热能储存容器原型的制造、建模和测试

Jeffrey Gifford, P. Davenport, Xingchao Wang, Zhiwen Ma
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引用次数: 0

摘要

要提高可再生能源的普及率,就必须在不同时间段部署储能技术。长时间储能(LDES)技术将满足全年稳固可再生能源输出的需求;而锂离子电池在这些时间段内并不经济。热能储存(TES)因其选址灵活、易于扩展,是一种很有前景的 LDES 应用技术。基于颗粒的 TES 系统使用低成本的固体颗粒,其温度极限高于传统聚光太阳能系统中使用的熔盐。粒子式热电联供系统的一个关键部件是高温(> 1100 °C)粒子的密封筒仓。本研究结合实验测试和计算建模方法,设计并表征了用于 LDES 应用的粒子容纳仓的性能。建立了实验室规模的筒仓原型,并验证了同向瞬态有限元分析模型。然后使用验证过的模型对商业规模筒仓的性能进行了鉴定。商业规模的模型预测,在设计储存温度为 1200 °C 的情况下,储存五天后的储存效率超过 95%。同时还考虑了保温材料和混凝土的温度限制。该方法的验证意味着有限元分析模型可以模拟未来应用的各种情况。这项工作支持了前景广阔的 LDES 技术的发展,不仅对电网规模的电能存储具有重要意义,而且对工业过程加热应用的热能存储也具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fabrication, modeling, and testing of a prototype thermal energy storage containment
Increasing penetration of variable renewable energy resources requires the deployment of energy storage at a range of durations. Long-duration energy storage (LDES) technologies will fulfill the need to firm variable renewable energy resource output year-round; lithium-ion batteries are uneconomical at these durations. Thermal energy storage (TES) is one promising technology for LDES applications because of its siting flexibility and ease of scaling. Particle-based TES systems use low-cost solid particles that have higher temperature limits than the molten salts used in traditional concentrated solar power systems. A key component in particle-based TES systems is the containment silo for the high-temperature (> 1100 °C) particles. This study combined experimental testing and computational modeling methods to design and characterize the performance of a particle containment silo for LDES applications. A laboratory-scale silo prototype was built and validated a congruent transient finite element analysis model. The performance of a commercial-scale silo was then characterized using the validated model. The commercial-scale model predicted a storage efficiency in excess of 95% after five days of storage with a design storage temperature of 1200 °C. Insulation material and concrete temperature limits were considered as well. The validation of the methodology means the FEA model can simulate a range of scenarios for future applications. This work supports the development of a promising LDES technology with implications for grid-scale electrical energy storage, but also for thermal energy storage for industrial process heating applications.
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