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3-2 Dry cooler 63 3-2-7 Cooler dimensioning Following a similar procedure to that developed for the regenerator, two parameters are used in the thermodynamic analysis to obtain the operating conditions of the cooler, which are used in the dimensioning calculations. The parameters are the system pressure drop and the compressor discharge pressure. Each set of operating conditions gives several solutions according to the optimization procedure explained in the last section. The configurations with the lowest fan power consumption are finally chosen. The results are presented in Table 3-11 and Table 3-12 for the regenerative and the recompression Brayton systems respectively. Table 3-11: Cooler optimum solutions for the regenerative Brayton system as a function of the system pressure loss and compressor discharge pressure (ηTH = 50%, T2 = 31.25◦C, P2 = 74 bar, ηTR = 93.4%, ηCM = 85%, ηHR = 90%, ∆TPN = 10◦C) P3 (bar) 200 400 600 ∆PLS (%) 2.0 6.0 10.0 2.0 6.0 10.0 2.0 6.0 10.0 NTUBE NROW NPASS 4132 4 2 5 12520 8 8 2 2548 4 2 8 2772 4 2 7 5526 6 6 3 1532 4 2 10 2164 4 2 7 4284 6 6 3 2360 4 4 5 284.20 8.11 103.52 9.84 176.15 8.00 135.14 7.62 111.80 6.51 201.69 6.02 244.35 5.95 181.15 5.05 156.23 4.63 LTUBE W ̇ FN Weight (m) (kW) (tonne) Table 3-12: Cooler optimum solutions for the recompression Brayton system as a function of the system pressure loss and compressor discharge pressure (ηTH = 50%, T2 = 31.25◦C, P2 = 74 bar, ηTR = 93.4%, ηCM = 85%, ηHR = 90%, ∆TPN = 10◦C) LTUBE W ̇ FN (m) (kW) Weight (tonne) 16.66 15.85 15.82 10.54 9.23 7.47 7.82 6.77 5.71 P3 (bar) 200 400 600 Computational cost ∆PLS (%) 2.0 6.0 10.0 2.0 6.0 10.0 2.0 6.0 10.0 NTUBE NROW NPASS 21204 6 6 2 5044 4 2 8 4476 4 2 9 3832 4 2 7 7830 6 6 3 6342 6 6 3 2844 4 2 7 6112 4 4 5 3632 4 4 4 105.07 121.78 110.40 166.13 129.42 275.70 278.93 649.94 327.11 The calculation procedure described in this optimization procedure deals with the dimension- ing of the dry cooler based on a discretization performed in the tubes of this component. The iterative procedure shown in Figure 3-16 requires long computational time mainly due to the calculation of the leaving close-to-critical properties of CO2. Due to this fact the computa- tional fluid library [45] performs large quantities of iterations to solve the equations of state delaying the search for optimum solutions in the cooler. For example, in order to obtain the cooler geometries presented in Tables 3-11 and 3-11, the computational code requires approx- Master of Science Thesis J.S. Bahamonde NoriegaPDF Image | Design method for s-CO2 gas turbine power plants
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