SELF-ACTIVATING UNCERTAINTY ANALYSIS FOR BIM-BASED BUILDING ENERGY PERFORMANCE SIMULATIONS

Recently, Building Information Modeling (BIM)based energy performance simulations have progressed significantly to yield quick energy prediction. However, simulation models must reflect the probabilistic nature of real world situations to make more significant contribution towards rational design decisions. In this study, pros and cons of two different approaches (deterministic and stochastic) are addressed briefly. Then, this paper presents an automatic stochastic simulation approach using the MATLAB Graphical User Interface (GUI) platform. Our prototype self-activating Monte Carlo simulation program, consisting of three steps (pre-processing, simulation, and post-processing), has the potential to enhance convenience for users.

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