Optimization of Predicted Mean Vote index within Model Predictive Control framework: Computationally tractable solution

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00194248" target="_blank" >RIV/68407700:21230/12:00194248 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.enbuild.2012.05.022" target="_blank" >http://dx.doi.org/10.1016/j.enbuild.2012.05.022</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.enbuild.2012.05.022" target="_blank" >10.1016/j.enbuild.2012.05.022</a>

Result language
angličtina
Original language name
Optimization of Predicted Mean Vote index within Model Predictive Control framework: Computationally tractable solution
Original language description
Recently, there has been an intensive research in the area of Model Predictive Control (MPC) for buildings. The key principle of MPC is a trade-off between energy savings and user welfare making use of predictions of disturbances acting on the system (ambient temperature, solar radiation, occupancy, etc.). Usually, according to international standards, the thermal comfort is represented by a static range for the operative temperature. By contrast, this paper is devoted to the optimization of the Predicted Mean Vote (PMV) index which, opposed to the static temperature range, describes user comfort directly. PMV index is, however, a nonlinear function of various quantities, which limits the applicability and scalability of the control problem formulation. At first, PMV-based formulation is stated, the main differences between typical MPC problem formulation and PMV based formulation are outlined, a computationally tractable approximation of the nonlinear optimal control problem is presen
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Project
<a href="/en/project/GAP103%2F12%2F1187" target="_blank" >GAP103/12/1187: Identification of Stochastic, Nonlinear Systems for Advanced Control</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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