4.7 Article

PMV-based event-triggered mechanism for building energy management under uncertainties

Journal

ENERGY AND BUILDINGS
Volume 152, Issue -, Pages 73-85

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2017.07.008

Keywords

Building energy management; Event-triggered mechanism; Operational optimization; Predicted mean vote(PMV) index; Uncertainties in building operation

Funding

  1. Republic of Singapore's National Research Foundation

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This paper provides a study of the optimal scheduling of building operation to minimize its energy cost under building operation uncertainties. Opposed to the usual way that describes thermal comfort using a static range of air temperature, the optimization of a tradeoff between energy cost and thermal comfort predicted mean vote (PMV) index is addressed in this paper. In order to integrate the calculation of the PMV index with the optimization procedure, we develop a sufficiently accurate approximation of the original PMV model which is computationally efficient. We develop a model-based periodic event-triggered mechanism (ETM) to handle the uncertainties in the building operation. Upon the triggering of predefined events, the ETM determines whether the optimal strategy should be recalculated. In this way, the communication and computational resources required can be significantly reduced. Numerical results show that the ETM method is robust with respect to the uncertainties in prediction errors and results in a reduction of more than 60% in computation without perceivable degradation in system performance as compared to a typical closed-loop model predictive control. (C) 2017 Elsevier B.V. All rights reserved.

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