A stochastic model for predicting solar system performance
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Abstract A method for predicting long term performance of solar systems is presented. The method uses a stochastic approach and is based on some statistical properties of monthly averages of daily insolation and dry bulb temperatures. Application of this method to solar heating and hot water systems yields results that agree with those obtained using the f-chart and with experimental observations.
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