Analytic models based on calculations for one repetitive day are presented for predicting the long-term performance of photovoltaic systems. For highly time-dependent loads, a general one-repetitive day simulation technique is described. For the special but practical cases of constant load distribut
Mira: A one-repetitive day method for predicting the long-term performance of solar energy systems
โ Scribed by T.A. Reddy; J.M. Gordon; I.P.D. de Silva
- Publisher
- Elsevier Science
- Year
- 1987
- Tongue
- English
- Weight
- 685 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0038-092X
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โฆ Synopsis
Abstraet--A new, one-repetitive day simulation method, named MIRA, has been developed for predicting the long-term performance of a wide variety of solar energy systems. Compared to detailed hourly computer simulations, MIRA requires little computational effort and climatic data bases, while offering comparable accuracy. In the MIRA simulation method, the daily solar radiation profile incorporates both random fluctuations and an inherent time-of-day dependence. Satisfactory agreement between the long-term system performance predictions of the new method and corresponding detailed hourly simulations is demonstrated. The range and magnitude of the predictive accuracy of MIRA and other one-repetitive day methods are illustrated. Their usefulness in sensitivity studies and comparative evaluations of different solar system configurations and control strategies is also discussed.
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