The PhD project aims to develop advanced modeling techniques for electrified structured reactors, critical in achieving net-zero emissions targets. As the global community intensifies efforts to mitigate climate change, the electrification of chemical processes presents a promising pathway to reduce greenhouse gas emissions associated with traditional fossil fuel-based systems. This research focuses on integrating renewable energy sources into structured reactor designs, enhancing their efficiency and sustainability. Thus, it can be foreseen that renewable electricity can be harnessed to run reactions that convert gases to liquid fuels, which can then act “carriers” of this energy (renewable electricity) into the liquid fuel pool without any need to change the transportation sector fuel infrastructure. The project will employ computational fluid dynamics (CFD) and process simulation tools to model the behavior of electrified reactors under various operating conditions. Key objectives include optimizing reactor geometry and electric field configurations to maximize reaction rates and selectivity while minimizing energy consumption. The study aims to identify optimal design parameters that facilitate effective syngas conversion and other key chemical processes by analysing the interplay between electrical inputs and catalytic surfaces. In addition to theoretical modeling, experimental validation will be conducted to assess the performance of prototype reactors. The outcomes of this research are expected to provide insights into the scalability of electrified structured reactors for industrial applications, contributing to the broader goal of transitioning towards a sustainable energy future. Ultimately, this project seeks to advance the understanding of electrification in chemical and process engineering, supporting global efforts to achieve net-zero emissions by mid-century. Background required: Bachelor’s or Master’s degree in Chemical or Mechanical Engineering, or related areas. Strong interest and background in mathematical modeling is desirable. Good understanding of electromagnetism and basic Electrical Engineering is desirable. .
“Elevating Horizons Through Discovery and Ingenuity”