A multi-objective programming model for assessment the GHG emissions in MSW management

• Published in: Waste management (Elmsford) Vol. 33; no. 9; pp. 1934 - 1949
• Main Authors: Mavrotas, George, Skoulaxinou, Sotiria, Gakis, Nikos, Katsouros, Vassilis, Georgopoulou, Elena
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.09.2013; Elsevier
• Subjects: Applied sciences; ENERGY ACCOUNTING; ENVIRONMENTAL IMPACTS; ENVIRONMENTAL SCIENCES; Exact sciences and technology; Gases - analysis; General treatment and storage processes; GHG emissions; Greece; GREENHOUSE EFFECT; MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; METHANE; Models, Theoretical; MSW; Multi-objective mathematical programming; MUNICIPAL WASTES; OPTIMIZATION; Other wastes and particular components of wastes; Pollution; Refuse Disposal - methods; SANITARY LANDFILLS; SOLID WASTES; Urban and domestic wastes; Waste Disposal Facilities; Wastes; Greece; MSW; GHG emissions; Multi-objective mathematical programming; Optimization; Waste management; Methane; Waste dumping; Greenhouse gas; Urban waste; Solid waste; Pollutant emission; Modeling; Material balance; Mathematical programming
• ISSN: 0956-053X; 1879-2456
• DOI: 10.1016/j.wasman.2013.04.012

[Display omitted] •The multi-objective multi-period optimization model.•The solution approach for the generation of the Pareto front with mathematical programming.•The very detailed description of the model (decision variables, parameters, equations).•The use of IPCC 2006 guidelines for landfill emissions (first order decay model) in the mathematical programming formulation. In this study a multi-objective mathematical programming model is developed for taking into account GHG emissions for Municipal Solid Waste (MSW) management. Mathematical programming models are often used for structure, design and operational optimization of various systems (energy, supply chain, processes, etc.). The last twenty years they are used all the more often in Municipal Solid Waste (MSW) management in order to provide optimal solutions with the cost objective being the usual driver of the optimization. In our work we consider the GHG emissions as an additional criterion, aiming at a multi-objective approach. The Pareto front (Cost vs. GHG emissions) of the system is generated using an appropriate multi-objective method. This information is essential to the decision maker because he can explore the trade-offs in the Pareto curve and select his most preferred among the Pareto optimal solutions. In the present work a detailed multi-objective, multi-period mathematical programming model is developed in order to describe the waste management problem. Apart from the bi-objective approach, the major innovations of the model are (1) the detailed modeling considering 34 materials and 42 technologies, (2) the detailed calculation of the energy content of the various streams based on the detailed material balances, and (3) the incorporation of the IPCC guidelines for the CH4 generated in the landfills (first order decay model). The equations of the model are described in full detail. Finally, the whole approach is illustrated with a case study referring to the application of the model in a Greek region.