基于GIS的光伏能源系统气候脆弱性研究——以高原地区为例

Yao Gnagbolou, M. Agbomahena, G. K. N'Gobi, Dr. Maurel Richy Aza-gnandji
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引用次数: 0

摘要

贝宁太阳能光伏发电潜力巨大(3.5-5.5千瓦时/平方米/天)。这种主要依赖太阳辐射的日常能源生产也因气候参数而有很大差异。高原部是一个主要开采和加工熟料和水泥的工业区。在这种产生粉尘的环境中,气象数据是非常动态的,是光伏能源转换链的输入参数,有时甚至是干扰因素。本文的目的是在贝宁高原地区确定光伏场的适当位置,以实现最佳的电能生产。该分析基于多准则决策方法(MCDM)和层次分析法(AHP),利用地理信息系统(GIS)。利用ArcGIS 10.8软件对不同脆弱性指标(全球水平辐射、温度、风速、风向、降水、相对湿度、云量、气溶胶)进行分类加权,叠加确定最佳光伏发电面积。结果表明,太阳辐照是光伏发电的最重要指标,光伏发电占比最高,为46.06%,气溶胶(粉尘)占比最低,为2.43%,大大降低了光伏发电的产量。考虑到所研究的参数,因此,从7°35′0″到7°39′0″N的科特头公社北部地区是最佳生产地点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Climate Vulnerability of Photovoltaic Energy Systems using GIS: Case of the Plateau Department
Benin has a large potential (3.5-5.5 kWh/m2 /day) for solar photovoltaic energy production. This daily energy production, which mainly depends on solar radiation, also varies considerably, depending on climatic parameters. The Plateau department is an industrial zone where mainly clinker and cement are mined and processed. In such an environment of dust production, meteorological data are very dynamic and act as input parameters or sometimes disruptors of the photovoltaic energy conversion chain. The aim of this paper is to determine the appropriate location of the photovoltaic field for optimal production of electrical energy, in the plateau department of Benin. The analysis is based on the multicriteria decision-making method (MCDM) and Analytic Hierarchical Process (AHP), using a Geographic Information System (GIS). ArcGIS 10.8 software was used to classify and weight the different vulnerability criteria (Global Horizontal Irradiation, Temperature, Wind Speed, Wind Direction, Precipitation, Relative Humidity, Cloud cover, and Aerosol), in order to determine the optimal photovoltaic power generation area by overlaying the layers. The result shows that solar irradiation is the most important criterion for better production of photovoltaic energy whose weight of 46.06% is the highest, and aerosol (dust), the lowest weight of 2.43%, considerably reduced energy production. The northern zone from 7°35’0″N-7°39’0″N of the commune of Ketou is therefore the best site for optimal production, considering the parameters studied.
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