Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13915
Title: Model-based optimal start control strategy for multi-chiller plants in commercial buildings
Authors: Sun, Y
Wang, S 
Huang, G
Issue Date: 2010
Publisher: SAGE Publications
Source: Building services engineering research and technology, 2010, v. 31, no. 2, p. 113-129 How to cite?
Journal: Building services engineering research and technology 
Abstract: Chiller start control is to schedule chillers start-up operation, including how many chillers to be put into operation and when to start these chillers, for cooling down building internal temperature to a desired level before occupying. Chiller optimal start aims to find the most efficient way to schedule the chiller start operation for energy savings. Previous studies on chiller optimal start mainly focus on determining the pre-cooling lead time based only on initial outdoor and indoor temperatures without considering the impact of the recovery ability, i.e. the ability of the chillers to return the indoor air temperature to its set-point value. Different from previous studies, a new optimal start strategy is proposed in this article, which considers both the recovery ability and the cooling load condition as the optimizing variables. The new strategy is model-based and realized in two steps. The first step is to predict the building cooling load using a simplified building model, and identify a feasible set for the operating chiller number. The second step is to estimate the pre-cooling lead time using the simplified building model for each number inside the feasible range identified in the first step, and calculate the corresponding energy consumption. The number and its corresponding pre-cooling lead time which yields the least energy consumption constitute the optimal start operation. Practical application: The proposed strategy, validated through case studies, can be used in practical applications to select the optimal number of operating chillers and determine the associated pre-cooling lead time in order to achieve minimum energy consumption in the pre-cooling period.
URI: http://hdl.handle.net/10397/13915
ISSN: 0143-6244
EISSN: 1477-0849
DOI: 10.1177/0143624409359979
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