Renewable Energy最新文献

{"title":"Effects of policy induced uncertainty and geopolitical risk on renewable energy production: Econometric analysis","authors":"Predrag Petrović,&nbsp;Ivana Ostojić","doi":"10.1016/j.renene.2025.123783","DOIUrl":"10.1016/j.renene.2025.123783","url":null,"abstract":"<div><div>Various human activities lead to the emission of greenhouse gases, which causes global warming and climate change with a wide range of negative consequences. Since burning of fossil fuels is the most important cause of anthropogenic emission of greenhouse gases, replacement of fossil fuels energy with renewable energy is recognized as one of the most significant tools for combating climate change. Bearing these facts in mind, many authors have analyzed numerous determinants that potentially affect various indicators of renewable energy. Nevertheless, it is obvious that available literature is very scarce when it comes to the impact of policy uncertainty and geopolitical risk on renewable energy production, as well as that the existing studies are burdened with certain methodical weaknesses. This research aims to analyze the impact of policy induced uncertainty and geopolitical risk on renewable energy production. The analysis was conducted on a fairly extensive panel data sample that incorporates 42 countries and time interval of 31 years (1990–2020). The panel data cointegration framework was used which is considered adequate because it eliminates numerous methodical shortcomings of the existing papers. According to the obtained findings, policy induced uncertainty and geopolitical risk do not have any long-term impact on renewable energy production. A positive short-term influence of geopolitical risk is present in 31 % of countries, and a negative one in 19 %. In addition, a positive short-run impact of policy induced uncertainty was detected in 21.4 % of countries, and a negative one in 31 %. Such heterogeneous effects cannot be linked to the geographic location and economic development. Average short-term influence of both variables is insignificant. Finally, the results of the analysis show that a positive average long-term effect has gross domestic product, final energy consumption structure, financial development, greenhouse gases emissions, gross domestic fixed investments and average annual crude oil price. Only international trade has a negative average long-run impact.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"255 ","pages":"Article 123783"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331077","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 sensitive and easy-to-deploy condition monitoring method for main drive chain of large wind turbines","authors":"Wei Liu ,&nbsp;Xian Wang ,&nbsp;Qingcan Long ,&nbsp;Bing Zeng ,&nbsp;Shuai Zhong","doi":"10.1016/j.renene.2025.123773","DOIUrl":"10.1016/j.renene.2025.123773","url":null,"abstract":"<div><div>Effective condition monitoring of the main drive chain of wind turbines is crucial to reducing the operation and maintenance costs of wind farms. Based on the condition monitoring theory of Normal Behavior Model (NBM) of machine learning, this paper proposes a sensitive and easy-to-deploy condition monitoring method for main drive chain of large wind turbines. In order to better characterize the normal state of main drive chain, the process of selecting input and output variables for the NBM considers both the correlations among monitoring data and the working mechanism of main drive chain. The NBM, constructed based on the Informer network using the Transformer architecture, ProbSparse self-attention mechanism, and attention distillation mechanism, provides a better accuracy and requires fewer computing resources than traditional methods. In order to accurately and sensitively reflect the health conditions of main drive chain, the designed condition assessment index adopts a double-variable residual fusion mechanism and a historical memory elimination mechanism. The case studies show that the method is effective for condition monitoring and early warning for fault of main drive chain in an on-site environment. Further studies have found that the proposed method has strong transferability and is expected to be easily deployed at scale.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123773"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313770","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":"Bioenergy potential of sea buckthorn branches: A study on the multicomponent kinetics and thermodynamics of its pyrolysis","authors":"Jiuzhuo Cui ,&nbsp;Zhitong Yao ,&nbsp;Huanxuan Li ,&nbsp;Jean Constantino Gomes da Silva ,&nbsp;José Luiz Francisco Alves ,&nbsp;Yang Chen ,&nbsp;Akash Kumar ,&nbsp;Ljiljana Medic Pejic ,&nbsp;Jingjing Jiang ,&nbsp;Jiayao Tong ,&nbsp;Jie Liu ,&nbsp;Haoqi Wang ,&nbsp;Wei Qi","doi":"10.1016/j.renene.2025.123786","DOIUrl":"10.1016/j.renene.2025.123786","url":null,"abstract":"<div><div>This study investigated the multicomponent pyrolysis kinetics and thermodynamics of sea buckthorn branch (SBB) biomass to assess its bioenergy potential. Thermogravimetric analysis coupled with Fraser-Suzuki deconvolution identified three pseudo-components (PS-HC, PS-CL, and PS-LG) with peak temperatures of 283–305 °C, 344–366 °C, and 400–422 °C, respectively. Py-GC/MS analysis showed that C₁₆-C₂₈ alkanes and acid were the dominant products, consistent with the significant C-H and C=O group vibrations in the FTIR analysis. Activation energies for each pseudo-component from four isoconversional methods was comparable, showing an increasing order of PS-HC (157.70 kJ/mol) &lt; PS-CL (182.53 kJ/mol) &lt; PS-LG (228.87 kJ/mol). The master-plots method indicated that the reaction mechanisms followed 3rd, 1st and 4th order models, respectively. Positive values for ΔH (152.59, 177.17, and 224.43 kJ/mol) and ΔG (157.47, 176.99, and 190.47 kJ/mol) indicated higher energy barriers, especially for PS-LG, and lower spontaneity of the conversion process. These results highlighted the energy potential of SBB as a feedstock for bioenergy production and provided valuable insights into reactor design and process optimization for large-scale application.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"255 ","pages":"Article 123786"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314247","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":"Contribution of floating photovoltaic systems in hydropower plants for the expansion of Brazilian electricity sector","authors":"Danielle Rodrigues Raimundo ,&nbsp;Carla Kazue Nakao Cavaliero ,&nbsp;Marcelo Pereira da Cunha","doi":"10.1016/j.renene.2025.123754","DOIUrl":"10.1016/j.renene.2025.123754","url":null,"abstract":"<div><div>The Brazilian electricity matrix is mainly composed of hydropower plants, which allow the storage of energy as water in reservoirs. However, the water crises experienced in recent years bring uncertainties regarding the reliability of this kind of energy storage. The present work proposes a study on the use of photovoltaic generation in floating panels in reservoirs of hydropower plants. Floating photovoltaic systems have been the subject of several studies, but there is still a lack of research regarding their technical feasibility, operational challenges, and environmental impacts. In Brazil, it is also necessary to understand the insertion of floating photovoltaic systems in the National Interconnected System, the additional installed capacity, and the potential displacement of natural gas thermal generation. Data were collected from reliable references, such as the National Electric System Operator (ONS). The additional generation was estimated using PVSyst® software and considered specific input parameters from each hydropower plant analyzed. As a result, floating photovoltaic systems can be relevant in the Brazilian electricity matrix and, considering the plants analyzed, would be able to generate 7.7 TWh/year, displacing 15 % of the natural gas power generation forecasted for 2031.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123754"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298534","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":"Short-term hydropower generation prediction model for run-of-river hydropower plants considering hydrometeorological factors","authors":"Wang Peng ,&nbsp;Zhiqiang Jiang ,&nbsp;Huaming Yao ,&nbsp;Li Zhang ,&nbsp;Jianhua Yu","doi":"10.1016/j.renene.2025.123790","DOIUrl":"10.1016/j.renene.2025.123790","url":null,"abstract":"<div><div>Run-of-river hydropower plants, with limited storage capacity, primarily relying on the variability of incoming flow. However, the intricate fluctuations in external hydrological and meteorological factors engender a robust non-linear interdependency between streamflow patterns and hydropower generation. This study treats short-term hydropower generation prediction as a multivariate time series task and proposes a novel hybrid deep learning model, named Dual Attention Mechanism-Convolutional Neural Network-Bidirectional Gated Recurrent Unit (DAC-BiGRU). The model was validated and evaluated using both hydrometeorological reanalysis data and hydropower generation data. The results demonstrate that superior performance of the DAC-BiGRU model compared to baseline models such as Long Short-Term Memory (LSTM), CNN-LSTM, CNN-GRU, and Support Vector Machine (SVM), with an 8.8 % reduction in Root Mean Squared Error (RMSE). The integration of streamflow and soil temperature as supplementary input variables enhances the generalization capacity and predictive accuracy of the DAC-BiGRU model. The simplicity and efficiency of the DAC-BiGRU model make it a novel and effective solution with significant engineering relevance in short-term hydropower generation prediction.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123790"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313769","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":"Seismic vibration control of CFDST composite wind turbine towers with TLCDs","authors":"Li-Xin Duan ,&nbsp;Wen-Da Wang ,&nbsp;Yan-Li Shi ,&nbsp;Long Zheng","doi":"10.1016/j.renene.2025.123789","DOIUrl":"10.1016/j.renene.2025.123789","url":null,"abstract":"<div><div>As MW-class wind turbine towers (WTT) continue to grow in size, traditional steel tube structures are inadequate to meet the seismic requirements of large-scale towers. Concrete-filled double-skin steel tube (CFDST) towers, known for their lightweight and high lateral stiffness, are showing promising prospects for use in MW-class wind turbine towers. This study takes the NREL 5 MW WTT as a prototype and designs four 1:20 scaled wind turbine tower models-two concrete-filled double-skin steel tube (CFDST) towers and two conventional steel towers. One CFDST tower and one steel tower are equipped with a tuned liquid column damper (TLCD) at the nacelle, while the other two serve as control specimens without TLCDs. Shaking table tests were conducted on all models, with the influence of the blades taken into account. Acceleration, displacement, and strain responses under seismic excitation were obtained. Based on these results, the dynamic response characteristics of the CFDST composite tower were compared with those of the conventional steel tower. Furthermore, the feasibility of implementing TLCDs in CFDST towers was assessed, and the combined effect of cross-sectional optimization and damping devices was investigated. The findings indicate that, under identical seismic conditions, the displacement, acceleration, and strain in the Concrete-Filled Double-Skin Steel Tube (CFDST) WTT are significantly lower than those in the traditional steel structure WTT. The effectiveness of the TLCD in reducing vibrations not only increases with the peak ground acceleration (PGA) but also varies according to the type of seismic wave and the direction of seismic loading. Moreover, the combined application of cross-sectional optimization and TLCD installation yields the most substantial vibration reduction, achieving a maximum decrease in acceleration of 66.7 % and displacement of 57.5 %. These results confirm that employing TLCD damping devices in CFDST WTT is both feasible and advantageous, enhancing the operational stability and safety of WTTs under extreme seismic conditions.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123789"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313772","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":"Optimizing built-in chimney ventilation: Synergetic effects of underground pipe gallery pre-cooling and PV/T post-heating","authors":"Tong Wei ,&nbsp;Haonan Jiang ,&nbsp;Chengqian Xu ,&nbsp;Zhaolin Gu ,&nbsp;Bin Yang ,&nbsp;Xilian Luo","doi":"10.1016/j.renene.2025.123770","DOIUrl":"10.1016/j.renene.2025.123770","url":null,"abstract":"<div><div>Buoyancy-driven natural ventilation is energy-efficient and stable, making it suitable for areas with limited wind or high urban density. However, its effectiveness relies on buoyancy forces driven by temperature or height differences between the air inlet and outlet. When buoyancy is weakened, ventilation efficiency decreases, and reverse airflow may occur. To address this, this study proposes an optimization strategy to enhance buoyancy-driven ventilation. Outdoor air is cooled through an underground pipe gallery to expand the effective temperature range for natural ventilation. The inner wall of a built-in chimney is heated using a rooftop photovoltaic/thermal (PV/T) system to raise exhaust temperature and enhance buoyancy forces. The results showed that supply air could be pre-cooled by up to 13.1 °C. Post-heating at 40 °C and 45 °C, the exhaust temperatures increased by 2.1 °C and 3.0 °C, respectively, and reduced reverse airflow duration by 35.9 % and 75.6 %. When the rooftop PV/T system was used as the heat source, it provided an average heat temperature of 44.3 °C, resulting in a 102.5 % increase in airflow and a 16.6 % extension in effective ventilation time. These findings demonstrate a feasible approach for integrating renewable energy into passive ventilation systems, particularly in low-wind or high-density environments.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"255 ","pages":"Article 123770"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144470913","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":"An airfoil-based synthetic actuator disk model for wind turbine aerodynamic and structural analysis","authors":"Muhammad Rubayat Bin Shahadat ,&nbsp;Mohammad Hossein Doranehgard ,&nbsp;Weibing Cai ,&nbsp;Charles Meneveau ,&nbsp;Benjamin Schafer ,&nbsp;Zheng Li","doi":"10.1016/j.renene.2025.123780","DOIUrl":"10.1016/j.renene.2025.123780","url":null,"abstract":"<div><div>This study introduces an airfoil-based refinement technique to enhance the Actuator Disk Model (ADM) for improved wind turbine aerodynamic load prediction and structural simulation in conjunction with Large Eddy Simulations of the wind flow. While ADM offers higher computational efficiency than the more detailed but resource-intensive Actuator Line Model (ALM), it traditionally lacks the resolution needed to capture the localized blade forces accurately. To address this limitation, we introduce a refinement technique that uses airfoil-specific data and employs interpolation-based grid point refinement, achieving ALM-comparable accuracy while preserving ADM's efficiency. Unlike conventional ADM that provides only rotor-disk averaged forces, our synthetic method tracks transient aerodynamic load variations over multiple blade revolutions, allowing us to calculate the distributions of maximum and minimum loads during typical cycles. Applied to the NREL 5 MW reference turbine, our enhanced ADM accurately predicts key aerodynamic parameters (angle of attack, axial velocity, lift, drag, axial and tangential forces along the blades) as well as structural responses (blade tip deflection, maximum stress, and stress concentration). Our results show that the tip deflection ranges from 2.33m (3.69 % of blade length) to 4.28m (6.79 %), with maximum stress concentration occurring near the blade root. This research demonstrates that a refined synthetic ADM approach can serve as a computationally efficient alternative for both aerodynamic analysis and structural simulation of wind turbine blades subjected to realistic wind fields.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"255 ","pages":"Article 123780"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313506","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":"Experimental study on dynamic response of barge-type floating offshore wind turbine integrated with aquaculture cage","authors":"Yuting Zhai ,&nbsp;Xin Li ,&nbsp;Chien Ming Wang ,&nbsp;Wenhua Wang","doi":"10.1016/j.renene.2025.123795","DOIUrl":"10.1016/j.renene.2025.123795","url":null,"abstract":"<div><div>This study presents an experimental study of a scaled physical model of a novel integrated 10 MW barge-type floating offshore wind turbine with aquaculture cage system (BWACS). The work was conducted in a wave basin equipped with edge-mounted fans to simulate wave, current, and wind actions (all acting in the same direction) on the model. The hydrodynamic characteristics of the BWACS were compared with those of a barge-type floating offshore wind turbine system (BWS) without the aquaculture cage, to investigate the influence of the cage on the floating wind turbine's dynamic performance. The findings show that the motion responses of the BWACS under both normal and extreme environmental conditions remain within the allowable limits specified by DNVGL-ST-0119 for offshore operations at a water depth of 60 m, demonstrating its operational suitability under typical limit states. Additionally, the presence of the aquaculture cage increases the natural periods and damping of surge, heave, and pitch motions of BWACS. This study underscores the benefit of integrating an aquaculture cage with a floating wind turbine, as the cage structure enhances hydrodynamic damping of the system, thereby reducing motion responses, particularly surge motion, under regular wave conditions, while also providing additional income through fish production.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"255 ","pages":"Article 123795"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144470908","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":"Investigation and regulation of flow properties of rice straw ash for the slagging gasifier","authors":"Jinzhe Li ,&nbsp;Qinghua Guo ,&nbsp;Xia Liu ,&nbsp;Hao Wu ,&nbsp;Guangsuo Yu","doi":"10.1016/j.renene.2025.123787","DOIUrl":"10.1016/j.renene.2025.123787","url":null,"abstract":"<div><div>Gasification is one of many prospective ways to utilize straw biomass efficiently and economically. However, despite the low fusion temperatures of rice straw ash, the high silica content and the consequent high viscosity hinder the application of this biomass to the slagging gasifiers. To regulate the rice straw ash slag fluidity, two kinds of basic oxides (Fe₂O₃ and CaO) were selected as additives and mixed with the ash in several ratios respectively. Based on the results of ash fusion temperatures (AFTs) test, X-ray diffraction (XRD) analysis and thermodynamic calculation, it was found that the basic additives combined with SiO₂ and reduced the flow temperature at low additions. When the addition continued to increase, Fe₂O₃ combined with SiO₂ to form fusible minerals such as olivine, while CaO reacted with SiO₂ to generate refractory wollastonite. The influence mechanisms of basic additives on slag viscosity were further explored through viscosity tests and Fourier transform infrared spectroscopy (FTIR) analysis. Both additives could reduce the slag viscosity by increasing the content of the network modifiers. Compared with Fe³⁺ and Fe²⁺, Ca²⁺ had a smaller ionic potential and a superior ability to depolymerize the silicate network, so CaO had a better effect on viscosity reduction.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123787"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306273","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}