An Interactive Visualization Tool for Large-Scale Building Stock Modeling

Eric Wilson; Noel Merket

An Interactive Visualization Tool for Large-Scale Building Stock Modeling

Eric Wilson
, Noel Merket

Building Technologies and Science Center

Research output: Contribution to conference › Paper › peer-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 OpenStudio^O^R 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
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
Country/Territory	United States
City	Chicago
Period	26/09/18 → 28/09/18

Bibliographical note

See NREL/CP-5500-83078 for preprint

NLR Publication Number

NREL/CP-5500-71950

Keywords

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

Cite this

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title = "An Interactive Visualization Tool for Large-Scale Building Stock Modeling",

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.",

keywords = "big data, building stock modeling, opportunity assessments, urban-scale modeling, visualization",

author = "Eric Wilson and Noel Merket",

note = "See NREL/CP-5500-83078 for preprint; 2018 ASHRAE/IBPSA-USA Building Simulation Conference: Building Performance Modeling, SimBuild 2018 ; Conference date: 26-09-2018 Through 28-09-2018",

year = "2018",

language = "American English",

pages = "338--345",

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TY - CONF

T1 - An Interactive Visualization Tool for Large-Scale Building Stock Modeling

AU - Wilson, Eric

AU - Merket, Noel

N1 - See NREL/CP-5500-83078 for preprint

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - big data

KW - building stock modeling

KW - opportunity assessments

KW - urban-scale modeling

KW - visualization

UR - https://www.scopus.com/pages/publications/85096992277

M3 - Paper

AN - SCOPUS:85096992277

SP - 338

EP - 345

T2 - 2018 ASHRAE/IBPSA-USA Building Simulation Conference: Building Performance Modeling, SimBuild 2018

Y2 - 26 September 2018 through 28 September 2018

ER -

An Interactive Visualization Tool for Large-Scale Building Stock Modeling

Abstract

Conference

Bibliographical note

NLR Publication Number

Keywords

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Cite this