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Photogrammetry for Concentrating Solar Collector Form Measurement, Validated Using a Coordinate Measuring Machine

Author

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  • Peter King

    (Centre for Renewable Energy Systems, Cranfield University, Bedford, Bedfordshire MK43 0AL, UK)

  • Christopher Sansom

    (Centre for Renewable Energy Systems, Cranfield University, Bedford, Bedfordshire MK43 0AL, UK)

  • Paul Comley

    (Centre for Renewable Energy Systems, Cranfield University, Bedford, Bedfordshire MK43 0AL, UK)

Abstract

Concentrating solar power systems currently have a high capital cost when compared with other energy generating systems. The solar energy is captured in the form of thermal energy rather than direct electrical, which is attractive as thermal energy is more straightforward and currently more cost-effective to store in the amounts required for extended plant operation. It is also used directly as industrial process heat, including desalination and water purification. For the technology to compete against other generating systems, it is crucial to reduce the electrical energy cost to less than $0.10 per kilowatt-hour. One of the significant capital costs is the solar field, which contains the concentrators. Novel constructions and improvements to the durability and lifetime of the concentrators are required to reduce the cost of this field. This paper describes the development and validation of an inexpensive, highly portable photogrammetry technique, which has been used to measure the shape of large mirror facets for solar collectors. The accuracy of the technique has been validated to show a whole surface measurement capability of better than 100 m using a large coordinate measuring machine. Qualification of facets of the MATS plant was performed during its installation phase, giving results of the shape, slope and intercept errors over each facet.

Suggested Citation

  • Peter King & Christopher Sansom & Paul Comley, 2019. "Photogrammetry for Concentrating Solar Collector Form Measurement, Validated Using a Coordinate Measuring Machine," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:196-:d:301868
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    References listed on IDEAS

    as
    1. Skouri, Safa & Ben Haj Ali, Abdessalem & Bouadila, Salwa & Ben Nasrallah, Sassi, 2015. "Optical qualification of a solar parabolic concentrator using photogrammetry technique," Energy, Elsevier, vol. 90(P1), pages 403-416.
    2. García-Cortés, Silverio & Bello-García, Antonio & Ordóñez, Celestino, 2012. "Estimating intercept factor of a parabolic solar trough collector with new supporting structure using off-the-shelf photogrammetric equipment," Applied Energy, Elsevier, vol. 92(C), pages 815-821.
    3. Arancibia-Bulnes, Camilo A. & Peña-Cruz, Manuel I. & Mutuberría, Amaia & Díaz-Uribe, Rufino & Sánchez-González, Marcelino, 2017. "A survey of methods for the evaluation of reflective solar concentrator optics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 673-684.
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    Cited by:

    1. Kexin Zhang & Ying Su & Haiyu Wang & Qian Wang & Kai Wang & Yisen Niu & Jifeng Song, 2022. "Highly Concentrated Solar Flux of Large Fresnel Lens Using CCD Camera-Based Method," Sustainability, MDPI, vol. 14(17), pages 1-16, September.
    2. Jose Manuel Barrera & Alejandro Reina & Alejandro Maté & Juan Carlos Trujillo, 2020. "Solar Energy Prediction Model Based on Artificial Neural Networks and Open Data," Sustainability, MDPI, vol. 12(17), pages 1-20, August.

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