In 2014, she joined OPAL-RT TECHNOLOGIES where she is presently a technical lead in control and intelligent mobility. From 2010 to 2014, she worked as a consultant in control and systems engineering. In 2008, she joined the electrical department of the Royal Military College of Kingston as an assistant professor and, in 2009, she was a visiting assistant professor at the American University of Beirut. She moved to Meta Vision Systems in 2006-2007 as a control and applications engineer. studies she worked on a part-time basis at Robotics Design as a control and robotics engineer. degree in Robotics Modelling and Control from McGill University, Montreal, QC, Canada, in 2006. He is involved in the design of test centers for smart grids, participates in various national and European research projects, is part of several working groups, such as the IEEE Task Force РІР‚СљReal-Time Simulation of Power and Energy SystemsРІР‚Сњ, the IEEE P2004 Working Group РІР‚СљRecommended Practice for HIL Simulation Based TestingРІР‚Сњ and he is National Expert and Operating Agent of the IEA-ISGAN Annex 5 РІР‚СљSmart Grid International Research Facility NetworkРІР‚Сњ.Р”Вanielle Sami Nasrallah received an EngineerРІР‚в„ўs diploma in electromechanical engineering and a DiplР“Т‘me dРІР‚в„ўР“вЂ°tudes Approfondies in electrical engineering from Р“вЂ°cole supР“В©rieure dРІР‚в„ўingР“В©nieurs de Beyrouth (Р“вЂ°SIB), Beirut, Lebanon in 20, respectively, and a Ph. His expertise covers topics such as real-time simulations, power hardware-in-the-loop technology, power electronics and system stability, electromobility and AI in energy. Additionally, Ron Brandl is working as project manager and researcher at the European Distributed Energy Resource Laboratories e.V. Since 2011, Ron Brandl is working as a research associate at the Fraunhofer Institute for Energy Economics and Energy System Technology РІР‚вЂњ IEE, where he heads the group РІР‚ВPower Electronics ApplicationsРІР‚в„ў and is part of the Fraunhofer Competence Center РІР‚ВCognitive Energy SystemsРІР‚в„ў. Ron Brandl completed his studies in electrical engineering in 2010 and received his doctorate in engineering from the University of Kassel in 2018. The IM was validated satisfactorily with RTS and a protection device (with unknown pinouts) in the loop.Р”Вr. The sequence to recognize IED pinouts and calculate the current/voltage scaling factors is described. In this paper, the IM was based on using an interface box, power source, and RTS to identify IED inputs/outputs. Then, the validation of protection and control systems with RTSs and IEDs in the loop from different vendors without amplifiers results in an unfeasible alternative. Additionally, commercial amplifiers have cutoff frequency limitations and have an excessive cost when several IEDs are wired onto test beds. Most of the emulation test beds with RTSs and HIL need amplifiers to connect IEDs from different product manufacturers because the low-voltage interface levels are not available in some instruction manuals. These protection devices have pinouts that measure bus voltages/currents and breaker pole states and generate trip/close pulse signals. It is a significant topic for the power systems protection community because there are many protection devices with different requirements. More detail added in your kinetics simulations with a new framework in Ansys Chemkin-Pro that now supports a liquid phase.This study presents an interface method (IM) to interconnect real-time simulators (RTSs) without amplifiers for different intelligent electronic devices (IEDs), such as protective relays, smart meters, and other devices.Combustion enhancements to help push decarbonization efforts with a new strained-FGM model for better NOx and CO predictions, as well as validation of recommended hydrogen concentrations and hydrogen blends.Embedded best practices in the automated mesh adaption setup for combustion and multiphase applications, resulting in cell count reductions of up to 70%.A new built-in workflow for wall recession to model surface ablation.Increased accuracy for hypersonic simulations with built-in thermodynamic non-equilibrium effects, NASA-9 coefficient material properties and partial slip-wall model for rarefied flows.Up to 5X speed ups for high-speed flows to Mach 30 and above, with improved treatment of reaction sources in the density-based solver.Accurate and efficient simulation of bulk granular flows by coupling discrete element simulations to fluids and structures with Ansys Rocky.This release delivers features for improved workflows and more advanced simulations, including:

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