NDLI: Lanai High-Density Irradiance Sensor Network for characterizing solar resource variability of MW-scale PV system

Content Provider	IEEE Xplore Digital Library
Author	Kuszamaul, S. Ellis, A. Stein, J. Johnson, L.
Copyright Year	2010
Description	Author affiliation: SunPower Corporation, Richmond, CA, USA (Johnson, L.) \|\| Sandia National Laboratories, Albuquerque, NM, USA (Kuszamaul, S.; Ellis, A.; Stein, J.)
Abstract	Sandia National Laboratories (Sandia) and SunPower Corporation (SunPower) have completed design and deployment of an autonomous irradiance monitoring system based on wireless mesh communications and a battery operated data acquisition system. The Lanai High-Density Irradiance Sensor Network is comprised of 24 LI-COR® irradiance sensors (silicon pyranometers) polled by 19 RF Radios. The system was implemented with commercially available hardware and custom developed LabVIEW applications. The network of solar irradiance sensors was installed in January 2010 around the periphery and within the 1.2 MW ac La Ola PV plant on the island of Lanai, Hawaii. Data acquired at 1 second intervals is transmitted over wireless links to be time-stamped and recorded on SunPower data servers at the site for later analysis. The intent is to study power and solar resource data sets to correlate the movement of cloud shadows across the PV array and its effect on power output of the PV plant. The irradiance data sets recorded will be used to study the shape, size and velocity of cloud shadows. This data, along with time-correlated PV array output data, will support the development and validation of a PV performance model that can predict the short-term output characteristics (ramp rates) of PV systems of different sizes and designs. This analysis could also be used by the La Ola system operator to predict power ramp events and support the function of the future battery system. This experience could be used to validate short-term output forecasting methodologies.
Starting Page	000283
Ending Page	000288
File Size	1680161
Page Count	6
File Format	PDF
ISBN	9781424458905
ISSN	01608371
e-ISBN	9781424458929
DOI	10.1109/PVSC.2010.5615868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Electrical and Electronic Engineering

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