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首页> 外文期刊>International Journal of Refrigeration >Ice-cream storage energy efficiency with model predictive control of a refrigeration system coupled to a PCM tank
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Ice-cream storage energy efficiency with model predictive control of a refrigeration system coupled to a PCM tank

机译:带有PCM储罐的制冷系统的模型预测控制的冰淇淋储存能效

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A model predictive controller (MPC) was developed in order to optimise energy management of an ice-cream warehouse refrigeration system coupled to a phase-change material (PCM) tank. The controller's internal model was based on a steady-state refrigeration cycle model and energy balances on the PCM tank and warehouse. Considering crystal growth in ice-Cream, the quality evolution was based on Ostwald ripening equation. The product temperature field was determined by a 1-D finite difference equation. An original PCM model was developed for better performance of Levenberg-Marquardt's optimisation algorithm which was modified in order to take into account control variables' bounds. Simulation of the ice-cream storage for a period of 90 days lead to good results on the optimised control sequence with efficient energy management thanks to the PCM tank. Ice crystals size remained below the defined target: 26 gm. This study showed the great potential of MPC to reduce energy consumption and guarantee food quality. (C) 2014 Elsevier Ltd and IIR. All rights reserved.
机译:开发了模型预测控制器(MPC),以优化与相变材料(PCM)储罐耦合的冰淇淋仓库制冷系统的能量管理。控制器的内部模型基于稳态制冷循环模型以及PCM储罐和仓库的能量平衡。考虑到冰激凌中晶体的生长,质量演化基于奥斯特瓦尔德成熟方程。产物温度场由一维有限差分方程确定。为了改善Levenberg-Marquardt优化算法的性能,开发了原始的PCM模型,并对其进行了修改,以考虑控制变量的范围。借助PCM储罐,可将冰淇淋存储模拟90天,从而在优化的控制顺序上获得了良好的效果,并进行了有效的能源管理。冰晶尺寸保持在规定的目标以下:26克。这项研究显示了MPC在降低能耗和保证食品质量方面的巨大潜力。 (C)2014 Elsevier Ltd和IIR。版权所有。

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