Experimental Evidence on Latency in a Fleet of Controllable Water Heaters

Eve Tsybina; Viswadeep Lebakula; Justin Hill; Jeff Munk; Helia Zandi

doi:10.1109/IGESSC59090.2023.10321753

Experimental Evidence on Latency in a Fleet of Controllable Water Heaters

Eve Tsybina, Viswadeep Lebakula, Justin Hill, Jeff Munk, Helia Zandi

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

1 Scopus citations

Abstract

Demand response is an important emerging part of smart grids with wide coverage in theoretical and modeling research. However, experimental evidence on the real-life behavior of controllable loads is still limited. We present observations regarding latency and communication aspects of the operation on a fleet of residential water heaters in a smart neighborhood in Atlanta, GA. Our analysis shows that latency in water heaters is not constant and does not follow a Gaussian distribution. We also find that there is a systematic relationship between latency and hour of the day. Latency was found to increase during morning and evening hours compared to the afternoon. These findings could help better plan deployment of control for demand response programs. Understanding delays associated with controlling smart devices is crucial for proper design and algorithm development for optimization, frequency of dispatch, and override detection.

Original language	English
Title of host publication	2023 IEEE Green Energy and Smart Systems Conference, IGESSC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350313536
DOIs	https://doi.org/10.1109/IGESSC59090.2023.10321753
State	Published - 2023
Event	2023 IEEE Green Energy and Smart Systems Conference, IGESSC 2023 - Long Beach, United States Duration: Nov 13 2023 → Nov 14 2023

Publication series

Name	2023 IEEE Green Energy and Smart Systems Conference, IGESSC 2023

Conference

Conference	2023 IEEE Green Energy and Smart Systems Conference, IGESSC 2023
Country/Territory	United States
City	Long Beach
Period	11/13/23 → 11/14/23

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the ACKNOWLEDGEMENT This work was funded by the US Department of Energy, Energy Efficiency and Renewable Energy, Building Technology Office under contract number DE-AC05-00OR22725.

Keywords

Demand response
communication delay
latency
load flexibility
smart grid
water heaters

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10.1109/IGESSC59090.2023.10321753

Cite this

Tsybina, E., Lebakula, V., Hill, J., Munk, J., & Zandi, H. (2023). Experimental Evidence on Latency in a Fleet of Controllable Water Heaters. In 2023 IEEE Green Energy and Smart Systems Conference, IGESSC 2023 (2023 IEEE Green Energy and Smart Systems Conference, IGESSC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGESSC59090.2023.10321753

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title = "Experimental Evidence on Latency in a Fleet of Controllable Water Heaters",

abstract = "Demand response is an important emerging part of smart grids with wide coverage in theoretical and modeling research. However, experimental evidence on the real-life behavior of controllable loads is still limited. We present observations regarding latency and communication aspects of the operation on a fleet of residential water heaters in a smart neighborhood in Atlanta, GA. Our analysis shows that latency in water heaters is not constant and does not follow a Gaussian distribution. We also find that there is a systematic relationship between latency and hour of the day. Latency was found to increase during morning and evening hours compared to the afternoon. These findings could help better plan deployment of control for demand response programs. Understanding delays associated with controlling smart devices is crucial for proper design and algorithm development for optimization, frequency of dispatch, and override detection.",

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author = "Eve Tsybina and Viswadeep Lebakula and Justin Hill and Jeff Munk and Helia Zandi",

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year = "2023",

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Tsybina, E , Lebakula, V, Hill, J, Munk, J & Zandi, H 2023, Experimental Evidence on Latency in a Fleet of Controllable Water Heaters. in 2023 IEEE Green Energy and Smart Systems Conference, IGESSC 2023. 2023 IEEE Green Energy and Smart Systems Conference, IGESSC 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE Green Energy and Smart Systems Conference, IGESSC 2023, Long Beach, United States, 11/13/23. https://doi.org/10.1109/IGESSC59090.2023.10321753

Experimental Evidence on Latency in a Fleet of Controllable Water Heaters. / Tsybina, Eve ; Lebakula, Viswadeep; Hill, Justin et al.
2023 IEEE Green Energy and Smart Systems Conference, IGESSC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE Green Energy and Smart Systems Conference, IGESSC 2023).

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

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AU - Hill, Justin

AU - Munk, Jeff

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AB - Demand response is an important emerging part of smart grids with wide coverage in theoretical and modeling research. However, experimental evidence on the real-life behavior of controllable loads is still limited. We present observations regarding latency and communication aspects of the operation on a fleet of residential water heaters in a smart neighborhood in Atlanta, GA. Our analysis shows that latency in water heaters is not constant and does not follow a Gaussian distribution. We also find that there is a systematic relationship between latency and hour of the day. Latency was found to increase during morning and evening hours compared to the afternoon. These findings could help better plan deployment of control for demand response programs. Understanding delays associated with controlling smart devices is crucial for proper design and algorithm development for optimization, frequency of dispatch, and override detection.

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Experimental Evidence on Latency in a Fleet of Controllable Water Heaters

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