Solar Radiometer Efficiency Study Based on Particle Swarm Optimization Algorithms and Variable Parameter Goal Planning Design Models

Authors

  • Jiaxuan Xie
  • Wenjie Zhou

DOI:

https://doi.org/10.54097/41bjd511

Keywords:

Optical Efficiency Theoretical Algorithms, Shadow Shading Efficiency Models, Variable Parameter Target Planning, Particle Swarm Optimization

Abstract

Sunset mirror is an important basic light collection unit in a tower photovoltaic power generation system, and the construction of sunset mirrors as optical power generation is of great significance for building green ecological targets in China. Based on the planning of establishing a heliostat field in a circular area, a shading efficiency model is established to study the optical efficiency of the heliostat field and its output efficiency under different sunlight angles and mirror parameters. Then, based on the theoretical algorithm of shading efficiency, the parameter information of the heliostat field is optimized, and the optimal solution of the design parameters of the heliostat field satisfying the constraints is solved by using the optimized particle swarm algorithm. This research can make fuller use of solar energy resources and achieve the goals of sustainable development and environmental protection.

Downloads

Download data is not yet available.

References

[1] Shi, Zhipeng. A study on the effect of dust accumulation on the reflectivity of heliostat mirrors and design of mirror dedusting device[D] Lanzhou University of Science and Technology, 2019.

[2] Du Yuhang et al, Impact analysis of different focusing strategies of heliostats in tower-type photovoltaic power plants[J], Journal of Power Engineering, 2020.40(5):426-432.

[3] Wei Bobin, Kong Lingang, Jiang Qingan et al. Simulation and experimental study of fine multitube CPC linear Fresnel concentrator system[J]. Advances in Lasers and Optoelectronics, 2019,56(03):66-73.

[4] Guo Su, Liu Deyou. Calculation of effective utilization rate of heliostat considering the shadow of receiving tower[J]. Journal of Solar Energy,2007(11):1182-1187.

[5] Duffy JA, Beckman W A (authored), Ge XS, et al (translated). Solar-thermal energy conversion process [M]. Beijing: Science Publishing, 1980.

[6] Cheng Xiaolong. Research on optimal design of tower power plant mirror field layout based on optical efficiency[D]. Hefei University of Technology,2018.

[7] Collado F.J. One-point fitting of the flux density produced by a heliostat [J]. Solar Energy,2010, 84(4): 673-684.

[8] Schwarzbozl P, Schmitz M., Pitz-Paal R. Visual HFCAL - a software for layout and optimization of heliostat fields [J]. SolarPACES, 2009.

[9] O. Farges, J.J. Bezian, 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 plant [J], Renewable Energy, 2018, 119:345-353.

Downloads

Published

28-08-2024

Issue

Section

Articles

How to Cite

Xie, J., & Zhou, W. (2024). Solar Radiometer Efficiency Study Based on Particle Swarm Optimization Algorithms and Variable Parameter Goal Planning Design Models. Frontiers in Computing and Intelligent Systems, 9(2), 65-69. https://doi.org/10.54097/41bjd511