层次分析法
选址
成对比较
能见度
选择(遗传算法)
计算机科学
运筹学
软件
日照时长
发电站
环境科学
可靠性工程
工程类
地理
气象学
相对湿度
人工智能
电气工程
政治学
法学
程序设计语言
作者
Pedram Ahadi,Farbod Fakhrabadi,A. Pourshaghaghy,Farshad Kowsari
标识
DOI:10.1016/j.renene.2023.118944
摘要
As a vast country with average solar radiation of 4.5 kW-hours per square meter, Iran enjoys a very high potentiality for initiating and utilizing solar systems and, in particular, electricity generation from solar power plants. Optimal site selection for solar power plants requires making multi-criteria decisions. Analytic Hierarchy Process (AHP) is one of the most comprehensive multi-criteria decision-making tools. The present study was conducted to select a regionally optimal site regarding climatic conditions using AHP and the Expert Choice software. Certain criteria and sub-criteria such as the amount of radiation, the number of sunny days, the average temperature, the amount of humidity, the amount of rainfall, the level of visibility, and the cloudiness factor were regarded. To select an optimal site using AHP and Expert Choice software, after specifying the hierarchic levels, including the target, criteria, sub-criteria, and alternatives (intended sites), pairwise comparison was made between the sets to weigh them up. The provincial centers of Iran were considered in the study and Zahedan has been selected as the best location for constructing a solar power plant. Moreover, a sensitivity analysis on the major criteria was performed and the impacts of parameter weight on the alternatives were assessed.
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