A satisfaction game for heating, ventilation and air conditioning control of smart buildings

Najmeh Forouzandehmehr; Samir M. Perlaza; Zhu Han; H. Vincent Poor

doi:10.1109/GLOCOM.2013.6831558

A satisfaction game for heating, ventilation and air conditioning control of smart buildings

Najmeh Forouzandehmehr, Samir M. Perlaza, Zhu Han, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

Abstract

In this paper, the problem of distributed control of the heating, ventilation and air conditioning (HVAC) system in an energy-smart building is addressed. Using tools from game theory the interaction among several autonomous HVAC units is studied and simple learning dynamics based on trial-and-error learning are proposed to achieve equilibrium. In particular, it is shown that this algorithm reaches stochastically stable states that are equilibria and maximizers of the global welfare of the corresponding game. Simulation results demonstrate that dynamic distributed control for the HVAC system can significantly increase the energy efficiency of smart buildings.

Original language	English (US)
Title of host publication	2013 IEEE Global Communications Conference, GLOBECOM 2013
Pages	3164-3169
Number of pages	6
DOIs	https://doi.org/10.1109/GLOCOM.2013.6831558
State	Published - 2013
Event	2013 IEEE Global Communications Conference, GLOBECOM 2013 - Atlanta, GA, United States Duration: Dec 9 2013 → Dec 13 2013

Publication series

Name	Proceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)	2334-0983
ISSN (Electronic)	2576-6813

Other

Other	2013 IEEE Global Communications Conference, GLOBECOM 2013
Country/Territory	United States
City	Atlanta, GA
Period	12/9/13 → 12/13/13

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1109/GLOCOM.2013.6831558

Cite this

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title = "A satisfaction game for heating, ventilation and air conditioning control of smart buildings",

abstract = "In this paper, the problem of distributed control of the heating, ventilation and air conditioning (HVAC) system in an energy-smart building is addressed. Using tools from game theory the interaction among several autonomous HVAC units is studied and simple learning dynamics based on trial-and-error learning are proposed to achieve equilibrium. In particular, it is shown that this algorithm reaches stochastically stable states that are equilibria and maximizers of the global welfare of the corresponding game. Simulation results demonstrate that dynamic distributed control for the HVAC system can significantly increase the energy efficiency of smart buildings.",

author = "Najmeh Forouzandehmehr and Perlaza, {Samir M.} and Zhu Han and Poor, {H. Vincent}",

year = "2013",

doi = "10.1109/GLOCOM.2013.6831558",

language = "English (US)",

isbn = "9781479913534",

series = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

pages = "3164--3169",

booktitle = "2013 IEEE Global Communications Conference, GLOBECOM 2013",

note = "2013 IEEE Global Communications Conference, GLOBECOM 2013 ; Conference date: 09-12-2013 Through 13-12-2013",

}

Forouzandehmehr, N, Perlaza, SM, Han, Z & Poor, HV 2013, A satisfaction game for heating, ventilation and air conditioning control of smart buildings. in 2013 IEEE Global Communications Conference, GLOBECOM 2013., 6831558, Proceedings - IEEE Global Communications Conference, GLOBECOM, pp. 3164-3169, 2013 IEEE Global Communications Conference, GLOBECOM 2013, Atlanta, GA, United States, 12/9/13. https://doi.org/10.1109/GLOCOM.2013.6831558

A satisfaction game for heating, ventilation and air conditioning control of smart buildings. / Forouzandehmehr, Najmeh; Perlaza, Samir M.; Han, Zhu et al.
2013 IEEE Global Communications Conference, GLOBECOM 2013. 2013. p. 3164-3169 6831558 (Proceedings - IEEE Global Communications Conference, GLOBECOM).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A satisfaction game for heating, ventilation and air conditioning control of smart buildings

AU - Forouzandehmehr, Najmeh

AU - Perlaza, Samir M.

AU - Han, Zhu

AU - Poor, H. Vincent

PY - 2013

Y1 - 2013

N2 - In this paper, the problem of distributed control of the heating, ventilation and air conditioning (HVAC) system in an energy-smart building is addressed. Using tools from game theory the interaction among several autonomous HVAC units is studied and simple learning dynamics based on trial-and-error learning are proposed to achieve equilibrium. In particular, it is shown that this algorithm reaches stochastically stable states that are equilibria and maximizers of the global welfare of the corresponding game. Simulation results demonstrate that dynamic distributed control for the HVAC system can significantly increase the energy efficiency of smart buildings.

AB - In this paper, the problem of distributed control of the heating, ventilation and air conditioning (HVAC) system in an energy-smart building is addressed. Using tools from game theory the interaction among several autonomous HVAC units is studied and simple learning dynamics based on trial-and-error learning are proposed to achieve equilibrium. In particular, it is shown that this algorithm reaches stochastically stable states that are equilibria and maximizers of the global welfare of the corresponding game. Simulation results demonstrate that dynamic distributed control for the HVAC system can significantly increase the energy efficiency of smart buildings.

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BT - 2013 IEEE Global Communications Conference, GLOBECOM 2013

T2 - 2013 IEEE Global Communications Conference, GLOBECOM 2013

Y2 - 9 December 2013 through 13 December 2013

ER -

A satisfaction game for heating, ventilation and air conditioning control of smart buildings

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