Integrated dynamic modelling and multivariable control of HVAC components

H. Satyavada; Robert Babuska; Simone Baldi

doi:10.1109/ECC.2016.7810448

Integrated dynamic modelling and multivariable control of HVAC components

H. Satyavada, Robert Babuska, Simone Baldi

Team Bart De Schutter

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

11 Citations (Scopus)

304 Downloads (Pure)

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 language	English
Title of host publication	Proceedings 2016 IEEE European Control Conference (ECC)
Editors	Jakob Stoustrup, Anders Rantzer, John Bagterp Jørgensen
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	1171-1176
ISBN (Print)	978-1-5090-0622-9
DOIs	https://doi.org/10.1109/ECC.2016.7810448
Publication status	Published - 2016
Event	2016 European Control Conference, ECC 2016: 15th annual European Control Conference - Aalborg, Denmark Duration: 29 Jun 2016 → 1 Jul 2016 http://www.ecc16.eu/index.shtml

Conference

Conference	2016 European Control Conference, ECC 2016
Abbreviated title	ECC'16
Country/Territory	Denmark
City	Aalborg
Period	29/06/16 → 1/07/16
Internet address	http://www.ecc16.eu/index.shtml

Bibliographical note

Accepted Author Manuscript

Keywords

Atmospheric modeling
Mathematical model
Boilers
Shock absorbers
Ducts
Valves

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ECC.2016.7810448

0525_FIAccepted author manuscript, 276 KB

Cite this

@inproceedings{bc0db22fb82c4f9fbcd032b18366317e,

title = "Integrated dynamic modelling and multivariable control of HVAC components",

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.",

keywords = "Atmospheric modeling, Mathematical model, Boilers, Shock absorbers, Ducts, Valves",

author = "H. Satyavada and Robert Babuska and Simone Baldi",

note = "Accepted Author Manuscript; 2016 European Control Conference, ECC 2016 : 15th annual European Control Conference, ECC'16 ; Conference date: 29-06-2016 Through 01-07-2016",

year = "2016",

doi = "10.1109/ECC.2016.7810448",

language = "English",

isbn = "978-1-5090-0622-9",

pages = "1171--1176",

editor = "Jakob Stoustrup and Anders Rantzer and J{\o}rgensen, {John Bagterp}",

booktitle = "Proceedings 2016 IEEE European Control Conference (ECC)",

publisher = "IEEE",

address = "United States",

url = "http://www.ecc16.eu/index.shtml",

}

Satyavada, H, Babuska, R & Baldi, S 2016, Integrated dynamic modelling and multivariable control of HVAC components. in J Stoustrup, A Rantzer & JB Jørgensen (eds), Proceedings 2016 IEEE European Control Conference (ECC). IEEE, Piscataway, NJ, USA, pp. 1171-1176, 2016 European Control Conference, ECC 2016, Aalborg, Denmark, 29/06/16. https://doi.org/10.1109/ECC.2016.7810448

Integrated dynamic modelling and multivariable control of HVAC components. / Satyavada, H.; Babuska, Robert ; Baldi, Simone.
Proceedings 2016 IEEE European Control Conference (ECC). ed. / Jakob Stoustrup; Anders Rantzer; John Bagterp Jørgensen. Piscataway, NJ, USA: IEEE, 2016. p. 1171-1176.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Integrated dynamic modelling and multivariable control of HVAC components

AU - Satyavada, H.

AU - Babuska, Robert

AU - Baldi, Simone

N1 - Accepted Author Manuscript

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Atmospheric modeling

KW - Mathematical model

KW - Boilers

KW - Shock absorbers

KW - Ducts

KW - Valves

UR - http://resolver.tudelft.nl/uuid:bc0db22f-b82c-4f9f-bcd0-32b18366317e

U2 - 10.1109/ECC.2016.7810448

DO - 10.1109/ECC.2016.7810448

M3 - Conference contribution

SN - 978-1-5090-0622-9

SP - 1171

EP - 1176

BT - Proceedings 2016 IEEE European Control Conference (ECC)

A2 - Stoustrup, Jakob

A2 - Rantzer, Anders

A2 - Jørgensen, John Bagterp

PB - IEEE

CY - Piscataway, NJ, USA

T2 - 2016 European Control Conference, ECC 2016

Y2 - 29 June 2016 through 1 July 2016

ER -

Integrated dynamic modelling and multivariable control of HVAC components

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this