留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

三塔式光热电站定日镜场布局优化

李环宇 魏秀东 张全胜 张亚南 余强

李环宇, 魏秀东, 张全胜, 张亚南, 余强. 三塔式光热电站定日镜场布局优化[J]. 中国光学(中英文). doi: 10.37188/CO.2026-0043
引用本文: 李环宇, 魏秀东, 张全胜, 张亚南, 余强. 三塔式光热电站定日镜场布局优化[J]. 中国光学(中英文). doi: 10.37188/CO.2026-0043
LI Huan-yu, WEI Xiu-dong, ZHANG Quan-sheng, ZHANG Ya-nan, YU Qiang. Layout optimization of heliostat fields for three-tower solar thermal power plants[J]. Chinese Optics. doi: 10.37188/CO.2026-0043
Citation: LI Huan-yu, WEI Xiu-dong, ZHANG Quan-sheng, ZHANG Ya-nan, YU Qiang. Layout optimization of heliostat fields for three-tower solar thermal power plants[J]. Chinese Optics. doi: 10.37188/CO.2026-0043

三塔式光热电站定日镜场布局优化

cstr: 32171.14.CO.2026-0043
基金项目: 国家自然基金面上(No. 52376219)
详细信息
    作者简介:

    李环宇(2000—),男,河南商丘人,长春理工大学硕士研究生,主要从事塔式太阳能热发电技术、高能流太阳辐射模拟系统设计及研制的研究。E-mail:3361929300@qq.com

    魏秀东(1979—),男,河北河间人,副研究员,研究生导师,2009年于中国科学院长春光学精密机械与物理研究所获得光学博士学位,主要从事非成像光学设计、机器视觉与摄影测量技术、光学面型检测、高能流太阳辐射模拟系统设计及研制。E-mail:weixiudong211@163.com

  • 中图分类号: TP394.1;TH691.9

Layout optimization of heliostat fields for three-tower solar thermal power plants

Funds: Supported by National Natural Science Foundation of China General Program (No. 52376219)
More Information
  • 摘要:

    为解决大规模塔式定日镜场边缘区域光学效率低的问题,提出了三塔光热电站交叠式镜场布局的优化方法及重叠区域定日镜的多目标瞄准策略。首先,基于粒子群算法对单塔镜场布局进行优化,得到最优的单塔镜场布局;然后,将单塔镜场进行排列,通过优化三塔间的距离得到最优的三塔交叠式镜场布局;最后,根据定日镜瞬时光学效率对重叠区域的定日镜进行多目标瞄准策略优化。对三塔式镜场聚光过程进行了建模,比较了三塔交叠式镜场和三塔分布式镜场的光学效率,结果表明:三塔交叠式镜场比三塔分布式镜场的年均光学效率提高了0.24%,且镜场布置更紧凑,占地面积更小。

     

  • 图 1  三塔一机分布式镜场布局

    Figure 1.  Three-Tower and One-Turbine distributed heliostat field layout

    图 2  三塔一机交叠式镜场布局

    Figure 2.  Three-Tower and One-Turbine overlapping heliostat field layout

    图 3  优化后的60 MW单塔光热电站镜场

    Figure 3.  Optimized heliostat field for a 60 MW single-tower STP plant

    图 4  三塔分布式镜场

    Figure 4.  Three-tower distributed heliostat field

    图 5  三塔交叠式镜场

    Figure 5.  Three-tower overlapping heliostat field

    图 6  多目标瞄准策略优化流程图

    Figure 6.  The flowchart of the multi-target aiming strategy optimization

    图 7  夏至日(N=173)不同时刻的优化效果

    Figure 7.  Optimization effects at different times on the summer solstice (N=173)

    图 8  典型定日镜优化前后效率对比

    Figure 8.  Efficiency comparison of typical heliostats before and after optimization

    图 9  优化前后年均加权光学效率

    Figure 9.  Annual weighted optical efficiency before and after optimization

    表  1  德令哈地区60 MW单塔光热电站镜场设计参数

    Table  1.   Design parameters of the heliostat field for a 60 MW single-tower STP plant in Delingha

    类别 参数名称 数值
    地理位置 地区名称 德令哈
    纬度 37.36°
    经度 97.3°
    定日镜 定日镜数 5000
    镜面高度 9.752 m
    镜面宽度 12.305 m
    立柱高度 5.38 m
    镜面面积 120 m2
    有效反射面积 115.7 m2
    有效面积比 0.96
    镜面反射率 0.93
    吸热器 塔光学高度 240 m
    吸热板数 16
    吸热器高度 15.33 m
    吸热器直径 14.8 m
    下载: 导出CSV

    表  2  PSO优化后的60 MW单塔镜场布局参数

    Table  2.   Heliostat field layout parameters for the 60 MW single-tower plant optimized by PSO

    镜场设计参数 优化范围 最优值
    方位间距因子 1-2 1.236
    径向交错方位间距因子 1-2 1.83
    径向交错径向间距因子 1-2 1
    径向交错分区间距因子 1-2 1
    南北比例因子 0.3-1 0.4
    下载: 导出CSV

    表  3  镜场布置方案的年加权光学效率

    Table  3.   Annual Weighted Optical Efficiency of the Heliostat Field Layout

    布置方案 总光学效率 余弦效率 截断效率 大气衰减效率 阴影挡光效率
    三塔交叠式(无瞄准策略) 62.96% 82.75% 95.11% 92.54% 96.97%
    三塔交叠式(瞄准策略) 63.56% 83.56% 95.35% 92.58% 96.71%
    三塔分布式 63.32% 83.27% 95.05% 92.37% 97.17%
    单塔 49.4% 77.43% 86.33% 90.38% 91.77%
    下载: 导出CSV
  • [1] REZAEE E, SILVA S R P. Solar energy in 2025: global deployment, cost trends, and the role of energy storage in enabling a resilient smart energy infrastructure[J]. Energy & Environmental Materials, 2026, 9(3): e70199. doi: 10.1002/eem2.70199
    [2] LI S Y, AFSHAN S, MAMADIYAROV Z, et al. Renewable energy investments, climate mitigation technologies, productive capacity and fiscal policy challenges: responsible resource production and consumption implications from top-10 resource exporting economies[J]. Journal of Environmental Management, 2026, 400: 128715. doi: 10.1016/j.jenvman.2026.128715
    [3] ASLAM Z, GILANI S I U H, MOHAMAD T I, et al. Advancements in solar power tower technology: innovations in optical systems and heliostat field design[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2026, 48(1): 61. doi: 10.1007/s40430-025-06086-8
    [4] ARRIF T, HASSANI S, SÁNCHEZ-GONZÁLEZ A, et al. Heliostat aiming strategies in concentrated solar power towers: a review[J]. Renewable and Sustainable Energy Reviews, 2026, 227: 116489. doi: 10.1016/j.rser.2025.116489
    [5] TAGLE-SALAZAR P D, CABEZA L F, PRIETO C. Transient performance modelling of solar tower power plants with molten salt thermal energy storage systems[J]. Journal of Energy Storage, 2024, 97: 112793. doi: 10.1016/j.est.2024.112793
    [6] SINGH R, NARAYANAN R. Performance simulation and techno-economic assessment of a concentrated solar thermal power tower plant with thermal storage: a case study of Queensland, Australia[J]. Case Studies in Thermal Engineering, 2026, 77: 107488. doi: 10.1016/j.csite.2025.107488
    [7] ZAVERSKY F, LES I, SÁNCHEZ M, et al. Techno-economic optimization and benchmarking of a solar-only powered combined cycle with high-temperature TES upstream the gas turbine[M]//YAP E H, TAN A H P. Green Energy and Environment. IntechOpen, 2020: 21. (查阅网上资料, 未找到本条文献出版地和页码, 请确认).
    [8] PIROOZMAND P, BOROUSHAKI M. A computational method for optimal design of the multi-tower heliostat field considering heliostats interactions[J]. Energy, 2016, 106: 240-252. doi: 10.1016/j.energy.2016.03.049
    [9] SERRANO-ARRABAL J, SERRANO-AGUILERA J J, SÁNCHEZ-GONZÁLEZ A. Dual-tower CSP plants: optical assessment and optimization with a novel cone-tracing model[J]. Renewable Energy, 2021, 178: 429-442. doi: 10.1016/j.renene.2021.06.040
    [10] HUSSAINI Z A, KING P, SANSOM C. Design and configuration of solar thermal multi-tower field layout[J]. AIP Conference Proceedings, 2020, 2303(1): 030021.
    [11] HUSSAINI Z A, KING P, SANSOM C. Numerical simulation and design of multi-tower concentrated solar power fields[J]. Sustainability, 2020, 12(6): 2402. doi: 10.3390/su12062402
    [12] PISANI L, MOREAU G S, LEONARDI E, et al. Multi-tower heliostat field optimization by means of adiabatic quantum computer[J]. Solar Energy, 2023, 263: 111893. doi: 10.1016/j.solener.2023.111893
    [13] 吴凡路, 闫得杰, 姬琪, 等. 天问一号星下点太阳高度角在轨实时计算方法[J]. 光学 精密工程, 2022, 30(2): 210-216. doi: 10.37188/OPE.20223002.0210

    WU F L, YAN D J, JI Q, et al. On-orbit real-time calculation method of solar elevation angle of sub-satellite point of Tianwen-1[J]. Optics and Precision Engineering, 2022, 30(2): 210-216. (in Chinese). doi: 10.37188/OPE.20223002.0210
    [14] XIE Q Y, GUO Z Q, LIU D F, et al. Optimization of heliostat field distribution based on improved Gray Wolf optimization algorithm[J]. Renewable Energy, 2021, 176: 447-458. doi: 10.1016/j.renene.2021.05.058
    [15] RIZVI A A, YANG D. A detailed account of calculation of shading and blocking factor of a heliostat field[J]. Renewable Energy, 2022, 181: 292-303. doi: 10.1016/j.renene.2021.09.045
    [16] DERBAL D, ABDERREZAK A, CHEHAIDIA S E, et al. Parametric study and optimization of no-blocking heliostat field layout[J]. Energies, 2023, 16(13): 4943. doi: 10.3390/en16134943
    [17] BELAID A, FILALI A, HASSANI S, et al. Heliostat field optimization and comparisons between biomimetic spiral and radial-staggered layouts for different heliostat shapes[J]. Solar Energy, 2022, 238: 162-177. doi: 10.1016/j.solener.2022.04.035
    [18] SONG J F, YANG G B, WANG H Y, et al. Influence of sunshape and optical error on spillover of concentrated flux in solar thermal power tower plant[J]. Energy, 2022, 256: 124633. doi: 10.1016/j.energy.2022.124633
    [19] LI CH, ZHAI R R, YANG Y P. Optimization of a heliostat field layout on annual basis using a hybrid algorithm combining particle swarm optimization algorithm and genetic algorithm[J]. Energies, 2017, 10(11): 1924. doi: 10.3390/en10111924
    [20] ARBES F, LANDMAN W, WEINREBE G, et al. Multi tower systems and simulation tools[J]. AIP Conference Proceedings, 2019, 2126(1): 030004. doi: 10.1063/1.5117516
  • 加载中
图(9) / 表(3)
计量
  • 文章访问数:  12
  • HTML全文浏览量:  6
  • PDF下载量:  1
  • 被引次数: 0
出版历程
  • 网络出版日期:  2026-06-03

目录

    /

    返回文章
    返回