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Chapter 2 Thermodynamic cycle analysis The present chapter presents the thermodynamic analysis of three configurations of s-CO2 power systems, a Brayton regenerative, a Brayton vapor recompression and a Rankine re- generative system. The thermal efficiency and the power output are fixed as representative targets. The remaining parameters, e.g. turbomachinery efficiency and system pressure loss, are varied in order to study their influence on the performance of the system. The data for the thermodynamic analysis are obtained from the first study case docu- mented in Chapter 4, which deals with the application of s-CO2 power generators for aircraft propulsion systems. It is shown that the power output and the efficiency of a selected high- end technology aircraft engine are 18.7 MW and 47% respectively. In order to overcome the performance rate of this engine, the targets of s-CO2 system are set to the same power output whith a thermal efficiency of 50%. 2-1 Computational steady state analysis of s-CO2 Brayton cycles The thermodynamic analysis in this chapter is performed with a computational program that evaluates the effect of the components operation in the system [44]. The inputs and outputs for the program developed for the regenerative system are presented in Table 2-1. The thermodynamic analysis is traditionally focused on the maximization of the efficiency as a function of the TIT. However, in this case the efficiency is an input for the analysis, while the TIT is an output. Then, the operating conditions are not based on the maximum thermal efficiency but on the minimum TIT, as shown in Sections 2-2-5 and 2-3-4 for the regenerative and recompression Brayton systems respectively. The internal calculations in this program are based on the solution of the steady-state mass and energy balance for each of the components in the system. The fluid thermodynamic properties in the entire project are obtained by means of a computational fluid library [45], which is set to calculate the CO2 properties by means of a Span-Wagner multiparameter equation of state, allowing for accurate property calculations in the critical region [46]. Master of Science Thesis J.S. Bahamonde NoriegaPDF Image | Design method for s-CO2 gas turbine power plants
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