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High-resolution assessment of solar radiation and energy potential in China
Feng, Yu1; Zhang, Xueli1; Jia, Yue2; Cui, Ningbo3,4; Hao, Weiping1; Li, Hongyu5; Gong, Daozhi1
2021-07-15
Source PublicationENERGY CONVERSION AND MANAGEMENT
ISSN0196-8904
Volume240Pages:11
Corresponding AuthorGong, Daozhi(gongdaozhi@caas.cn)
AbstractGlobal solar radiation (Rs) is a key parameter for determining the energy yields of solar photovoltaic (PV) systems. However, long-term Rs data are not available in most regions of China, impeding the management and development of PV systems. In this study, a novel model for estimating Rs was developed and coupled with a PV power model and inverse distance weighting model to generate high-resolution Rs and PV power data over China. A large network of observations was used to provide forcing inputs (daily observations from 1961 to 2018, from 2123 meteorological stations). The spatiotemporal patterns of Rs and PV power in China were further quantified. The results indicate that the newly developed Rs model accurately represents the decadal variability of Rs in China during 1961-2018. Annual potential PV power exhibited a significantly decreasing trend from 1961 to 2018, with a significant decrease from 1961 to 1991 (-0.35 +/- 0.06 kWh m- 2 yr- 1, p 0.01) and nonsignificant decrease from 1992 to 2018 (-0.14 +/- 0.12 kWh m- 2 yr- 1, p 0.05). Owing to air quality improvements in the future, the potential PV power may increase over China, leading to large economic benefits. Western China is favored for its abundant PV power, whereas central and eastern China are the least favorable for PV power generation. Thus, the western part of China, with its excellent geographical potential, is an optimal location for the installation of solar PV power plants. Our findings provide practical information to solar energy industries, and can help in energy structure transitions, meeting the energy demand and contributing to carbon neutrality.
KeywordSolar radiation Photovoltaic power Spatial and temporal patterns Dimming Sunshine-based model Carbon neutrality
DOI10.1016/j.enconman.2021.114265
WOS KeywordEMPIRICAL-MODELS ; PHOTOVOLTAIC POWER ; TEMPERATURE ; MACHINE ; VARIABILITY ; POLLUTION ; PATTERNS
Indexed BySCI
Language英语
Funding ProjectChina Major Science and Technology Program for Water Pollution Control and Treatment[2017ZX07101003] ; National Natural Science Foundation of China[51679243] ; National Natural Science Foundation of China[31661143011] ; National Natural Science Foundation of China[51922072] ; Key Research and Development Program of Hebei Province[20327001D02] ; Key Research and Development Program of Hebei Province[20326412D02] ; Scientific Research Program of Higher Education in Hebei Province[QN2021227]
Funding OrganizationChina Major Science and Technology Program for Water Pollution Control and Treatment ; National Natural Science Foundation of China ; Key Research and Development Program of Hebei Province ; Scientific Research Program of Higher Education in Hebei Province
WOS Research AreaThermodynamics ; Energy & Fuels ; Mechanics
WOS SubjectThermodynamics ; Energy & Fuels ; Mechanics
WOS IDWOS:000659044100006
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/164034
Collection中国科学院地理科学与资源研究所
Corresponding AuthorGong, Daozhi
Affiliation1.Chinese Acad Agr Sci, State Engn Lab Efficient Water Use Crops & Disast, MOAR Key Lab Dryland Agr, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China
2.Hebei Univ Water Resources & Elect Engn, Dept Hydraul Engn, Cangzhou 061001, Peoples R China
3.Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China
4.Sichuan Univ, Coll Water Resource & Hydropower, Chengdu 610065, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modelling, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Feng, Yu,Zhang, Xueli,Jia, Yue,et al. High-resolution assessment of solar radiation and energy potential in China[J]. ENERGY CONVERSION AND MANAGEMENT,2021,240:11.
APA Feng, Yu.,Zhang, Xueli.,Jia, Yue.,Cui, Ningbo.,Hao, Weiping.,...&Gong, Daozhi.(2021).High-resolution assessment of solar radiation and energy potential in China.ENERGY CONVERSION AND MANAGEMENT,240,11.
MLA Feng, Yu,et al."High-resolution assessment of solar radiation and energy potential in China".ENERGY CONVERSION AND MANAGEMENT 240(2021):11.
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