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CRS4-2: A numerical code for the calculation of the solar power collected in a central receiver system

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  • Leonardi, Erminia
  • D’Aguanno, Bruno

Abstract

The analysis of the solar power collected at the receiver in solar tower systems requires the use of efficient and accurate numerical codes. This paper presents a new Fortran computer program, CRS4-2 (an acronym for Crs4 Research Software for Central Receiver Solar System SimulationS), for the simulation of the optical performance of a central receiver solar plant. The implemented mathematical algorithm allows for the calculation of cosine, shading and blocking effects for heliostats arbitrarily arranged in the solar field. Special attention has been given to ensure the maximum flexibility concerning the number, dimension, shape, and position of the heliostats. In the present implementation, the solar field can be composed of both square and circular heliostats possibly mixed together, each one of them characterized by the size and height from the ground. The modular design of CRS4-2 allows the extension to heliostats of arbitrary shape with only minor modifications of the code. Shading and blocking effects are computed by a tessellation of the heliostats: therefore, the numerical accuracy depends only on the refinement of the tessellation. The application to actual systems has shown that the approach is stable and general.

Suggested Citation

  • Leonardi, Erminia & D’Aguanno, Bruno, 2011. "CRS4-2: A numerical code for the calculation of the solar power collected in a central receiver system," Energy, Elsevier, vol. 36(8), pages 4828-4837.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:8:p:4828-4837
    DOI: 10.1016/j.energy.2011.05.017
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    Cited by:

    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.
    2. Ortega, Guillermo & Rovira, Antonio, 2020. "A new method for the selection of candidates for shading and blocking in central receiver systems," Renewable Energy, Elsevier, vol. 152(C), pages 961-973.
    3. Collado, Francisco J. & Guallar, Jesús, 2013. "A review of optimized design layouts for solar power tower plants with campo code," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 142-154.
    4. Atif, Maimoon. & Al-Sulaiman, Fahad A., 2017. "Energy and exergy analyses of solar tower power plant driven supercritical carbon dioxide recompression cycles for six different locations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 153-167.
    5. Gupta, M.K. & Kaushik, S.C. & Ranjan, K.R. & Panwar, N.L. & Reddy, V. Siva & Tyagi, S.K., 2015. "Thermodynamic performance evaluation of solar and other thermal power generation systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 567-582.
    6. Cruz, N.C. & Redondo, J.L. & Berenguel, M. & Álvarez, J.D. & Ortigosa, P.M., 2017. "Review of software for optical analyzing and optimizing heliostat fields," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1001-1018.
    7. Jafrancesco, David & Cardoso, Joao P. & Mutuberria, Amaia & Leonardi, Erminia & Les, Iñigo & Sansoni, Paola & Francini, Franco & Fontani, Daniela, 2018. "Optical simulation of a central receiver system: Comparison of different software tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 792-803.
    8. Dhikra Derbal & Abdallah Abderrezak & Seif Eddine Chehaidia & Majdi T. Amin & Mohamed I. Mosaad & Tarek A. Abdul-Fattah, 2023. "Parametric Study and Optimization of No-Blocking Heliostat Field Layout," Energies, MDPI, vol. 16(13), pages 1-21, June.
    9. Rizvi, Arslan A. & Yang, Dong, 2022. "A detailed account of calculation of shading and blocking factor of a heliostat field," Renewable Energy, Elsevier, vol. 181(C), pages 292-303.
    10. Ortega, Guillermo & Rovira, Antonio, 2020. "A fast and accurate methodology for the calculation of the shading and blocking efficiency in central receiver systems," Renewable Energy, Elsevier, vol. 154(C), pages 58-70.
    11. Zhang, Maolong & Yang, Lijun & Xu, Chao & Du, Xiaoze, 2016. "An efficient code to optimize the heliostat field and comparisons between the biomimetic spiral and staggered layout," Renewable Energy, Elsevier, vol. 87(P1), pages 720-730.
    12. 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).
    13. Siva Reddy, V. & Kaushik, S.C. & Ranjan, K.R. & Tyagi, S.K., 2013. "State-of-the-art of solar thermal power plants—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 258-273.
    14. Behar, Omar & Khellaf, Abdallah & Mohammedi, Kamal, 2013. "A review of studies on central receiver solar thermal power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 12-39.

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