Evaluation of Equivalent Battery Model Representations for Thermostatically Controlled Loads in Commercial Buildings

Akintonde Abbas; Raheem Ariwoola; Badrul Chowdhury; Sukumar Kamalasadan; Yashen Lin

doi:10.1109/IAS54023.2022.9939672

Evaluation of Equivalent Battery Model Representations for Thermostatically Controlled Loads in Commercial Buildings

Akintonde Abbas, Raheem Ariwoola, Badrul Chowdhury, Sukumar Kamalasadan, Yashen Lin

Power Systems Engineering

University of North Carolina at Charlotte

Research output: Contribution to conference › Paper › peer-review

1 Scopus Citations

Abstract

Models for thermostatically controlled loads in commercial buildings often include many parameters and variables compared to residential buildings. As such, it is beneficial to use reduced-order models to represent these resources. A classic example of such a model is the Virtual Battery or Equivalent Battery Model (EBM). In this paper, the typical EBM is extended to higher-order commercial Heating, Ventilation, and Air-conditioning (HVAC) models and adapted for electric water heaters. Finally, we compare the performance of EBMs with detailed thermal models using three classic optimization problems-energy maximization, energy minimization, and power reference tracking. Our results show that the EBM-constrained and detailed thermal model-constrained problems produce similar outcomes in terms of temperature, power, and total energy consumption.

Original language	American English
Number of pages	6
DOIs	https://doi.org/10.1109/IAS54023.2022.9939672 https://doi.org/10.1109/IAS54023.2022.9939672
State	Published - 2022
Event	2022 IEEE Industry Applications Society Annual Meeting, IAS 2022 - Detroit, United States Duration: 9 Oct 2022 → 14 Oct 2022

Conference

Conference	2022 IEEE Industry Applications Society Annual Meeting, IAS 2022
Country/Territory	United States
City	Detroit
Period	9/10/22 → 14/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

NREL Publication Number

NREL/CP-5D00-85101

Keywords

commercial buildings
equivalent battery models
HVACs
water heaters

UN SDGs

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

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Abbas, A., Ariwoola, R., Chowdhury, B., Kamalasadan, S., & Lin, Y. (2022). Evaluation of Equivalent Battery Model Representations for Thermostatically Controlled Loads in Commercial Buildings. Paper presented at 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022, Detroit, United States. https://doi.org/10.1109/IAS54023.2022.9939672, https://doi.org/10.1109/IAS54023.2022.9939672

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Abbas, A, Ariwoola, R, Chowdhury, B, Kamalasadan, S & Lin, Y 2022, 'Evaluation of Equivalent Battery Model Representations for Thermostatically Controlled Loads in Commercial Buildings', Paper presented at 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022, Detroit, United States, 9/10/22 - 14/10/22. https://doi.org/10.1109/IAS54023.2022.9939672, https://doi.org/10.1109/IAS54023.2022.9939672

TY - CONF

T1 - Evaluation of Equivalent Battery Model Representations for Thermostatically Controlled Loads in Commercial Buildings

AU - Abbas, Akintonde

AU - Ariwoola, Raheem

AU - Chowdhury, Badrul

AU - Kamalasadan, Sukumar

AU - Lin, Yashen

PY - 2022

Y1 - 2022

N2 - Models for thermostatically controlled loads in commercial buildings often include many parameters and variables compared to residential buildings. As such, it is beneficial to use reduced-order models to represent these resources. A classic example of such a model is the Virtual Battery or Equivalent Battery Model (EBM). In this paper, the typical EBM is extended to higher-order commercial Heating, Ventilation, and Air-conditioning (HVAC) models and adapted for electric water heaters. Finally, we compare the performance of EBMs with detailed thermal models using three classic optimization problems-energy maximization, energy minimization, and power reference tracking. Our results show that the EBM-constrained and detailed thermal model-constrained problems produce similar outcomes in terms of temperature, power, and total energy consumption.

AB - Models for thermostatically controlled loads in commercial buildings often include many parameters and variables compared to residential buildings. As such, it is beneficial to use reduced-order models to represent these resources. A classic example of such a model is the Virtual Battery or Equivalent Battery Model (EBM). In this paper, the typical EBM is extended to higher-order commercial Heating, Ventilation, and Air-conditioning (HVAC) models and adapted for electric water heaters. Finally, we compare the performance of EBMs with detailed thermal models using three classic optimization problems-energy maximization, energy minimization, and power reference tracking. Our results show that the EBM-constrained and detailed thermal model-constrained problems produce similar outcomes in terms of temperature, power, and total energy consumption.

KW - commercial buildings

KW - equivalent battery models

KW - HVACs

KW - water heaters

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T2 - 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022

Y2 - 9 October 2022 through 14 October 2022

ER -

Evaluation of Equivalent Battery Model Representations for Thermostatically Controlled Loads in Commercial Buildings

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

Access to Document

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