Grant: Discovery Grants Program - Individual

Computational fluid dynamics enables the detailed study of fluid dynamics, heat transfer, mass transfer, and reactions in industrial processes. In fact, in many cases, detailed simulation is the only feasible method to gather local-scale information about the rate-limiting steps in such processes because experimental methods may be either unavailable, too complex, or too expensive. Consequently, computational fluid dynamics methods have become an important tool for the analysis, optimization, design, and development of innovative intensified process technologies for a wide range of applications. However, despite significant advances in recent years, it is still very difficult to accurately simulate gas-liquid flows that involve complex geometries with a wide range of length scales, complex operating conditions, transitions between flow regimes, and/or strong coupling between transport processes. Addressing these deficiencies in currently available simulation tools will facilitate the development of better engineered systems and more efficient process technologies, which will lead to safer operation, reduced waste production, and decreased energy usage in many industry sectors including renewable fuels, chemicals, fine chemicals, and pharmaceuticals production. In this research program, we will develop new tools for the simulation of gas-liquid flows with mass transfer, heat transfer, and reactions through the study of slurry bubble column reactors that will be used for carbon dioxide methanation with renewable hydrogen to produce synthetic natural gas. Since methanation enables carbon dioxide and renewable hydrogen conversion while producing a convenient fuel that can be easily integrated into existing fuel distribution and utilization infrastructure, this research program will advance Canada's goals to reduce greenhouse gas emissions, exploit more renewable energy sources, and implement a hydrogen-based economy. Furthermore, the newly developed computational tools and advances in the fundamental understanding of gas-liquid flows provided by this research will enable future technological innovation in the process industries. Additionally, these research efforts will lead to the training of a diverse group of Highly Qualified Personnel in advanced computational techniques and experimental methods, which will support future development of Canada's knowledge-based economy, particularly in the engineering consulting and process industries.