitrite accumulation, and improved nitrate conversion, particularly under denitrifying conditions. Microbial community analyses revealed distinct biofilm compositions on modified electrodes, including the enrichment of taxa commonly reported in nitrifying, denitrifying, and bioelectrochemical environments. Although direct causal relationships could not be established, the combined structural, electrochemical, and microbial evidence suggests that Nb₂O₅ modification altered the biofilm–electrode interface and was associated with changes in nitrogen transformation pathways. These findings highlight the potential of Nb₂O₅-modified GAC as a promising strategy for improving bioelectrochemical system performance during the treatment of nitrogen-rich wastewaters.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"92 ","pages":"Article 105202"},"PeriodicalIF":7.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148636145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy demand and sustainability assessment of a 50-hectare farm using deterministic and fuzzy logic models","authors":"Modestus O. Okwu,&nbsp;Joseph O. Oyekale,&nbsp;Enoch Chibuma,&nbsp;Eseoghene Oweibo","doi":"10.1016/j.seta.2026.105239","DOIUrl":"10.1016/j.seta.2026.105239","url":null,"abstract":"<div><div>Agricultural productivity in rural Nigeria is strongly constrained by unreliable energy supply and heavy dependence on diesel-based generation systems. This study presents an integrated framework for evaluating energy demand and sustainability in a 50-hectare agricultural farm cluster in Delta State, Nigeria, comprising crop production, aquaculture, and livestock systems. A bottom-up deterministic model was developed to estimate energy demand based on equipment-level load characterization and operational schedules. Results show a total daily energy demand of 12,674.96 kWh, with cooling systems (∼79%) and irrigation (∼13.6%) constituting the dominant energy loads. The analysis further reveals that more than 80% of the farm’s energy consumption is supplied by non-renewable diesel generators, indicating high operational costs and carbon intensity. To complement the deterministic analysis, a fuzzy logic-based multi-criteria sustainability assessment was conducted across economic, social, and environmental dimensions, incorporating 21 indicators to address uncertainty and subjectivity in stakeholder perceptions. The fuzzy evaluation highlights high operational costs and environmental burdens, alongside moderate-to-strong social readiness for renewable energy adoption. The integrated findings demonstrate that transitioning to hybrid renewable energy systems, particularly solar and wind technologies can substantially improve energy reliability, reduce operational costs, and mitigate environmental impacts. In addition, the results support the feasibility of shared energy systems among farm clusters as a strategy for enhancing energy resilience and sustainability. In summary, this study contributes a robust hybrid deterministic–fuzzy framework for energy and sustainability assessment in data-scarce rural agricultural systems, providing a decision-support tool for optimizing energy transitions in developing regions.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"92 ","pages":"Article 105239"},"PeriodicalIF":7.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148635979","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":"Multi-level nested and non-iterative coordination method for dispatching hierarchical integrated energy systems","authors":"Zhenfei Tan,&nbsp;Hongyun Feng,&nbsp;Zheng Yan,&nbsp;Chen Fang,&nbsp;Guanyu Song","doi":"10.1016/j.seta.2026.105086","DOIUrl":"10.1016/j.seta.2026.105086","url":null,"abstract":"<div><div>With the advancement of multi-energy coupling across various sectors, the coordinated dispatch of integrated energy systems (IES) has become crucial for promoting energy utilization efficiency and security. However, conventional coordination methods rely on iterative information exchange, which suffers from convergence issues, limited accuracy, heavy communication and computation burdens, particularly when applied to hierarchical systems with multiple levels. To this end, this paper proposes a multi-level nested and non-iterative coordination method for dispatching the hierarchical IES with multiple levels and multiple energy flows. The proposed coordination method consists of a bottom-up model projection process and a top-down coordinated dispatch process. A nested equivalent projection technique is developed to ensure optimization equivalence between coordinated dispatch and centralized dispatch. Only a single round of information exchange is required to coordinate the operation of the hierarchical IES. The results from test systems of varying scales show that the proposed method reduces operation costs by 11.48% compared with the decoupled operation method, and achieves a tenfold speedup compared with the hierarchical Lagrangian relaxation method by avoiding iterations.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"92 ","pages":"Article 105086"},"PeriodicalIF":7.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148730398","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":"Sustainable bioenergy production via wastewater-to-energy conversion technologies: progress modelling and future prospects","authors":"Mahsa Davarazar,&nbsp;Mohammadreza Kamali,&nbsp;Tejraj M. Aminabhavi,&nbsp;Raf Dewil,&nbsp;Isabel Lopes","doi":"10.1016/j.seta.2026.105235","DOIUrl":"10.1016/j.seta.2026.105235","url":null,"abstract":"<div><div>Scarcity of clean water and the need for renewable energy are of high interest in current severe environmental pollution issues. Wastewater-to-energy conversion technologies (WECTs) have been developed to capture biogas, bioelectricity, hydrogen, or ammonia from wastewater. This study deals with these technologies via a systematic approach using visualisation and modelling tools vosViewer, Scientopy and Orange data mining software to identify the existing research gap and future research opportunities and the needs. To this end, relevant keywords were selected through a rigorous literature review and used for advanced searches in the WoS database to model progress and predict future status and trends. A total of 25,676 documents were retrieved and analysed to identify hot topics and future trends in terms of the amount of clean energy produced, efficiency of the treatment process and quality of treated effluents in terms of toxicity effects towards ecological indicators. Important but less investigated topics, especially ecotoxicological studies on treated effluents using WECTs, are investigated.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"92 ","pages":"Article 105235"},"PeriodicalIF":7.4,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148635982","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}