Authors

Justification of energy efficient air handling processes in conditioning systems

DOI: 10.17586/1606-4313-2021-20-3-23-31
UDC 697.9

Justification of energy efficient air handling processes in conditioning systems

Salman A.S.S., Sulin A.B., Lysyov V.I. , Ryabova T.V.

For citation: Salman A.S., Sulin A.B., Lysev V.I., Ryabova T.V. Justification of energy efficient air handling processes in conditioning systems. Journal of International Academy of Refrigeration. 2021. No 3. p. 23-31. DOI: 10.17586/1606-4313-2021-20-3-23-31

Abstract
Possibilities and prospects of assessing the quality of air conditioning system solution by quantitative indicators based on the system approach of energy-saving modes by Professor A.A. Rymkevich are considered. In accordance with the generally accepted formulation, technological parameters expressed by a numerical characteristic describe the performance of the system. The choice of indicators and optimization criteria is one of the main issues of the system approach. An important role is played by oriented indicators, which are characterized by some predetermined numerical value for given conditions. Then, any decision to be made can be evaluated by the degree of deviation of the true value from the limiting indicator. The calculation of the criteria of technological indicators should be based on the natural costs, not related to the market conditions. The formation of the quality of a particular air conditioning system solution is based on the technological sequence of thermal and humid air treatment processes, which are implemented through the corresponding modes of operation of the system during the period of operation under consideration. Therefore, an important link at the stage of conceptual design of air conditioning systems is a reasonable choice of technology for heat and humidity treatment of air, which includes a sequence of optimal, from the point of view of consumption of technological resources (consumption of heat, cold, air and water). A method of forming energy efficient air conditioning systems on the basis of a statistical model of climatic parameters of ambient air for different time intervals and climatic regions is proposed.

Keywords: air conditioning system, technological parameters, outdoor climate, load class, energy-saving mode

All references

1. Federal Law № 261-FЗ dated November 23, 2009. On energy saving and increasing energy efficiency and on amendments to separate legislative acts of the Russian Federation. Collection of laws of the Russian Federation. 2009, No 48. Art. 5711. (in Russian)

2. Rymkevich A.A. System analysis of optimization of general exchange ventilation and air conditioning, St. Petersburg: AVOK North-West, 2003. p. 271.(in Russian)

3. Kochenkov N.V., Kochenkov V.N. Choice of criterial indicator and analysis of its target function in the problem of optimization of technological process of air treatment in air conditioning systems. Bulletin of civil engineers. 2016, No 4 (57).(in Russian)

4. Rymkevich A.A. Opportunities and prospects of quality estimation of ACS solution by quantitative indicators based on the system approach. Engineering systems. 2007. No 2. p. 16-24.(in Russian)

5. State standard 2.119-2013. Unified system for design documentation (USКD). Sketch design.(in Russian)

6. Popirien L.S. Mathematical modeling and optimization of thermal power plants. Moscow. Energy, 1978. 416 p.(in Russian)

7. Sotnikov A.G. Design and calculation of ventilation and air conditioning systems. Full set of requirements, source data and calculation information for CO, SPV, ACS, SGVS and SHS (In 2 volumes with continuation). Vol. 1, St. Petersburg, 2013. p. 423.(in Russian)

8. Abu Bakar N.N., Hassan M.Y., Abdullah H., Rahman H.A., Abdullah M.P., Hussin F., Bandi M. Energy efficiency index as an indicator for measuring building energy performance: A review, Renew. Sustain. Energy Rev. 44 (2015) 1–11. DOI: 10.1016/J.RSER.2014.12.018.

9. Gvozdkov A. Modern solutions to improve the efficiency of air treatment in HVAC Systems. The 9th International Conference “Environmental Engineering”. Selected Papers, Article number: enviro. 2014. 260 p.

10. Gavrilin V.A., Karakeyan V.I., Ryabyshenkov A.S. Evaluation of the efficiency of the air conditioning system of clean industrial premises with regard to thermodynamic parameters. Izv. universities. Electronics. 2018. vol. 23. No. 2. P. 133-140. DOI: 10.24151/1561-5405-2018-23-2-133-140.(in Russian)

11. Kochenkov N.V. Energy-saving modes of air conditioning systems. Part 1. Air conditioning systems with adiabatic humidification of air: tutorial. - St. Petersburg.: ITMO University; IH&BT, 2015. p. 75. (in Russian)

12. Kochenkov N.V. Manual for practical classes and laboratory work on the discipline «Air conditioning systems» Part. 1. Tutorial-method, manual. ITMO University, 2016. 55 p.(in Russian)

13. Kochenkov N.V., Kobysheva N.V., Klueva M.V. Energy-saving modes in ACS and climate characterization – interrelated problems. Engineering systems. Saint-Petersburg: AVOK S-Z, 2006. No 3. pp.48-52.(in Russian)

14. Malyavina E.G., Malikova O.Yu., Fam L.V. Probabilistic-statistical model of climate in estimation of energy consumption by air conditioning systems Springer, 2019. Cham 982. P. 69-77. DOI: org/10.1007/978-3-030-19756-8.7.

15. Samarin O.D. The probabilistic-statistical modeling of the external climate in the cooling period. Magazine of Civil Engineering. 2017. No. 5. pp. 62-69. DOI: 10.18720/MCE.73.6.

16. Chun Y.S., Zaiyi L. Is building energy simulation based on TMY representative: A comparative simulation study on doe reference buildings in Toronto with typical year and historical year type weather files. Energy and Build. 211 109760. https:// DOI: org/10.1016/j.enbuild.2020.109760.

17. Kim S, Zirkelbach D, Kunzel H M, Lee J H., Choi J. Development of test reference year using ISO 15927-4 and the influence of climatic parameters on building energy performance. Build. and Envir. 2017. Vol. 114. P. 374-386. https:// DOI: org/10.1016/j.buildenv.2016.12.037.

18. Kochenkov N.V., Krupenenkov N.F., Salman A.S., Antonova T.S. Requirements for climate information for the design of air conditioning systems. Journal of International Academy of Refrigeration.2019. No 4. pp. 15-25. (in Russian)

19. Salman A.S. Formalization of climate information for c. Baghdad. Almanac of young scientists of ITMO University. 2018. Vol. 4. pp. 98-100.(in Russian)

20. Wang R, Lu S, Li Q. Multi-criteria comprehensive study on predictive algorithm of hourly heating energy consumption for residential buildings. Sustain Cities Soc. 2019:101623.

21. Westermann P, Evins R. Surrogate modelling for sustainable building design-A review. Energy Build 2019.

22. Yu. Yu, D. Woradechjumroen D., D. Yu. A review of fault detection and diagnosis methodologies on air handling units, Energy Build. 2014. Vol. 82. P. 550-562. DOI: 10.1016/J.ENBUILD.2014.06.042.

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