Mohammad Hassan Khoshgoftar Manesh; Mojtaba Babaelahi
Abstract
In this paper, Multi-Objective Optimization of a 160 MW combined cycle power plant has been performed from Exergetic, Economic, Environmental aspects simultaneously. In this regard, ...
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In this paper, Multi-Objective Optimization of a 160 MW combined cycle power plant has been performed from Exergetic, Economic, Environmental aspects simultaneously. In this regard, thermodynamic, exergetic and thermoeconomic modeling and simulation for this case have been done. The Multi Objective Evolutionary Algorithms (MOEAs) are used and evaluated by MINLP approach to find optimum design in view of exergetic, exergoeconomic and environmental impacts. In order to facilitate selecting optimum sets, the environmental impact objective function has been defined and expressed in cost terms and added to the economic objective. Furthermore, extended combined pinch and exergy analysis has been performed to demonstrate the system graphically for each case in the base case and the optimum case. So, the performance of a different component of the system can be demonstrated better. In addition, the feasible region for optimization problem has been indicated by extended combined pinch and exergy method. Results show overall exergetic efficiency increases about 7.5% through MOEA method. Finally, the exergetic product cost of electricity reduces to 0.0183 $/MJ consecutively
