Dynamic zone modelling for HVAC system control

International Journal of Modelling, Identification and Control

Volumn 9, Issue 1-2, 2010, Pages 5-14

  Li, Jiaming ^a   Poulton, Geoff ^a   Platt, Glenn ^a   Wall, Josh ^a   James, Geoff ^a  

^a CSIRO   (Australia)

Author keywords

Dynamic zone; GA; Genetic algorithm; HVAC control; Model fitting; Room modelling; Temperature prediction

Indexed keywords

ELECTRIC NETWORK ANALYSIS; ELECTRIC NETWORK PARAMETERS; ENERGY UTILIZATION; FORECASTING; GALLIUM; GENETIC ALGORITHMS; HVAC; QUALITY CONTROL;

DYNAMIC CHARACTERISTICS; HVAC CONTROL; MODEL FITTING; MODELLING TECHNIQUES; PHYSICAL PRINCIPLES; PREDICTION METHODOLOGY; REDUCE ENERGY CONSUMPTION; TEMPERATURE PREDICTION;

AIR CONDITIONING;

EID: 77950658198     PISSN: 17466172     EISSN: 17466180     Source Type: Journal    
DOI: 10.1504/IJMIC.2010.032354     Document Type: Article

References (19)

1. Dong, B., Cao, C. and Lee, S. (2005) 'Applying support vector machines to predict building energy consumption in tropical region', Journal of Energy and Buildings, Vol.37, pp.545-553.
2. Guo, Y., Li, J. and James, G. (2005) 'Evolutionary optimization of distributed energy resources', The 18th Australian Joint Conference on Artificial Intelligence (AI'05), December, Sydney, Australia, pp.1086-1091. (Pubitemid 43987269)
3. Hudson, G. and Underwood, C.P. (1999) 'A simple building modeling procedure for MATLAB/SIMULINK', Proceedings of the International Building Performance and Simulation Conference, Kyoto.
4. Karatasou, S., Santamouris, M. and Geros, V. (2006) 'Modeling and predicting building's energy use with artificial neural networks: methods and results', Journal of Energy and Buildings, Vol.38, pp.949-958. (Pubitemid 43786232)
5. Levermore, G.J. (1988) 'Simple model for an optimiser', Building Services Engineering Research & Technology, Vol.9, No.3, pp.109-116.
6. Levermore, G.J. (1992) Building Energy Management Systems, E & FN Spon, London.
7. Li, J., Poulton G. and James, G. (2007a) 'Complex behaviour among many heating, ventilation, and air-conditioning systems', 8th Asia-Pacific Complex Systems Conference (Complex'07), July, Gold Coast, Australia.
8. Li, J., Poulton, G. and James, G. (2007b) 'Agent-based distributed energy management', 20th Australian Joint Conference on Artificial Intelligence, December, Gold Coast, Queensland, Australia, pp.569-578.
9. Li, J., Poulton, G., James, G. et al, (2007c) 'Performance of multi-agent coordination of distributed energy resources', WSEAS Transactions on System and Control, January, Vol.2, No.1, pp.52-58.
10. Li, R., Li, J., Poulton, G. and James, G. (2008) 'Agent-based optimisation systems for electrical load management', 1st International Workshop on Optimisation in Multi-Agent Systems, May, Estoril, Portugal, pp.60-69.
11. Li, S.J., Cai, W.J., Zhang, X.Q. and Xu, J.X. (2006) 'Modeling of HVAC based on fuzzy RBF neural network', 1st IEEE Conference on Industrial Electronics and Applications, pp.1-5.
12. Liu, Y. (2006) 'Robust adaptive control of uncertain non-linear systems with non-linear parameterisation', International Journal of Modelling, Identification and Control, Vol.1, No.2, pp.151-156.
13. MacGill, I.F. (1998) 'Optimising decentralised power system operation using dual evolutionary programming', PhD thesis, UNSW, Australia.
14. Poulton, G., Guo, Y., James, G. et al. (2005) 'Directed self-assembly of 2-dimensional mesoblocks using top-down/bottom-up design', Lecture notes on Computer Science, May, Vol.3464, p.154, Springer-Verlag.
15. Rennard, J.P. (2000) 'Introduction to genetic algorithms', PhD thesis.
16. Tashtoush, B., Molhim, M. and Rousan, M. (2005) 'Dynamic model of an HVAC system for control analysis', Energy Journal, Vol.30, pp.1729-1745. (Pubitemid 40145506)
17. Tor, K. and Ritter, F. (2004) 'Using a genetic algorithm to optimize the fit of cognitive models', Proceedings of the International Conference on Cognitive Modeling, pp.308-313.
18. Tully, F.R. and Kaye, R.J. (1997) 'Unit commitment in competitive electricity markets using genetic algorithms', Trans. of the Institute of Electrical Engineers of Japan, Vol.117-B, No.6, pp.815-821
19. Wenzel, T.A., Burnham, K.J., Blundell, M.V., Williams, R.A. and Fairgrieve, A. (2008) 'Simplified extended Kalman filter for automotive state estimation', International Journal of Modelling, Identification and Control, Vol.3, No.3, pp.201-211.