CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
References
authors Loveday, D.L., Virk, G.S., Cheung, J.Y.M. and Azzi, D.
year 1997
title Intelligence in buildings: the potential of advanced modelling
source Automation in Construction 6 (5-6) (1997) pp. 447-461
summary Intelligence in buildings usually implies facilities management via building automation systems (BAS). However, present-day commercial BAS adopt a rudimentary approach to data handling, control and fault detection, and there is much scope for improvement. This paper describes a model-based technique for raising the level of sophistication at which BAS currently operate. Using stochastic multivariable identification, models are derived which describe the behaviour of air temperature and relative humidity in a full-scale office zone equipped with a dedicated heating, ventilating and air-conditioning (HVAC) plant. The models are of good quality, giving prediction accuracies of 0.25C in 19.2C and of 0.6% rh in 53% rh when forecasting up to 15 minutes ahead. For forecasts up to 3 days ahead, accuracies are 0.65C and 1.25% rh, respectively. The utility of the models for facilities management is investigated. The "temperature model" was employed within a predictive on/off control strategy for the office zone, and was shown to substantially improve temperature regulation and to reduce energy consumption in comparison with conventional on/off control. Comparison of prediction accuracies for two different situations, that is, the office with and without furniture plus carpet, showed that some level of furnishing is essential during the commissioning phase if model-based control of relative humidity is contemplated. The prospects are assessed for wide-scale replication of the model-based technique, and it is shown that deterministic simulation has potential to be used as a means of initialising a model structure and hence of selecting the sensors for a BAS for any building at the design stage. It is concluded that advanced model-based methods offer significant promise for improving BAS performance, and that proving trials in full-scale everyday situations are now needed prior to commercial development and installation.
series journal paper
more http://www.elsevier.com/locate/autcon
references Content-type: text/plain
last changed 2003/05/15 19:22
pick and add to favorite papersHOMELOGIN (you are user _anon_288887 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002