Climatic indicators for estimating residential heating and cooling loads
Description:
An extensive data base of residential energy use generated with the DOE-2.1A simulation code provides an opportunity for correlating building loads predicted by an hourly simulation model to commonly used climatic parameters such as heating and cooling degree-days, and to newer parameters such as insolation-days and latent enthalpy-days. The identification of reliable climatic parameters for estimating cooling loads and the incremental loads for individual building components, such as changing …
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Date:
November 1, 1986
Creator:
Huang, Y. J.; Ritschard, R.; Bull, J. & Chang, L.
Item Type:
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Partner:
UNT Libraries Government Documents Department