There are many possible combinations of heat transfer that can be defined in AFT xStream. In any of these models there are various heat flows that can be considered.

Figure 1 shows the heat rates for one of the more complex cases – convective heating with a heat trace on the outer face of the pipe wall.

This topic will discuss heat transfer in terms of steady state heat transfer calculations. Balancing these heat rates and temperatures via iterative methods allows AFT xStream to come to a unique solution. The Transient Heat Transfer topic expands on how the convective heat transfer calculations are carried out during the transient.

Heat Rates

As a hydraulic solver, the primary heat rate of interest is , the heat added to the fluid itself. Adding heat to the fluid has the effect of raising its temperature.

We can derive an expression for with the first law of thermodynamics. For convenience, we use specific quantities (per unit mass)

The energy e is composed of internal energy u and kinetic energy V²/2. Note that the gravity term gz is neglected from this equation to simplify the derivation.

The work done by the fluid is comprised of pressure work pv and shaft work w_shaft

Combining and rearranging

Using the definition of enthalpy

In the steady state analysis, we consider that the velocity through the control volume remains constant. In reality, changing temperature will cause the density of the fluid to change, and thus the velocity. For this reason, pipes in AFT xStream are thermally sectioned. This means that certain properties are considered constant throughout the section as an approximation – having several sections in a pipe helps increase the accuracy of this approximation.

There is also no shaft work being done on the fluid.

We further assume that this can be treated thermodynamically as a constant pressure process. That is, c_p is constant in the thermal section, like density. With this assumption we can use the relationship

To find that

Rather than using specific quantities, it is useful to relate heat rate and mass flow. Multiply both sides by ṁ

The other heat rates in the system can be related to and other user defined values like or  by examining various control volumes and surfaces:

We now have a system of equations that allow us to determine all the heat rates in the system given a mass flow (determined from a mass balance), a specific heat (defined versus temperature) and a change in temperature. However, we do not know what this change in temperature is. To find it, we need to relate the surface temperatures to the heat rates.

Surface Temperatures and Resistance

Thermal resistances are useful because they directly relate the heat rate between two points with the temperature between those points.

The value of resistance depends on the mechanism of heat transfer

For conduction, the area and thus resistance changes with increasing r, so an integration must be done

These resistances can all be calculated with user-defined data. AFT xStream helps simplify this by offering several correlations that can be used to determine the heat transfer coefficients in the above equations from more readily available parameters.

With resistances and , all the surface temperatures can be determined. By bounding the system with a given T_ambient we can work outside in to find the required T_fluid to obtain those heat rates.

If the result for T_fluid matches the values used for ΔT_fluid used for determining , the correct solution has been found. If they are different, ΔT_fluid needs to be adjusted and the process repeated until reaching a stable solution.

Overall Heat Transfer

Wherever there are sequential thermal losses, it is convenient to combine these losses. This is straightforward:

Additionally, an overall heat transfer coefficient U can be defined which behaves similarly to h or k

Using the heat rate and resistance relationship, as well as the fact the heat transfer is into the fluid

Transforming the equation into a differential form on radius and length

Rearranging and integrating

We arrive at an expression relating the temperature change along the pipe and temperature change through the pipe:

Correlations

Thermal resistances depend on the conduction and convection coefficients k and h which can be directly specified or calculated via a correlation.

The convection coefficient for internal fluid convection can be calculated with the Gnielinski Correlation or the Dittus-Boelter Correlation which can be seen in .Incropera.Incropera, F.P.  et. al, Fundamentals of Heat and Mass Transfer, John Wiley & Sons, NJ 2007. These correlations determine the Nusselt number of the fluid – a ratio of convective to conductive heat transfer. Conductive properties are required input – with a Nusselt number and conductivity defined, the convection coefficient can be calculated.

These correlations also make use of the Prandtl number, a ratio of viscous diffusion to thermal diffusion.

Gnielinski

Dittus-Boelter

External convection behavior differs from the above. AFT xStream provides the Churchill-Bernstein correlation for determining a convection coefficient from ambient temperature and fluid velocity. This correlation can be used for pipes over which boundary layers develop freely, free of constraints imposed by other surfaces. All of the external fluid properties are evaluated at the film temperature.

Related Blogs

Let the Heat Flow: Modeling Heat Transfer in Pipes in AFT Fathom and AFT xStream