ThermalOpt: A methodology for automated BIM-based multidisciplinary thermal simulation for use in optimization environments |
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Authors: | Benjamin Welle John Haymaker Zack Rogers |
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Affiliation: | 1. Center for Integrated Facility Engineering (CIFE), Department of Civil and Environmental Engineering, Stanford University, Environment and Energy Building, 473 Via Ortega, #291, MC:4020, Stanford, CA, 94305, USA 2. Design Process Innovation, 477 Vermont St., San Francisco, CA, 94107, USA 3. Daylighting Innovations, Lafayette, CO, 80026, USA
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Abstract: | 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. |
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