Conceptual modeling to optimize the haul and transfer of municipal solid waste.
Two conceptual mixed integer linear optimization models were developed to optimize the haul and transfer of municipal solid waste (MSW) prior to landfilling. One model is based on minimizing time (h/d), whilst the second model is based on minimizing total cost (euro/d). Both models aim to calculate the optimum pathway to haul MSW from source nodes (waste production nodes, such as urban centers or municipalities) to sink nodes (landfills) via intermediate nodes (waste transfer stations). The models are applicable provided that the locations of the source, intermediate and sink nodes are fixed. The basic input data are distances among nodes, average vehicle speeds, haul cost coefficients (in euro/ton km), equipment and facilities' operating and investment cost, labor cost and tipping fees. The time based optimization model is easier to develop, since it is based on readily available data (distances among nodes). It can be used in cases in which no transfer stations are included in the system. The cost optimization model is more reliable compared to the time model provided that accurate cost data are available. The cost optimization model can be a useful tool to optimally allocate waste transfer stations in a region and can aid a community to investigate the threshold distance to a landfill above which the construction of a transfer station becomes financially beneficial. A sensitivity analysis reveals that queue times at the landfill or at the waste transfer station are key input variables. In addition, the waste transfer station ownership and the initial cost data affect the optimum path. A case study at the Municipality of Athens is used to illustrate the presented models.
Komilis
D P
DP
Laboratory of Solid and Hazardous Waste Management, Department of Environmental Engineering, School of Engineering, Democritus University of Thrace, Xanthi 671 00, Greece. dkomilis@env.duth.gr
D003363:Cost Control; D004787:Environmental Pollution / Q000517:prevention & control; D004867:Equipment Design; D006115:Greece; D006801:Humans; D008962:Models, Theoretical; D012037:Refuse Disposal / Q000191:economics / Q000295:instrumentation / Q000379:methods* / Q000592:standards; D012111:Residence Characteristics; D014186:Transportation; D014195:Travel; D014504:Urban Health; D014505:Urban Population