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Cited by 435

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Energy efficient building climate control using Stochastic Model Predictive Control and weather predictions

Open access
Oldewurtel, F, Parisio, A, Jones, C N, Morari, M, Gyalistras, D, Gwerder, M, Stauch, V, Lehmann, B, Wirth, K·2010·Proceedings of the 2010 American Control Conference

Abstract

One of the most critical challenges facing society today is climate change and thus the need to realize massive energy savings. Since buildings account for about 40% of global final energy use, energy efficient building climate control can have an important contribution. In this paper we develop and analyze a Stochastic Model Predictive Control (SMPC) strategy for building climate control that takes into account weather predictions to increase energy efficiency while respecting constraints resulting from desired occupant comfort. We investigate a bilinear model under stochastic uncertainty with probabilistic, time varying constraints. We report on the assessment of this control strategy in a large-scale simulation study where the control performance with different building variants and under different weather conditions is studied. For selected cases the SMPC approach is analyzed in detail and shown to significantly outperform current control practice.

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Metadata

Authors
Oldewurtel, F., Parisio, A., Jones, C. N., Morari, M., Gyalistras, D., Gwerder, M., Stauch, V, Lehmann, B., & Wirth, K.
Venue
Proceedings of the 2010 American Control Conference
Publisher
IEEE
Published
2010-06
Pages
5100-5105
ISSN
0743-1619 (ISSN-L)
OpenAlex
W2029264889
Cited by
435
References
0
FWCI
126.23
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Energy efficient building climate control using Stochastic Model Predictive Control and weather predictions. https://app.cochat.ai/papers/10.1109/acc.2010.5530680
The paper
Oldewurtel, F., Parisio, A., Jones, C. N., Morari, M., Gyalistras, D., Gwerder, M., Stauch, V, Lehmann, B., & Wirth, K. (2010). Energy efficient building climate control using Stochastic Model Predictive Control and weather predictions. Proceedings of the 2010 American Control Conference. https://doi.org/10.1109/acc.2010.5530680

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