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首页> 外文期刊>Progress in Artificial Intelligence >Degradation Cost Analysis of Li-Ion Batteries in the Capacity Market with Different Degradation Models
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Degradation Cost Analysis of Li-Ion Batteries in the Capacity Market with Different Degradation Models

机译:不同退化模型能力市场中锂离子电池的降解成本分析

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Increased deployment of intermittent renewable energy plants raises concerns about energy security and energy affordability. Capacity markets (CMs) have been implemented to provide investment stability to generators and secure energy generation by reducing the number of shortage hours. The research presented in this paper contributes to answering the question of whether batteries can provide cost effective back up services for one year in this market. The analysis uses an equivalent circuit lithium ion battery model coupled with two degradation models (empirical and semi-empirical) to account for capacity fade during battery lifetime. Depending on the battery's output power, four de-rating factors of 0.5 h, 1 h, 2 h and 4 h are considered to study which de-rating strategy can result in best economic profit. Two scenarios for the number of shortage hours per year in the CM are predicted based on the energy demand data of Great Britain and recent research. Results show that the estimated battery profit is maximum with 2 h and 1 h de-rating factors and minimum with 4 h and 0.5 h. Depending on the battery degradation model used, battery degradation cost can considerably impact the potential profit if the battery's temperature is not controlled with adequate thermal management system. The empirical and semi-empirical models predict that the degradation cost is minimum at 5 degrees C and 25 degrees C respectively. Moreover, both models predict degradation is minimum at lower battery charge levels. While the battery's capacity fade can be minimized to make some profits from the CM service, the increased shortage hours can make providing this service not economically viable.
机译:增加的间歇性可再生能源厂的部署提出了对能源安全和能量负担能力的担忧。已经实施了能力市场(CMS),为发电机提供投资稳定性,通过减少短缺时间的数量来提供能量产生。本文提出的研究有助于回答该市场是否能够在本市市场提供一年内能够提供成本有效的备份服务的问题。该分析采用了一种等效电路锂离子电池模型,其与两个劣化模型(经验和半经验)相结合,以考虑电池寿命期间的容量淡出。根据电池的输出功率,40.5小时,1小时,2小时和4小时的四个排放因子被认为是研究哪种排名策略可能导致最佳的经济利润。基于英国的能量需求数据和最近的研究,预计厘米每年每年每年缺乏两种情况。结果表明,估计的电池利润最大值为2小时,1小时率为1小时,最小值为4小时和0.5小时。根据所用的电池劣化模型,如果电池的温度不控制充足的热管理系统,电池劣化成本可能会显着影响潜在的利润。经验和半经验模型预测降低成本分别为5摄氏度和25℃。此外,两种模型在较低的电池充电水平下预测降低是最小的。虽然可以最小化电池的容量衰落,以便从CM服务中获取一些利润,但缺少时间的增加可以使这项服务在经济上可行。

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