(587g) A Mixed Integer Programming Model for Municipal Waste Management and Landfill Gas-to-Energy Systems
Mathematical programming approaches have been proposed to address many issues concerning waste management from various perspectives. As an extension to the existing approaches, this paper presents a mixed integer multiperiod approach to optimize a MSW network, considering waste reduction processes and landfilling. An original formulation is proposed to improve the economics of the landfill operation. The model incorporates an optimal LFG-to-energy design, which involves the installation of several harnessing technologies depending upon the annual increasing or decaying of the LFG flow rate. A direct-hauling system and an optimally located off-municipality transfer station are used to optimize the transportation of the MSW to the potential destinations. Actual data from a municipality in Mexico (Celaya, Mexico) has been used to define our case-study. The resulting Mixed-Integer Linear Programming (MILP) model has been solved through the GAMS® modeling environment. Our formulation has been assessed through several scenarios, including different LFG collection efficiencies and a bioreactor landfill operation. The minimum total cost of the MSW management is achieved through the installation of an LFG-to-electricity system and a materials recycling facility.
Keywords: Municipal solid waste management, mathematical programming, Landfill gas-to-energy.