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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/GAP103%2F12%2F1187" target="_blank" >GAP103/12/1187: Identifikace stochastických, nelineárních systémů pro pokročilé řízení</a><br>

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 periodika

Energy and Buildings

ISSN

0378-7788

e-ISSN

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Svazek periodika

52

Číslo periodika v rámci svazku

—

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

39-49

Kód UT WoS článku

000308515200005

EID výsledku v databázi Scopus

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