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A Fuzzy Approach to a Multiple Criteria and Geographical Information System for Decision Support on Suitable Locations for Biogas Plants

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  • Camilo Franco

    (Department of Food and Resource Economics, University of Copenhagen)

  • Mikkel Bojesen

    (Department of Food and Resource Economics, University of Copenhagen)

  • Jens Leth Hougaard

    (Department of Food and Resource Economics, University of Copenhagen)

  • Kurt Nielsen

    (Department of Food and Resource Economics, University of Copenhagen)

Abstract

The purpose of this paper is to model the multi-criteria decision problem of identifying the most suitable facility locations for biogas plants under an integrated decision support methodology. Here the Geographical Information System (GIS) is used for measuring the attributes of the alternatives according to a given set of criteria. Measurements are taken in interval form, expressing the natural imprecision of common data, and the Fuzzy Weighted Overlap Dominance (FWOD) procedure is applied for aggregating and exploiting this kind of data, obtaining suitability degrees for every alternative. The estimation of criteria weights, which is necessary for applying the FWOD procedure, is done by means of the Analytical Hierarchy Process (AHP), such that a combined AHP-FWOD methodology allows identifying the more suitable sites for building biogas plants. We show that the FWOD relevance-ranking procedure can also be successfully applied over the outcomes of different decision makers, in case a unique social solution is required to exist. The proposed methodology can be used under an integrated decision support frame for identifying the most suitable locations for biogas facilities, taking into account the most relevant criteria for the social, economic and political dimensions.

Suggested Citation

  • Camilo Franco & Mikkel Bojesen & Jens Leth Hougaard & Kurt Nielsen, 2013. "A Fuzzy Approach to a Multiple Criteria and Geographical Information System for Decision Support on Suitable Locations for Biogas Plants," MSAP Working Paper Series 05_2013, University of Copenhagen, Department of Food and Resource Economics.
    • Handle: RePEc:foi:msapwp:05_2013
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    17. Sarker, Bhaba R. & Wu, Bingqing & Paudel, Krishna P., 2019. "Modeling and optimization of a supply chain of renewable biomass and biogas: Processing plant location," Applied Energy, Elsevier, vol. 239(C), pages 343-355.
    18. Soha, Tamás & Papp, Luca & Csontos, Csaba & Munkácsy, Béla, 2021. "The importance of high crop residue demand on biogas plant site selection, scaling and feedstock allocation – A regional scale concept in a Hungarian study area," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    19. Danijel Topić & Marinko Barukčić & Dražen Mandžukić & Cecilia Mezei, 2020. "Optimization Model for Biogas Power Plant Feedstock Mixture Considering Feedstock and Transportation Costs Using a Differential Evolution Algorithm," Energies, MDPI, vol. 13(7), pages 1-22, April.
    20. Şenol, Halil & Ali Dereli̇, Mehmet & Özbilgin, Ferdi, 2021. "Investigation of the distribution of bovine manure-based biomethane potential using an artificial neural network in Turkey to 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    21. Horasan, Muhammed Bilal & Kilic, Huseyin Selcuk, 2022. "A multi-objective decision-making model for renewable energy planning: The case of Turkey," Renewable Energy, Elsevier, vol. 193(C), pages 484-504.
    22. Francesca Valenti & Simona M. C. Porto, 2019. "Net Electricity and Heat Generated by Reusing Mediterranean Agro-Industrial By-Products," Energies, MDPI, vol. 12(3), pages 1-15, February.
    23. Ceren Erdin & Halil Emre Akbaş, 2019. "A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
    24. Baležentis, Tomas & Streimikiene, Dalia, 2017. "Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation," Applied Energy, Elsevier, vol. 185(P1), pages 862-871.
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