skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A Mobility-Driven Approach to Modeling Building Energy

Abstract

Buildings are one of the primary energy consumers in any city's energy use [12]. Presence and absence of humans is a major contributing factor to the energy use in a building. In this paper, we present an approach to generating a realistic model of human building occupancy throughout a typical work week. We use the Toolbox for Urban Mobility Systems (TUMS) to generate a synthetic population based on population distribution estimates, we schedule the population's daily commute based on National Household Travel Survey (NHTS) survey data, and we simulate their daily travel patterns using an agent-based transportation simulation (TRANSIMS). We process and fuse the simulation output to produce a list of the first and last seen location of each agent in the simulation. Based on the arrival at the last destination, we map each agent to one of the nearby buildings. Using these agent arrivals, as well as NHTS data, we create an hourly occupancy schedule for each building. We successfully demonstrate this workflow at the example of the Chicago Loop, a major business district in Chicago, Illinois.


Citation Formats

Berres, Anne, Im, Piljae, Kurte, Kuldeep, Dumas, Melissa, Thakur, Gautam, and Sanyal, Jibonananda. A Mobility-Driven Approach to Modeling Building Energy. United States: N. p., 2019. Web. doi:10.1109/BigData47090.2019.9006308.
Berres, Anne, Im, Piljae, Kurte, Kuldeep, Dumas, Melissa, Thakur, Gautam, & Sanyal, Jibonananda. A Mobility-Driven Approach to Modeling Building Energy. United States. https://doi.org/10.1109/BigData47090.2019.9006308
Berres, Anne, Im, Piljae, Kurte, Kuldeep, Dumas, Melissa, Thakur, Gautam, and Sanyal, Jibonananda. Sun . "A Mobility-Driven Approach to Modeling Building Energy". United States. https://doi.org/10.1109/BigData47090.2019.9006308. https://www.osti.gov/servlets/purl/1649515.
@article{osti_1649515,
title = {A Mobility-Driven Approach to Modeling Building Energy},
author = {Berres, Anne and Im, Piljae and Kurte, Kuldeep and Dumas, Melissa and Thakur, Gautam and Sanyal, Jibonananda},
abstractNote = {Buildings are one of the primary energy consumers in any city's energy use [12]. Presence and absence of humans is a major contributing factor to the energy use in a building. In this paper, we present an approach to generating a realistic model of human building occupancy throughout a typical work week. We use the Toolbox for Urban Mobility Systems (TUMS) to generate a synthetic population based on population distribution estimates, we schedule the population's daily commute based on National Household Travel Survey (NHTS) survey data, and we simulate their daily travel patterns using an agent-based transportation simulation (TRANSIMS). We process and fuse the simulation output to produce a list of the first and last seen location of each agent in the simulation. Based on the arrival at the last destination, we map each agent to one of the nearby buildings. Using these agent arrivals, as well as NHTS data, we create an hourly occupancy schedule for each building. We successfully demonstrate this workflow at the example of the Chicago Loop, a major business district in Chicago, Illinois.},
doi = {10.1109/BigData47090.2019.9006308},
url = {https://www.osti.gov/biblio/1649515}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {12}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: