| 논문명 |
몬테카를로 방법을 이용한 공동주택 환기 전략의 불확실성 분석 / Uncertainty Analysis of Ventilation Strategies in Residential Apartment Buildings |
| 저자명 |
김영진 (Kim Young-Jin) ; 박철수(Park Cheol-Soo) |
| 수록사항 |
대한건축학회논문집 계획계, v.24 n.8 (2008-08) |
| 주제어 |
환기 ; 불확실성 ; 공동주택 ; 제어전략 ; 몬테카를로 ; Ventilation ; Uncertainty ; Apartment Buildings ; Control Strategies ; Monte Carlo |
| 요약2 |
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. |
