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A renewable energy harvesting wind barrier based on coaxial contrarotation for self-powered applications on railways

Author

Listed:
  • Hongye pan,
  • Jia, Changyuan
  • Li, Haobo
  • Zhou, Xianzheng
  • Fang, Zheng
  • Wu, Xiaoping
  • Zhang, Zutao

Abstract

As high-speed and light trains develop, they will become more sensitive to crosswinds. Since strong crosswinds tend to occur in remote areas where power supply is difficult, converting wind energy into electricity to power the devices along the railway will be an effective solution. In this paper, an energy harvesting wind barrier (EHWB) based on coaxial contrarotation is designed to reduce crosswinds and generate electricity for self-powered applications on railways. The proposed EHWB consists of four parts: 1) a porous wind barrier; 2) coaxial contrarotating (CCR) wind turbines; 3) a generator module; and 4) an energy storage module. First, the porous wind barrier installed on both sides of the railway provides a sheltering effect for trains. Second, two CCR wind turbines are installed in the through-hole of the wind barrier to harvest wind energy. Then, the generator module converts wind energy into electrical energy by coils and magnets mounted separately with the wind turbines. Finally, the generated electricity is stored in supercapacitors through slip rings. The experiments show that an average output power of 0.8 W can be obtained by one EHWB unit, indicating that the proposed system has good performance and enormous potential for power generation and self-power applications.

Suggested Citation

  • Hongye pan, & Jia, Changyuan & Li, Haobo & Zhou, Xianzheng & Fang, Zheng & Wu, Xiaoping & Zhang, Zutao, 2022. "A renewable energy harvesting wind barrier based on coaxial contrarotation for self-powered applications on railways," Energy, Elsevier, vol. 258(C).
    • Handle: RePEc:eee:energy:v:258:y:2022:i:c:s0360544222017455
    DOI: 10.1016/j.energy.2022.124842
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    References listed on IDEAS

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    1. Acarer, Sercan & Uyulan, Çağlar & Karadeniz, Ziya Haktan, 2020. "Optimization of radial inflow wind turbines for urban wind energy harvesting," Energy, Elsevier, vol. 202(C).
    2. Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yan, Jinyue, 2021. "Kinetic energy harvesting technologies for applications in land transportation: A comprehensive review," Applied Energy, Elsevier, vol. 286(C).
    3. Shravanth Vasisht, M. & Vashista, G.A. & Srinivasan, J. & Ramasesha, Sheela K., 2017. "Rail coaches with rooftop solar photovoltaic systems: A feasibility study," Energy, Elsevier, vol. 118(C), pages 684-691.
    4. Zhang, Xingtian & Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yuan, Yanping & Liu, Yujie, 2017. "A renewable energy harvesting system using a mechanical vibration rectifier (MVR) for railroads," Applied Energy, Elsevier, vol. 204(C), pages 1535-1543.
    5. Pan, Hongye & Qi, Lingfei & Zhang, Xingtian & Zhang, Zutao & Salman, Waleed & Yuan, Yanping & Wang, Chunbai, 2017. "A portable renewable solar energy-powered cooling system based on wireless power transfer for a vehicle cabin," Applied Energy, Elsevier, vol. 195(C), pages 334-343.
    6. Ali, Qazi Shahzad & Kim, Man-Hoe, 2021. "Design and performance analysis of an airborne wind turbine for high-altitude energy harvesting," Energy, Elsevier, vol. 230(C).
    7. Guo, Zijian & Liu, Tanghong & Xu, Kai & Wang, Junyan & Li, Wenhui & Chen, Zhengwei, 2020. "Parametric analysis and optimization of a simple wind turbine in high speed railway tunnels," Renewable Energy, Elsevier, vol. 161(C), pages 825-835.
    8. Zheng, Peng & Qi, Lingfei & Sun, Mengdie & Luo, Dabing & Zhang, Zutao, 2021. "A novel wind energy harvesting system with hybrid mechanism for self-powered applications in subway tunnels," Energy, Elsevier, vol. 227(C).
    9. Usman, Muhammad & Hanif, Asad & Kim, In-Ho & Jung, Hyung-Jo, 2018. "Experimental validation of a novel piezoelectric energy harvesting system employing wake galloping phenomenon for a broad wind spectrum," Energy, Elsevier, vol. 153(C), pages 882-889.
    10. Wang, Yuan & Zhu, Xin & Zhang, Tingsheng & Bano, Shehar & Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yuan, Yanping, 2018. "A renewable low-frequency acoustic energy harvesting noise barrier for high-speed railways using a Helmholtz resonator and a PVDF film," Applied Energy, Elsevier, vol. 230(C), pages 52-61.
    11. Azam, Ali & Ahmed, Ammar & Kamran, Muhammad Sajid & Hai, Li & Zhang, Zutao & Ali, Asif, 2021. "Knowledge structuring for enhancing mechanical energy harvesting (MEH): An in-depth review from 2000 to 2020 using CiteSpace," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    12. Shahzad Ali, Qazi & Kim, Man-Hoe, 2022. "Quantifying impacts of shell augmentation on power output of airborne wind energy system at elevated heights," Energy, Elsevier, vol. 239(PA).
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    1. Fan, Chengliang & Li, Hai & Zhang, Zutao & Pan, Yajia & Wu, Xiaoping & Ahmed, Ammar, 2023. "An H-shaped coupler energy harvester for application in heavy railways," Energy, Elsevier, vol. 270(C).

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