Journal of Mechatronics and Artificial Intelligence
Vol 1, No 1 (2024): JMAI: June 2024

Analyzing Loss Components in DC Generator for Wind Turbine Applications

Elysa Nensy Irawan (Universitas Pendidikan Indonesia)
Kai Shibuya (Shibaura Institute of Technology)
Nguyen Hong Minh Giang (Hanoi University of Science and Technology)
Rizky Hamdani Sakti (Unknown)



Article Info

Publish Date
02 Jun 2024

Abstract

Direct current (DC) generators have gained attention for their simplicity and reliability in wind turbine applications. However, DC generators are subject to energy losses, including ohmic, magnetic core, and mechanical losses, which impact system performance. This research investigates these losses in DC generators used in wind turbines through experimental testing. The methodology integrates laboratory experiments with simulations to quantify and understand loss mechanisms. Findings offer insights for optimizing wind turbine efficiency and reliability. Results show significant total power loss of 99%, emphasizing the need for meticulous loss assessments. Friction, copper, and iron loss coefficients are analyzed with the value of 0.217 and 0.709, respectively. However, with the rise in input voltage levels, a noticeable pattern becomes evident, where the significance of iron loss decreases relative to other influencing factors. Understanding these dynamics is crucial for enhancing wind turbine performance and advancing sustainable energy solutions.

Copyrights © 2024






Journal Info

Abbrev

JMAI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering

Description

The Journal of Mechatronics and Artificial Intelligence (JMAI) (E-ISSN 3048-4227 P-ISSN 3062-729X) serves as a platform for disseminating scholarly research related to the fields of mechatronics and artificial intelligence, as well as related sub-disciplines. We extend an invitation to researchers, ...