Journal of Applied & Computational Mathematics

Department of Computer Science and Engineering, York University, Canada

Publications

• Mini Review   
  Combining Theoretical Imaging and Computer Vision Canting Heliostats
  Author(s): Nick Cercone*
  
  Solar Power Tower technology requires accurate techniques to ensure the optical performance of the heliostats both in commissioning and operation phases. This paper presents a technique based on target reflection to detect and correct canting errors in heliostat facets. A camera mounted on the back of a target heliostat sees an object heliostat and the target facets in reflection. The pixels difference between detected and theoretical borders determines the canting errors. Experiments in a lab scale testbed show that canting errors can be corrected up to an average value of around as low as 0.15 mrad. Experiments were also performed on a real heliostat at Plataforma Solar de Almería. As a result, canting errors (up to 5 mrad) have been reduced below 0.75 mrad. Mirror slope errors, which can be noticeable in large facets, becomes the largest source of ina.. Read More»
  DOI: 10.37421/2168-9679.2022.11.508

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