.AixLib.Fluid.HeatPumps.ModularReversible.RefrigerantCycle.TableData4DDeltaT

Information

This model uses four-dimensional table data estimated using tools, such as VCLibPy, to calculate QCon_flow and PEle. In addition to AixLib.Fluid.HeatPumps.ModularReversible.RefrigerantCycle.TableData3D, this model uses the secondary sides temperature spread at the condenser to estimate efficiency and power. Thus, simulation studies with influence of consnder mass flow control are possible. Developed for the publication Römer et al., where you can also see the validation and impact on heat pump system design.

Note that losses are often not implicitly included in generated data. Thus, frosting modules should be used.

Scaling factor

For the scaling factor, the table data for condenser heat flow rate (QConTabDat_flow) is evaluated at nominal conditions. Hence, the scaling factor is

Using scaFac, the table data is scaled linearly. This implies a constant COP over different design sizes:

QCon_flow = scaFac * tabQCon_flow.y

PEle = scaFac * tabPel.y

References

Römer, Fabian and Fuchs, Nico and Fuchs, Nico and Müller, Dirk, Practical, Near-Optimal Design Rule Extraction for Heat Pumps in Single-Family Buildings (September 03, 2025). Available at SSRN: https://ssrn.com/abstract=5633891

Revisions

• August 27, 2024 by Fabian Wuellhorst:
  First implementation (see issue AixLib #1520)