Heliostat error detection

Zhu, Guangdong; Mitchell, Rebecca Amelia

Heliostat error detection

Patent · Mon Feb 14 23:00:00 EST 2022

OSTI ID:1892617

Zhu, Guangdong; Mitchell, Rebecca Amelia

The present disclosure describes non-intrusive optical (NIO) characterization methods which efficiency measures optical errors (such as mirror surface slope error, mirror canting error, and heliostat tracking error) of a heliostat field. The methods utilize photogrammetry and deflectometry to analyze an image taken of a heliostat to determine optical errors and increase the amount of solar energy delivered by the heliostat to the receiver.

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC36-08GO28308

Assignee:: Alliance for Sustainable Energy, LLC (Golden, CO)

Patent Number(s):: 11,250,587

Application Number:: 17/034,660

OSTI ID:: 1892617

Country of Publication:: United States

Language:: English

References (11)

A novel procedure for the optical characterization of solar concentrators Arqueros, F.; Jiménez, A.; Valverde, A. Solar Energy, Vol. 75, Issue 2 https://doi.org/10.1016/j.solener.2003.07.008	journal	August 2003
Automated high resolution measurement of heliostat slope errors Ulmer, Steffen; März, Tobias; Prahl, Christoph Solar Energy, Vol. 85, Issue 4 https://doi.org/10.1016/j.solener.2010.01.010	journal	April 2011
Review of heliostat calibration and tracking control methods Sattler, Johannes Christoph; Röger, Marc; Schwarzbözl, Peter Solar Energy, Vol. 207 https://doi.org/10.1016/j.solener.2020.06.030	journal	September 2020
A non-intrusive optical (NIO) approach to characterize heliostats in utility-scale power tower plants: Methodology and in-situ validation Mitchell, Rebecca A.; Zhu, Guangdong Solar Energy, Vol. 209 https://doi.org/10.1016/j.solener.2020.09.004	journal	October 2020
Single-shot deflectometry for dynamic 3D surface profile measurement by modified spatial-carrier frequency phase-shifting method Nguyen, Manh The; Ghim, Young-Sik; Rhee, Hyug-Gyo Scientific Reports, Vol. 9, Issue 1 https://doi.org/10.1038/s41598-019-39514-6	journal	February 2019
Mirror Surface Assessment in Solar Power Applications by 2-D Coded Light Li, Song; Xu, Jinshan; Lou, Jiarui IEEE Transactions on Instrumentation and Measurement, Vol. 69, Issue 6 https://doi.org/10.1109/TIM.2019.2937529	journal	June 2020
Photogrammetry: A Powerful Tool for Geometric Analysis of Solar Concentrators and Their Components Pottler, Klaus; Lu¨pfert, Eckhard; Johnston, Glen H. G. Journal of Solar Energy Engineering, Vol. 127, Issue 1 https://doi.org/10.1115/1.1824109	journal	February 2005
Heliostat Shape and Orientation by Edge Detection Röger, Marc; Prahl, Christoph; Ulmer, Steffen Journal of Solar Energy Engineering, Vol. 132, Issue 2 https://doi.org/10.1115/1.4001400	journal	April 2010
Rapid Reflective Facet Characterization Using Fringe Reflection Techniques Andraka, Charles E.; Sadlon, Scott; Myer, Brian Journal of Solar Energy Engineering, Vol. 136, Issue 1 https://doi.org/10.1115/1.4024250	journal	July 2013
Heliostat Canting and Focusing Methods: An Overview and Comparison Yellowhair, Julius; Ho, Clifford K. ASME 2010 4th International Conference on Energy Sustainability, Volume 2 https://doi.org/10.1115/ES2010-90356	conference	January 2010
Beam quality and tracking-accuracy evaluation of second-generation and Barstow production heliostats King, David L. https://doi.org/10.2172/6969975	report	August 1982

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