Use of model predictive control and weather forecasts for energy efficient building climate control

TLDR: In this paper, the authors investigated how ModelPredictive control and weatherpredictions can increase the energy efficiency in Integrated Room Automation (IRA) while respecting occupant comfort.

About: This article is published in Energy and Buildings.The article was published on 2012-02-01 and is currently open access. It has received 1070 citations till now. The article focuses on the topics: Model predictive control & HVAC.

Figures

Fig. 6. Average prediction horizon length necessary for errors of less than 5% compared to PB for different HVAC systems and separated by Swiss average (left) and Passive house (right).

Fig. 7. Comparison of PB, DMPC, RBC and SMPC in terms of NRPE usag

Table 3 Sites for the weather measurements with a short description of the ambient weather and climate and their geographical heights.

Fig. 10. Room temperature profile of Case 3 in Table 6 using SMPC for year 2007.

Fig. 9. Room temperature profile of Case 3 in Table 6 using RBC for year 2007.

Fig. 1. MPC scheme for building climate control.

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This paper presents an investigation of how Model Predictive Control ( MPC ) and weather predictions can increase the energy efficiency in Integrated Room Automation ( IRA ) while respecting occupant comfort. In this paper it is reported on the development and analysis of a Stochastic Model Predictive Control ( SMPC ) strategy for building climate control that takes into account hance-constrained control the uncertainty due to the use of weather predictions. As first step the potential of MPC was assessed by means of a large-scale factorial simulation study that considered different types of buildings and HVAC systems at four representative European sites. The findings suggest that SMPC outperforms current control practice.