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Job Record #17783
TitlePhD in Modeling of Multi-Phase Cryogenic Flows
CategoryPhD Studentship
EmployerUniversity of Perugia
LocationItaly, Perugia
InternationalYes, international applications are welcome
Closure DateMonday, June 27, 2022
PhD position in Modeling of Multi-Phase Cryogenic Flows

The Department of Engineering at the University of Perugia, Italy, is looking 
for a PhD candidate for a project titled “High Fidelity Large Eddy Simulations 
of Cryogenic Carbon Capture Process”. The PhD position is part of a large 
project involving also KAUST and Cambridge universities.

Project description: 
A novel process in post-combustion technology is the carbon capture using a 
cryogenic process. A CO2-laden flue gas is cooled to desublimation temperatures 
(−100 to −135 °C) and separates CO2 in the solid form. A sprayed contact liquid 
can be used to condense the gas to a solid on liquid droplets so that a liquid 
CO2 stream can be recovered and separated. No equivalent industrial process 
exists and therefore there is no precedent operating experience with these 
The performance of the Cryogenic Carbon Capture (CCC) system depends on 
effective performance of the desublimation spray tower heat exchanger. The 
process design and optimization require insights from high-fidelity multi-
dimensional simulations, validated against novel data. To this end, fundamental 
understanding of underlying physical and chemical processes is critical. The 
proposed PhD project aims to enable and facilitate the CCC technology 
development by enhancing predictive capabilities through high-fidelity modeling 
validated against parallel novel experiments. Since capturing detailed phase 
interfaces is impossible at the device scale, a subgrid-scale (SGS) model for 
interface heat and mass transfers needs to be developed. The models will account 
for the desublimation of carbon dioxide from the flue gas on the drop surface 
and for the dissolution from the frost layer into the inner liquid core. The 
closure models will then be coupled to existing LES multi-phase frameworks. 
These new spray model capabilities will be validated against experimental data, 
collected in spray chamber experiments by partners at the collaborating 
institutions, and then applied to assist the design and optimization of the 
contact liquid desublimating heat exchanger, a crucial component of the 
cryogenic carbon capture system.

Academic context :
The group in Perugia is very active in CFD modeling of two-phase flows and 
combustion, for propulsion and power generation, with a focus on novel fuels, 
including green and decarbonized energy sources. The group has strong expertise 
in the domain of spray modeling and has a large range of national and 
international connections for student exchanges and collaborations.

PhD Objective : 
The research aims to develop a new two-phase flow solver for liquid sprays with 
cryogenic desublimation phase change model. The specific focus is on low-
temperature conditions, multicomponent thermodynamics, sgs models for heat and 
mass transfer associated with the CO2 desublimation on cold spray droplets. The 
code will be developed in OpenFOAM.
The successful PhD candidate will collaborate with prestigious EU and extra-EU 
university partner groups. The candidate will perform large-eddy simulations 
(LES) of two-phase flows using high-performance computing (HPC) resources; 
he/she will also incorporate state-of-the-art experimental measurements to 
improve the accuracy of the models. The candidate will write peer-reviewed 
journal articles, and present the results of the work at international 
conferences and events. 

Qualifications of the candidate: 
Interest in scientific computing, eager to learn and push the boundaries of CFD 
models in novel fields. 
Degree in mechanical/aerospace/chemical engineering, computer science, applied 
mathematics, or equivalent (graduation to be obtained by mid-September 2022).
Extensive experience in computer programming, especially in C++, OpenFOAM, and 
Python. Working knowledge of Git.
Previous experience in one or more of the following areas is highly desirable: 
CFD, fluid mechanics, thermodynamics, and working knowledge of machine learning 

Application and PhD program Duration: 
The PhD application will close on June 27th. The interview will take place in 
July. The enrollment in the PhD program will be in September. The duration is 
for 36 months. The supervision will be Prof. Michele Battistoni (University of 
To apply, please email a single pdf file containing: a cover letter, CV, three 
references, bachelor and master transcripts. In addition, any relevant 
publication, if available.

Contact Information:
Please mention the CFD Jobs Database, record #17783 when responding to this ad.
NameMichele Battistoni
Email ApplicationYes
Record Data:
Last Modified19:43:59, Tuesday, May 10, 2022

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