Shahrood University of Technology Journal of Solid and Fluid Mechanics 2251-9475 5 2 2015 06 22 Exergy, Exergoeconomic & Environmental Impact Analysis and Multi-Objective Optimization of Damavand Combined Cycle Power Plant Exergy, Exergoeconomic & Environmental Impact Analysis and Multi-Objective Optimization of Damavand Combined Cycle Power Plant 303 328 415 10.22044/jsfm.2015.415 FA M. Ameri H. Mokhtari M.Sc. Student, Mech. & Energy Eng. Dept., Shahid Beheshti Univ., Tehran, Iran Journal Article 2013 08 18 In this paper, a combined cycle power plant (CCPP) was optimized based on three criteria. The first criterion which is for heat recovery steam generator (HRSG) considers the increase of the whole cycle exergy efficiency as an objective function. The exergy analysis has revealed that drum is a high temperature sensitive part of HRSG with high exergy destruction. Therefore, the second optimization criterion was based on the drum saturated temperature which caused the exergy destruction reduction of this component. The third optimization criterion was based on the cost reduction, the increase of the whole cycle exergy efficiency and the decrease of CO₂ emission. To validate the results, the Damavand CCPP data has been used and the results have shown that the whole cycle optimization criterion yields better results in comparison with the other optimization criteria and it causes cost reduction (capital, environmental impacts and exergy destruction costs) as well as the increase of exergy efficiency. The value of CCPP decision parameters is highly dependent on the ambient temperature. Therefore, it is not possible to apply the same value for CCPP at various temperatures. The Genetic algorithm improved the cycle optimized parameters with respect two objectives of CO₂ emission and power plant costs reduction. In this paper, a combined cycle power plant (CCPP) was optimized based on three criteria. The first criterion which is for heat recovery steam generator (HRSG) considers the increase of the whole cycle exergy efficiency as an objective function. The exergy analysis has revealed that drum is a high temperature sensitive part of HRSG with high exergy destruction. Therefore, the second optimization criterion was based on the drum saturated temperature which caused the exergy destruction reduction of this component. The third optimization criterion was based on the cost reduction, the increase of the whole cycle exergy efficiency and the decrease of CO₂ emission. To validate the results, the Damavand CCPP data has been used and the results have shown that the whole cycle optimization criterion yields better results in comparison with the other optimization criteria and it causes cost reduction (capital, environmental impacts and exergy destruction costs) as well as the increase of exergy efficiency. The value of CCPP decision parameters is highly dependent on the ambient temperature. Therefore, it is not possible to apply the same value for CCPP at various temperatures. The Genetic algorithm improved the cycle optimized parameters with respect two objectives of CO₂ emission and power plant costs reduction. https://jsfm.shahroodut.ac.ir/article_415_cb8bbd497fce9c04b81046f77f7eb460.pdf