Optimal arrangement of heliostat field based on simulated annealing algorithm

Authors

  • Zhanghan Li
  • Shuming Gan

DOI:

https://doi.org/10.54097/qjh65d18

Keywords:

Tower solar thermal, Heliostat, Simulated annealing algorithm, Optimal arrangement.

Abstract

In this study, a simulated annealing algorithm is proposed as an optimisation method for the mirror arrangement of heliostat mirrors in a tower solar thermal power plant. Firstly, the optimal number and position of heliostats in the whole mirror field in radial staggered layout (EB unobstructed layout) were solved using simulated annealing method. Then further optimisation, i.e. changing the mirror width, mirror height and mounting height of the heliostats and solving for the optimal number and position of heliostats using simulated annealing again, resulted in an increase in the number of heliostats in the optimised mirror field by 77.92% but a decrease in the total area by 18.77%, and an increase in the average annual thermal power output per unit area of the mirrors by 4.76%. Therefore, this result shows that the heliostat field optimised using the simulated annealing algorithm has a higher efficiency and a smaller footprint.

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References

Fu CuiXiao, Zhuang Jun, Zheng Yi. Analysis of key technology assessment in the field of carbon peaking and carbon neutrality[J]. New Energy Science and Technology,2023,4(01):6-11.

PENG Jing,SHI Tao. Road design of fixed-sun mirror field for tower solar thermal power station[J]. Southern Energy Construction,2020,7(02):70-74.

SUN Hao,GAO Bo,LIU Jianxing. Research on the layout of heliostat mirror field for tower solar power station[J]. Power Generation Technology,2021,42(06):690-698.

Gao Bo,Liu Jianxing,Sun Hao,et al. Optimal arrangement of heliostat mirror field based on adaptive gravitational search algorithm[J]. Journal of Solar Energy, 2022, 43(10):119-125.

Sun H. Research on the layout and optimisation of heliostat mirror field based on mixed strategy whale optimisation algorithm[D]. Lanzhou Jiaotong University,2022.

Zhang Wanju,Yao Kaixue,He Yong et al. Identification model of oil storage tank displacement based on simulated annealing algorithm[J]. Computer Application and Software,2023,40(07):300-304.

ZHENG Xin, SHU Qinglin, SU Zhaoguang, et al. A new method for modelling composite point dams in Quliu River based on simulated annealing[J]. Broken block oil and gas field, 2023, 30(1):114-119.

Cheng S-L. Research on optimal design of tower power plant mirror field layout based on optical efficiency[D]. Hefei University of Technology [2023-09-18].

CHENG Xiaolong,YIN Yanguo,MA Shaobo. Research on the optimal design of the layout of the fixed-sun mirror field of tower power station[J]. Energy and Environment, 2018(2):4.

Deng Libao, Wu Yiran, Guo Su. Layout of elliptical heliostat mirror field based on decomposed multi-objective evolution[J]. Journal of Zhengzhou University: engineering edition, 2020, 41(5):7.

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Published

26-01-2024

How to Cite

Li, Z., & Gan, S. (2024). Optimal arrangement of heliostat field based on simulated annealing algorithm. Highlights in Science, Engineering and Technology, 82, 172-180. https://doi.org/10.54097/qjh65d18