Investigation of Cooling Systems Faults, Control and Management Models

Fatma Nur Erdoğmuş, Melis Öder, Ahmet Berk Ezber, Oktay Kalkan
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Abstract

With the rapid increase in population in the world, people's demands for chilled and frozen foods are also increasing. The healthy and energy efficient cold storage of foods has become an important issue. In this context, studies on the efficiency and performance of energy management models including automatic control techniques on cooling systems have been investigated in recent years. The purpose of this study is to give information about faults, traceable energy management models and control systems in the perspective of cooling systems. Maintenance of cooling systems, malfunctions and their late detection cause time and cost problems. The decrease in the performance of the cooling system or the occurrence of malfunctions cause economic costs as well as energy consumption. Controlling the changes in pressure, temperature and electricity consumption values ​​in cooling systems and comparing them with standard operating conditions is one of the methods used for fault detection. Faults that may occur in cooling systems; compressor, condenser, evaporator, expansion element and fan failures, thermal failures, phase protection relay failures, under/over refrigerant charge, probe failures, night curtain electric motor failure, condenser-evaporator surface pollution. Errors and malfunctions occurring in the cycle cause the parameters under normal operating conditions and accordingly the cooling performance coefficient to change. Traceable energy management models are needed to detect faults and prevent them in a short time. With the design and implementation of these models, long-term damage to the system is prevented by reducing energy, maintenance and repair costs. In the design of traceable energy management models and control systems for cooling systems; set point and management, alarm notification and management, designing algorithms with precise temperature control will provide energy efficiency.
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冷却系统故障、控制和管理模型的研究
随着世界人口的快速增长,人们对冷藏和冷冻食品的需求也在不断增加。食品的健康和节能冷藏已成为一个重要的问题。在此背景下,近年来对包括冷却系统自动控制技术在内的能源管理模型的效率和性能进行了研究。本研究的目的是在冷却系统的角度提供有关故障、可追溯能源管理模型和控制系统的信息。冷却系统的维护、故障和后期检测会造成时间和成本问题。冷却系统性能的下降或故障的发生会造成经济成本和能源消耗。控制冷却系统的压力、温度和电力消耗值的变化,并将其与标准运行条件进行比较,是故障检测的方法之一。冷却系统可能出现的故障;压缩机、冷凝器、蒸发器、膨胀元件和风扇故障、热故障、相保护继电器故障、制冷剂充注不足/过满、探头故障、夜帘电动机故障、冷凝器-蒸发器表面污染。循环中出现的错误和故障会导致正常运行条件下的参数发生变化,从而导致冷却性能系数发生变化。可追溯的能量管理模型需要在短时间内发现故障并预防故障。通过这些模型的设计和实现,通过降低能源、维护和维修成本,可以防止对系统的长期损害。在冷却系统可追溯能量管理模型和控制系统的设计中;设定点和管理,报警通知和管理,设计算法具有精确的温度控制,将提供能源效率。
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