Wind–Solar Resource Assessment and Optimal Siting in Desert–Gobi–Wilderness Regions: A Case Study of the Badain Jaran and Kumtag Deserts

With the advancement of China’s “dual carbon” targets, Desert–Gobi–Wilderness (DGW) regions have become strategic areas for large-scale renewable energy deployment. However, the intermittency and variability of wind and solar resources pose challenges to power system stability, necessitating systematic evaluation of their characteristics and complementarity. This study uses ERA5 reanalysis data (2013–2023) to assess wind and solar resources in the Badain Jaran and Kumtag Deserts. A multi-dimensional framework is developed, incorporating availability, intermittency, variability, and complementarity, and a GIS-based multi-criteria decision-making method is applied for site selection. Results show that the Badain Jaran Desert is characterised by strong wind resources (average wind power density: 235.16 W/m2) and is suitable for wind-dominated development, whereas the Kumtag Desert exhibits superior solar resources (221.08 W/m2), favouring photovoltaic deployment. Significant wind–solar complementarity is identified, particularly in the central-western Badain Jaran and northeastern Kumtag regions. Three high-suitability sites were identified, including two in the Badain Jaran Desert and one in the Kumtag Desert, all characterised by favourable topographic conditions and high engineering feasibility. This study provides a scientific basis and a methodological framework for the planning of wind–solar hybrid systems and coordinated ecological development in DGW regions.

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Publication Details

Journal
Wind
Published
2026-07-01
DOI
https://doi.org/10.3390/wind6030032
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Wind–Solar Resource Assessment and Optimal Siting in Desert–Gobi–Wilderness Regions: A Case Study of the Badain Jaran and Kumtag Deserts

H Wang, Bo Wang, Wenqian Xu, Xi Zhang et al.
Wind
Integrated Energy Systems Optimization
article

Wind–Solar Resource Assessment and Optimal Siting in Desert–Gobi–Wilderness Regions: A Case Study of the Badain Jaran and Kumtag Deserts

H Wang, Bo Wang, Wenqian Xu, Xi Zhang, Shijie Hu, Haoyuan Ma, Mengke Wang
article en

Abstract

With the advancement of China’s “dual carbon” targets, Desert–Gobi–Wilderness (DGW) regions have become strategic areas for large-scale renewable energy deployment. However, the intermittency and variability of wind and solar resources pose challenges to power system stability, necessitating systematic evaluation of their characteristics and complementarity. This study uses ERA5 reanalysis data (2013–2023) to assess wind and solar resources in the Badain Jaran and Kumtag Deserts. A multi-dimensional framework is developed, incorporating availability, intermittency, variability, and complementarity, and a GIS-based multi-criteria decision-making method is applied for site selection. Results show that the Badain Jaran Desert is characterised by strong wind resources (average wind power density: 235.16 W/m2) and is suitable for wind-dominated development, whereas the Kumtag Desert exhibits superior solar resources (221.08 W/m2), favouring photovoltaic deployment. Significant wind–solar complementarity is identified, particularly in the central-western Badain Jaran and northeastern Kumtag regions. Three high-suitability sites were identified, including two in the Badain Jaran Desert and one in the Kumtag Desert, all characterised by favourable topographic conditions and high engineering feasibility. This study provides a scientific basis and a methodological framework for the planning of wind–solar hybrid systems and coordinated ecological development in DGW regions.

WindVol. 6(3)
North China Electric Power University (CN), China University of Mining and Technology (CN), Beijing Forestry University (CN), China Electric Power Research Institute
Science and Technology Project of State Grid
Affordable and clean energy
Openalex Percentile: Top 12%
Integrated Energy Systems Optimization
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