Integrating Ray Tracing with Single-Objective Optimization in Heliostat Field Design
DOI:
https://doi.org/10.54097/bzb1p739Keywords:
Energy structure transformation, Light tracing method, Monte Carlo method, Particle swarm algorithm.Abstract
Tower solar thermal power generation is a new type of low-carbon and environmentally friendly clean energy technology. Through continuous optimization of the optical efficiency of mirror field and other key technologies, the energy utilization efficiency and economic benefits of solar thermal power stations can be improved, and contribute to the sustainable development of clean energy. This paper establishes a geometric model based on the light tracing method to solve the daily average, average annual optical efficiency, thermal output power, and average optical efficiency of the heliostatic field. The cosine efficiency is the cosine of the incident light and the normal angle, which is the cosine of the incidence angle; the atmospheric transmission is only related to the distance between the mirror center and the collector center; the mirror reflection constant is 0.92. The shadow occlusion efficiency and the truncation efficiency of the collector are the difficulties in the process of calculating the optical efficiency: for the calculation of the shadow occlusion efficiency, the Monte Carlo light tracing method is adopted. Based on the energy density of the helioscope, the occlusion efficiency of the shadow can be expressed as the ratio between the amount of the outgoing light to the total generated amount; for the calculation of the collector truncation efficiency, it links the reflected light with the surface equation of the collector. According to the joint results, if there is a solution, it means that the reflected light can be reflected in the collector, and the collector truncation efficiency can represent the ratio of the number of lights reflected in the collector to the number of unblocked lights in all the reflected lines. Finally, the average annual optical efficiency and output power parameters are respectively: 0.6093, 0.7431, 0.9283, 0.9828, 35. 4430MW, 0.5642kW/m². Results for the remaining months are shown in the main text.
Downloads
References
Zhang Ping, Xi Zhengjun, Hua Hua Han, Wang Juanjuan, Sun Dengke. Optical efficiency calculation method of solar energy tower photothermal mirror field [J]. technology With Market, 2021, 28 (06): 5 - 8.
Liu Jianxing. Modeling and simulation of optical efficiency and optimized layout of tower photothermoelectric station [D]. Lanzhou Jiaotong University, 2022. DOI: 10. 27205/d.cnki. gltec. 2022.001089.
Liu Zonghao, MAO Yuxin, Qu Xiaojun, etc. Laser Detection Distance Estimation Based on Atmospheric Transmission Rate [C] 2022: 5. DOI: 10. 26914/c. cnkihy. 2022. 053934.
Qiu Lijin. Mirror mirrors were designed by the ray-tracing method [J]. Optical Technology, 1988, (05): 37 - 41.
CAI Zhijie. Solar shadow localization [J]. Mathematical Modeling and its Application, 2015, 4 (04): 25 - 33.
Gao Weidong. Research on heliostatic field scheduling optimization in tower solar power station [D]. North China Electric Power University, 2021.
O. Farges, J. J. Bézian, M. El Hafi. Global optimization of solar power tower systems using a Monte Carlo algorithm: Application to a redesign of the PS10 solar thermal power plan t [J]. Renewable Energy, 2018, 119.
Gao Bo, Liu Jianxing, Sun Hao, et al. Optimal arrangement of the heliostatic field based on an adaptive gravitational search algorithm [J]. Journal of Solar Energy, 2022, 43 (10): 119 - 125. DOI: 10.19912/j.0254 - 0096.tynxb. 2021 - 0397.
Cheng Xiaolong, Yin Yanguo, Ma Shaobo. Study on the optimal design of heliostat field layout in tower power station [J]. The Energy and the Environment, 2018, (02): 64 - 66+70.
Du Yuhang, Liu Xiangmin, Wang Xingping, Jiang Zhihao. Analysis of the influence of different focusing strategies of helichoscope in tower photothermal power station [J]. move Journal of Force Engineering, 2020, 40 (05): 426 - 432.
Downloads
Published
Conference Proceedings Volume
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.