High-Resolution Mapping of Concentrated Solar Power Site Suitability in Ghardaïa, Algeria: A GIS-Based Fuzzy Logic and Multi-Criteria Decision Analysis
Algeria primarily relies on fossil fuels to meet its growing electricity demand, significantly contributing to climate change and the depletion of non-renewable resources. In response, the Algerian government has initiated ambitious plans to integrate renewable energy into the national grid. While p...
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2025-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/10815944/ |
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| author | Abdelfetah Belaid Mawloud Guermoui Abdelkader Riche Toufik Arrif Hamdani Maamar Cherier Mohamed Kamel Abdelaziz Rabehi Mohamad Mahmoud Al Rahhal |
| author_facet | Abdelfetah Belaid Mawloud Guermoui Abdelkader Riche Toufik Arrif Hamdani Maamar Cherier Mohamed Kamel Abdelaziz Rabehi Mohamad Mahmoud Al Rahhal |
| author_sort | Abdelfetah Belaid |
| collection | DOAJ |
| description | Algeria primarily relies on fossil fuels to meet its growing electricity demand, significantly contributing to climate change and the depletion of non-renewable resources. In response, the Algerian government has initiated ambitious plans to integrate renewable energy into the national grid. While photovoltaic solar energy has received substantial attention over the past decade, the potential for Concentrated Solar Power (CSP) remains largely untapped, despite its advantages for thermal energy storage and sustainable electricity production. This study assesses the feasibility of establishing CSP plants in Ghardaïa, a city in southern Algeria, using high-resolution <inline-formula> <tex-math notation="LaTeX">$30\times 30$ </tex-math></inline-formula>-meter Geographic Information Systems (GIS) data. By integrating GIS with Fuzzy Logic and Multi-Criteria Decision-Making (MCDM) techniques, and utilizing a variety of spatial maps, this study identifies areas suitable for high- and medium-scale CSP plants. The analysis reveals that 10% of the region’s land is suitable for CSP installations, with 1% categorized as extremely suitable for large-scale projects. Furthermore, 33% of the land is suitable for small-scale CSP plants, of which 3% is deemed extremely suitable. These findings underscore the significant potential for expanding CSP infrastructure in Ghardaïa, aligning with Algeria’s renewable energy objectives. |
| format | Article |
| id | doaj-art-83b0c0dcd8d7418cba3b732e64ebb25e |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-83b0c0dcd8d7418cba3b732e64ebb25e2025-01-03T00:01:45ZengIEEEIEEE Access2169-35362025-01-011323125510.1109/ACCESS.2024.352257210815944High-Resolution Mapping of Concentrated Solar Power Site Suitability in Ghardaïa, Algeria: A GIS-Based Fuzzy Logic and Multi-Criteria Decision AnalysisAbdelfetah Belaid0Mawloud Guermoui1https://orcid.org/0000-0002-3691-9874Abdelkader Riche2Toufik Arrif3https://orcid.org/0000-0002-7113-3332Hamdani Maamar4Cherier Mohamed Kamel5https://orcid.org/0000-0003-4254-1270Abdelaziz Rabehi6Mohamad Mahmoud Al Rahhal7https://orcid.org/0000-0002-4467-650XUnité de Recherche Appliquée en Énergies Renouvelables, URAER, Centre de Développement des Énergies Renouvelables, CDER, Ghardaïa, AlgeriaUnité de Recherche Appliquée en Énergies Renouvelables, URAER, Centre de Développement des Énergies Renouvelables, CDER, Ghardaïa, AlgeriaDepartment of Information Engineering and Computer Science, University of Trento, Trento, ItalyUnité de Recherche Appliquée en Énergies Renouvelables, URAER, Centre de Développement des Énergies Renouvelables, CDER, Ghardaïa, AlgeriaUnité de Recherche Appliquée en Énergies Renouvelables, URAER, Centre de Développement des Énergies Renouvelables, CDER, Ghardaïa, AlgeriaUnité de Recherche Appliquée en Énergies Renouvelables, URAER, Centre de Développement des Énergies Renouvelables, CDER, Ghardaïa, AlgeriaTelecommunications and Smart Systems Laboratory, University of Ziane Achour, Djelfa, AlgeriaApplied Computer Science Department, College of Applied Computer Science, King Saud University, Riyadh, Saudi ArabiaAlgeria primarily relies on fossil fuels to meet its growing electricity demand, significantly contributing to climate change and the depletion of non-renewable resources. In response, the Algerian government has initiated ambitious plans to integrate renewable energy into the national grid. While photovoltaic solar energy has received substantial attention over the past decade, the potential for Concentrated Solar Power (CSP) remains largely untapped, despite its advantages for thermal energy storage and sustainable electricity production. This study assesses the feasibility of establishing CSP plants in Ghardaïa, a city in southern Algeria, using high-resolution <inline-formula> <tex-math notation="LaTeX">$30\times 30$ </tex-math></inline-formula>-meter Geographic Information Systems (GIS) data. By integrating GIS with Fuzzy Logic and Multi-Criteria Decision-Making (MCDM) techniques, and utilizing a variety of spatial maps, this study identifies areas suitable for high- and medium-scale CSP plants. The analysis reveals that 10% of the region’s land is suitable for CSP installations, with 1% categorized as extremely suitable for large-scale projects. Furthermore, 33% of the land is suitable for small-scale CSP plants, of which 3% is deemed extremely suitable. These findings underscore the significant potential for expanding CSP infrastructure in Ghardaïa, aligning with Algeria’s renewable energy objectives.https://ieeexplore.ieee.org/document/10815944/AlgeriaCSPfuzzy logic AHPGISmulti-criteria decision making |
| spellingShingle | Abdelfetah Belaid Mawloud Guermoui Abdelkader Riche Toufik Arrif Hamdani Maamar Cherier Mohamed Kamel Abdelaziz Rabehi Mohamad Mahmoud Al Rahhal High-Resolution Mapping of Concentrated Solar Power Site Suitability in Ghardaïa, Algeria: A GIS-Based Fuzzy Logic and Multi-Criteria Decision Analysis IEEE Access Algeria CSP fuzzy logic AHP GIS multi-criteria decision making |
| title | High-Resolution Mapping of Concentrated Solar Power Site Suitability in Ghardaïa, Algeria: A GIS-Based Fuzzy Logic and Multi-Criteria Decision Analysis |
| title_full | High-Resolution Mapping of Concentrated Solar Power Site Suitability in Ghardaïa, Algeria: A GIS-Based Fuzzy Logic and Multi-Criteria Decision Analysis |
| title_fullStr | High-Resolution Mapping of Concentrated Solar Power Site Suitability in Ghardaïa, Algeria: A GIS-Based Fuzzy Logic and Multi-Criteria Decision Analysis |
| title_full_unstemmed | High-Resolution Mapping of Concentrated Solar Power Site Suitability in Ghardaïa, Algeria: A GIS-Based Fuzzy Logic and Multi-Criteria Decision Analysis |
| title_short | High-Resolution Mapping of Concentrated Solar Power Site Suitability in Ghardaïa, Algeria: A GIS-Based Fuzzy Logic and Multi-Criteria Decision Analysis |
| title_sort | high resolution mapping of concentrated solar power site suitability in gharda x00ef a algeria a gis based fuzzy logic and multi criteria decision analysis |
| topic | Algeria CSP fuzzy logic AHP GIS multi-criteria decision making |
| url | https://ieeexplore.ieee.org/document/10815944/ |
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