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Title: Solar variability datalogger

Abstract

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. In conclusion, 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.

Authors:
 [1];  [2];  [3]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Pordis, LLC, Austin, TX (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1326208
Report Number(s):
SAND-2015-10902J
Journal ID: ISSN 0199-6231; 618836
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Solar Energy Engineering
Additional Journal Information:
Journal Volume: 138; Journal Issue: 5; Journal ID: ISSN 0199-6231
Publisher:
ASME
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; sensors; actinometers; solar energy

Citation Formats

Lave, Matthew, Stein, Joshua, and Smith, Ryan. Solar variability datalogger. United States: N. p., 2016. Web. doi:10.1115/1.4034071.
Lave, Matthew, Stein, Joshua, & Smith, Ryan. Solar variability datalogger. United States. doi:10.1115/1.4034071.
Lave, Matthew, Stein, Joshua, and Smith, Ryan. Thu . "Solar variability datalogger". United States. doi:10.1115/1.4034071. https://www.osti.gov/servlets/purl/1326208.
@article{osti_1326208,
title = {Solar variability datalogger},
author = {Lave, Matthew and Stein, Joshua and Smith, Ryan},
abstractNote = {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. In conclusion, 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.},
doi = {10.1115/1.4034071},
journal = {Journal of Solar Energy Engineering},
number = 5,
volume = 138,
place = {United States},
year = {2016},
month = {7}
}

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