Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: A Numerical Methodology to Predict the Maximum Power Output of Tidal Stream Arrays
المؤلفون: Soheil Radfar, Roozbeh Panahi, Meysam Majidi Nezhad, Mehdi Neshat
المصدر: Sustainability; Volume 14; Issue 3; Pages: 1664
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2022
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: Blade Element Momentum (BEM), tidal stream energy, hyrokinetic turbines, array layout, tidal farm
جغرافية الموضوع: agris
الوصف: 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%.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: Energy Sustainability; https://dx.doi.org/10.3390/su14031664
DOI: 10.3390/su14031664
الاتاحة: https://doi.org/10.3390/su14031664
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.8A770490
قاعدة البيانات: BASE