Title :
Evolutionary multi objective optimization to optimize waste to energy network
Author :
Perera, A.T.D. ; Kuruppumullage, D.N.S. ; Nissanka, N.A.I.D. ; de Alwis, A.A.P.
Author_Institution :
Dept. of Mech. Eng., Univ. of Moratuwa, Katubedda, Sri Lanka
Abstract :
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.
Keywords :
Pareto optimisation; evolutionary computation; incineration; waste; Pareto multi objective optimization; energy demands; energy recovery; evolutionary multi objective optimization; landfilling; municipal solid waste management; phenomena energy flow; residue derived fuel; thermal conversion; waste to energy network; Algorithm design and analysis; Biological system modeling; Integrated circuit modeling; Mathematical model; Optimization; Resource description framework; Evolutionary Algorithms; Landfilling; Multi Objective Optimization; RDF; Thermal Incineration of Waste; Waste Management;
Conference_Titel :
Green Technology and Environmental Conservation (GTEC 2011), 2011 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-0179-4
DOI :
10.1109/GTEC.2011.6167637
