进化多目标优化优化废物能源网络

International Conference on Green technology and environmental Conservation (GTEC-2011) Pub Date : 2011-12-01 DOI:10.1109/GTEC.2011.6167637

A. Perera, D. Kuruppumullage, Nacr Nissanka, A. D. de Alwis

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引用次数: 2

摘要

通过城市生活垃圾的热转化回收能源被认为是一种潜在的废物管理技术和解决日益增长的能源需求。为了评估这种能量流现象的可行性，对三种情况进行了材料和现金建模，即废物的直接热转化，通过残留物衍生燃料(RDF)进行热转化和填埋。在此基础上，采用进化多目标优化方法，考虑净现值(NPV)和填埋容量，进行Pareto多目标优化。结果清楚地描述了目标函数的非线性波动对帕累托锋的显著影响，这在以往的研究中没有得到重视。

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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.

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International Conference on Green technology and environmental Conservation (GTEC-2011)

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