Turn off MathJax
Article Contents
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

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

cstr: 32171.14.CO.2026-0043
Funds:  Supported by National Natural Science Foundation of China General Program (No. 52376219)
More Information
  • To address the low optical efficiency in the peripheral regions of large-scale solar power tower heliostat fields, this study proposes an overlapping layout optimization method and a multi-target aiming strategy for triple-tower solar thermal power plants. First, Particle Swarm Optimization (PSO) is utilized to determine the optimal configuration for a single-tower layout. These individual fields are then arranged, and the optimal overlapping triple-tower layout is established by refining the inter-tower distances. Finally, a multi-target aiming strategy is implemented for heliostats within the overlapping zones based on their instantaneous optical efficiency. By modeling the solar concentration process and comparing layout configurations, the results demonstrate that the annual average optical efficiency of the overlapping triple-tower field is 0.24% higher than that of the distributed counterpart. Furthermore, the overlapping arrangement is more compact, resulting in a significantly reduced land footprint.

     

  • loading
  • [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

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(9)  / Tables(3)

    Article views(23) PDF downloads(1) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return