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Optimisation of aiming strategies in Solar Power Tower plants

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  • Ashley, Thomas
  • Carrizosa, Emilio
  • Fernández-Cara, Enrique

Abstract

The distribution of temperature on a Solar Power Tower (SPT) plant receiver directly affects the lifespan of the structure and energy generated by the plant. Temperature peaks and uneven distributions can be caused by the aiming strategy enforced on the heliostat field.

Suggested Citation

  • Ashley, Thomas & Carrizosa, Emilio & Fernández-Cara, Enrique, 2017. "Optimisation of aiming strategies in Solar Power Tower plants," Energy, Elsevier, vol. 137(C), pages 285-291.
    • Handle: RePEc:eee:energy:v:137:y:2017:i:c:p:285-291
    DOI: 10.1016/j.energy.2017.06.163
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    References listed on IDEAS

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    1. Carrizosa, E. & Domínguez-Bravo, C. & Fernández-Cara, E. & Quero, M., 2015. "Optimization of multiple receivers solar power tower systems," Energy, Elsevier, vol. 90(P2), pages 2085-2093.
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    Citations

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    Cited by:

    1. Kuhnke, Sascha & Richter, Pascal & Kepp, Fynn & Cumpston, Jeff & Koster, Arie M.C.A. & Büsing, Christina, 2020. "Robust optimal aiming strategies in central receiver systems," Renewable Energy, Elsevier, vol. 152(C), pages 198-207.
    2. Liu, Zengqiang & Lin, Xiaoxia & Zhao, Yuhong & Feng, Jieqing, 2023. "Determination of simulation parameters in Monte Carlo ray tracing for radiative flux density distribution simulation," Energy, Elsevier, vol. 276(C).
    3. Sánchez-González, Alberto & Rodríguez-Sánchez, María Reyes & Santana, Domingo, 2018. "Aiming factor to flatten the flux distribution on cylindrical receivers," Energy, Elsevier, vol. 153(C), pages 113-125.
    4. Ashley, Thomas & Carrizosa, Emilio & Fernández-Cara, Enrique, 2019. "Heliostat field cleaning scheduling for Solar Power Tower plants: A heuristic approach," Applied Energy, Elsevier, vol. 235(C), pages 653-660.
    5. Merad, Faycel & Labar, Hocine & Samira KELAIAIA, Mounia & Necaibia, Salah & Djelailia, Okba, 2019. "A maximum power control based on flexible collector applied to concentrator solar power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 315-331.
    6. Abutayeh, Mohammad & Padilla, Ricardo Vasquez & Lake, Maree & Lim, Yee Yan & Garcia, Jesus & Sedighi, Mohammadreza & Soo Too, Yen Chean & Jeong, Kwangkook, 2019. "Effect of short cloud shading on the performance of parabolic trough solar power plants: motorized vs manual valves," Renewable Energy, Elsevier, vol. 142(C), pages 330-344.
    7. Zeng, Zhichen & Ni, Dong & Xiao, Gang, 2022. "Real-time heliostat field aiming strategy optimization based on reinforcement learning," Applied Energy, Elsevier, vol. 307(C).
    8. García, Jesús & Barraza, Rodrigo & Soo Too, Yen Chean & Vásquez-Padilla, Ricardo & Acosta, David & Estay, Danilo & Valdivia, Patricio, 2022. "Transient simulation of a control strategy for solar receivers based on mass flow valves adjustments and heliostats aiming," Renewable Energy, Elsevier, vol. 185(C), pages 1221-1244.
    9. García, Jesús & Barraza, Rodrigo & Soo Too, Yen Chean & Vásquez Padilla, Ricardo & Acosta, David & Estay, Danilo & Valdivia, Patricio, 2020. "Aiming clusters of heliostats over solar receivers for distributing heat flux using one variable per group," Renewable Energy, Elsevier, vol. 160(C), pages 584-596.
    10. Ruidi Zhu & Dong Ni, 2023. "A Model Predictive Control Approach for Heliostat Field Power Regulatory Aiming Strategy under Varying Cloud Shadowing Conditions," Energies, MDPI, vol. 16(7), pages 1-19, March.
    11. Speetzen, N. & Richter, P., 2021. "Dynamic aiming strategy for central receiver systems," Renewable Energy, Elsevier, vol. 180(C), pages 55-67.

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