 Solar tower power mockup for the assessment of advanced control techniquesJose A. Carballo, Javier Bonilla, Manuel Berenguel, Jesús Fernández and Ginés García Renewable Energy, 2020, vol. 149, issue C, 682-690 Abstract: This work presents a solar tower power mockup with the aim of acting as a test-bed facility for evaluating new advanced control techniques. The mockup comprises low-cost hardware, open-source software together with 3D-printed structures for the elements in the system: a heliostat and a tower. The tower includes an open-hardware Arduino board, a Photovoltaic (PV) panel and a Liquid Crystal Display (LCD) to measure and show the incident power. The heliostat includes a Raspberry Pi, a touchscreen display, and two servo motors. The main goal of this mockup is to serve as a first stage test-bed and demonstration facility for analyzing new developments with respect to advanced control techniques, for instance new heliostat tracking methods. This paper presents this mockup together with a new heliostat tracking method based on computer vision and deep learning that it is currently under development. Keywords: Automatic control; Concentrated solar power; Solar power tower; Computer vision; Deep learning; Object detection (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:149:y:2020:i:c:p:682-690 DOI: 10.1016/j.renene.2019.12.075 Access Statistics for this article Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides More articles in Renewable Energy from Elsevier |
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