Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/78107

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dc.contributor.authorHaddad, Brahimpor
dc.contributor.authorDiaz-Cuevas, Pilarpor
dc.contributor.authorFerreira, Paula Varandaspor
dc.contributor.authorDjebli, Ahmedpor
dc.contributor.authorPerez, Juan Pedropor
dc.date.accessioned2022-05-31T11:07:36Z-
dc.date.available2022-05-31T11:07:36Z-
dc.date.issued2021-
dc.identifier.citationHaddad, 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.2020.12.081por
dc.identifier.issn0960-1481-
dc.identifier.urihttps://hdl.handle.net/1822/78107-
dc.description.abstractThe 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.por
dc.description.sponsorshipThe 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.por
dc.language.isoengpor
dc.publisherElsevier 1por
dc.rightsopenAccesspor
dc.subjectConcentrated solar power (CSP)por
dc.subjectGeographic information system (GIS)por
dc.subjectAnalytic hierarchy process (AHP)por
dc.subjectMulti-criteria decision making (MCDM)por
dc.subjectEnergy planningpor
dc.titleMapping concentrated solar power site suitability in Algeriapor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0960148120320218por
oaire.citationStartPage838por
oaire.citationEndPage853por
oaire.citationVolume168por
dc.date.updated2022-05-30T23:31:50Z-
dc.identifier.doi10.1016/j.renene.2020.12.081por
dc.subject.wosScience & Technology-
sdum.export.identifier11213-
sdum.journalRenewable Energypor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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