CFD-Based Numerical Method for Temperature Set-Point Commissioning and PMV Assessment of Occupied Individual Air-Conditioning Zone
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Traditional air-conditioning control system assumes indoor air temperature to be uniformly distributed. However, indoor air is often not completely well-mixed. The air temperature and speed data obtained from sensors cannot represent thermal state of the whole room. This paper aims to investigate real thermal perception of the occupants in an air-conditioned office model. A Computational Fluid Dynamics (CFD) based method is utilised for building modelling. The temperature and air speed calibrations are adopted to offset the temperature and air speed difference between the actual sensors (i.e. temperature and speed sensors) and the virtual sensors (i.e. temperature and speed sensors) located in the occupied zone. Predicted Mean Vote (PMV) method is employed to evaluate the thermal comfort performance under different indoor air conditions. Simulation results show that indoor thermal comfort performance in a specified office model is well improved by calibrating the differences between the actual and virtual temperature sensors.
KeywordsComputational fluid dynamics Control commissioning Predicted mean vote Air-conditioning Temperature setpoint
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