Experimental Verification of Analytical Modeling of Indoor Air Temperature when Automating Climate Systems

Number of journal: No.1-2-2022
Autors:

Samarin O.D.

DOI: https://doi.org/10.31659/0044-4472-2022-1-2-17-20
УДК: 697.1:699.86

 

AbstractAbout AuthorsReferences
The relevance of the study is related to the need to ensure the required comfort of internal meteorological parameters in the working area of the premises and the safety of human life in various modes of operation of technological equip-ment and with the appearance of new heat and mass transfer devices of air con-ditioning systems, which have different dynamic characteristics and use more complex control algorithms compared to those used earlier. The subject of the study is methods for calculating changes in the temperature of indoor air in rooms serviced by automated climate systems. The goal of the study is to exper-imentally confirm the main analytical dependencies for a given temperature, found earlier by solving differential equations describing the non-stationary thermal regime of a room. The objective of the study is to carry out full-scale measurements of room temperature for abrupt changes in heat gain when the air conditioning system is turned on and off and compare the results with theoreti-cal curves. During the measurements, the thermometer was placed in the center of the room at a height of 1 m from the floor. The results were compared with analytical solutions of the asymptotic type and obtained by decomposing the desired function into a Taylor series. Experimental data obtained during the initial cooling of a room in a civil building under conditions of a jump-like increase in heat loss and with automatic regulation of the central air conditioning system compensating for jump-like heat gain are presented. It is shown that, taking into account the measurement error, their results are consistent with the theoretical relations for the same conditions with sufficient accuracy and thereby further confirm their fairness and validity.
O.D. SAMARIN, Candidate of Sciences (Engineering) (This email address is being protected from spambots. You need JavaScript enabled to view it.)

National Research Moscow State University of Civil Engineering (26, Yaroslavskoe Highway, Moscow, 129337, Russian Federation)

1. Rafalskaya T.A. Reliability and controllability of systems of centralized heat supply. Eastern European Scientific Journal. 2016. No. 2, pp. 228–235.
2. Malyavina E.G. Calculation of the rate of cooling of a room after turning off the heat supply. Promyshlennoe i grazhdanskoe stroitel’stvo. 2015. No. 2, pp. 55–58. (In Russian).
3. Doroshenko A.V. Simulation thermodynamic model of the building. BST: Byulleten’ stroitel’noi tekhniki. 2017. No. 12, pp. 42–43. (In Russian).
4. Serale G., Capozzoli A., Fiorentini M., Bernardini D., Bemporad A. Model predictive control (MPC) for enhancing building and HVAC system energy efficiency: problem formulation, applications and opportunities. Energies. 2018. Vol. 11. No. 3, pp. 631.
5. Latif M., Nasir A. Decentralized stochastic control for building energy and comfort management. Journal of Building Engineering. 2019. Vol. 24, 100739.
6. Tarasova (Andreeva) D.S., Petritchenko M.R. Building quasi-stationary thermal behavior. Magazine of Civil Engineering. 2017. No. 4 (72), pp. 28–35.
7. Li N., Chen Q. Experimental study on heat transfer characteristics of interior walls under partial-space heating mode in hot summer and cold winter zone in China. Applied Thermal Engineering. 2019. Vol. 162, 114264.
8. Faouzi D., Bibi-Triki N., Draoui B., Abène A. Modeling a fuzzy logic controller to simulate and optimize the greenhouse microclimate management using Mathlab Simulink. International Journal of Mathematical Sciences and Computing. 2017. Vol. 3. No. 3, pp. 12–27.
9. Samarin O.D. The calculation of the thermal mode of a room using the integral controllers for climate control systems. Izvestiya vuzov. Stroitel’stvo. 2020. No. 2, pp. 28–35. (In Russian).
10. Samarin O.D. Experimental confirmation of theoretical dependences for indoor air temperature under automatic control of climate systems. Izvestiya vuzov. Stroitel’stvo. 2021. No. 1, pp. 37–42. (In Russian).

For citation: Samarin O.D. Experimental verification of analytical modeling of indoor air temperature when automating climate systems. Zhilishchnoe Stroitel’stvo [Housing Construction]. 2022. No. 1–2, pp. 17–20. (In Russian). DOI: https://doi.org/10.31659/0044-4472-2022-1-2-17-20


Print   Email