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Suitability analysis for implementing wind and solar farms based AHP method: Case study in Inner Mongolia, China.

Authors :
Liu, Ting
Zhang, Tao
Zou, Yunjia
Wang, Guanghui
Dai, Hailun
Zhang, Wei
Source :
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 48 Issue 1, p417-423, 7p
Publication Year :
2024

Abstract

As important green energy, wind power and photovoltaic power have great development prospects. The suitability evaluation of wind and solar power plants is a popular research field, which is related to the sustainable and healthy development of wind and solar power generation. In this paper, based on multiple dimensions such as land types, climatic conditions, topographic features and policy environment, we selected 10 indicators and combined (analytical hierarchy process) AHP method to build a suitability assessment model for evaluating the suitability of solar and wind power in Inner Mongolia, China. The findings revealed that, Inner Mongolia has a great potential to generate wind and solar electricity, for wind power, the category of 'excellent' regions covers 83855 km<superscript>2</superscript> and represents 7.10% of the total surface area; for solar power, 7.66% (nearly 90420 km<superscript>2</superscript>) are classified as 'excellent'. The suitability of both solar and wind energy in the western region is considered to have the most suitable development region, parts of Alxa League and Bayannur City have great potential for combined wind and solar power generation. The research results could provide important technical and data support for capacity evaluation and power station location decision. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16821750
Volume :
48
Issue :
1
Database :
Complementary Index
Journal :
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences
Publication Type :
Academic Journal
Accession number :
177679045
Full Text :
https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-417-2024