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An analytical flux density distribution model with a closed-form expression for a flat heliostat

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  • He, Caitou
  • Duan, Xiaoyue
  • Zhao, Yuhong
  • Feng, Jieqing

Abstract

Predicting the flux density distribution on the receiver surface is of significance for designing and deploying a central receiver system. In this paper, an analytical model with a closed-form expression is presented to accurately describe the flux density distribution that a flat heliostat reflects on the receiver plane. The flux spot is modeled as a two dimensional convolution between a uniform light flux density distribution over the heliostat effective reflection surface and a two dimensional quasi-Cauchy kernel. The convolution is solved analytically as a closed-form expression. The proposed model takes into account the sunlight direction, sun shape, heliostat position, size, orientation, slope error, and shadowing and blocking effects, etc. Extensive experiments and comparisons were conducted, and it shows that the proposed model is more accurate than the prevalent elliptical Gaussian model, in terms of total power and flux density distribution. Due to its closed-form expression, the proposed model can also be efficiently evaluated on a contemporary graphics processing unit to predict the flux spot of a heliostat within 2.8 ms. Thus this model has promising potential in the practical optimization applications.

Suggested Citation

  • He, Caitou & Duan, Xiaoyue & Zhao, Yuhong & Feng, Jieqing, 2019. "An analytical flux density distribution model with a closed-form expression for a flat heliostat," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
  • Handle: RePEc:eee:appene:v:251:y:2019:i:c:37
    DOI: 10.1016/j.apenergy.2019.113310
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    References listed on IDEAS

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    1. Wang, Kun & He, Ya-Ling & Xue, Xiao-Dai & Du, Bao-Cun, 2017. "Multi-objective optimization of the aiming strategy for the solar power tower with a cavity receiver by using the non-dominated sorting genetic algorithm," Applied Energy, Elsevier, vol. 205(C), pages 399-416.
    2. Elsayed, M.M. & Fathalah, K.A., 1994. "Solar flux density distribution using a separation of variables/superposition technique," Renewable Energy, Elsevier, vol. 4(1), pages 77-87.
    3. Roldán, M.I. & Monterreal, R., 2014. "Heat flux and temperature prediction on a volumetric receiver installed in a solar furnace," Applied Energy, Elsevier, vol. 120(C), pages 65-74.
    4. Cruz, N.C. & Salhi, S. & Redondo, J.L. & Álvarez, J.D. & Berenguel, M. & Ortigosa, P.M., 2018. "Hector, a new methodology for continuous and pattern-free heliostat field optimization," Applied Energy, Elsevier, vol. 225(C), pages 1123-1131.
    5. Avila-Marin, Antonio L. & Fernandez-Reche, Jesus & Tellez, Felix M., 2013. "Evaluation of the potential of central receiver solar power plants: Configuration, optimization and trends," Applied Energy, Elsevier, vol. 112(C), pages 274-288.
    6. Huang, Weidong & Sun, Lulening, 2016. "Solar flux density calculation for a heliostat with an elliptical Gaussian distribution source," Applied Energy, Elsevier, vol. 182(C), pages 434-441.
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    Cited by:

    1. He, Caitou & Zhao, Yuhong & Feng, Jieqing, 2019. "An improved flux density distribution model for a flat heliostat (iHFLCAL) compared with HFLCAL," Energy, Elsevier, vol. 189(C).
    2. Song, Jifeng & Yang, Genben & Wang, Haiyu & Niu, Yisen & Hou, Hongjuan & Su, Ying & Wang, Qian & Zou, Zubing, 2022. "Influence of sunshape and optical error on spillover of concentrated flux in solar thermal power tower plant," Energy, Elsevier, vol. 256(C).
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    4. He, Caitou & Zhao, Hanli & He, Qi & Zhao, Yuhong & Feng, Jieqing, 2021. "Analytical radiative flux model via convolution integral and image plane mapping," Energy, Elsevier, vol. 222(C).
    5. Lin, Xiaoxia & He, Caitou & Huang, Wenjun & Zhao, Yuhong & Feng, Jieqing, 2022. "GPU-based Monte Carlo ray tracing simulation considering refraction for central receiver system," Renewable Energy, Elsevier, vol. 193(C), pages 367-382.

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