Research on Modeling Simulation and Optimal Layout of Heliostat Field Optical Efficiency for Solar Power Tower Plant

IF 1.204 Q3 Energy Applied Solar Energy Pub Date : 2023-12-01 DOI:10.3103/s0003701x23601230
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Abstract

The heliostat field is an important subsystem of the tower CSP station. The optimal layout of the heliostat field is one of the key issues to be solved in the early stage of the tower CSP station construction. Comprehensive efficiency of the heliostat field directly determines the highest performance of the power generation system. After analyzing the optical efficiency composition, optical efficiency distribution and related layout methods of the heliostat field, the goal is to have the highest annual average optical efficiency of the heliostat field. A dense simulated heliostat field with 2640 heliostats is established by the radial grid method. After selecting the appropriate heliostat field parameters, the cosine efficiency, shadow and block efficiency, atmospheric attenuation efficiency and comprehensive efficiency at different time points in the heliostat field are affected. In the optimization process, different search strategies are automatically selected, which improves the solving ability of the algorithm. Based on the Campo layout method, a new heliostat field layout method is proposed combined with the Adaptive Gravity Search Algorithm. The layout process starts from a dense heliostat field that is 1.5 times larger than the target heliostat field. The radius of the ring where the heliostat is located is used as the input variable and the annual average efficiency is used as the evaluation standard for the optimal layout of the heliostat field. After setting the corresponding constraints, the Adaptive Gravity Search Algorithm is used to find the best line spacing combination until the energy gain of the heliostat field reaches the maximum. Then, according to the design requirements, the inefficient heliostats are eliminated to obtain the final heliostat field arrangement. Finally, the heliostat field of the Gemasolar tower solar thermal power station in Seville is taken as an example to verify the method and prove the feasibility of the method.

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太阳能塔式发电站太阳电池场光学效率建模模拟与优化布局研究
摘要 定日镜场是塔式 CSP 站的一个重要子系统。定日镜场的优化布局是塔式 CSP 电站建设初期需要解决的关键问题之一。定日镜场的综合效率直接决定了发电系统的最高性能。在分析了定日镜场的光学效率组成、光学效率分布和相关布局方法后,我们的目标是使定日镜场的年平均光学效率达到最高。通过径向网格法,建立了一个由 2640 个定日镜组成的密集模拟定日镜场。选择合适的定日镜场参数后,定日镜场不同时间点的余弦效率、阴影和遮挡效率、大气衰减效率和综合效率都会受到影响。在优化过程中,自动选择不同的搜索策略,提高了算法的求解能力。在 Campo 布局方法的基础上,结合自适应重力搜索算法提出了一种新的定日镜场布局方法。布局过程从一个比目标定日镜场大 1.5 倍的密集定日镜场开始。定日镜所在环的半径作为输入变量,年平均效率作为定日镜场优化布局的评估标准。设定相应的约束条件后,利用自适应重力搜索算法找到最佳线间距组合,直至定日镜场的能量增益达到最大值。然后,根据设计要求,剔除低效的定日镜,得到最终的定日镜场布置。最后,以塞维利亚 Gemasolar 塔式太阳能热电站的定日镜场为例,对该方法进行了验证,证明了该方法的可行性。
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来源期刊
Applied Solar Energy
Applied Solar Energy Energy-Renewable Energy, Sustainability and the Environment
CiteScore
2.50
自引率
0.00%
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0
期刊介绍: Applied Solar Energy  is an international peer reviewed journal covers various topics of research and development studies on solar energy conversion and use: photovoltaics, thermophotovoltaics, water heaters, passive solar heating systems, drying of agricultural production, water desalination, solar radiation condensers, operation of Big Solar Oven, combined use of solar energy and traditional energy sources, new semiconductors for solar cells and thermophotovoltaic system photocells, engines for autonomous solar stations.
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