Evolutionary multi objective optimization to optimize waste to energy network

Energy recovery through thermal conversion of municipal solid waste is been considered as a potential waste management technique and solution to the ever increasing energy demands. In order to evaluate the feasibility of this phenomena energy flow, material and cash modeling is done for three cases i.e. direct thermal conversion of waste, thermal conversion through Residue Derived Fuel (RDF) and landfilling. Further, Pareto multi objective optimization was performed considering Net Present Value (NPV) and landfilling capacity using evolutionary multi objective optimization. Results clearly depict, that non-linear fluctuations of objective functions are having a significant impact on Pareto front which has not being highlighted in previous studies.