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ENERGY SAVINGS POTENTIAL USING THE THERMAL INERTIA OF A LOW TEMPERATURE STORAGE

机译:利用低温储能的热惯性节省能量

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摘要

50% of the energy consumed in food cold chain are for chilling, freezing and storage steps. For cold storagernfacilities, refrigeration is the main source of energy consumption with an average of 50 kWh/m3/year. Arnpossible strategy to reduce their energy consumption is to take advantage of the variation of performance ofrnthe refrigeration systems during a day due to external and internal temperature variations. Electricity cost canrnalso widely change during a day, depending on the local production. This strategy can be based on additionalrnstorage capacities to delay the refrigeration running period, but also on the use of the thermal inertiarnprovided by the storage warehouse itself and the products stored. An experimental test has been performed inrna frozen warehouse storage facility to evaluate the potential energy savings of such a strategy. Using coupledrnmodels of the building, products and refrigeration system, using weather forecasts and products fluxrnstatistics, a predictive control algorithm was developed and applied to determine periodically the optimal setpointsrnof the storage warehouse. Technical implementation of the control system is presented. Energyrnsavings potential and impact on products of the temperature fluctuations are also discussed.
机译:食品冷链中消耗的能量的50%用于冷却,冷冻和存储步骤。对于冷库设施,制冷是主要的能源消耗来源,平均每年50千瓦时/立方米。减少其能耗的可行策略是利用由于外部和内部温度变化而导致的一天中制冷系统性能的变化。根据当地生产情况,一天中的电力成本也可能发生很大变化。该策略可以基于额外的存储容量来延迟制冷运行时间,也可以基于存储仓库本身和所存储产品提供的热惯性的使用。已经在冷冻仓库存储设施中进行了实验测试,以评估这种策略的潜在节能效果。利用建筑物,产品和制冷系统的耦合模型,利用天气预报和产品流量统计,开发了一种预测控制算法,并将其应用于定期确定存储仓库的最佳设定点。介绍了控制系统的技术实现。还讨论了节能潜力以及温度波动对产品的影响。

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