Visualizing urban microclimate and quantifying its impact on building energy use in San Francisco

Conference · Tue Nov 12 23:00:00 EST 2019

DOI:https://doi.org/10.1145/3363459.3363536· OSTI ID:1607407

Hong, T ^[1]; Xu, Y ^[2]; Zhang, W ^[1]; Luo, X ^[1]; Sun, K ^[1]

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1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
2. Carnegie Mellon Univ., Pittsburgh, PA (United States)

© 2019 Association for Computing Machinery. Weather data at nearby airports are usually used in building energy simulation to estimate energy use in buildings or evaluate building design or retrofit options. However, due to urbanization and geography characteristics, local weather conditions can differ significantly from those at airports. This study presents the visualization of 10-year hourly weather data measured at 27 sites in San Francisco, aiming to provide insights into the urban microclimate and urban heat island effect in San Francisco and how they evolve during the recent decade. The 10-year weather data are used in building energy simulations to investigate its influence on energy use and electrical peak demand, which informs the city's policy making on building energy efficiency and resilience. The visualization feature is implemented in CityBES, an open web-based data and computing platform for urban building energy research.

• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B)
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 1607407
• Country of Publication: United States
• Language: English