Experimental Analysis and Numerical Modelling of Heat Transfer and Fluid Flows in Energy Systems II

Dear Colleagues,

The goals set by the European Commission in terms of reducing pollutant emissions by 2050 thrusted energy system designers to increase their efforts towards the deployment and adoption of greener technologies and innovative solutions. That has especially been true for the power generation and propulsion fields, both highly contributing to CO₂ emissions.

The thermal management of energy systems plays a key role in attempts to increase overall system efficiency, thus, conversely decreasing pollutant emissions and driving researchers’ efforts towards an accurate evaluation of metal temperatures by correctly estimating heat transfer and fluid flow. Newly designed experimental equipment and high-fidelity computational fluid dynamics represent fundamental tools for dealing with such a demanding outcome. Furthermore, optimization methods based on artificial intelligence are now available for the design of complex components with the potential to be realized through additive manufacturing, potentially guaranteeing high aero-thermal efficiency. Still, manufacturing uncertainty must be accounted for.

Finally, the increasing usage of sustainable fuels and energy carriers (e.g., hydrogen) further complicates the situation due to the possible increase in NO_x production. Several projects funded by the industry and public funding bodies have allowed for advancements in the state-of-the-art, with researchers worldwide drawing increasing attention to the issue.

Thence, the Guest Editors invite 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 analyses;
• Computational fluid dynamics;
• Heat transfer;
• Thermal management;
• Turbomachinery;
• Turbine cooling
• Hybrid engines;
• Power systems;
• Hydrogen combustion;
• Heat exchangers;
• Artificial intelligence;
• Optimization methods;
• Uncertainty quantification.

Dr. Simone Salvadori
Prof. Daniela Anna Misul
Dr. Mauro Carnevale
Guest Editors

Manuscript Submission Information

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