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Title: Developing a landscape of urban building energy use with improved spatiotemporal representations in a cool-humid climate

Abstract

Urban buildings account for up to 75% of total energy use in the United States (U.S.). Understanding urban building energy use is important for developing feasible options to mitigate energy use and greenhouse gas emissions. In this study, an improved bottom-up building energy use model, named City Building Energy Use Model (City-BEUM), was developed to estimate building energy use for all buildings in Polk County, Iowa. First, 28 commercial and 6 residential building prototypes were designed by combing Assessor's parcel data and building footprint data. Then, the EnergyPlus in the CityBEUM was calibrated for all building prototypes using the U.S. Energy Information Administration's survey data, monthly utility meter data, and actual weather data. Finally, spatial and temporal variations of building energy use in the study area were estimated using the CityBEUM. Results indicate that the spatial variation of building energy use in the study area can be captured using the CityBEUM. With the monthly-calibrated model, the temporal pattern of urban building energy use can be well represented. The comparison of building energy use using the Typical Meteorological Year and actual weather data demonstrates the importance of using actual weather data in building energy modeling for an improved temporal representation.

Authors:
 [1];  [1];  [1];  [2];  [1];  [3]
  1. Iowa State University
  2. BATTELLE (PACIFIC NW LAB)
  3. University of Northern Iowa
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1510934
Report Number(s):
PNNL-SA-133357
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Building and Environment
Additional Journal Information:
Journal Volume: 136
Country of Publication:
United States
Language:
English
Subject:
CityBEUM, Urban building energy use, High spatiotemporal resolution, Calibration

Citation Formats

Li, Wenliang, Zhou, Yuyu, Cetin, Kristen, Yu, Sha, Wang, Yu, and Liang, Bingqing. Developing a landscape of urban building energy use with improved spatiotemporal representations in a cool-humid climate. United States: N. p., 2018. Web. doi:10.1016/j.buildenv.2018.03.036.
Li, Wenliang, Zhou, Yuyu, Cetin, Kristen, Yu, Sha, Wang, Yu, & Liang, Bingqing. Developing a landscape of urban building energy use with improved spatiotemporal representations in a cool-humid climate. United States. doi:10.1016/j.buildenv.2018.03.036.
Li, Wenliang, Zhou, Yuyu, Cetin, Kristen, Yu, Sha, Wang, Yu, and Liang, Bingqing. Tue . "Developing a landscape of urban building energy use with improved spatiotemporal representations in a cool-humid climate". United States. doi:10.1016/j.buildenv.2018.03.036.
@article{osti_1510934,
title = {Developing a landscape of urban building energy use with improved spatiotemporal representations in a cool-humid climate},
author = {Li, Wenliang and Zhou, Yuyu and Cetin, Kristen and Yu, Sha and Wang, Yu and Liang, Bingqing},
abstractNote = {Urban buildings account for up to 75% of total energy use in the United States (U.S.). Understanding urban building energy use is important for developing feasible options to mitigate energy use and greenhouse gas emissions. In this study, an improved bottom-up building energy use model, named City Building Energy Use Model (City-BEUM), was developed to estimate building energy use for all buildings in Polk County, Iowa. First, 28 commercial and 6 residential building prototypes were designed by combing Assessor's parcel data and building footprint data. Then, the EnergyPlus in the CityBEUM was calibrated for all building prototypes using the U.S. Energy Information Administration's survey data, monthly utility meter data, and actual weather data. Finally, spatial and temporal variations of building energy use in the study area were estimated using the CityBEUM. Results indicate that the spatial variation of building energy use in the study area can be captured using the CityBEUM. With the monthly-calibrated model, the temporal pattern of urban building energy use can be well represented. The comparison of building energy use using the Typical Meteorological Year and actual weather data demonstrates the importance of using actual weather data in building energy modeling for an improved temporal representation.},
doi = {10.1016/j.buildenv.2018.03.036},
journal = {Building and Environment},
number = ,
volume = 136,
place = {United States},
year = {2018},
month = {5}
}