基于跨临界CO2循环的卡诺电池系统设计及参数优化

Design and parameter optimization of Carnot battery system based on transcritical CO2 cycle

  • 摘要: 卡诺电池是一种新型的大规模储能技术,具有储能时间长、成本低、不受地理条件限制的优点。本文建立了基于跨临界CO2循环的卡诺电池系统,以往返效率χ、设备总投资成本Ctot和平准化储能成本LCOS为评价指标,分析了设计参数对系统性能的影响规律。结果表明:压缩机(工质泵)进出口压力对系统性能的影响显著,降低压缩机进口压力或提高压缩机出口压力都可以显著提高系统的往返效率,降低平准化储能成本;储热温度对系统往返效率的影响较为特殊,随着储热温度的提高,往返效率χ先减小后增大。基于卡诺电池数学模型和非支配排序遗传算法(NSGA-Ⅱ),对系统进行多目标优化,并采用多准则决策方法,得到了多种决策偏好下的系统最优解,为不同场景下卡诺电池系统设计和参数优化提供理论指导。

     

    Abstract: Carnot battery is a new type of large-scale energy storage technology, which has the advantages of long storage time, low cost and not limited by geographical conditions. In this paper, a Carnot battery system based on transcritical CO2 cycle was established, and the influence of design parameters on the system performance was analyzed by using round-trip efficiency χ, total equipment investment cost Ctot and LCOS as evaluation indexes. The results show that the inlet and outlet pressure of the compressor(pump) has a significant impact on the system performance. Reducing the inlet pressure of the compressor or increasing the outlet pressure of the compressor can significantly improve the round-trip efficiency of the system and reduce the LCOS. The heat storage temperature has a special effect on the round-trip efficiency of the system. With the increase of the heat storage temperature, the round-trip efficiency χ decreases first and then increases. Based on the Carnot cell mathematical model and non-dominated sorting genetic algorithm (NSGA-Ⅱ), multi-objective optimization of the system was carried out, and the multi-criteria decision-making method was used to obtain the optimal solution of the system under multiple decision preferences, which provided theoretical guidance for the design and parameter optimization of the Carnot cell system under different scenarios.

     

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