NDLI: Comparison of solar modeling data to actual PV installations: Power predictions and optimal tilt angles

Content Provider	IEEE Xplore Digital Library
Author	Best, S.R. Rodiek, J.A. Brandhorst, H.W.
Copyright Year	2011
Description	Author affiliation: AU MRI Research Center, Auburn University, AL, U.S.A. (Rodiek, J.A.) \|\| Space Research Institute, Auburn University, AL, U.S.A. (Best, S.R.) \|\| Carbon-Free Energy, LLC, Auburn, AL, U.S.A. (Brandhorst, H.W.)
Abstract	Solar tracking mechanisms were developed to maximize the energy yield of solar cells. Software models can help predict the optimum tilt angle to point the single axis tracker for maximum energy output for the entire year. We used modeling programs to predict the optimal angle and for this region they do not agree. In 2009 Auburn University designed and built a test structure that allowed us to conduct comparison of these models. There are six test panels, five panels are rotated in a single axis azimuthally at the tilt angles of 20°, 25°, 32° (latitude), 40°, and 50°. Another panel is a fixed control panel facing south at latitude tilt. The system has collected data for over one year. Also data collected at the Lee County's T.K. Davis Justice Center's 16.6 kW grid-connected solar array system is compared to the performance data to the results of three photovoltaic modeling programs used before and during installation of the system. This research will shed light on the accuracy of modeling programs and discuss reasons behind program results variations.
Starting Page	001994
Ending Page	001999
File Size	996168
Page Count	6
File Format	PDF
ISBN	9781424499663
ISSN	01608371
e-ISBN	9781424499656
DOI	10.1109/PVSC.2011.6186345
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arrays Predictive models Temperature sensors Gold Sun Data models Temperature measurement
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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