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Location Study of Solar Thermal Power Plant in the State of Pernambuco Using Geoprocessing Technologies and Multiple-Criteria Analysis

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  • Verônica Wilma B. Azevêdo

    (Departamento de Energia Nuclear, Centro de Tecnologias e Geociências, Universidade Federal de Pernambuco, Av. Prof. Luiz Freire, 1000, Cidade Universitária, Recife PE 50.740-540, Brazil)

  • Ana Lúcia B. Candeias

    (Departamento de Engenharia Cartográfica, Centro de Tecnologias e Geociências, Universidade Federal de Pernambuco, Av. Acadêmico Hélio Ramos, s/n, 2nd Floor, Cidade Universitária, Recife PE 50.740-530, Brazil)

  • Chigueru Tiba

    (Departamento de Energia Nuclear, Centro de Tecnologias e Geociências, Universidade Federal de Pernambuco, Av. Prof. Luiz Freire, 1000, Cidade Universitária, Recife PE 50.740-540, Brazil)

Abstract

Solar Thermal Technology for the generation of electricity in large scale has been a reality in the world since the 1980s, when the first large-sized solar plants in the United States were introduced. Brazil presents great potential for the development of large-scale projects, although it is noted that the main barriers for the insertion of this technology in Brazilian market are the lack of incentives and goals and associated costs. In a way to contribute to the insertion of solar thermal technology in Brazil, this paper presents a macro-spatial approach, based on the use of Multiple-Criteria Decision Analysis and Geoprocessing, for the location of solar thermal power plants. The applied methodology for Pernambuco, located in the Northeast Region of Brazil, considered the implantation of parabolic trough solar power plant of 80 MW, operating only in solar mode, without heat storage. Based on performed analysis, it was confirmed that Pernambuco presents great potential for the installation of solar power plants, especially in the backlands of Pernambuco. Performed validations in the model demonstrate that the methodology attended the objective once the consistence between the assigned weights to the thematic layers, individually, and the final Map of site suitability were evidenced.

Suggested Citation

  • Verônica Wilma B. Azevêdo & Ana Lúcia B. Candeias & Chigueru Tiba, 2017. "Location Study of Solar Thermal Power Plant in the State of Pernambuco Using Geoprocessing Technologies and Multiple-Criteria Analysis," Energies, MDPI, vol. 10(7), pages 1-23, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:1042-:d:105359
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    References listed on IDEAS

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    Cited by:

    1. Marcus Vinícius Coelho Vieira da Costa & Osmar Luiz Ferreira de Carvalho & Alex Gois Orlandi & Issao Hirata & Anesmar Olino de Albuquerque & Felipe Vilarinho e Silva & Renato Fontes Guimarães & Robert, 2021. "Remote Sensing for Monitoring Photovoltaic Solar Plants in Brazil Using Deep Semantic Segmentation," Energies, MDPI, vol. 14(10), pages 1-15, May.
    2. Sonja Simon & Tobias Naegler & Hans Christian Gils, 2018. "Transformation towards a Renewable Energy System in Brazil and Mexico—Technological and Structural Options for Latin America," Energies, MDPI, vol. 11(4), pages 1-26, April.
    3. Rediske, Graciele & Siluk, Julio Cezar M. & Michels, Leandro & Rigo, Paula D. & Rosa, Carmen B. & Cugler, Gilberto, 2020. "Multi-criteria decision-making model for assessment of large photovoltaic farms in Brazil," Energy, Elsevier, vol. 197(C).
    4. Sánchez-Pantoja, Núria & Vidal, Rosario & Pastor, M. Carmen, 2018. "Aesthetic impact of solar energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 227-238.

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