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Author:

Sun, Lijian (Sun, Lijian.) | Jiang, Yuncheng (Jiang, Yuncheng.) | Guo, Qingsheng (Guo, Qingsheng.) | Ji, Ling (Ji, Ling.) | 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.

Keyword:

Potential assessment Geographic information system Solar energy Site suitability analysis Multi-criteria decision making

Author Community:

  • [ 1 ] [Sun, Lijian]Wuhan Univ, Coll Resource & Environm Sci, Wuhan 430072, Peoples R China
  • [ 2 ] [Guo, Qingsheng]Wuhan Univ, Coll Resource & Environm Sci, Wuhan 430072, Peoples R China
  • [ 3 ] [Sun, Lijian]Chinese Acad Surveying & Mapping, Beijing 100830, Peoples R China
  • [ 4 ] [Jiang, Yuncheng]Chinese Acad Surveying & Mapping, Beijing 100830, Peoples R China
  • [ 5 ] [Qiao, Qinhua]Chinese Acad Surveying & Mapping, Beijing 100830, Peoples R China
  • [ 6 ] [Jiang, Yuncheng]Liaoning Tech Univ, Sch Geomat, Fuxing 123000, Peoples R China
  • [ 7 ] [Ji, Ling]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 8 ] [Xie, Yulei]Guangdong Univ Technol, Sch Environm, Environm & Ecol Engn Inst, Guangzhou 510006, Guangdong, Peoples R China
  • [ 9 ] [Huang, Guohe]Univ Regina, Fac Engn & Appl Sci, Regina, SK S4S 0A2, Canada
  • [ 10 ] [Xiao, Kun]Wuhan Geomat Inst, Wuhan 430022, Peoples R China

Reprint Author's Address:

  • [Guo, Qingsheng]Wuhan Univ, Coll Resource & Environm Sci, Wuhan 430072, Peoples R China;;[Ji, Ling]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R 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: 4

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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