Modeling of a Low Temperature Rankine Cycle for Small Scale Cogen

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Modeling of a Low Temperature Rankine Cycle for Small Scale Cogen ( modeling-low-temperature-rankine-cycle-small-scale-cogen )

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Sylvain Quoilin Chapter 5 : Models The results of the identification are the following : Two first sets of tests Thirst set of tests For the two first set of tests, the supply pressure drop was no included in the model. It explains the absence of the parameter dthr ,su,exp in the first column. In the third set of tests, the ambient heat losses coefficient AUamb,exp is lower than for the first tests. It is of course explained by the insulation of the expander. The lower friction torque and higher leakage in the third set of tests might be explained by a reduction of the pressure between the two scrolls or by a reduction of the elasticity of the sealing material during the months between the second and third set of tests. It is however very dangerous to conclude anything from identified parameters, especially when the model has changed like in this case. Those parameters have indeed a limited physical meaning, as the model is simplified and doesn't take into account all the physical phenomenas. Validation of the model. Once the parameters are identified, the predicted and measured values are compared for each output of the model. The results of this comparison are shown in figure 40. For the two first sets of tests, figure 40 shows that the exhaust temperature is fairly well predicted. However, the predicted supply pressure is nearly always below the measured value and a maximum error of 15 % is detected in the prevision of the expander output power. The error in the prediction of the output work is most likely due to the bad prediction of the supply pressure. In order to solve this problem, a pressure drop model is added at the expander supply in the model used in the third set of tests. The third set of tests shows a very good agreement between all the predicted and measured outputs. It is thus concluded that the addition of the pressure drop in the model is highly advantageous. 81

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