Dr. Ralph T. Muehleisen is the Principal Building Scientist, the Building Energy Decision and Technology Research (BEDTR) Group leader, and the Urban Science and Engineering Program lead for Argonne’s Energy Systems division. At Argonne, Dr. Muehleisen leads research to increase the energy efficiency and resiliency of the built environment while improving the quality of life and return on investment for citizens. His projects include urban science and engineering, stochastic building energy modeling, reduced order building energy modeling, risk analysis of building energy retrofits, Bayesian Calibration methods for building energy models, agent based models for understanding adoption of retrofit technologies, smart building/smart grid integration, and the development of new energy efficient and diagnostic technologies buildings. Dr. Muehleisen is the author of over 180publications and presentations, and is a frequent invited speaker in the areas of urban science and engineering, building energy modeling, architectural acoustics and noise control.
Vladimir Koritarov is the Manager of the CEESA Power Systems group in Argonne National Laboratory’s Energy Systems division. The group provides analytical services on strategic energy and environmental issues to government agencies, international organizations, and private institutions around the world. He is also a Senior Fellow at the University of Chicago’s Energy Policy Institute at Chicago (EPIC). Koritarov has over 30 years of experience in the analysis and modeling of electric and energy systems in domestic and international applications. Currently, he serves as Argonne’s Program Manager for Water Power Program, which includes hydropower and marine and hydrokinetic technologies.
Most recently, Koritarov has been working on the development of new agent-based modeling approaches for the simulation of energy and electricity markets, and applying advanced simulation methods to study the role and possible evolution of non-conventional energy resources, such as renewable generation and energy storage.
Guenter Conzelmann is Manager of the Advanced Grid Modeling group in Argonne National Laboratory’s Energy Systems division. His research focuses on the development and application of modeling and simulation tools to study strategic energy and power sector issues, including renewable energy integration, smart grid and microgrid implementation, advanced grid modeling, and energy sector resilience. He is a senior fellow with the EPIC Energy Policy Institute at the University of Chicago and an adjunct faculty member with the Stuart School of Business at the Illinois Institute of Technology. Mr. Conzelmann is also the author or co-author of numerous publications, including journal articles, book contributions, conference papers, and sponsor reports in the energy and power systems field. He is frequently invited to speak on these subjects at conferences, workshops, and training courses around the world.
Audun Botterud is an Energy Systems Engineer in the Center for Energy, Environmental and Economic Systems Analysis. His research focuses on modeling and analysis of electricity markets and power systems, using a variety of mathematical optimization and simulation methods. He is particularly interested in decision making under uncertainty as it pertains to the planning and operation of power and energy systems.
After joining Argonne in 2005, Botterud contributed to the development of the Electricity Market Complex Adaptive System (EMCAS) model and agent-based simulator of restructured electricity markets. More recently, his work has focused on challenges related to the integration of renewable energy (wind and solar) into the electric power grid. He led a project on improved wind power forecasting and better use of forecasts in electricity markets.
Previous to his tenure at Argonne, Botterud was part of SINTEF Energy Research in Trondheim, Norway. At SINTEF, he developed optimization tools for hydropower scheduling and reservoir management, and conducted studies of the Nordic electricity market. Some of his Ph.D. studies were performed at the Massachusetts Institute of Technology.
He has more than 10 years of industrial and research experience in automation, instrumentation, and control. He holds a doctorate in nuclear engineering from Texas A&M University, a master’s degree in information technology and automation systems from Esslingen University of Applied Science in Germany, and a bachelor’s degree in mechanical engineering from Jordan University of Science and Technology in Jordan. In 2015, he joined Idaho National Laboratory as a research and development scientist with special focus on nuclear automation, instrumentation, and control. Before earning his doctorate, he worked at Asea Brown Boveri for 6 years and was a lead distributed control systems engineer by 2010. While pursuing his degree, he researched various nuclear engineering topics at Texas A&M University and worked for a year at the International Atomic Energy Agency (IAEA). He also worked for Daimler Chrysler-Mercedes Group and Fraunhofer Institute for Production and Automation in Germany. He is a senior Institute of Electrical and Electronics Engineers (IEEE) member and author of several publications and technical reports. He is also a reviewer of nuclear energy and IEEE journals and U.S. Department of Energy grants.
With 23 years of experience in engineering design, safety, and analysis of nuclear and energy systems, he has served as a principal member of the technical staff at Sandia National Laboratories since 1995, as well as a research associate professor at the University of New Mexico since 2012. His key areas of expertise include computational fluid dynamics, turbulence, dimpling, swirl, advanced manufacturing, and heat transfer. He is experienced with gas, water, molten salt, and heavy-water cooled reactors, including large, small, and miniature reactors. His primary technical achievements include right-sized dimpling, the LIKE algorithm, design of advanced fire sprinklers, isotropic turbulence decay model, development of five new vortices, a vortex unification theory, dynamic swirl modeling, and central recirculation zone modulation. He earned a doctorate in nuclear engineering from the University of New Mexico, as well as a doctorate in philosophy and apologetics from Trinity Seminary and College. He earned two master’s degrees in applied mathematics from the University of New Mexico and mechanical engineering from the University of Idaho, and a bachelor’s in nuclear engineering from the University of California - Santa Barbara. He is currently writing an engineering book for the Springer Publishing Company entitled, “Applied Computational Fluid Dynamics and Turbulence Modeling.”
Dr. Stephen M. Folga is a senior manager in the Risk and Infrastructure Science Center at Argonne National Laboratory. He has been involved for more than 15 years in projects related to infrastructure assurance. During that time, he contributed to the development of systems analysis methodologies to use in natural gas and petroleum fuels infrastructure assessments. He also developed methodologies for estimating the potential consequences of component disruption and the time needed to return disrupted components into service. Dr. Folga has helped to determine the interdependencies between the natural gas and petroleum infrastructures with other critical energy infrastructures, such as electric power and telecommunications