Mira: A one-repetitive day method for predicting the long-term performance of solar energy systems

T. A. Reddy, J. M. Gordon, I. P.D. de Silva

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)123-133
Number of pages11
JournalSolar Energy
Volume39
Issue number2
DOIs
StatePublished - 1 Jan 1987
Externally publishedYes

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • General Materials Science

Fingerprint

Dive into the research topics of 'Mira: A one-repetitive day method for predicting the long-term performance of solar energy systems'. Together they form a unique fingerprint.

Cite this