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A Multicriteria GIS-Based Assessment to Optimize Biomass Facility Sites with Parallel Environment—A Case Study in Spain

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  • Jin Su Jeong

    (Departamento de Ingeniería Mecánica, Química y Diseño Industrial, Escuela Técnica Superior de Ingeniería y Diseño Industrial, Universidad Politécnica de Madrid, Ronda de Valencia 3, 28012 Madrid, Spain)

  • Álvaro Ramírez-Gómez

    (Departamento de Ingeniería Mecánica, Química y Diseño Industrial, Escuela Técnica Superior de Ingeniería y Diseño Industrial, Universidad Politécnica de Madrid, Ronda de Valencia 3, 28012 Madrid, Spain)

Abstract

Optimizing a biomass facility site is a critical concern that is currently receiving an increased attention because of geographically spread biomass feedstock. This research presents a multicriteria GIS assessment with Weighted Linear Combination (WLC) (most suitable areas) and a sensitivity analysis (implementation strategies) applied to various disciplines using suitable criteria to optimize a biomass facility location in the context of renewable energies respecting the environment. The analyses of results with twelve criteria show the most suitable areas (9.25%) and constraints in a case study in Extremadura (Spain), where forest and agriculture are typical for land uses. Thus, the sensitivity analysis demonstrates the insight of the most influential criteria for supporting energy planning decisions. Therefore, this assessment could be used in studies to verify suitable biomass plants sites with corresponding geographical and spatial circumstances and available spatial data necessary in various governmental and industrial sectors.

Suggested Citation

  • Jin Su Jeong & Álvaro Ramírez-Gómez, 2017. "A Multicriteria GIS-Based Assessment to Optimize Biomass Facility Sites with Parallel Environment—A Case Study in Spain," Energies, MDPI, vol. 10(12), pages 1-14, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2095-:d:122376
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    1. Ming, Zeng & Song, Xue & Mingjuan, Ma & Xiaoli, Zhu, 2013. "New energy bases and sustainable development in China: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 169-185.
    2. Paredes-Sánchez, José P. & García-Elcoro, Víctor E. & Rosillo-Calle, Frank & Xiberta-Bernat, Jorge, 2016. "Assessment of forest bioenergy potential in a coal-producing area in Asturias (Spain) and recommendations for setting up a Biomass Logistic Centre (BLC)," Applied Energy, Elsevier, vol. 171(C), pages 133-141.
    3. Hiloidhari, M. & Baruah, D.C., 2011. "Crop residue biomass for decentralized electrical power generation in rural areas (part 1): Investigation of spatial availability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1885-1892, May.
    4. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    5. Leduc, S. & Starfelt, F. & Dotzauer, E. & Kindermann, G. & McCallum, I. & Obersteiner, M. & Lundgren, J., 2010. "Optimal location of lignocellulosic ethanol refineries with polygeneration in Sweden," Energy, Elsevier, vol. 35(6), pages 2709-2716.
    6. Perpiñá, C. & Alfonso, D. & Pérez-Navarro, A. & Peñalvo, E. & Vargas, C. & Cárdenas, R., 2009. "Methodology based on Geographic Information Systems for biomass logistics and transport optimisation," Renewable Energy, Elsevier, vol. 34(3), pages 555-565.
    7. Vera, David & Carabias, Julio & Jurado, Francisco & Ruiz-Reyes, Nicolás, 2010. "A Honey Bee Foraging approach for optimal location of a biomass power plant," Applied Energy, Elsevier, vol. 87(7), pages 2119-2127, July.
    8. Sahoo, K. & Hawkins, G.L. & Yao, X.A. & Samples, K. & Mani, S., 2016. "GIS-based biomass assessment and supply logistics system for a sustainable biorefinery: A case study with cotton stalks in the Southeastern US," Applied Energy, Elsevier, vol. 182(C), pages 260-273.
    9. Velazquez-Marti, B. & Fernandez-Gonzalez, E., 2010. "Mathematical algorithms to locate factories to transform biomass in bioenergy focused on logistic network construction," Renewable Energy, Elsevier, vol. 35(9), pages 2136-2142.
    10. Gustav Resch & Malte Gephart & Simone Steinhilber & Corinna Klessmann & Pablo del Rio & Mario Ragwitz, 2013. "Coordination or Harmonisation? Feasible Pathways for a European Res Strategy beyond 2020," Energy & Environment, , vol. 24(1-2), pages 147-169, February.
    11. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.
    12. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Nor, Khalil M.D. & Khoshnoudi, Masoumeh, 2016. "Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: A new hierarchical framework," Energy, Elsevier, vol. 117(P1), pages 131-148.
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