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CHAPTER 7: Conclusions and Recommendations for Future Work overlooked by the ORC standalone model and underlined the deficiencies of assuming constant ηstage,ts and the inaccuracies it caused in cycle analysis results. GA optimization of ηthermal,cycle with both ORC standalone and ORC-RIT models demonstrated that not only the former model over-predicted ηthermal,cycle of all investigated fluids (with maximum value of 1.4% for n-pentane) compared to the latter model (due to neglecting the effect of ηstage,ts) but also there were discrepancies in the ranking order of the most efficient organic fluids between the two models. R123 exhibited the highest ηthermal,cycle of 12.9% and 11.67% with the ORC standalone and ORC-RIT models respectively but there were variations in the ranking order of R1233zd, n-pentane, R365mfc and R245fa working fluids between the two models. Such results showed that constant ηstage,ts assumption with the ORC standalone model can bring unfairness to the analysis and reduce the accuracy of the results and can be miss-leading while selecting the most efficient working fluids. In contrast, the ORC- RIT model provided the reliable estimation of the turbine efficiency (based on turbine aerodynamic losses) and resulted in improved performance prediction and realistic analysis of the ORC based on small-scale organic RITs. The proposed GA optimization technique was very effective as it allowed the true analytical optimization of a broad range of ORC-RIT model input parameters that included the effects of both cycle and turbine design variables and led to maximum ηthermal,cycle. The GA optimizations were efficient and successful as the optimized non- dimensional parameters (ψ, φ, Ns ) were in the range of optimum RIT performance suggested by the generalized performance correlation charts in the literature while simultaneously satisfying all the imposed constraints to ensure feasibility of the optimized organic RIT geometry. 269 | P a g ePDF Image | SMALL-SCALE RADIAL INFLOW TURBINE FOR WHR ORC
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