Ciprian LAPUSAN, Radu BALAN, Ciprian RAD, Alin PLESA


To satisfy ever increasing needs for efficiency and environment protection the control systems for house energy management integrates more and more complex control algorithms and intelligent sensor networks. In order to develop such systems suitable building dynamics models are needed both for the control strategies and for the product testing and optimization procedures in the design phase. In this paper the development of an analytical multi-room building thermal model for use in the development process of house energy management systems is presented. The proposed model is tested by implementing in Matlab/Simulink the model of a building with 4 rooms.

Full Text:



L. Perez-Lombard, J. Ortiz, C. Pout, A review on buildings energy consumptions, Journal Energy and Buildings 40:3 (2008) 294-298.

Information on - Objectives of Europe 2020 Strategy.

Shaikh, P., Nor, N., Nallagownden, P., Elamvazuthi, I., Ibrahim, T., “A review on optimized control systems for building energy and comfort management of smart sustainable buildings”, Journal Renewable and Sustainable Energy Reviews, Vol. 31, pp. 409-429, 2014.

Balan, R., Stan, S., Lapusan, C., A model based predictive control algorithm for building temperature control, Proceedings of The 3rd IEEE International Conference on Digital Ecosystems and Technologies, 2009. DEST'09, pp. 540-545, 2009.

Lapusan,C., Balan, R., Hancu, O., Rad, C., "Rapid Control Prototyping in the Development of Home Energy Management Systems, The 6th international conference on advanced concepts in mechanical engeneering, Publised in Applied Mechanics and Material, pp. 395-400 2014.

Kramer, R., Schijndel, J., Schellen, H., Simplified thermal and hygric building models: A literature review, Frontiers of Architectural Research, Volume 1, Issue 4, December, pp. 318-3252012.

Candanedo, J, Dehkordi, V., Phylroy, L., A control-oriented simplified building modelling strategy, The 13th International Conference of the International Building Performance Simulation Association, France, 25-30 August, 2014.

Balan, R., Hancu, O., Stan, S., Lapusan, C., Donca, R., Application of a Model Based Predictive Control Algorithm for Building Temperature Control, Proceedings of the 3rd WSEAS Int. Conf. on Energy Planning, Energy Saving, Environmental Education, pp.97-101, 2009.

Lapusan, C., Maties, V., Balan, R., Hancu O., “ Modeling and simulation methods for designing mechatronic systems ”, Journal of engineering Studies and Research, Vol. 16, pp. 20-24, 2010.

Achterbosch, G., Jong, P., Krist-Spit, C., van der Meulen C, Verberne, J., “The Development of a Convenient Thermal Dynamic Building Model”, Journal Energy and Buildings, Vol 8, pp. 183-196, 1985

Normative - Thermo technical regulations regarding calculation of the Elements of Building Construction-Indicative C107-2005.

Xinhau, X., phd thesis, Model Based Building Performance. Evaluating and Diagnosis, Hong Kong Polytechnic University, 2005.

Etheridge, D, Nevrala, D, Air Infiltration in the U.K. and its Impact on the ThermalEnviroment, Brithis Gas Corporation, London, 1978.

Andersen, K., Madsen, H., Hansen, L., Modeling the heat dynamics of buildings using stochastic differential equations, Journal Energy and Buildings,Vol 31, pp. 13-24, 2000.

Balan, A., Donca, R., Lapusan, C., Draghici, M., Balan, R., Smart Metering and Control for Home Energy Efficiency, Proceedings of The 11th REHVA World Congress and the 8th International Conference on Indoor, Air Quality, Ventilation and Energy Conservation in Buildings, pp. 3115-3124, Prague, Czech Republic, 2013.


  • There are currently no refbacks.