Calculation of the characteristics of the thermal regime of the room with proportional-integral regulation of climate systems
https://doi.org/10.22227/2305-5502.2024.3.89-99
Abstract
Introduction. Further development of methods for calculating the thermal regime of premises under different algorithms of regulating the equipment of microclimate systems is still relevant. The aim of the research is to find an approximate analytical dependence of air temperature on time in air-conditioned rooms with a jump-like thermal effect and combined proportional-integral regulation of central climate systems in the absence of local heating and cooling units. As a scientific hypothesis, the position is put forward on the possibility of expressing this dependence through formulas for integral regulation already obtained by the author using correction coefficients.
Materials and methods. The basic differential equation for the dimensionless excess temperature in the room, including the most significant components of the heat flux, is used, while taking into account the peculiarities of the temperature wave propagation in massive enclosures in the initial period of time. Linearization and small parameter methods are used for asymptotic analytical solutions, as well as well as Runge – Kutta method for finding a numerical solution.
Results. Expressions for the maximum deviation of the air temperature from the setpoint and for the time it is reached, depending on the magnitude of the heat surpluses and the characteristics of the room’s own thermal stability, as well as well as on the control parameters, including asymptotic ones at small moments of time from the beginning of the thermal disturbance and a small share of the proportional component of the controller, are obtained. A comparison of the results of numerical integration of the basic differential equation with the indicated asymptotic solutions is presented.
Conclusions. It is shown that the asymptotic expressions for the dynamic control error and the time of its achievement are obtained from formulas previously found by the author for purely integral control by introducing correction factors containing a dimensionless parameter characterising the ratio of the proportional and integral components of the controller. These correlations are confirmed by comparing different variants of analytical solutions, have a fairly universal appearance, require a minimum number of source data and are available for engineering practice.
About the Author
O. D. SamarinRussian Federation
Oleg D. Samarin — Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Heat and Gas Supply and Ventilation
26 Yaroslavskoe shosse, Moscow, 129337
Scopus: 6603231128
References
1. Serale G., Fiorentini M., Capozzoli A., Bernardini D., Bemporad A. Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities. Energies. 2018; 11(3):631. DOI: 10.3390/en11030631
2. Ryzhov A., Ouerdane H., Gryazina E., Bischi A., Turitsyn K. Model predictive control of indoor microclimate: existing building stock comfort improvement. Energy Conversion and Management. 2019; 179:219-228. DOI: 10.1016/j.enconman.2018.10.046
3. Rulik S., Wróblewski W., Majkut M., Strozik M., Rusin K. Experimental and numerical analysis of heat transfer within cavity working under highly non-stationary flow conditions. Energy. 2020; 190:116303. DOI: 10.1016/j.energy.2019.116303
4. Belussi L., Barozzi B., Bellazzi A., Danza L., Devitofrancesco A., Fanciulli C. et al. A review of performance of zero energy buildings and energy efficiency solutions. Journal of Building Engineering. 2019; 25:100772. DOI: 10.1016/j.jobe.2019.100772
5. Sha H., Xu P., Yang Z., Chen Y., Tang J. Overview of computational intelligence for building energy system design. Renewable and Sustainable Energy Reviews. 2019; 108:76-90. DOI: 10.1016/j.rser.2019.03.018
6. Mansurov R., Rafalskaya T., Efimov D. Mathematical modeling of thermal technical characteristics of external protections with air layers. E3S Web of Conferences. 2019; 97:06007. DOI: 10.1051/e3sconf/20199706007
7. Rafalskaya T. Safety of engineering systems of buildings with limited heat supply. IOP Conference Series: Materials Science and Engineering. 2021; 1030(1):012049. DOI: 10.1088/1757-899X/1030/1/012049
8. Rafalskaya T.A. Simulation of thermal characteristics of heat supply systems in variable operating modes. Journal of Physics: Conference Series. 2019; 1382(1):012140. DOI: 10.1088/1742-6596/1382/1/012140
9. Millers R., Korjakins A., Lešinskis A., Borodinecs A. Cooling panel with integrated PCM layer : а verified simulation study. Energies. 2020; 13(21):5715. DOI: 10.3390/en13215715
10. Stetjukha V. Energy efficiency of underground structures in harsh climatic conditions. Magazine of Civil Engineering. 2023; 1(117):11710. DOI: 10.34910/MCE.117.10. EDN TTZNWL.
11. Belous A., Kotov G., Belous O., Garanzha I. Calculation of heat resistance of external enclosing structures with heat-conducting inclusions. Magazine of Civil Engineering. 2022; 5(113):11313. DOI: 10.34910/MCE.113.13. EDN NCHURU.
12. Musorina T., Gamayunova O., Petrichenko M., Soloveva E. Boundary layer of the wall temperature field. Advances in Intelligent Systems and Computing. 2020; 429-437. DOI: 10.1007/978-3-030-37919-3_42
13. Gamayunova O., Petrichenko M., Mottaeva A. Thermotechnical calculation of enclosing structures of a standard type residential building. Journal of Physics: Conference Series. 2020; 1614(1):012066. DOI: 10.1088/1742-6596/1614/1/012066
14. Bilous I.Yu., Deshko V.I., Sukhodub I.O. Building energy modeling using hourly infiltration rate. Magazine of Civil Engineering. 2020; 4(96):27-41. DOI: 10.18720/MCE.96.3. EDN MFVSMT.
15. Petrov P.V., Vedruchenko V.R., Rezanov E.V., Kadtsin I.I., Kulagin V.A. Experimental study of the effective insulation of building envelopes. Journal of Siberian Federal University. Engineering and Technologies. 2022; 15(3):356-367. DOI: 10.17516/1999-494X-0403. EDN BWSTSI.
16. Avsyukevich D., Shishkin E., Litvinova N., Mirgorodskiy A. Thermoeconomic model of a building’s thermal protection envelope and heating system. Magazine of Civil Engineering. 2022; 5(113):11302. DOI: 10.34910/MCE.113.2. EDN TAVHNO.
17. Samarin O. Temperature mode of a room at integrated regulation of split systems. Magazine of Civil Engineering. 2023; 7(123):12310. DOI: 10.34910/MCE.123.10. EDN SBWALE.
18. Samarin O.D. Calculation of the indoor thermal mode with the use of integral controllers for climate control systems. News of Higher Educational Institutions. Construction. 2020; 2(734):28-35. DOI: 10.32683/0536-1052-2020-734-2-28-35. EDN SSRGOX. (rus.).
19. Samarin O.D. Calculation of indoor air temperature using dimensionless parameters for integrated climate control systems. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2021; 16(4):486-492. DOI: 10.22227/1997-0935.2021.4.486-492. (rus.).
20. Samarin O.D., Klochko A.K. Numerical and approximated methods in the problems of building thermal physics and climatology. Moscow, MGSU-MISI Publ., 2021; 96. EDN VAPFTA. (rus.).
Review
For citations:
Samarin O.D. Calculation of the characteristics of the thermal regime of the room with proportional-integral regulation of climate systems. Construction: Science and Education. 2024;14(3):89-99. (In Russ.) https://doi.org/10.22227/2305-5502.2024.3.89-99