- Book Chapter
- 10.21175/rad.abstr.book.2024.48.3
Modelling of flow and convective heat transfer in serpentine heat exchanger
- Jan 01, 2024
- Račkaitis, Kęstutis + 2 more +2
<p>Condensing heat exchangers play a key role in the waste heat recovery process, which can be of<br>various designs depending on the primary heat source, its pollution level, the place where the heat<br>exchanger needs to be installed, etc. In order to be able to evaluate various influencing parameters, it<br>is most appropriate to use numerical simulation, which can be used to quickly evaluate the efficiency<br>of a heat exchanger of a specific design in the case of different flow regimes. It is the most difficult to<br>model the condensation process, because in this case two phases appear, the interaction of which<br>requires a lot of theoretical and practical knowledge. In order to be able to analyze the interaction of<br>two-phase flows, it is necessary to approach this task step by step, starting from the analysis of single-<br>phase flow to understand the physical processes taking place in the heat exchanger, which usually<br>contains variously arranged tube bundles of different shapes. Therefore, in this paper, numerical<br>studies of hydrodynamics and convective heat transfer were performed to better understand the fluid<br>behavior in a serpentine type condensing heat exchanger. This research study is related to the EU<br>Horizon 2020 iWAYS project (Innovative WAter recoverY Solutions through recycling of heat,<br>materials, and water across multiple sectors) activities. The presented analysis was conducted in<br>parallel on two different well established CFD softwares. One with Ansys Fluent and the other with<br>Siemens Star-CCM+ CFD softwares. Both simulations considered monophase currents of hot air<br>flowing into the serpentine heat exchanger thermodynamically coupled with the cooling water flowing<br>into the pipes. The flows were organized in counterdirections. The metallic pipes were included and<br>characterized by means of thermal conductivity and specific heat of the considered steel material. The<br>cooling water, due to the relatively small increase in temperature, was characterized by a constant<br>density approach. The calculation of the inflowing air Reynolds number led to the intermittent regime<br>to that a turbulent model is required to the calculation. The flowing air than was characterized by<br>realistic thermodynamic properties by means of tabular values. Both the simulations were considered<br>as steady-state. The realized meshes followed two diverse methods. Ansys Fluent case implemented a<br>fully tetrahedral mesh, thus exploiting the ability of this kind of cells to fully adapt to peculiar<br>geometries. Star-CCM+ then implemented both automated and directed meshes methods. The<br>automated method resembles the classic meshing method where the entire volume is meshed by<br>means of macro parameters and user defined refinements or modifications. The directed mesh was<br>fully employed in the regular extrusion of the surface mesh for the cooling water region starting from<br>an automated surface mesh and a patched regular mesh used for the metallic pipes. The hot air region<br>was generated by means of polyhedral cells with the automated method to exploit the same<br>tetrahedral adaptiveness to irregular geometries but reducing the total amount of the employed cells.<br>The Ansys Fluent simulation then resulted in 10 milion cells and Star-CCM+ in a reduced 7 milion<br>cells. The temperature field was recorded by means of numerical probes realized in correspondence of<br>experimental thermocouples, recording a three point average value for the inflowing air, metallic<br>pipes and cooling water. The comparison between the experimental and the simulated results<br>confirmed the good agreement between both the numerical and the experiment. Little divergences<br>were recorded but resulted in being perfectly acceptable based on current differences unavoidable<br>between experimental and numerical setups.</p> <p>This work was partly funded by the European Union H2020 programme project iWAYS under grant agreement number <a href="https://www.sciencedirect.com/science/article/pii/S2451904924004323?via%3Dihub#gp010">958274</a>.</p>
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