Observing Generator Performance by Finite Element Analysis Considering Coil Numbers

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Muhammad Afnan Habibi, Mochamad Farhan Ali Irfani, Langlang Gumilar, Arya Kusumawardana, Aripriharta, Angger Baskoro

2023 ICT-PEP 2023 - 2023 International Conference on Technology and Policy in Energy and Electric Power: Decarbonizing the Power Sector: Opportunities and Challenges for Renewable Energy Integration, Proceedings Conference paper Cited by 0 Quartile

Abstract

This paper conducts a comprehensive analysis of electrical generator performance using Finite Element Analysis (FEA), with a specific emphasis on the role of coil numbers in influencing generator efficiency and functionality. In the context of modern energy systems, where efficient power generation is paramount, this research aims to elucidate the relationship between the number of coils within a generator and its overall performance, including power output and electromagnetic behavior. Through systematic FEA simulations that vary coil numbers while keeping other parameters constant, this study provides valuable insights into the trade-offs associated with increased coil numbers and enhanced efficiency. These findings have significant implications for optimizing generator designs across various applications, from renewable energy systems to industrial power generation, ultimately advancing our understanding of generator dynamics and contributing to more sustainable and efficient power generation technologies. © 2023 IEEE.

Affiliations

Universitas Negeri Malang, Study Program of Power Plant Engineering Technology, Malang, Indonesia; Universitas Negeri Malang, Department of Electrical Engineering and Informatics, Malang, Indonesia; National Yang Ming Chiao Tung University, Dept. Electrical Engineering and Computer Sciences, Hsinchu, Taiwan