Experimental Analysis and Numerical Modelling of Heat Transfer and Fluid Flows in Energy Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".
Deadline for manuscript submissions: closed (30 October 2021) | Viewed by 15933
Special Issue Editors
Interests: computational fluid dynamics; component interaction; gas turbine cooling; pumps and compressors; uncertainty quantification
Special Issues, Collections and Topics in MDPI journals
Interests: internal combustion engines; electrified powertrains; artificial intelligence for sustainable mobility; ADAS
Special Issues, Collections and Topics in MDPI journals
Interests: turbomachinery; flow control; secondary air systems; uncertainty quantification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In order to meet the goals set by the European Commission in terms of reduction of pollutants emission by 2050, the energy systems designers have increased their efforts to adopt greener technologies and to develop innovative solutions. That is especially true in the energy generation and in the propulsion fields that highly contribute to CO2 emissions. It is also evident that newly designed experimental equipment and high-fidelity Computational Fluid Dynamics represent fundamental tools to deal with such demanding outcomes.
For those reasons, the Guest Editor is inviting submissions to a Special Issue of Energies on the subject area of “Experimental Analysis and Numerical Modelling of Heat Transfer and Fluid Flows in Energy Systems”. Topics of interest for publication include, but are not limited to:
- Experimental Analysis
- Computational Fluid Dynamics
- Uncertainty Quantification
- Artificial Intelligence
- Turbomachinery
- Pressure Gain Combustion
- Internal Combustion Engines
- Hybrid Engines
- Heat Transfer
Dr. Simone Salvadori
Prof. Daniela Anna Misul
Dr. Mauro Carnevale
Guest Editors
Manuscript Submission Information
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Keywords
- Experimental analysis
- Computational fluid dynamics
- Turbulence modelling
- Combustion modelling
- Uncertainty quantification
- Artificial intelligence
- Turbomachinery
- Aircraft engines
- Pressure gain combustion
- Internal combustion engines
- Hybrid engines
- Fuel pumps
- Sustainable fuels (i.e., pyrolysis oil, hydrogen)
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