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A goal programming model for the optimal mix and location of renewable energy plants in the north of Spain

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  • San Cristóbal, José Ramón

Abstract

The capacity expansion planning problem of the renewable energy industry involves decisions regarding the optimal mix of different plant types, locations where each plant should be built, and capacity expansion decisions over the planning horizon for each plant. The aim of this paper is to develop a goal programming model, based on a multi-source multi-sink network, in order to locate five renewable energy plants for electric generation in five places located in the autonomous region of Cantabria, in the north of Spain. As different types of plants can be placed in each location, the goal is to locate one plant in each place, maximizing the number of plants that are matched with comparable locations, in a way that the total deviations from goals are minimized.

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  • San Cristóbal, José Ramón, 2012. "A goal programming model for the optimal mix and location of renewable energy plants in the north of Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4461-4464.
    • Handle: RePEc:eee:rensus:v:16:y:2012:i:7:p:4461-4464
    DOI: 10.1016/j.rser.2012.04.039
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    Cited by:

    1. David Kik & Matthias Gerhard Wichmann & Thomas Stefan Spengler, 2022. "Decision support framework for the regional facility location and development planning problem," Journal of Business Economics, Springer, vol. 92(1), pages 115-157, January.
    2. Michael Godfrey & Andrew Manikas, 2014. "Integrating Sustainability Into A Goal Programming Exercise," Business Education and Accreditation, The Institute for Business and Finance Research, vol. 6(1), pages 45-54.
    3. Akbari, Negar & Jones, Dylan & Arabikhan, Farzad, 2021. "Goal programming models with interval coefficients for the sustainable selection of marine renewable energy projects in the UK," European Journal of Operational Research, Elsevier, vol. 293(2), pages 748-760.

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