Simulation of an Automatic Commercial Ice Maker
Haithem Abualasaad Murgham
Automatic commercial ice making machines that produce a batch of cube ice at regular intervals are known as “cubers”. Such machines are commonly used in food service, food preservation, hotel, and health service industries. The machines are typically rated for the weight of ice produced over a 24 hour period at ambient air temperatures of 90 °F and water inlet temperature of 70 °F. These cubers typically utilize an air-cooled, vapor-compression cycle to freeze circulating water flowing over an evaporator grid. Once a sufficient amount ice is formed, a valve switches to enable a harvest mode. The U.S. Department of Energy has set a target of reducing energy usage by 10 - 15% by 2018. Engineering models are not publicly available to assist designers in achieving the new energy regulations. This work presents an engineering simulation model that addresses this need. This model simulates the transient operation of a cuber ice machine based on fundamental principles and generalized correlations. The model calculates time-varying changes in the system properties and aggregates performance results as a function of machine capacity and environmental conditions. Rapid “what if” analyses can be readily completed, enabling engineers to quickly evaluate the impact of a variety of system design options. Simulation results from the model were compared with the experimental data of a fully instrumented, standard 500 lb capacity ice machine, operating under various ambient air and water inlet temperatures. Key aggregate measures of the ice machine’s performance are: 1) cycle time (duration of freeze plus harvest cycles), 2) energy input per 100 lb of ice, and 3) energy usage during 24 hours. For these measures, the model’s accuracy is within 5% for a variety of operating conditions.
Graduate Research - Graduate
David H Myszka
Primary Advisor's Department
Mechanical and Aerospace Engineering
Stander Symposium poster
"Simulation of an Automatic Commercial Ice Maker" (2017). Stander Symposium Posters. 847.