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Mapping concentrated solar power site suitability in Algeria

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  • Haddad, Brahim
  • Díaz-Cuevas, Pilar
  • Ferreira, Paula
  • Djebli, Ahmed
  • Pérez, Juan Pedro

Abstract

The investment in solar thermal power technologies has become increasingly attractive, despite their still perceived high costs. Algeria presented an ambitious plan for increasing the participation of renewable energy sources (RES) in the power system, with significant investments foreseen for solar power technologies. To achieve this objective, it is necessary to identify optimal sites for the implementation of these plants, as well as others where implementation is highly inadvisable from the economic, social, or environmental points of view. The main goal of this study is to present and apply a methodology to identify adequate locations for the installation of solar power plants in Algeria. The study addressed the particular case of concentrated solar power (CSP) and proposed a hybrid approach combining multi-criteria decision making and Geographic Information System. The approach allowed mapping and visualizing unfeasible areas and ranking the feasible sites. The results showed that more than 51% of the territory of the country is unfeasible for the implementation of CSP, mainly due to criteria related to topographic aspects, water availability, and distance to the grid. The results demonstrated that relying only on Direct Normal Irradiation (DNI) values may result in a reductionist vision for energy planning and thus other criteria can play a fundamental role in the decision process. The model allowed also to identify the best regions for CSP investment and opens routes for more detailed studies for the exact site selection.

Suggested Citation

  • Haddad, Brahim & Díaz-Cuevas, Pilar & Ferreira, Paula & Djebli, Ahmed & Pérez, Juan Pedro, 2021. "Mapping concentrated solar power site suitability in Algeria," Renewable Energy, Elsevier, vol. 168(C), pages 838-853.
  • Handle: RePEc:eee:renene:v:168:y:2021:i:c:p:838-853
    DOI: 10.1016/j.renene.2020.12.081
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    5. Gao, Jianwei & Wang, Yaping & Huang, Ningbo & Wei, Lingli & Zhang, Zixuan, 2022. "Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making: A two-stage framework," Renewable Energy, Elsevier, vol. 201(P1), pages 1139-1162.
    6. Bashar Bashir & Abdullah Alsalman & Arsalan Ahmed Othman & Ahmed K. Obaid & Hussein Bashir, 2021. "New Approach to Selecting Civil Defense Centers in Al-Riyadh City (KSA) Based on Multi-Criteria Decision Analysis and GIS," Land, MDPI, vol. 10(11), pages 1-19, October.
    7. Romero-Ramos, J.A. & Gil, J.D. & Cardemil, J.M. & Escobar, R.A. & Arias, I. & Pérez-García, M., 2023. "A GIS-AHP approach for determining the potential of solar energy to meet the thermal demand in southeastern Spain productive enclaves," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
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