Peter Kelly Senecal

Peter Kelly Senecal is a mechanical engineer, academic and author. He is a co-founder and Owner of Convergent Science and one of the original developers of CONVERGE, a computational fluid dynamics software. Additionally, he holds positions as a visiting professor at the University of Oxford, an adjunct professor at the University of Wisconsin–Madison, and a co-founder and Director of the Computational Chemistry Consortium (C3).

Senecal is most known for his work on the development and use of computational fluid dynamics in the engine design process, the LISA (Linearized Instability Sheet Atomization) spray breakup model, propulsion technology, and for initiating his trademarked movements "hug your engine" and "the future is eclectic." He has authored and co-authored research articles and two books titled Engines and Fuels for Future Transport (which he co-edited) and Racing Toward Zero: The Untold Story of Driving Green, which received the 2022 Independent Press Award for Environment. He is also the recipient of the 2019 ASME Internal Combustion Engine Award, the 2019 HPCwire Award for best use of HPC in Automotive, the 2021 HPCwire Award for best use of HPC for Data Analytics and Artificial Intelligence and the HPCwire Award for best use of HPC in Industry in 2020, 2021 and 2022.

Senecal is a Fellow of the Society of Automotive Engineers (SAE), the American Society of Mechanical Engineers (ASME) and the Combustion Institute. and a book on this topic, as well as spoken at conferences, companies, and universities.

Education and early career Senecal obtained a bachelor's degree in Physics from Lawrence University in 1995. He earned a master's degree in 1997 and a PhD in 2000, both in Mechanical Engineering from the University of Wisconsin–Madison. He served as the Principal Investigator for a research project of the Office of the Secretary of Defense/Air Force in 2008 and has served as Co-PI for government-funded projects and CRADAs since. In 2016, he co-founded the Computational Chemistry Consortium and the Chair of the ASME ICE Division Executive Committee since 2024.

Research Senecal has contributed to the field of mechanical engineering by studying computational fluid dynamics, internal combustion engines, electric motors, fuel chemistry and vehicle life-cycle analysis,

Computational fluid dynamics Senecal researched computational fluid dynamics throughout his career. In a joint study, he modelled Diesel spray flame stabilization, investigating various parameters' impact on flame "lift-off" length, showing agreement with experimental measurements and accurate prediction of ignition delay in a heavy-duty direct injection Diesel engine. He also presented a linear stability analysis of a liquid sheet considering gas effects, surface tension, and viscosity, determining a transition point for simplifying the dispersion relation and correctly forecasting spray characteristics for pressure-swirl atomizers in multi-dimensional simulations. This model, the LISA model, was successfully validated against experimental data. In addition, he simulated an n-dodecane spray flame using LES and a detailed chemistry combustion model, showing differences from RANS predictions and better agreement with experimental data for soot predictions in LES.

Senecal was involved in the development of a new CFD code, employing a modified cut-cell Cartesian technique and advanced numerical methods to simulate complex engine processes. This CFD code, CONVERGE, is now used for applications in biomedical flows, rocket engines, wind turbines, and electric motors.

Internal combustion engines Senecal investigated internal combustion engines, looking into possibilities for optimization. With E. Pomraning, K. J. Richards and S. Som, he proposed an advanced spray modeling approach with Adaptive Mesh Refinement (AMR), demonstrating its effectiveness across various spray scenarios with fine cell sizes and verified grid convergence. He also implemented a coupled Volume-of-Fluid (VOF) method for internal nozzle flow and spray modeling, utilizing an Eulerian single velocity field approach to describe near-nozzle dense sprays and validating the results against experimental data.

Senecal pioneered the use of genetic algorithms (GAs) coupled with CFD to achieve more efficient and cleaner engines and received press coverage for his work. He developed the KIVA-GA code to optimize combustion chamber geometry in diesel engines, achieving reductions in emissions and fuel consumption by adjusting nine input variables simultaneously. He later coupled the GA optimization methodology with his company's CFD code, CONVERGE. Additionally, in 2022, he co-edited Engines and Fuels for Future Transport, where he examined the significance of clean transportation, highlighting the enduring dominance of internal combustion engines (ICEs) despite the growing presence of battery electric vehicles (BEVs), emphasizing the ongoing need to enhance ICE efficiency and reduce exhaust pollutants. In 2021 he founded the ASME webinar series "The Future of the Internal Combustion Engine" to help educate the public on the various ways engines continue to be improved around the globe.

Fuel chemistry Senecal co-founded and directs the Computational Chemistry Consortium (C3).

Vehicle life-cycle analysis Senecal has studied vehicle life-cycle analysis (LCA) to assess diversity in transportation. In his book co-authored with Felix Leach, Racing Toward Zero: The Untold Story of Driving Green, he discussed sustainable transportation, covering propulsion systems, low-carbon fuels, and regulatory measures, emphasizing the importance of a balanced approach that incorporates both internal combustion engine and electric vehicle technologies to achieve low emissions efficiently. They suggested hybrid systems as the fastest route to reducing CO2 emissions in transportation, emphasizing the need for a regional-specific blend of technologies and urging policymakers to set emission reduction targets instead of implementing technology bans.

Later, Senecal and colleagues developed a methodology for comparing emissions from BEVs and hybrid electric vehicles (HEVs) based on marginal electricity emission rates and other publicly available data. At the time of publication, they showed that a mix of powertrain technologies is the best path toward reducing transportation sector emissions until the U.S. grid can provide electricity for the all-electric fleet infrastructure and vehicle operations with a carbon intensity that produces a net environmental benefit. In 2023, he published an alternative blueprint for light-duty transportation decarbonization. 2024 – SAE John Johnson Diesel Engine Research Medal 2024 – Dedicated Service Award, ASME 2025 – Soichiro Honda Medal, ASME 2025 – Luminary Award, University of Wisconsin-Madison Alumni Association