Sustainable Energy Technologies and Assessments最新文献

{"title":"Multi-period natural gas pipeline scheduling optimisation integrated with LNG cold energy cascade utilisation","authors":"Wen Zhao ,&nbsp;Bohong Wang ,&nbsp;Yunzhong Bei ,&nbsp;Long Peng ,&nbsp;Hengcong Tao ,&nbsp;Petar Sabev Varbanov ,&nbsp;Ferenc Friedler","doi":"10.1016/j.seta.2025.104577","DOIUrl":"10.1016/j.seta.2025.104577","url":null,"abstract":"<div><div>Liquefied Natural Gas (LNG), as a vital form of natural gas resources, has exhibited a steadily increasing trend in global production and trade volumes. LNG terminals are facing the challenge of how to recover and utilise cold energy in a safe and efficient regasification process, while coordinating with the natural gas pipeline network transport scheduling. This study proposes an integrated regulation and collaborative optimisation approach for natural gas pipeline networks and LNG cold energy cascade utilisation systems. For natural gas pipeline network systems, P-Graph develops multi-period gas-electric interconnected supply chain network to optimise resource allocation. For the LNG cold energy cascade utilisation system, a dual Organic Rankine Cycle (ORC) framework for both power generation and refrigeration is developed, as well as thermodynamic analysis and heat integration techniques are applied to optimise system efficiency. Using a coastal LNG terminal in Zhejiang, China, as a case study, when the LNG regasification flow rate is 62.46 t/h, cold energy generates electricity of 2,335.94 kW and air-conditioning cooling load of 1,651.5 kW, system efficiency reaches 44.75 %. The peak regulation and gas storage effect of LNG is significant, which helps to alleviate that energy shortage in the region, and the coupled system of LNG and natural gas pipeline network improves energy utilisation efficiency and economic benefits for LNG industry chain.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104577"},"PeriodicalIF":7.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159890","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":"From solar to storage: Case study for assessing massive use of small-scale lithium-ion batteries in residential sector","authors":"Carlos Vargas-Salgado,&nbsp;David Alfonso-Solar,&nbsp;Tomás Gómez-Navarro,&nbsp;Dácil Díaz-Bello,&nbsp;Carla Montagud Montalvá","doi":"10.1016/j.seta.2025.104602","DOIUrl":"10.1016/j.seta.2025.104602","url":null,"abstract":"<div><div>Urban photovoltaic (PV) systems enhance energy production. Still, widespread adoption can lead to fluctuations in energy prices (at different seasons and times), which drop during sunny periods and rise when solar power is unavailable. Nevertheless, using energy storage systems does not necessarily depend on the costs. Still, because of the random nature of primary (solar) energy, storage is required for PV generation systems to become an alternative solution to classic generation systems. While integrating energy storage systems can mitigate these fluctuations and enhance system reliability, high investment costs often challenge their implementation. The economic viability of battery systems in urban areas, including the residential sector, deviates from the trend observed in photovoltaic systems. This discrepancy can be attributed to the generally unprofitable nature of such systems from an economic standpoint. This study provides a methodology for assessing the use of massive lithium-ion battery systems in the residential sector. The methodology is applied to Valencia City but adaptable to other locations, employing tools such PVGIS to obtain the energy demand of the city, HOMER to carry out the economic analysis, PVGIs to estimate the solar resources, and QGis to estimate the available rooftop.</div><div>The results reveal that Valencia’s residential rooftops offer 392  MW of PV and 469 MWh of storage potential, covering 66 % of demand. Mid-rise buildings (5–8 floors) dominate capacity, while low-rise buildings (2–3 floors) achieve 95 % energy self-sufficiency. High-rise buildings cover only 36 %. Payback periods range from 4–14 years, with IRRs of 17–23 %. LCOE varies from 13 to 25 c€/kWh, with low-rise and high-rise buildings facing higher costs due to scale and space limitations.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104602"},"PeriodicalIF":7.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159938","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":"Self-powered and self-sensing intelligent suspension for application in heavy-haul trains","authors":"Kai Zhang ,&nbsp;Juhuang Song ,&nbsp;Jinyan Feng ,&nbsp;Mansour Abdelrahman ,&nbsp;Can Hu ,&nbsp;Lingfei Qi","doi":"10.1016/j.seta.2025.104600","DOIUrl":"10.1016/j.seta.2025.104600","url":null,"abstract":"<div><div>Energy issues have long been a key focus worldwide, particularly in the transportation sector, where energy consumption is substantial. This paper proposes a self-powered and self-sensing intelligent suspension (SSIS) based on energy harvesting, which captures low vibrational frequency and amplitude to address the power supply issue of heavy-haul train carriages and enable an onboard train condition monitoring system. The SSIS consists of three modules: a suspension vibration input module, a transmission module, and a generator module, and it generates electrical energy through an electromagnetic generator (EMG). The system was developed in MATLAB to study the mechanical characteristics and energy harvesting performance. Additionally, Simpack software was used to establish a coupled dynamics model of the vehicle-track-suspension system, allowing for the study of vibration and energy harvesting characteristics. Moreover, laboratory and field tests confirm that SSIS can effectively provide continuous power to LED lights and sensors. In field tests, the proposed system achieved a maximum voltage of 23.4 V, charging three parallel 10,000 μF capacitors within 45 s, then maintaining an output voltage above 3 V. Furthermore, the paper introduces the Long Short-Term Memory (LSTM) deep learning to enable intelligent monitoring of train operational conditions by analyzing and classifying the EMG voltage signal, with an accuracy rate of 95.06 %. Therefore, this paper presents an innovative and practical power supply solution, featuring a power density of 4,192.84 W/m³ and intelligent monitoring in heavy-haul trains, with considerable potential for future applications.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104600"},"PeriodicalIF":7.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159940","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":"NICE k metrics: Unified and multidimensional framework for evaluating deterministic solar forecasting accuracy","authors":"Cyril Voyant ,&nbsp;Milan Despotovic ,&nbsp;Luis Garcia-Gutierrez ,&nbsp;Rodrigo Amaro e Silva ,&nbsp;Philippe Lauret ,&nbsp;Ted Soubdhan ,&nbsp;Nadjem Bailek","doi":"10.1016/j.seta.2025.104588","DOIUrl":"10.1016/j.seta.2025.104588","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Accurate solar energy output prediction is key to grid stability and efficient energy management. However, conventional error metrics (such as Root Mean Squared Error (&lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mi&gt;M&lt;/mi&gt;&lt;mi&gt;S&lt;/mi&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt;), Mean Absolute Error (&lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;mi&gt;M&lt;/mi&gt;&lt;mi&gt;A&lt;/mi&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt;), coefficient of determination (&lt;span&gt;&lt;math&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mstyle&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/mstyle&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/span&gt;) and Skill Scores (&lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;mi&gt;S&lt;/mi&gt;&lt;mi&gt;S&lt;/mi&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt;)) fail to capture the multidimensional complexity of solar irradiance forecasting. They lack forecastability sensitivity, depend on arbitrary baselines (&lt;em&gt;e.g.&lt;/em&gt;, clear-sky models) or adapt poorly to operational needs. To address these limitations, this study introduces &lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;I&lt;/mi&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt; (Normalized Informed Comparison of Errors, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;Σ&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;), a robust, flexible, and multidimensional evaluation framework. Each score is tied to an &lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;L&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt; norm: &lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;I&lt;/mi&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;1&lt;/mi&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt; targets average errors, &lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;I&lt;/mi&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;2&lt;/mi&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt; emphasizes large deviations, &lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;I&lt;/mi&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;3&lt;/mi&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt; amplifies outliers, and &lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;I&lt;/mi&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;Σ&lt;/mi&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt; aggregates all contributions. Validation relied on synthetic &lt;span&gt;Monte Carlo&lt;/span&gt; trials and real data from Spain &lt;span&gt;SIAR&lt;/span&gt; network (68 stations across diverse climates). Benchmark models include autoregressive methods, Extreme Learning, and smart persistence, covering both linear and machine learning strategies. Theoretical &lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;I&lt;/mi&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt; metrics matched empirical values only under strict assumptions (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mstyle&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/mstyle&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;mo&gt;∼&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; for &lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;I&lt;/mi&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;2&lt;/mi&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt;). In contrast, &lt;span&gt;&lt;math&gt;&lt;mstyle&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;I&lt;/mi&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;E&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;Σ&lt;/mi&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mstyle&gt;&lt;/math&gt;&lt;/span&gt; consistently outperformed conventional metrics in discriminative power (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;mo&gt;&","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104588"},"PeriodicalIF":7.0,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121164","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 green fiscal policy on collaborative management of energy conservation and emission reduction","authors":"Shenghao Bi ,&nbsp;Bingqing Liang ,&nbsp;Jing Li ,&nbsp;Zhenjun Yan ,&nbsp;Andrea Appolloni","doi":"10.1016/j.seta.2025.104587","DOIUrl":"10.1016/j.seta.2025.104587","url":null,"abstract":"<div><div>The collaborative management of energy conservation and emission reduction (CMECER) can not only cut down energy costs and enhance energy security, but also effectively reduce pollutant emissions and safeguard the environment. In light of this, this study utilizes 278 Chinese cities’ data during 2007–2021 to analyze the impact of “National Energy Saving and Emission Reduction Comprehensive Demonstration Fiscal Policy” (ESERF Policy) with green fiscal at its core on CMECER. This study indicates ESERF policy can remarkably promote CMECER. The policy effect is achieved through enhancing green technology innovation and advancing industrial structure upgrading. Additionally, this policy exhibits a particularly significant effect when implemented in high economic development, high urbanization, and low CMECER cities. Simultaneously, when the policy is implemented in conjunction with innovation policy and information infrastructure policy, it is more beneficial for promoting CMECER. Moreover, this study proposes policy recommendations of reference value from three key aspects: enhancing the policy supervision and evaluation system, optimizing the mechanism system, and building a collaborative implementation cooperation framework.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104587"},"PeriodicalIF":7.0,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159939","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":"Integrated adequacy and stability BESS sizing criteria for hybrid diesel–PV microgrids in developing countries","authors":"Corrado Maria Caminiti ,&nbsp;Matteo Spiller ,&nbsp;Aleksandar Dimovski ,&nbsp;Jacopo Barbieri ,&nbsp;Enrico Ragaini ,&nbsp;Marco Merlo","doi":"10.1016/j.seta.2025.104541","DOIUrl":"10.1016/j.seta.2025.104541","url":null,"abstract":"<div><div>In rural areas of developing countries, microgrids paired with energy storage offer a reliable, decentralized solution to electrification, enabling the continuous supply of power and the integration of renewable energy sources despite fluctuations in generation during peak demand. The present work proposes a novel, real-life measurement-based, holistic methodology to support multipurpose battery sizing in grid-connected microgrids, including adequacy and stability considerations within a single sizing process. In terms of energy, a numerical sizing procedure is applied to a yearly, hourly discretized load demand profile for primary energy. Subsequently, the system’s dynamic response characterization relies on a multi-offspring genetic algorithm to tune a high-fidelity governor. A transient stability analysis is performed to determine the additional power required to ensure stable service provision. The proposed procedure is applied to the microgrid of St. Mary’s Hospital Lacor in Uganda, addressing the challenges of grid instability and the need for curtailment in PV-based systems in a real-life scenario. The final sizing analysis showed that a limited size battery is effective in reducing yearly curtailment by 42.9%, limiting frequency peak-to-peak fluctuations by 64.1%.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104541"},"PeriodicalIF":7.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121051","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":"WaveGRU: A framework with frequency-domain spatial attention for accurate solar PV and wind power forecasting","authors":"Jian Yang,&nbsp;Mingbo Niu","doi":"10.1016/j.seta.2025.104572","DOIUrl":"10.1016/j.seta.2025.104572","url":null,"abstract":"<div><div>Accurate solar and wind energy forecasts are essential for efficient power production, transmission, storage, and distribution to ensure the stability and reliability of the power system. With the rapid development of Artificial Intelligence (AI) and Internet of Things (IoT) technologies, their potential in renewable energy generation forecasting is becoming increasingly evident. This technological trend provides a new direction for electric energy management research, prompting scholars to actively explore wind and photovoltaic (PV) power prediction methods based on AI and IoT technologies. Previous work has focused on time-domain characterization, which cannot capture intertemporal trends and cyclical features. To address this problem, this paper introduces a wavelet learning framework for modeling complex temporal dependencies in time series data. The wavelet domain integrates time and frequency data, allowing local features of the series to be analyzed at different scales. The framework uses a bidirectional gated recursive unit (BiGRU) to mine long-term dependencies between features. However, mapping time series to the wavelet domain introduces redundant features. Therefore, we propose the frequency-domain spatial attention module (FSA), which adaptively adjusts the feature weights to help the framework pay more attention to the most important features, thus improving the model. This paper uses a cross-corroboration training method customized for time series segmentation to forecast solar PV accurately and wind power generation. We conducted experiments on various time series segmentations (1 to 60 min), and the results show that our proposed model outperforms the compared GRU, LSTM, Transformer, and DLinear methods by reducing the MSE metrics by 69.24%, 68.87%, 69.13%, and 68.32%, respectively.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104572"},"PeriodicalIF":7.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121050","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":"Diffusion of CCUS technology under dual drivers: Regulatory pressure and carbon source investments","authors":"Bei Li ,&nbsp;Yuanming Li ,&nbsp;Shuangxing Liu ,&nbsp;Ming Xue ,&nbsp;Xingchun Li ,&nbsp;Peng Wu","doi":"10.1016/j.seta.2025.104579","DOIUrl":"10.1016/j.seta.2025.104579","url":null,"abstract":"<div><div>Carbon Capture, Utilization, and Storage (CCUS) technology is vital for achieving carbon neutrality. Its diffusion is shaped by government regulation and the adoption willingness of coal-fired power plants. However, weak regulation and insufficient economic incentives limit large-scale deployment, and the diffusion mechanisms remain unclear. This study constructs an evolutionary game-SEIR model integrating government, carbon source, and carbon sink enterprises, combining epidemic dynamics and evolutionary game theory. First, we build an evolutionary game model to analyze the interactions between government regulation and coal-fired power plants’ emission reduction strategies. Second, we use an SEIR model to quantify how equilibrium outcomes influence CCUS diffusion among enterprises. Finally, we simulate four typical scenarios. Results show: (1) Under dual cost constraints, both government regulation and emission reduction strategies exhibit negative convergence, with passive tax payment probability reaching 68.7%. (2) The system’s evolution depends strongly on initial conditions, and government intervention must meet critical thresholds; simulations indicate that when the carbon price exceeds 420 RMB/ton, diffusion rates increase by 3.2 times. (3) Under single regulation, technology adoption is 17.3%, while combined regulation-incentive policies raise adoption to 82.6%. This study offers new theoretical insights and policy recommendations for balancing energy security and carbon emission reduction.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104579"},"PeriodicalIF":7.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy transition in high-altitude regions: The role of hybrid CSP-PV plants","authors":"Yang Wang ,&nbsp;Zhiwen Guan ,&nbsp;Lingxiang Yao ,&nbsp;Shuyu Luo ,&nbsp;Boqi Zhang ,&nbsp;Xianyong Xiao","doi":"10.1016/j.seta.2025.104591","DOIUrl":"10.1016/j.seta.2025.104591","url":null,"abstract":"<div><div>High-altitude regions, despite rich resources, face energy shortages and limited economic development due to geographical isolation, severe environmental conditions, and insufficient infrastructure, emphasising the need for flexible clean energy solutions. Hybrid concentrated solar power (CSP) and photovoltaic (PV) systems, known for clean energy attributes and robust grid-support capabilities, have emerged as a viable and cost-effective solution. However, comprehensive analyses evaluating their potential benefits across various scenarios are scarce, complicating project positioning and energy policy decisions. This study introduces an integrated evaluation framework for high-altitude regions, enabling comparative assessments of hybrid CSP-PV systems across four scenarios: electricity production, combined heat and electricity generation, power supply for mining operations, and hydrogen production. The proposed approach integrates geographic information system (GIS)-based analytic hierarchy processes with cost-benefit analyses, including levelized cost of energy and net present value methods, to determine spatial suitability, economic feasibility, and greenhouse gas reduction potential. Additionally, a novel TOPSIS-based method evaluates multi-scenario development pathways. To illustrate the framework’s applicability in addressing regional energy challenges, Tibet is analysed as a representative case study. Results indicate more than 25,000 km2 in Tibet is suitable for hybrid CSP-PV installations, with more than 20 % being geographically appropriate and economically viable. Future projections suggest a 30.8 % growth in electricity exports within five years, potentially supplying heating to over 250 thousand residents and boosting industries like mining and hydrogen production, generating annual economic benefits over 6.64 billion CNY. These developments will substantially promote Tibet’s sustainable energy transition and regional economic progress.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104591"},"PeriodicalIF":7.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098255","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":"Elucidating the rib-channel effect on the two-phase flow evolution and performance of proton exchange membrane electrolysis cell","authors":"Weikun Du ,&nbsp;Jiawei Kang ,&nbsp;Bowen Wang ,&nbsp;Yanlin Ren ,&nbsp;Kui Jiao ,&nbsp;Zhiming Wang ,&nbsp;Zhiming Bao ,&nbsp;Linhao Fan ,&nbsp;Bin Li ,&nbsp;Ye Li ,&nbsp;Shengchun Liu","doi":"10.1016/j.seta.2025.104558","DOIUrl":"10.1016/j.seta.2025.104558","url":null,"abstract":"<div><div>Two-phase flow transport at proton exchange membrane electrolysis cell (PEMEC) anode is influenced by flow field design. This study combined optical visualization, machine learning-driven bubble detection and electrochemical diagnose to quantify bubble coverage evolution and PEMEC two-phase flow patterns. Model is based on YOLOV8, with F1-score approximately 0.95, capturing most bubbles. Bubble coverage increases with current density, at 2.5 A cm⁻², bubbles converge into annular flows, covering 49.70 % flow field and causing rapid mass transfer loss. Increasing water supply flow rate from 10 to 100 mL min⁻¹ reduces 33.66 % bubble coverage and approximately 16 mV mass transfer overpotential, whereas adjusting temperature has little effect. Bubbles form more at rib edges than channel middles, hindering discharge in rib regions. Adjusting rib-channel ratio and flow channel width reduces bubble blockage from their functional differences. Larger ribs reduce ohmic loss but excessive size increases mass transfer loss. Under 3 A cm⁻², 2.0 mm:2.0 mm flow field performs best. With fixed 1.0 rib-channel ratio, electrolysis voltage for 1.0 mm width is approximately 85 mV lower than 3.0 mm width, while 1.5 mm width presents optimal choice. This study provides a quantitative two-phase flow evolution method and design criteria for high-performance PEMEC, aiming green hydrogen production.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104558"},"PeriodicalIF":7.0,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098223","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}