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48 Results and Discussion Uusitalo et. al. [28] state that the selection of the working fluids should be based on the optimization of the overall conversion performance, rather than solely on the optimization of the turbine efficiency. Thus in order to investigate the influence of the turbine model on the optimization process, the tool is run with a constant efficiency turbine. The following section presents the influence of the turbine model. 4-4-1 Influence of the turbine model The optimization of the process and fluid was carried out for a turbine with a constant efficiency of 78%. Table 4-5 presents a comparison of the two cases. Table 4-5: Influence of turbine model on the optimization Segment Number [-] Evaporator Pressure [bar] Condenser Pressure [bar] Condenser Temperature [oC] Turbine Inlet Temperature [oC] Total Mass Flowrate [kg/s] Thermal Power-Exhaust evaporator [kW] Thermal Power-EGR evaporator [kW] Net Power [kW] Net Efficiency [%] Radial Turbine Model 4.621 15.62 0.483 97.00 260.82 0.213 26.31 32.01 10.09 17.30 Constant Efficiency Turbine 4.618 16.69 0.486 97.02 264.87 0.211 25.68 31.65 9.67 16.87 400 350 300 250 200 150 100 50 0 −50 −100 −1.5 −1 −0.5 0 0.5 1 Entropy [kJ/kgK] Saturated Line − D4 D4 (Lang et. al.) Saturated Line − Hypothetical Optimum Fluid Radial Turbine Model Constant Efficiency Turbine Model Figure 4-10: T-s diagram for optimal fluids with different turbine models and D4 Figure 4-10 illustrates the T-s diagrams for optimal fluids with different turbine models and has been compared to D4. From the figure and Table 4-5, it is seen that in the scope of the present work, the turbine model does not influence the selection of the optimum hypothetical Akshay Hattiangadi Master of Science Thesis Temperature [degC]PDF Image | Working Fluid Design for Organic Rankine Cycle
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