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8 Thermodynamic cycle analysis Table 2-1: Inputs and outputs of the program used in the thermodynamic analysis of the regener- ative Brayton system Inputs Power output W ̇ CY Thermal efficiency ηTH Compressor suction pressure P2 Compressor discharge pressure P3 Compressor suction temperature T2 Cold side temperature difference ∆TC Compressor adiabatic efficiency ηCM Turbine adiabatic efficiency ηTR Heater efficiency ηHR System pressure loss ∆PLS Outputs Turbine inlet temperature Regenerator power and effectiveness Compressor power Turbine gross power Heater power CO2 mass flow Exergy efficiency Exergy losses per component Pinch temperature Cycle pressures and temperatures T4 Q ̇ R G , ε R G W ̇ CM W ̇ TR Q ̇ HR f ηEX ELS ∆TPN P,T Although they are not documented in this report, the thermodynamic analysis of each power cycle in this chapter and the design procedures described in Chapters 3 and 4 have been implemented in a computational program (see Appendix A). 2-2 Regenerative Brayton system This section presents the analysis of analyzes the regenerative Brayton system schematized in Figure 2-1. Figure 2-1: Process flow diagram of the regenerative Brayton system. In order to study the steady state operation of this system, several parameters regarding the performance of the individual components, e.g. regenerators pinch temperature and turbomachinery efficiency, are set to initial values, which are later varied to study their effect on the performance of the system, as shown in Sections 2-2-2 to 2-2-4. The initial choice of these parameters is based on a selection from several theoretical and experimental works on s-CO2 Brayton power systems. Table 2-2 summarizes this information and the choices made for the present study. The compressor suction pressure and temperature are set as close as possible to the CO2 critical point (TCRIT = 30.98◦C PCRIT = 73.77 bar), since this choice increases the efficiency of the system [27]. Both the compression and expansion processes are considered adiabatic. The turbine efficiency is fixed as 93.4%, the largest value among the other studies due to J.S. Bahamonde Noriega Master of Science ThesisPDF Image | Design method for s-CO2 gas turbine power plants
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