Prof. Marc A. Rosen
Faculty of Engineering and Applied Science
University of Ontario Institute of Technology, Oshawa, Ontario, Canada
Exergy Methods for Addressing Climate Change and Other Environmental Impacts
The use of exergy methods is described as tools for addressing climate change so the benefits can be appreciated and attained. Exergy can be used to understand climate change measures and to assess and improve energy systems, and can help better understand the benefits of utilizing sustainable energy by providing more useful and meaningful information than energy provides. Exergy clearly identifies efficiency improvements and reductions in wastes and environmental impacts attributable to sustainable energy. Exergy can also identify better than energy the environmental benefits and economics of energy technologies. Exergy should be applied in addressing climate change
Exergy; climate change; environment; ecology; energy.
Marc A. Rosen, Ph.D., is a Professor at University of Ontario Institute of Technology in Oshawa, Canada, where he served as founding Dean of the Faculty of Engineering and Applied Science. Dr. Rosen has served as President of the Engineering Institute of Canada and of the Canadian Society for Mechanical Engineering. He has acted in many professional capacities, including Editor-in-Chief of various journals and a Director of Oshawa Power and Utilities Corporation. With over 70 research grants and contracts and 900 technical publications, Dr. Rosen is an active teacher and researcher in sustainable energy, sustainability, and environmental impact. Much of his research has been carried out for industry. Dr. Rosen has worked for such organizations as Imatra Power Company in Finland, Argonne National Laboratory near Chicago, the Institute for Hydrogen Systems near Toronto, and Ryerson University in Toronto, where he served as Chair the Department of Mechanical, Aerospace and Industrial Engineering. Dr. Rosen has received numerous awards and honours, and is a Fellow of numerous societies .
Prof. Werner J.F. Weppner
Institute of Materials Science, Faculty of Engineering, Christian-Albrechts-University, Germany
Ceramic Electrolytes and Electrodes for All-Solid-State Batteries with High Energy and Power Density –Environmentally Benign, Inexpensive, Safe and Long Lasting
Prof. Werner Weppner holds since 1993 the Chair for Sensors and Solid State Ionics at the Faculty of Engineering of Christian Albrechts University, Kiel, Germany. He has been earlier at the Max-Planck-Institute for Solid State Research, Stuttgart and a Research Professor at Stanford University, CA, USA, in the Department of Materials Science and Engineering. Prof. Weppner holds a diploma in physics from Mainz University and a Ph.D. in chemistry from Dortmund University, both Germany. His research interests are based on fast ionic transport in solids and include both fundamental understanding and practical application aspects.
Prof. EDDIE YK NG
School of Mechanical & Aerospace Engineering, College of Engineering, Nanyang Technological University, Singapore
New analytical wake models based on artificial intelligence for both uniform and ABL inflows
New analytical wake models are derived from the soft computing technique, called Genetic Programming (GP) to predict wake velocities and turbulence intensity. The design of the wind farm’s appropriate layout is essential for minimizing cost and maximizing the wind farm power generation. This needs a precise wake velocity model to simulate the wake effect of the wind farm within a limited time duration. Furthermore, prediction of turbulence in the wake due to ambient flow and rotor-generated is extremely crucial owing to its contribution to fatigue loads and structural failures of the downstream wind turbines. This talk discusses the classical to the recent analytical wake velocity and turbulence intensity models derived based on hard computing techniques in detail and their limitations. The significant constraints are the consideration of uniform inflow without integrating Atmospheric Boundary Layer (ABL) impacts for the forecast of wake velocity and estimation of single value of turbulence intensity while it radially varies at distinct downstream distances of the wind turbine. Eventually, these constraints are tackled and new AI models for wake velocity and turbulence intensity profiles are formulated for both uniform and ABL inflows. The existing and proposed models are compared with the previous NREL Phase VI wind turbine CFD study for uniform and ABL inflows and it was observed that the proposed models are precise.
Ng obtained a B. Eng (CL I) from Uni. of Newcastle upon Tyne; Ph.D. at Cambridge Univ. with a Cambridge Commonwealth Scholarship; PG Diploma in Teaching Higher Edu., NIE-NTU. He is a Fellow of the American Society of Mechanical Engineers (FASME); Fellow of Institute of Engineering and Technology (FIET, United Kingdom); Fellow of International Engineering and Technology Institute (FIETI, Hong Kong), and member for Academy of Pedagogy and Learning, USA. His expertise is in commercial and in-house developed software to perform numerical simulation in the biomedical engineering (BME), thermal-fluid and health-related diagnosis fields. He has been an editorial board member for 10 journals and reviewer for 30 journals. He was Editor-in-Chief for 2 ISI-journals which were captured by the JCR within 2-years of their inauguration. He is an expert research funding reviewer for many funding agencies worldwide. He has been recognized internationally for academic excellence. He received numerous best papers, service awards and has directly supervised 5 RFs, graduated 24 PhD and 28 Master students. He was awarded the SPRING-Singapore Merit Award for his work in thermal imagers to screen SARS fever as well as contributions to the Singapore Standardization Program. Being a co-inventor of 3 US patents on software classifiers to identify the different stages of breast cancer development in iTBra-system, he was accoladed with equity in a listed company. His ongoing work on non-contact screening for carotid artery stenosis and superficial vein-finder has resulted in 3 filing patents. He has notable citations in the field of infrared physics & technology in BME research.
Dr. Farhad Shahnia
Murdoch University, Australia
Recent and Future Research on Microgrid Clusters
Electricity systems around the world are experiencing a radical transition as the consequence of replacing fossil fuels, used for electricity production, by sustainable and cleaner energies. The growing penetration of renewable energies requires smarter techniques capable of handling the uncertainties of these intermittent sources. Along with this change, traditionally centralised power systems are also converting into distributed self-sufficient systems, often referred to as microgrids, that can operate independently. This talk will focus on remote area microgrids as a hot research topic in Australia and Southeast Asia that have hundreds of remote and off-grid towns and communities, and islands. It is expected that remote area microgrids will strongly benefit these remote locations in the forthcoming years. This talk will briefly introduce the progress of research in this field around the world and Australia, and will also discuss some of the technical challenges associated with interconnection of neighbouring microgrids as a key step to improve their survivability in the course of unexpected imbalances between the demand and the available generation from intermittent renewable resources.
A/Professor Farhad Shahnia received his PhD in Electrical Engineering from Queensland University of Technology (QUT), Brisbane, in 2012. He is currently an A/Professor at Murdoch University. Before that, he was a Lecturer at Curtin University (2012-15), a research scholar at QUT (2008-11), and an R&D engineer at the Eastern Azarbayjan Electric Power Distribution Company, Iran (2005-08). He is currently a Fellow member of Engineers Australia, Senior Member of IEEE, and member of the Australasian Association for Engineering Education.
Farhad’s research falls under Distribution networks, Microgrid and Smart grid concepts. He has authored one book and 11 book chapters and 100+ peer-reviewed scholarly articles in international conferences and journals, as well as being an editor of 6 books.
Farhad has won 5 Best Paper Awards in various conferences and has also received the IET Premium Award for the Best Paper published in the IET Generation, Transmission & Distribution journal in 2015. One of his articles was listed under the top-25 most cited articles in the Electric Power System Research Journal in 2015 while one of his 2015 journal articles has been listed under the top-5 most read articles of the Australian Journal of Electrical and Electronics Engineering. He was the recipient of the Postgraduate Research Supervisor Award from Curtin University in 2015 and the Australia-China Young Scientist Exchange Award from the Australian Academy of Technology and Engineering in 2016.
Farhad is currently a Subject Editor, Deputy Subject Editor, and Associate Editor of several journals including IEEE Access, IET Generation, Transmission & Distribution, IET Renewable Power Generation, IET Smart Grid, IET Energy Conversion and Economics, and International Transaction on Electrical Energy Systems and has served 35+ conferences in various roles such as General, Technical, Publication, Publicity, Award, Sponsorship, and Special Session Chairs.
Farhad is currently the Chair of the IEEE Western Australia Section and a member of IEEE’s Industrial Electronics Society (IES)’s Technical Committees of Smart Grid and Energy Storage