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Spatial Analysis Using GIS for Obtaining Optimal Locations for Solar Farms—A Case Study: The Northwest of the Region of Murcia

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Fuzzy Technology

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 335))

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Abstract

One of the first decisions that must be taken when hosting a photovoltaic solar farm to pour the energy generated into the grid is to choose a proper location (towns, existing infrastructure, etc.). The legislative framework that is applicable must also be considered since it involves a large number of restrictions (protected areas, streams and watercourses, etc.) that will provide us with the guidelines to eliminate those unsuitable areas, as well as certain criteria (proximity to power lines, slope, solar irradiation, etc.) according to which an evaluation of the suitable areas that condition any facility will be made. It is precisely for these reasons why the management of spatial visualization tools such as Geographic Information Systems (GIS) is particularly useful. The objective of this paper is to demonstrate how the aggregation of GIS to decision procedures in the field of renewable energy can solve complex location problems. In the present case a GIS (called gvSIG) will be employed in order to obtain suitable locations to host photovoltaic solar farms in the Northwest of the Region of Murcia, in Spain.

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Acknowledgment

María Teresa Lamata and José Luis Verdegay want to acknowledge Christer Carlsson for his support, help and sincere friendship along the last 25 years. This work has been partially supported by FEDER funds, the DGICYT and Junta de Andalucía under projects TIN2014-55024-P and P11-TIC-8001, respectively.

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Authors and Affiliations

  1. Centro Universitario de La Defensa. Academia General Del Aire, Universidad Politécnica de Cartagena, Murcia, Spain

    J. M. Sánchez-Lozano

  2. Dpto. de Electrónica, Tecnología de Computadoras Y Proyectos, Universidad de Politécnica de Cartagena, Murcia, Spain

    M. S. García-Cascales

  3. Dpto. Ciencias de La Computación E Inteligencia Artificial, Universidad de Granada, Granada, Spain

    M. T. Lamata & J. L. Verdegay

Authors
  1. J. M. Sánchez-Lozano
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  2. M. S. García-Cascales
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  3. M. T. Lamata
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  4. J. L. Verdegay
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Corresponding author

Correspondence to M. S. García-Cascales .

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Editors and Affiliations

  1. School of Business and Management, Lappeenranta University of Technology, Lappeenranta, Finland

    Mikael Collan

  2. Universita di Trento, Trento, Italy

    Mario Fedrizzi

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

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Sánchez-Lozano, J.M., García-Cascales, M.S., Lamata, M.T., Verdegay, J.L. (2016). Spatial Analysis Using GIS for Obtaining Optimal Locations for Solar Farms—A Case Study: The Northwest of the Region of Murcia. In: Collan, M., Fedrizzi, M., Kacprzyk, J. (eds) Fuzzy Technology. Studies in Fuzziness and Soft Computing, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-319-26986-3_12

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  • DOI: https://doi.org/10.1007/978-3-319-26986-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26984-9

  • Online ISBN: 978-3-319-26986-3

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