title: Municipal solid waste management planning considering greenhouse gas emission trading under fuzzy environment.
abstract: Waste management activities can release greenhouse gases (GHGs) to the atmosphere, intensifying global climate change. Mitigation of the associated GHG emissions is vital and should be considered within integrated municipal solid waste (MSW) management planning. In this study, a fuzzy possibilistic integer programming (FPIM) model has been developed for waste management facility expansion and waste flow allocation planning with consideration of GHG emission trading in an MSW management system. It can address the interrelationships between MSW management planning and GHG emission control. The scenario of total system GHG emission control is analyzed for reflecting the feature that GHG emission credits may be tradable. An interactive solution algorithm is used to solve the FPIM model based on the uncertainty-averse preferences of decision makers in terms of p-necessity level, which represents the certainty degree of the imprecise objective. The FPIM model has been applied to a hypothetical MSW planning problem, where optimal decision schemes for facility expansion and waste flow allocation have been achieved with consideration of GHG emission control. The results indicate that GHG emission credit trading can decrease total system cost through re-allocation of GHG emission credits within the entire MSW management system. This will be helpful for decision makers to effectively determine the allowable GHG emission permits in practices.
authors: Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78713, USA. Electronic address: gerryzxd@gmail.com.
authors: Xiaodong
authors: X
authors: Zhang
authors: Institute of Energy, Environment & Sustainable Communities, University of Regina, Regina, Saskatchewan S4S 0A2, Canada; MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China.
authors: Gordon
authors: G
authors: Huang
mesh_terms: D004784:Environmental Monitoring / Q000191:economics / Q000379:methods*; D005740:Gases / Q000032:analysis*; D017752:Greenhouse Effect / Q000191:economics / Q000517:prevention & control*; D018803:Models, Economic; D062611:Solid Waste; D035501:Uncertainty; D018505:Waste Management / Q000191:economics / Q000379:methods*
chemical_list: D005740:Gases; D062611:Solid Waste
keywords: Emission trading; Fuzzy possibilistic; Greenhouse gases; Integer; Municipal solid waste; Uncertainty