Heliostat error detection

Zhu, Guangdong; Mitchell, Rebecca Amelia

Title: Heliostat error detection

Patent · Tue Feb 15 00:00:00 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.

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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

Resource Relation:: Patent File Date: 09/28/2020

Country of Publication:: United States

Language:: English

References (22)

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