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Life-cycle assessment of municipal solid waste management alternatives with consideration of uncertainty: SIWMS development and application.
Waste Manag. 2010 May; 30(5):902-11.WM

Abstract

This paper describes the development and application of the Stochastic Integrated Waste Management Simulator (SIWMS) model. SIWMS provides a detailed view of the environmental impacts and associated costs of municipal solid waste (MSW) management alternatives under conditions of uncertainty. The model follows a life-cycle inventory approach extended with compensatory systems to provide more equitable bases for comparing different alternatives. Economic performance is measured by the net present value. The model is verified against four publicly available models under deterministic conditions and then used to study the impact of uncertainty on Sydney's MSW management 'best practices'. Uncertainty has a significant effect on all impact categories. The greatest effect is observed in the global warming category where a reversal of impact direction is predicted. The reliability of the system is most sensitive to uncertainties in the waste processing and disposal. The results highlight the importance of incorporating uncertainty at all stages to better understand the behaviour of the MSW system.

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Authors+Show Affiliations

Hanandeh AE
School of Civil Engineering, Building J05, University of Sydney NSW 2006, Australia. alel5804@uni.sydney.edu.au
El-Zein A
No affiliation info available

MeSH

Computer SimulationConservation of Natural ResourcesIncinerationModels, TheoreticalNew South WalesRefuse DisposalSoilStochastic ProcessesUncertaintyWaste Management

Pub Type(s)

Comparative Study
Journal Article

Language

eng

PubMed ID

20116992

Citation

Hanandeh, Ali El, and Abbas El-Zein. "Life-cycle Assessment of Municipal Solid Waste Management Alternatives With Consideration of Uncertainty: SIWMS Development and Application." Waste Management (New York, N.Y.), vol. 30, no. 5, 2010, pp. 902-11.
Hanandeh AE, El-Zein A. Life-cycle assessment of municipal solid waste management alternatives with consideration of uncertainty: SIWMS development and application. Waste Manag. 2010;30(5):902-11.
Hanandeh, A. E., & El-Zein, A. (2010). Life-cycle assessment of municipal solid waste management alternatives with consideration of uncertainty: SIWMS development and application. Waste Management (New York, N.Y.), 30(5), 902-11. https://doi.org/10.1016/j.wasman.2009.12.026
Hanandeh AE, El-Zein A. Life-cycle Assessment of Municipal Solid Waste Management Alternatives With Consideration of Uncertainty: SIWMS Development and Application. Waste Manag. 2010;30(5):902-11. PubMed PMID: 20116992.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Life-cycle assessment of municipal solid waste management alternatives with consideration of uncertainty: SIWMS development and application. AU - Hanandeh,Ali El, AU - El-Zein,Abbas, Y1 - 2010/02/08/ PY - 2009/06/01/received PY - 2009/12/21/revised PY - 2009/12/30/accepted PY - 2010/2/2/entrez PY - 2010/2/2/pubmed PY - 2010/7/16/medline SP - 902 EP - 11 JF - Waste management (New York, N.Y.) JO - Waste Manag VL - 30 IS - 5 N2 - This paper describes the development and application of the Stochastic Integrated Waste Management Simulator (SIWMS) model. SIWMS provides a detailed view of the environmental impacts and associated costs of municipal solid waste (MSW) management alternatives under conditions of uncertainty. The model follows a life-cycle inventory approach extended with compensatory systems to provide more equitable bases for comparing different alternatives. Economic performance is measured by the net present value. The model is verified against four publicly available models under deterministic conditions and then used to study the impact of uncertainty on Sydney's MSW management 'best practices'. Uncertainty has a significant effect on all impact categories. The greatest effect is observed in the global warming category where a reversal of impact direction is predicted. The reliability of the system is most sensitive to uncertainties in the waste processing and disposal. The results highlight the importance of incorporating uncertainty at all stages to better understand the behaviour of the MSW system. SN - 1879-2456 UR - https://www.unboundmedicine.com/medline/citation/20116992/Life_cycle_assessment_of_municipal_solid_waste_management_alternatives_with_consideration_of_uncertainty:_SIWMS_development_and_application_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0956-053X(10)00021-8 DB - PRIME DP - Unbound Medicine ER -