IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v236y2024ics0960148124014538.html
   My bibliography  Save this article

Strategic implementation of variable-thickness insulation layers for stratospheric airships

Author

Listed:
  • Zhu, Weiyu
  • Jiang, Yi
  • Li, Jun

Abstract

Excessive heat transfer from photovoltaic systems to airship hulls poses a threat to flight safety. To address this issue, a theoretical model was developed that combines thermal, heat transfer, and optimization models for airships with variable-thickness insulation layers. The study investigates the daily thermal behavior of stratospheric airships, focusing on the effects of thermal conductivity and insulation thickness. To balance weight reduction with insulation effectiveness, temperature constraints were used, and insulation thickness was optimized across different sections of the airship using a simulated annealing algorithm (SAA). Results indicate that adjusting thermal conductivity and insulation thickness can mitigate overheating and overpressure, albeit with a reduced solar energy output. Notably, variable-thickness insulation achieved a 9.7 % weight reduction at 40°N latitude, enhancing both photovoltaic system design and insulation material selection for stratospheric airships.

Suggested Citation

  • Zhu, Weiyu & Jiang, Yi & Li, Jun, 2024. "Strategic implementation of variable-thickness insulation layers for stratospheric airships," Renewable Energy, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:renene:v:236:y:2024:i:c:s0960148124014538
    DOI: 10.1016/j.renene.2024.121385
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124014538
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.121385?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Marc G. Bellemare & Salvatore Candido & Pablo Samuel Castro & Jun Gong & Marlos C. Machado & Subhodeep Moitra & Sameera S. Ponda & Ziyu Wang, 2020. "Autonomous navigation of stratospheric balloons using reinforcement learning," Nature, Nature, vol. 588(7836), pages 77-82, December.
    2. Liu, Yang & Du, Huafei & Xu, Ziyuan & Sun, Kangwen & Lv, Mingyun, 2022. "Mission-based optimization of insulation layer for the solar array on the stratospheric airship," Renewable Energy, Elsevier, vol. 191(C), pages 318-329.
    3. Zhang, Lanchuan & Li, Jun & Meng, Junhui & Du, Huafei & Lv, Mingyun & Zhu, Weiyu, 2018. "Thermal performance analysis of a high-altitude solar-powered hybrid airship," Renewable Energy, Elsevier, vol. 125(C), pages 890-906.
    4. Meng, Junhui & Liu, Siyu & Yao, Zhongbing & Lv, Mingyun, 2019. "Optimization design of a thermal protection structure for the solar array of stratospheric airships," Renewable Energy, Elsevier, vol. 133(C), pages 593-605.
    5. Jiang, Yi & Lv, Mingyun & Wang, Chuanzhi & Meng, Xiangrui & Ouyang, Siyue & Wang, Guodong, 2021. "Layout optimization of stratospheric balloon solar array based on energy production," Energy, Elsevier, vol. 229(C).
    6. Zhu, Weiyu & Xu, Yuanming & Du, Huafei & Li, Jun, 2019. "Thermal performance of high-altitude solar powered scientific balloon," Renewable Energy, Elsevier, vol. 135(C), pages 1078-1096.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiang, Yi & Lv, Mingyun & Wang, Chuanzhi & Meng, Xiangrui & Ouyang, Siyue & Wang, Guodong, 2021. "Layout optimization of stratospheric balloon solar array based on energy production," Energy, Elsevier, vol. 229(C).
    2. 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).
    3. Sun, Kangwen & Ji, Xinzhe & Shan, Chuan & Cheng, Dongji & Liang, Haoquan, 2024. "Extending the flight endurance of stratospheric airships using regenerative fuel cells-assisted pressure maintenance," Renewable Energy, Elsevier, vol. 227(C).
    4. Liu, Yang & Du, Huafei & Xu, Ziyuan & Sun, Kangwen & Lv, Mingyun, 2022. "Mission-based optimization of insulation layer for the solar array on the stratospheric airship," Renewable Energy, Elsevier, vol. 191(C), pages 318-329.
    5. Jiang, Yi & Lv, Mingyun & Qu, Zhipeng & Zhang, Lanchuan, 2020. "Performance evaluation for scientific balloon station-keeping strategies considering energy management strategy," Renewable Energy, Elsevier, vol. 156(C), pages 290-302.
    6. Liu, Yang & Sun, Kangwen & Lv, Mingyun, 2024. "Mission-oriented dynamic reconfiguration of airborne photovoltaic array based on multidisciplinary model," Renewable Energy, Elsevier, vol. 234(C).
    7. Almorox, Javier & Voyant, Cyril & Bailek, Nadjem & Kuriqi, Alban & Arnaldo, J.A., 2021. "Total solar irradiance's effect on the performance of empirical models for estimating global solar radiation: An empirical-based review," Energy, Elsevier, vol. 236(C).
    8. Gupta, Sowmya & Rajhans, Chinmay & Duttagupta, Siddhartha P. & Mitra, Mira, 2021. "Hybrid energy design for lighter than air systems," Renewable Energy, Elsevier, vol. 173(C), pages 781-794.
    9. Wu, Jingda & Huang, Chao & He, Hongwen & Huang, Hailong, 2024. "Confidence-aware reinforcement learning for energy management of electrified vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    10. Zhu, Weiyu & Xu, Yuanming & Du, Huafei & Li, Jun, 2019. "Thermal performance of high-altitude solar powered scientific balloon," Renewable Energy, Elsevier, vol. 135(C), pages 1078-1096.
    11. Liu, Yang & Sun, Kangwen & Xu, Ziyuan & Lv, Mingyun, 2022. "Energy efficiency assessment of photovoltaic array on the stratospheric airship under partial shading conditions," Applied Energy, Elsevier, vol. 325(C).
    12. Biemann, Marco & Scheller, Fabian & Liu, Xiufeng & Huang, Lizhen, 2021. "Experimental evaluation of model-free reinforcement learning algorithms for continuous HVAC control," Applied Energy, Elsevier, vol. 298(C).
    13. Jinming Xu & Yuan Lin, 2024. "Energy Management for Hybrid Electric Vehicles Using Safe Hybrid-Action Reinforcement Learning," Mathematics, MDPI, vol. 12(5), pages 1-20, February.
    14. Constantin Waubert de Puiseau & Richard Meyes & Tobias Meisen, 2022. "On reliability of reinforcement learning based production scheduling systems: a comparative survey," Journal of Intelligent Manufacturing, Springer, vol. 33(4), pages 911-927, April.
    15. Malte Reinschmidt & József Fortágh & Andreas Günther & Valentin V. Volchkov, 2024. "Reinforcement learning in cold atom experiments," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    16. Meng, Junhui & Liu, Siyu & Yao, Zhongbing & Lv, Mingyun, 2019. "Optimization design of a thermal protection structure for the solar array of stratospheric airships," Renewable Energy, Elsevier, vol. 133(C), pages 593-605.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:236:y:2024:i:c:s0960148124014538. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.