Dr.ir. J.W.R. Peeters
Dr.ir. J.W.R. Peeters
Profiel
As an assistant professor at TU Delft, I investigate microscale heat transfer phenomena in novel energy technology, such as waste heat recovery systems, but also electrolysers and fuel cells. I am particularly interested in understanding how these phenomena affect the design and performance of such technologies.
For my personal website, please visit:
Onderzoeksinteresses
- turbulence & roughness
- convective heat transfer
- analytical & numerical methods
- equipment design
- heat generation in fuel cells & electrolysers
Academische achtergrond
Jurriaan Peeters obtained his MSc. degree in Applied Physics at Delft University of Technology. Thereafter, he briefly worked as a CFD consultant for the Nuclear Research & Consultancy Group (Petten, NL) after which he opted to become a PhD-candidate at TU Delft with professors B.J. Boersma, T.H.J.J. van de Hagen, M. Rohde & R. Pecnik to study turbulent heat transfer at supercritical pressure. He obtained his PhD in 2016. After a short post-doc with M. Rohde , he became a post-doc at the University of Southampton (UK) under professor N. Sandham, where he studied the effect of wall roughness on turbulent heat transfer. As of 2018, he became an assistant professor at his Alma Mater.
Expertise
Publicaties
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2024
Shear-Driven Hydrogen-Air Mixing in OP16 DLE Combustor
A Comparative Study Between URANS and LES
Teja Donepudi / Rene Pecnik / Jurriaan W. R. Peeters / Sikke Klein / Thijs Bouten / Lars-Uno Axelsson -
2024
Thermodynamic analysis and heat exchanger calculations of transcritical high-temperature heat pumps
An Zhao / Rene Pecnik / Jurriaan W.R. Peeters
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2024
Transient growth in diabatic boundary layers with fluids at supercritical pressure
Pietro Carlo Boldini / Benjamin Bugeat / Jurriaan W.R. Peeters / Markus Kloker / Rene Pecnik
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2023-9-6
Direct numerical simulation of H-type transition in a flat-plate boundary layer with supercritical fluids
P.C. Boldini / Rene Pecnik / J.W.R. Peeters / Benjamin Bugeat / Pedro Costa
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2023
Machine learning for RANS turbulence modeling of variable property flows
Rafael Diez Sanhueza / Stephan H.H.J. Smit / Jurriaan W.R. Peeters / Rene Pecnik
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Nevenwerkzaamheden
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2023-09-07 - 2025-09-07