Improved model of solar resource variability based on aggregation by region and climate zone

Solar resource measurements play a critical role in the assessment of long-term energy yield and the valuation of PV systems. Recent valuation methods have focused on the probability of exceedance statistic (PXX) for annual insolation as part of computing project risk. For example, P90 is the annual...

Full description

Saved in:
Bibliographic Details
Published in2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) pp. 2571 - 2574
Main Authors Kimball, Gregory M., Chaudhari, Chetan, Keelin, Patrick, Dise, John, Grammatico, Mark, Bourne, Ben
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2018
Subjects
Body area networks
Correlation
Data models
Gaussian distribution
insolation
interannual variability
Meteorology
solar resource
Wireless communication
Online AccessGet full text

Cover

More Information
Summary:Solar resource measurements play a critical role in the assessment of long-term energy yield and the valuation of PV systems. Recent valuation methods have focused on the probability of exceedance statistic (PXX) for annual insolation as part of computing project risk. For example, P90 is the annual insolation value exceeded 90% of the time. However, the small sample size of annual insolation values for a given location increases uncertainty in the distribution. To assess the distribution of annual insolation values, we aggregate groundand satellite-based data for the continental United States from 1961-2017, aggregate the data regionally and by climate zone, and report variability statistics for each location. Overall, the P99 annual insolation values were found to range from −2 to −8% of the P50 value across the continental United States.
DOI:10.1109/PVSC.2018.8547710