IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v5y2011i2p143.html
   My bibliography  Save this article

Experimental Study on a Model of Bulk Wind Energy Collecting System

Author

Listed:
  • Zhongjian Sun
  • Zhibo Tang

Abstract

In this paper, we propose a vertical axis wind energy collecting system and bulk wind energy collecting system. This system may be integrated with the urban high buildings, and produce the electricity by the means of collecting high-altitude wind energy. We design a model and do series of experiments on the model and get some results. Results show that power output reaches a maximum when the angle is 45°, turbine starts to work at the wind speed of 1.8m/s. We find that it has a strong ability to adapt to random direction and low speed wind.

Suggested Citation

  • Zhongjian Sun & Zhibo Tang, 2011. "Experimental Study on a Model of Bulk Wind Energy Collecting System," Modern Applied Science, Canadian Center of Science and Education, vol. 5(2), pages 143-143, April.
    • Handle: RePEc:ibn:masjnl:v:5:y:2011:i:2:p:143
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/10147/7231
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/10147
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xu, Jianzhong & He, Dexin & Zhao, Xiaolu, 2010. "Status and prospects of Chinese wind energy," Energy, Elsevier, vol. 35(11), pages 4439-4444.
    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. Huang, Shih-Chieh & Lo, Shang-Lien & Lin, Yen-Ching, 2013. "Application of a fuzzy cognitive map based on a structural equation model for the identification of limitations to the development of wind power," Energy Policy, Elsevier, vol. 63(C), pages 851-861.
    2. Li, X. & Hubacek, K. & Siu, Y.L., 2012. "Wind power in China – Dream or reality?," Energy, Elsevier, vol. 37(1), pages 51-60.
    3. Shih-Chieh Huang & Shang-Lien Lo & Yen-Ching Lin, 2013. "To Re-Explore the Causality between Barriers to Renewable Energy Development: A Case Study of Wind Energy," Energies, MDPI, vol. 6(9), pages 1-24, August.
    4. Lam, J.C.K. & Woo, C.K. & Kahrl, F. & Yu, W.K., 2013. "What moves wind energy development in China? Show me the money!," Applied Energy, Elsevier, vol. 105(C), pages 423-429.
    5. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    6. Julien Chevallier, 2013. "At the crossroads: can China grow in a low-carbon way?," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 31, pages 666-681, Edward Elgar Publishing.
    7. Bao, Chao & Fang, Chuang-lin, 2013. "Geographical and environmental perspectives for the sustainable development of renewable energy in urbanizing China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 464-474.
    8. Chen, Diyi & Liu, Si & Ma, Xiaoyi, 2013. "Modeling, nonlinear dynamical analysis of a novel power system with random wind power and it's control," Energy, Elsevier, vol. 53(C), pages 139-146.
    9. Grafström, Jonas, 2019. "Public policy failures related to China´s Wind Power Development," Ratio Working Papers 320, The Ratio Institute.
    10. Ciscar, Juan-Carlos & Saveyn, Bert & Soria, Antonio & Szabo, Laszlo & Van Regemorter, Denise & Van Ierland, Tom, 2013. "A comparability analysis of global burden sharing GHG reduction scenarios," Energy Policy, Elsevier, vol. 55(C), pages 73-81.
    11. Sun, Daming & Xu, Ya & Chen, Haijun & Shen, Qie & Zhang, Xuejun & Qiu, Limin, 2013. "Acoustic characteristics of a mean flow acoustic engine capable of wind energy harvesting: Effect of resonator tube length," Energy, Elsevier, vol. 55(C), pages 361-368.
    12. Grafström, Jonas, 2020. "An Austrian economic perspective on failed Chinese wind power development," Ratio Working Papers 336, The Ratio Institute.
    13. Jones, Sandra C., 2011. "“You wouldn’t know it had alcohol in it until you read the can”: Adolescents and alcohol-energy drinks," Australasian marketing journal, Elsevier, vol. 19(3), pages 189-195.
    14. Qunli Wu & Chenyang Peng, 2015. "Wind Power Grid Connected Capacity Prediction Using LSSVM Optimized by the Bat Algorithm," Energies, MDPI, vol. 8(12), pages 1-15, December.
    15. Lu, Ze-Yu & Li, Wen-Hua & Xie, Bai-Chen & Shang, Li-Feng, 2015. "Study on China’s wind power development path—Based on the target for 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 197-208.
    16. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    17. Jiang, Jheng-Lun & Chang, Hong-Chan & Kuo, Cheng-Chien, 2012. "Analysis of transient energy affection for wind farm under lightning," Energy, Elsevier, vol. 48(1), pages 292-297.
    18. Zhao, Zhen-yu & Yan, Hong & Zuo, Jian & Tian, Yu-xi & Zillante, George, 2013. "A critical review of factors affecting the wind power generation industry in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 499-508.
    19. de Prada Gil, Mikel & Gomis-Bellmunt, Oriol & Sumper, Andreas & Bergas-Jané, Joan, 2012. "Power generation efficiency analysis of offshore wind farms connected to a SLPC (single large power converter) operated with variable frequencies considering wake effects," Energy, Elsevier, vol. 37(1), pages 455-468.
    20. Schonlau Matthias & Peters Ellen, 2012. "Comprehension of Graphs and Tables Depend on the Task: Empirical Evidence from Two Web-Based Studies," Statistics, Politics and Policy, De Gruyter, vol. 3(2), pages 1-35, August.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:masjnl:v:5:y:2011:i:2:p:143. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.