TR200: ThermalOpt: A Methodology for Automated BIM-Based Multidisciplinary Thermal Simulation for Use in Optimization Environments

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Abstract/Contents

Abstract
This paper describes ThermalOpt - a multidisciplinary optimization (MDO) methodology for BIM-based passive thermal design of buildings. ThermalOpt addresses several design barriers found in practice today by integrating and automating commercially available technologies into a workflow from a parametric BIM model (Digital Project) to energy (EnergyPlus) and daylighting (Radiance) simulation engines using an open data model (Industry Foundation Classes). 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 this method can help designers explore orders of magnitude larger design spaces and understand the complex tradeoffs required to achieve zero energy buildings.

Description

Type of resource text
Date created June 2011

Creators/Contributors

Author Welle, Benjamin
Author Haymaker, John
Author Rogers, Zack

Subjects

Subject CIFE
Subject Center for Integrated Facility Engineering
Subject Stanford University
Subject Conceptual Building Design
Subject daylighting simulation
Subject Design Automation
Subject Energy Simulation
Subject Interoperability
Subject MDO
Subject Multidisciplinary Design Optimization
Subject Process Integration
Genre Technical report

Bibliographic information

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Use and reproduction
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Preferred citation

Preferred Citation
Welle, Benjamin and Haymaker, John and Rogers, Zack . (2011). TR200: ThermalOpt: A Methodology for Automated BIM-Based Multidisciplinary Thermal Simulation for Use in Optimization Environments. Stanford Digital Repository. Available at: http://purl.stanford.edu/rc385rf9610

Collection

CIFE Publications

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