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Analysis of Economical and Environmental Costs for the Selection of Municipal Solid Waste Treatment and Disposal Scenarios through Multicriteria Analysis (ELECTRE Method)

Author

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  • Lorena De Medina-Salas

    (Facultad de Ciencias Químicas, Universidad Veracruzana, Circuito Gonzalo Aguirre Beltrán s/n, Zona Universitaria, 91040 Xalapa, Veracruz, Mexico)

  • Eduardo Castillo-González

    (Facultad de Ingeniería Civil, Universidad Veracruzana, Circuito Gonzalo Aguirre Beltrán s/n, Zona Universitaria, 91040 Xalapa, Veracruz, Mexico)

  • Mario Rafael Giraldi-Díaz

    (Facultad de Ciencias Químicas, Universidad Veracruzana, Circuito Gonzalo Aguirre Beltrán s/n, Zona Universitaria, 91040 Xalapa, Veracruz, Mexico)

  • Víctor Guzmán-González

    (Facultad de Ciencias Químicas, Universidad Veracruzana, Circuito Gonzalo Aguirre Beltrán s/n, Zona Universitaria, 91040 Xalapa, Veracruz, Mexico)

Abstract

Decision-making for the selection of treatment alternatives and landfilling of municipal solid waste (MSW) is based on the experience and judgment of those management responsible, without considering multicriteria analysis. Therefore, the purpose of this research was to determine the treatment scenario and landfilling of MSW with the lowest environmental and economic costs in a medium-sized city. The methodology included the definition and data processing of the project (population, generation, and composition of MSW), for 16 years. In the design of scenarios, recycling, composting, incineration with energy recovery, and landfilling treatments were proposed; later, the combinations of treatments for each type of residue were generated. The results showed 36 scenarios, then the ELECTRE method was applied to the five with the lowest economical and environmental costs. Finally from the latter, one dominant scenario was determined: organic waste in composting; plastic, paper, and glass in recycling; and ‘others’ in landfilling. It is concluded that the final decision on the scenario is adapted to the particular conditions of the locality.

Suggested Citation

  • Lorena De Medina-Salas & Eduardo Castillo-González & Mario Rafael Giraldi-Díaz & Víctor Guzmán-González, 2017. "Analysis of Economical and Environmental Costs for the Selection of Municipal Solid Waste Treatment and Disposal Scenarios through Multicriteria Analysis (ELECTRE Method)," Sustainability, MDPI, vol. 9(11), pages 1-8, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:1758-:d:116895
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    References listed on IDEAS

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    1. Govindan, Kannan & Jepsen, Martin Brandt, 2016. "ELECTRE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 250(1), pages 1-29.
    2. Gradus, Raymond H.J.M. & Nillesen, Paul H.L. & Dijkgraaf, Elbert & van Koppen, Rick J., 2017. "A Cost-effectiveness Analysis for Incineration or Recycling of Dutch Household Plastic Waste," Ecological Economics, Elsevier, vol. 135(C), pages 22-28.
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    Cited by:

    1. HamidReza Jahangirzadeh & Mehdi Ghanbarzadeh Lak, 2021. "Developing a Decision-making Model to Enhance Artificial Aquifer Recharge Site Selection Through Floodwater Spreading Based on GIS and ELECTRE I," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5169-5186, December.
    2. Javad Torkashvand & Mohammad Mahdi Emamjomeh & Mitra Gholami & Mahdi Farzadkia, 2021. "Analysis of cost–benefit in life-cycle of plastic solid waste: combining waste flow analysis and life cycle cost as a decision support tool to the selection of optimum scenario," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13242-13260, September.
    3. Andrzej Białowiec & Monika Micuda & Jacek A. Koziel, 2018. "Waste to Carbon: Densification of Torrefied Refuse-Derived Fuel," Energies, MDPI, vol. 11(11), pages 1-20, November.
    4. Pingtao Yi & Weiwei Li & Lingyu Li, 2018. "Evaluation and Prediction of City Sustainability Using MCDM and Stochastic Simulation Methods," Sustainability, MDPI, vol. 10(10), pages 1-15, October.

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