Dehumidifier Coils a special type of coil which could adjust the chilled water flow rate and the chilled water temperature independently. In this study, a particle swarm optimization based method is proposed to optimize the chilled water flow rate and the chilled water temperature. A test HVAC system with DCCC is constructed in laboratory firstly.
The system is modeled by first principles, including a coil model, a heater model and a humidifier model. The parameters of the models are calibrated using measurements from the real system.
Results show that the simulated data fit the experimental data very well. The real-time optimal parameters for controlling the DCCC are obtained using the PSO-based method.
The energy performance of the PSO-based method is analyzed. The most significant energy saving potentials could be obtained with energy saving potentials above 60% under high-sensible heat loads and low-latent heat loads.
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