An Interactive Visualization Tool for Large-Scale Building Stock Modeling

Research output: Contribution to conferencePaperpeer-review

1 Scopus Citations

Abstract

Recent advancements in data science and high-performance computing are making it easier to run millions of building simulations, but meaningful visualization of such large datasets remains a challenge. This paper presents a new tool developed to view the results of large-scale OpenStudioOR simulations of national, 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.

Original languageAmerican English
Pages338-345
Number of pages8
StatePublished - 2018
Event2018 ASHRAE/IBPSA-USA Building Simulation Conference: Building Performance Modeling, SimBuild 2018 - Chicago, United States
Duration: 26 Sep 201828 Sep 2018

Conference

Conference2018 ASHRAE/IBPSA-USA Building Simulation Conference: Building Performance Modeling, SimBuild 2018
Country/TerritoryUnited States
CityChicago
Period26/09/1828/09/18

Bibliographical note

See NREL/CP-5500-83078 for preprint

NREL Publication Number

  • NREL/CP-5500-71950

Keywords

  • big data
  • building stock modeling
  • opportunity assessments
  • urban-scale modeling
  • visualization

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