Battery equivalent model for residential HVAC

Jin Dong; Michael Starke; Borui Cui; Jeffrey Munk; Evgeniya Tsybina; Christopher Winstead; Yaosuo Sonny Xue; Mohammed Olama; Teja Kuruganti

doi:10.1109/PESGM41954.2020.9281418

Battery equivalent model for residential HVAC

Jin Dong, Michael Starke, Borui Cui, Jeffrey Munk, Evgeniya Tsybina, Christopher Winstead, Yaosuo Sonny Xue, Mohammed Olama, Teja Kuruganti

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

9 Scopus citations

Abstract

Flexible loads, especially heating, ventilation, and air-conditioning (HVAC) systems can be used to provide a battery-like service to the power grid by varying their demand up and down over a baseline. Recent work has reported that the round-trip efficiency for providing grid services with HVAC systems can be close to 1. Inspired by this promising result, in this work, we rigorously develop a battery equivalent model (BEM) for residential HVAC systems. Relying only on typically available data, the proposed BEM will bridge the observability and controllability gaps between utility companies and customers. The proposed BEM will enable the utility companies to manage the flexible HVAC devices as easy as charging/discharging the conventional energy storage devices. Validated physics-based models are used to train the BEM, whose prediction accuracy is illustrated through a simulation study.

Original language	English
Title of host publication	2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728155081
DOIs	https://doi.org/10.1109/PESGM41954.2020.9281418
State	Published - Aug 2 2020
Event	2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada Duration: Aug 2 2020 → Aug 6 2020

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2020-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Country/Territory	Canada
City	Montreal
Period	08/2/20 → 08/6/20

Funding

ACKNOWLEDGMENT This material is based upon work supported by the U.S. Department of Energy (DOE), Grid Modernization Laboratory Consortium (GMLC), DOE Office of Electricity, and Building Technologies Office.

Access to Document

10.1109/PESGM41954.2020.9281418

Cite this

Dong, J., Starke, M., Cui, B., Munk, J., Tsybina, E., Winstead, C., Xue, Y. S., Olama, M., & Kuruganti, T. (2020). Battery equivalent model for residential HVAC. In 2020 IEEE Power and Energy Society General Meeting, PESGM 2020 Article 9281418 (IEEE Power and Energy Society General Meeting; Vol. 2020-August). IEEE Computer Society. https://doi.org/10.1109/PESGM41954.2020.9281418

@inproceedings{b53917b5fcb64e90a46e3e8007ce9db5,

title = "Battery equivalent model for residential HVAC",

abstract = "Flexible loads, especially heating, ventilation, and air-conditioning (HVAC) systems can be used to provide a battery-like service to the power grid by varying their demand up and down over a baseline. Recent work has reported that the round-trip efficiency for providing grid services with HVAC systems can be close to 1. Inspired by this promising result, in this work, we rigorously develop a battery equivalent model (BEM) for residential HVAC systems. Relying only on typically available data, the proposed BEM will bridge the observability and controllability gaps between utility companies and customers. The proposed BEM will enable the utility companies to manage the flexible HVAC devices as easy as charging/discharging the conventional energy storage devices. Validated physics-based models are used to train the BEM, whose prediction accuracy is illustrated through a simulation study.",

author = "Jin Dong and Michael Starke and Borui Cui and Jeffrey Munk and Evgeniya Tsybina and Christopher Winstead and Xue, {Yaosuo Sonny} and Mohammed Olama and Teja Kuruganti",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Power and Energy Society General Meeting, PESGM 2020 ; Conference date: 02-08-2020 Through 06-08-2020",

year = "2020",

month = aug,

day = "2",

doi = "10.1109/PESGM41954.2020.9281418",

language = "English",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2020 IEEE Power and Energy Society General Meeting, PESGM 2020",

}

Dong, J , Starke, M , Cui, B, Munk, J, Tsybina, E , Winstead, C , Xue, YS , Olama, M & Kuruganti, T 2020, Battery equivalent model for residential HVAC. in 2020 IEEE Power and Energy Society General Meeting, PESGM 2020., 9281418, IEEE Power and Energy Society General Meeting, vol. 2020-August, IEEE Computer Society, 2020 IEEE Power and Energy Society General Meeting, PESGM 2020, Montreal, Canada, 08/2/20. https://doi.org/10.1109/PESGM41954.2020.9281418

TY - GEN

T1 - Battery equivalent model for residential HVAC

AU - Dong, Jin

AU - Starke, Michael

AU - Cui, Borui

AU - Munk, Jeffrey

AU - Tsybina, Evgeniya

AU - Winstead, Christopher

AU - Xue, Yaosuo Sonny

AU - Olama, Mohammed

AU - Kuruganti, Teja

PY - 2020/8/2

Y1 - 2020/8/2

N2 - Flexible loads, especially heating, ventilation, and air-conditioning (HVAC) systems can be used to provide a battery-like service to the power grid by varying their demand up and down over a baseline. Recent work has reported that the round-trip efficiency for providing grid services with HVAC systems can be close to 1. Inspired by this promising result, in this work, we rigorously develop a battery equivalent model (BEM) for residential HVAC systems. Relying only on typically available data, the proposed BEM will bridge the observability and controllability gaps between utility companies and customers. The proposed BEM will enable the utility companies to manage the flexible HVAC devices as easy as charging/discharging the conventional energy storage devices. Validated physics-based models are used to train the BEM, whose prediction accuracy is illustrated through a simulation study.

AB - Flexible loads, especially heating, ventilation, and air-conditioning (HVAC) systems can be used to provide a battery-like service to the power grid by varying their demand up and down over a baseline. Recent work has reported that the round-trip efficiency for providing grid services with HVAC systems can be close to 1. Inspired by this promising result, in this work, we rigorously develop a battery equivalent model (BEM) for residential HVAC systems. Relying only on typically available data, the proposed BEM will bridge the observability and controllability gaps between utility companies and customers. The proposed BEM will enable the utility companies to manage the flexible HVAC devices as easy as charging/discharging the conventional energy storage devices. Validated physics-based models are used to train the BEM, whose prediction accuracy is illustrated through a simulation study.

UR - http://www.scopus.com/inward/record.url?scp=85099166995&partnerID=8YFLogxK

U2 - 10.1109/PESGM41954.2020.9281418

DO - 10.1109/PESGM41954.2020.9281418

M3 - Conference contribution

AN - SCOPUS:85099166995

T3 - IEEE Power and Energy Society General Meeting

BT - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020

PB - IEEE Computer Society

T2 - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020

Y2 - 2 August 2020 through 6 August 2020

ER -

Battery equivalent model for residential HVAC

Abstract

Publication series

Conference

Funding

Access to Document

Other files and links

Fingerprint

Cite this