Model Predictive Control for Inside Temperature of an Energy Efficient Building

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 195)


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.


Model predictive control energy efficient building Kalman filter offset free control quadratic program 


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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Automation and Applied Informatics“Politehnica”University of TimisoaraTimisoaraRomania

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