Optimal Planning of Internet Data Centers Decarbonized by Hydrogen-Water-Based Energy Systems

Jinhui Liu; Zhanbo Xu; Jiang Wu; Kun Liu; Xunhang Sun; Xiaohong Guan

doi:10.1109/CASE49439.2021.9551571

Optimal Planning of Internet Data Centers Decarbonized by Hydrogen-Water-Based Energy Systems

Jinhui Liu
, Zhanbo Xu
, Jiang Wu
, Kun Liu
, Xunhang Sun
, Xiaohong Guan

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University
Tsinghua University

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

4 Scopus citations

Abstract

The issue caused by increasing energy consumption of internet data centers (IDCs) has received critical attention. Hence, it is important to optimize the energy system of IDCs for energy saving and carbon emissions reduction. In order to explore the utilization of hydrogen in IDCs and the advantages of water cooling system, IDCs decarbonized by hydrogen-water-based energy systems are developed in this paper, which makes full use of both electricity and heating energy generated by fuel cells, and renewable energy. The integrated planning-and-scheduling problem is formulated as a two-stage stochastic mixed-integer programming problem to determine the optimal capacity of energy facilities and operation strategies. The developed IDCs are investigated with energy demand and solar radiation in typical days. It is found the developed IDCs are environmental friendly and cost-effective. The power usage efficiency can be as low as 1.02 and carbon emission reduction can be up to 59.1% when hydrogen price is U.S. department of energy target price 2/kg.

Original language	English
Title of host publication	2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021
Publisher	IEEE Computer Society
Pages	1276-1281
Number of pages	6
ISBN (Electronic)	9781665418737
DOIs	https://doi.org/10.1109/CASE49439.2021.9551571
State	Published - 23 Aug 2021
Event	17th IEEE International Conference on Automation Science and Engineering, CASE 2021 - Lyon, France Duration: 23 Aug 2021 → 27 Aug 2021

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2021-August
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	17th IEEE International Conference on Automation Science and Engineering, CASE 2021
Country/Territory	France
City	Lyon
Period	23/08/21 → 27/08/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/CASE49439.2021.9551571

Cite this

Liu, J., Xu, Z., Wu, J., Liu, K., Sun, X., & Guan, X. (2021). Optimal Planning of Internet Data Centers Decarbonized by Hydrogen-Water-Based Energy Systems. In 2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021 (pp. 1276-1281). (IEEE International Conference on Automation Science and Engineering; Vol. 2021-August). IEEE Computer Society. https://doi.org/10.1109/CASE49439.2021.9551571

@inproceedings{182f824f0c6f4f9590fca6301d311f19,

title = "Optimal Planning of Internet Data Centers Decarbonized by Hydrogen-Water-Based Energy Systems",

abstract = "The issue caused by increasing energy consumption of internet data centers (IDCs) has received critical attention. Hence, it is important to optimize the energy system of IDCs for energy saving and carbon emissions reduction. In order to explore the utilization of hydrogen in IDCs and the advantages of water cooling system, IDCs decarbonized by hydrogen-water-based energy systems are developed in this paper, which makes full use of both electricity and heating energy generated by fuel cells, and renewable energy. The integrated planning-and-scheduling problem is formulated as a two-stage stochastic mixed-integer programming problem to determine the optimal capacity of energy facilities and operation strategies. The developed IDCs are investigated with energy demand and solar radiation in typical days. It is found the developed IDCs are environmental friendly and cost-effective. The power usage efficiency can be as low as 1.02 and carbon emission reduction can be up to 59.1\% when hydrogen price is U.S. department of energy target price 2/kg.",

author = "Jinhui Liu and Zhanbo Xu and Jiang Wu and Kun Liu and Xunhang Sun and Xiaohong Guan",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 17th IEEE International Conference on Automation Science and Engineering, CASE 2021 ; Conference date: 23-08-2021 Through 27-08-2021",

year = "2021",

month = aug,

day = "23",

doi = "10.1109/CASE49439.2021.9551571",

language = "英语",

series = "IEEE International Conference on Automation Science and Engineering",

publisher = "IEEE Computer Society",

pages = "1276--1281",

booktitle = "2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021",

}

Liu, J, Xu, Z , Wu, J , Liu, K, Sun, X & Guan, X 2021, Optimal Planning of Internet Data Centers Decarbonized by Hydrogen-Water-Based Energy Systems. in 2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021. IEEE International Conference on Automation Science and Engineering, vol. 2021-August, IEEE Computer Society, pp. 1276-1281, 17th IEEE International Conference on Automation Science and Engineering, CASE 2021, Lyon, France, 23/08/21. https://doi.org/10.1109/CASE49439.2021.9551571

Optimal Planning of Internet Data Centers Decarbonized by Hydrogen-Water-Based Energy Systems. / Liu, Jinhui; Xu, Zhanbo ; Wu, Jiang et al.
2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021. IEEE Computer Society, 2021. p. 1276-1281 (IEEE International Conference on Automation Science and Engineering; Vol. 2021-August).

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

TY - GEN

T1 - Optimal Planning of Internet Data Centers Decarbonized by Hydrogen-Water-Based Energy Systems

AU - Liu, Jinhui

AU - Xu, Zhanbo

AU - Wu, Jiang

AU - Liu, Kun

AU - Sun, Xunhang

AU - Guan, Xiaohong

PY - 2021/8/23

Y1 - 2021/8/23

N2 - The issue caused by increasing energy consumption of internet data centers (IDCs) has received critical attention. Hence, it is important to optimize the energy system of IDCs for energy saving and carbon emissions reduction. In order to explore the utilization of hydrogen in IDCs and the advantages of water cooling system, IDCs decarbonized by hydrogen-water-based energy systems are developed in this paper, which makes full use of both electricity and heating energy generated by fuel cells, and renewable energy. The integrated planning-and-scheduling problem is formulated as a two-stage stochastic mixed-integer programming problem to determine the optimal capacity of energy facilities and operation strategies. The developed IDCs are investigated with energy demand and solar radiation in typical days. It is found the developed IDCs are environmental friendly and cost-effective. The power usage efficiency can be as low as 1.02 and carbon emission reduction can be up to 59.1% when hydrogen price is U.S. department of energy target price 2/kg.

AB - The issue caused by increasing energy consumption of internet data centers (IDCs) has received critical attention. Hence, it is important to optimize the energy system of IDCs for energy saving and carbon emissions reduction. In order to explore the utilization of hydrogen in IDCs and the advantages of water cooling system, IDCs decarbonized by hydrogen-water-based energy systems are developed in this paper, which makes full use of both electricity and heating energy generated by fuel cells, and renewable energy. The integrated planning-and-scheduling problem is formulated as a two-stage stochastic mixed-integer programming problem to determine the optimal capacity of energy facilities and operation strategies. The developed IDCs are investigated with energy demand and solar radiation in typical days. It is found the developed IDCs are environmental friendly and cost-effective. The power usage efficiency can be as low as 1.02 and carbon emission reduction can be up to 59.1% when hydrogen price is U.S. department of energy target price 2/kg.

UR - https://www.scopus.com/pages/publications/85117000231

U2 - 10.1109/CASE49439.2021.9551571

DO - 10.1109/CASE49439.2021.9551571

M3 - 会议稿件

AN - SCOPUS:85117000231

T3 - IEEE International Conference on Automation Science and Engineering

SP - 1276

EP - 1281

BT - 2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021

PB - IEEE Computer Society

T2 - 17th IEEE International Conference on Automation Science and Engineering, CASE 2021

Y2 - 23 August 2021 through 27 August 2021

ER -

Liu J, Xu Z , Wu J , Liu K, Sun X, Guan X. Optimal Planning of Internet Data Centers Decarbonized by Hydrogen-Water-Based Energy Systems. In 2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021. IEEE Computer Society. 2021. p. 1276-1281. (IEEE International Conference on Automation Science and Engineering). doi: 10.1109/CASE49439.2021.9551571

Optimal Planning of Internet Data Centers Decarbonized by Hydrogen-Water-Based Energy Systems

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this