System for Evaluating the Energy Potential of Large Wind Turbines

This study uses a system specification and testing model to evaluate the energy potential of large wind turbines by examining how variations in rated power output (RPO), rotor diameter (RD), maximum tip speed (MTS), and hub height (HH) impact energy production. Scaling these parameters of an 8 MW offshore wind turbine by 50%, 37.5%, 25%, and 12.5% and testing them on two generators, including single-stage-low speed generator (SSLSG) and direct-drive generator (DDG). This reveals that only the 37.5%, 25%, and 12.5% increments yield viable energy results, with DDG outperforming SSLSGs in terms of capacity factor (CF) and energy output. The 50% increment, however, does not produce viable results. While the simulator demonstrated impressive outcomes, it did not account for the topography and terrain of the offshore locations.

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Publication Details

Published
2024-08-10
DOI
https://doi.org/10.1109/iccccm61016.2024.11039949
Primary Topic
Advanced Power Generation Technologies
Type
article
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article

System for Evaluating the Energy Potential of Large Wind Turbines

Ahmed G. Abo‐Khalil, Ramesh C. Bansal, Mukwanga W. Siti, Nsilulu T. Mbungu et al.
Advanced Power Generation Technologies
article

System for Evaluating the Energy Potential of Large Wind Turbines

Ahmed G. Abo‐Khalil, Ramesh C. Bansal, Mukwanga W. Siti, Nsilulu T. Mbungu, Benjamin Chalikosa
article en

Abstract

This study uses a system specification and testing model to evaluate the energy potential of large wind turbines by examining how variations in rated power output (RPO), rotor diameter (RD), maximum tip speed (MTS), and hub height (HH) impact energy production. Scaling these parameters of an 8 MW offshore wind turbine by 50%, 37.5%, 25%, and 12.5% and testing them on two generators, including single-stage-low speed generator (SSLSG) and direct-drive generator (DDG). This reveals that only the 37.5%, 25%, and 12.5% increments yield viable energy results, with DDG outperforming SSLSGs in terms of capacity factor (CF) and energy output. The 50% increment, however, does not produce viable results. While the simulator demonstrated impressive outcomes, it did not account for the topography and terrain of the offshore locations.

Tshwane University of Technology (ZA), University of Sharjah (AE), University of Pretoria (ZA)
Affordable and clean energy
Openalex Percentile: Top 72%
Advanced Power Generation Technologies
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