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 (CityBEUM), 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];
- Iowa State Univ., Ames, IA (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Univ. of Northern Iowa, Cedar Falls, IA (United States)
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1430522
- Report Number(s):
- PNNL-SA-133357
Journal ID: ISSN 0360-1323; PII: S0360132318301719
- Grant/Contract Number:
- OG-16-016; AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Building and Environment
- Additional Journal Information:
- Journal Volume: 136; Journal ID: ISSN 0360-1323
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Citation Formats
Li, Wenliang, Zhou, Yuyu, Cetin, Kristen S., 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 S., 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. https://doi.org/10.1016/J.BUILDENV.2018.03.036
Li, Wenliang, Zhou, Yuyu, Cetin, Kristen S., Yu, Sha, Wang, Yu, and Liang, Bingqing. Sat .
"Developing a landscape of urban building energy use with improved spatiotemporal representations in a cool-humid climate". United States. https://doi.org/10.1016/J.BUILDENV.2018.03.036. https://www.osti.gov/servlets/purl/1430522.
@article{osti_1430522,
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 S. 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 (CityBEUM), 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 = {Sat Mar 24 00:00:00 EDT 2018},
month = {Sat Mar 24 00:00:00 EDT 2018}
}
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Figures / Tables:
Fig. 1.: Study area of Polk County, Iowa, U.S.