SOLAR POWERED ABSORPTION AIR-CONDITIONING SYSTEM PERFORMANCE PREDICTIONS USING STOCHASTIC WEATHER MODELS

摘要

The performance of a solar powered absorption air-conditioning system using real and synthetic weather data is obtained for the entire cooling season. Both air-cooled and water-cooled systems are considered. The synthetic data is derived using weather history and represented by a joint probability density matrix and at most six constants. Total insulation and the system coefficient of performance using real data and synthetic data are compared. Long term monthly and cooling season predictions based on synthetic data for both air-cooled and water-cooled systems are quite good. It is concluded that the use of synthetic data allows very inexpensive simulation and yields satisfactory results for design purposes.