Torques and Moments of Inertia Models for Horizontal Axis Hydrokinetic Turbine Driveline
Trends in Computational and Applied Mathematics, ISSN: 2676-0029, Vol: 24, Issue: 2, Page: 229-244
2023
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Most Recent News
Research from Federal University of Para Provides New Data on Computational and Applied Mathematics (Torques and Moments of Inertia Models for Horizontal Axis Hydrokinetic Turbine Driveline)
2024 JUL 18 (NewsRx) -- By a News Reporter-Staff News Editor at Math Daily News -- Investigators publish new report on computational and applied mathematics.
Article Description
ABSTRACT The quantification of torques and moments of inertia for horizontal axis hydrokinetic turbine driveline is important to precisely predict the dynamic behavior of the complete system. Initially, this paper presents different models used in the literature for describing torques and moments of inertia of turbine components. A dynamic model of a small hydrokinetic turbine using belt transmission is developed. The model uses the Blade Element Momentum (BEM) for determining the power coefficient of the turbine rotor. It considers the inertial effects and dissipative torques of the whole system. The results of the turbine dynamical behavior are compared with experimental data, showing good agreement. In order to numerically analyze a more efficient drivetrain, the belt transmission is replaced by a planetary gearbox in the model, and the new results are also assessed. It was found that with planetary gears, a more compact transmission can be used, reducing the inertial effects, bringing a better performance to the machine starting, shortening the transient regime time.
Bibliographic Details
https://tema.sbmac.org.br/tema/article/view/1683; http://dx.doi.org/10.5540/tcam.2023.024.02.00229; http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2676-00292023000200229&lng=en&tlng=en; http://www.scielo.br/scielo.php?script=sci_abstract&pid=S2676-00292023000200229&lng=en&tlng=en; http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2676-00292023000200229; http://www.scielo.br/scielo.php?script=sci_abstract&pid=S2676-00292023000200229; https://dx.doi.org/10.5540/tcam.2023.024.02.00229
Brazilian Society for Computational and Applied Mathematics (SBMAC)
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