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Building modeling as a crucial part for building predictive control

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Building modeling as a crucial part for building predictive control

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F12%2F1187" target="_blank" >GAP103/12/1187: Identification of Stochastic, Nonlinear Systems for Advanced Control</a><br>

  • Continuities

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

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Energy and Buildings

  • ISSN

    0378-7788

  • e-ISSN

  • Volume of the periodical

    56

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    15

  • Pages from-to

    8-22

  • UT code for WoS article

    000314378500002

  • EID of the result in the Scopus database