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Improving Demand Response Potential of a Supermarket Refrigeration System: A Food Temperature Estimation Approach

机译:改善超市制冷系统的需求响应潜力:一种食品温度估算方法

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摘要

In a smart grid, the load shifting capabilities of demand-side devices such as supermarkets are of high interest. In supermarkets, this potential is represented by the ability to store energy in the thermal mass of refrigerated foodstuff. To harness the full load shifting potential, we propose a method for estimating food temperature based on measurements of evaporator expansion valve opening degree. This method requires no additional hardware or system modeling. We demonstrate the estimation method on a real supermarket display case, and the applicability of knowing food temperature is shown through tests on a full-scale supermarket refrigeration system made available by Danfoss A/S. The conducted application test shows that feedback based on food temperature can increase the demand flexibility during a step by approximately 60% the first 70 min and up to 100% over the first 150 min, thereby strengthening the demand response potential of supermarket refrigeration systems.
机译:在智能电网中,诸如超级市场之类的需求方设备的负载转移能力备受关注。在超级市场中,这种潜力通过在冷藏食品的热量中存储能量的能力来体现。为了充分利用满负荷转移的潜力,我们提出了一种基于蒸发器膨胀阀开度测量值估算食物温度的方法。此方法不需要其他硬件或系统建模。我们在一个实际的超市展示柜上演示了估算方法,并通过在丹佛斯A / S提供的大型超市制冷系统上进行的测试来证明了解食物温度的适用性。进行的应用测试表明,基于食物温度的反馈可以在一个步骤的前70分钟内将需求灵活性提高大约60%,而在前150分钟内可以提高100%,从而增强了超市制冷系统的需求响应潜力。

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