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数据中心综合能源系统的容量-运行两阶段优化研究
Study on Capacity-Operation Two-Stage Optimization of Data Center Integrated Energy System
【摘要】 为应对数据中心的能耗及碳排放量显著增加的情况,在全球推进净零排放的大背景下,建立数据中心综合能源系统(Data Center Integrated Energy System, DC-IES)已成为实现数据中心节能减排的重要途径之一。基于此,建立了一种耦合可再生能源、燃气轮机、电制冷机组和吸收式制冷机组的IES系统,提出一种基于NSGA-Ⅱ的两阶段优化方法。第一阶段以考虑碳税在内的年经济成本最低为目标,确定最优设备容量;第二阶段则为直观反映各设备随负荷变化的出力响应,以典型日运行成本和碳排放量最低为双目标进行运行优化。研究结果表明:DC-IES系统中光伏和风电的总出力为24 470.36 kW,相当于燃气轮机发电量的103.78%,承担了电负荷的33.01%;优化方案下,全年运行成本较以碳排放量为单目标的优化结果降低了1.3%,约37.45万元,碳排放量较以运行成本为单目标的优化结果减少3.5%,约305.48 t,有效降低了电网购电量及碳排放量,证明了所提方法在经济性和低碳性方面的优越性。
【Abstract】 In order to cope with the significant increase of energy consumption and carbon emissions in data centers, the establishment of data center integrated energy system(DC-IES) has become one of the important ways to save energy and reduce emissions in data centers under the global background of net-zero emissions. Based on this, an IES system coupling renewable energy, gas turbine, electric refrigeration unit and absorption refrigeration unit was established, a two-phase optimization method based on NSGA-II was put forward. The first phase aimed at the lowest annual economic cost, including the consideration of the carbon tax, to determine the optimal equipment capacity. In the second phase, in order to visualize the output response of each equipment with load change, the operation optimization was conducted with the dual objectives of lowest typical daily operating cost and carbon emission. The results indicate that total PV and wind power output of the DC-IES system is 24 470.36 kW, which represents 103.78% of the gas turbine power generation and 33.01% of the electric load; in the optimized scheme, the annual operating cost reduces by 1.3%, i.e., about 374.5 thousand yuan, compared with the optimized result with the carbon emission as single-objective; the carbon emission reduces by 3.5%, i.e., about 305.48 t, compared with the optimized result with the operation cost as single-objective, which effectively reduces the amount of power purchased from the grid and carbon emissions, proving the superiority of the proposed method in terms of economy and low carbon.
【Key words】 data center integrated energy system(DC-IES); capacity optimization; operational optimization; genetic optimization algorithm;
- 【文献出处】 热能动力工程 ,Journal of Engineering for Thermal Energy and Power , 编辑部邮箱 ,2025年08期
- 【分类号】TP308;TM73;TK01
- 【下载频次】65