Performance Evaluation of Fixed-Sun Mirror Field Configurations for Tower Solar Photovoltaic Power Plants
DOI:
https://doi.org/10.54097/18h58s98Keywords:
Tower Solar Thermal Power, Mirror Field, Mirror Reflection.Abstract
For the performance evaluation of tower solar thermal power plant with fixed-sun mirror field configuration, this paper firstly establishes the equations about the sun position and input thermal power. Then, the direction vector of incident light is obtained through the calculation of the sun angle, and then the angle between the two vectors can be obtained through the known direction vector of reflected light, and the half-angle cosine is the cosine efficiency. Next, the spot flux on the collector can be approximated as a two-dimensional normal distribution, and the truncation efficiency can be approximated using the definite integral. Next, the real-time optical efficiency of each heliostat can be obtained by calculating the known atmospheric projection efficiency and reflection efficiency. Finally, through the above calculation method, the annual average optical efficiency of the heliostat mirror field was calculated as 0.33, the annual average cosine efficiency as 0.76, the annual average truncation efficiency as 0.55, the annual average thermal power output (mw) as 26.23 mw, and the annual average thermal power output per unit area of the mirror surface (kw/m2) as 0.42 kw/m2, which effectively evaluates the configuration of the heliostat mirror field for the tower-type solar photovoltaic power plant. performance was effectively evaluated.
Downloads
References
Zhang Maolong, Wei Huimin, Du Xiaoze, et al. Tower solar mirror field shading and improved algorithm for shading efficiency [J]. Journal of Solar Energy, 2016, 37 (8): 1998-2003.
Yin X, Yang Z, Yan J, et al. Study on the automatic optimization design of the cross-sectional layout of an umbilical with layers based on the GA-GLM [J]. Marine Structures, 2023.
Sun H. Research and optimization of fixed-sun mirror field layout based on mixed-strategy whale optimization algorithm [D]. Lanzhou Jiaotong University, 2022.
Cheng S.-L. Research on optimal design of tower power plant mirror field layout based on optical efficiency [D]. Hefei University of Technology, 2018.
Du B C, Guo Y F, Xu C, et al. Dynamic creep and stress performances of the packed-bed thermal energy storage tank with molten salt EPCM particles [J]. Applied thermal engineering: Design, processes, equipment, economics, 2023.
Huang W, Yu L. Development of a new flux density function for a focusing heliostat [J]. Energy, 2018, 151: 358-375.
Carrizosa E, Domínguez‐Bravo C A, Fernández‐Cara E, et al. An optimization tool to design the field of a solar power tower plant allowing heliostats of different sizes [J]. International Journal of Energy Research, 2017, 41 (8): 1096-1107.
Cox J L, Hamilton W T, Newman A M, et al. Real-time dispatch optimization for concentrating solar power with thermal energy storage [J]. Optimization and engineering, 2023.
Buck R, Sment J. Techno-economic analysis of multi-tower solar particle power plants [J]. Solar Energy, 2023.
Boretti A. Capacity Factors over the Lifetime of Solar Thermal and Photovoltaic Plants [J]. Energy Technology: Generation, Conversion, Storage, Distribution, 2023.
Downloads
Published
Issue
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.
