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are associated with very large mass (pentane mass itself, vaporizer mass, separator mass, pipes mass, condenser mass etc.) and it is much slower than the dynamic of the turbine. Nonetheless, the model is very competent in predicting performance in normal operations of the plant and if a saturation block is used which limits mass flow rate to imitate the bypass mechanism, the performance of the model can be improved (Figure 16). The average percentage error is 4.5% and the maximum value is 27.18%. 2.8.5 The condenser outlet temperature Figure 17 presents the condenser outlet temperature of the unit for 1000 hours of operation. It is very clear from the Figure that the modeled condenser outlet temperature follows the observed values very competently. However, the temperatures are measured in °C and are low. Therefore, the relative errors are high. The average of percentage error is 10%, but if we use temperature in absolute scale, the average percentage error would be very low 0.89%, with the maximum values of percentage error is 4.03%. 2.8.6 The brine outlet temperature Figure 18 shows the observed vs. modelled brine outlet temperature and a close match between the two values is clear. The average percentage error is 1.43% and the maximum value is 6.90%. All error is calculated as absolute value and it can be seen from the Figure that the typical value of the brine outlet temperature is about 140°C. Sohel et al. 6 5 4 3 2 1 0 1 125 249 373 497 621 Time [h] 745 869 993 24 per. Mov. Avg. (Modelled) 24 per. Mov. Avg. (Observed) Figure 14: Electrical power output for 1000 hours of operation 4.8 4.6 4.4 4.2 4 3.8 3.6 3.4 3.2 1 5 9 13 17 21 25 Time [h] Observed Modelled Figure 15: Electrical power output for a day’s operation 11 Electrical power [MW] Electrical power [MW]PDF Image | Dynamic Modelling and Simulation of an Organic Rankine Cycle Unit of a Geothermal Power Plant
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