Renewable Energy最新文献_第7页

A study on long-term operation and performance loss rates of various PV technologies in eastern Poland 波兰东部各种光伏技术的长期运行和性能损失率研究

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-30 DOI: 10.1016/j.renene.2025.124548

Slawomir Gulkowski , José Vicente Muñoz Díez , Jorge Aguilera Tejero , Piotr Dragan , Gustavo Nofuentes

{"title":"A study on long-term operation and performance loss rates of various PV technologies in eastern Poland","authors":"Slawomir Gulkowski , José Vicente Muñoz Díez , Jorge Aguilera Tejero , Piotr Dragan , Gustavo Nofuentes","doi":"10.1016/j.renene.2025.124548","DOIUrl":"10.1016/j.renene.2025.124548","url":null,"abstract":"<div><div>Despite Poland's rapid PV deployment, long-term system performance studies are virtually nonexistent. This paper analyzes the four-year performance of four small PV systems in Bordziłówka, eastern Poland, each using a different technology: polycrystalline silicon (pc-Si), amorphous silicon (a-Si), cadmium telluride (CdTe), and copper indium gallium selenide (CIGS). The analysis focuses on energy yields, yield losses, performance metrics and performance loss rates (<em>PLR</em>, in %·y<sup>−1</sup>), the latter calculated via Classical Series Decomposition and Year-on-Year methods. Pc-Si outperformed the others, with an average annual yield 2 % higher than CIGS and 25–60 % higher than a-Si and CdTe. Performance ratio (PR) values ranged from 0.88 to 0.85 for pc-Si and 0.87–0.82 for CIGS, while a-Si and CdTe showed lower PR (0.66–0.63 and 0.46–0.26, respectively). CdTe exhibited the highest degradation with <em>PLR</em> of −15.2 ± 4.45 %·y<sup>−1</sup> (YoY), contrasting with pc-Si's <em>PLR</em> −0.67 ± 0.89 %·y<sup>−1</sup> (YoY), which aligns with warranty standards and global literature.</div><div>Although based on a limited sample, the results offer valuable insights for PV deployment not only for Poland, but for cold-temperate climates, with relevance to Eastern Europe, Central Asia, and northern North America. The study highlights the importance of long-term, region-specific monitoring to guide technology selection and energy policy.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124548"},"PeriodicalIF":9.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Modified deep reinforcement learning for frequency regulation in active distribution systems with soft open points, storage units and electric vehicles 基于改进深度强化学习的带软开点、存储单元和电动汽车的有源配电系统频率调节

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-30 DOI: 10.1016/j.renene.2025.124537

Ahmed M. Taher , Shady H.E. Abdel Aleem , Saad F. Al-Gahtani , Ziad M. Ali , Hany M. Hasanien

{"title":"Modified deep reinforcement learning for frequency regulation in active distribution systems with soft open points, storage units and electric vehicles","authors":"Ahmed M. Taher , Shady H.E. Abdel Aleem , Saad F. Al-Gahtani , Ziad M. Ali , Hany M. Hasanien","doi":"10.1016/j.renene.2025.124537","DOIUrl":"10.1016/j.renene.2025.124537","url":null,"abstract":"<div><div>As an effective approach to achieving the smart grid concept and reducing carbon emissions, the integration of renewable energy sources and storage devices is increasing. However, with the growing demand for high-power charging, the electrical grid faces significant challenges as electric vehicle (EV) adoption rises, particularly in the presence of stochastic energy sources. Consequently, the need for robust regulation strategies to manage distribution system uncertainties, especially in frequency regulation, is becoming more critical. Distribution systems, interconnected through multi-terminal soft open points (SOPs), are evolving into highly controllable, integrated, and flexible architectures. Performance is further enhanced by incorporating a dedicated terminal for hybrid hydrogen energy storage. Additionally, the integration of vehicle-to-grid (V2G) and grid-to-vehicle (G2V) operations has been explored. To effectively manage these operational frameworks, a modified deep reinforcement learning (RL) strategy based on the deep deterministic policy gradient (DDPG) algorithm is proposed. Multi-agent deep RL is employed, generating multiple control signals per agent based on reward functions derived from a quadratic optimization function within the model predictive control (MPC) framework. To ensure an optimal control action waveform and enhance system performance, each DDPG deep RL agent's control action value is scaled by its observation value, integral, and derivative, integrated through a filter element. When applying the proposed modified deep RL strategy alongside the components, the rate of frequency change and power transfer fluctuations achieved minimal steady-state errors in the range of × 10<sup>−8</sup>, with significantly damped overshoot and undershoot levels. This approach effectively maintains system performance, outperforming other simulated scenarios.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124537"},"PeriodicalIF":9.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Exploring the impact of non-similar collectors in advanced solar network design 探讨非相似集热器在先进太阳能网络设计中的影响

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-30 DOI: 10.1016/j.renene.2025.124486

Hassan Hajabdollahi , Farzaneh Hajabdollahi , Amin Saleh

{"title":"Exploring the impact of non-similar collectors in advanced solar network design","authors":"Hassan Hajabdollahi , Farzaneh Hajabdollahi , Amin Saleh","doi":"10.1016/j.renene.2025.124486","DOIUrl":"10.1016/j.renene.2025.124486","url":null,"abstract":"<div><div>In this paper, a solar network considering flat plate collector (FPC) is optimized considering both efficiency and annual cost as objective functions. Two distinct scenarios are explored: a similar case and a non-similar case, allowing for the selection of collectors with different parameters. The study investigates three cases involving 2–4 collectors in the network, leading to the consideration of 6 design parameters including mass flow rate, number and diameter of tubes, collector length and width, as well as insulator thickness, in the similar case and 12–24 design parameters in the non-similar case. The optimization results revealed that, for all studied examples, the results from the similar case were consistently outperformed by those from the non-similar case. The maximum efficiency improved by 1.63 %–1.94 % in the non-similar case as compared with the similar case. The annual cost is improved by 1.24 %–2.62 % in the final optimum solution. For example, the maximum efficiency increases from 0.7068 in the similar FPC case to 0.7183 in the non-similar configuration for two collectors. The mentioned values were respectively 0.7195 and 0.7333 in the four collectors. These improvements offer real-world benefits, including higher energy yield and lower operating costs—key to accelerating solar adoption.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124486"},"PeriodicalIF":9.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Optimization strategy for green wind energy storage systems based on natural resources and enterprise load 基于自然资源和企业负荷的绿色风能储能系统优化策略

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-30 DOI: 10.1016/j.renene.2025.124545

Jingwen Dong, Yibai Wang, Yang Jing, Jiaming Shi, Mengfan Chen, Zhi Liu, Na Sun, Hui Huang, Jie Ji

{"title":"Optimization strategy for green wind energy storage systems based on natural resources and enterprise load","authors":"Jingwen Dong, Yibai Wang, Yang Jing, Jiaming Shi, Mengfan Chen, Zhi Liu, Na Sun, Hui Huang, Jie Ji","doi":"10.1016/j.renene.2025.124545","DOIUrl":"10.1016/j.renene.2025.124545","url":null,"abstract":"<div><div>This study employs a hybrid NRBO-ICEEMDAN algorithm (combining Newton-Raphson Based Optimization and Improved Complete Ensemble Empirical Mode Decomposition) to optimize wind-storage strategies for enterprise energy systems, achieving significant cost reductions and profit growth. The results show that under the optimization model of maximum load matching rate, cost, and benefit, the cost of wind energy equipment accounts for 61.31 % of the total cost and the electricity sales revenue is 74.6434 million yuan under the operation of a single wind energy equipment. The proportion of peak shaving, valley filling, and carbon reduction benefits is not high; Under the operation of a single energy storage system, the cost of energy storage equipment accounts for 39.27 % of the total cost, with a revenue of 12.5991 million yuan, highly concentrated on the peak shaving and valley filling functions of the energy storage system. Considering the overall operation, the total cost accounts for 83.7 % and the revenue is as high as 114655500 yuan, which improves the comprehensive efficiency of the energy system. At the same time, with the increase of operation time, the expansion and maintenance investment of wind energy equipment and energy storage equipment, the comprehensive operation strategy benefits are more considerable. Research has shown that the optimization strategy of green energy wind energy storage plays a decisive role in reducing total costs and increasing benefits. This study provides a new methodology and decision support for optimizing green energy wind energy storage strategies for natural resources and enterprise loads, emphasizing the importance of comprehensive consideration of economic and environmental goals.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124545"},"PeriodicalIF":9.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145262841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Spatiotemporal solar radiation forecasting driven by satellite-based and reanalysis data for distributed PV integration using fully-convolutional neural network 基于全卷积神经网络的分布式光伏一体化卫星再分析数据驱动的太阳辐射时空预报

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-30 DOI: 10.1016/j.renene.2025.124556

Zhaohui Ruan , Lang Wu , Hongrong Shi , Meiqin Ni , Menghui Zhang , Weijun Zhu , Chunlin Huang , Jiamin Chen

{"title":"Spatiotemporal solar radiation forecasting driven by satellite-based and reanalysis data for distributed PV integration using fully-convolutional neural network","authors":"Zhaohui Ruan , Lang Wu , Hongrong Shi , Meiqin Ni , Menghui Zhang , Weijun Zhu , Chunlin Huang , Jiamin Chen","doi":"10.1016/j.renene.2025.124556","DOIUrl":"10.1016/j.renene.2025.124556","url":null,"abstract":"<div><div>Accurately forecasting solar radiation makes great difference to reducing solar photovoltaic curtailment rate and improving energy management and scheduling performance on microgrids and virtual power plants. Inspired by the extraordinary capability of deep neural network in dealing with non-linear features, in this work, a fully convolutional model named Res-MRE-UNet is proposed for spatiotemporal solar radiation forecasting where classical U-Net is employed as backbone. To validate the forecasting performance of Res-MRE-UNet, the spatiotemporal solar radiation forecasting issues in northwest of China are taken as example, and the results show that Res-MRE-UNet is of high stability and accuracy in solar radiation forecasting with RMSE reaching 23.96 W/m<sup>2</sup>, 32.18 W/m<sup>2</sup> and 43.46 W/m<sup>2</sup> for 1 h, 3 h, and 6 h ahead forecasting cases, respectively. The difference caused by data source type to the solar radiation forecasting performance is also investigated, on which basis a method for improving the forecasting performance when using satellite-based remote sensing data is proposed. Besides, the solar photovoltaic solar-to-electricity conversion is also considered along with solar radiation forecasting, with which PV generation output forecasting is achieved to provide strong support on improving energy management and control performance of microgrids and virtual power plants.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124556"},"PeriodicalIF":9.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145262826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Renewable energy technology innovation and energy security: the role of institutional environment 可再生能源技术创新与能源安全：制度环境的作用

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-30 DOI: 10.1016/j.renene.2025.124552

Xinmin Zhang , Hong Zang , Lue Li , Miao Wang

{"title":"Renewable energy technology innovation and energy security: the role of institutional environment","authors":"Xinmin Zhang , Hong Zang , Lue Li , Miao Wang","doi":"10.1016/j.renene.2025.124552","DOIUrl":"10.1016/j.renene.2025.124552","url":null,"abstract":"<div><div>This study empirically examines the impact of renewable energy technology innovation (RETI) on energy security using panel data from 45 countries spanning 2000–2022. Key results indicate that: (i) RETI has a significant positive impact on national energy security levels, with each unit increase in RETI improving energy security by 1.15 %, remaining robust across multiple sensitivity tests. (ii) The institutional environment plays a crucial moderating role in how RETI enhances energy security, with social inclusiveness showing the strongest moderating effect. (iii) Quantile regression reveals that countries with higher energy security benefit more from RETI, with marginal effects increasing from 2.0 % at lower quantiles to 3.2 % at higher quantiles. (iv) Heterogeneity analysis indicates that developed countries derive more substantial RETI benefits compared to developing countries, while different types of renewable energy technology innovations show similar positive effects on energy security. The findings of this study reveal the interactive mechanisms between RETI and energy security, providing important implications for formulating differentiated technological innovation policies.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124552"},"PeriodicalIF":9.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145262696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Metasurface of fluid mechanics for efficient turbulence drag reduction 流体力学的超表面有效湍流阻力减少

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-30 DOI: 10.1016/j.renene.2025.124555

Zhaoyang Ou , Zidan Zhou , Zhao Zhang, Shengkun Wang, Yang He, Weizheng Yuan

{"title":"Metasurface of fluid mechanics for efficient turbulence drag reduction","authors":"Zhaoyang Ou , Zidan Zhou , Zhao Zhang, Shengkun Wang, Yang He, Weizheng Yuan","doi":"10.1016/j.renene.2025.124555","DOIUrl":"10.1016/j.renene.2025.124555","url":null,"abstract":"<div><div>Drag reduction is crucial for improving aerodynamic efficiency and enhancing energy conversion, such as wind turbines. Riblets inspired by shark skin are a promising approach in drag reduction technology. In this work, further inspired by the typical wind-eroded landform yardangs in nature, a novel passive metasurface of fluid mechanics, composed of low-high-low riblets (LHLRs), was proposed to achieve enhanced drag reduction performance. The aerodynamic drag reduction performance of LHLRs is validated by comparing them with skin-inspired riblets using a flow channel with an adjustable surface yaw angle. The surface turbulent flow characteristics are obtained via direct numerical simulation, then turbulence motion analysis explains the improved drag reduction performance of LHLRs. The results indicate that the drag reduction performance of the LHLRs is improved by 91.6 % compared to the shark skin-inspired riblets, and its robustness to wind yaw angles increases from 30°to at least 45°. Turbulence motion analysis reveals that LHLRs can weaken the transport of internal turbulence, further suppress turbulence penetration, and delay the formation of secondary vortices near the wall, thereby reducing dispersive stress and enhancing drag reduction performance. Moreover, the equivalent turbulence-free region between the primary and secondary riblets of LHLRs optimizes the near-wall turbulence distribution, leading to a modification of the optimal non-dimensional square root of the groove cross-section <span><math><mrow><msubsup><mi>l</mi><mi>g</mi><mo>+</mo></msubsup></mrow></math></span> in the riblets drag-change curve.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124555"},"PeriodicalIF":9.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145262313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Advanced H∞ control approach for MPPT in photovoltaic systems using descriptor T-S fuzzy modeling 基于描述子T-S模糊建模的光伏系统MPPT先进H∞控制方法

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-30 DOI: 10.1016/j.renene.2025.124541

Abdeljabar Aboulkassim, Said Kririm, Rachid Boutssaid, El Hanafi Arjdal

{"title":"Advanced H∞ control approach for MPPT in photovoltaic systems using descriptor T-S fuzzy modeling","authors":"Abdeljabar Aboulkassim, Said Kririm, Rachid Boutssaid, El Hanafi Arjdal","doi":"10.1016/j.renene.2025.124541","DOIUrl":"10.1016/j.renene.2025.124541","url":null,"abstract":"<div><div>This study investigates a novel Descriptor Takagi-Sugeno Fuzzy (DTSF) control approach for maximum power point tracking (MPPT) in photovoltaic (PV) systems under variable climatic conditions, including partial shading. The DTSF method is formulated using descriptor fuzzy modeling combined with the Lyapunov stability theory, ensuring <em>H</em>∞ performance through the resolution of linear matrix inequalities (LMIs). A key aspect of this approach lies in the precise regulation of the duty cycle, a parameter constrained between 0 and 1, which directly influences the output voltage of the DC-DC Boost converter. The DTSF controller is thus designed to dynamically adjust this duty cycle, enabling the system to reach and maintain the maximum power point with robustness and stability, even under disturbed conditions. To evaluate the effectiveness of the proposed DTSF approach, a comparative analysis is conducted against three established MPPT techniques: classical Perturb and Observe (P&O), Incremental Conductance (InCond), and standard Takagi-Sugeno Fuzzy (TSF) controllers. Simulation results demonstrate that the DTSF method achieves superior performance in terms of tracking accuracy, dynamic response, and robustness against irradiance fluctuations, temperature variations, and partial shading conditions, positioning it as a highly reliable solution for efficient MPPT in real-world PV applications.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124541"},"PeriodicalIF":9.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145262091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

The effects of sky diffuse light on indoor illuminance through radiosity models: a case study in Burgos 通过辐射度模型研究天空漫射光对室内照度的影响：以布尔戈斯为例

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-30 DOI: 10.1016/j.renene.2025.124453

Diego Granados-López , Manuel García-Fuente , David González-Peña , Ignacio García , Cristina Alonso-Tristán

{"title":"The effects of sky diffuse light on indoor illuminance through radiosity models: a case study in Burgos","authors":"Diego Granados-López , Manuel García-Fuente , David González-Peña , Ignacio García , Cristina Alonso-Tristán","doi":"10.1016/j.renene.2025.124453","DOIUrl":"10.1016/j.renene.2025.124453","url":null,"abstract":"<div><div>Diffuse radiation can play a critical role in the design of sustainable urban environments, in so far as it can transmit natural light to areas that direct sunlight cannot reach because of buildings and other structures. This characteristic of sky luminance is crucial for radiosity-based methods where luminance is used to determine energy transfer between surfaces. Consequently, the accuracy of a radiosity-based model will depend upon how well it can capture the subtle variations of sky luminance. In this study, both the accuracy and the performance of three luminance models are evaluated: the All-Weather model, the All-Sky model, and the CIE Standard General Sky model, focusing on their capability to replicate luminance at any point in the sky and at any given time. The results showed that while the CIE Standard Sky model offered the highest accuracy, it required more complex input data. The All-Weather and the All-Sky models rely on radiometric measurements. Both produced reliable results, with the All-Weather model standing out, because of its efficiency and minimal data requirements. Despite those strong points, all the models demonstrated higher error rates near the horizon, due to the challenges of accurately modeling luminance in this region. In this study, two radiosity methods were compared for calculating indoor illuminance: the Simplified Radiosity Algorithm (SRA), which considers spatial luminance variations across the openings, and the DeLight method, which assumes a uniform luminance distribution throughout the window view. The analysis of the results showed that the error rates produced in the luminance pattern estimations were reflected in the Radiosity model. Taking that effect into account, the combination of the All-Sky model with the SRA algorithm demonstrated a strong balance between accuracy and resource efficiency, offering a practical approach for sustainable urban lighting design.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124453"},"PeriodicalIF":9.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145262236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Thermo-economic analysis and evaluation of a novel super/trans-critical CO2 Carnot battery based on partial condensation and recompression 基于部分冷凝和再压缩的新型超/跨临界CO2卡诺电池的热经济分析与评价

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-30 DOI: 10.1016/j.renene.2025.124543

Zheng Liang , Pengfei Chen , Pei Lu , Xianglong Luo , Yingzong Liang , Jianyong Chen , Zhi Yang , Ying Chen

{"title":"Thermo-economic analysis and evaluation of a novel super/trans-critical CO2 Carnot battery based on partial condensation and recompression","authors":"Zheng Liang , Pengfei Chen , Pei Lu , Xianglong Luo , Yingzong Liang , Jianyong Chen , Zhi Yang , Ying Chen","doi":"10.1016/j.renene.2025.124543","DOIUrl":"10.1016/j.renene.2025.124543","url":null,"abstract":"<div><div>The CO<sub>2</sub>-based Carnot battery, known for its high efficiency, significant energy density, and low construction costs, is a promising solution for large-scale physical energy storage. However, conventional CO<sub>2</sub>-based Carnot batteries face challenges, such as condensation issues and limitations in cycle structure. Integrating medium-temperature waste heat (>150 °C) can improve their round-trip efficiency, but a comprehensive thermo-economic analysis of CO<sub>2</sub>-based Carnot batteries remains underexplored. To address these challenges, this study proposes a novel trans-critical CO<sub>2</sub> partial-condensation and recompression Carnot battery, utilizing a binary CO<sub>2</sub>-based zeotropic working fluid to mitigate condensation issues in the trans-critical CO<sub>2</sub> cycle. Performance comparisons were made against the traditional supercritical CO<sub>2</sub> recompression Carnot battery under various operating conditions. Additionally, a thermo-economic analysis was conducted for the CO<sub>2</sub>-based Carnot battery. The results show that the trans-critical CO<sub>2</sub> partial-condensation and recompression Carnot battery achieves an 11.82 % improvement in round-trip efficiency compared to the traditional supercritical CO<sub>2</sub> recompression Carnot battery. In scenarios with high waste heat stream's mass flow rate, significant disparities between peak and off-peak electricity prices, and longer off-peak durations, the trans-critical CO<sub>2</sub> partial-condensation and recompression Carnot battery also demonstrates a shorter payback period.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124543"},"PeriodicalIF":9.1,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145262843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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