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An optimization methodology for wind lens profile using Computational Fluid Dynamics simulation

Author

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  • Liu, Jie
  • Song, Mengxuan
  • Chen, Kai
  • Wu, Bingheng
  • Zhang, Xing

Abstract

An effective optimization method is presented for the shape design of the axis-symmetric wind lens aiming at velocity augmentation and drag force reduction. The profile of the wind lens is approximated by a polynomial function. Velocity and drag force are calculated by CFD (Computational Fluid Dynamics) method. The wind lens profile is optimized adopting GA (genetic algorithm). GA and CFD method are combined by the platform software modeFRONTIER for fully automatic process. By this method, an actual wind lens is researched. The optimized results show that the velocity inside the wind lens is increased and the drag force is decreased dramatically. The recommended inlet length of the wind lens is given through analyzing the optimized results. The effect of incoming boundary conditions on the optimized result is also discussed. The results indicate that the optimized wind lens has good performance under various incoming boundary conditions. It is suggested that the combination of CFD and GA is an effective method for wind lens profile design.

Suggested Citation

  • Liu, Jie & Song, Mengxuan & Chen, Kai & Wu, Bingheng & Zhang, Xing, 2016. "An optimization methodology for wind lens profile using Computational Fluid Dynamics simulation," Energy, Elsevier, vol. 109(C), pages 602-611.
    • Handle: RePEc:eee:energy:v:109:y:2016:i:c:p:602-611
    DOI: 10.1016/j.energy.2016.04.131
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    References listed on IDEAS

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    Cited by:

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    2. Heikal, Hasim A. & Abu-Elyazeed, Osayed S.M. & Nawar, Mohamed A.A. & Attai, Youssef A. & Mohamed, Maged M.S., 2018. "On the actual power coefficient by theoretical developing of the diffuser flange of wind-lens turbine," Renewable Energy, Elsevier, vol. 125(C), pages 295-305.
    3. Kuang, Limin & Su, Jie & Chen, Yaoran & Han, Zhaolong & Zhou, Dai & Zhang, Kai & Zhao, Yongsheng & Bao, Yan, 2022. "Wind-capture-accelerate device for performance improvement of vertical-axis wind turbines: External diffuser system," Energy, Elsevier, vol. 239(PB).
    4. Nunes, Matheus M. & Mendes, Rafael C.F. & Oliveira, Taygoara F. & Brasil Junior, Antonio C.P., 2019. "An experimental study on the diffuser-enhanced propeller hydrokinetic turbines," Renewable Energy, Elsevier, vol. 133(C), pages 840-848.
    5. Khamlaj, Tariq Abdulsalam & Rumpfkeil, Markus Peer, 2018. "Analysis and optimization of ducted wind turbines," Energy, Elsevier, vol. 162(C), pages 1234-1252.
    6. Leloudas, Stavros N. & Lygidakis, Georgios N. & Eskantar, Alexandros I. & Nikolos, Ioannis K., 2020. "A robust methodology for the design optimization of diffuser augmented wind turbine shrouds," Renewable Energy, Elsevier, vol. 150(C), pages 722-742.
    7. Gao, Xueping & Tian, Ye & Sun, Bowen, 2018. "Multi-objective optimization design of bidirectional flow passage components using RSM and NSGA II: A case study of inlet/outlet diffusion segment in pumped storage power station," Renewable Energy, Elsevier, vol. 115(C), pages 999-1013.
    8. Maduka, Maduka & Li, Chi Wai, 2022. "Experimental evaluation of power performance and wake characteristics of twin flanged duct turbines in tandem under bi-directional tidal flows," Renewable Energy, Elsevier, vol. 199(C), pages 1543-1567.

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