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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.
Research profile
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.
Academic background
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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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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STW 14927 HiEff
Somers, L. M. T. (Project Manager), de Groot, T. G. A. P. (Project member), van Pinxten, B. B. J. (Project member) & Rahnama, P. (Project member)
1/07/16 → 31/03/24
Project: Research direct
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Reactivity controlled compression ignition engine: Pathways towards commercial viability
Paykani, A. (Corresponding author), 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
69 Citations (Scopus)2 Downloads (Pure) -
A chemical kinetic study of low alcohol/iso-octane blends in both premixed and partially premixed combustion
Rahnama, P., Bao, H., Somers, L. M. T., Paykani, A. & Novella, R., 14 Apr 2021. 8 p.Research output: Contribution to conference › Paper › Academic
Open AccessFile74 Downloads (Pure) -
A Combined 1D/3D Method to Accurately Model Fuel Stratification in an Advanced Combustion Engine
Sadloe, A., Rahnama, P. (Corresponding author), Novella, R. & Somers, B., Mar 2025, In: Fire . 8, 3, 33 p., 117.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Combining flamelet-generated manifold and machine learning models in simulation of a non-premixed diffusion flame
Li, K., Rahnama, P. (Corresponding author), Novella, R. & Somers, B., Oct 2023, In: Energy and AI. 14, 16 p., 100266.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile11 Citations (Scopus)129 Downloads (Pure) -
Generalizing progress variable definition in CFD simulation of combustion systems using tabulated chemistry models
Rahnama, P. (Corresponding author), 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-review
Open AccessFile8 Citations (Scopus)119 Downloads (Pure)