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A GIS-MCDA Approach Addressing Economic-Social-Environmental Concerns for Selecting the Most Suitable Compressed Air Energy Storage Reservoirs

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  • Catarina R. Matos

    (Energy for Sustainability Initiative, MIT Portugal Program, Faculty of Sciences and Technology, University of Coimbra, Rua Luís Reis dos Santos, Pólo II, 3030-788 Coimbra, Portugal
    Institute of Earth Sciences (ICT), University of Évora, Colégio Luís António Verney, Rua Romão Ramalho, 59, 7000-671 Évora, Portugal)

  • Júlio F. Carneiro

    (Institute of Earth Sciences (ICT), University of Évora, Colégio Luís António Verney, Rua Romão Ramalho, 59, 7000-671 Évora, Portugal
    Department of Geosciences, Institute for Research and Advanced Training, School of Science and Technology, University of Évora, Colégio Luís António Verney, Rua Romão Ramalho, 59, 7000-671 Évora, Portugal)

  • Patrícia Pereira da Silva

    (CeBER, Centre for Business and Economics Research, Faculty of Economics, University of Coimbra, Av. Dias da Silva, 165, 3004-512 Coimbra, Portugal
    INESC Coimbra, Institute for Systems Engineering and Computers at Coimbra, Rua Sílvio Lima, Pólo II, 3030-290 Coimbra, Portugal)

  • Carla O. Henriques

    (CeBER, Centre for Business and Economics Research, Faculty of Economics, University of Coimbra, Av. Dias da Silva, 165, 3004-512 Coimbra, Portugal
    INESC Coimbra, Institute for Systems Engineering and Computers at Coimbra, Rua Sílvio Lima, Pólo II, 3030-290 Coimbra, Portugal
    Polytechnic of Coimbra, Coimbra Business School Research Centre|ISCAC, Quinta Agrícola-Bencanta, 3040-316 Coimbra, Portugal)

Abstract

This article presents an assessment of the most suitable compressed air energy storage (CAES) reservoirs and facilities to better integrate renewable energy into the electricity grid. The novelty of this study resides in selecting the best CAES reservoir sites through the application of a multi-criteria decision aid (MCDA) tool, specifically the simple additive weighting (SAW) method. Besides using geographic information systems (GIS) spatial representation of potential reservoir areas, for the MCDA method, several spatial criteria, environmental and social constraints, and positive incentives (e.g., the proximity to existing power generation facilities of renewable energy sources) were contemplated. As a result, sixty-two alternatives or potential reservoir sites were identified, and thirteen criteria (seven constraints and six incentives) were considered. The final stage of this study consisted of conducting a sensitivity analysis to determine the robustness of the solutions obtained and giving insights regarding each criterion’s influence on the reservoir sites selected. The three best suitable reservoir sites obtained were the Monte Real salt dome, Sines Massif, and the Campina de Cima—Loulé salt mine. The results show that this GIS-MCDA methodological framework, integrating spatial and non-spatial information, proved to provide a multidimensional view of the potential reservoir CAES systems incorporating both constraints and incentives.

Suggested Citation

  • Catarina R. Matos & Júlio F. Carneiro & Patrícia Pereira da Silva & Carla O. Henriques, 2021. "A GIS-MCDA Approach Addressing Economic-Social-Environmental Concerns for Selecting the Most Suitable Compressed Air Energy Storage Reservoirs," Energies, MDPI, vol. 14(20), pages 1-22, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6793-:d:658833
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    References listed on IDEAS

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    Cited by:

    1. Kamali Saraji, Mahyar & Aliasgari, Elahe & Streimikiene, Dalia, 2023. "Assessment of the challenges to renewable energy technologies adoption in rural areas: A Fermatean CRITIC-VIKOR approach," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Matos, Catarina R. & Pereira da Silva, Patrícia & Carneiro, Júlio F., 2023. "Economic assessment for compressed air energy storage business model alternatives," Applied Energy, Elsevier, vol. 329(C).

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