Journal of Renewable and Sustainable Energy最新文献_第8页

Performance analysis of a novel solar radiation cascade conversion system for combined heat and power generation based on spectrum splitting and reshaping 基于光谱分裂和整形的新型热电联产太阳辐射级联转换系统的性能分析

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2023-05-01 DOI: 10.1063/5.0145302

Haojin Wu, Shi-quan Shan, Zhijun Zhou

{"title":"Performance analysis of a novel solar radiation cascade conversion system for combined heat and power generation based on spectrum splitting and reshaping","authors":"Haojin Wu, Shi-quan Shan, Zhijun Zhou","doi":"10.1063/5.0145302","DOIUrl":"https://doi.org/10.1063/5.0145302","url":null,"abstract":"In this paper, a novel cascading solar photovoltaic system with concentrating spectrum splitting and reshaping for combined heat and power generation is proposed for the first time to break through the limitations of photovoltaic efficiency. Two spectral splitters divide the solar spectrum into three parts, and each part of the spectrum is used by photovoltaics, thermophotovoltaics, and heat exchange fluids according to the photon grade. In addition, the heat exchange fluid also recovers the waste heat of concentrating photovoltaic and thermophotovoltaic cells. Therefore, the system achieves solar energy cascade utilization and has high electrical and thermal efficiency simultaneously. The effect of the fluid flow rate, solar irradiance, and cutoff wavelength of the spectral splitter on the hybrid system is discussed. The results show that under the conditions of 1000 sunlight and outlet fluid temperature of 60 °C, the solar energy conversion rate and exergy efficiency of the hybrid system are 90.17% and 39.84%, which are 63.97 percentage points and 11.62 percentage points higher than those of the single photovoltaic system, respectively.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45941100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Machine learning for modern power distribution systems: Progress and perspectives 现代配电系统的机器学习:进展与展望

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2023-05-01 DOI: 10.1063/5.0147592

M. Marković, Matthew Bossart, B. Hodge

{"title":"Machine learning for modern power distribution systems: Progress and perspectives","authors":"M. Marković, Matthew Bossart, B. Hodge","doi":"10.1063/5.0147592","DOIUrl":"https://doi.org/10.1063/5.0147592","url":null,"abstract":"The application of machine learning (ML) to power and energy systems (PES) is being researched at an astounding rate, resulting in a significant number of recent additions to the literature. As the infrastructure of electric power systems evolves, so does interest in deploying ML techniques to PES. However, despite growing interest, the limited number of reported real-world applications suggests that the gap between research and practice is yet to be fully bridged. To help highlight areas where this gap could be narrowed, this article discusses the challenges and opportunities in developing and adapting ML techniques for modern electric power systems, with a particular focus on power distribution systems. These systems play a crucial role in transforming the electric power sector and accommodating emerging distributed technologies to mitigate the impacts of climate change and accelerate the transition to a sustainable energy future. The objective of this article is not to provide an exhaustive overview of the state-of-the-art in the literature, but rather to make the topic accessible to readers with an engineering or computer science background and an interest in the field of ML for PES, thereby encouraging cross-disciplinary research in this rapidly developing field. To this end, the article discusses the ways in which ML can contribute to addressing the evolving operational challenges facing power distribution systems and identifies relevant application areas that exemplify the potential for ML to make near-term contributions. At the same time, key considerations for the practical implementation of ML in power distribution systems are discussed, along with suggestions for several potential future directions.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46512191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Research on distributed photovoltaic power prediction based on spatiotemporal information ensemble method 基于时空信息集成方法的分布式光伏发电功率预测研究

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2023-05-01 DOI: 10.1063/5.0150186

Xiyun Yang, Zeyu Zhao, Yan Peng, Junchao Ma

{"title":"Research on distributed photovoltaic power prediction based on spatiotemporal information ensemble method","authors":"Xiyun Yang, Zeyu Zhao, Yan Peng, Junchao Ma","doi":"10.1063/5.0150186","DOIUrl":"https://doi.org/10.1063/5.0150186","url":null,"abstract":"Distributed photovoltaic power generation can efficiently utilize idle resources and reduce carbon emissions. In order to reduce the impact of grid-connected distributed photovoltaic power fluctuations on grid operation, this paper simultaneously exploits the temporal dependence of power series and the spatial correlation of meteorological data to propose a combined prediction model with temporal characteristics and spatial relationships fused for distributed photovoltaic power plants with spatiotemporal information. First, in the study of time-dependent prediction, we propose a long and short-term memory neural network ensemble prediction model based on genetic algorithm-natural gradient boosting, which efficiently fits multiple sets of temporal characteristics of distributed photovoltaic. In the study of spatial correlation prediction, the meteorological data affecting photovoltaic power generation are selected by κ correlation coefficients, the target power plant and spatial reference power plant meteorological data are reconstructed into a two-dimensional matrix, and a two-dimensional convolutional neural network spatial feature extraction power prediction model is designed. Finally, the advantages of the two prediction models of temporal information and spatial features are fused by multiple error evaluation criteria improved information entropy, and a distributed photovoltaic power plant is constructed and implements highly accurate spatiotemporal information combination prediction model. The effect of the forecasting model in this study is validated using the photovoltaic cluster dataset in Hebei Province, China. Compared with other models, the results of this study show that the five prediction performance evaluation metrics of the proposed combined spatiotemporal information model are better.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48727893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 1

Aerodynamic wake characteristics analysis of floating offshore wind turbine under platform pitching and yawing motions 浮式海上风机在平台俯仰和偏航运动下的气动尾流特性分析

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2023-05-01 DOI: 10.1063/5.0148352

Danmei Hu, L. Zeng, Liwei Deng, J. Yin, Jiang Liu

引用次数: 0

Performance and emission characteristics of CI engine using hydrogen enrichment in biodiesel blend with additives—A review 掺加添加剂的生物柴油加氢燃烧CI发动机的性能和排放特性

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2023-05-01 DOI: 10.1063/5.0143669

Deepalika Mehra, Vijay Kumar, A. Choudhary, M. Awasthi

{"title":"Performance and emission characteristics of CI engine using hydrogen enrichment in biodiesel blend with additives—A review","authors":"Deepalika Mehra, Vijay Kumar, A. Choudhary, M. Awasthi","doi":"10.1063/5.0143669","DOIUrl":"https://doi.org/10.1063/5.0143669","url":null,"abstract":"It is an irresistible argument that there is a requirement for sustainable resources for energy production as there is an enormous rise in demand for energy. Various sectors involve a wide range of energy consumption shares. Conventional fuels are exhaustible and can be replaced with sustainable substitutes, i.e., biofuels including bio-ethanol, biogas, and biodiesel. Recently, biodiesel has gained popularity due to the availability and affordability of feedstock. To extract biodiesel from vegetable oils, the transesterification process is widely used. Biodiesel blends can be used as a direct substitute in diesel engines, which may result in a slight reduction in hydrocarbons, carbon monoxide, and an increase in oxides of nitrogen. The performance parameters may increase or decrease depending on the blend type and calorific value. The objective of this review is to analyze the performance and emission characteristics of second and third-generation biodiesel blends enriched with hydrogen and to explore techniques for improvement such as the addition of additives. Research has shown that the addition of hydrogen improves combustion, resulting in increased brake thermal efficiency and reduced brake specific fuel consumption. Similarly, the inclusion of additives can reduce the production of oxides of nitrogen during combustion. In conclusion, biodiesel blends enriched with hydrogen and additives can offer improved performance, combustion, and emission characteristics. To meet energy demand sustainably and reduce reliance on conventional fuels, further research is necessary to ensure the long-term viability of biodiesel as a sustainable energy source.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42519514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 3

Study on aerodynamic performance of inverted cone vertical axis wind turbine with different rotor configurations 不同转子构型倒锥垂直轴风力机气动性能研究

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2023-05-01 DOI: 10.1063/5.0145195

Lei Zhang, Ao Wang, J. Qu, E. Benini

{"title":"Study on aerodynamic performance of inverted cone vertical axis wind turbine with different rotor configurations","authors":"Lei Zhang, Ao Wang, J. Qu, E. Benini","doi":"10.1063/5.0145195","DOIUrl":"https://doi.org/10.1063/5.0145195","url":null,"abstract":"Offshore wind resources are abundant. Vertical axis wind turbines (VAWTs) are suitable for working in the sea environment because of their low cost and high reliability. In this paper, an offshore floating inverted cone vertical axis wind turbine (ICVAWT) is proposed. The 3D unsteady computational fluid dynamics (CFD) method is utilized to model the ICVAWT. The turbulence model SST k−ω is used to solve the Navier–Stokes equation, and the setting parameters of the solver and the independent grid are determined. The scale experimental prototype is designed using the similarity theory and the wind tunnel experiment is carried out. The experimental results verify the validity of the CFD model. The aerodynamic performance of nine ICVAWT configurations is analyzed by using the CFD model, and the effects of inverted cone angle and blade number on the power coefficient and operation stability of the ICVAWT are studied. It is found that when the inverted cone angle is 45°, and the number of blades is three (called the optimal configuration), the power coefficient is the highest at 0.309 (the optimal tip speed ratio is 3.5). With the increase in inverted cone angle and blade number, the fluctuation of wind turbine operating torque decreases. According to the distribution of each physical quantity in the flow field, the changes in aerodynamic performance are explained. Further research on the optimized configuration is carried out.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43516063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 Hybrid Hour-ahead Wind Power Prediction Model Based on Variational Mode Decomposition and Bio-Inspired LSTM 基于变分模式分解和生物启发LSTM的混合小时前风电预测模型

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2023-04-18 DOI: 10.1063/5.0138488

Jing Xia, Z. Yuan, D. Tian, Shulin Li, Haitao He, Peng Li

{"title":"A Hybrid Hour-ahead Wind Power Prediction Model Based on Variational Mode Decomposition and Bio-Inspired LSTM","authors":"Jing Xia, Z. Yuan, D. Tian, Shulin Li, Haitao He, Peng Li","doi":"10.1063/5.0138488","DOIUrl":"https://doi.org/10.1063/5.0138488","url":null,"abstract":"Wind power, as an eco-friendly renewable energy, has been widely integrated into modern power systems. The prediction accuracy of wind power is crucial to the secure operation of power systems. To improve the prediction accuracy, a hybrid hour-ahead wind power prediction method is presented in this paper. Firstly, the variational mode decomposition (VMD) is used to decompose the original wind power sequences into a set of intrinsic mode functions (IMFs) with different frequencies. Then, the prediction model is formulated by using the long short term memory (LSTM) network for each IMF. To enhance the LSTM, a bio-inspired algorithm named Harris Hawk optimization (HHO) is blended to optimize the parameters of each LSTM prediction model. The final prediction output power is thus obtained by integrating all prediction results from these individual IMFs, so that the novel VMD-HHO-LSTM prediction strategy is developed. Finally, case studies based on the real historical dataset are performed, demonstrating that the proposed hybrid hour-ahead wind power prediction model named VMD-HHO-LSTM has better prediction performance and higher applicability to multiple dataset scenarios.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49543204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 1

Optimal Capacity of Variable-speed Pumped Storage for Wind Power Consumption based on Double-layer Stochastic Programming 基于双层随机规划的变速抽水蓄能风电消纳容量优化

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2023-03-15 DOI: 10.1063/5.0135560

Weiwei Yao, Wei Li, Rui Liu, Yong Sun

{"title":"Optimal Capacity of Variable-speed Pumped Storage for Wind Power Consumption based on Double-layer Stochastic Programming","authors":"Weiwei Yao, Wei Li, Rui Liu, Yong Sun","doi":"10.1063/5.0135560","DOIUrl":"https://doi.org/10.1063/5.0135560","url":null,"abstract":"Configuring a certain capacity of energy storage for the power system can effectively improve the reliability of the power supply and the level of wind power consumption. This paper takes pumped storage investment cost and wind power consumption demand as the optimization goal, realizes the coordinated operation of pumped storage units and thermal power units, and considers the uncertainty of wind power and load, the multi-time scale characteristics of different types of units and load demand response, and establishes a multi-time scale pumped storage capacity optimization model based on stochastic programming. The model consists of inner and outer layers. The outer layer is investment decision-making, which decides the allocation of pumped storage capacity. The inner layer is for optimization decision-making, and the optimization operation is carried out in three stages: day-ahead short-term, intraday ultra short-term and real-time optimization. An example of a typical scenario is established, and the planning results verify the effectiveness of the proposed model and method. The Thermal-Wind-Hydro power system's total cost decreases first and then increases with the increase of the installed capacity of the pumped storage, and the curtailment rate gradually decreases. The total cost increases faster when the pumped-storage installed capacity is larger than optimal. For a pumped-storage of the same capacity, VPS is better than FPS in reducing wind curtailment rate. The main reason is that its output is continuously adjustable under the condition of the variable-speed water pump, which is especially suitable for energy storage at night when wind power is high.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43515077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 1

Optimal allocation and energy management of a wind-hydrogen generation system equipped with the speed regulating differential mechanism 带调速差动机构的风电制氢系统的优化配置和能量管理

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2023-03-15 DOI: 10.1063/5.0134039

Wenliang Yin, Lin Liu, Yue Wang, Ziwei Wang, Junhui Li

{"title":"Optimal allocation and energy management of a wind-hydrogen generation system equipped with the speed regulating differential mechanism","authors":"Wenliang Yin, Lin Liu, Yue Wang, Ziwei Wang, Junhui Li","doi":"10.1063/5.0134039","DOIUrl":"https://doi.org/10.1063/5.0134039","url":null,"abstract":"The hybrid drive wind turbine (WT) can be friendly connected to the power grid by using a speed regulating differential mechanism (SRDM) instead of partially- or fully-rated converters, which has been considered as a promising solution for the stable consumption of large-scale wind power generation. To further improve the on-grid performance of hybrid drive WTs, this paper develops a multi-source power generation scheme, in which a hydrogen storage system (HSS) is integrated for mitigating the wind power generation intermittencies. The overall architecture and kinematic principles of the proposed wind-hydrogen generation system, called SRDM-based WT with HSS, are firstly analyzed. Then, the graphical descriptions of mathematical models are finalized via the Energetic Macroscopic Representation (EMR) method, by which the physical characteristics and energy flow relationships are revealed. To ensure the economical and stable operation of the proposed wind-hydrogen scheme, an effective optimal allocation framework, considering the uncertainties from wind power output and load demand, is presented to HSS, targeting the maximum annual revenue. The effects of several key HSS parameters on the capacity allocation results are also investigated. Moreover, aiming at the different system working modes, an energy management approach is synthesized to achieve the interaction analysis and power supervision between energy sources and storage elements. Finally, experimental and simulation case studies are demonstrated. Results illustrate the effectiveness of the proposed approaches and the optimal performance for uninterrupted on-grid operation of the proposed wind-hydrogen energy system.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49422378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 procedure set to construct the optimal energy saving retrofit strategy for old residential buildings in China 建立了构建中国旧住宅节能改造最佳策略的程序

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2023-03-07 DOI: 10.1063/5.0134055

Peng Wang, C. Ji, P. Yu, Lei Huang

{"title":"A procedure set to construct the optimal energy saving retrofit strategy for old residential buildings in China","authors":"Peng Wang, C. Ji, P. Yu, Lei Huang","doi":"10.1063/5.0134055","DOIUrl":"https://doi.org/10.1063/5.0134055","url":null,"abstract":"A key strategy for lowering emissions and reducing the effects of climate change is to execute energy-saving retrofits in residential buildings. Despite extensive research on different retrofit pathways for building energy efficiency, the current retrofitting of the aged housing stock in China is still constrained by several factors, including occupant willingness, government financial situation, and low energy prices, so that retrofitting projects are almost entirely government-led and most of the solutions of existing studies are not applicable. Therefore, a comprehensive optimization framework for low-budget compliance retrofit strategies in the Chinese context is urgently needed. In order to fill this gap, this study established a set of procedures for developing optimal energy-saving retrofit scheme in old residential buildings in Nanjing city. The results showed that the optimal scheme can reduce 18.52% of residential building energy consumption in five central districts of Nanjing City, and the total energy saving is about 260.43 GWh. The study also showed that improving wall insulation and HVAC (Heating, Ventilation, and Air Conditioning) systems were the most efficient retrofit measures but came at a high cost. Setting a reasonable air conditioning target temperature was further identified as the most cost-effective retrofit measure. This study provided a mechanism for district-level retrofit planners to formulate a strategy that may take the performance of retrofitting on the environment and the economy into account while still adhering to code requirements.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45763172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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: 2