Integrated dynamic modelling and multivariable control of HVAC components

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Abstract

The field of energy efficiency in buildings offers challenging opportunities from a control point of view. Heating, Ventilation and Air-Conditioning (HVAC) units in buildings must be accurately controlled so as to ensure the occupants' comfort and reduced energy consumption. While the existing HVAC models consist of only one or a few HVAC components, this work involves the development of a complete HVAC model for one thermal zone. Also, a novel multivariable control strategy based on PI auto-tuning is proposed by combining the aforementioned model with optimization of the desired (time-varying) equilibria. One of the advantages of the proposed PI strategy is the use of time-varying input equilibria and zone setpoint temperature, which can lead to important energy savings. A comparison with a baseline control strategy with constant setpoint temperature is presented: the comparison results show good tracking performance and improved energy efficiency in terms of HVAC energy consumption.
Original languageEnglish
Title of host publicationProceedings 2016 IEEE European Control Conference (ECC)
EditorsJakob Stoustrup, Anders Rantzer, John Bagterp Jørgensen
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages1171-1176
ISBN (Print)978-1-5090-0622-9
DOIs
Publication statusPublished - 2016
Event2016 European Control Conference, ECC 2016: 15th annual European Control Conference - Aalborg, Denmark
Duration: 29 Jun 20161 Jul 2016
http://www.ecc16.eu/index.shtml

Conference

Conference2016 European Control Conference, ECC 2016
Abbreviated titleECC'16
CountryDenmark
CityAalborg
Period29/06/161/07/16
Internet address

Keywords

  • Atmospheric modeling
  • Mathematical model
  • Boilers
  • Shock absorbers
  • Ducts
  • Valves

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  • Cite this

    Satyavada, H., Babuska, R., & Baldi, S. (2016). Integrated dynamic modelling and multivariable control of HVAC components. In J. Stoustrup, A. Rantzer, & J. B. Jørgensen (Eds.), Proceedings 2016 IEEE European Control Conference (ECC) (pp. 1171-1176). IEEE. https://doi.org/10.1109/ECC.2016.7810448