Energy optimization strategy for data center electrothermal coupling system based on task scheduling
Xin Quan Lai, Wen Bing Lu, Z. Feng · IET conference proceedings. · 2023
With technologies such as 5G, AI and IoT developing, the DC industry has ushered in a new round of development and challenges. However, high power consumption has brought huge operating costs and environmental pressure to data center enterprises. How to reduce operating costs and environmental impact has become a key challenge for data center enterprises in the next step. This article proposes a framework for the management of electric heating energy within a data center microgrid, which achieves joint optimization scheduling and energy management of the power and thermal systems within the microgrid through load distribution in the data center. The numerical results demonstrate that the model established in this article effectively reduces system operating costs and reduces the use of fossil fuels.