Co-Generation of Hourly Dry-Bulb and Wet-Bulb Temperatures

Abstract

ABSTRACT Asimulation model of hourly dry-bulb and wet-bulb temperature was developed for Blacksburg, VA, from a 9-year sample of hourly dry-bulb temperature and relative humidity data. The historic data was transformed to hourly pairs of dry-bulb temperatures and the natural logarithm of the humidity ratio. The periodic variations over the course of a year were determined by spectral analysis, and by using least-square regression, the periodic nature of the data was modeled. A multisite Markov model was used to simulate the stochastic nature of the developmental sample. The deterministic and stochastic models were combined to simulate years of hourly dry-bulb temperatures and log humidity ratios. A psychrometric transformation of the modeled variables resulted in the desired hourly pairs of dry-bulb and wet-bulb temperatures. The model described herein can be applied to any location with a minimum of one year of site-specific hourly dry-bulb temperature and relative humidity data.