Multi-Phase Modelling of Nanofluid Hydronic System
Presentation of the problem and objective of the experiment
Nanofluids are promising nanotechnology to improve heat transfer efficiency, but their performances depend on a very high number of variables. As a consequence, an expensive trial-and-error approach is typically necessary to set the nanofluid.
The objective of this experiment is to optimize, by advanced numerical models, the nanofluid design and manufacturing process, maximizing the heat exchange in the systems while minimizing the high costs of the production stage and the difficulties in preparing stable nanofluids.
Short description of the experiment
To maximize the nanofluid performances taking into account all intrinsic variables, a multi-phase numerical model is proposed in this experiment. The analyses will be based on a multitarget optimization criterion to consider the relative interaction between the nanoparticle properties and how they affect the conductivity, the density and the viscosity of the nanofluid and consequently the heat exchange and finally the performances of the hydronic system. Using these HPC-based simulations it will be possible to drastically reduce the computational time and to set the thermo-fluid-dynamic process in a quasi-real-time.
Partner CINECA is part of the NCC Italy.