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Reducing electrical energy consumption of AHU fans through parameter identification of the drive

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00323345" target="_blank" >RIV/68407700:21230/18:00323345 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/IGBSG.2018.8393529" target="_blank" >http://dx.doi.org/10.1109/IGBSG.2018.8393529</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IGBSG.2018.8393529" target="_blank" >10.1109/IGBSG.2018.8393529</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Reducing electrical energy consumption of AHU fans through parameter identification of the drive

  • Original language description

    This paper concerns usage of an on-line parameter identification method for optimization of power consumption of fan drives with induction machines in air handling units (AHU) of heat, ventilation and air conditioning (HVAC) systems of buildings. Variable frequency drives (VFD) are nowadays a key manner for lowering the consumption of HVAC system in off-peak times. However their controllers don't respect the changes of machine parameters during the operation. Proposed method can enhance the control algorithm of VFD with induction machine to optimize its efficiency. Further it can be implemented also on existing installations as it uses only standard components of the drive.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2018 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG)

  • ISBN

    978-1-5386-0661-2

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1-4

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Yilan

  • Event date

    Apr 22, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000437160600014