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30 Thermodynamic cycle analysis Table 2-5: Operating conditions for the regenerative Rankine system (ηTR = 50%, T2 = −20◦C, P3 = 271.51 bar, ηTR = 93.4%, ηPM = 85%, ηHR = 90%, ∆PLS = 2%, ∆TPN = 10◦C). Variable Required CO2 mass flow Regenerator effectiveness Regenerator power Heater power Cooler power Pump power Turbine gross power Value kg/s 48.21 % 97.67 MW 23.77 MW 33.67 MW 14.97 MW 1.36 MW 20.06 application study case of Section 4-1, it can be concluded that this system is the most beneficial for cruise conditions since the weight of the components is likely the lowest between the three s- CO2 configurations studied so far. However, take off conditions and supercritical condensation of carbon dioxide add much more complexity to the system. Thus, this configuration is not considered in the next chapters of this study. Regarding stationary power generation applications, the condensing temperature of -20◦C is not feasible for this objective, and Rankine cycles with CO2 require fluids with temperatures lower than the critical one (30.98◦C) to be used as the thermal sink in the heat rejection process. Although water can be used for this aim, it is preferable to design dry coolers in order to reduce water pollution and environmental impacts. Future investigations should consider the variation of the critical temperature using CO2 mixtures in order to adjust the critical temperature to levels that ease the operation of Rankine systems with air as the thermal sink. Exergy losses Following a similar procedure to that of the previous sections, the exergy analysis is done and presented in Figure 2-29. The main exergetic losses are present in the regenerator and Cycle power Pump Turbine Regenerator Cooler Exergy balance share 9% Exergy losses 12% 2% < 1% Component Regenerator Cooler Pump Turbine Exergy efficiency Exergy loss [MW] 2.84 2.13 0.17 0.42 82.39 % Useful exergy 77% Figure 2-29: Cycle exergy balance (ηTR = 50%, T2 = −20◦C, , P3 = 271.51 bar, ηTR = 93.4%, ηPM = 85%, ηHR = 90%, ∆PLS = 2%, ∆TPN = 10◦C). J.S. Bahamonde Noriega Master of Science ThesisPDF Image | Design method for s-CO2 gas turbine power plants
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