A hybrid inexact optimization approach for solid waste management in the city of Foshan,China |
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Authors: | Su Jing Guo He Huang Bei Dou Xi Yong Ping Li Xiao Sheng Qin Shou liang Huo Yonghai Jiang |
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Institution: | 1. School of Environment, Beijing Normal University, Beijing 100875, China;2. Centre for Studies in Energy & Environment, University of Regina, Regina, Canada S4S 0A2;3. Chinese Research Academy of Environmental Sciences, Beijing 100012, China;4. College of Urban Environmental and Sciences, Peking University, Beijing 100871, China;5. School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, 639798 |
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Abstract: | An interval-parameter two-stage chance-constraint mixed integer linear programming (ITCMILP) model is provided for supporting long-term planning of solid waste management in the City of Foshan, China. The ITCMILP is formulated by integrating interval-parameter, two-stage, mixed integer, and chance-constraint programming methods into a general framework, and can thus deal with multiple uncertainties associated with model parameters, constraints and objectives. Three scenarios are examined, covering combinations of various system conditions and waste management policies. Scenario 1 is designed for comparison purposes. Scenarios 2 and 3 correspond to situations when the existing landfill's life is to be extended. The results demonstrate that the centralized composting and incinerating facilities are desired for treating the organic waste flows. The tradeoff among system cost, violation risk, and the related policy implications are also analyzed. The results obtained could help decision makers gain in-depth insights into the impact of uncertainties on long-term solid waste management in the City of Foshan. |
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