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Power Generation Calculation Model and Validation of Solar Array on Stratospheric Airships

Author

Listed:
  • Kaiyin Song

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Zhaojie Li

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yanlei Zhang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Xuwei Wang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Guoning Xu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xiaojun Zhang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

Abstract

Current stratospheric airships generally employ photovoltaic cycle energy systems. Accurately calculating their power generation is significant for airships’ overall design and mission planning. However, the power generation of solar arrays on stratospheric airships is challenging to model and calculate due to the dynamic nature of the airships’ flight, resulting in continuously changing radiation conditions on the curved surface of the airships. The power generated by the airship solar array was modeled herein through a combination of the flight attitude, spatial position, time, and other influencing factors. Additionally, the model was modified by considering the variation in photovoltaic conversion efficiency based on the radiation incidence angle, as well as the state of charge and power consumption of the energy storage battery pack. This study compared the measurement data of power generation in real flight tests with the calculation results of the model. The comparison showed that the results of the calculated model were highly consistent with the actual measured data. An average normalized root-mean-square error of 2.47% validated the accuracy of the newly built model. The generalizability and rapidity of the model were also tested, and the results showed that the model performed well in both metrics.

Suggested Citation

  • Kaiyin Song & Zhaojie Li & Yanlei Zhang & Xuwei Wang & Guoning Xu & Xiaojun Zhang, 2023. "Power Generation Calculation Model and Validation of Solar Array on Stratospheric Airships," Energies, MDPI, vol. 16(20), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7106-:d:1260713
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    References listed on IDEAS

    as
    1. Li, Huashan & Lian, Yongwang & Wang, Xianlong & Ma, Weibin & Zhao, Liang, 2011. "Solar constant values for estimating solar radiation," Energy, Elsevier, vol. 36(3), pages 1785-1789.
    2. Yang, Xixiang & Liu, Duoneng, 2017. "Renewable power system simulation and endurance analysis for stratospheric airships," Renewable Energy, Elsevier, vol. 113(C), pages 1070-1076.
    3. Sun, Bo & Lu, Lin & Yuan, Yanping & Ocłoń, Paweł, 2023. "Development and validation of a concise and anisotropic irradiance model for bifacial photovoltaic modules," Renewable Energy, Elsevier, vol. 209(C), pages 442-452.
    4. Zhang, Lanchuan & Li, Jun & Wu, Yifei & Lv, Mingyun, 2019. "Analysis of attitude planning and energy balance of stratospheric airship," Energy, Elsevier, vol. 183(C), pages 1089-1103.
    5. Xuwei Wang & Zhaojie Li & Yanlei Zhang, 2021. "Model for Predicting the Operating Temperature of Stratospheric Airship Solar Cells with a Support Vector Machine," Energies, MDPI, vol. 14(5), pages 1-14, February.
    6. Jiang, Yi & Lv, Mingyun & Sun, Kangwen, 2022. "Effects of installation angle on the energy performance for photovoltaic cells during airship cruise flight," Energy, Elsevier, vol. 258(C).
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