Thermoeconomic optimization and investigation of condensation effect on Shell & Tube condenser in the presence of non-condensable gases with a new approach

Authors

Mechanical Engineering Department, Arak University of Technology, Arak, Iran.

Abstract

A thermo-economic performance optimization has been carried out for a shell and tube condenser TEMA-E. In the considered model, the irreversibilities due to heat transfer between the hot and cold stream are taken into account. The objective function is defined as the actual heat transfer rate per unit total cost considering lost exergy and investment costs. The optimal performance and design parameters which maximize the objective function have been investigated. The effects of the technical and economical parameters on the general and optimal thermo-economical performances have been also discussed. The results show that the objective function increases with increasing heat capacity ratio and decreasing inlet temperature and ambient temperature ratio. The dominant term in entropy generation in this study is due to the heat exchange between the condensed fluid and the cold fluid. According to the operating conditions of the heat exchanger, a correlation has been obtained for the thermal efficiency that maximizes the objective function. Optimal value of the design variables obtained from Pattern search method and the Ant Lion Optimizer method are relatively different at about 0-0.13%; depending on the type of optimization method and its internal operators. But the optimal value of the objective function in both methods is approximately 16.08. The analysis and optimization presented herein may provide a basis for both determinations of the optimal performance parameters for real heat exchanger.

Keywords

References

[1] Dincer I, Haseli Y, Naterer G (2008) Thermal effectiveness correlation for a shell and tube condenser with noncondensing gas. J Thermophys Heat Trans 22(3): 501-507.
[2] Haseli Y, Dincer I, Naterer GF (2010) Exergy efficiency of two-phase flow in a shell and tube condenser. Heat Transf Eng 31(1): 17-24.
[3] Abdolalipouradl M, Khalilarya S, Jafarmadar S (2019) Exergoeconomic analysis of a novel integrated transcritical CO2 and Kalina 11 cycles from Sabalan geothermal power plant. Energy Convers Manag 195: 420-435.
[4] Abdolalipouradl M, Khalilarya S, Jafarmadar S (2019) Energy and exergy analyses of various configures for combined flash-binary cycles using Sabalan geothermal wells. Journal of Solid and Fluid Mechanics 9(4): 237-249.
[5] Gupta A, Das SK (2007) Second law analysis of crossflow heat exchanger in the presence of axial dispersion in one fluid. Energy 32(5): 664-672.
[6] Sahin B, Ust Y, Teke I, Erdem HH (2010) Performance analysis and optimization of heat exchangers: a new thermoeconomic approach. Appl Therm Eng 30(2-3):104-9.
[7] Söylemez M. (2000)On the optimum heat exchanger sizing for heat recovery. Energy Convers Manag 41(13):1419-27.
[8] Söylemez M (2003) On the thermoeconomical optimization of fin sizing for waste heat recovery. Energy Convers Manag 44(6): 859-866.
[9] Söylemez M (2003) On the thermoeconomical optimization of heat pipe heat exchanger HPHE for waste heat recovery. Energy Convers Manag 44(15): 2509-2517.
[10] Söylemez M (2008) Optimum length of finned pipe for waste heat recovery. Energy Convers Manag 49(1): 96-100.
[11] Kaushik S, Manjunath K (2014) Entropy generation and thermoeconomic analysis of the wire-and-tube condenser. Int J Ambient Energy 35(2): 80-93.
[12] Genić S, Jaćimović B, Petrovic A (2018) A novel method for combined entropy generation and economic optimization of counter-current and co-current heat exchangers. Appl Therm Eng 136: 327-334.
[13] Raja BD, Jhala R, Patel V (2017) Many-objective optimization of shell and tube heat exchanger. herm. Sci Eng Prog 2: 87-101.
[14] Ghorbani M, Ranjbar S (2019) Optimization of compressed heat exchanger efficiency by using genetic algorithm. Int J Appl Mech 24(2).
[15] Mann GW, Eckels S (2019) Multi-objective heat transfer optimization of 2D helical micro-fins using NSGA-II. Int J Heat Mass Transf 132: 1250-1261.
[16] Xu Z, Guo Y, Mao H, Yang F (2019) Configuration optimization and performance comparison of STHX-DDB and STHX-SB by a multi-objective genetic algorithm. Energies 12(9): 1794.
[17] Wang X, Zheng N, Liu Z, Liu W (2018) Numerical analysis and optimization study on shell-side performances of a shell and tube heat exchanger with staggered baffles.  Int J Heat Mass Transf 124: 247-259.
[18] Bahri S, Yasin Ust, Ismail Teke, Hasan Huseyin Erdem (2010) Performance analysis and optimization of heat exchangers: A new thermoeconomic approach. App Ther Eng 104-109.
[19] Thulukkanam K (2000) Heat exchanger design handbook. CRC press.
[20] Bergman TL, Incropera FP, DeWitt DP, Lavine AS (2011) Fundamentals of heat and mass transfer. John Wiley & Sons.
[21] Audet C, Dennis Jr JE (2002) Analysis of generalized pattern searches. SIAM J Optim 13(3): 889-903.
[22] Mirjalili S (2015) The ant lion optimizer. Adv Eng Softw 83: 80-98.
[23] Haseli Y, Roudaki SJM (2004) A calculation method for analysis condensation of a pure vapor in the presence of a noncondensable gas on a shell and tube condenser. Heat Transfer Summer Conference.
Journal of Solid and Fluid Mechanics
Volume 12, Issue 1
March and April 2022
Pages 159-173

Files

Share

How to cite

Statistics