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U.S. Department of Energy
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Models and applications for weather statistics related to building heating and cooling loads

Thesis/Dissertation ·
OSTI ID:6313269
A model is developed for the monthly distribution of hourly ambient temperature using long-term measurements for 9 US locations, and a degree-day model is derived from the temperature distribution model. Additional relationships are provided which allow the degree-day and distribution models to be used with only monthly-average daily ambient temperature as input. A model is presented for the bivariate distribution of sol-air temperature and ambient temperature. Two-dimensional sol-air temperature/ambient temperature bin data estimated with the model are compared with bin data compiled from the long-term hourly measurements for 9 locations. The sol-air degree-day concept is introduced, and models are developed for the estimation of heating and cooling sol-air degree-days which only require monthly-average daily values of ambient temperature and solar radiation as input. Distribution models are also developed for relative humidity and wet-bulb temperature. The estimation of two-dimensional dry-bulb temperature/humidity ratio bin data is described for a bivariate distribution function based on the distribution models for either dry-bulb (ambient) temperature and relative humidity or wet-bulb temperature and relative humidity. A correction for the effect of building thermal capacitance on the heating and cooling loads for a building is derived from an analytic solution for the temperature response of a lumped capacitance building.
OSTI ID:
6313269
Country of Publication:
United States
Language:
English

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