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
N1 - Publisher Copyright:
© 2021 IEEE.
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 -
