Energy Storage System and Renewable Energy Planning for Green Internet Data Center Considering Temporal and Spatial Load Regulation

Wan Tong; Jing Qiu; Yuechuan Tao; Shuying Lai; Ren Jie Mao

doi:10.1109/ETFG55873.2023.10408233

Energy Storage System and Renewable Energy Planning for Green Internet Data Center Considering Temporal and Spatial Load Regulation

Wan Tong
, Jing Qiu
, Yuechuan Tao
, Shuying Lai
, Ren Jie Mao

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

Given the growing concerns over environmental issues such as greenhouse gas emissions, the idea of sustainable development has gained traction. As the computational load in Internet Data Centers (IDCs) continues to increase, they have become a new type of electricity load in the power sector. Yet, if IDCs operate on an electricity grid powered primarily by fossil fuels, they indirectly contribute to carbon emissions, especially if the energy is sourced from thermal generators. This article suggests a combined approach of battery energy storage systems (BESS) and renewable energy planning that emphasizes both spatial and temporal load adjustments to promote eco-friendly computation in IDCs. This planning framework integrates renewable energy sources and BESS to cut down on carbon emissions. The IDC's load management, both in terms of space and time, is tailored to complement the renewable energy and BESS. We introduce a formula for carbon intensity evolution and a modified carbon emission flow (CEF) to measure and monitor the IDCs' indirect carbon emissions. The economic viability and carbon-reducing potential of this proposed method are highlighted through various case studies. © 2023 IEEE.

Original language	English
Title of host publication	IEEE 2023 International Conference on Energy Technologies for Future Grids (IEEE ETFG 2023)
Publisher	IEEE
ISBN (Electronic)	978-1-6654-7164-0
DOIs	https://doi.org/10.1109/ETFG55873.2023.10408233
Publication status	Published - Dec 2023
Externally published	Yes
Event	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 - Wollongong, Australia Duration: 3 Dec 2023 → 6 Dec 2023

Publication series

Name	IEEE International Conference on Energy Technologies for Future Grids, ETFG

Conference

Conference	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Place	Australia
City	Wollongong
Period	3/12/23 → 6/12/23

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 13 Climate Action
SDG 17 Partnerships for the Goals

Research Keywords

carbon emission flow
green computation
Internet data center
spatial and temporal load regulation

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10.1109/ETFG55873.2023.10408233

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Cite this

Tong, W., Qiu, J., Tao, Y., Lai, S., & Mao, R. J. (2023). Energy Storage System and Renewable Energy Planning for Green Internet Data Center Considering Temporal and Spatial Load Regulation. In IEEE 2023 International Conference on Energy Technologies for Future Grids (IEEE ETFG 2023) (IEEE International Conference on Energy Technologies for Future Grids, ETFG ). IEEE. https://doi.org/10.1109/ETFG55873.2023.10408233

@inproceedings{060bc687e11e4bcaaeb5dff22fca9168,

title = "Energy Storage System and Renewable Energy Planning for Green Internet Data Center Considering Temporal and Spatial Load Regulation",

abstract = "Given the growing concerns over environmental issues such as greenhouse gas emissions, the idea of sustainable development has gained traction. As the computational load in Internet Data Centers (IDCs) continues to increase, they have become a new type of electricity load in the power sector. Yet, if IDCs operate on an electricity grid powered primarily by fossil fuels, they indirectly contribute to carbon emissions, especially if the energy is sourced from thermal generators. This article suggests a combined approach of battery energy storage systems (BESS) and renewable energy planning that emphasizes both spatial and temporal load adjustments to promote eco-friendly computation in IDCs. This planning framework integrates renewable energy sources and BESS to cut down on carbon emissions. The IDC's load management, both in terms of space and time, is tailored to complement the renewable energy and BESS. We introduce a formula for carbon intensity evolution and a modified carbon emission flow (CEF) to measure and monitor the IDCs' indirect carbon emissions. The economic viability and carbon-reducing potential of this proposed method are highlighted through various case studies. {\textcopyright} 2023 IEEE.",

keywords = "carbon emission flow, green computation, Internet data center, spatial and temporal load regulation",

author = "Wan Tong and Jing Qiu and Yuechuan Tao and Shuying Lai and Mao, \{Ren Jie\}",

year = "2023",

month = dec,

doi = "10.1109/ETFG55873.2023.10408233",

language = "English",

series = "IEEE International Conference on Energy Technologies for Future Grids, ETFG ",

publisher = "IEEE",

booktitle = "IEEE 2023 International Conference on Energy Technologies for Future Grids (IEEE ETFG 2023)",

address = "United States",

note = "2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 ; Conference date: 03-12-2023 Through 06-12-2023",

}

Tong, W, Qiu, J, Tao, Y, Lai, S & Mao, RJ 2023, Energy Storage System and Renewable Energy Planning for Green Internet Data Center Considering Temporal and Spatial Load Regulation. in IEEE 2023 International Conference on Energy Technologies for Future Grids (IEEE ETFG 2023). IEEE International Conference on Energy Technologies for Future Grids, ETFG , IEEE, 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Wollongong, Australia, 3/12/23. https://doi.org/10.1109/ETFG55873.2023.10408233

Energy Storage System and Renewable Energy Planning for Green Internet Data Center Considering Temporal and Spatial Load Regulation. / Tong, Wan; Qiu, Jing; Tao, Yuechuan et al.
IEEE 2023 International Conference on Energy Technologies for Future Grids (IEEE ETFG 2023). IEEE, 2023. (IEEE International Conference on Energy Technologies for Future Grids, ETFG ).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Energy Storage System and Renewable Energy Planning for Green Internet Data Center Considering Temporal and Spatial Load Regulation

AU - Tong, Wan

AU - Qiu, Jing

AU - Tao, Yuechuan

AU - Lai, Shuying

AU - Mao, Ren Jie

PY - 2023/12

Y1 - 2023/12

N2 - Given the growing concerns over environmental issues such as greenhouse gas emissions, the idea of sustainable development has gained traction. As the computational load in Internet Data Centers (IDCs) continues to increase, they have become a new type of electricity load in the power sector. Yet, if IDCs operate on an electricity grid powered primarily by fossil fuels, they indirectly contribute to carbon emissions, especially if the energy is sourced from thermal generators. This article suggests a combined approach of battery energy storage systems (BESS) and renewable energy planning that emphasizes both spatial and temporal load adjustments to promote eco-friendly computation in IDCs. This planning framework integrates renewable energy sources and BESS to cut down on carbon emissions. The IDC's load management, both in terms of space and time, is tailored to complement the renewable energy and BESS. We introduce a formula for carbon intensity evolution and a modified carbon emission flow (CEF) to measure and monitor the IDCs' indirect carbon emissions. The economic viability and carbon-reducing potential of this proposed method are highlighted through various case studies. © 2023 IEEE.

AB - Given the growing concerns over environmental issues such as greenhouse gas emissions, the idea of sustainable development has gained traction. As the computational load in Internet Data Centers (IDCs) continues to increase, they have become a new type of electricity load in the power sector. Yet, if IDCs operate on an electricity grid powered primarily by fossil fuels, they indirectly contribute to carbon emissions, especially if the energy is sourced from thermal generators. This article suggests a combined approach of battery energy storage systems (BESS) and renewable energy planning that emphasizes both spatial and temporal load adjustments to promote eco-friendly computation in IDCs. This planning framework integrates renewable energy sources and BESS to cut down on carbon emissions. The IDC's load management, both in terms of space and time, is tailored to complement the renewable energy and BESS. We introduce a formula for carbon intensity evolution and a modified carbon emission flow (CEF) to measure and monitor the IDCs' indirect carbon emissions. The economic viability and carbon-reducing potential of this proposed method are highlighted through various case studies. © 2023 IEEE.

KW - carbon emission flow

KW - green computation

KW - Internet data center

KW - spatial and temporal load regulation

UR - https://www.scopus.com/pages/publications/85185818012

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85185818012&origin=recordpage

U2 - 10.1109/ETFG55873.2023.10408233

DO - 10.1109/ETFG55873.2023.10408233

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - IEEE International Conference on Energy Technologies for Future Grids, ETFG

BT - IEEE 2023 International Conference on Energy Technologies for Future Grids (IEEE ETFG 2023)

PB - IEEE

T2 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Y2 - 3 December 2023 through 6 December 2023

ER -

Tong W, Qiu J, Tao Y, Lai S, Mao RJ. Energy Storage System and Renewable Energy Planning for Green Internet Data Center Considering Temporal and Spatial Load Regulation. In IEEE 2023 International Conference on Energy Technologies for Future Grids (IEEE ETFG 2023). IEEE. 2023. (IEEE International Conference on Energy Technologies for Future Grids, ETFG ). doi: 10.1109/ETFG55873.2023.10408233

Energy Storage System and Renewable Energy Planning for Green Internet Data Center Considering Temporal and Spatial Load Regulation

Abstract

Publication series

Conference

UN SDGs

Research Keywords

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