UNCERTAINTY AND SENSITIVITY ANALYSIS USING BUILDING INFORMATION MODELING (An Energy Analysis Test Case)
Abstract
Building design decision-making is associated with
uncertainties due to variations over time and unpredictable parameters.
There is a growing demand for probabilistic methods, i.e., uncertainty
and sensitivity analyses to handle the uncertainties in building design.
This research intends to encourage the application of Building
Information Modeling (BIM) for addressing design uncertainties
affecting building energy performance. The mapping between BIM
(Revit and Dynamo) and a customized model-based energy analysis
tool in Excel is investigated to translate architectural models to energy
models and conduct the probabilistic analyses. The application of this
method is demonstrated with a test case of a hypothetical residential unit
in College Station, Texas, USA. Input variables in this example are the
thermal properties of building elements, and the two simulation outputs
are annual heating and cooling energy consumption, and deviation from
comfort temperature. The results indicate the probability distribution of
simulation outputs and the importance factor of each design input. This
method deals with uncertainties and provides a more reliable and robust
basis for design decision-making.
Subject
Building design decision-makingBuilding Information Modeling (BIM)
Parametric design
Uncertainty and sensitivity analysis
Building performance analysis
Department
ArchitectureCitation
Shahsavari, Fatemeh; Koosha, Rasool; Yan, Wei (2019). UNCERTAINTY AND SENSITIVITY ANALYSIS USING BUILDING INFORMATION MODELING (An Energy Analysis Test Case). the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong. Available electronically from https : / /hdl .handle .net /1969 .1 /175139.