TY - CPAPER
AU - Taoning Wang
AU - Gregory J Ward
AU - Eleanor S Lee
AB - <p>Radiance matrix-based methods enable efficient<br />parametric simulations, allowing users to vary sky<br />conditions, fenestration systems, and other model<br />parameters at a minimal cost to computation. However,<br />the steep learning curve and complex workflow hinder<br />the widespread adoption of matrix-based methods. The<br />frads Python library with a series of command-line tools<br />was developed to automate the entire matrix-based<br />simulation process, lowering entry barriers and reducing<br />human error. Co-simulation between EnergyPlus and<br />Radiance was also enabled using the Python library from<br />EnergyPlus.</p>
BT - IBPSA Building Simulation 2021
CY - Bruges, Belgium
DA - 09/2021
LA - eng
N2 - <p>Radiance matrix-based methods enable efficient<br />parametric simulations, allowing users to vary sky<br />conditions, fenestration systems, and other model<br />parameters at a minimal cost to computation. However,<br />the steep learning curve and complex workflow hinder<br />the widespread adoption of matrix-based methods. The<br />frads Python library with a series of command-line tools<br />was developed to automate the entire matrix-based<br />simulation process, lowering entry barriers and reducing<br />human error. Co-simulation between EnergyPlus and<br />Radiance was also enabled using the Python library from<br />EnergyPlus.</p>
PB - IBPSA
PP - Bruges, Belgium
PY - 2021
T2 - IBPSA Building Simulation 2021
T3 - IBPSA Building Simulation 2021
TI - A Python Library for Radiance Matrix-based Simulation Control and EnergyPlus  Integration
UR - https://escholarship.org/uc/item/8g82x51z
ER -