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Wind Micro-Turbine Networks for Urban Areas: Optimal Design and Power Scalability of Permanent Magnet Generators

Author

Listed:
  • Marco Palmieri

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

  • Salvatore Bozzella

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

  • Giuseppe Leonardo Cascella

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

  • Marco Bronzini

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

  • Marco Torresi

    (Department of Mechanics, Mathematics and Management, Politecnico di Bari, 70126 Bari, Italy)

  • Francesco Cupertino

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

Abstract

This work is focused on the design optimization of electrical machines that are used in small-scale direct-drive aerogenerators. A ducted wind turbine, equipped with a diffuser, is considered due to its enhanced power capability with respect to bare turbines. An annular type Permanent Magnet brushless generator is integrated in the turbine structure: the stator coils are placed in the internal part of the diffuser, whereas the permanent magnets are on an external ring connected to the turbine blade tips. Moreover, as regards the stator windings, the Printed Circuit Board (PCB) technology is investigated in order to exploit its advantages with respect to conventional wire coils, such as the increased current density capacity, the reduction of costs, and the enhanced precision and repeatability of the PCBs. An original design procedure is presented together with some scalability rules. An automated tool has been developed in order to aid the electrical machine designer in the first design stages: the tool performs multi-objective optimizations (using the Matlab Genetic Algorithm Toolbox), coupled to fast Finite Element analysis (through the open-source software FEMM) for the evaluation of the electromagnetic torque and field distribution. The proposed procedure is applied to the design of an annular PM generator directly coupled to a small-scale turbine for an urban application.

Suggested Citation

  • Marco Palmieri & Salvatore Bozzella & Giuseppe Leonardo Cascella & Marco Bronzini & Marco Torresi & Francesco Cupertino, 2018. "Wind Micro-Turbine Networks for Urban Areas: Optimal Design and Power Scalability of Permanent Magnet Generators," Energies, MDPI, vol. 11(10), pages 1-21, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2759-:d:175725
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    References listed on IDEAS

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    1. Tariq Abdulsalam Khamlaj & Markus Peer Rumpfkeil, 2017. "Theoretical Analysis of Shrouded Horizontal Axis Wind Turbines," Energies, MDPI, vol. 10(1), pages 1-19, January.
    2. Tiejiang Yuan & Nan Yang & Wei Zhang & Wenping Cao & Ning Xing & Zheng Tan & Guofeng Li, 2018. "Improved Synchronous Machine Rotor Design for the Easy Assembly of Excitation Coils Based on Surrogate Optimization," Energies, MDPI, vol. 11(5), pages 1-15, May.
    3. Andrés Bravo Cuesta & Francisco Javier Gomez-Gil & Juan Vicente Martín Fraile & Jesús Ausín Rodríguez & Justo Ruiz Calvo & Jesús Peláez Vara, 2013. "Feasibility of a Simple Small Wind Turbine with Variable-Speed Regulation Made of Commercial Components," Energies, MDPI, vol. 6(7), pages 1-19, July.
    4. Yuji Ohya & Takashi Karasudani, 2010. "A Shrouded Wind Turbine Generating High Output Power with Wind-lens Technology," Energies, MDPI, vol. 3(4), pages 1-16, March.
    5. Guobin Peng & Jin Wei & Yujun Shi & Ziyun Shao & Linni Jian, 2018. "A Novel Transverse Flux Permanent Magnet Disk Wind Power Generator with H-Shaped Stator Cores," Energies, MDPI, vol. 11(4), pages 1-19, March.
    6. Baroudi, Jamal A. & Dinavahi, Venkata & Knight, Andrew M., 2007. "A review of power converter topologies for wind generators," Renewable Energy, Elsevier, vol. 32(14), pages 2369-2385.
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    Cited by:

    1. Henda Zorgani Agrebi & Naourez Benhadj & Mohamed Chaieb & Farooq Sher & Roua Amami & Rafik Neji & Neil Mansfield, 2021. "Integrated Optimal Design of Permanent Magnet Synchronous Generator for Smart Wind Turbine Using Genetic Algorithm," Energies, MDPI, vol. 14(15), pages 1-20, July.
    2. Diego Calabrese & Gioacchino Tricarico & Elia Brescia & Giuseppe Leonardo Cascella & Vito Giuseppe Monopoli & Francesco Cupertino, 2020. "Variable Structure Control of a Small Ducted Wind Turbine in the Whole Wind Speed Range Using a Luenberger Observer," Energies, MDPI, vol. 13(18), pages 1-23, September.
    3. Luca Salvadori & Annalisa Di Bernardino & Giorgio Querzoli & Simone Ferrari, 2021. "A Novel Automatic Method for the Urban Canyon Parametrization Needed by Turbulence Numerical Simulations for Wind Energy Potential Assessment," Energies, MDPI, vol. 14(16), pages 1-22, August.
    4. Elia Brescia & Donatello Costantino & Paolo Roberto Massenio & Vito Giuseppe Monopoli & Francesco Cupertino & Giuseppe Leonardo Cascella, 2021. "A Design Method for the Cogging Torque Minimization of Permanent Magnet Machines with a Segmented Stator Core Based on ANN Surrogate Models," Energies, MDPI, vol. 14(7), pages 1-26, March.
    5. Lorenzo Alessi & José A. F. O. Correia & Nicholas Fantuzzi, 2019. "Initial Design Phase and Tender Designs of a Jacket Structure Converted into a Retrofitted Offshore Wind Turbine," Energies, MDPI, vol. 12(4), pages 1-28, February.

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