A Numerical Methodology to Predict the Maximum Power Output of Tidal Stream Arrays

Soheil Radfar, Roozbeh Panahi, Meysam Majidi Nezhad and Mehdi Neshat
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Soheil Radfar: Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran 14115111, Iran
Roozbeh Panahi: Jacobs, Toronto, ON L4G1S1, Canada
Meysam Majidi Nezhad: Department of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy
Mehdi Neshat: Center for Artificial Intelligence Research and Optimization, Torrens University Australia, Brisbane, QLD 4006, Australia

Sustainability, 2022, vol. 14, issue 3, 1-13

Abstract: Due to its high level of consistency and predictability, tidal stream energy is a feasible and promising type of renewable energy for future development and investment. Numerical modeling of tidal farms is a challenging task. Many studies have shown the applicability of the Blade Element Momentum (BEM) method for modeling the interaction of turbines in tidal arrays. Apart from its well-known capabilities, there is a scarcity of research using BEM to model tidal stream energy farms. Therefore, the main aim of this numerical study is to simulate a full-scale array in a real geographical position. A fundamental linear relationship to estimate the power capture of full-scale turbines using available kinetic energy flux is being explored. For this purpose, a real site for developing a tidal farm on the southern coasts of Iran is selected. Then, a numerical methodology is validated and calibrated for the established farm by analyzing an array of turbines. A linear equation is proposed to calculate the tidal power of marine hydrokinetic turbines. The results indicate that the difference between the predicted value and the actual power does not exceed 6%.

Keywords: Blade Element Momentum (BEM); tidal stream energy; hyrokinetic turbines; array layout; tidal farm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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