Full Citation
Title: AN INTERACTIVE VISUALIZATION TOOL FOR LARGE-SCALE BUILDING STOCK MODELING
Citation Type: Conference Paper
Publication Year: 2018
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Abstract: Recent advancements in data science and high-performance computing are making it easier to run millions of building simulations, but meaningful visual-ization of such large datasets remains a challenge. This paper presents a new tool developed to view the results ulations on Amazon EC2 cloud computing (Macumber, Ball, and Long 2014). Problem statement ResStock analysis of the approximately 80 million single-family detached homes in the United States has typically of large-scale OpenStudio O R simulations of national, used a set of 350,000 building archetypes, or approxi-regional, or local building stocks. The tool processes millions of simulations to calculate measure savings, utility bills, carbon emissions, primary energy, and cost-effectiveness metrics at a high geographic resolution. Interactive visualizations of the building characteristics, consumption, and measure savings data include proportional symbol maps and histogram plots and can be filtered by any building characteristic.
User Submitted?: No
Authors: Wilson, Eric; Merket, Noel
Conference Name: 2018 Building Performance Modeling Conference and SimBuild
Publisher Location:
Data Collections: IPUMS NHGIS
Topics: Population Data Science
Countries: United States