Modeling High Spatial and Temporal Patterns of Urban Building Anthropogenic Heat Fluxes

Authors: Wei Chen*, Iowa State University, Yuyu Zhou, Iowa State University
Topics: Quantitative Methods, Urban and Regional Planning, United States
Keywords: Anthropogenic heat fluxes, building energy use, urban microclimate
Session Type: Virtual Paper
Day: 4/10/2021
Start / End Time: 1:30 PM / 2:45 PM
Room: Virtual 9
Presentation File: Download



Anthropogenic heat flux (AHF), the main contributor to the urban heat island (UHI), is waste
heat from building energy consumption, vehicle exhausts, industrial plants, and human
metabolism. Among them, the AHF from buildings are relatively more affected by variations in
weather, and therefore it can vary spatially and temporally within cities. For example, the AHF
from buildings varies diurnally and spatially, depending on occupant behaviors in different types
of buildings (e.g., commercial and residential) and local ambient air temperature (e.g., urban
center, urban fringe). Accurate estimation of the AHF from buildings with high spatial and
temporal resolutions is highly needed for a better understanding of human activities impacts on
urban climate change. In this study, we built a novel hybrid AHF model to estimate hourly AHF
from buildings at the individual building level in Boston, USA. First, we used Weather Research
and Forecasting (WRF) model to generate hourly weather data with high spatiotemporal
resolutions in an urban area. Second, we utilized EnegyPlus software and GIS technology to
estimate hourly AHF with consideration of real-time urban microclimate and occupant behaviors
in buildings. The resulted AHF dataset can be used to explore how spatiotemporal variability of
AHF from buildings affects the formation of the UHI, which can help decision-makers for
making differentiated and tailored strategies for mitigation of the UHI.

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