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 language | American English |
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Pages | 338-345 |
Number of pages | 8 |
State | Published - 2018 |
Event | 2018 ASHRAE/IBPSA-USA Building Simulation Conference: Building Performance Modeling, SimBuild 2018 - Chicago, United States Duration: 26 Sep 2018 → 28 Sep 2018 |
Conference
Conference | 2018 ASHRAE/IBPSA-USA Building Simulation Conference: Building Performance Modeling, SimBuild 2018 |
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Country/Territory | United States |
City | Chicago |
Period | 26/09/18 → 28/09/18 |
Bibliographical note
See NREL/CP-5500-83078 for preprintNREL Publication Number
- NREL/CP-5500-71950
Keywords
- big data
- building stock modeling
- opportunity assessments
- urban-scale modeling
- visualization