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NUMERICAL EVALUATION OF ENERGY CONSUMPTION AND INDOOR ENVIRONMENT IN SUBWAY ISLAND PLATFORM WITH DCV SYSTEM

This paper established a demand control ventilation (DCV) strategy for subway platform. Firstly, steadystate CFD simulation was carried out to predict the space CO2 distribution in the platform. Secondly, both CO2 control point and base ventilation rate were determined. Then authors developed a DCV dynamic model by control processing simulation. The simulation results show that using this ventilation strategy can achieve an acceptable indoor air quality. Additionally, comparing with the conventional CAV system and VAV system, this strategy can save about 30.16% and 8.21% of the annual energy consumption, respectively.