Abstract:
The need to develop and employ clean energy technologies is imperative to tackle global warming and, at the same time, meet the growing energy demand of society. Examples of clean energy technologies include biomass valorization, enhanced energy efficiency of the existing processes, electrification, and carbon capture. Traditionally, a new process is developed using empirical correlations and experimentation at different scales. This approach is expensive and time consuming and cannot probe a large design space. Recent progress in High Performance Computing (HPC) and ML/AI tools provides a unique opportunity to rapidly develop emerging chemical processes. This talk will focus on the use of computational fluid dynamics (CFD) and machine learning in modeling complex reactors used in biomass conversion into fuels.
Speakers Bio:
Dr Himanshu Goyal is an Assistant Professor in the Department of Chemical Engineering at IIT Madras. Himanshu received his BTech in Chemical Engineering from IIT Guwahati in 2011. Subsequently, he worked at Reliance Industries Limited and the Indian Institute of Science (IISc) Bangalore before starting his PhD program at the School of Chemical Engineering at Cornell University. After his PhD Himanshu joined the University of Delaware as a postdoctoral researcher working on microwave-assisted process intensification. Since 2019 Himanshu has been working as an Assistant Professor at IIT Madras. His research interests lie in modeling and simulating multiphase reactors with applications in clean energy technologies.