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Assessing the Environmental Performance of Municipal Solid Waste Collection: A New Predictive LCA Model

Author

Listed:
  • Alba Bala

    (UNESCO Chair in Life Cycle and Climate Change, Escola Superior de Comerç Internacional (UPF), Passeig Pujades, 1, 08003 Barcelona, Spain)

  • Marco Raugei

    (School of Engineering, Computing and Mathematics, Oxford Brookes University, Wheatley Campus, Wheatley OX33 1HX, UK)

  • Carlos Afonso Teixeira

    (Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal)

  • Alberto Fernández

    (Ecoembalajes España, S.A., Calle de Cardenal Marcelo Spínola 14/2ª planta, 28016 Madrid, Spain)

  • Francisco Pan-Montojo

    (Circular Economy and Waste Advisor, 10 Azagador, Las Rozas de Madrid, 28232 Madrid, Spain)

  • Pere Fullana-i-Palmer

    (UNESCO Chair in Life Cycle and Climate Change, Escola Superior de Comerç Internacional (UPF), Passeig Pujades, 1, 08003 Barcelona, Spain)

Abstract

Most existing life cycle assessment models of waste management have so far underplayed the importance of the waste collection phase, addressing it only in a simplified fashion, either by requesting the total amount of fuel used as a direct user input or by calculating it based on a set of input parameters and fixed diesel consumption factors. However, if the main purpose of the study is to improve the efficiency of the collection system itself, a more detailed analysis of the collection phase is required, avoiding oversimplified and potentially misleading conclusions. The new LCA collection model presented here relies on a large number of parameters (number and type of containers, collection frequency, distances for the various legs of transport, etc.) and allows the detailed predictive analysis of alternative collection scenarios. The results of applying this newly developed model to a number of experimental case studies in Portugal are analyzed, discussed, and compared to those produced by a selection of pre-existing, more simplified models such as ORWARE and MSW-DST. The new model is confirmed as being the most accurate and, importantly, as the only one capable of predicting the consequences of a range of possible changes in the collection parameters.

Suggested Citation

  • Alba Bala & Marco Raugei & Carlos Afonso Teixeira & Alberto Fernández & Francisco Pan-Montojo & Pere Fullana-i-Palmer, 2021. "Assessing the Environmental Performance of Municipal Solid Waste Collection: A New Predictive LCA Model," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5810-:d:559689
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    References listed on IDEAS

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    1. David Lazarevic & Emmanuelle Aoustin & Nicolas Buclet & Nils Brandt, 2010. "Plastic Waste Management in the context of a European recycling society," Post-Print halshs-00584531, HAL.
    2. Volrad Wollny & Günter Dehoust & Uwe R. Fritsche & Peter Weinem, 2001. "Comparison of Plastic Packaging Waste Management Options: Feedstock Recycling versus Energy Recovery in Germany," Journal of Industrial Ecology, Yale University, vol. 5(3), pages 49-63, July.
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    Cited by:

    1. Esra Aleisa & Rawa Al-Jarallah, 2024. "Optimizing life cycle sustainability based on municipal solid waste streams and treatment potentials," Environment Systems and Decisions, Springer, vol. 44(4), pages 887-905, December.
    2. Toniolo, Sara & Pieretto, Chiara & Camana, Daniela, 2023. "A lifecycle-based indicator to support residual solid waste flow planning at the regional level," Utilities Policy, Elsevier, vol. 82(C).

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