A Sustainability Improvement Strategy of Interconnected Data Centers Based on Dispatching Potential of Electric Vehicle Charging Stations

Xihao Wang, Xiaojun Wang, Yuqing Liu, Chun Xiao, Rongsheng Zhao, Ye Yang and Zhao Liu
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Xihao Wang: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Xiaojun Wang: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Yuqing Liu: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Chun Xiao: State Grid Shanxi Marketing Service Center, Taiyuan 030032, China
Rongsheng Zhao: State Grid Electric Vehicle Service Company, Ltd., Beijing 100052, China
Ye Yang: State Grid Electric Vehicle Service Company, Ltd., Beijing 100052, China
Zhao Liu: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China

Sustainability, 2022, vol. 14, issue 11, 1-19

Abstract: With the rapid development of information technology, the electricity consumption of Internet Data Centers (IDCs) increases drastically, resulting in considerable carbon emissions that need to be reduced urgently. In addition to the introduction of Renewable Energy Sources (RES), the joint use of the spatial migration capacity of IDC workload and the temporal flexibility of the demand of Electric Vehicle Charging Stations (EVCSs) provides an important means to change the carbon footprint of the IDC. In this paper, a sustainability improvement strategy for the IDC carbon emission reduction was developed by coordinating the spatial-temporal dispatch flexibilities of the IDC workload and the EVCS demand. Based on the Minkowski sum algorithm, a generalized flexible load model of the EVCSs, considering traffic flow and Road Impedance (RI) was formulated. The case studies show that the proposed method can effectively increase the renewable energy consumption, reduce the overall carbon emissions of multi-IDCs, reduce the energy cost of the DCO, and utilize the EV dispatching potential. Discussions are also provided on the relationship between workload processing time delay and the renewable energy consumption rate.

Keywords: internet data center; carbon emission reduction; workload migration; electric vehicle charging station; dispatching potential; Minkowski sum; process time delay (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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