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Life-cycle assessment of municipal solid waste management alternatives with consideration of uncertainty: SIWMS development and application |
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| Authors: | Ali El Hanandeh Abbas El-Zein |
| Institution: | 1. Department of Sciences and Technologies, Parthenope University of Naples, Italy;2. School of Environment, Beijing Normal University, China;1. School of Environment and Safety Engineering, Qingdao University of Science and Technology, Qingdao 266042, China;2. School of Chemical and Metallurgical Engineering, University of the Witwatersrand, 1 Jan Smuts Ave, Johannesburg 2001, South Africa;3. Chemical Engineering Department/Center for Engineering and Sustainable Development Research, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines;4. School of Chemical Engineering, South China University of Technology, Guangzhou 510640, China;1. Polymeric Products Enhancement and Customization Program, Petroleum Research Centre, Kuwait Institute for Scientific Research (KISR), P.O. Box 24885, Safat 13109, Kuwait;2. Department of Chemical Engineering, University College London (UCL), Torrington Place, London WC1E 7JE, UK;1. Institute of Environmental Engineering & Management, MUET, Jamshoro, Sindh, Pakistan;2. US-Pakistan Center of Advance Studies in Water (US-PCASW), MUET, Jamshoro, Sindh, Pakistan;3. Sindh Irrigated Agriculture Productivity Enhancement Project (PIU-SIAPEP), Hyderabad, Sindh, Pakistan;4. Department of Civil Engineering, MUET, Jamshoro, Sindh, Pakistan |
| 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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