Next Article in Journal
The Impact of an 8-Weeks At-Home Physical Activity Plan on Academic Achievement at the Time of COVID-19 Lock-Down in Italian School
Next Article in Special Issue
Life Cycle Assessment and Material Flow Analysis: Two Under-Utilized Tools for Informing E-Waste Management
Previous Article in Journal
Regenerative Democracy for Envisioning and Fostering Flourishing Societies
Previous Article in Special Issue
Municipal Solid Waste Landfill Site Selection Based on Fuzzy-AHP and Geoinformation Techniques in Asir Region Saudi Arabia
 
 
Article

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

1
UNESCO Chair in Life Cycle and Climate Change, Escola Superior de Comerç Internacional (UPF), Passeig Pujades, 1, 08003 Barcelona, Spain
2
School of Engineering, Computing and Mathematics, Oxford Brookes University, Wheatley Campus, Wheatley OX33 1HX, UK
3
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
4
Ecoembalajes España, S.A., Calle de Cardenal Marcelo Spínola 14/2ª planta, 28016 Madrid, Spain
5
Circular Economy and Waste Advisor, 10 Azagador, Las Rozas de Madrid, 28232 Madrid, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Silvia Fiore
Sustainability 2021, 13(11), 5810; https://doi.org/10.3390/su13115810
Received: 22 April 2021 / Revised: 18 May 2021 / Accepted: 20 May 2021 / Published: 21 May 2021
(This article belongs to the Special Issue Municipal Solid Waste Management)
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. View Full-Text
Keywords: LCA; waste management; waste collection; predictive model LCA; waste management; waste collection; predictive model
Show Figures

Figure 1

MDPI and ACS Style

Bala, A.; Raugei, M.; Teixeira, C.A.; Fernández, A.; Pan-Montojo, F.; Fullana-i-Palmer, P. Assessing the Environmental Performance of Municipal Solid Waste Collection: A New Predictive LCA Model. Sustainability 2021, 13, 5810. https://doi.org/10.3390/su13115810

AMA Style

Bala A, Raugei M, Teixeira CA, Fernández A, Pan-Montojo F, Fullana-i-Palmer P. Assessing the Environmental Performance of Municipal Solid Waste Collection: A New Predictive LCA Model. Sustainability. 2021; 13(11):5810. https://doi.org/10.3390/su13115810

Chicago/Turabian Style

Bala, Alba, Marco Raugei, Carlos Afonso Teixeira, Alberto Fernández, Francisco Pan-Montojo, and Pere Fullana-i-Palmer. 2021. "Assessing the Environmental Performance of Municipal Solid Waste Collection: A New Predictive LCA Model" Sustainability 13, no. 11: 5810. https://doi.org/10.3390/su13115810

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop