Data-Driven Model Reduction of the Moving Boundary Heat Pump Dynamic Model

Ruihao Song; Guillaume Yon; Thomas Hamacher; Vedran S. Peric

doi:10.1109/PESGM48719.2022.9916823

Data-Driven Model Reduction of the Moving Boundary Heat Pump Dynamic Model

Ruihao Song
, Guillaume Yon
, Thomas Hamacher
, Vedran S. Peric

Chair of Renewable and Sustainable Energy Systems

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

5 Scopus citations

Abstract

Heat pump systems have the potential to be used as controllable load to compensate for the uncertainties in modern power systems. The moving boundary model for heat pumps is known for its accuracy and acceptable computational burden. However, this model is sometimes impractical because it requires detailed information on the mechanical structure of the internal loops and the thermal state of the refrigerant. A data-driven method based on the cascaded wiener model is proposed in this paper to simplify the moving boundary model. The proposed model is developed from an observation that the dynamic behavior of the heat pump is relatively linear over a large range of operation states, while the static behavior is very nonlinear. Through comparison of simulation results, the proposed model has close accuracy to the moving boundary model and can be a viable alternative for control design purposes.

Original language	English
Title of host publication	2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665408233
DOIs	https://doi.org/10.1109/PESGM48719.2022.9916823
State	Published - 2022
Event	2022 IEEE Power and Energy Society General Meeting, PESGM 2022 - Denver, United States Duration: 17 Jul 2022 → 21 Jul 2022

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2022-July
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Country/Territory	United States
City	Denver
Period	17/07/22 → 21/07/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

controllable load
data-driven modelling
dynamic modelling
heat pump
moving boundary model
wiener model

Access to Document

10.1109/PESGM48719.2022.9916823

Cite this

@inproceedings{61e9595b763c49669e950594a05360db,

title = "Data-Driven Model Reduction of the Moving Boundary Heat Pump Dynamic Model",

abstract = "Heat pump systems have the potential to be used as controllable load to compensate for the uncertainties in modern power systems. The moving boundary model for heat pumps is known for its accuracy and acceptable computational burden. However, this model is sometimes impractical because it requires detailed information on the mechanical structure of the internal loops and the thermal state of the refrigerant. A data-driven method based on the cascaded wiener model is proposed in this paper to simplify the moving boundary model. The proposed model is developed from an observation that the dynamic behavior of the heat pump is relatively linear over a large range of operation states, while the static behavior is very nonlinear. Through comparison of simulation results, the proposed model has close accuracy to the moving boundary model and can be a viable alternative for control design purposes.",

keywords = "controllable load, data-driven modelling, dynamic modelling, heat pump, moving boundary model, wiener model",

author = "Ruihao Song and Guillaume Yon and Thomas Hamacher and Peric, \{Vedran S.\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Power and Energy Society General Meeting, PESGM 2022 ; Conference date: 17-07-2022 Through 21-07-2022",

year = "2022",

doi = "10.1109/PESGM48719.2022.9916823",

language = "English",

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

publisher = "IEEE Computer Society",

booktitle = "2022 IEEE Power and Energy Society General Meeting, PESGM 2022",

}

Song, R, Yon, G, Hamacher, T & Peric, VS 2022, Data-Driven Model Reduction of the Moving Boundary Heat Pump Dynamic Model. in 2022 IEEE Power and Energy Society General Meeting, PESGM 2022. IEEE Power and Energy Society General Meeting, vol. 2022-July, IEEE Computer Society, 2022 IEEE Power and Energy Society General Meeting, PESGM 2022, Denver, United States, 17/07/22. https://doi.org/10.1109/PESGM48719.2022.9916823

Data-Driven Model Reduction of the Moving Boundary Heat Pump Dynamic Model. / Song, Ruihao; Yon, Guillaume; Hamacher, Thomas et al.
2022 IEEE Power and Energy Society General Meeting, PESGM 2022. IEEE Computer Society, 2022. (IEEE Power and Energy Society General Meeting; Vol. 2022-July).

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

TY - GEN

T1 - Data-Driven Model Reduction of the Moving Boundary Heat Pump Dynamic Model

AU - Song, Ruihao

AU - Yon, Guillaume

AU - Hamacher, Thomas

AU - Peric, Vedran S.

PY - 2022

Y1 - 2022

N2 - Heat pump systems have the potential to be used as controllable load to compensate for the uncertainties in modern power systems. The moving boundary model for heat pumps is known for its accuracy and acceptable computational burden. However, this model is sometimes impractical because it requires detailed information on the mechanical structure of the internal loops and the thermal state of the refrigerant. A data-driven method based on the cascaded wiener model is proposed in this paper to simplify the moving boundary model. The proposed model is developed from an observation that the dynamic behavior of the heat pump is relatively linear over a large range of operation states, while the static behavior is very nonlinear. Through comparison of simulation results, the proposed model has close accuracy to the moving boundary model and can be a viable alternative for control design purposes.

AB - Heat pump systems have the potential to be used as controllable load to compensate for the uncertainties in modern power systems. The moving boundary model for heat pumps is known for its accuracy and acceptable computational burden. However, this model is sometimes impractical because it requires detailed information on the mechanical structure of the internal loops and the thermal state of the refrigerant. A data-driven method based on the cascaded wiener model is proposed in this paper to simplify the moving boundary model. The proposed model is developed from an observation that the dynamic behavior of the heat pump is relatively linear over a large range of operation states, while the static behavior is very nonlinear. Through comparison of simulation results, the proposed model has close accuracy to the moving boundary model and can be a viable alternative for control design purposes.

KW - controllable load

KW - data-driven modelling

KW - dynamic modelling

KW - heat pump

KW - moving boundary model

KW - wiener model

UR - https://www.scopus.com/pages/publications/85141477205

U2 - 10.1109/PESGM48719.2022.9916823

DO - 10.1109/PESGM48719.2022.9916823

M3 - Conference contribution

AN - SCOPUS:85141477205

T3 - IEEE Power and Energy Society General Meeting

BT - 2022 IEEE Power and Energy Society General Meeting, PESGM 2022

PB - IEEE Computer Society

T2 - 2022 IEEE Power and Energy Society General Meeting, PESGM 2022

Y2 - 17 July 2022 through 21 July 2022

ER -

Data-Driven Model Reduction of the Moving Boundary Heat Pump Dynamic Model

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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