Location of Mountain Photovoltaic Power Station Based on Fuzzy Analytic Hierarchy Process—Taking Longyang District, Baoshan City, Yunnan Province as an Example

Author:

Li Yiping12,Zhou Jingchun12,Feng Zhanyong12

Affiliation:

1. Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Faculty of Geography, Yunnan Normal University, Kunming 650500, China

2. Center for Geospatial Information Engineering and Technology of Yunnan Province, Faculty of Geography, Yunnan Normal University, Kunming 650500, China

Abstract

Site selection is a key link in the early stage of constructing a photovoltaic power station and providing accurate guidance for the development of such stations. Taking Longyang District, Baoshan City, Yunnan Province, as an example, this article utilizes land-use status data from the third national land survey. The study focuses on five land-use types: idle land, bare land, shrub land, forest land, and another grassland, while excluding interfering land types such as construction land, ecological conservation areas, and cultivated land. Thirteen factors including terrain, weather, environment, and neighboring resources are considered. By employing the fuzzy analytic hierarchy process, a site selection model is constructed to analyze the suitability of photovoltaic power station locations. This study emphasizes the influence of geological disaster factors when selecting environmental factors. Given the high frequency of geological disasters in mountainous areas, these factors significantly affect the safety of later-stage photovoltaic power station operations. Previous research has paid less attention to this factor. The results indicate a high level of suitability for photovoltaic site selection in Longyang District, Baoshan City, with suitable, moderately suitable, and unsuitable areas accounting for 20.09%, 34.14%, and 45.77%, respectively. Previous studies have lacked sufficient validation of site selection outcomes. In this research, validation is conducted using areas where photovoltaic power stations have already been established and are under construction within the region. The accuracy of this site selection method is found to be 92.78%. The aim is to provide a scientific reference for site selection in mountainous areas with photovoltaic power station construction needs.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference40 articles.

1. Analysis on the evolution of the compactness of the highland cities in Yunnan Province;Chen;Hubei Agric. Sci.,2022

2. Study on Green Energy Generation Efficiency Measurement and Countermeasures in Yunnan Province: Based on the Aggressive Cross-Evaluation DEA Model;Miao;Ecol. Econ.,2022

3. A GIS-based multi-criteria decision making method for the potential assessment and suitable sites selection of PV and CSP plants;Sun;Resour. Conserv. Recycl.,2020

4. Assessing the solar PV power project site selection in Pakistan: Based on AHP-fuzzy VIKOR approach;Solangi;Environ. Sci. Pollut. Res.,2019

5. Ma, Y. (2020). Research and Application of Location Selection Method of Solarphotovoltaic Power Station Based on GIS. [Ph.D. Thesis, Northern University for Nationalities].

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3