Building modeling as a crucial part for building predictive control

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00198374" target="_blank" >RIV/68407700:21230/13:00198374 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.enbuild.2012.10.024" target="_blank" >http://dx.doi.org/10.1016/j.enbuild.2012.10.024</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.enbuild.2012.10.024" target="_blank" >10.1016/j.enbuild.2012.10.024</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Building modeling as a crucial part for building predictive control

Popis výsledku v původním jazyce

Recent results show that a predictive building automation can be used to operate buildings in an energy and cost effective manner with only a small retrofitting requirements. In this approach, the dynamic models are of crucial importance. As industrial experience has shown, modeling is the most time-demanding and costly part of the automation process. Many papers devoted to this topic actually deal with modeling of building subsystems. Although some papers identify a building as a complex system, the provided models are usually simple two-zones models, or extremely detailed models resulting from the use of building simulation software packages. These are, however, not suitable for predictive control. The objective of this paper is to share the years-long experience of the authors in building modeling intended for predictive control of the building's climate. We provide an overview of identification methods for buildings and analyze their applicability for subsequent predictive control.

Název v anglickém jazyce

Building modeling as a crucial part for building predictive control

Popis výsledku anglicky

Recent results show that a predictive building automation can be used to operate buildings in an energy and cost effective manner with only a small retrofitting requirements. In this approach, the dynamic models are of crucial importance. As industrial experience has shown, modeling is the most time-demanding and costly part of the automation process. Many papers devoted to this topic actually deal with modeling of building subsystems. Although some papers identify a building as a complex system, the provided models are usually simple two-zones models, or extremely detailed models resulting from the use of building simulation software packages. These are, however, not suitable for predictive control. The objective of this paper is to share the years-long experience of the authors in building modeling intended for predictive control of the building's climate. We provide an overview of identification methods for buildings and analyze their applicability for subsequent predictive control.

Druh

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

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

—

Projekt

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

Návaznosti

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

Rok uplatnění

2013

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

56

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

15

Strana od-do

8-22

Kód UT WoS článku

000314378500002

EID výsledku v databázi Scopus

—