IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v125y2018icp890-906.html

Thermal performance analysis of a high-altitude solar-powered hybrid airship

Author

Listed:
  • Zhang, Lanchuan
  • Li, Jun
  • Meng, Junhui
  • Du, Huafei
  • Lv, Mingyun
  • Zhu, Weiyu

Abstract

The increasing application of hybrid airships which have been recently proposed as high altitude platforms, makes it necessary for research into the thermal performance of such airships that possess a photovoltaic module array(PVMA).

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:125:y:2018:i:c:p:890-906
    DOI: 10.1016/j.renene.2018.03.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118303215
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.03.016?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Hocaoglu, Fatih Onur & Serttas, Fatih, 2017. "A novel hybrid (Mycielski-Markov) model for hourly solar radiation forecasting," Renewable Energy, Elsevier, vol. 108(C), pages 635-643.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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).
    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.
    7. Zhu, Weiyu & Jiang, Yi & Li, Jun, 2024. "Strategic implementation of variable-thickness insulation layers for stratospheric airships," Renewable Energy, Elsevier, vol. 236(C).

    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. 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.
    2. Mari R. Tye & Sue Ellen Haupt & Eric Gilleland & Christina Kalb & Tara Jensen, 2019. "Assessing Evidence for Weather Regimes Governing Solar Power Generation in Kuwait," Energies, MDPI, vol. 12(23), pages 1-17, November.
    3. Shab Gbémou & Julien Eynard & Stéphane Thil & Emmanuel Guillot & Stéphane Grieu, 2021. "A Comparative Study of Machine Learning-Based Methods for Global Horizontal Irradiance Forecasting," Energies, MDPI, vol. 14(11), pages 1-23, May.
    4. Jiang, Hou & Lu, Ning & Huang, Guanghui & Yao, Ling & Qin, Jun & Liu, Hengzi, 2020. "Spatial scale effects on retrieval accuracy of surface solar radiation using satellite data," Applied Energy, Elsevier, vol. 270(C).
    5. Liu, Yang & Lv, Mingyun & Sun, Kangwen, 2025. "Comprehensive tradeoff and utilization of airborne renewable energy and uncertain stratospheric wind potential based on reinforcement learning," Energy, Elsevier, vol. 324(C).
    6. Qing, Xiangyun & Niu, Yugang, 2018. "Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM," Energy, Elsevier, vol. 148(C), pages 461-468.
    7. Shang, Chuanfu & Wei, Pengcheng, 2018. "Enhanced support vector regression based forecast engine to predict solar power output," Renewable Energy, Elsevier, vol. 127(C), pages 269-283.
    8. Ruan, Zhaohui & Sun, Weiwei & Yuan, Yuan & Tan, Heping, 2023. "Accurately forecasting solar radiation distribution at both spatial and temporal dimensions simultaneously with fully-convolutional deep neural network model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    9. Shan, Chuan & Sun, Kangwen & Ji, Xinzhe & Cheng, Dongji, 2023. "A reconfiguration method for photovoltaic array of stratospheric airship based on multilevel optimization algorithm," Applied Energy, Elsevier, vol. 352(C).
    10. Heng, Jiani & Wang, Jianzhou & Xiao, Liye & Lu, Haiyan, 2017. "Research and application of a combined model based on frequent pattern growth algorithm and multi-objective optimization for solar radiation forecasting," Applied Energy, Elsevier, vol. 208(C), pages 845-866.
    11. Meenal, R. & Selvakumar, A. Immanuel, 2018. "Assessment of SVM, empirical and ANN based solar radiation prediction models with most influencing input parameters," Renewable Energy, Elsevier, vol. 121(C), pages 324-343.
    12. Chen, Ji-Long & He, Lei & Chen, Qiao & Lv, Ming-Quan & Zhu, Hong-Lin & Wen, Zhao-Fei & Wu, Sheng-Jun, 2019. "Study of monthly mean daily diffuse and direct beam radiation estimation with MODIS atmospheric product," Renewable Energy, Elsevier, vol. 132(C), pages 221-232.
    13. 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.
    14. Adel Alblawi & M. H. Elkholy & M. Talaat, 2019. "ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance," Sustainability, MDPI, vol. 11(23), pages 1-24, November.
    15. Eduardo Rangel-Heras & César Angeles-Camacho & Erasmo Cadenas-Calderón & Rafael Campos-Amezcua, 2022. "Short-Term Forecasting of Energy Production for a Photovoltaic System Using a NARX-CVM Hybrid Model," Energies, MDPI, vol. 15(8), pages 1-23, April.
    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.
    17. Zhou, Qingguo & Wang, Chen & Zhang, Gaofeng, 2019. "Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems," Applied Energy, Elsevier, vol. 250(C), pages 1559-1580.
    18. Ji, Xinzhe & Sun, Kangwen & Liang, Haoquan & Guo, Xiao & Yang, Xixiang & Shan, Chuan, 2025. "Energy management in hybrid energy system for long-duration stratospheric airship mission," Energy, Elsevier, vol. 324(C).
    19. Ramírez, Andres Felipe & Valencia, Carlos Felipe & Cabrales, Sergio & Ramírez, Carlos G., 2021. "Simulation of photo-voltaic power generation using copula autoregressive models for solar irradiance and air temperature time series," Renewable Energy, Elsevier, vol. 175(C), pages 44-67.
    20. Akarslan, Emre & Hocaoglu, Fatih Onur & Edizkan, Rifat, 2018. "Novel short term solar irradiance forecasting models," Renewable Energy, Elsevier, vol. 123(C), pages 58-66.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:125:y:2018:i:c:p:890-906. 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.