A multi-factor spatio-temporal correlation analysis method for PV development potential estimation
Xiang, Yue1; Tang, Qingwei1; Xu, Weiting2; Hu, Shuai3; Zhao, Pengfei4; Guo, Jingrong1; Liu, Junyong1
发表期刊RENEWABLE ENERGY
ISSN0960-1481
2024-03-01
卷号223页码:14
通讯作者Tang, Qingwei(ttangqingwei@163.com)
摘要The impact of wind speed on PV power generation is influenced by the monsoon and the complex topography and environmental factors found in mountainous areas. This complexity can reduce the correlation between PV power and irradiance. To better understand the impact of wind speed, we conducted an analysis in various topographical regions of the Hengduan Mountain in China. Our findings show that high wind speeds can enhance PV utilization, particularly in plateau and hill regions. This is due to the blocking and lifting effect of the northsouth oriented mountains on the east-west wind, as well as the channeling effect on the north-south wind. To improve the efficiency of utilizing solar energy, it is important to consider the spatial distribution of wind speed when developing PV. Correlation analysis of multi-factors on a spatial and temporal scale can also offer insight. Furthermore, planning the layout of PV systems with meteorological resources in mind can enhance PV utilization in complex mountainous terrain.
关键词PV power generation Correlation analysis Probability distribution XGBoost Development potential
DOI10.1016/j.renene.2024.119962
关键词[WOS]CLIMATE-CHANGE ; IMPACT ; CHINA
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[U2166211]
项目资助者National Natural Science Foundation of China
WOS研究方向Science & Technology - Other Topics ; Energy & Fuels
WOS类目Green & Sustainable Science & Technology ; Energy & Fuels
WOS记录号WOS:001162519100001
出版者PERGAMON-ELSEVIER SCIENCE LTD
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/55616
专题舆论大数据科学与技术应用联合实验室
通讯作者Tang, Qingwei
作者单位1.Sichuan Univ, Coll Elect Engn, Chengdu, Peoples R China
2.Sichuan New Elect Power Syst Res Inst, Chengdu, Peoples R China
3.State Grid Ningxia Elect Power Ecotech Res Inst, Yinchuan, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China
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GB/T 7714
Xiang, Yue,Tang, Qingwei,Xu, Weiting,et al. A multi-factor spatio-temporal correlation analysis method for PV development potential estimation[J]. RENEWABLE ENERGY,2024,223:14.
APA Xiang, Yue.,Tang, Qingwei.,Xu, Weiting.,Hu, Shuai.,Zhao, Pengfei.,...&Liu, Junyong.(2024).A multi-factor spatio-temporal correlation analysis method for PV development potential estimation.RENEWABLE ENERGY,223,14.
MLA Xiang, Yue,et al."A multi-factor spatio-temporal correlation analysis method for PV development potential estimation".RENEWABLE ENERGY 223(2024):14.
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