Systems and methods for single-axis tracking via sky imaging and machine leanring comprising a neural network to determine an angular position of a photovoltaic power system
Abstract
A system and method is disclosed for solar tracking and controlling an angular position of a photovoltaic power system. The solar tracking system includes an imaging device for capturing images of the sky; a solar position data generating module; and a control system comprising a neural network. The neural network has multiple convolutional layers to generate a first output associated with the images, and a solar position data module. A first dense layer module receives the solar position data and generates a second output. A second dense layer module receives the first output and the second output and generates a concatenated data sequence. A processor is programmed to generate a multi-planar irradiance signal (MPIS) in response to the concatenated data sequence, and determine an angular position of the PV power system and adjust the angular position in response to an angle of maximum irradiance.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 2293899
- Patent Number(s):
- 11823409
- Application Number:
- 17/550,048
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- DOE Contract Number:
- NA0003525
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 12/14/2021
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Stein, Joshua, Braid, Jennifer Lee, Pierce, Benjamin Garrett, and Riley, Daniel. Systems and methods for single-axis tracking via sky imaging and machine leanring comprising a neural network to determine an angular position of a photovoltaic power system. United States: N. p., 2023.
Web.
Stein, Joshua, Braid, Jennifer Lee, Pierce, Benjamin Garrett, & Riley, Daniel. Systems and methods for single-axis tracking via sky imaging and machine leanring comprising a neural network to determine an angular position of a photovoltaic power system. United States.
Stein, Joshua, Braid, Jennifer Lee, Pierce, Benjamin Garrett, and Riley, Daniel. Tue .
"Systems and methods for single-axis tracking via sky imaging and machine leanring comprising a neural network to determine an angular position of a photovoltaic power system". United States. https://www.osti.gov/servlets/purl/2293899.
@article{osti_2293899,
title = {Systems and methods for single-axis tracking via sky imaging and machine leanring comprising a neural network to determine an angular position of a photovoltaic power system},
author = {Stein, Joshua and Braid, Jennifer Lee and Pierce, Benjamin Garrett and Riley, Daniel},
abstractNote = {A system and method is disclosed for solar tracking and controlling an angular position of a photovoltaic power system. The solar tracking system includes an imaging device for capturing images of the sky; a solar position data generating module; and a control system comprising a neural network. The neural network has multiple convolutional layers to generate a first output associated with the images, and a solar position data module. A first dense layer module receives the solar position data and generates a second output. A second dense layer module receives the first output and the second output and generates a concatenated data sequence. A processor is programmed to generate a multi-planar irradiance signal (MPIS) in response to the concatenated data sequence, and determine an angular position of the PV power system and adjust the angular position in response to an angle of maximum irradiance.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 21 00:00:00 EST 2023},
month = {Tue Nov 21 00:00:00 EST 2023}
}
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Works referenced in this record:
Multi-Input Convolutional Neural Network for Flower Grading
journal, January 2017
- Sun, Yu; Zhu, Lin; Wang, Guan
- Journal of Electrical and Computer Engineering, Vol. 2017
Solar radiation transposition models applied to a plane tracking the sun
journal, January 1988
- Ineichen, P.; Zelenka, A.; Guisan, O.
- Solar Energy, Vol. 41, Issue 4
Solar position algorithm for solar radiation applications
journal, January 2004
- Reda, Ibrahim; Andreas, Afshin
- Solar Energy, Vol. 76, Issue 5
Geo-referencing and stereo calibration of ground-based Whole Sky Imagers using the sun trajectory
conference, July 2016
- Savoy, Florian M.; Dev, Soumyabrata; Lee, Yee Hui
- 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
A new airmass independent formulation for the Linke turbidity coefficient
journal, September 2002
- Ineichen, Pierre; Perez, Richard
- Solar Energy, Vol. 73, Issue 3
Retrieving Cloud Characteristics from Ground-Based Daytime Color All-Sky Images
journal, May 2006
- Long, C. N.; Sabburg, J. M.; Calbó, J.
- Journal of Atmospheric and Oceanic Technology, Vol. 23, Issue 5
Short and medium-term cloudiness forecasting using remote sensing techniques and sky camera imagery
journal, August 2014
- Alonso, J.; Batlles, F. J.
- Energy, Vol. 73
pvlib python: a python package for modeling solar energy systems
journal, September 2018
- F. Holmgren, William; W. Hansen, Clifford; A. Mikofski, Mark
- Journal of Open Source Software, Vol. 3, Issue 29
Solar power forecasting
patent, October 2022
- West, Sam; Lagerstrom, Ryan; Sun, Changming
- US Patent Document 11,476,795
Method, system, and apparatus for rapidly measuring incident solar irradiance on multiple planes of differing angular orientations
patent, May 2019
- Augustyn, James Raymond
- US Patent Document 10,281,552