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Toward optimal wide-area site identification and capacity assessment of wind and solar power: A data-driven GIS-MCDM framework with application in Northwest China

delete2026-08-08
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PRE
AI
J
Jianling Li
韩
韩炜 (Wei Han)
P
Pengfei Wang
D
Diyi Chen
M
Meng Zhang
Z
Ziwen Zhao
Q
Qiang Pan
X
Xiaohui Wang *
DOI：10.1016/j.renene.2026.126255delete
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Abstract

Abstract

En 中文
• Automated spatial MCDM framework developed for large-scale wind and PV siting. • Two-stage weight allocation resolves criterion interdependencies in planning. • High-resolution assessment reveals over 4700 GW wind-PV potential in NW China. • Strategic site suitability maps mitigate conflicts with ecological redlines. • Siting strategies provide spatial basis for multi-energy systems management.

Journal

Renewable Energy cover
Renewable Energy
IF:
9.1
Papers:
2.6W
Citations:
12.1W

Organization

N
Northwest A&F University
Scholars:
9.5K
Papers: 2.5K
Citations: 4.2W
L
lanzhou university of technology
Scholars:
1.1W
Papers: 6.7K
Citations: 4
Cited Papers

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