Renewable Energy最新文献

{"title":"Composite surge tanks to boost hydropower flexibility","authors":"Asfafaw Haileselassie Tesfay ,&nbsp;Leif Lia ,&nbsp;Kaspar Vereide","doi":"10.1016/j.renene.2025.123433","DOIUrl":"10.1016/j.renene.2025.123433","url":null,"abstract":"<div><div>Hydropower is key for achieving sustainable decarbonization by offering critical flexibility and large-scale energy storage to integrate variable generations. In conventional settings, it uses conventional surge tanks to damp hydraulic transients. However, this has adaptability limitations that need new surge tank design considerations. In this study a novel composite surge tank has used to enhance transient management, stability, and flexibility of hydropower plants with long headrace tunnels. The study considered a 1300 MW PSH plant as case study. Transient analysis for selected load change scenarios for open, closed, and composite surge tank has analyzed and compared. The composite surge tank design demonstrated excellent performance of governing, mass oscillation damping, power ramping, and minimized pressure fluctuations that are important parameters for balancing and large-scale energy storage role of hydropower. It damped the 40 m water hammer and mass oscillation surges of OST and CST into 8 m in front of the turbine. This highlights the surge tank's potential to boost flexible operation. This design not only enhances upgrading and expansion of existing hydropower infrastructures but also encourages new developments to ensure reliable energy transition. Authors recommend the implementation of this surge tank design in new hydropower developments.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123433"},"PeriodicalIF":9.0,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068250","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}

{"title":"Solar-based calcium looping power plant with thermo-chemical energy storage capability: A techno-economic and environmental (LCA) analysis","authors":"Calin-Cristian Cormos","doi":"10.1016/j.renene.2025.123431","DOIUrl":"10.1016/j.renene.2025.123431","url":null,"abstract":"<div><div>Renewable energy holds a significant place in the quest for low carbon economy and climate neutrality. Furthermore, the Carbon Capture, Utilization and Storage (CCUS) technologies are foreseen to have a significant role in overall economy decarbonization. The renewables and CCUS integration has an attractive potential for the future energy- and cost-efficient energy systems. Along this line, the Calcium Looping (CaL) is a particular attractive technology to deliver high energy efficiency with thermochemical energy storage potential. The present study performs an in-depth technical, economic and environmental analysis for a solar-based CaL plant with thermo-chemical energy storage to generate 100 MW net electricity. The power plant is assessed in flexible operational conditions in view of energy storage using CO₂ and sorbent storage capabilities. As evaluation shows, the solar calcium looping process has promising techno-economic performances: high net power efficiency (around 42.5 %), lower economic costs such as the specific capital investments (about 3400 €/kW net power), around 76 €/MWh levelized cost of decarbonized electricity and very attractive low environmental impact (evaluated through a detailed Life Cycle Analysis - LCA). The flexibility of investigated CaL power plant using CO₂ and sorbent storage capability is very promising for overall optimization of the most relevant technical, economic and environmental performance indexes.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123431"},"PeriodicalIF":9.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941802","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}

{"title":"PV-MLP: A lightweight patch-based multi-layer perceptron network with time–frequency domain fusion for accurate long-sequence photovoltaic power forecasting","authors":"Weican Liu ,&nbsp;Mei Gai","doi":"10.1016/j.renene.2025.123277","DOIUrl":"10.1016/j.renene.2025.123277","url":null,"abstract":"<div><div>With the rapid development of the photovoltaic (PV) industry, achieving accurate long-sequence PV power forecasting is important for improving grid operation efficiency. However, as the number of time steps increases, the prediction errors also accumulate, making accurate long-sequence forecasting a significant challenge. Moreover, although the mainstream forecasting models based on the Transformer architecture can achieve satisfactory forecasting accuracy in long-sequence forecasting, they often encounter significant computational burdens, making them difficult in practical engineering deployments. To this end, based on the patch technique and multi-layer perceptron (MLP) structure, we propose two lightweight forecasting models: PV-MLP and PV-MLPx. Specifically, the proposed methods first correct data anomalies and reduce feature redundancy. Then, in the proposed learning models, we first segment the time-series data into multiple patches. PV-MLP employs a shared MLP layer to extract the temporal features of each patch, which effectively reduces the computational burden. PV-MLPx processes each patch independently using dedicated MLP layers, making it suitable for scenarios with abundant computational resources. Finally, the features extracted from each patch are fused along the feature dimension and generate the final results directly through a fully connected layer. Additionally, to address the issue of ignoring label sequence autocorrelation in the direct prediction paradigm, we build upon the traditional mean squared error loss function by applying the Fast Fourier Transform (FFT) to transfer the predicted and ground truth values to the frequency domain for secondary alignment. Finally, we conducted a comprehensive evaluation of PV-MLP’s forecasting accuracy and generalizability. Experimental results show that our proposed model achieves over 68.7%, 43.1%, and 38.4% improvements in Mean Squared Error (MSE) compared to the baseline models in data 1 on three long-term forecasting tasks with horizons of 96, 192, and 384 steps, respectively. Moreover, the Mean Absolute Error (MAE) of our model remains below 1.0 on three forecasting tasks, significantly outperforming the other baseline models.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123277"},"PeriodicalIF":9.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936785","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}

{"title":"Enhanced thermal performance of latent heat thermal energy storage systems with pulsating flow: A biomimetic approach inspired by alveolar vascular structures","authors":"Fan Ren ,&nbsp;Qibin Li ,&nbsp;Lei Shi ,&nbsp;Liyong Xin","doi":"10.1016/j.renene.2025.123417","DOIUrl":"10.1016/j.renene.2025.123417","url":null,"abstract":"<div><div>This study addresses the limitations of shell-and-tube latent heat thermal energy storage (TES) units, namely low heat transfer efficiency and slow charging/discharging rates, by introducing alveolar vascular fins and pulsating flow. Numerical simulations were conducted to analyze the impact of pulsating flow parameters (period, amplitude, and temperature) on the melting/solidification process of the phase change material (PCM). The results show that pulsating flow significantly enhances convective heat transfer between the PCM and the heat transfer fluid (HTF), leading to shorter melting times. The average PCM temperature increases with increasing amplitude velocity, decreasing pulsating period, and increasing inlet temperature. To optimize TES performance, response surface method and the non-dominated sorting genetic algorithm II (NSGA-II) were employed. The study found that amplitude velocity had the greatest influence on TES heat transfer. Optimal values for heat storage, pressure drop, and melting time were determined to be 8.39 kJ, 22.87 Pa, and 309.82 s, respectively, corresponding to a pulse period of 12.26 s and an amplitude velocity of 0.139 m/s. This study sheds light on the mechanism by which pulsating flow enhances the heat storage performance of TES units, providing valuable insights into the heat transfer characteristics of phase change storage under pulsating flow.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123417"},"PeriodicalIF":9.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083948","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}

{"title":"Roadmap to achieve sustainable energy development: Is energy security important to the path to SDG7: Affordable and Clean Energy -Sustainable Development Goals?","authors":"Zhen Shi ,&nbsp;Xinyue Yang ,&nbsp;Qinqin Jin ,&nbsp;Yung-ho Chiu ,&nbsp;Lina Zhang","doi":"10.1016/j.renene.2025.123425","DOIUrl":"10.1016/j.renene.2025.123425","url":null,"abstract":"<div><div>Upon the profound changes in the global energy landscape, renewable energy has provided a new solution to China's energy security problems. To accurately evaluate the importance of renewable energy use for energy security and sustainability, this study innovatively constructed a two-stage framework (Meta Window Parallel Entropy Dynamic DDF model) based on panel data from 30 provinces in China over 2015 to 2021. The framework initially evaluates the energy security index of 30 provinces from the four dimensions of Availability, Accessibility, Affordability and Acceptability. Renewable energy indicators were incorporated to evaluate China's energy sustainable development capacity in the stage of sustainable energy development (Energy S-SDG Stage). In addition, the study introduces the Geodetector model and multiple linear regression model to analyse the driving factors affecting China's energy security and sustainability and their interactions. The findings reveal that Chinese provinces have significant differences in the traditional energy security dimension. The overall energy security level has been low but roughly positive. After considering the renewable energy indicators in the Energy S-SDG stage, the provincial energy security-sustainable development indices are relatively high. Moreover, multidimensional factors synergistic influence China's energy security and the interactions between the factors show an apparent enhancement relationship. These findings highlight the role of renewable energy in improving energy security and achieving the SDGs.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123425"},"PeriodicalIF":9.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084049","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}

{"title":"Stall-induced aeroelastic instability of floating offshore wind turbines: Comparison of frequency domain and time domain quasi-steady approaches","authors":"Qingshen Meng ,&nbsp;Wei Yu ,&nbsp;Faming Wu ,&nbsp;Xugang Hua ,&nbsp;Chao Chen","doi":"10.1016/j.renene.2025.123174","DOIUrl":"10.1016/j.renene.2025.123174","url":null,"abstract":"<div><div>With the increasing size of floating offshore wind turbines (FOWTs), stall-induced aeroelastic instability has become a critical issue. This study numerically investigates this instability for FOWTs at stand-still conditions using time and frequency domain approaches. A nonlinear aeroelastic model based on quasi-steady theory and a linearized version are used for time and frequency domain simulations, respectively. Hydrodynamic damping considers both radiation and viscous drag effects. The aeroelastic instability of a stand-still NREL OC3-Hywind 5MW FOWT is analyzed for various inflow yaw misalignment angles. Frequency domain simulation shows rotor edgewise and tower side-side modes exhibit stall-induced instability due to aerodynamic negative damping at specific yaw misalignment and azimuth angles. The platform’s yaw mode also shows small negative damping, despite large hydrodynamic damping, while other platform modes remain dynamically stable. Safety margins of FOWTs are analyzed for multi-mode stability, and an active control strategy is proposed to prevent stall-induced instability in all unstable modes. Limit cycle oscillations in the rotor’s in-out plane are observed from time domain simulation. Instability regions predicted by both analyses highly overlap, but frequency domain results are more conservative. Blade instability may cause high-frequency vibrations in platform movements with limited amplitudes and severe oscillations in tower structures.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123174"},"PeriodicalIF":9.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948535","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}

{"title":"A model for calculating relative sky radiance under all sky conditions using geostationary satellite data","authors":"W. Kanchanachat,&nbsp;I. Masiri,&nbsp;S. Pattarapanitchai,&nbsp;R. Wattan,&nbsp;K. Tohsing,&nbsp;S. Janjai","doi":"10.1016/j.renene.2025.123423","DOIUrl":"10.1016/j.renene.2025.123423","url":null,"abstract":"<div><div>Sky radiance data is essential for accurately understanding the distribution of solar radiation over the sky, which is critical for optimizing energy efficiency and system design of solar energy applications. In this study, a model for calculating relative sky radiance under different sky and climate conditions in the tropical environment of Thailand using geostationary satellite data is presented. Five years of measured average sky radiance from a sky scanner at Nakhon Pathom station and cloud index derived from satellite data were used to determine the empirical adjustable coefficients of the proposed model. To validate its performance, relative sky radiance measured at four main regions were analyzed. The results demonstrate that the proposed model performs best under clear sky, with accuracy decreasing under overcast and intermediate sky conditions. The proposed model tends to overestimate relative sky radiance under clear sky and underestimate it under intermediate and overcast sky conditions. However, these discrepancies correspond to findings from previous studies. Furthermore, comparisons with existing models were analyzed, including the CIE standard sky, Igawa, and CIE-NASR models. The comparison revealed that the proposed model mostly obtained higher accuracy than existing models under different sky conditions.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123423"},"PeriodicalIF":9.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936789","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}

{"title":"A comparative performance study of concentrating PV/T and ETC for solar adsorption cooling system in Greece","authors":"Theodoros Papingiotis,&nbsp;Dimitrios N. Korres,&nbsp;Vassilis Koulocheris,&nbsp;Irene P. Koronaki,&nbsp;Vasileios D. Papaefthimiou","doi":"10.1016/j.renene.2025.123395","DOIUrl":"10.1016/j.renene.2025.123395","url":null,"abstract":"<div><div>This study explores the potential of combining concentrating photovoltaic thermal (CPV/T) solar collectors with a thermally driven adsorption chiller. The analysis is focused to the climate conditions of Athens, Greece, conducting on typical days in June, July, and August, when cooling demand is highest. Several configurations of the solar field are examined. The analysis begins with a solar field comprised entirely of evacuated tube collectors (ETC). CPV/T collectors are then incrementally added while proportionally reducing the ETC area, maintaining a consistent total solar field area of 50 m². The impact of positioning the CPV/T collectors either in series at the front of the ETC or in a parallel connection with them is assessed. Various performance metrics are used, including maximum and average COP, peak cooling capacity, cooling and electricity output, as well as energy and exergy efficiencies. The analysis reveals that the system performs best when using a solar field entirely composed of ETC, achieving an average COP of 0.40, a maximum cooling capacity of approximately 12 kW, and an energy efficiency of 21 %. In contrast, a setup with only CPV/T collectors yields the lowest performance. Mixed configurations, particularly those with 5 m² of CPV/T collectors added in parallel with ETCs, offer performance levels close to the full ETC setup, with an average COP of 0.39 and the added benefit of generating 3.25 kWh of electricity, based on the average from the three mean days across the three months examined.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123395"},"PeriodicalIF":9.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084048","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}

{"title":"Electricity–carbon dual response for energy-intensive enterprise: A co-optimization approach","authors":"Mao Tan ,&nbsp;Hongwei Jiang ,&nbsp;Yi Kuang ,&nbsp;Kang Li ,&nbsp;Rui Wang ,&nbsp;Zibin Li","doi":"10.1016/j.renene.2025.123330","DOIUrl":"10.1016/j.renene.2025.123330","url":null,"abstract":"<div><div>Renewable energy is regarded by energy-intensive enterprises as a critical measure to reduce both carbon emissions and costs. However, integrating renewable energy introduces a new challenge: how to strike a balance between reducing carbon emission, controlling operating cost, and addressing market cost. This study proposes a co-optimization approach to achieve electricity–carbon dual response to emissions and operating-market costs. First, a pre-scheduling and adjustment two-stage distributionally robust optimization model based on the Wasserstein set is proposed to address renewable energy uncertainty. Second, an equivalence mechanism between carbon quotas and green electricity certificates is introduced to optimize market cost, while a node-specific time and spatial low-carbon demand response is implemented to reduce carbon emissions. Furthermore, an electricity–carbon dual response collaborative strategy is proposed to balance the optimization of costs and emissions. Experimental results demonstrate that the proposed method achieves a dual reduction in operating-market costs (4.66%) and emissions (7.10%), while ensuring the reliability of scheduling plans under full renewable energy utilization.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123330"},"PeriodicalIF":9.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936755","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}

{"title":"A comprehensive review on future research trends in solar cell parameter extraction techniques","authors":"Prashant Malik ,&nbsp;Shyam Singh Chandel ,&nbsp;Rajesh Gupta","doi":"10.1016/j.renene.2025.123427","DOIUrl":"10.1016/j.renene.2025.123427","url":null,"abstract":"<div><div>The solar cell parameter extraction using different solar cell models is crucial for studying aging, degradation analysis, reliability analysis, fault analysis, power forecasting, and assessing power generation by PV modules. However, despite extensive work in this area, there is still a need to consolidate the research by reviewing reliable techniques to identify clear-cut research gaps for further follow-up. The objective of the study is to present a critical assessment of the key concerns of various methods published in the literature over the last decade. A comprehensive analysis of analytical, numerical, metaheuristic techniques and hybrid methods are carried out. Instead of using a predetermined set of assessment criteria, this work first examines and summarizes different approaches with emphasis on execution time, maximum, average, standard deviation, different evaluation criteria relations, and range of parameters set. The advantages and limitations of each method are discussed by effectively merging the advantages of distinct methodologies, leading to the creation of various innovative hybrid techniques. Based on these aspects a research roadmap is outlined for future follow-up research. The outcome of the study is useful for researchers, PV simulators and solar power plant designers for understanding recent research on solar PV modeling.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123427"},"PeriodicalIF":9.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072401","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}