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F Numerical issues in dynamic heat exchanger models. ➢ The constant flow rate strategy is optimal in terms of computation time. However, it is also the one with the highest error on the energy balance. ➢ The maximum derivative strategy shows a slight increase on the mass and energy unbalances. These errors remain however limited, considering that the simulated system is highly transient compared to traditional systems and thus undergoes a higher number of phase transitions. ➢ As expected, the filtering strategy shows a good mass balance, but an energy unbalance higher than 1%. It is also slightly slower due to an additional state variable in each cell (the second derivative of the density). ➢ Surprisingly, the simulation with 100 cells shows a lower accuracy than that with 20 cells. This is most likely due to truncation errors. It is also very slow due to the 100 non-linear equations. For the simulations performed in this work, the "maximum derivative" strategy was selected, as a good tradeoff between simulation accuracy, computational time and robustness. Figure 105: Predicted exhaust enthalpy with the different strategies XXIIIPDF Image | Organic Rankine Cycles for Waste Heat Recovery and Solar Uses
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