ThermalOpt: A methodology for automated BIM-based multidisciplinary thermal simulation for use in optimization environments
multidisciplinary design optimization (MDO), conceptual building design, energy simulation, daylighting simulation, interoperability, process integration, design automation
This paper describes ThermalOpt—a methodology for automated BIM-based multidisciplinary thermal simulation intended for use in multidisciplinary design optimization (MDO) environments. ThermalOpt mitigates several technical barriers to BIM-based multidisciplinary thermal simulation found in practice today while integrating and automating commercially available technologies into a workflow from a parametric BIM model (Digital Project) to an energy simulation engine (EnergyPlus) and a daylighting simulation engine (Radiance) using a middleware based on the open data model Industry Foundation Classes (IFC). Details are discussed including methods for: automatically converting architectural models into multiple consistent thermal analytical models; integration/coordination of analysis inputs and outputs between multiple thermal analyses; reducing simulation times; and generating consistent annual metrics for energy and daylighting performance. We explain how ThermalOpt can improve design process speed, accuracy, and consistency, and can enable designers to explore orders of magnitude larger design spaces using MDO environments to better understand the complex tradeoffs required to achieve zero energy buildings.
Tsinghua University Press
Benjamin Welle, John Haymaker, Zack Rogers. ThermalOpt: A methodology for automated BIM-based multidisciplinary thermal simulation for use in optimization environments. Build Simul, 2011, 4(4): 293–313.