{"title":"Spatially-optimized photovoltaic site selection in Algeria: Assessing solar potential using high-resolution data, GIS, and multicriteria analysis","authors":"Y. Halimi , S. Halimi , Z. Bouzid , N. Ghellai","doi":"10.1016/j.enconman.2024.119176","DOIUrl":null,"url":null,"abstract":"<div><div>The identification of appropriate locations for photovoltaic (PV) solar power plants presents a multifaceted challenge that entails a complex interplay of diverse criteria. Algeria, which has a clear advantage in becoming a major player in the field of solar energy production, has in recent years intensified programs aimed at taking full advantage of this potential. Therefore, in order to provide the necessary assistance to the government and all the operators wishing to install photovoltaic systems in this country, this paper aims to present a research methodology that combines Geographic Information System (GIS) analysis, Multi-Criteria Decision-Making (MCDM) techniques, and off-site measurements to identify the most suitable sites for off-grid PV facilities installation across Algeria. However, before reaching the main objective, a refined digital elevation model (DEM) was developed. In addition, monthly mean values of global daily horizontal and tilted irradiance for a typical meteorological year were calculated, facilitating the mapping of these two quantities over the 12 months. Finally, the annual sum of photovoltaic energy produced by a PV power plant with a total installed capacity of <span><math><mrow><mn>1</mn><mspace></mspace><mi>MWp</mi></mrow></math></span> was calculated, ranging from <span><math><mrow><mn>1535</mn><mspace></mspace><mi>MWh</mi><mo>/</mo><mi>MWp</mi></mrow></math></span> to <span><math><mrow><mn>2051</mn><mspace></mspace><mi>MWh</mi><mo>/</mo><mi>MWp</mi></mrow></math></span> per year depending on geographic location. The Analytic Hierarchy Process (AHP) was used to evaluate multiple criteria and prioritize the most suitable areas, classifying Algeria into seven distinct grades: “Somewhat suitable”, covering 36.4030% of the total country, followed by “Moderately suitable” at 32.4613% and “Very suitable” at 11.2877%. “Marginally suitable” lands comprise 15.8632%, while “Highly suitable” and “Minimally suitable” areas account for 2.0042% and 1.7342%, respectively. The “Extremely suitable” sites cover the smallest area at 0.2463% and are located primarily in the Southeast and East–Southeast regions. The outcome of this research is an updated Solar Atlas of Algeria and a high-resolution suitability map showing the spatio-temporal variability of PV potential across the country.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"323 ","pages":"Article 119176"},"PeriodicalIF":9.9000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Conversion and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0196890424011178","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The identification of appropriate locations for photovoltaic (PV) solar power plants presents a multifaceted challenge that entails a complex interplay of diverse criteria. Algeria, which has a clear advantage in becoming a major player in the field of solar energy production, has in recent years intensified programs aimed at taking full advantage of this potential. Therefore, in order to provide the necessary assistance to the government and all the operators wishing to install photovoltaic systems in this country, this paper aims to present a research methodology that combines Geographic Information System (GIS) analysis, Multi-Criteria Decision-Making (MCDM) techniques, and off-site measurements to identify the most suitable sites for off-grid PV facilities installation across Algeria. However, before reaching the main objective, a refined digital elevation model (DEM) was developed. In addition, monthly mean values of global daily horizontal and tilted irradiance for a typical meteorological year were calculated, facilitating the mapping of these two quantities over the 12 months. Finally, the annual sum of photovoltaic energy produced by a PV power plant with a total installed capacity of was calculated, ranging from to per year depending on geographic location. The Analytic Hierarchy Process (AHP) was used to evaluate multiple criteria and prioritize the most suitable areas, classifying Algeria into seven distinct grades: “Somewhat suitable”, covering 36.4030% of the total country, followed by “Moderately suitable” at 32.4613% and “Very suitable” at 11.2877%. “Marginally suitable” lands comprise 15.8632%, while “Highly suitable” and “Minimally suitable” areas account for 2.0042% and 1.7342%, respectively. The “Extremely suitable” sites cover the smallest area at 0.2463% and are located primarily in the Southeast and East–Southeast regions. The outcome of this research is an updated Solar Atlas of Algeria and a high-resolution suitability map showing the spatio-temporal variability of PV potential across the country.
期刊介绍:
The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics.
The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.