Presentation Details
| Exploring Uncertainty in Solar Measurements: Insights from NLR's SUNI Application at 89 Stations Aron Habte1, Manajit Sengupta1, Sora Ryu1, Stephen Wilcox2, Thomas Stoffel2. 1National Laboratory of the Rockies, Golden, CO, USA.2Solar Resource Solutions LLC, Louisville, CO, USA |
Abstract
Accurate solar irradiance data is essential for solar energy applications, impacting system performance and project feasibility assessments. Global measurement networks like BSRN, ARM, and NLR's SRRL provide long-term solar measurements, but the data-reliability depends on factors like radiometer type, calibration, installation, and maintenance, which affect uncertainty. Quantifying this measurement uncertainty is therefore critical. NLR has developed the Solar Uncertainty Integrator (SUNI) software, which follows the Guide to the Expression of Uncertainty in Measurement (GUM). SUNI integrates data quality analyses and uncertainty estimates for global horizontal, direct normal, and diffuse horizontal irradiance measurements. This study showcases SUNI's application in quantifying uncertainty for over 80 global stations, using one-minute resolution measurements from SRRL, BSRN, and ARM.
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No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.