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CHAPTER 6: Three-Dimensional CFD Optimization of the Dual-Stage Organic RIT The GA will use these results in order to search for the optimum geometry. Figure 6-11 presents the convergence history of the GA for both stages improving the geometry of the baseline rotor until reaching the optimum geometry with maximum efficiency. Figure 6-11 GA optimization convergence history for stage one and two Clearly the optimization method was very effective as it improved stage one and stage two efficiencies by 9.2% and 10.5% respectively. Table 6-2 summarizes the global performance parameters obtained from CFD simulations for both baseline and optimized designs. The power was increased by 11.4% and 13.4% for stage one and two respectively while the optimum number of rotor blades remained constant for stage one and it reduced from 21 to 19 for stage two. Table 6-2 Summary of global performance parameters for baseline and optimized designs for the dual- stage organic RIT Stage one-Baseline Stage one-Optimized Stage two-Baseline Stage two-Optimized ηstage,ts (%) 79.03 88.22 80.02 90.49 Power (kW) 1.123 1.251 1.32 1.497 Mass flow (kg/s) 0.06571 0.06568 0.06501 0.0657 Zrotor (-) 21 21 21 19 233 | P a g ePDF Image | SMALL-SCALE RADIAL INFLOW TURBINE FOR WHR ORC
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