Abstract
Equations have been developed for frequently used meteorological variables which can be applied for the simulation study of solar and HVAC systems using microcomputers. These variables include global radiation, dry bulb temperature, relative humidity and wind speed. Monthly averaged hourly values of these variables have been calculated using meteorological data for a period of six years, 1975-1980. A non-linear regression procedure described in BMDP statistical package was used to fit equation through the monthly average hourly values for each month of a year. These equations can be used to predict monthly average hourly values of global radiation, ambient temperature, relative humidity and wind speed for Singapore. The long term performance of solar and HVAC systems can be evaluated using microcomputers, where the meteorological data required for system simulation studies can be estimated from these equations.
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