Optimization of Anti-Condensation Control Strategy of Radiant Cooling System Based on Dew Point and Pre-Dehumidification Startup Time Prediction

Abstract

During the start-up stage of the radiant refrigeration and air conditioning system, the radiant panel will condense because it indicates that the temperature is lower than the indoor dew point temperature. This paper addresses this problem by studying the temperature and humidity independent control (THIC) system of an office building in Shenzhen. RBF neural network was used to establish the prediction model of radiant panel surface temperature, and the optimal pre-dehumidification time was determined. In order to solve the risk of condensation caused by the change of indoor wet load during system operation, a variable air volume control strategy based on dew point temperature prediction was proposed. Six input variables were used as input variables to predict the model, and the model was trained and validated using TRNSYS simulation data. The effectiveness of the proposed VAV control strategy was evaluated in terms of anti-condensation effect and indoor thermal comfort. Results show that the variable air volume control strategy based on dew point temperature prediction can reduce the risk of radiation condensation and improve indoor thermal comfort. In conclusion, this study provides an effective method to eliminate the risk of condensation during the start-up of a radiant air conditioning system.

Keywords: Radiant refrigeration air-conditioning, Anti-condensation, HVAC, THIC