Sustainable Energy Technologies and Assessments最新文献_第7页

Climate drivers and long-term trends of 100 m winds in Northeast Brazil: implications for wind-energy planning and climate resilience 巴西东北部100米风的气候驱动因素和长期趋势：对风能规划和气候适应能力的影响

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-11 DOI: 10.1016/j.seta.2026.105378

Pedro Tyaquiçã, Doris Veleda, Alexandre Costa, Olga C. Vilela, Danang Eko Nuryanto, Leonardo Petribú, Thiago Luiz do Vale Silva, Marlos Ribeiro

{"title":"Climate drivers and long-term trends of 100 m winds in Northeast Brazil: implications for wind-energy planning and climate resilience","authors":"Pedro Tyaquiçã, Doris Veleda, Alexandre Costa, Olga C. Vilela, Danang Eko Nuryanto, Leonardo Petribú, Thiago Luiz do Vale Silva, Marlos Ribeiro","doi":"10.1016/j.seta.2026.105378","DOIUrl":"10.1016/j.seta.2026.105378","url":null,"abstract":"<div><div>Wind energy has expanded rapidly in Northeast Brazil (NEB), but the influence of large-scale climate variability and long-term circulation changes on turbine-relevant (100 m) winds remains insufficiently quantified for energy planning. This study examines whether Atlantic and Pacific climate modes are associated with coherent patterns of 100 m wind-speed and wind-direction variability over NEB and whether these patterns are reflected in long-term trends and wind-energy metrics. ERA5 monthly 100 m winds (1980–2025) are analyzed using Complex Empirical Orthogonal Function (CEOF) decomposition, correlations with climate indices, Mann–Kendall trend testing, and diagnostics including wind power density (WPD), relative WPD change, and the Weibull shape factor. Four physically consistent modes of coupled wind-vector variability are identified. The leading modes are strongly associated with the Atlantic Meridional Mode (AMM), with secondary contributions from the Atlantic Multidecadal Oscillation, Atlantic Niño (ATL3), and ENSO. Significant decadal trends indicate strengthening southeasterly flow toward NEB over part of the domain, accompanied by coherent changes in WPD and wind-regime regularity. These results support incorporating climate diagnostics into regional wind-resource assessment and climate-resilient energy planning, while emphasizing that reanalysis-derived indicators are regional-scale rather than site-specific estimates.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105378"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952731","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}

引用次数: 0

Assessing the thermoeconomic performance and CO2 emission reduction of data center–assisted pumped thermal electricity storage 评估数据中心辅助抽水蓄能热经济性能和二氧化碳减排

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-08-30 DOI: 10.1016/j.seta.2026.105363

Burak Kurşun, Korhan Ökten, Ahmet Hıdır

{"title":"Assessing the thermoeconomic performance and CO2 emission reduction of data center–assisted pumped thermal electricity storage","authors":"Burak Kurşun, Korhan Ökten, Ahmet Hıdır","doi":"10.1016/j.seta.2026.105363","DOIUrl":"10.1016/j.seta.2026.105363","url":null,"abstract":"<div><div>Waste heat-assisted pumped thermal electricity storage (PTES) can improve energy storage performance by using low-cost thermal resources, and data center waste heat is attracting increasing attention because of its continuous availability. This study presents a thermoeconomic and environmental assessment of a data center waste heat-assisted PTES (DC + PTES) and compares it with industrial waste gas-assisted PTES (WG + PTES). The novelty lies in establishing a comparative framework that considers the thermoeconomic effects of an auxiliary waste heat storage system compensating for the temporal variability of both heat sources. Furthermore, unlike previous studies, the comparison was performed under the respective minimum levelized cost of energy storage (LCOS) operating conditions of the two systems. The effects of heat pump evaporator temperature, data center chip temperature, waste heat capacity, charging time, discount rate, and electricity price were systematically investigated. Increasing waste heat capacity (0.5–4 MW) reduced the LCOS from 0.562 to 0.295 $/kWh for WG + PTES and from 0.528 to 0.328 $/kWh for DC + PTES. Although WG + PTES achieved higher power-to-power efficiency, DC + PTES provided 11.7–17.7% higher cumulative net electrical energy output and 6.6–10.2% greater absolute net CO<sub>2</sub> emission reduction over the 25-year lifetime under the respective minimum-LCOS operating conditions of the two systems.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105363"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952604","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}

引用次数: 0

Advancing net-zero energy buildings through battery energy storage: a techno-economic, carbon, and resilience assessment 通过电池储能推进净零能耗建筑：技术经济、碳和弹性评估

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-07 DOI: 10.1016/j.seta.2026.105376

Vatsal Bhuva, Carlos Gamarra, Tianrun Zhang, Pam Gallagher, Likun Chen

{"title":"Advancing net-zero energy buildings through battery energy storage: a techno-economic, carbon, and resilience assessment","authors":"Vatsal Bhuva, Carlos Gamarra, Tianrun Zhang, Pam Gallagher, Likun Chen","doi":"10.1016/j.seta.2026.105376","DOIUrl":"10.1016/j.seta.2026.105376","url":null,"abstract":"<div><div>Achieving Net-Zero Energy (NZE) operations is a major milestone for public and private buildings aiming to reduce energy costs and emissions. Battery Energy Storage Systems (BESS) offer promising solutions for many NZE buildings to increase on-site renewable energy utilization, resilience to outages, and reduce emissions. This paper evaluates the feasibility of integrating BESS into NZE buildings to enhance resilience and achieve near-zero emissions, using a real case study: NZE office building of the Houston Advanced Research Center (HARC) in Texas. The impacts of deploying six BESS technologies were assessed using high-resolution operations and solar generation data. Sensitivity analysis was conducted to determine financial and embodied carbon payback thresholds. Currently, the solar PV plant at HARC helps reduce emissions by approximately 45%; however, 65% of solar energy is exported to the grid. By deploying BESS, HARC will increase on-site use, thereby reducing grid dependency, achieving more than 20 h of resilience and lowering emissions, depending on size. The analysis shows that optimal selection of BESS can achieve meaningful carbon reductions of 69%–98%, with financial payback periods as short as eight years. These findings present a real-world case on how the increasing number of NZE buildings in the U.S. can be resilient, near-zero-emissions buildings.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105376"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952630","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}

引用次数: 0

Transient thermal performance and voltage uniformity of an automotive self-humidifying PEMFC stack under wind-tunnel conditions 风洞条件下汽车自湿式PEMFC堆的瞬态热性能和电压均匀性

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-14 DOI: 10.1016/j.seta.2026.105380

Shi Xiuyong, Xu Haiyan, Qiao Hong, Liu Hua, Liu Dengcheng, Zhuang Caihua, Fang Liang, Yang Xiaomei

{"title":"Transient thermal performance and voltage uniformity of an automotive self-humidifying PEMFC stack under wind-tunnel conditions","authors":"Shi Xiuyong, Xu Haiyan, Qiao Hong, Liu Hua, Liu Dengcheng, Zhuang Caihua, Fang Liang, Yang Xiaomei","doi":"10.1016/j.seta.2026.105380","DOIUrl":"10.1016/j.seta.2026.105380","url":null,"abstract":"<div><div>To investigate the effects of ambient temperature, humidity, and speed-induced forced convection on the hydrothermal behavior and voltage uniformity of self-humidifying PEMFC stacks, wind-tunnel experiments were conducted. Ambient temperature and forced convection significantly affected the thermal-equilibrium limit power. Moderate humidity improved thermal equilibrium, whereas excessive humidity undesirably increased the equilibrium temperature. At a given current density, humidity-induced differences in anode pressure drop mainly reflected changes in the anode water state; its nonlinear dependence on current density, including a transition near 0.6 A/cm<sup>2</sup>, may also involve anode gas flow and nitrogen accumulation. An apparent coolant-temperature lag occurred during power transients, remaining approximately 2.0 s during power-down but ranging from 1.3 to 2.6 s during power-up. Cell-to-cell voltage uniformity, quantified by the coefficient of variation (<em>C<sub>v</sub></em>), was highly sensitive to ambient conditions and coolant temperature, with <em>C<sub>v</sub></em> < 0.24 % at 60 % relative humidity and a coolant temperature of 70 °C. <em>C<sub>v</sub></em> fluctuations intensified with power variations: the initial reactant-flow response drove rapid changes, whereas electrochemical water production and gas-flow-induced water removal governed the subsequent evolution. These findings support optimization of SH-PEMFC limit power and voltage uniformity under dynamic conditions.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105380"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148995614","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}

引用次数: 0

Rapid screening approach to evaluate MEC performance for biohydrogen production using synthetic and real organic waste-derived substrates 利用合成和真实有机废物衍生基质评价MEC生物制氢性能的快速筛选方法

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-08-24 DOI: 10.1016/j.seta.2026.105351

Angela Marchetti, Francesco Valentino, Marco Gottardo, Marco Zeppilli

{"title":"Rapid screening approach to evaluate MEC performance for biohydrogen production using synthetic and real organic waste-derived substrates","authors":"Angela Marchetti, Francesco Valentino, Marco Gottardo, Marco Zeppilli","doi":"10.1016/j.seta.2026.105351","DOIUrl":"10.1016/j.seta.2026.105351","url":null,"abstract":"<div><div>In this study, a rapid screening strategy was developed to accelerate the identification of optimal operating conditions in dual-cathode microbial electrolysis cells (MECs) for hydrogen production from synthetic and real waste-derived substrates. The approach consisted of progressively increasing the hydraulic loading while evaluating system performance through current production, COD<sub>removal</sub> efficiency, hydrogen recovery, and electrochemical efficiencies, enabling rapid identification of operational boundaries and the onset of the performance plateau, guiding the selection of the most fitting operating regime for subsequent steady-state investigations. The real substrate, obtained from dark fermentation of food waste and sewage sludge, exhibited a high organic acid content (82% OA/CODsol) and a low redox potential (≈ −0.278 V vs SHE), confirming its suitability for bioelectrochemical conversion. The dual-cathode configuration achieved complete cathodic electron recovery into hydrogen (CCE ≈ 100%) demonstrating performance improvements, consistent with those expected from enhanced cathodic architecture. Finally, potentiostatic polarization further characterized the electrochemical response of the bioanode. Combined with the proposed screening methodology, these results provide a practical framework for rapidly assessing MEC performance and selecting promising operating conditions before more detailed long-term investigations and scale-up.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105351"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148855081","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}

引用次数: 0

Data-fitted power curve guided physics-informed wind power forecasting with zone-differentiated physical regularization 数据拟合的功率曲线引导带分化物理正则化的物理信息风电预测

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-03 DOI: 10.1016/j.seta.2026.105371

Xianfeng Xu, Junyang Wu, Kang Qiang, Xiaolan Cheng, Longjie Li, Liang Xuan

{"title":"Data-fitted power curve guided physics-informed wind power forecasting with zone-differentiated physical regularization","authors":"Xianfeng Xu, Junyang Wu, Kang Qiang, Xiaolan Cheng, Longjie Li, Liang Xuan","doi":"10.1016/j.seta.2026.105371","DOIUrl":"10.1016/j.seta.2026.105371","url":null,"abstract":"<div><div>High-confidence wind power forecasting is critical for power system operation and wind integration. Deep learning methods often fail to balance accuracy with physical consistency, as directly embedding physical constraints may overlook theoretical–measured discrepancies and uniform constraint intensities. To address these limitations, we propose a physics-informed forecasting method with a zone-differentiated physical regularization strategy. A high-fidelity physical reference is established by fitting the wind speed–power curve from measured data using hierarchical anomaly detection and segmented cubic polynomial regression. A composite loss function is accordingly designed, incorporating zone-specific penalty terms: stricter penalties are imposed on shutdown and full-load zones to minimize out-of-bound violations, while relaxed tolerance bands are adopted for the power-rising segment to accommodate inherent data variability and fitting errors. A Physics-Informed Bidirectional Long Short-Term Memory (PI-BiLSTM) model is constructed, embedding the physical benchmark into training via the zone-differentiated regularization loss to integrate data-driven learning with physical principles. Experiments on a public wind farm dataset show that the framework consistently improves multiple backbone networks, achieving up to approximately 7 % relative RMSE reduction. The PI-BiLSTM model exhibits superior performance across evaluation metrics and maintains strong robustness and generalization even under data-scarce conditions, and demonstrates promising cross‑wind‑farm generalization capability.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105371"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952600","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}

引用次数: 0

Solar hybrid sulphur cycle demonstration plant (Part A): Techno-economic assessment of solar thermal plant from the European Union-HySelect project 太阳能混合硫循环示范电厂(A)：欧盟- hyselect项目太阳能热电厂技术经济评价

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-08-31 DOI: 10.1016/j.seta.2026.105361

Y. Kadohiro, J.H.S. Martins, D. Dimitrakis, D. Thomey, N. Monnerie, C. Sattler, J. Michels, M. Kürten, M. Lanchi, R. Liberatore, L. Turchetti

{"title":"Solar hybrid sulphur cycle demonstration plant (Part A): Techno-economic assessment of solar thermal plant from the European Union-HySelect project","authors":"Y. Kadohiro, J.H.S. Martins, D. Dimitrakis, D. Thomey, N. Monnerie, C. Sattler, J. Michels, M. Kürten, M. Lanchi, R. Liberatore, L. Turchetti","doi":"10.1016/j.seta.2026.105361","DOIUrl":"10.1016/j.seta.2026.105361","url":null,"abstract":"<div><div>The Hybrid Sulphur (HyS) cycle is attracting interest for decarbonising the sulphuric acid industry by integrating concentrating solar thermal (CST) technologies with the high-temperature acid splitting process. Several energy and cost studies have been performed and significant European Union (EU)-funded research projects have been implemented so far to bridge the gap towards the commercialisation of the HyS concept. However, even the concept development at the demonstration plant scale has not yet been achieved. Within the EU-HySelect project, this study presents the first demonstration-scale techno-economic assessment of the HyS plant’s solar thermal and thermochemical subsystems, utilising a detailed component-level costing approach to advance the Technology Readiness Level. The specific energy of solar SO<sub>2</sub> production (at purity of 79.4 wt%, compressed at 1.3 MPa) and the total solar demonstration plant costs are calculated based on Aspen Plus at 15.62 MJ/kg (or 4.34 kWh/kg) and 3.4–6.1 million €<sub>2025</sub>, respectively. Unlike idealised models that ignore industrial constraints, this study aligns with practical standards to realistically assess implementation potential. It identifies critical bottlenecks in CST technology and the sulphuric acid splitting reactor, highlighting key pathways for scale-up. The reported cost estimates further establish a concrete baseline for future HyS research and industrial decarbonisation strategies.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105361"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952608","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}

引用次数: 0

A component-aware transfer learning framework for day-ahead probabilistic load forecasting in sustainable power systems 可持续电力系统日前概率负荷预测的组件感知迁移学习框架

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-09 DOI: 10.1016/j.seta.2026.105356

Wenliang Zhang, Jianzhou Wang, Xinjie Shi, Yuanshen Qian

{"title":"A component-aware transfer learning framework for day-ahead probabilistic load forecasting in sustainable power systems","authors":"Wenliang Zhang, Jianzhou Wang, Xinjie Shi, Yuanshen Qian","doi":"10.1016/j.seta.2026.105356","DOIUrl":"10.1016/j.seta.2026.105356","url":null,"abstract":"<div><div>The increasing penetration of renewable generation and the growing spatiotemporal heterogeneity of electricity demand make accurate day-ahead probabilistic load forecasting increasingly important for low-carbon dispatch, reliable grid operation, and sustainable energy management. In practice, however, forecasting models trained in one region or period often degrade when deployed in another, because load series exhibit component-level domain shifts, such as phase variations in seasonal patterns and amplitude changes in long-term trends. To address this challenge, this paper proposes a component-aware transfer learning framework for cross-domain probabilistic load forecasting. The proposed method first decomposes load sequences into seasonal and trend components to capture their distinct temporal characteristics. It then performs bi-domain feature interaction through cross-attention and applies differentiated distribution alignment to the decomposed components, using Maximum Mean Discrepancy for seasonal alignment and an attention-enhanced CORAL strategy for trend adaptation. A quantile regression head is further introduced to generate probabilistic forecasts for uncertainty-aware operation. Experiments on multi-region electricity demand data from the Australian National Electricity Market demonstrate that the proposed framework generally improves both point forecasting accuracy and probabilistic reliability under temporal and regional transfer settings. These results indicate its potential for data-efficient forecasting deployment in heterogeneous power systems and for supporting resilient and sustainable energy system operation.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105356"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952669","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}

引用次数: 0

Temperature-dependent degradation and mixed-waveform AC-bias recovery behavior in AgCu-Metallized HJT solar cells agcu金属化HJT太阳能电池的温度依赖性退化和混合波形交流偏置恢复行为

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-09-08 DOI: 10.1016/j.seta.2026.105375

Hasnain Yousuf, Alamgeer, Rafi ur Rahman, Mengmeng Chu, Maha Nur Aida, Hyejeong Jin, Muhammad Quddamah Khokhar, Junsin Yi

{"title":"Temperature-dependent degradation and mixed-waveform AC-bias recovery behavior in AgCu-Metallized HJT solar cells","authors":"Hasnain Yousuf, Alamgeer, Rafi ur Rahman, Mengmeng Chu, Maha Nur Aida, Hyejeong Jin, Muhammad Quddamah Khokhar, Junsin Yi","doi":"10.1016/j.seta.2026.105375","DOIUrl":"10.1016/j.seta.2026.105375","url":null,"abstract":"<div><div>Silicon heterojunction (HJT) solar cells require low-temperature metallization because their passivation layers are sensitive to excessive thermal exposure. This study evaluates the temperature-dependent electrical behavior, short-term temperature/light-induced degradation, and mixed-waveform AC-bias recovery of HJT cells metallized with a 60:40 AgCu conductive paste. The optimized cell exhibited<span><math><mrow><msub><mi>J</mi><mrow><mi>s</mi><mi>c</mi></mrow></msub></mrow></math></span> = 39.20 mA <span><math><mrow><msup><mrow><mi>c</mi><mi>m</mi></mrow><mrow><mo>-</mo><mn>2</mn></mrow></msup></mrow></math></span>, <span><math><mrow><msub><mi>V</mi><mrow><mi>o</mi><mi>c</mi></mrow></msub></mrow></math></span>= 0.742 V, FF = 77.35%, and <span><math><mrow><mi>η</mi></mrow></math></span> = 22.48%. From 25 to 85 °C, <span><math><mrow><msub><mi>J</mi><mrow><mi>s</mi><mi>c</mi></mrow></msub></mrow></math></span> increased slightly, whereas <span><math><mrow><msub><mi>V</mi><mrow><mi>o</mi><mi>c</mi></mrow></msub></mrow></math></span>, FF, and efficiency decreased, with temperature coefficients of + 0.0387, −0.217, −0.0591, and − 0.236% °C<sup>−1</sup>, respectively. After 48 h under 1-sun illumination at 85 °C, <span><math><mrow><msub><mi>J</mi><mrow><mi>s</mi><mi>c</mi></mrow></msub></mrow></math></span>, <span><math><mrow><msub><mi>V</mi><mrow><mi>o</mi><mi>c</mi></mrow></msub></mrow></math></span>, FF, and efficiency retained 95.55%, 98.55%, 95.65%, and 94.20% of their initial values. Following 36 h of mixed-waveform AC-bias treatment, the corresponding values recovered to 99.34%, 99.68%, 99.18%, and 99.20%. These results demonstrate substantial device-level electrical recovery; however, its microscopic origin requires contact-resistivity, lifetime, structural, chemical, and waveform-control measurements.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105375"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952671","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}

引用次数: 0

Network-aware menu pricing for electric vehicle charging and vehicle-to-grid dispatch under distribution constraints 基于网络感知的电动汽车充电菜单定价与配网调度

IF 7.4 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-09-01 Epub Date: 2026-08-24 DOI: 10.1016/j.seta.2026.105312

Lilia Tightiz, L. Minh Dang, Hyosik Yang

{"title":"Network-aware menu pricing for electric vehicle charging and vehicle-to-grid dispatch under distribution constraints","authors":"Lilia Tightiz, L. Minh Dang, Hyosik Yang","doi":"10.1016/j.seta.2026.105312","DOIUrl":"10.1016/j.seta.2026.105312","url":null,"abstract":"<div><div>An elasticity-aware menu pricing method is proposed for electric vehicle (EV) charge demand and vehicle-to-grid (V2G) dispatch under stochastic demand and feeder constraints. User response, state of charge (SoC)-constrained V2G dispatch, and feeder limits are represented in one optimization model. Price elasticity parameters are estimated from observed EV charge data through a discrete choice model and are used in the joint tariff and dispatch formulation. The large-scale quadratic unconstrained binary optimization (QUBO) model is solved by classical decomposition and mixed-integer quadratic programming (MIQP) refinement. Jeju Island EV station profiles are assigned to the Korea Electric Power Corporation (KEPCO) Active Distribution Test System (KADTS) benchmark feeder through a proportional station-to-node rule. This rule is used as a surrogate because actual feeder geographic information system (GIS) data, telemetry, and station connectivity are unavailable. The actual Jeju feeder and a complete urban transport network (UTN) model are not represented. Feeder values are obtained from LinDistFlow and are interpreted as benchmark-based estimates. Under these assumptions, maximum line loading is limited to 94.3%, SoC-feasible V2G dispatch is retained, and social welfare is increased by 12.8% with stable operator revenue. Mean runtime is reduced by more than 50% relative to the classical MIQP baseline. The maximum objective error due to the five-bit discretization is 0.42% across the 30 daily instances. The value of joint behavioral and feeder-aware tariff design is demonstrated under the adopted benchmark conditions.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"93 ","pages":"Article 105312"},"PeriodicalIF":7.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148855074","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}

引用次数: 0