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Development of a Solar-Tracking System for Horizontal Single-Axis PV Arrays Using Spatial Projection Analysis

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  • Bin Huang

    (School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410004, China
    UniSA STEM, University of South Australia, Adelaide 5095, Australia)

  • Jialiang Huang

    (School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410004, China)

  • Ke Xing

    (UniSA STEM, University of South Australia, Adelaide 5095, Australia)

  • Lida Liao

    (School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410004, China)

  • Peiling Xie

    (School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410004, China)

  • Meng Xiao

    (School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410004, China)

  • Wei Zhao

    (School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410004, China)

Abstract

Uniaxial trackers are widely employed as the frame for solar photovoltaic (PV) panel installation. However, when used in sloping terrain scenarios such as mountain and hill regions, it is essential to apply a solar-tracking strategy with the sloping factors considered, to eliminate the shading effects between arrays and reduce the electricity production loss due to terrain changes. Based on a uniaxial tracker on the sloping terrain of a PV farm located in Ningxia, this study established a uniaxial solar-tracking strategy for sloping terrain by integrating a spatial projection model with a dynamic shadow assessment method. In the proposed strategy, the optimal tilt angle of the PV array and related desirable adjustment are identified taking into consideration major parameters such as the shadow area ratio S and the average solar irradiance intensity G . A tool underpinned by Matlab Simulink has also been developed to realize the proposed solar-tracking strategy. With the input of a simulated ramp signal β and the dynamically changed time parameters, the tracking angle of PV arrays over the simulated duration is accurately predicted, followed by a series of experimental validations conducted on the winter solstice and a typical sunny day (15 September). Moreover, the study also explored the terrain impacts on solar tracking by comparing the sloping terrain and flat terrain applications. The analytic and experimental results indicate that (a) the maximum value of the G ( β ) function could serve as the input to identify the optimal tracking angle; (b) the application of the flat terrain tracking (FTT) strategy in sloping terrain would result in a reduction of average solar irradiance intensity harvested by the PV arrays with varying degrees; (c) in the context of an east–west −7° sloping terrain, compared with the FTT strategy, the sloping terrain tracking (STT) strategy enabled anti-shading tracking, and then increased the daily PV electricity yield by 0.094 kWh/kWp, which is around 1.48% of the daily energy production; (d) given a measurement with annual scale, the STT strategy could cause a 1.26% increase in the energy harvesting with a flat uniaxial PV array on a −7° slope terrain, achieving an annual increase of 25.16 kWh/kWp. The experimental comparative analysis validated the precision of the proposed solar-tracking model, which has far-reaching significance for achieving automatic solar-tracking of PV modules, as well as improving the capacity and efficiency of PV systems.

Suggested Citation

  • Bin Huang & Jialiang Huang & Ke Xing & Lida Liao & Peiling Xie & Meng Xiao & Wei Zhao, 2023. "Development of a Solar-Tracking System for Horizontal Single-Axis PV Arrays Using Spatial Projection Analysis," Energies, MDPI, vol. 16(10), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4008-:d:1143489
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    References listed on IDEAS

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    1. Yajie Wang & Yunbo Shi & Xiaoyu Yu & Yongjie Liu, 2016. "Intelligent Photovoltaic Systems by Combining the Improved Perturbation Method of Observation and Sun Location Tracking," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-24, June.
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    1. Hameedullah Zaheb & Habibullah Amiry & Mikaeel Ahmadi & Habibullah Fedayi & Sajida Amiry & Atsushi Yona, 2023. "Maximizing Annual Energy Yield in a Grid-Connected PV Solar Power Plant: Analysis of Seasonal Tilt Angle and Solar Tracking Strategies," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    2. Rosario Carbone & Cosimo Borrello, 2023. "A Building-Integrated Bifacial and Transparent PV Generator Operated by an “Under-Glass” Single Axis Solar Tracker," Energies, MDPI, vol. 16(17), pages 1-29, September.

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