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Author:

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

Indexed by:

SSCI EI Scopus SCIE

Abstract:

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

Keyword:

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

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

Resources, Conservation and Recycling

ISSN: 0921-3449

Year: 2021

Volume: 168

1 3 . 2 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:94

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 110

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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