Naturally Ventilated Building Design Under Uncertainty using Design of Experiments

Appropriate building design for natural ventilation can reduce discomfort, while saving energy on airconditioning. Parametric building simulation analysis for natural ventilation typically consists of several design variables and input parameters with uncertainty, making it computationally intensive. For optimizing the building design within a reasonable timeframe, design of experiment techniques based methodology is proposed. Firstly, the significant design variables and input parameters are identified. For these significant factors, correlations are formed to predict the statistical distribution of indoor operative temperatures. These correlations are used to find the design, which minimizes discomfort hours, as per adaptive comfort guidelines.