Computational Framework for Parametric Modeling and Architecture-energy Assessment of Building Floorplans

نویسندگان

  • Eddie Tseng
  • Mark Austin
چکیده

Title of thesis: COMPUTATIONAL FRAMEWORK FOR PARAMETRIC MODELING AND ARCHITECTURE-ENERGY ASSESSMENT OF BUILDING FLOORPLANS Eddie Tseng, Master of Science, 2015 Thesis directed by: Associate Professor Mark Austin Department of Civil and Environmental Engineering and ISR Modern building systems can be exceedingly complex. In this research we develop a computational framework for the parametric modeling and architecture-energy assessment of building floorplans. Parametric representations of floorplans are formulated as multi-layer hierarchies, with adjacent layers coupled by dependency relationships. Software is developed for two approaches to floorplan specification: (1) scripting, and (2) interactive graphical techniques. Computational procedures are developed for assessment of building code regulations, electricity cost assessment, and simplified HVAC component selection and architecture-energy sensitivity analysis. A case study analysis of a two-apartment building system is presented. Last Modified: June 4, 2015 COMPUTATIONAL FRAMEWORK FOR PARAMETRIC MODELING AND ARCHITECTURE-ENERGY ASSESSMENT OF BUILDING FLOORPLANS

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تاریخ انتشار 2015