Article ID Journal Published Year Pages File Type
10265595 Computers & Chemical Engineering 2005 10 Pages PDF
Abstract
This paper develops a supervisory level optimization tool for a waste incineration plant, which utilises a multi-objective genetic algorithm (MOGA). A MOGA is ideally suited to providing decision support to a human operator because it returns a Pareto-optimal set of solutions; this allows the user to transparently assess the benefits and penalties associated with a range of candidate control decisions. Specifically, the tool enables controllable parameters to be adjusted for maximum throughput, whilst minmising emissions and keeping within operational constraints. The optimization procedure is independent of plant construction and waste stream input, and is demonstrated here on the model of a municipal solid waste incineration plant.
Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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