Algorithmic tools for optimizing the temperature regime of evaporator at absorption-refrigeration units of ammonia production

Authors

DOI:

https://doi.org/10.15587/1729-4061.2018.139633

Keywords:

ammonia production, absorption-refrigeration unit, evaporator, consumption of reflux, temperature optimization algorithm

Abstract

We analyzed evaporators at absorption-refrigeration plants in a secondary condensation unit of ammonia production as control objects. Coordinates of the vectors of state, control and external perturbations were determined. The necessity of solving the problem on minimizing the cooling temperature of a circulating gas at evaporators in order to improve the energy efficiency of production was substantiated. Based on the analysis of industrial hardware-technological implementation of units for primary and secondary condensation, we elucidated features of operating conditions of evaporators, which predetermine the parametric uncertainty in the functioning of control objects. The main one among these uncertainties is associated with the control action related to the consumption of reflux. By using the method of mathematical modeling, based on the developed algorithm, we defined patterns of control action related to the consumption of reflux on the efficiency of heat exchange processes at evaporators in the absorption refrigeration units. We have established the extreme character of dependence of the heat flow (cooling capacity) and the temperature of cooling a circulating gas on the consumption of reflux. Maximum cooling capacity, and therefore the minimum temperature of cooling a circulating gas at a certain temperature head, are predetermined by the achievement of a critical regime of the bubbling boiling of a refrigerant. A further increase in the temperature head with an increase in the consumption of reflux contributes to the establishment of the transitional regime and reduces effectiveness of the heat exchange surface. We determined indicators of energy efficiency for ammonia production, namely, natural gas consumption under conditions of change in the control action related to the consumption of reflux and values of coordinates for the perturbation vector. The developed algorithmic tools make it possible to carry out the task on minimizing the cooling temperature of a circulating gas using a gradient-free technique of the step type applying the methods for a one-dimensional search for an extremum. It is shown that minimizing the cooling temperature of a circulating gas could reduce annual natural gas consumption by 500 thousand nm3 on average.

Author Biographies

Anatoliy Babichenko, National Technical University "Kharkiv Polytechnic Institute" Kyrpychova str., 2, Kharkiv, Ukraine, 61002

PhD, Associate Professor

Department of Automation engineering systems and environmental monitoring

Yana Kravchenko, National Technical University "Kharkiv Polytechnic Institute" Kyrpychova str., 2, Kharkiv, Ukraine, 61002

Postgraduate student

Department of Automation engineering systems and environmental monitoring

Juliya Babichenko, Ukrainian State University of Railway Transport Feierbakha sq., 7, Kharkiv, Ukraine, 61050

PhD, Associate Professor

Department of Thermal Engineering and heat engines

Igor Krasnikov, National Technical University "Kharkiv Polytechnic Institute" Kyrpychova str., 2, Kharkiv, Ukraine, 61002

PhD, Associate Professor

Department of Automation engineering systems and environmental monitoring

Ihor Lysachenko, National Technical University "Kharkiv Polytechnic Institute" Kyrpychova str., 2, Kharkiv, Ukraine, 61002

PhD, Associate Professor

Department of Automation engineering systems and environmental monitoring

Vladimir Velma, National University of Pharmacy Pushkinska str., 53, Kharkiv, Ukraine, 61002

PhD, Associate Professor

Department processes and devices of chemical- pharmaceutical industries

References

  1. White, S. D., O’Neill, B. K. (1995). Analysis of an improved aqua-ammonia absorption refrigeration cycle employing evaporator blowdown to provide rectifier reflux. Applied Energy, 50 (4), 323–337. doi: https://doi.org/10.1016/0306-2619(95)98802-9
  2. Galimova, L. V., Kayl', V. Ya., Vedeneeva, A. I. (2015). Ocenka stepeni termodinamicheskogo sovershenstva na osnove analiza raboty deystvuyushchey absorbcionnoy holodil'noy ustanovki sistemy sinteza ammiaka. Vestnik mezhdunarodnoy akademii holoda, 4, 55–60.
  3. Babichenko, A. K., Toshinskiy, V., Babichenko, Yu. A. (2007). Issledovanie energeticheskoy effektivnosti absorbcionno-holodil'nyh ustanovok krupnotonnazhnyh agregatov sinteza ammiaka. Vestnik «KhPI», 32, 67–74.
  4. Babichenko, A., Velma, V., Babichenko, J., Kravchenko, Y., Krasnikov, I. (2017). System analysis of the secondary condensation unit in the context of improving energy efficiency of ammonia production. Eastern-European Journal of Enterprise Technologies, 2 (6 (86)), 18–26. doi: https://doi.org/10.15587/1729-4061.2017.96464
  5. Lutska, N. M., Ladaniuk, A. P. (2016). Optymalni ta robastni systemy keruvannia tekhnolohichnymy obiektamy. Kyiv: Lira-K, 288.
  6. Babichenko, A., Babichenko, J., Kravchenko, Y., Velma, S., Krasnikov, I., Lysachenko, I. (2018). Identification of heat exchange process in the evaporators of absorption refrigerating units under conditions of uncertainty. Eastern-European Journal of Enterprise Technologies, 1 (2 (91)), 21–29. doi: https://doi.org/10.15587/1729-4061.2018.121711
  7. Garimella, S., Mostafa, S., Sheldon, M. (2012). Ammonia-water desorption in flooded columns. Georgia Institute of Technology, Sheldon, 148.
  8. Babichenko, A. K., Eroshchenkov, S. A., Efimov, V. G., Bukarov, A. R., Mazur, A. A., Meriuc, V. I. (1979). A. S. No. 802745 SSSR. Sposob upravleniya rezhimom raboty absorbcionnoy holodil'noy ustanovki. MKI F25 B49/00, F25 B15/02. No. 2721832/23-06; declareted: 07.02.1979; published: 07.02.1981, Bul. No. 5.
  9. Bogart, M. J. P. (1982). Ammonia absorption refrigeration. Plant/Operations Progress, 1 (3), 147–151. doi: https://doi.org/10.1002/prsb.720010306
  10. Shukla, A., Mishra, A., Shukla, D., Chauhan, K. (2015). C.O.P Derivation and thermodynamic calculation of ammonia-water vapor absorption refrigeration system. International journal of mechanical engineering and technology, 6 (5), 72–81.
  11. Yunus, A. Ç. (2009). Introduction to thermodynamics and heat transfer. New York: McGraw-Hill, 960.
  12. Hare, W., Nutini, J., Tesfamariam, S. (2013). A survey of non-gradient optimization methods in structural engineering. Advances in Engineering Software, 59, 19–28. doi: https://doi.org/10.1016/j.advengsoft.2013.03.001
  13. Ravindran, A., Ragsdell, K. M., Reklaitis, G. V. (2007). Engineering optimization: methods and applications. New York: John Wiley & Sons, 667. doi: https://doi.org/10.1002/9780470117811

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Published

2018-07-27

How to Cite

Babichenko, A., Kravchenko, Y., Babichenko, J., Krasnikov, I., Lysachenko, I., & Velma, V. (2018). Algorithmic tools for optimizing the temperature regime of evaporator at absorption-refrigeration units of ammonia production. Eastern-European Journal of Enterprise Technologies, 4(2 (94), 29–35. https://doi.org/10.15587/1729-4061.2018.139633