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Title: Chicago microclimate and building energy use data

Abstract

These data comprise three elements: - High resolution, 90 m simulated weather data for 1 year at 15 min. intervals (with known gaps toward the end of each month). These files are in .csv format. - A mapping of individual buildings with individual IDs, their latitude/longitude location, and height. (Excel file) - Energy simulation output of these individual buildings, at 15 min. intervals for a whole year. (.json and other files)

Authors:
;
  1. ORNL-OLCF
Publication Date:
DOE Contract Number:  
AC05-00OR22725
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; building energy; microclimate; weather
OSTI Identifier:
1619243
DOI:
https://doi.org/10.13139/ORNLNCCS/1619243

Citation Formats

Dumas, Melissa, and New, Joshua. Chicago microclimate and building energy use data. United States: N. p., 2020. Web. doi:10.13139/ORNLNCCS/1619243.
Dumas, Melissa, & New, Joshua. Chicago microclimate and building energy use data. United States. doi:https://doi.org/10.13139/ORNLNCCS/1619243
Dumas, Melissa, and New, Joshua. 2020. "Chicago microclimate and building energy use data". United States. doi:https://doi.org/10.13139/ORNLNCCS/1619243. https://www.osti.gov/servlets/purl/1619243. Pub date:Mon May 18 04:00:00 UTC 2020
@article{osti_1619243,
title = {Chicago microclimate and building energy use data},
author = {Dumas, Melissa and New, Joshua},
abstractNote = {These data comprise three elements: - High resolution, 90 m simulated weather data for 1 year at 15 min. intervals (with known gaps toward the end of each month). These files are in .csv format. - A mapping of individual buildings with individual IDs, their latitude/longitude location, and height. (Excel file) - Energy simulation output of these individual buildings, at 15 min. intervals for a whole year. (.json and other files)},
doi = {10.13139/ORNLNCCS/1619243},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon May 18 04:00:00 UTC 2020},
month = {Mon May 18 04:00:00 UTC 2020}
}