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Organic Rankine Cycles for Waste Heat Recovery and Solar Uses

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Organic Rankine Cycles for Waste Heat Recovery and Solar Uses ( organic-rankine-cycles-waste-heat-recovery-and-solar-uses )

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Chapter 4: Modeling The parameters of the condenser and of the evaporator models are identified by imposing some input variables and by minimizing the deviation between Figure 44: Predicted vs measured condensing pressure the measured and predicted output variables. For given refrigerant supply temperature and exhaust subcooling, the condenser model predicts the condensing pressure with a relative error of about 3% (Figure 44). For given refrigerant supply temperature and saturation pressure, the evaporator model predicts the heat flow rate and the exhaust temperature. Figure 45 shows that the exhaust temperature is predicted with a maximum absolute error of 7K, which corresponds to an error of 2.5% in the prediction of the heat flux. All the identified parameters are listed in Table 13. It can be observed that the identified single phase heat exchange coefficients C are very different. This is explained by the simplified modeling approach: the identified correlations not only account for the heat exchange, but also for pressure drops and ambient heat losses (mainly in the evaporator). This leads, for example, to a very low Nusselt in the vapor zone of the evaporator because the vapor undergoes high ambient heat losses at that point. 16

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