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Title: Heliostat error detection

Abstract

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.

Inventors:
;
Issue Date:
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1892617
Patent Number(s):
11250587
Application Number:
17/034,660
Assignee:
Alliance for Sustainable Energy, LLC (Golden, CO)
Patent Classifications (CPCs):
F - MECHANICAL ENGINEERING F24 - HEATING F24S - SOLAR HEAT COLLECTORS
G - PHYSICS G05 - CONTROLLING G05D - SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Patent
Resource Relation:
Patent File Date: 09/28/2020
Country of Publication:
United States
Language:
English

Citation Formats

Zhu, Guangdong, and Mitchell, Rebecca Amelia. Heliostat error detection. United States: N. p., 2022. Web.
Zhu, Guangdong, & Mitchell, Rebecca Amelia. Heliostat error detection. United States.
Zhu, Guangdong, and Mitchell, Rebecca Amelia. Tue . "Heliostat error detection". United States. https://www.osti.gov/servlets/purl/1892617.
@article{osti_1892617,
title = {Heliostat error detection},
author = {Zhu, Guangdong and Mitchell, Rebecca Amelia},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 15 00:00:00 EST 2022},
month = {Tue Feb 15 00:00:00 EST 2022}
}

Works referenced in this record:

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patent-application, October 2010


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patent-application, March 2019


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journal, September 2020


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Reflective Surface Orientating With Multiple View Ports
patent-application, January 2013