CPEEE 2026-Invited Speakers

Asst. Prof. Yu-Jen Chen, Southern Taiwan University of Science and Technology (STUST), Taiwan

• Dr. Yu-Jen Chen is an Assistant Professor in the Department of Mechanical Engineering at Southern Taiwan University of Science and Technology (STUST). He specializes in the design of fluid-based renewable energy systems, with research interests that include low-speed, high-torque axial flux permanent magnet (AFPM) generator design, fluid machinery energy conversion, digital twin, and intelligent predictive maintenance systems. Dr. Chen has led multiple interdisciplinary projects on green energy applications and aquaculture sustainability, integrating digital sensing and microgrid technologies into local communities. He has published extensively and presented his work in international journals and conferences related to renewable and clean energy. In addition to academic research, Dr. Chen actively promotes innovation and entrepreneurship education, guiding student teams to develop practical renewable energy solutions and organizing the Taiwan Collegiate Wind Competition (TCWC).
• Speech Title: Application, Development and Analysis of Low-Speed, High-Torque Axial Flux Permanent Magnet Generator for Fluid Machinery Renewable Energies
• Abstract: This presentation introduces the design, development, and performance analysis of a low-speed, high-torque axial flux permanent magnet (AFPM) generator. The proposed generator adopts a series-stator configuration equipped with air-cored windings and NdFeB permanent magnets, enabling direct-drive operation without a gearbox, compact structure, and high efficiency under variable-speed conditions. Experimental verification confirms its linear voltage–speed characteristics and stable electromagnetic behavior, achieving an efficiency range of 80% to 92% under various load conditions. The study further examines the generator’s modular structure and electromagnetic symmetry, demonstrating adaptability to multiple fluid machinery environments. By integrating digital-twin monitoring and predictive maintenance systems, this research aims to enhance the reliability and sustainability of distributed renewable energy systems. The findings contribute to advancing high-performance AFPM technology and its practical implementation in hybrid microgrid and net-zero energy applications.