Abstract
The paper presents the development and implementation of a model predictive control (MPC) used for inside temperature control of a building. The inside temperature is tracking a prescribed reference inside a comfort zone define by the optimization problem implementing offset free control through a Kalman filter state estimator. The MPC is validated by simulation and experiment using a building thermal model, a 24 hour ahead predicted solar irradiance and ambient temperature and measured actual weather data and inside temperature for the closed loop simulation operation.
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Koch-Ciobotaru, C. (2013). Model Predictive Control for Inside Temperature of an Energy Efficient Building. In: Balas, V., Fodor, J., Várkonyi-Kóczy, A., Dombi, J., Jain, L. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33941-7_19
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DOI: https://doi.org/10.1007/978-3-642-33941-7_19
Publisher Name: Springer, Berlin, Heidelberg
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