Abstract
Charge inventory, the accounting of the distributed fluid mass in closed systems, is necessary to predict system performance at different environmental conditions for a given charge. Public domain simulation models used to predict unitary equipment performance are currently unable to accurately determine charge inventory. Sources of error in these models include incomplete internal volume accounting, neglected refrigerant-oil diffusion effects, and void fraction modeling assumptions. The results presented here suggest that the most important charge inventory issue is proper void fraction determination. The Baroczy void fraction correlation gave the best agreement with measured data for three unitary air conditioners. As the condenser holds by far the largest percentage of the total charge, accurate prediction of heat transfer and pressure drop in the condenser was found to be necessary for charge inventory modeling.
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