Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27921
Title: Real-time predictive supervisory operation of building thermal systems with thermal mass
Authors: Chen, TY
Issue Date: 2001
Publisher: Elsevier
Source: Energy and buildings, 2001, v. 33, no. 2, p. 141-150 How to cite?
Journal: Energy and buildings 
Abstract: The real-time predictive dynamic operation of building thermal systems is explored in this paper. A systematic methodology is described for predictive supervisory operation. The focus of this study is on the development of an operation supervisor that can determine optimal operation strategies for building thermal processes, and its application to a floor heating system in a passive solar room with thermal mass. An optimal model associated with a number of practical operation constraints is formulated, and an approach that combines dynamic programming and on-line simulation is developed, to efficiently solve the problem in real-time. Simulations for the minimization of energy consumption and operating cost, with different operation schedules under various weather conditions, are performed. Results show that the techniques are computationally efficient and that the predictive supervisory operation of floor heating systems may lead to significant savings in energy consumption and operating cost.
URI: http://hdl.handle.net/10397/27921
ISSN: 0378-7788
EISSN: 1872-6178
DOI: 10.1016/S0378-7788(00)00078-5
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