MULTI-PHASE MODELLING OF NANOFLUID HYDRONIC SYSTEM
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- MULTI-PHASE MODELLING OF NANOFLUID...
To maximize the nanofluid performances considering all intrinsic variables such as density, viscosity, electrical and heat conductivity, a multi-phase numerical model is proposed. Using HPC-based simulations it is possible to set the thermo-fluid-dynamic process in a quasi-real-time.
Start date: 01/06/2021
Duration in months: 18
Problem Description
Hydronic systems use water or a water solution for heat transfer in various industrial applications. HTF Compact's solution, a dispersion of solid metal oxide nanoparticles, significantly improves heat transfer. Numerical CFD simulations can help understand nanofluid performance.
Goals
New services
Challenges
Two-phase system approach for nanofluid design requires high computational costs and HPC resources, reducing competitiveness for SMEs like TCT. The challenge is to optimize design and manufacturing processes to maximize heat exchange while minimizing production costs.
Innovation results
The experiment developed a multi-phase numerical model for optimizing nanofluid performance, considering intrinsic parameters and their impact on heat exchange and energy efficiency. HPC was used to simulate the second phase's behavior and create a fine mesh for accurate results.
Business impact
TCT aims to reduce time-to-market, design costs, material waste, and energy power by 66%, resulting in a 66% reduction in time-to-market. CETMA and CINECA expect new contracts, resulting in a revenue increase of EUR 50,000 and 20,000 per year respectively.