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We have seen with research we can design more advanced internal combustion engines which are more efficient and produce less pollution, so we must continue our research in this area to design engines with near-zero emissions. With added pollutant formation and electricity load in batteries production and charging Electric Vehicles, the use of these cars will be only justifiable when we have sufficient renewable energy resources.
Pourya Rahnama is a Doctoral candidate in the Power and Flow group at the Department of Mechanical Engineering of Eindhoven University of Technology (TU/e). His research interests are in the area of Internal Combustion Engines (ICEs) and turbulent combustion models. He uses Computational Fluid Dynamic (CFD) simulation, optimization algorithms, and machine learning models to explain mechanisms controlling the engine performance and emission formation.
Pourya obtained his master's degree at Iran University of Science and Technology (IUST). His master thesis is about model development for Reactivity Controlled Compression Ignition (RCCI) engines. During his master's program, Pourya has achieved the titles of Top Researcher and Distinguished Student in the Department of Automotive Engineering.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Paykani, A., Garcia, A., Shahbakhti, M., Rahnama, P. & Reitz, R., 15 Jan 2021, In: Applied Energy. 282A, 23 p., 116174.
Research output: Contribution to journal › Article › Academic › peer-review
A chemical kinetic study of low alcohol/iso-octane blends in both premixed and partially premixed combustionRahnama, P., Bao, H., Somers, L. M. T., Paykani, A. & Novella, R., 14 Apr 2021. 8 p.
Research output: Contribution to conference › Paper › AcademicOpen AccessFile27 Downloads (Pure)
Combining flamelet-generated manifold and machine learning models in simulation of a non-premixed diffusion flameLi, K., Rahnama, P., Novella, R. & Somers, B., Oct 2023, In: Energy and AI. 14, 16 p., 100266.
Research output: Contribution to journal › Article › Academic › peer-reviewOpen AccessFile3 Downloads (Pure)
Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry modelsRahnama, P., Maghbouli, A., Bao, H., Vasavan, A., Novella, R. & Somers, B., Jun 2023, In: Applications in Energy and Combustion Science. 14, 15 p., 100132.
Research output: Contribution to journal › Article › Academic › peer-reviewOpen AccessFile
A Numerical Study of Fuel Stratification, Heat Transfer Loss, Combustion, and Emissions Characteristics of a Heavy- Duty RCCI Engine Fueled by E85/DieselWillems, A., Rahnama, P., Somers, B. & Novella, R., 16 Sept 2022. 26 p.
Research output: Contribution to conference › Paper › AcademicFile22 Downloads (Pure)