Optimization of Predicted Mean Vote Thermal Comfort Index within Model Predictive Control Framework

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00198811" target="_blank" >RIV/68407700:21230/12:00198811 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/CDC.2012.6427051" target="_blank" >http://dx.doi.org/10.1109/CDC.2012.6427051</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CDC.2012.6427051" target="_blank" >10.1109/CDC.2012.6427051</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimization of Predicted Mean Vote Thermal Comfort Index within Model Predictive Control Framework

Popis výsledku v původním jazyce

Recently, Model Predictive Control (MPC) for buildings has undergone an intensive research. Usually, according to the international standards, a static range for the air temperature represents the thermal comfort which is being kept making use of MPC while minimizing the energy consumption. On contrary, this paper deals with the optimization of the trade-off between energy consumption and Predicted Mean Vote (PMV) index which, opposed to the static temperature range, describes user comfort directly. PMV index is a nonlinear function of various quantities, which makes the problem more difficult to solve. The paper will show the main differences in MPC problem formulation, propose a tractable approximation strategy and compare the control performance both to the conventional and typical predictive control strategies. The approximation of PMV computation will be shown to be sufficiently precise and moreover, such a formulation keeps the MPC optimization problem convex. Finally, it will be shown that the proposed PMV based optimal control problem formulation shifts the savings potential of typical MPC by additional 10% while keeping the comfort at a desired level.

Název v anglickém jazyce

Optimization of Predicted Mean Vote Thermal Comfort Index within Model Predictive Control Framework

Popis výsledku anglicky

Recently, Model Predictive Control (MPC) for buildings has undergone an intensive research. Usually, according to the international standards, a static range for the air temperature represents the thermal comfort which is being kept making use of MPC while minimizing the energy consumption. On contrary, this paper deals with the optimization of the trade-off between energy consumption and Predicted Mean Vote (PMV) index which, opposed to the static temperature range, describes user comfort directly. PMV index is a nonlinear function of various quantities, which makes the problem more difficult to solve. The paper will show the main differences in MPC problem formulation, propose a tractable approximation strategy and compare the control performance both to the conventional and typical predictive control strategies. The approximation of PMV computation will be shown to be sufficiently precise and moreover, such a formulation keeps the MPC optimization problem convex. Finally, it will be shown that the proposed PMV based optimal control problem formulation shifts the savings potential of typical MPC by additional 10% while keeping the comfort at a desired level.

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 51st IEEE Conference on Decision and Control

ISBN

978-1-4673-2066-5

ISSN

0191-2216

e-ISSN

—

Počet stran výsledku

6

Strana od-do

3056-3061

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Wailea, Maui, Hawaii

Datum konání akce

10. 12. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000327200403067