International Scientific Journal


Thermodynamic optimization of thermal devices requires information about the influence of operational and structural parameters on its behaviour. The interconnections among parameters can be estimated by tools such as CFD, experimental statistic of the deviceetc. Despite precise and comprehensive results obtained by CFD, the time of computations is relatively long. This disadvantage often cannot be accepted in case of optimization as well as online control of thermal devices. As opposed to CFD the neural network or regression is characterized by short computational time, but does not take into account any physical phenomena occurring in the considered process. The CFD model of heat exchanger was built using commercial package Fluent/Ansys. The empirical model of heat exchanger has been assessed by regression and neural networks based on the set of pseudo-measurements generated by the exact CFD model. In the paper, the usage of the developed empirical model of heat exchanger for the minimisation of TEC is presented. The optimisationconcerns operational parameters of heat exchanger. The TEC expresses the cumulative exergy consumption of non-renewable resources. The minimization of the TEC is based on the objective function formulated by Szargut. However, the authors extended the classical TEC by the introduction of the exergy bonus theory proposed by Valero. The TEC objective function fulfils the rules of life cycle analysis because it contains the investment expenditures (measured by the cumulative exergy consumption of non-renewable natural resources), the operation of devices and the final effects of decommissioning the installation.
PAPER REVISED: 2014-02-27
PAPER ACCEPTED: 2014-03-04
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2014, VOLUME 18, ISSUE Issue 3, PAGES [853 - 862]
  1. Bejan, A., Entropy Generation Minimization: the New Thermodynamic of Finite-Size Devices and Finite-Time Processes, Journ. Applied Physics Reviews, 79 (1996), 3, pp. 1191-1218
  2. Bejan, A., Entropy Generation through Heat and Fluid Flow, John Wiley & Sons, New York, USA, 1982
  3. Szargut, J., Stanek, W., Comparison of Economic and Thermo-Ecologic Optimization of Thermal Processes, Report from research project 8T10B05518 (in Polish), Gliwice, Poland, 2005
  4. Cornellisen, R. L., Hirs, G. G., The value of Exergetic Life Cycle Assessment besides LCA, Conversion and Management, 43 (2002), 9-12, 1417-1424
  5. Finneveden, G., Ostlund, P., Exergies of Natura Resources in Life-Cycle Assessment and Other Applications, Energy, 22 (1997), 9, pp. 923-931
  6. Sciubba, E., Beyond Thermoeconomics? The Concept of Extended Exergy Accounting and its Application to the Analysis and Design of Thermal Systems, Exergy, 1 (2001), 2, pp. 68-84
  7. Szargut, J., Minimization of the Depletion of non-Renewable Resources by Means of the Optimization of Design Parameters, Energy29 (2004), 12-15, pp. 2161-2169
  8. Valero, A., Botero, E., An Exergetic Assessment of Natural Mineral Capital (1): Reference Environment, a Thermodynamic Model for Degradated Earth, Proc., Conf. ECOS', Berlin, 2002, Vol. 1, pp. 54-61
  9. Valero, A., Botero, E., An Assessment of the Earth's Clean Fossil Exergy Capital Based on Exergy Abatement Cost., Proc. Conf. ECOS', Berlin, 2002, Vol. 1, pp. 151-157
  10. Wall, G., Gong, M., On Exergy and Sustainable Development, Part 1, Exergy, 1 (2001), 3, pp.128-145
  11. Szargut, J., ExergyMethod, Technical and Ecological Applications, WIT Press, Southampton, Boston, 2005
  12. Stanek, W., Iterative Evaluating Method of the Ecological Cost of Imported Goods, Proc., ECOS'01, Istanbul, Turkey, 2001, Vol. 2, pp. 575-80
  13. Szargut, J., Stanek, W., Thermo-Ecological Optimization of a Solar Collector, Energy, 32 (2007), 4, pp. 584-590
  14. Szargut, J., et al., Depletion of the Unrestorable Natural Exergy Resources as a Measure of the Ecological Cost, Energy Conversion and Management, 42 (2002), 9-12, pp. 1149-1163
  15. Ferziger, J. H., Peric, M., Computational Methods for Fluid Dynamics, Springer-Verlag, Berlin, Heidelberg, Germany, 2002
  16. Szczygiel, I., et al., CFD Aided Thermo-Ecological Optimization of Selected Thermal Device, Proceedings, 1st International Congress on Thermodynamics, "Thermodynamics in Science and Technology", 2011, Poznan, Poland, Vol. 2, pp. 1064-1076
  17. Szargut, J., Stanek, W., Fuel Part and Mineral Part of the Thermoecological Cost., International Journal of Thermodynamics, 15 (2012), 4, pp. 187-190
  18. Valero, A., Valero, Al., Exergoecology: A Thermodynamic Approach for Accounting the Earth's Mineral Capital, the Case of Bauxite-Aluminium and Limestone-Lime Chains, Energy, 35 (2010), 1, pp. 229-238
  19. Valero, Al., Valero, A., A Prediction of the Exergy Loss of the World's Mineral Reserves in the 21st Century, Energy, 36 (2011), 4, pp. 1848-1854
  20. Valero, Al., Valero, A., et al., Inventory of the Exergy Resources on Earth Including its Mineral Capital Energy, 35 (2010), 2, pp. 989-995
  21. Valero, Al., Valero, A., What is the Cost of Losing Irreversibly the Mineral Capital on Earth? Proceedings, 25th ECOS, Perugia, Italy, 2012, Vol. 2, pp. 352-363
  22. Sloma, J., et al., Modelling of Thermal Phenomena in Electric Arc During Surfacing, Archives of Civil and Mechanical Engineering, 11 (2011), 2, pp. 437-449
  23. Szczygiel, I., et al., Identification of the Boundary Surfaces in 3D Finite-Element Codes, Advances in Engineering Software, 14 (1992), 4, pp.33-39
  24. Szczygiel, I., et al., Thermo-Ecological Optimisation of the Heat Exchanger Based on CFD Modelling, Proceedings,23th ECOS, Lausanne, Switzerland, 2010, Vol. 3, pp. 301-306
  25. Tadeusiewicz, R., Neural Networks (in Polish), Academic Press RM, Warszawa, 1993
  26. Draper, N. R, Smith. H., Applied Regression Analysis (in Polish), PWN, Warszawa, 1973
  27. ***, Documentation of MathWorks,

© 2022 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence