Radfar, S.; Panahi, R.; Majidi Nezhad, M.; Neshat, M. A Numerical Methodology to Predict the Maximum Power Output of Tidal Stream Arrays. Sustainability, 2022, 14, 1664. https://doi.org/10.3390/su14031664.
Radfar, S.; Panahi, R.; Majidi Nezhad, M.; Neshat, M. A Numerical Methodology to Predict the Maximum Power Output of Tidal Stream Arrays. Sustainability, 2022, 14, 1664. https://doi.org/10.3390/su14031664.
Radfar, S.; Panahi, R.; Majidi Nezhad, M.; Neshat, M. A Numerical Methodology to Predict the Maximum Power Output of Tidal Stream Arrays. Sustainability, 2022, 14, 1664. https://doi.org/10.3390/su14031664.
Radfar, S.; Panahi, R.; Majidi Nezhad, M.; Neshat, M. A Numerical Methodology to Predict the Maximum Power Output of Tidal Stream Arrays. Sustainability, 2022, 14, 1664. https://doi.org/10.3390/su14031664.
Abstract
Tidal stream energy, due to its high level of consistency and predictability, is one of the feasible and promising type of renewable energy for future development and investment. Applicability of Blade Element Momentum (BEM) method for modeling the interaction of turbines in tidal arrays has been proven in many studies. Apart from its well-known capabilities, yet there is scarcity of research using BEM for the modeling of tidal stream energy farms considering full scale rotors. In this paper, a real geographical site for developing a tidal farm in the southern coasts of Iran is selected. Then, a numerical methodology is validated and calibrated for the selected farm by analyzing array of turbines. A linear equation is proposed to calculate tidal power of marine hydrokinetic turbines. This methodology narrows down the wide range of turbine array configurations, reduces the cost of optimization and focuses on estimating best turbine arrangements in a limited number of positions.
Keywords
BEM; tidal energy; turbine array; linear methodology; wind energy
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
