| Title |
Calibration of a Nodal Flow Network Simulation Model |
| Authors |
Kim Young-Jin ; Park Cheol-Soo |
| Keywords |
Ventilation ; Simulation ; Calibration ; Parameter Estimation ; Unknown Parameter |
| Abstract |
The nodal flow network simulation tools have been widely used for design and performance assessment of ventilation systems (mechanical, hybrid) and buildings. The simulation outputs from the tools might be influenced by unknown parameters (simulation parameters [flow exponent, flow coefficient, local terrain coefficient, etc.], leakage area of doors and windows, CO2 source strength by occupants, stochastic nature of weather, occupants' behavior, building components, operation of diffusers/grilles, fan efficiency, etc.). A series of experiments were conducted for a hybrid ventilation system in a residential apartment and compared with the CONTAMW simulation results. It was found that there is a significant gap between simulation prediction and measurements. With this in mind, the paper reports a calibration process of a nodal flow network simulation model for the hybrid ventilation system. It was shown that the ventilation simulation can be influenced by unknown parameters and the calibrated model can predict the ventilation phenomena accurately. |