1.中铁信大数据科技有限公司;2.复旦大学
TM732
中国国家铁路集团有限公司科研项目专项资金主数据中心基础设施运营优化关键技术研究（N2023S011）
1.China Railway Information Data Technology Co., Ltd;2.Fudan University
随着数据中心产业的快速发展,实现低能耗和低成本变得至关重要,数据中心综合能源系统(DC-IES)规划中的合理能源配置与调度已成为一项巨大的挑战。本研究利用多能耦合调度技术,设计了一种数据中心综合能源系统。以数据中心经济成本为优化目标,建立了数据中心综合能源系统运行模型,采用两阶段优化方法进行各能源设备容量以及源网荷储一体化调度策略优化,提高能源利用效率。以某铁路数据中心为例验证了该模型的有效性,所构建的数据中心综合能源系统,费用年值节约率达20.10%,二氧化碳减排量为2590t。
With the rapid development of the data center industry, achieving low energy consumption and low costs has become crucial. Rational energy configuration and scheduling in Data Center Integrated Energy Systems (DC-IES) have emerged as significant challenges. This study utilizes multi-energy coupling scheduling technology to design an integrated energy system for data centers. With the economic costs of data centers as optimization objectives, an operational model for the DC-IES was established. A two-stage optimization method was utilized to optimize both the capacities of various devices and the scheduling strategy for the integration of source-grid-load-storage operations, thus enhancing energy utilization efficiency. The effectiveness of the model was verified using a railway data center as a case study. The constructed DC-IES achieved an annual cost savings rate of 20.10% and a reduction in carbon dioxide emissions of 2,590 t.
