Results of applicability analysis of satellite observations and reanalysis data for autonomous photovoltaic unit simulation
- Authors: Frid S.E.1, Lisitskaya N.V.1, Popel O.S.1
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Affiliations:
- Joint Institute of High Temperature of the Russian Academy of Sciences
- Issue: Vol 488, No 6 (2019)
- Pages: 609-611
- Section: Physics
- URL: https://journals.eco-vector.com/0869-5652/article/view/17717
- DOI: https://doi.org/10.31857/S0869-56524886609-611
- ID: 17717
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Abstract
The accuracy analysis of energy performance prediction of autonomous photovoltaic units using various climate databases (NASA POWER, SARAH-E, CLARA-A, ERA5, Meteonorm, etc.) for some geographic points in Russia was performed by comparing with calculations using data of World Radiation Data Center. It is shown that the considered databases provide a spread of predictions of the required power of solar battery at the level of 10-20% only when solar fraction is less than 70%. For larger solar fraction, the prediction error of the required power of solar battery can reach hundreds of percent.
About the authors
S. E. Frid
Joint Institute of High Temperature of the Russian Academy of Sciences
Author for correspondence.
Email: s_frid@oivtran.ru
Russian Federation, 13/19, Izhorskaya street, Moscow, 125412
N. V. Lisitskaya
Joint Institute of High Temperature of the Russian Academy of Sciences
Email: s_frid@oivtran.ru
Russian Federation, 13/19, Izhorskaya street, Moscow, 125412
O. S. Popel
Joint Institute of High Temperature of the Russian Academy of Sciences
Email: s_frid@oivtran.ru
Russian Federation, 13/19, Izhorskaya street, Moscow, 125412
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