Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response

Xingji Yu; Shi You; Hanmin Cai; Laurent Georges; Peder Bacher

doi:10.1007/978-981-13-9528-4_9

Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response

Xingji Yu^*, Shi You, Hanmin Cai, Laurent Georges, Peder Bacher

^*Corresponding author for this work

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

Abstract

Electric water heater (EWH) is widely used to provide reliable and long-lasting domestic hot water to occupants in residential buildings. EWH has been widely recognized as an important source of building energy flexibility, which could benefit both the building occupants and the power system operators through various demand response (DR) programs. DR programs applied to EWHs are investigated in this paper. Optimal control strategies are developed to operate a portfolio of EWHs in order to reduce energy costs. A control-based model of EWH is developed using the data from field experiments and a statistical grey-box modelling approach (here using the CSTM-R package). The results show that the aggregated EWHs can optimize their heating schedule in order to reduce the overall cost without compromising the comfort of occupants.

Original language	English
Title of host publication	Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning : Buildings and Energy
Editors	Zhaojun Wang, Fang Wang, Peng Wang, Chao Shen, Jing Liu, Yingxin Zhu
Volume	3
Publisher	Springer
Publication date	1 Jan 2020
Pages	77-86
ISBN (Print)	9789811395277
DOIs	https://doi.org/10.1007/978-981-13-9528-4_9
Publication status	Published - 1 Jan 2020
Event	11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019 - Harbin, China Duration: 12 Jul 2019 → 15 Jul 2019

Conference

Conference	11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019
Country	China
City	Harbin
Period	12/07/2019 → 15/07/2019

Series	Environmental Science and Engineering
ISSN	1863-5520

Keywords

Aggregation
Electric water heater
Experiment
Flexibility
Optimization

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Yu, X., You, S., Cai, H., Georges, L., & Bacher, P. (2020). Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response. In Z. Wang, F. Wang, P. Wang, C. Shen, J. Liu, & Y. Zhu (Eds.), Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning: Buildings and Energy (Vol. 3, pp. 77-86). Springer. Environmental Science and Engineering https://doi.org/10.1007/978-981-13-9528-4_9

Yu, Xingji ; You, Shi ; Cai, Hanmin ; Georges, Laurent ; Bacher, Peder. / Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response. Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning: Buildings and Energy. editor / Zhaojun Wang ; Fang Wang ; Peng Wang ; Chao Shen ; Jing Liu ; Yingxin Zhu. Vol. 3 Springer, 2020. pp. 77-86 (Environmental Science and Engineering).

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title = "Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response",

abstract = "Electric water heater (EWH) is widely used to provide reliable and long-lasting domestic hot water to occupants in residential buildings. EWH has been widely recognized as an important source of building energy flexibility, which could benefit both the building occupants and the power system operators through various demand response (DR) programs. DR programs applied to EWHs are investigated in this paper. Optimal control strategies are developed to operate a portfolio of EWHs in order to reduce energy costs. A control-based model of EWH is developed using the data from field experiments and a statistical grey-box modelling approach (here using the CSTM-R package). The results show that the aggregated EWHs can optimize their heating schedule in order to reduce the overall cost without compromising the comfort of occupants.",

keywords = "Aggregation, Electric water heater, Experiment, Flexibility, Optimization",

author = "Xingji Yu and Shi You and Hanmin Cai and Laurent Georges and Peder Bacher",

year = "2020",

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doi = "10.1007/978-981-13-9528-4_9",

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booktitle = "Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning",

note = "11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019 ; Conference date: 12-07-2019 Through 15-07-2019",

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Yu, X, You, S, Cai, H, Georges, L & Bacher, P 2020, Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response. in Z Wang, F Wang, P Wang, C Shen, J Liu & Y Zhu (eds), Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning: Buildings and Energy. vol. 3, Springer, Environmental Science and Engineering, pp. 77-86, 11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019, Harbin, China, 12/07/2019. https://doi.org/10.1007/978-981-13-9528-4_9

Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response. / Yu, Xingji; You, Shi; Cai, Hanmin; Georges, Laurent; Bacher, Peder.

Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning: Buildings and Energy. ed. / Zhaojun Wang; Fang Wang; Peng Wang; Chao Shen; Jing Liu; Yingxin Zhu. Vol. 3 Springer, 2020. p. 77-86 (Environmental Science and Engineering).

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

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T1 - Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response

AU - Yu, Xingji

AU - You, Shi

AU - Cai, Hanmin

AU - Georges, Laurent

AU - Bacher, Peder

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Electric water heater (EWH) is widely used to provide reliable and long-lasting domestic hot water to occupants in residential buildings. EWH has been widely recognized as an important source of building energy flexibility, which could benefit both the building occupants and the power system operators through various demand response (DR) programs. DR programs applied to EWHs are investigated in this paper. Optimal control strategies are developed to operate a portfolio of EWHs in order to reduce energy costs. A control-based model of EWH is developed using the data from field experiments and a statistical grey-box modelling approach (here using the CSTM-R package). The results show that the aggregated EWHs can optimize their heating schedule in order to reduce the overall cost without compromising the comfort of occupants.

AB - Electric water heater (EWH) is widely used to provide reliable and long-lasting domestic hot water to occupants in residential buildings. EWH has been widely recognized as an important source of building energy flexibility, which could benefit both the building occupants and the power system operators through various demand response (DR) programs. DR programs applied to EWHs are investigated in this paper. Optimal control strategies are developed to operate a portfolio of EWHs in order to reduce energy costs. A control-based model of EWH is developed using the data from field experiments and a statistical grey-box modelling approach (here using the CSTM-R package). The results show that the aggregated EWHs can optimize their heating schedule in order to reduce the overall cost without compromising the comfort of occupants.

KW - Aggregation

KW - Electric water heater

KW - Experiment

KW - Flexibility

KW - Optimization

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DO - 10.1007/978-981-13-9528-4_9

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SN - 9789811395277

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T3 - Environmental Science and Engineering

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BT - Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning

A2 - Wang, Zhaojun

A2 - Wang, Fang

A2 - Wang, Peng

A2 - Shen, Chao

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A2 - Zhu, Yingxin

PB - Springer

T2 - 11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019

Y2 - 12 July 2019 through 15 July 2019

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Yu X, You S, Cai H, Georges L, Bacher P. Data-Driven Modelling and Optimal Control of Domestic Electric Water Heaters for Demand Response. In Wang Z, Wang F, Wang P, Shen C, Liu J, Zhu Y, editors, Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning: Buildings and Energy. Vol. 3. Springer. 2020. p. 77-86. (Environmental Science and Engineering). https://doi.org/10.1007/978-981-13-9528-4_9