Solar Variability Datalogger
Author(s) -
Matthew Lave,
Joshua S. Stein,
Ryan Smith
Publication year - 2016
Publication title -
journal of solar energy engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.55
H-Index - 83
eISSN - 1528-8986
pISSN - 0199-6231
DOI - 10.1115/1.4034071
Subject(s) - pyranometer , photovoltaic system , solar irradiance , data logger , irradiance , solar energy , environmental science , computer science , remote sensing , engineering , geography , meteorology , electrical engineering , physics , quantum mechanics , operating system
To address the lack of knowledge of local solar variability, we have developed and deployed a low-cost solar variability datalogger (SVD). While most currently used solar irradiance sensors are expensive pyranometers with high accuracy (relevant for annual energy estimates), low-cost sensors display similar precision (relevant for solar variability) as high-cost pyranometers, even if they are not as accurate. In this work, we present evaluation of various low-cost irradiance sensor types, describe the SVD, and present validation and comparison of the SVD collected data. The low cost and ease of use of the SVD will enable a greater understanding of local solar variability, which will reduce developer and utility uncertainty about the impact of solar photovoltaic (PV) installations and thus will encourage greater penetrations of solar energy.
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