Optimization of Fuel Mix of Waste to Energy Plant Using Genetic Algorithm

Abstract

Growing population and industrialization results in continuous demand of power. Fossils fuels are major sources of generating power but they have been exploited to maximum extent so we have to think about alternate sources of power. Producing energy from waste is the new frontier for this problem. The use of this technology helps us to tackle two most important problems of present industrialization age civilization i.e. pollution and power demand at the same time. In this thesis various waste to energy technologies are discussed but main focus is on optimization of the fuel mix using optimization technique i.e. genetic algorithm. Genetic algorithm is a optimization technique which results out best fit answer or solution from a set of available values. In this thesis various combination of fuels are optimized to maximize the calorific value and minimize the cost of the fuel. Using programming in matlab final results are achieved.