Optimisation of an industrial cogeneration system by means of a multi-objective genetic algorithm
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Publisher Summary In this chapter, the problem of optimizing the operation of an industrial cogeneration system is addressed with an advanced-level optimization technique that is based on a multiobjective genetic algorithm (GA). This optimization method, which is usually referred to as the Pareto technique, is widely used in optimization problems where multiple parameters must be optimally configured simultaneously. While maintaining the robustness of gas, this method utilizes multiple objective functions to better describe the problem. For the calculation of the fitness functions, the Pareto GA utilizes both the simulation model of the system and specified constraints, to solve the optimization problem. The optimization problem at hand consists of a cogeneration system with a recovery boiler. This system comprises a "superstructure" that in general may include technologies such as combustion, air preheating, oxygen enrichment of air, gas turbine, advanced gas turbine, partial oxidation gas-turbine, gas or diesel engine.
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