On Predicted Mean Vote Optimization in Building Climate Control

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00195250" target="_blank" >RIV/68407700:21230/12:00195250 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6265854" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6265854</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MED.2012.6265854" target="_blank" >10.1109/MED.2012.6265854</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On Predicted Mean Vote Optimization in Building Climate Control

Popis výsledku v původním jazyce

Low energy buildings have been attracting much attention lately. Most of the research is focused on the building construction or alternative energy sources. Recently, there has been an intense research in the area of Model Predictive Control (MPC) for buildings. The main principle of such a controller 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, the thermal comfort is represented by a static range for the operative temperature according to the international standards. 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, however, 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, compare the control performa

Název v anglickém jazyce

On Predicted Mean Vote Optimization in Building Climate Control

Popis výsledku anglicky

Low energy buildings have been attracting much attention lately. Most of the research is focused on the building construction or alternative energy sources. Recently, there has been an intense research in the area of Model Predictive Control (MPC) for buildings. The main principle of such a controller 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, the thermal comfort is represented by a static range for the operative temperature according to the international standards. 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, however, 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, compare the control performa

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

2012 20th Mediterranean Conference on Control & Automation (MED 2012)

ISBN

978-1-4673-2530-1

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1518-1523

Název nakladatele

IEEE

Místo vydání

Barcelona

Místo konání akce

Barcelona

Datum konání akce

3. 7. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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