| Title |
Interoperability and Uncertainty in BIM-based Building Energy Performance Assessment |
| Authors |
Kim Young-Jin ; Oh Se-Min ; Park Cheol-Soo ; Kim In-Han |
| Keywords |
Building Information Modeling ; Uncertainty ; Monte-Carlo ; Stochastic Approach ; Latin Hypercube Sampling |
| Abstract |
For better energy-conscious and sustainable building design and operation, BIM-based energy performance simulation in a conceptual design stage is important. This paper addresses pros and cons of two different approaches (deterministic and stochastic) to performance simulation. It can be argued that the deterministic approach might not be suitable for building energy performance assessment under strong uncertainty governed by occupant’s stochastic behavior, uncertain simulation parameters, etc. This paper presents a stochastic way to assess building energy performance using Monte Carlo technique. For this study, one post office in the conceptual design was selected and the BIM-based energy simulation runs were performed using Revit architecture (to generate gbXML files), ECOTECT (to generate IDF files), and Energy Plus. In particular, the authors developed an automatic Monte-Carlo simulation program in MATLAB GUI platform which uses the Latin Hypercube Sampling (LHS) method for uncertainty propagation. With the automatic Monte-Carlo simulation program, four alternatives of building envelopes for the building are assessed in the paper. |