Mapping concentrated solar power site suitability in Algeria
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/78107 |
Resumo: | 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. |
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Mapping concentrated solar power site suitability in AlgeriaConcentrated solar power (CSP)Geographic information system (GIS)Analytic hierarchy process (AHP)Multi-criteria decision making (MCDM)Energy planningScience & TechnologyThe 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.The authors would like to thank all open source data providers and ESRI Maps for provide the background maps. Also authors thank J. R. Oakleaf et al. for make available spatial data linked to global potential for renewable energy. The authors are also thankful to experts of the research center CDER and the engineering experts who participated in the AHP for their assistance.ElsevierUniversidade do MinhoHaddad, BrahimDiaz-Cuevas, PilarFerreira, Paula VarandasDjebli, AhmedPerez, Juan Pedro20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/78107engHaddad, B., Díaz-Cuevas, P., Ferreira, P., Djebli, A., & Pérez, J. P. (2021, May). Mapping concentrated solar power site suitability in Algeria. Renewable Energy. Elsevier BV. http://doi.org/10.1016/j.renene.2020.12.0810960-148110.1016/j.renene.2020.12.081https://www.sciencedirect.com/science/article/pii/S0960148120320218info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T11:58:32Zoai:repositorium.sdum.uminho.pt:1822/78107Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:48:16.931585Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Mapping concentrated solar power site suitability in Algeria |
title |
Mapping concentrated solar power site suitability in Algeria |
spellingShingle |
Mapping concentrated solar power site suitability in Algeria Haddad, Brahim Concentrated solar power (CSP) Geographic information system (GIS) Analytic hierarchy process (AHP) Multi-criteria decision making (MCDM) Energy planning Science & Technology |
title_short |
Mapping concentrated solar power site suitability in Algeria |
title_full |
Mapping concentrated solar power site suitability in Algeria |
title_fullStr |
Mapping concentrated solar power site suitability in Algeria |
title_full_unstemmed |
Mapping concentrated solar power site suitability in Algeria |
title_sort |
Mapping concentrated solar power site suitability in Algeria |
author |
Haddad, Brahim |
author_facet |
Haddad, Brahim Diaz-Cuevas, Pilar Ferreira, Paula Varandas Djebli, Ahmed Perez, Juan Pedro |
author_role |
author |
author2 |
Diaz-Cuevas, Pilar Ferreira, Paula Varandas Djebli, Ahmed Perez, Juan Pedro |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Haddad, Brahim Diaz-Cuevas, Pilar Ferreira, Paula Varandas Djebli, Ahmed Perez, Juan Pedro |
dc.subject.por.fl_str_mv |
Concentrated solar power (CSP) Geographic information system (GIS) Analytic hierarchy process (AHP) Multi-criteria decision making (MCDM) Energy planning Science & Technology |
topic |
Concentrated solar power (CSP) Geographic information system (GIS) Analytic hierarchy process (AHP) Multi-criteria decision making (MCDM) Energy planning Science & Technology |
description |
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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/78107 |
url |
https://hdl.handle.net/1822/78107 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Haddad, B., Díaz-Cuevas, P., Ferreira, P., Djebli, A., & Pérez, J. P. (2021, May). Mapping concentrated solar power site suitability in Algeria. Renewable Energy. Elsevier BV. http://doi.org/10.1016/j.renene.2020.12.081 0960-1481 10.1016/j.renene.2020.12.081 https://www.sciencedirect.com/science/article/pii/S0960148120320218 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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