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Name
Sean Yang, UL Solutions
Title
Lead R&D Engineer, UL Solutions
Bio
Sean Yang is a lead R&D engineer in UL Solutions’ Fire Research and Development group.
Sean Yang is a Lead R&D Engineer specializing in battery fire safety and thermal runaway research. Before joining UL Solutions, he worked at a Korean governmental company, where he supported U.S. and European certification activities for gas related appliances. Building on that foundation, he now conducts advanced research on battery fires and develops test methodologies to characterize thermal runaway behavior and associated fire hazards. Over the nine years with UL Solutions, he has certified renewable energy products and led numerous projects involving UL 9540A—the Standard Test Method for Evaluating Thermal Runaway Fire Propagation in Battery Energy Storage Systems.
Sean also contributed to the UL 9540A Technical Committee, helping update and refine large scale fire testing requirements. His technical work includes developing methods to analyze energy release of a cell and thermal runaway propagation, running physics based simulations, and applying machine learning to evaluate fire and explosion hazards in battery energy storage systems.
Sean Yang is a Lead R&D Engineer specializing in battery fire safety and thermal runaway research. Before joining UL Solutions, he worked at a Korean governmental company, where he supported U.S. and European certification activities for gas related appliances. Building on that foundation, he now conducts advanced research on battery fires and develops test methodologies to characterize thermal runaway behavior and associated fire hazards. Over the nine years with UL Solutions, he has certified renewable energy products and led numerous projects involving UL 9540A—the Standard Test Method for Evaluating Thermal Runaway Fire Propagation in Battery Energy Storage Systems.
Sean also contributed to the UL 9540A Technical Committee, helping update and refine large scale fire testing requirements. His technical work includes developing methods to analyze energy release of a cell and thermal runaway propagation, running physics based simulations, and applying machine learning to evaluate fire and explosion hazards in battery energy storage systems.
