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An inexact dynamic optimization model for municipal solid waste management in association with greenhouse gas emission control

Authors :
Lu, H.W.
Huang, G.H.
He, L.
Zeng, G.M.
Source :
Journal of Environmental Management. Jan, 2009, Vol. 90 Issue 1, p396, 14 p.
Publication Year :
2009

Abstract

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.jenvman.2007.10.011 Byline: H.W. Lu (a), G.H. Huang (a)(b), L. He (a), G.M. Zeng (c) Abstract: Municipal solid waste (MSW) should be properly disposed in order to help protect environmental quality and human health, as well as to preserve natural resources. During MSW disposal processes, a large amount of greenhouse gas (GHG) is emitted, leading to a significant impact on climate change. In this study, an inexact dynamic optimization model (IDOM) is developed for MSW-management systems under uncertainty. It grounds upon conventional mixed-integer linear programming (MILP) approaches, and integrates GHG components into the modeling framework. Compared with the existing models, IDOM can not only deal with the complex tradeoff between system cost minimization and GHG-emission mitigation, but also provide optimal allocation strategies under various emission-control standards. A case study is then provided for demonstrating applicability of the developed model. The results indicate that desired waste-flow patterns with a minimized system cost and GHG-emission amount can be obtained. Of more importance, the IDOM solution is associated with over 5.5 million tonnes of TEC reduction, which is of significant economic implication for real implementations. Therefore, the proposed model could be regarded as a useful tool for realizing comprehensive MSW management with regard to mitigating climate-change impacts. Author Affiliation: (a) Faculty of Engineering, University of Regina, Regina, SK S4S 0A2, Canada (b) Chinese Research Academy of Environmental Science, North China Electric Power University, Beijing 100012-102206, China (c) College of Environmental Science and Engineering, Hunan University, Changsha 410082, PR China Article History: Received 18 October 2006; Revised 30 September 2007; Accepted 30 October 2007

Details

Language :
English
ISSN :
03014797
Volume :
90
Issue :
1
Database :
Gale General OneFile
Journal :
Journal of Environmental Management
Publication Type :
Academic Journal
Accession number :
edsgcl.188741616