Renewable Energy最新文献_第2页

Analysis of a novel PVT dryer using a sustainable control approach

IF 9 1区工程技术

Renewable Energy Pub Date : 2025-02-22 DOI: 10.1016/j.renene.2025.122728

Fazlı Bayrak , Mustafa Aktaş , Ahmet Aktaş , Seyfi Şevik , Burak Aktekeli , Yaren Güven

{"title":"Analysis of a novel PVT dryer using a sustainable control approach","authors":"Fazlı Bayrak , Mustafa Aktaş , Ahmet Aktaş , Seyfi Şevik , Burak Aktekeli , Yaren Güven","doi":"10.1016/j.renene.2025.122728","DOIUrl":"10.1016/j.renene.2025.122728","url":null,"abstract":"<div><div>This study aimed to improve a product-focused approach for enhancing electrical and drying efficiency by utilizing a novel photovoltaic thermal (PVT) collector and a temperature control algorithm, as opposed to existing fixed implementations. Apple slices were dried in the variable air volume PVT dryer (VAVPVTD) and constant air volume PVT dryer (CAVPVTD) for desirable drying efficiency at varying air velocities. The performance of the VAVPVTD, which provides homogeneous cooling with the novel design and controls the air volume according to the surface temperature of the PV with the created algorithm, was compared to the CAVPVT. While the average surface temperature of PVT in high air volume CAVPVTD (CAVPVTD-HAV) was 5.76 % and 5.63 % lower daily, respectively, the values in VAVPVTD were 7.15 % and 4.26 % lower compared to CAVPVTD. The maximum electrical efficiency was found to be 12.51 %, 11.96 %, and 12.57 % on days 1, 3 and 4, respectively. In terms of average thermal efficiencies, Day 3's highest value was 39.05 % in CAVPVT, while Day 3's lowest value was 28.67 % in VAVPVT. Although VAV control significantly increases the electrical efficiency in PVT, the thermal efficiency was lower compared to CAVPVT. Despite the uniform temperature distribution and the favorable impact of the VAV control application on electrical efficiency, thermal efficiency was adversely impacted based on the temperature that was chosen.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"245 ","pages":"Article 122728"},"PeriodicalIF":9.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529361","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

HEFESTO: A novel tool for fast calculation and preliminary design of heliostat fields HEFESTO：定日镜场快速计算和初步设计的新工具

IF 9 1区工程技术

Renewable Energy Pub Date : 2025-02-22 DOI: 10.1016/j.renene.2025.122736

Mario Biencinto , Jesús Fernández-Reche , Antonio Luis Ávila-Marín

{"title":"HEFESTO: A novel tool for fast calculation and preliminary design of heliostat fields","authors":"Mario Biencinto , Jesús Fernández-Reche , Antonio Luis Ávila-Marín","doi":"10.1016/j.renene.2025.122736","DOIUrl":"10.1016/j.renene.2025.122736","url":null,"abstract":"<div><div>This work introduces HEFESTO, a novel and innovative software tool conceived for the efficient estimation and preliminary design of heliostat fields in central receiver systems. The tool incorporates advanced methods for evaluating four key efficiency factors: cosine effect, atmospheric attenuation, shadowing and blocking, and spillage. A novel attenuation model based on aerosol optical depth offers enhanced flexibility and accuracy for various visibility conditions. Additionally, a new spillage estimation method leverages elliptical approximations of flux images, while a fast and efficient shadowing and blocking model significantly reduces computation times. HEFESTO also integrates reference models from the literature, such as the standard projection method for shadowing and blocking and the Hermite expansion for spillage, along with advanced solar field configurations, including biomimetic spirals and dense packing patterns. Validation using real data from 3 heliostats of the CESA-I heliostat field, ray-tracing simulations and entire field layouts with state-of-the-art design tools demonstrates strong agreement. Comparative analyses across field configurations and solar positions reveal that HEFESTO achieves up to a 10-fold speedup for shadowing and blocking (accuracy within 0.4 %) and 5-fold speedup for spillage (accuracy within 0.6 %) compared to standard methods, making it a powerful tool for optimizing heliostat field designs.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"245 ","pages":"Article 122736"},"PeriodicalIF":9.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143528674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic hydrogen demand forecasting using hybrid time series models: Insights for renewable energy systems

IF 9 1区工程技术

Renewable Energy Pub Date : 2025-02-22 DOI: 10.1016/j.renene.2025.122737

Ali Nikseresht

{"title":"Dynamic hydrogen demand forecasting using hybrid time series models: Insights for renewable energy systems","authors":"Ali Nikseresht","doi":"10.1016/j.renene.2025.122737","DOIUrl":"10.1016/j.renene.2025.122737","url":null,"abstract":"<div><div>Hydrogen is gaining traction as a key energy carrier due to its clean combustion, high energy content, and versatility. As the world shifts towards sustainable energy, hydrogen demand is rapidly increasing. This paper introduces a novel hybrid time series modeling approach, designed and developed to accurately predict hydrogen demand by mixing linear and nonlinear models and accounting for the impact of non-recurring events and dynamic energy market changes over time. The model incorporates key economic variables like hydrogen price, oil price, natural gas price, and gross domestic product (GDP) per capita. To address these challenges, we propose a four-part framework comprising the Hodrick–Prescott (HP) filter, the autoregressive fractionally integrated moving average (ARFIMA) model, the enhanced empirical wavelet transform (EEWT), and high-order fuzzy cognitive maps (HFCM). The HP filter extracts recurring structural patterns around specific data points and resolves challenges in hybridizing linear and nonlinear models. The ARFIMA model, equipped with statistical memory, captures linear trends in the data. Meanwhile, the EEWT handles non-stationary time series by adaptively decomposing data. HFCM integrates the outputs from these components, with ridge regression fine-tuning the HFCM to handle complex time series dynamics. Validation using stochastic, non-Gaussian synthetic data demonstrates that this model significantly enhances prediction performance. The methodology offers notable improvements in prediction accuracy and stability compared to existing models, with implications for optimizing hydrogen production and storage systems. The proposed approach is also a valuable tool for policy formulation in renewable energy and smart energy transitions, offering a robust solution for forecasting hydrogen demand.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122737"},"PeriodicalIF":9.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic rolling horizon optimization for network-constrained V2X value stacking of electric vehicles under uncertainties

IF 9 1区工程技术

Renewable Energy Pub Date : 2025-02-22 DOI: 10.1016/j.renene.2025.122668

Canchen Jiang , Ariel Liebman , Bo Jie , Hao Wang

{"title":"Dynamic rolling horizon optimization for network-constrained V2X value stacking of electric vehicles under uncertainties","authors":"Canchen Jiang , Ariel Liebman , Bo Jie , Hao Wang","doi":"10.1016/j.renene.2025.122668","DOIUrl":"10.1016/j.renene.2025.122668","url":null,"abstract":"<div><div>Electric vehicle (EV) coordination can provide significant benefits through vehicle-to-everything (V2X) by interacting with the grid, buildings, and other EVs. This work aims to develop a V2X value-stacking framework, including vehicle-to-building (V2B), vehicle-to-grid (V2G), and energy trading, to maximize economic benefits for residential communities while maintaining distribution voltage. This work also seeks to quantify the impact of prediction errors related to building load, renewable energy, and EV arrivals. A dynamic rolling-horizon optimization (RHO) method is employed to leverage multiple revenue streams and maximize the potential of EV coordination. To address energy uncertainties, including hourly local building load, local photovoltaic (PV) generation, and EV arrivals, this work develops a Transformer-based forecasting model named Gated Recurrent Units-Encoder-Temporal Fusion Decoder (GRU-EN-TFD). The simulation results, using real data from Australia’s National Electricity Market, and the Independent System Operators in New England and New York in the US, reveal that V2X value stacking can significantly reduce energy costs. The proposed GRU-EN-TFD model outperforms the benchmark forecast model. Uncertainties in EV arrivals have a more substantial impact on value-stacking performance, highlighting the significance of its accurate forecast. This work provides new insights into the dynamic interactions among residential communities, unlocking the full potential of EV batteries.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122668"},"PeriodicalIF":9.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical investigation of the torque produced by Darrieus vertical axis wind turbine in dusty flow

IF 9 1区工程技术

Renewable Energy Pub Date : 2025-02-21 DOI: 10.1016/j.renene.2025.122731

Ali Yebarat, Ali Tayebi, Younes Shekari

{"title":"Numerical investigation of the torque produced by Darrieus vertical axis wind turbine in dusty flow","authors":"Ali Yebarat, Ali Tayebi, Younes Shekari","doi":"10.1016/j.renene.2025.122731","DOIUrl":"10.1016/j.renene.2025.122731","url":null,"abstract":"<div><div>In this study, the performance of a Darrieus vertical axis wind turbine in a dusty flow is investigated. First, the maximum torque generated at different blade tip speed ratios (TSRs) is studied. After determining the maximum torque of the turbine in a single-phase model, the problem is converted to a two-phase model, and the performance of the turbine is investigated. The performance of the wind turbine in the dusty flow is compared with that of the flow without sand particles at different TSRs. The volume fraction of the two-phase model (air-particles) is 10<sup>−6</sup>, and the diameter of the particles is 100 μm. The maximum torque and average power coefficients were determined for both single-phase and two-phase flows at a TSR of 2.4. It was found that the torque and power coefficient of the turbine were affected by the discrete phase (particles), and their maximum values decreased from 0.190 and 0.456 to 0.142 and 0.340 (25 % decrease), respectively. In addition, wind speed is known to be the most important parameter affecting wind turbine performance. At high wind speeds, the negative effects of particles on the wind turbine are much greater. For example, at a TSR of 1.3 and a free flow velocity of 16.2 m/s, the negative effect of particles was 60 %, while at a TSR of 6 and a free flow velocity of 3.6 m/s, it dropped to 16 %. The present results can be used for the same conditions of a dusty flow around a Darrieus vertical axis wind turbine.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122731"},"PeriodicalIF":9.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508975","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

Assessment of compressor control in photovoltaic-driven air conditioner based on dynamic programing

IF 9 1区工程技术

Renewable Energy Pub Date : 2025-02-21 DOI: 10.1016/j.renene.2025.122733

Houpei Li , Cheng Huang , Sihui Li , Jinqing Peng

{"title":"Assessment of compressor control in photovoltaic-driven air conditioner based on dynamic programing","authors":"Houpei Li , Cheng Huang , Sihui Li , Jinqing Peng","doi":"10.1016/j.renene.2025.122733","DOIUrl":"10.1016/j.renene.2025.122733","url":null,"abstract":"<div><div>The demand for energy efficient and low carbon operation of air conditioning systems has increased significantly in recent years, driven by both rising global temperatures and the growing energy consumption of buildings. Photovoltaic-driven air conditioner (PVAC) systems utilize solar energy to power air conditioning, providing a sustainable solution to reduce building energy consumption and carbon emissions. In this study, a PVAC model, a resistance and capacitance building model, an air conditioning model and evaluators model are established and integrated into a comprehensive simulation framework. A dynamic programming (DP) strategy is developed for optimizing the operation of a photovoltaic-driven air conditioner, focusing on compressor speed scheduling to balance multiple objectives: minimizing operational costs and carbon emissions, maximizing PV self-consumption, and maintaining indoor thermal comfort. The DP algorithm successfully optimizes PVAC systems with the performance significantly influenced by evaluation indicators. Additionally, integrating photovoltaic generation with outdoor condition predictions further enhances PVAC system efficiency. The research highlights the capacity of DP-based compressor speed scheduling to achieve multiple objectives. The findings contribute to advancing predictive scheduling approaches for energy-efficient, sustainable building operations.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122733"},"PeriodicalIF":9.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487729","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

Improved MPPT of solar PV Systems under different Environmental conditions utilizes a Novel Hybrid PSO

IF 9 1区工程技术

Renewable Energy Pub Date : 2025-02-21 DOI: 10.1016/j.renene.2025.122709

Muhammad Zain Yousaf , Mohsin Ali Koondhar , Zaki A. Zaki , Emad M. Ahmed , Zuhair Muhammed Alaas , Ibrahim Mahariq , Josep M. Guerrero

{"title":"Improved MPPT of solar PV Systems under different Environmental conditions utilizes a Novel Hybrid PSO","authors":"Muhammad Zain Yousaf , Mohsin Ali Koondhar , Zaki A. Zaki , Emad M. Ahmed , Zuhair Muhammed Alaas , Ibrahim Mahariq , Josep M. Guerrero","doi":"10.1016/j.renene.2025.122709","DOIUrl":"10.1016/j.renene.2025.122709","url":null,"abstract":"<div><div>Partial shading conditions (PSCs) and their negative impact on photovoltaic system (PVS) performance have been well studied over past decade. This has prompted researchers to explore methods to reduce impact of PV shading. In this study comparison between ant colony optimization (ACO), grey wolf optimization (GWO), cuckoo search (CS), perturb and observe (P&O) algorithm, and particle swarm optimization (PSO) algorithms with hybrid PSO (HPSO) have been investigated under PSC and without PSC. One of ultimate and desired evolutionary research techniques is PSO, which bestow excessive tracking speeds (TS) and has capacity to operate under varying environmental conditions. Many mitigations and enhancements have been made in recent lifespan to address the usual defects traditional PSO techniques. This paper presents a comparative analysis of six parameters as irradiance, PV current, buck boost current, PV voltage, bus voltage, power using different algorithms with respect to hybrid PSO (HPSO). However, the HSPO is a faster convergence rate than the PSO-based MPPT method. At different PSC the 27 % efficiency of PVS is achieved using HPSO. It is concluded that the HPSO is superior to other algorithm due to tracking performance, computational overhead decreases, reduction of search space, reduced oscillation, reduction of search space, and tracking efficiency.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122709"},"PeriodicalIF":9.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487730","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

A meta-model based cross-sectional shape of a Savonius hydrokinetic turbine for sustainable power generation in remote rural areas

IF 9 1区工程技术

Renewable Energy Pub Date : 2025-02-21 DOI: 10.1016/j.renene.2025.122647

Esteban Paniagua-García , Elkin Taborda , César Nieto-Londoño , Julian Sierra-Pérez , Rafael E. Vásquez , Juan C. Perafán-López

{"title":"A meta-model based cross-sectional shape of a Savonius hydrokinetic turbine for sustainable power generation in remote rural areas","authors":"Esteban Paniagua-García , Elkin Taborda , César Nieto-Londoño , Julian Sierra-Pérez , Rafael E. Vásquez , Juan C. Perafán-López","doi":"10.1016/j.renene.2025.122647","DOIUrl":"10.1016/j.renene.2025.122647","url":null,"abstract":"<div><div>Energy accessibility and transition converge on exploring non-conventional renewable energy sources and the technology to harness them. An interesting and abundant resource is hydrokinetics. This work presents a Savonius cross-sectional blade shape modification that enhances the turbine performance in low-flow speed applications through a metamodel-based process. The blade profile is described by a Bézier curve control point as the parametrization strategy for generating a set of geometries to evaluate with COMSOL CFD. The obtained performance parameter of each geometry is defined as the output, and their control points parameters as inputs. This data set is utilized to train an Artificial Neural Network (ANN) to describe the interaction of blade shape and performance. The ANN is subsequently used as the target function in a Genetic Algorithm, to get the blade shape that best fits the model. A geometry with a power coefficient of 0.2405 results in an operational condition of 0.8 m/s flow speed at 1.1 Tip-Speed-Ratio. It means a performance increase of 8.3% compared with a standard turbine in the same conditions. This achievement leads to the implementation of this technology to supply the base load of rural households with a riverine resource of around 1 m/s flow speed.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122647"},"PeriodicalIF":9.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of the use of waste gasification in a hybrid generation system to supply an industrial demand and power grid through cable pooling

IF 9 1区工程技术

Renewable Energy Pub Date : 2025-02-21 DOI: 10.1016/j.renene.2025.122721

Autorzy: Jacek Roman , Beata Klojzy-Karczmarczyk , Robert Wróblewski , Bartosz Ceran

{"title":"Analysis of the use of waste gasification in a hybrid generation system to supply an industrial demand and power grid through cable pooling","authors":"Autorzy: Jacek Roman , Beata Klojzy-Karczmarczyk , Robert Wróblewski , Bartosz Ceran","doi":"10.1016/j.renene.2025.122721","DOIUrl":"10.1016/j.renene.2025.122721","url":null,"abstract":"<div><div>This article explores the enhancement of a hybrid electricity generation system by incorporating waste gasification and a gas engine (GE), alongside existing wind and photovoltaic sources and batteries. The primary objective is to provide reliable power to industrial consumers while enabling the sale of excess electricity through cable pooling. The research limits are defined by the legal requirements in Poland. A wide range of gasifier-GE power is analyzed. The analysis reveals that the expansion improves consumer demand coverage. Increasing the nominal power of the gas engine further enhances coverage, reaching between 94 % and 99.5 %. In addition, it increases total electricity generation. However, the higher the power, the smaller the incremental gains. While NPV improves with higher GE power, CAPEX rises accordingly. The highest profitability index is observed at an engine power of 1.45 MW, reaching a value of 2.13. Despite the increase in electricity generation by 108–190 % and NPV by 97.6–130.4 %, the expansion results in a decline in the share of renewable energy and a rise in emissions, with increases of 104–142 %. The findings underscore the importance of system parameters in achieving a sustainable balance among energy production, economic viability, and environmental responsibility in hybrid renewable energy systems.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122721"},"PeriodicalIF":9.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487786","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 dependence modeling of wind speeds via adaptive-selected mixture pair copulas for scenario-based applications

IF 9 1区工程技术

Renewable Energy Pub Date : 2025-02-20 DOI: 10.1016/j.renene.2025.122650

Jinxing Hu , Pengqian Yan , Guoqiang Tan

{"title":"Spatiotemporal dependence modeling of wind speeds via adaptive-selected mixture pair copulas for scenario-based applications","authors":"Jinxing Hu , Pengqian Yan , Guoqiang Tan","doi":"10.1016/j.renene.2025.122650","DOIUrl":"10.1016/j.renene.2025.122650","url":null,"abstract":"<div><div>The increasing penetration of wind power generation brings significant challenges to the operation and planning of power systems. Appropriate uncertainty modeling of wind speeds is critical to ensure the reliability of optimal decisions, which requires special consideration of spatiotemporal coupled interdependence between wind speeds. However, using only a single type of function cannot fully describe the potential complex dependence structures in historical data, especially in high-dimensional cases, which may lead to serious dimensionality disasters of model. In this paper, a novel spatiotemporal dependence modeling method of wind speeds is presented to flexibly capture the underlying irregular dependency relationships by creatively introducing mixture pair copulas into C-vine structure. The model selection and parameter estimation of mixture pair copulas are carried out adaptively through iterative optimization in expectation maximization (EM) algorithm. Furthermore, a two-step spatiotemporal wind speed scenario generation method is developed based on the constructed model. Experimental results show that the model established by our proposed method can more accurately characterize the spatiotemporal dependence between wind speeds and generate scenarios consistent with the distribution of historical data.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122650"},"PeriodicalIF":9.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463935","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