Research Article
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Year 2020, Volume: 23 Issue: 3, 216 - 222, 27.08.2020
https://doi.org/10.5541/ijot.710239

Abstract

References

  • [1].Marzbanrad, J., Sharifzadegan, A. and Kahrobaeian, A. (2007) “Thermodynamic Optimization of GSHPS Heat Exchangers” International Journal of Thermodynamics, Volume 10, Issue 3, pp. 107 – 112.
  • [2]. Gundersen, T., Naess, L. (1998) “The synthesis of cost optimal heat exchanger networks-an industrial review of the state of the art” Computers and Chemical Engineering, 12(6), pp. 503–530.
  • [3]. Furman, K., Sahinidis, N. (2002) “Critical Review and Annotated Bibliography for Heat Exchanger Network Synthesis in the 20th Century” Industrial & Engineering Chemistry Research, 41(10), pp. 2335-2370.
  • [4]. Grossmann, I., Caballero, J., Yeomans, H. (2000)“Advances in mathematical programming for the synthesis of process systems” Latin American Applied Research, 30(4), pp. 263–284.
  • [5]. Bjork, K. and Westerlund, T. (2002) “Global optimization of heat exchanger network synthesis problems with and without the isothermal mixing assumption” Computers and Chemical Engineering, 26, pp.1581–1593.
  • [6]. Karimi, H., Danesh Ashtiani, H.A. and Aghanajafi, C. (2019) "Study of mixed materials heat exchanger using optimization techniques", Journal of Engineering, Design and Technology,17(2), pp.414-433.
  • [7]. Hall, S.G. and Ahmad, S. (1990) “Capital cost targets for heat exchanger networks comprising mixed materials of construction, pressure ratings and exchanger types”, Computers Chemical Engineering, Vol. 14 No. 3, pp. 319-335.
  • [8]. Karimi H., Ahmadi‐Danesh‐Ashtiani H, Aghanajafi C. (2019) “Applying multiple decomposition methods and optimization techniques for achieving optimal cost in mixed materials heat exchanger networks. International Journal of Energy Research, 43, pp. 3711–3722.
  • [9]. Patel, V. and Rao, R. (2010) “Design optimization of shell-and-tube heat exchanger using particle swarm optimization technique” Applied Thermal Engineering, 30(12), pp. 1417-1425.
  • [10]. Selbas, R., Kızılkan, O. and Reppich, M. (2006) “A new design approach for shell-and-tube heat exchangers using genetic algorithms from economic point of view” Chemical Engineering Process, Vol. 45, pp. 268-275.
  • [11]. Caputo, A., Pelagagge, P. and Salini, P. (2008) “Heat exchanger design based on economic optimization” Applied Thermal Engineering, 28(10), pp. 1151-1159.
  • [12]. Hilbert, R., Janiga, G., Baron, R. and Thevenin, D. (2006)” “Multi-objective shape optimization of a heat exchanger using parallel genetic algorithms”, International Journal of Heat and Mass Transfer, 49(16), pp. 2567-2577.
  • [13]. Ozkol, I. and Komurgoz, G. (2005) “Determination of the optimum geometry of the heat exchanger body via a genetic algorithm”, International Journal of Heat and Mass Transfer, 48, pp. 283-296.
  • [14]. Ravagnani, M. and Caballero, J. (2007) “Optimal heat exchanger network synthesis with the detailed heat transfer equipment design” Computers and Chemical Engineering, 31, pp.1432–1448.
  • [15]. Ponco-Otega, J., Serna-González, M. and Jiménez-Gutiérrez, A. (2008) “Synthesis of multi pass heat exchanger networks using genetic algorithms” Computers & Chemical Engineering, (32), 10, pp. 2320-2332.
  • [16]. Rajagopal, T., Surana, A., Koppula, J., Harshit, S. and Kumar, U. (2017) "Numerical investigation of shell and tube heat exchanger using Al2O3 nanofluid". International Journal of Thermodynamics, 20, pp.59-68
  • [17]. Kennedy, J. and Eberhart, R. (1995) “Particle swarm optimization” Proceedings of the IEEE International Conference on Neural Networks Perth, Australia, pp.1942-1948.
  • [18]. Patel, V. and Rao, R. (2010) “Design optimization of shell-and-tube heat exchanger using particle swarm optimization technique” Applied Thermal Engineering, 30(12), pp. 1417-1425.
  • [19]. Taal, M., Bulatov, I., Klemes, J. and Stehlik, P. (2003) “Cost estimation and energy price forecast for economic evaluation of retrofit projects” Applied Thermal Engineering, Vol. 23, No. 14, pp. 1819-1835.

Optimization of the total annual cost in mixed materials heat exchanger network by detailed equipment design using particle swarm technique

Year 2020, Volume: 23 Issue: 3, 216 - 222, 27.08.2020
https://doi.org/10.5541/ijot.710239

Abstract

This paper investigated an optimization model for heat exchanger network by detailed design method for each heat exchanger unit. Particle swarm optimization technique is used to determine to optimum results in the mixed material heat exchanger network which included the capital and energy costs of heat exchangers. Mixed materials used in corrosive flows and included three types of exchangers such as cheap, expensive and mixed. Two methods used for achieving the optimum the total annual cost in mixed materials heat exchanger networks such as total and partial decompositions methods. The case study was used to show the application of the proposed method. The total annual cost has been reduced by detailed design in each heat exchanger by optimization technique. It has been reduced 20.7% compared with initial case in full integration method. The reduction of the total annual cost by detailed design in the partial decomposition method is 12.4% compared with the full integration method and 5.78% compared with the total decomposition method.

References

  • [1].Marzbanrad, J., Sharifzadegan, A. and Kahrobaeian, A. (2007) “Thermodynamic Optimization of GSHPS Heat Exchangers” International Journal of Thermodynamics, Volume 10, Issue 3, pp. 107 – 112.
  • [2]. Gundersen, T., Naess, L. (1998) “The synthesis of cost optimal heat exchanger networks-an industrial review of the state of the art” Computers and Chemical Engineering, 12(6), pp. 503–530.
  • [3]. Furman, K., Sahinidis, N. (2002) “Critical Review and Annotated Bibliography for Heat Exchanger Network Synthesis in the 20th Century” Industrial & Engineering Chemistry Research, 41(10), pp. 2335-2370.
  • [4]. Grossmann, I., Caballero, J., Yeomans, H. (2000)“Advances in mathematical programming for the synthesis of process systems” Latin American Applied Research, 30(4), pp. 263–284.
  • [5]. Bjork, K. and Westerlund, T. (2002) “Global optimization of heat exchanger network synthesis problems with and without the isothermal mixing assumption” Computers and Chemical Engineering, 26, pp.1581–1593.
  • [6]. Karimi, H., Danesh Ashtiani, H.A. and Aghanajafi, C. (2019) "Study of mixed materials heat exchanger using optimization techniques", Journal of Engineering, Design and Technology,17(2), pp.414-433.
  • [7]. Hall, S.G. and Ahmad, S. (1990) “Capital cost targets for heat exchanger networks comprising mixed materials of construction, pressure ratings and exchanger types”, Computers Chemical Engineering, Vol. 14 No. 3, pp. 319-335.
  • [8]. Karimi H., Ahmadi‐Danesh‐Ashtiani H, Aghanajafi C. (2019) “Applying multiple decomposition methods and optimization techniques for achieving optimal cost in mixed materials heat exchanger networks. International Journal of Energy Research, 43, pp. 3711–3722.
  • [9]. Patel, V. and Rao, R. (2010) “Design optimization of shell-and-tube heat exchanger using particle swarm optimization technique” Applied Thermal Engineering, 30(12), pp. 1417-1425.
  • [10]. Selbas, R., Kızılkan, O. and Reppich, M. (2006) “A new design approach for shell-and-tube heat exchangers using genetic algorithms from economic point of view” Chemical Engineering Process, Vol. 45, pp. 268-275.
  • [11]. Caputo, A., Pelagagge, P. and Salini, P. (2008) “Heat exchanger design based on economic optimization” Applied Thermal Engineering, 28(10), pp. 1151-1159.
  • [12]. Hilbert, R., Janiga, G., Baron, R. and Thevenin, D. (2006)” “Multi-objective shape optimization of a heat exchanger using parallel genetic algorithms”, International Journal of Heat and Mass Transfer, 49(16), pp. 2567-2577.
  • [13]. Ozkol, I. and Komurgoz, G. (2005) “Determination of the optimum geometry of the heat exchanger body via a genetic algorithm”, International Journal of Heat and Mass Transfer, 48, pp. 283-296.
  • [14]. Ravagnani, M. and Caballero, J. (2007) “Optimal heat exchanger network synthesis with the detailed heat transfer equipment design” Computers and Chemical Engineering, 31, pp.1432–1448.
  • [15]. Ponco-Otega, J., Serna-González, M. and Jiménez-Gutiérrez, A. (2008) “Synthesis of multi pass heat exchanger networks using genetic algorithms” Computers & Chemical Engineering, (32), 10, pp. 2320-2332.
  • [16]. Rajagopal, T., Surana, A., Koppula, J., Harshit, S. and Kumar, U. (2017) "Numerical investigation of shell and tube heat exchanger using Al2O3 nanofluid". International Journal of Thermodynamics, 20, pp.59-68
  • [17]. Kennedy, J. and Eberhart, R. (1995) “Particle swarm optimization” Proceedings of the IEEE International Conference on Neural Networks Perth, Australia, pp.1942-1948.
  • [18]. Patel, V. and Rao, R. (2010) “Design optimization of shell-and-tube heat exchanger using particle swarm optimization technique” Applied Thermal Engineering, 30(12), pp. 1417-1425.
  • [19]. Taal, M., Bulatov, I., Klemes, J. and Stehlik, P. (2003) “Cost estimation and energy price forecast for economic evaluation of retrofit projects” Applied Thermal Engineering, Vol. 23, No. 14, pp. 1819-1835.
There are 19 citations in total.

Details

Primary Language English
Subjects Chemical Engineering
Journal Section Regular Original Research Article
Authors

Habib Karimi

Hossein Danesh Ashtiani This is me

Cyrus Aghanajafi This is me

Publication Date August 27, 2020
Published in Issue Year 2020 Volume: 23 Issue: 3

Cite

APA Karimi, H., Danesh Ashtiani, H., & Aghanajafi, C. (2020). Optimization of the total annual cost in mixed materials heat exchanger network by detailed equipment design using particle swarm technique. International Journal of Thermodynamics, 23(3), 216-222. https://doi.org/10.5541/ijot.710239
AMA Karimi H, Danesh Ashtiani H, Aghanajafi C. Optimization of the total annual cost in mixed materials heat exchanger network by detailed equipment design using particle swarm technique. International Journal of Thermodynamics. August 2020;23(3):216-222. doi:10.5541/ijot.710239
Chicago Karimi, Habib, Hossein Danesh Ashtiani, and Cyrus Aghanajafi. “Optimization of the Total Annual Cost in Mixed Materials Heat Exchanger Network by Detailed Equipment Design Using Particle Swarm Technique”. International Journal of Thermodynamics 23, no. 3 (August 2020): 216-22. https://doi.org/10.5541/ijot.710239.
EndNote Karimi H, Danesh Ashtiani H, Aghanajafi C (August 1, 2020) Optimization of the total annual cost in mixed materials heat exchanger network by detailed equipment design using particle swarm technique. International Journal of Thermodynamics 23 3 216–222.
IEEE H. Karimi, H. Danesh Ashtiani, and C. Aghanajafi, “Optimization of the total annual cost in mixed materials heat exchanger network by detailed equipment design using particle swarm technique”, International Journal of Thermodynamics, vol. 23, no. 3, pp. 216–222, 2020, doi: 10.5541/ijot.710239.
ISNAD Karimi, Habib et al. “Optimization of the Total Annual Cost in Mixed Materials Heat Exchanger Network by Detailed Equipment Design Using Particle Swarm Technique”. International Journal of Thermodynamics 23/3 (August 2020), 216-222. https://doi.org/10.5541/ijot.710239.
JAMA Karimi H, Danesh Ashtiani H, Aghanajafi C. Optimization of the total annual cost in mixed materials heat exchanger network by detailed equipment design using particle swarm technique. International Journal of Thermodynamics. 2020;23:216–222.
MLA Karimi, Habib et al. “Optimization of the Total Annual Cost in Mixed Materials Heat Exchanger Network by Detailed Equipment Design Using Particle Swarm Technique”. International Journal of Thermodynamics, vol. 23, no. 3, 2020, pp. 216-22, doi:10.5541/ijot.710239.
Vancouver Karimi H, Danesh Ashtiani H, Aghanajafi C. Optimization of the total annual cost in mixed materials heat exchanger network by detailed equipment design using particle swarm technique. International Journal of Thermodynamics. 2020;23(3):216-22.