International Scientific Journal

Thermal Science - Online First

Authors of this Paper

External Links

online first only

Simplified logistics model and its application in process simulation

In order to solve the problem of complex calculation of logistics value in process simulation, based on the parameter characteristics of Aspen Plus, a simplified logistics calculation model is proposed. The comparison with exercom shows that the error of the calculation results in this paper is less than 1%, which verifies the correctness of the model. The calculation model of logistics flow provides convenience for process simulation software Aspen Plus to analyze the simulation process. Based on the logistics calculation model and the "fuel cost" model of thermal economics, a coal-fired boiler of a domestic unit is analyzed. The results show that the heat loss of the boiler mainly occurs in the process of coal decomposition and combustion, followed by the heat exchange process between flue gas and main heat exchange surface. The overall efficiency of the boiler is 46.4%.
PAPER REVISED: 2020-09-08
PAPER ACCEPTED: 2020-09-28
  1. Бродянский, B. M. Exergy method and its application. China Electric Power Press, 1996.
  2. Wang, D. et al. Exergy calculation method based on flow sheeting simulation and its application. Computers and Applied Chemistry, 29 (2012), 9, pp. 1069-1074.
  3. Kotas, T. J. Exergy method of thermal and chemical plant analysis. Chemical engineering research & design, 64(1986), 3, pp. 212-229.
  4. Hinderink, A. P. et al., Exergy analysis with a flowsheeting simulator—I. Theory; calculating exergies of material streams. Chemical Engineering Science, 51(1996), 20, pp. 4693-4700.
  5. Hinderink, A. P. et al., Exergy analysis with a flowsheeting simulator—II. Application; synthesis gas production from natural gas. Chemical Engineering Science, 51(1996), 20, pp. 4701-4715.
  6. Palacios-Bereche, al., Exergy calculation of lithium bromide-water solution and its application in the exergetic evaluation of absorption refrigeration systems LiBr‐H2O. International Journal of Energy Research, 36(2012), 2, pp. 166-181.
  7. Sen, P. K. Exergy analysis of mineral processing flow sheets: implications in process design. Proceedings of the XI International Seminar on Mineral Processing Technology (MPT) 2010. Allied Publishers, New Delhi, 2010, 2(Section 15): 1239-1247.
  8. Abdollah i Demneh, F. et al. Calculating exergy in flowsheeting simulators: A HYSYS implementation. Energy, 2011, 36(8), pp. 5320 5327.
  9. Montelongo Luna, J. M. et al. al., An open source exergy calculator tool. Proceedings of the Canadian Engineering Education Association , 2011.
  10. Ghannadzadeh, A. et al. General methodology for exergy balance in ProSimPlus process simulator. Energy , 44, (2012), 1: 38 59.
  11. Ghannadzadeh, A. et al. al., Exergetic balances and analysis in a Process Simulator : A way to enhance Process Energy Integration. University of Toulouse, 2013.
  12. Zhu, Z., and Wu,Y., Chemical Thermodynamics . Beijing: Chemical Industry Press,
  13. Rivero, R., and Garfias, M., Standard chemical exergy of elements updated. Energy , 2 006, 31(15): 3310-3326.
  14. JACOBS Consultancy. ExerCom v2.2 manual for AspenPlus version 2006 & 2006.5 (local PC version)
  15. Liu, R. Calculation and analysis of heat loss in adiabatic combustion of coal. Industrial heating, (1992), 6, pp. 001
  16. Nishida, K, Takagi, T, Kinoshita, S. Analysis of entropy generation and exergy loss during combustion. Proceedings of the Combustion Institute, 29(2002), 1: 869-874.
  17. Cui, Y. The research on exergy distribution characteristic s of power plant coal fired boiler based on Aspen Plus. North China Electric Power University, 2010.
  18. Song, G. et al. A unified correlation for estimating specific chemical exergy of solid and liquid fuels. Energy , 2012, 40(1): 164-173.
  19. Wang, S., and Hu, G. Impact of Chinese Power Coal Properties on Adiabatic Combustion Temperatures. Proceedings of the CSEE . 2013, 33(35): 15-20.