BLACK BOX MODELLING THE THERMAL BEHAVIOUR OF IHOUSE USING AUTO REGRESSIVE AND MOVING AVERAGE (ARMA) MODEL

Authors

  • Shamsul Faisal Mohd Hussein Biologically Inspired System and Technology (Bio-iST) iKohza, Malaysia – Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM) Kuala Lumpur, Jalan Sultan Yahya Petra (Jalan Semarak), 54100 Kuala Lumpur, Malaysia
  • Hoaison Nguyen Department of Networks and Computer Communications, Faculty of Information Technology, VNU University of Engineering and Technology, Building E3, 144 Xuan Thuy, Cau Giay, Hanoi, Vietnam
  • Shahrum Shah Abdullah Biologically Inspired System and Technology (Bio-iST) iKohza, Malaysia – Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM) Kuala Lumpur, Jalan Sultan Yahya Petra (Jalan Semarak), 54100 Kuala Lumpur, Malaysia
  • Yuto Lim School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), 1-1 Asahidai, Nomi, Ishikawa Prefecture 923-1211, Japan
  • Yasuo Tan School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), 1-1 Asahidai, Nomi, Ishikawa Prefecture 923-1211, Japan

DOI:

https://doi.org/10.11113/jt.v78.9272

Keywords:

Modelling and simulation, black box modelling, building temperature simulation, building temperature prediction

Abstract

Modelling and simulation of the dynamic thermal behaviour of a building is important to test any proposed thermal comfort control system and strategy in the building. A simulation model can be obtained by using either the white box, grey box or black box modelling method. This research focuses on the usage of auto regressive and moving average (ARMA) model, a type of black box model that represents the dynamic thermal behaviour of iHouse testbed and uses real recorded data from the testbed and limited knowledge regarding the physical characteristics of the testbed. The performance of the ARMA model developed in this research is compared with the performance of House Thermal Simulator, a previously developed model, based on grey box modelling. Results obtained shows that ARMA model works better than House Thermal Simulator in some aspects.  

References

R. Kramer, J. van Schijndel, H. Schellen. 2012. Simplified thermal and hygric building models: A literature review. Front. Archit. Res. 1 . 318–325.

D.E. Seborg, D.A. Mellichamp, T.F. Edgar, F.J. Doyle. 2010. Process Dynamics and Control. John Wiley & Sons Incorporated.

N.S. Nise. 2010. Control Systems Engineering. 6th Ed. John Wiley & Sons Incorporated.

H. Nguyen, Y. Makino, A.A. Lim, Y. Tan, Y. Shinoda. 2013. Building HighAccuracy Thermal Simulation for Evaluation of Thermal Comfort in Real Houses. Incl. Soc. Heal. Wellbeing CommunityCare Home SE 20.159–166.

Hazyuk, C. Ghiaus, D. Penhouet. 2012. Optimal Temperature Control of Intermittently Heated Buildings Using Model Predictive Control: Part I – Building modeling. Build Environ. 51: 379–387.

G. Mustafaraj, G. Lowry, J. Chen. 2011. Prediction of Room Temperature and Relative Humidity by Autoregressive Linear and Nonlinear Neural Network Models for an Open Office. Energy Build. 43: 1452–1460.

G. Mustafaraj, J. Chen, G. Lowry. 2010. Thermal Behaviour Prediction Utilizing Artificial Neural Networks for an Open Office. Appl. Math. Model. 34: 3216–3230.

H.U. Frausto, J.G. Pieters, J.M. Deltour. 2003. Modelling Greenhouse Temperature by means of Auto Regressive Models. Biosyst. Eng. 84: 147–157.

H. Uchida Frausto, J.G. Pieters. 2004. Modelling Greenhouse Temperature Using System Identification by Means of Neural Networks. Neurocomputing. 56: 423–428.

S.L. Patil, H.J. Tantau, V.M. Salokhe. 2008. Modelling of Tropical Greenhouse Temperature by Auto Regressive and Neural Network Models. Biosyst. Eng. 99: 423–431.

Rabl. 1988. Parameter Estimation in Buildings: Methods for Dynamic Analysis of Measured Energy Use. J. Sol. Energy Eng. Trans. ASME. 110: 52–66.

Downloads

Published

2016-06-28

Issue

Vol. 78 No. 6-13: Advances on Intelligent Control and Robotic

Section

Science and Engineering

License

Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.

How to Cite

BLACK BOX MODELLING THE THERMAL BEHAVIOUR OF IHOUSE USING AUTO REGRESSIVE AND MOVING AVERAGE (ARMA) MODEL. (2016). Jurnal Teknologi (Sciences & Engineering), 78(6-13). https://doi.org/10.11113/jt.v78.9272