Identification for Model Based Predictive Control Applied to an Office Building with a Thermally Activated Building Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00207895" target="_blank" >RIV/68407700:21230/13:00207895 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21720/13:00207895

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Identification for Model Based Predictive Control Applied to an Office Building with a Thermally Activated Building Systems

Popis výsledku v původním jazyce

In recent years, the number of applications that use advanced control algorithms such as Model Predictive Control (MPC) for building climate control is increasing. These control strategies provide substantial savings potential, but for their optimal behaviour it is necessary to have a good mathematical model of the building. Creation of a mathematical model appropriate for MPC is a delicate task. This is especially in the case of real applications, characterized by a lack of available measurements and by data of poor quality. This paper presents a system identification (SI) procedure to obtain a building model based on real measurement data. The innovative character of the presented SI method is mainly the choice of the identification procedure cost function - multi-step prediction error criterion - which directly corresponds to the MPC cost function. The resulting model is suitable for use within the MPC framework, where the model should be accurate even during long time horizons. Bei

Název v anglickém jazyce

Identification for Model Based Predictive Control Applied to an Office Building with a Thermally Activated Building Systems

Popis výsledku anglicky

In recent years, the number of applications that use advanced control algorithms such as Model Predictive Control (MPC) for building climate control is increasing. These control strategies provide substantial savings potential, but for their optimal behaviour it is necessary to have a good mathematical model of the building. Creation of a mathematical model appropriate for MPC is a delicate task. This is especially in the case of real applications, characterized by a lack of available measurements and by data of poor quality. This paper presents a system identification (SI) procedure to obtain a building model based on real measurement data. The innovative character of the presented SI method is mainly the choice of the identification procedure cost function - multi-step prediction error criterion - which directly corresponds to the MPC cost function. The resulting model is suitable for use within the MPC framework, where the model should be accurate even during long time horizons. Bei

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Clima 2013 - 11th REHVA World Congress & 8th International Conference on IAQVEC - "Energy Efficient, Smart and Healthy Buildings"

ISBN

978-80-260-4001-9

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

2430-2439

Název nakladatele

Společnost pro techniku prostředí

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

16. 6. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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