Architects use multiple kinds of models to inform multiple stages their work. These include physical models, full-size and scaled, analytical, mathematical models, and computational models, commonly called simulation (Weisberg 2013).
In our terminology, white box models are deterministic, physics-based models solved with numerical techniques. They are widely used in the design and analysis of buildings. Black box models are stochastic models analyzed with statistical and machine-learning techniques and are most commonly used for the analysis of limited data streams for example from thermostats or meters. Gray box models combine a deterministic model with factors to account for the stochasticity of data and are solved with a variety of techniques.
Contents
White box, Black box, GRAY-BOX modelling of building energy use: An overview
William Braham, PhD, FAIA Director, CEBD
White Box Modelling
Yun Kyu Yi, PhD Assistant Professor, UIUC
Low order white box modelling technique
Pengyuan Shen, PhD Assistant Professor, Harbin Institute of Technology
Blackbox Modelling
Ravi Srinivasan, PhD Associate Professor, University of Florida
Black Box and HVAC Controls: Measuring the Right Factors
Nancy Ma PhD student, CEBD
Application of Black & White Energy Models @ UPenn Deriving actionable information from available data
Alex Waegel, PhD Research Associate, CEBD
Creating an RC thermal model
Max Hakkarainen PhD student, CEBD
Downloads