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作者:

Sun, Lijian (Sun, Lijian.) | Jiang, Yuncheng (Jiang, Yuncheng.) | Guo, Qingsheng (Guo, Qingsheng.) | Ji, Ling (Ji, Ling.) (学者:嵇灵) | Xie, Yulei (Xie, Yulei.) | Qiao, Qinhua (Qiao, Qinhua.) | Huang, Guohe (Huang, Guohe.) | Xiao, Kun (Xiao, Kun.)

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SSCI EI SCIE

摘要:

By combining geographic information systems (GIS) and multi-criteria decision making (MCDM) method, this paper presents a framework to evaluate the suitable location and technical potentials for large-scale solar photovoltaic (PV) and concentrated solar power (CSP) plants. With the assist of spatial tools, the potential locations are identified by extracting restrictive criteria (e.g. protected area, land cover, transport infrastructure, and orography). Using MCDM, the land suitability for PV and CSP plants is evaluated with the comprehensive consideration of different factors, such as climate, orography, water availability, and location, where factor weights are calculated by the analytic hierarchy process (AHP) method. The study framework is illustrated by Ningxia, China, a key energy project area along the Belt and Road with abundant solar radiation. The obtained results suggested that the middle area of Ningxia is recommended for the solar power plant deployment. Besides, due to the limitation of water resource availability, PV technology is more appropriate for the study area than CSP technology. The estimated total technical potentials of PV and CSP systems could be 443 TWh/year and 308 TWh/year, indicating great potential for future solar energy development to enhance the renewable energy supply and participate in energy cooperation with the other regions. Moreover, sensitivity analysis is conducted to investigate the impacts of system efficiency variation on energy output. The results can be used for the identification of the potential areas for solar power plant installation, as well as support for the synergic expansion of generation plants and the power grid. © 2020

关键词:

Analytic hierarchy process Conservation Decision making Electric power transmission networks Energy policy Geographic information systems Large scale systems Location Sensitivity analysis Solar energy Solar power generation Solar power plants Water resources

作者机构:

  • [ 1 ] [Sun, Lijian]College of Resource and Environmental Science, Wuhan University, Wuhan; 430072, China
  • [ 2 ] [Sun, Lijian]Chinese Academy of Surveying & Mapping, Beijing; 100830, China
  • [ 3 ] [Jiang, Yuncheng]Chinese Academy of Surveying & Mapping, Beijing; 100830, China
  • [ 4 ] [Jiang, Yuncheng]School of Geomatics, Liaoning Technical University, Fuxin; 123000, China
  • [ 5 ] [Guo, Qingsheng]College of Resource and Environmental Science, Wuhan University, Wuhan; 430072, China
  • [ 6 ] [Ji, Ling]School of Economics and Management, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [Xie, Yulei]School of Environment, Environmental and Ecological Engineering Institute, Guangdong University of Technology, Guangzhou; Guangdong; 510006, China
  • [ 8 ] [Qiao, Qinhua]Chinese Academy of Surveying & Mapping, Beijing; 100830, China
  • [ 9 ] [Huang, Guohe]Faculty of Engineering and Applied Science, University of Regina, Regina; Sask; S4S 0A2, Canada
  • [ 10 ] [Xiao, Kun]Wuhan Geomatics Institute, Wuhan; 430022, China

通讯作者信息:

  • [guo, qingsheng]college of resource and environmental science, wuhan university, wuhan; 430072, china

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来源 :

Resources, Conservation and Recycling

ISSN: 0921-3449

年份: 2021

卷: 168

1 3 . 2 0 0

JCR@2022

ESI学科: ENVIRONMENT/ECOLOGY;

ESI高被引阀值:7

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WoS核心集被引频次: 0

SCOPUS被引频次: 73

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