Model predictive control of a building heating system: The first experience

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898282" target="_blank" >RIV/49777513:23520/11:43898282 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/11:00171368

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.enbuild.2010.10.022" target="_blank" >http://dx.doi.org/10.1016/j.enbuild.2010.10.022</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.enbuild.2010.10.022" target="_blank" >10.1016/j.enbuild.2010.10.022</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Model predictive control of a building heating system: The first experience

Popis výsledku v původním jazyce

This paper presents model predictive controller (MPC) applied to the temperature control of real building. Conventional control strategies of a building heating system such as weather-compensated control cannot make use of the energy supplied to a building (e.g. solar gain in case of sunny day). Moreover dropout of outside temperature can lead to underheating of a building. Presented predictive controller uses both weather forecast and thermal model of a building to inside temperature control. By this,it can utilize thermal capacity of a building and minimize energy consumption. It can also maintain inside temperature at desired level independent of outside weather conditions. Nevertheless, proper identification of the building model is crucial. The models of multiple input multiple output systems (MIMO) can be identified by means of subspace methods. Oftentimes, the measured data used for identification are not satisfactory and need special treatment. During the 2009/2010 heating sea

Název v anglickém jazyce

Model predictive control of a building heating system: The first experience

Popis výsledku anglicky

This paper presents model predictive controller (MPC) applied to the temperature control of real building. Conventional control strategies of a building heating system such as weather-compensated control cannot make use of the energy supplied to a building (e.g. solar gain in case of sunny day). Moreover dropout of outside temperature can lead to underheating of a building. Presented predictive controller uses both weather forecast and thermal model of a building to inside temperature control. By this,it can utilize thermal capacity of a building and minimize energy consumption. It can also maintain inside temperature at desired level independent of outside weather conditions. Nevertheless, proper identification of the building model is crucial. The models of multiple input multiple output systems (MIMO) can be identified by means of subspace methods. Oftentimes, the measured data used for identification are not satisfactory and need special treatment. During the 2009/2010 heating sea

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/FR-TI1%2F517" target="_blank" >FR-TI1/517: *Řídicí systémy pro optimalizaci spotřeby energie v nízkoenergetických a pasivních domech</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

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

—

Svazek periodika

43

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

9

Strana od-do

564-572

Kód UT WoS článku

000287291300037

EID výsledku v databázi Scopus

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