基于相变材料的冷能存储系统的高效仿真策略
Efficient simulation strategy for PCM-based cold-energy storage systems
AI总结：
本文提出一种计算高效的仿真策略，用于基于相变材料的冷能存储系统，将仿真时间大幅缩短至原来的1/30至1/120，同时保持可接受的充注率精度，以支持长期能源管理。
摘要：
本文提出了一种针对基于相变材料（PCM）的冷热能存储（TES）系统的计算高效仿真策略。以近期设计的、旨在补充蒸汽压缩制冷装置的基于PCM的TES系统为出发点，本文描述了这种新的高效建模策略，并将其性能与原有策略进行了比较。需要一种新的计算高效方法的原因是，在不久的将来，这种TES模型将与该制冷母厂的模型结合使用，以解决长期高效能源管理策略的问题，届时计算时间将成为主要问题。对比仿真表明，所提出的计算高效策略将仿真时间减少到原始时间的一小部分（根据主采样间隔的具体选择，约为原来的1/30至1/120），但代价是PCM充注率方面的误差在可接受范围内。
英文摘要：
This paper proposes a computationally efficient simulation strategy for cold thermal energy storage (TES) systems based on phase change material (PCM). Taking as a starting point the recent design of a TES system based on PCM, designed to complement a vapour-compression refrigeration plant, the new highly efficient modelling strategy is described and its performance is compared against the pre-existing one. The need for a new computationally efficient approach comes from the fact that, in the near future, such a TES model is intended to be used in combination with the model of the own mother refrigeration plant, in order to address efficient, long-term energy management strategies, where computation time will become a major issue. Comparative simulations show that the proposed computationally efficient strategy reduces the simulation time to a small fraction of the original figure (from around 1/30th till around 1/120th, depending on the particular choice of the main sampling interval), at the expense of affordable inaccuracy in terms of the PCM charge ratio.
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