Improving the model of a system that maintains a microclimate regime in a single-family house by using a reversible heat pump

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.342027

Keywords:

heat pump, energy saving, building's thermal state, thermal inertia, energy storage device

Abstract

This study mathematically models energy processes within the microclimate control system in a single-family house equipped with a reversible heat pump.

This paper reports an improved model of the microclimate system considering the dynamics to construct plots of electricity consumption under various operating conditions. Data from the calculated thermal parameters of the building were applied. A model of the reversible heat pump has been proposed, based on manufacturer specifications, allowing for the assessment of electricity consumption across the full range of power and temperature variations.

The microclimate system model of the building with a heat pump has been improved by accounting for the building’s thermal inertia. This makes it possible to evaluate temperature regimes and energy consumption under dynamic modes, bringing the simulated electricity usage closer to real-world values.

Hourly profiles of solar radiation and outdoor temperature for the building’s location, along with expected schedules of internal heat gains, were used. Energy consumption and instantaneous power values, including peak loads, were assessed. It is shown that, for a building in Kyiv with a floor area of 120 m2, under a heating mode, minimum electricity consumption occurs at a minimum heat carrier temperature of 35°C at a COP of 3.44.

The selected heat pump may operate under a monovalent mode down to –13°C. The potential for reducing energy consumption by adjusting the temperature regime is limited because of a significant increase in power demand from the heat pump under a dynamic mode.

Under a cooling mode, hourly air temperature profiles from historical data were used, along with representative values, to evaluate the range of energy consumption variation. An example involving changes in window area demonstrates the model’s applicability for adjusting building parameters to reduce energy consumption

Author Biographies

Oleksandr Shavolkin, Kyiv National University of Technologies and Design

Doctor of Technical Sciences, Professor

Department of Computer Engineering and Electromechanics

Iryna Shvedchykova, Kyiv National University of Technologies and Design

Doctor of Technical Sciences, Professor

Department of Computer Engineering and Electromechanics

Oleksandr Demianchuk, Kyiv National University of Technologies and Design

PhD Student

Department of Computer Engineering and Electromechanics

Oleg Shcherbakov, Kyiv National University of Technologies and Design

PhD Student

Department of Computer Engineering and Electromechanics

References

  1. Vanhoudt, D., Geysen, D., Claessens, B., Leemans, F., Jespers, L., Van Bael, J. (2014). An actively controlled residential heat pump: Potential on peak shaving and maximization of self-consumption of renewable energy. Renewable Energy, 63, 531–543. https://doi.org/10.1016/j.renene.2013.10.021
  2. Chaikovskaya, E. (2020). Development of Smart Grid technology for maintaining the functioning of a biogas cogeneration system. Eastern-European Journal of Enterprise Technologies, 3 (8 (105)), 56–68. https://doi.org/10.15587/1729-4061.2020.205123
  3. Niekurzak, M., Lewicki, W., Drożdż, W., Miązek, P. (2022). Measures for Assessing the Effectiveness of Investments for Electricity and Heat Generation from the Hybrid Cooperation of a Photovoltaic Installation with a Heat Pump on the Example of a Household. Energies, 15 (16), 6089. https://doi.org/10.3390/en15166089
  4. Zajacs, A., Lebedeva, K., Bogdanovičs, R. (2023). Evaluation of Heat Pump Operation in a Single-Family House. Latvian Journal of Physics and Technical Sciences, 60 (3), 85–98. https://doi.org/10.2478/lpts-2023-0019
  5. Wilbur, B., Fung, A. S., Kumar, R. (2024). Thermal System and Net-Zero-Carbon Least-Cost Design Optimization of New Detached Houses in Canada. Buildings, 14 (9), 2870. https://doi.org/10.3390/buildings14092870
  6. Installation instructions AERO ILM. Available at: https://www.c-o-k.ru/library/instructions/idm/teplovye-nasosy/29558/108525.pdf
  7. Zhou, K., Zhu, S., Wang, Y., Roskilly, A. P. (2024). Modelling and Experimental Characterisation of a Water-to-Air Thermoelectric Heat Pump with Thermal Energy Storage. Energies, 17 (2), 414. https://doi.org/10.3390/en17020414
  8. Kahsay, M. B., Völler, S. (2025). Thermal energy storage for increasing self-consumption of grid connected photovoltaic systems: A case for Skjetlein High School, Norway. Energy and Buildings, 335, 115563. https://doi.org/10.1016/j.enbuild.2025.115563
  9. Pater, S. (2023). Increasing Energy Self-Consumption in Residential Photovoltaic Systems with Heat Pumps in Poland. Energies, 16 (10), 4003. https://doi.org/10.3390/en16104003
  10. Nibe F2120 8 Manuals. Available at: https://www.manualslib.com/products/Nibe-F2120-8-6902998.html
  11. Mendaza, I. D. de C., Bak-Jensen, B., Chen, Z. (2013). Electric Boiler and Heat Pump Thermo-Electrical Models for Demand Side Management Analysis in Low Voltage Grids. International Journal of Smart Grid and Clean Energy, 2 (1), 52–59. https://doi.org/10.12720/sgce.2.1.52-59
  12. Shavolkin, O., Shvedchykova, I., Kolcun, M., Medved, D., Mazur, D., Kwiatkowski, B. (2024). Increasing photovoltaic self-consumption for objects using domestic hot water systems. Archives of Electrical Engineering, 73 (3), 573–573. https://doi.org/10.24425/aee.2024.150884
  13. Dejvises, J., Tanthanuch, N. (2016). A Simplified Air-conditioning Systems Model with Energy Management. Procedia Computer Science, 86, 361–364. https://doi.org/10.1016/j.procs.2016.05.099
  14. Kim, N.-K., Shim, M.-H., Won, D. (2018). Building Energy Management Strategy Using an HVAC System and Energy Storage System. Energies, 11 (10), 2690. https://doi.org/10.3390/en11102690
  15. House Heating System. MathWorks. Available at: https://www.mathworks.com/help/hydro/ug/house-heating-system.html
  16. Reversible Heat Pump. MathWorks. Available at: https://www.mathworks.com/help/hydro/ug/ReversibleHeatPumpExample.html
  17. Moctezuma-Sánchez, M., Espinoza Gómez, D., López-Sosa, L. B., Golpour, I., Morales-Máximo, M., González-Carabes, R. (2024). A Thermal Model for Rural Housing in Mexico: Towards the Construction of an Internal Temperature Assessment System Using Aerial Thermography. Buildings, 14 (10), 3075. https://doi.org/10.3390/buildings14103075
  18. Behravan, A., Obermaisser, R., Nasari, A. (2017). Thermal dynamic modeling and simulation of a heating system for a multi-zone office building equipped with demand controlled ventilation using MATLAB/Simulink. 2017 International Conference on Circuits, System and Simulation (ICCSS), 103–108. https://doi.org/10.1109/cirsyssim.2017.8023191
  19. Boodi, A., Beddiar, K., Amirat, Y., Benbouzid, M. (2020). Simplified Building Thermal Model Development and Parameters Evaluation Using a Stochastic Approach. Energies, 13 (11), 2899. https://doi.org/10.3390/en13112899
  20. Yuan, W., Guo, Y., Zhang, Y. (2024). Performance Research on Heating Performance of Battery Thermal Management Coupled with the Vapor Injection Heat Pump Air Conditioning. World Electric Vehicle Journal, 15 (1), 33. https://doi.org/10.3390/wevj15010033
  21. He, J., Yu, L., Chen, Z., Qiu, D., Yue, D., Strbac, G. et al. (2025). HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management. arXiv. https://doi.org/10.48550/arXiv.2506.00898
  22. Klepic, V., Wolf, M., Pröll, T. (2025). Streamlined Model Predictive Control for a Triple-Optimization of Thermal Comfort, Heating Costs, and Photovoltaic Self-Consumption. IEEE Access, 13, 115419–115432. https://doi.org/10.1109/access.2025.3584388
  23. Photovoltaic geographical information system. Available at: https://re.jrc.ec.europa.eu/pvg_tools/en/
Improving the model of a system that maintain a microclimate regime in a single-family house by using a reversible heat pump

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Published

2025-10-30

How to Cite

Shavolkin, O., Shvedchykova, I., Demianchuk, O., & Shcherbakov, O. (2025). Improving the model of a system that maintains a microclimate regime in a single-family house by using a reversible heat pump. Eastern-European Journal of Enterprise Technologies, 5(8 (137), 38–47. https://doi.org/10.15587/1729-4061.2025.342027

Issue

Vol. 5 No. 8 (137) (2025): Energy-saving technologies and equipment

Section

Energy-saving technologies and equipment

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Copyright (c) 2025 Oleksandr Shavolkin, Iryna Shvedchykova, Oleksandr Demianchuk, Oleg Shcherbakov

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