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Experimental analysis of model predictive control for an energy efficient building heating system

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898281" target="_blank" >RIV/49777513:23520/11:43898281 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/11:00179562

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.apenergy.2011.03.009" target="_blank" >http://dx.doi.org/10.1016/j.apenergy.2011.03.009</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.apenergy.2011.03.009" target="_blank" >10.1016/j.apenergy.2011.03.009</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Experimental analysis of model predictive control for an energy efficient building heating system

  • Original language description

    Low energy buildings have attracted lots of attention in recent years. Most of the research is focused on the building construction or alternative energy sources. In contrary, this paper presents a general methodology of minimizing energy consumption using current energy sources and minimal retrofitting, but instead making use of advanced control techniques. We focus on the analysis of energy savings that can be achieved in a building heating system by applying model predictive control (MPC) and using weather predictions. The basic formulation of MPC is described with emphasis on the building control application and tested in a two months experiment performed on a real building in Prague, Czech Republic.

  • 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/2A-1TP1%2F084" target="_blank" >2A-1TP1/084: *Integration of the systems in the buildings, research and application of intelligent algorithms that have influence on the energy consumption</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Applied Energy

  • ISSN

    0306-2619

  • e-ISSN

  • Volume of the periodical

    88

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    3079-3087

  • UT code for WoS article

    000291232300019

  • EID of the result in the Scopus database