基于物联网技术的智能制冷设备,降低能耗

Kyriakos Koritsoglou, Maria S. Papadopoulou, A. Boursianis, P. Sarigiannidis, S. Nikolaidis, S. Goudos
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引用次数: 1

摘要

在发达国家,活跃在食品零售行业的公司消耗了冷却所需总电力的20%左右,因此是仅次于工业的能源足迹最大的公司之一。出于这个原因,制冷设备制造商越来越关注将减少其有效运行所需的功耗的方法。目前实施的解决方案主要集中在冷冻机组开发阶段的干预措施(更好的绝缘,变频压缩机等),然而,这并不能充分解决问题。本文介绍了一种基于物联网的技术设备的开发,该设备使用机器学习技术,旨在降低制冷设备的功耗,进而降低食品零售商的能源足迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Refrigeration Equipment based on IoT Technology for Reducing Power Consumption
In developed countries, companies active in the food retail sector consume about 20% of the total power required for cooling and are therefore ranked among them with the largest energy footprint after the industries. For this reason, refrigeration equipment manufacturers are increasingly focusing on methods that will reduce the power consumption required for its efficient operation. The solutions that are currently implemented mainly focus on interventions in the development phase of freezer units (better insulation, variable frequency compressors, etc.), which, however, do not adequately address the problem. This paper presents the development of an IoT-based technology device which, using machine learning techniques, aims to reduce the power consumption of refrigeration equipment and consecutively, the energy footprint of food retailers.
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