| Title |
Uncertainty Analysis of Ventilation Strategies in Residential Apartment Buildings |
| Authors |
Kim Young-Jin ; Park Cheol-Soo |
| Keywords |
Ventilation ; Uncertainty ; Apartment Buildings ; Control Strategies ; Monte Carlo |
| Abstract |
This study compares 8 ventilation strategies in a typical apartment floor plan in Jeju, Korea. The chosen building is typical of residential buildings in terms of size and floor plan, consisting of three bedrooms, a living room and a kitchen. In the study, uncertainty propagation is introduced to treat the parameters which are not 'deterministic' but 'probabilistic' such as stochastic nature of weather, occupant's behaviour, building components, simulation parameters, etc. The range of such parameters is identified through the literature and on-site visits. The Latin Hypercube Sampling (LHS) method, one of the Monte Carlo techniques, was employed for uncertainty propagation. For the simulation of ventilation phenomena, CONTAMW2.4 was selected. The 8 ventilation strategies (CAV, DCV-CO2) are assessed in terms of initial cost, energy cost, comfort level (PD) and CO2 concentration over each zone. As expected it was found that DCV-CO2 saves about 50% energy compared to CAV. |