Symbolic Computation Applications in Power Engineering Education

Abstract

He is holding one PHD in power engineering and other one in physics. Before joining to Southern University Dr. Belu hold faculty, research and industry positions at universities and research institutes in Romania, Canada and United States. He also worked for several years in industry as project manager, senior engineer and consultant. He has taught and developed undergraduate and graduate courses in power electronics, power systems, renewable energy, smart grids, control, electric machines, instrumentation, radar and remote sensing, numerical methods, space and atmosphere physics, and applied physics. His research interests included power system stability, control and protection, renewable energy system analysis, assessment and design, smart microgrids, power electronics and electric machines for non-conventional energy conversion, remote sensing, wave and turbulence, numerical modeling, electromagnetic compatibility and engineering education. During his career Dr. Belu published ten book chapters, several papers in referred journals and in conference proceedings in his areas of the research interests. He has also been PI or Co-PI for various research projects United States and abroad in power systems analysis and protection, load and energy demand forecasting, renewable energy, microgrids, wave and turbulence, radar and remote sensing, instrumentation, atmosphere physics, electromagnetic compatibility, and engineering education. Dr. Richard Chiou is Associate Professor within the Engineering Technology Department at Drexel University, Philadelphia, USA. He received his Ph.D. degree in the G.W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His educational background is in manufacturing with an emphasis on mechatronics. In addition to his many years of industrial experience, he has taught many different engineering and technology courses at undergraduate and graduate levels. His tremendous research experience in manufacturing includes environmentally conscious manufacturing, Internet based robotics, and Web based quality. In the past years, he has been involved in sustainable manufacturing for maximizing energy and material recovery while minimizing environmental impact.c American Society for Engineering Education, 2017 Symbolic Computation Applications in Power Engineering EducationRadian Belu, Southern University, Baton Rouge. USA Lucian Cioca, University "Lucian Blaga" of Sibiu, Romania AbstractThe complexity of power system problems requires the use of modern, multiple and advanced computing tools and programs. Software applications in power system operation, analysis and management began several decades ago. As power systems have become increasingly complex and moving towards smart grids there are also critical needs to have available similar tools and programs for training power engineering students. An attractive way of teaching power engineering topics is the use of computer algebra systems. These interactive environments for computation, visualization, and modeling are use...

Modeling and simulation practices for a computational thinking‐enabled engineering workforce

“…If these challenges pose difficulties in introducing new knowledge and skills such as modeling and simulation, the strategies that emerged from the experts’ responses also help engineering educators to address these issues without losses in curriculum content or need of additional credit hours. Some documented effective strategies for integrating computational tools and methods in the curriculum are by aligning modeling and simulation practices with (1) laboratory sessions , (2) introductory programming courses for science and engineering majors , (3) computational modules embedded as projects or homework assignments as part of the overall curriculum [30,31], (4) specific courses in computational science and engineering , and (5) problem‐based learning scenarios vertically integrated that link across courses , among others.…”