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| Format: | Artículo científico |
| Langue: | en |
| Publié: |
Universidade Federal do Rio de Janeiro
2023
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| Accès en ligne: | https://www.redalyc.org/articulo.oa?id=695375062001 https://www.redalyc.org/journal/6953/695375062001/ https://www.redalyc.org/journal/6953/695375062001/html/ https://www.redalyc.org/journal/6953/695375062001/695375062001.epub https://www.redalyc.org/journal/6953/695375062001/movil |
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Table des matières:
- Optimal Site Selection using Geographical Information System (GIS) Based Multicriteria Decision Analysis (MCDA): A case study to Concentrated Solar Power Plants (CSP) in Brazil Eduardo Chiarani Alzir Felippe Buffara Antunes Danielle Drago Ana Paula Oening Luís Alexandre Catussi Paschoalotto Geología Map algebra Geospatial data Analytic Hierarchy Process (AHP) Optimal site selection using multi-criteria decision analysis (MCDA) is an important step to support decision makers to locate places that benefit the maximum potential of technology's preconditions. As a new, emerging and renewable technology in Brazil, concentrated solar power (CSP) plays an important role in power generation mix, and it’s crucial to indicate the viability of Brazilian regions to CSP power plants. To achieve this goal, a detailed workflow of multi-criteria analysis based on geographic information system (GIS based AHP) is set in free software, in which criteria are selected from literature, acquired as geospatial data, weighted with parity matrices through online questionnaires filled by experts, processed on QGIS with weighted linear combination (WLC), and the results validated by its AHP consistency, thematic accuracy and comparative analysis with VIKOR and TOPSIS methodologies. As a product, sites are mapped according to viability indices, with higher values in most of Northeast, Central-west and Southeast regions of Brazil, showing good stability by its validation. Thereby, the workflow with free software allows the methodology to be replicated to support decision makers in locating viable and restrictive places for technologies. 2023 artículo científico 0101-9759 https://www.redalyc.org/articulo.oa?id=695375062001 https://www.redalyc.org/journal/6953/695375062001/ https://www.redalyc.org/journal/6953/695375062001/html/ https://www.redalyc.org/journal/6953/695375062001/695375062001.epub https://www.redalyc.org/journal/6953/695375062001/movil 10.11137/1982-3908_2023_46_48118 en http://www.redalyc.org/revista.oa?id=6953 Anuário do Instituto de Geociências application/pdf Universidade Federal do Rio de Janeiro Anuário do Instituto de Geociências (Brasil) Vol.46