Meteorological modeling applications in building energy simulations
Researchers use sophisticated computer models to predict building energy use. These models require extensive input data including building characteristics and dimensions, load schedules, and weather data. The typical source for weather data is the weather station at the nearest airport. Specifically, hourly values of ambient air temperature are necessary. The data obtained from local airports, however, may be significantly different from the actual weather experienced by a nearby residential building. Thus, using local airport data when simulating a residential building may yield inaccurate results. Furthermore, researchers interested in evaluating the potential for heat island mitigation schemes (such as urban tree planting programs) to decrease building air-conditioning energy use need a method for modifying the local airport data accordingly.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 70769
- Report Number(s):
- LBL-32420; CONF-920828-31; ON: DE95011269; TRN: 95:004747
- Resource Relation:
- Conference: American Council for an Energy-Efficient Economy (ACEEE) summer study on energy efficiency in buildings, Pacific Grove, CA (United States), 30 Aug - 5 Sep 1992; Other Information: PBD: Aug 1992
- Country of Publication:
- United States
- Language:
- English
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