Intelligence in buildings: The potential of advanced modelling

Automation in Construction

Volumn 6, Issue 5-6, 1997, Pages 447-461

  Loveday, D L ^a   Virk, G S ^b   Cheung, J Y M ^a   Azzi, D ^b  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF PORTSMOUTH   (United Kingdom)

Author keywords

Building automation systems; Building simulation; Facilities management; Intelligent buildings; Stochastic modelling

Indexed keywords

AIR CONDITIONING; AUTOMATION; ENERGY MANAGEMENT; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; MULTIVARIABLE CONTROL SYSTEMS; SPACE HEATING; STOCHASTIC CONTROL SYSTEMS; VENTILATION;

BUILDING AUTOMATION SYSTEMS (BAS); FACILITIES MANAGEMENT;

INTELLIGENT BUILDINGS;

EID: 0031223654     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0926-5805(97)00023-X     Document Type: Article

References (31)

1. B. Atkin, Intelligent Buildings - Applications of IT and Building Automation to High Technology Construction Projects, Halsted Press, Wiley, New York, 1988.
2. R.J. Patton, P.M. Frank, R.N. Clark (Eds.), Fault Diagnosis in Dynamic Systems: Theory and Applications, Prentice-Hall, Englewood Cliffs, NJ, 1989.
3. R.M.C. De Keyser, Application of extended prediction self-adaptive control; in Implementation of self-tuning controllers, K. Warwick (Ed.), Peter Peregrinus, London, 1988, pp. 195-219.
4. A.L. Dexter, P. Haves, A robust self-tuning predictive controller for HVAC applications, ASHRAE Trans. 95 (2) (1989).
5. A.L. Dexter, P. Haves, Improved energy management of building system environment through self-tuning control of HVAC plant, SERC Final Report, Science and Engineering Research Council, Swindon, 1990.
6. J.M. Dion, L. Dugard, A. Franco, N.M. Tri, D. Rey, MIMO adaptive constrained predictive control case study: An environmental test chamber, Automatica 27 (4) (1991) 611-626.
7. W.J. Graham, A.L. Dexter, Practical experience of self-tuning temperature control in an office building, Proc. Int. Symp. Recent Advances in Control and Operation of Building HVAC Systems, Trondheim, 1984, pp. 124-133.
8. ∞ synthesis, Proc. IEE D137 (6) (1990) 374-380.
9. D.L. Loveday, G.S. Virk, The effectiveness of predictive control applied to warm air heating systems for commercial buildings, SERC Final Report, Contract GR/F/02014, Science and Engineering Research Council, Swindon, December 1992.
10. J.A. Clarke, Energy Simulation in Building Design, Adam Hilger, Bristol, 1985.
11. J.A. Clarke, D. McLean, ESP - A Building and Plant Energy Simulation System, Version 5, Release 3, ABACUS CAD Unit, University of Strathelyde, Glasgow, May 1986.
12. G.C. Goodwin, K.S. Sin, Adaptive Filtering Prediction and Control, Prentice-Hall, Englewood Cliffs, NJ, 1984.
13. L. Ljung, System Identification: Theory for the User, Prentice-Hall, Englewood Cliffs, NJ, 1987.
14. D.L. Loveday, G.S. Virk, J.Y.M. Cheung, Advanced control for BEMS: A model-based predictive approach, Building Services Eng. Res. and Technology 13 (4) (1992) 217-223.
15. J.P. Norton, An Introduction to Identification, Academic Press, London, 1986.
16. G.S. Virk, D.L. Loveday, J.Y.M. Cheung, Practical stochastic multivariable identification for buildings, Journal of Appl. Math. Modelling 19 (10) (1995) 621-636.
17. G.S. Virk, D.L. Loveday, J.Y.M. Cheung, Occupancy and refurbishment effects on digital modelling for buildings, Proc. I.Mech.E. 208, Part I: Journal of Systems and Control Engineering, 1994, pp. 169-175.
18. D.L. Loveday, G.S. Virk, J.Y.M. Cheung, Multivariate stochastic modelling of a full-scale office zone and air-conditioning plant. The potential for BEMS, Building Services Eng. Res. and Technology 16 (1) (1995) 17-23.
19. G.S. Virk, D.L. Loveday, J.Y.M. Cheung, Model-based control for BEMS, Proc. IEE Int. Conf. "Control '94", Warwick University, UK, 1994, pp. 901-905.
20. G.S. Virk, D.L. Loveday, J.Y.M. Cheung, The development of adaptive control techniques for BEMS, Proc. IEE Int. Conf. "Control '91", Heriot-Watt University, UK, 1991, pp. 329-334.
21. D.P. Bloomfield, BRE-ADMIT: Thermal Design of Buildings. Prediction of Building Temperatures and Heating/Cooling Loads Using the Admittance Method (IBM-PC Version), Building Research Establishment Publishing, Garston, Watford, 1985.
22. N.O. Milbank, J. Harrington-Lynn, Thermal response and the admittance procedure, Building Services Engineer 42 (1974) 38-54.
23. K.J. Lomas, An investigation into analytical and empirical validation techniques for dynamic thermal models of buildings, SERC Report, Contract GR/C/62871 IV, Science and Engineering Research Council, Swindon, 1988.
24. K.J. Lomas, H. Eppel, Sensitivity analysis techniques for building thermal simulation programs, Energy and Buildings 19 (1992) 21-44.
25. G.S. Virk, J.Y.M. Cheung, D.L. Loveday, Modelling for building environmental control, Proc. 3rd Int. Conf. "System Simulation in Buildings", Liege University, Belgium, 1990, pp. 607-622.
26. G.S. Virk, J.Y.M. Cheung, D.L. Loveday, Advanced controllers for the built environment, Proc. Canadian Conf. on Industrial Automation II, Int. Assoc. for Ind. Automation, Montreal, Canada, 1992, pp. 34.17-34.21.
27. G.S. Virk, D.L. Loveday, A comparison of predictive, PID and on/off techniques for energy management and control, ASHRAE Trans. 97 (2) (1991) 3-10.
28. G.S. Virk, J.Y.M. Cheung, D.L. Loveday, The role of control technology for energy savings in buildings, IEE Colloquium on Advanced SCADA and Energy Management Systems, Digest No. 1990/173, 1990, pp. 3/1-3/7.
29. G.S. Virk, J.M. Tahir, A fault tolerant optimal flight control system, Proc. IEE Int. Conf. "Control '91", vol. 2, 1991, pp. 1049-1055.
30. S.J. Hepworth, A.L. Dexter, S.T.P. Willis, Neural network control of a non-linear heater battery, Building Services Eng. Res. and Technology 15 (3) (1994) 119-129.
31. A.L. Dexter, D.W. Trewhella, Building control systems: Fuzzy rule-based control and performance assessment, Building Services Eng. Res. and Technology 11 (4) (1990) 115-124.