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Exergy, economic and environmental (3E) analysis of a gas turbine power plant and optimization by MOPSO algorithm

In this article, exergy, exergoeconomic and exergoenvironmental analysis of a gas turbine cycle and its optimization has been carried out by MOPSO algorithm. In this paper, three objective functions namely total cost rate, exergy efficiency of cycle and CO2 emission rate have been considered. The design variables considered are: compressor pressure ratio, combustion chamber inlet temperature, gas turbine inlet temperature, compressor and gas turbine isentropic efficiency. In this paper, the impact of change in gas turbine inlet temperature and compressor pressure ratio on CO2 emission rate as well as impact of changes in gas turbine inlet temperature on exergy efficiency of the cycle has been investigated in different compressor pressure ratios. The results showed that with increase in compressor pressure ratio and gas turbine inlet temperature, CO2 emission rate decreases, that is this reduction is carried out with a steeper slope at lower pressure compressor ratio and gas turbine inlet temperature. The results showed that exergy efficiency of the cycle increases with increase in gas turbine inlet temperature and compressor pressure ratio. The sensitivity analysis of fuel cost changes was performed on objective functions. The results showed that at higher exergy efficiencies that total cost rate is greater, sensitivity of fuel cost optimum solutions is greater than Pareto curve with lower total cost rate. Also, the results showed that sensitivity of changes in fuel cost rate per unit of energy on total cost rate is greater than the rate of CO2 emission.
PAPER REVISED: 2017-03-21
PAPER ACCEPTED: 2017-03-21
  1. Kopac, M., Hilalci, A., Effect of ambient temperature on the efficiency of the regenerative and reheat Catalagzi power plant in Turkey, Applied Thermal Engineering, 27 (2007) , pp. 1377-1385.
  2. Ehyaei, M. A., Mozafari, A., Energy, Economic and Environmental (3E) Analysis of a Micro Gas TurbineEmployed for on-site Combined Heat and Power Production, Int. J. Energy and Buildings, 42 (2010), 2, pp. 259-264.
  3. Seyyedi, S. M., Ajam, H., Farahat, S., Thermoenvironomic optimization of gas turbine cycles with air preheat, Proceedings of the Institution of Mechanical Engineers - Part A, 225 (2011), pp. 12-23.
  4. Ahmadi, P., Almasi, A., Shahriyari, A. M., Dincer, I., Multi-objective optimization of a combined heat and power (CHP) system for heating purpose in a paper mill using evolutionary algorithm, Int. J. Energy Res, 36 (2012), 1, pp. 46-63.
  5. Ganjeh Kaviri, A., Nazri Mohd Jaafar, M., Mat Lazim, Th., Modeling and multi-objective exergy based optimization of a combined cycle power plant using a genetic algorithm, Energy Conversion and Management, 58 (2012), pp. 94-103.
  6. Shirazi, A., Aminyavari, M., Najafi, B., Rinaldi, F., Razaghi, M., Thermal-economic-environmental analysis and multi-objective optimization of an internal-reforming solid oxide fuel cell-gas turbine hybrid system, International Journal of Hydrogen Energy, 37 (2012), pp. 19111-19124.
  7. Sanaye,, S., Katebi, A., 4E analysis and multi objective optimization of a micro gas turbine and solid oxide fuel cell hybrid combined heat and power system, Journal of Power Sources, 247 (2014), pp. 294-306.
  8. Ehyaei, M. A., Tahani, M., Ahmadi, P., Esfandiari, M., Optimization of fog inlet air cooling system for combined cycle power plants using genetic algorithm, Applied Thermal Engineering, 76 (2015), pp. 449-461.
  9. Khaljani, M., Khoshbakhti Saray, R., Bahlouli, K., Comprehensive analysis of energy, exergy and exergo-economic of cogeneration of heat and power in a combined gas turbine and organic Rankine cycl, Energy Conversion and Management, 97 (2015), pp. 154-165.
  10. Khanmohammadi, Sh., Atashkari, K., Kouhikamali, R., Exergoeconomic multi-objective optimization of an externally fired gas turbine integrated with a biomass gasifier, Applied Thermal Engineering, 91 (2015), pp. 848-859.
  11. Ahmadi Boyaghchi, F., Molaie, H., Advanced exergy and environmental analyses and multi objective optimization of a real combined cycle power plant with supplementary firing using evolutionary algorithm, Energy, 93 (2015), 2, pp. 2267-2279.
  12. Valero, A., Lozano, M.A., Serra, L., Tsatsaronis, G., CGAM problem: definition and conventional solution, Int. J. Energy, 19 (1994), 3, pp. 279-286.
  13. Dincer, I., Rosen, M.A., Exergy: Energy, Environment and Sustainable Development, Elsevier, 2007.
  14. Kotas, T.J., The Exergy Method of Thermal Plant Analysis. Butterworths, London, 1985.
  15. Kotas, T.J., The Exergy Method of Thermal Plant Analysis, Krieger Publishing Company, Malabar, Florida, USA, 1995.
  16. Ahmadi, P., Dincer, I., Rosen M. A., Exergy, exergoeconomic and environmental analyses and evolutionary algorithm based multi-objective optimization of combined cycle power plants, Energy, 36 (2011), pp. 5886-5898.
  17. Toffolo, A., Lazzaretto, A., Energy, economy and environment as objectives in multicriteria optimization of thermal system design, Energy 29 (2004), pp. 1139-57.
  18. Rizk, N. K., Mongia, H. C., Semi analytical correlations for NOx, CO and UHC emissions, Journal of Engineering Gas Turbine and Power, 115 (1993), (3), pp. 612-9.