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        Micro turbo expander design for small scale ORC

        Tesla turbine

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        Author(s)
        Talluri, Lorenzo
        Language
        English
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        Abstract
        The Tesla expander was first developed by N. Tesla at the beginning of the 20th century. In recent years, due to the increasing appeal towards micro power generation and energy recovery from wasted flows, this cost effective expander technology rose a renovated interest. In the present study, a 2D numerical model is realized and a design procedure of a Tesla turbine for ORC applications is proposed. A throughout optimization method is developed by evaluating the losses of each component. The 2D model results are further exploited through the development of 3D computational investigation, which allows an accurate comprehension of the flow characteristics. Finally, two prototypes are designed, realized and tested. The former one is designed to work with air as working fluid. The second prototype is designed to work with organic fluids. The achieved experimental results confirmed the validity and the large potential applicative chances of this emerging technology in the field of micro sizes, low inlet temperature and low expansion ratios.
        URI
        https://library.oapen.org/handle/20.500.12657/55636
        Keywords
        Tesla turbine; fluid dynamics; ORC; micro expanders; experimental campaign
        DOI
        10.36253/978-88-5518-061-0
        ISBN
        9788855180610, 9788855180610, 9788855180603, 9788855180627
        Publisher
        Firenze University Press
        Publisher website
        https://www.fupress.com/
        Publication date and place
        Florence, 2020
        Series
        Premio Tesi di Dottorato, 87
        Pages
        234
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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