Operation and Analysis of a Supercritical CO2 Brayton Cycle

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Operation and Analysis of a Supercritical CO2 Brayton Cycle ( operation-and-analysis-supercritical-co2-brayton-cycle )

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4 System Analysis of the Compression Loop A complete dynamic system model for the S-CO2 compression loop was developed in Sandia’s RPCSIM code. A portion of this code was briefly discussed earlier. The block diagram model for the loop is illustrated in Figure 4-1, and each major block represents a component in the loop. The major components in the S-CO2 loop include the compressor model, the orifice model, the inventory control model, and the gas chiller model. The gas chiller hardware and the results of the RPCSIM model were described earlier in this paper. In addition, the system model also includes the water side of the cooling loop including ducting. Orifice Monitor Orifice (Choked Flow) Inventory Control Temp In Cool Out (INV) Mdot In Inventory Control Compressor H2O Pipe Liq_Pipe2 Pgcx Out Mdot CO1 Tgcx Out Duct mu Mdot Liq Tliq Out2 Pliq Out3 Gas Duct o2 Gas _Out Gas _In AdpOrifice/6.8 SC-LDRD Compressor Gas _Out Gas _In Gas Duct o1 Cool in Liq_Gas Hx Cool out mu Mdot Out Temp Out Cool In Area Orif P out CompOut Comp In Nrpm Clock2 Goto3 mdotRPM Mdot CO2 Gain -K- Goto9 compRPM MdotGcxLiq Duct Gas Duct Gas Pre-Cooler mu Tliq Out1 Pliq Out1 2 Mdot Liq1 H O Pump Gas _In Gas _Out Cool out Liq_Pipe 1 Liq Pump Out1 Cool in Figure 4-1: RPCSIM (Reactor Power and Control SIMulator) for the Sandia supercritical compression loop. This figure shows the SIMULINK modules that are used to model the compression loop. The model uses the NIST Refprop equation of state for supercritical CO2 and it uses and enthalpy based non-linear solution technique to model the full dynamic system, including startup. 4.1 Compressor Model Description The compressor model used an older version of the mean-line flow analysis compressor performance prediction tool as described earlier in this paper for its off-normal performance maps. This required multi-dimension look up tables (4D tables) for compressor inlet temperature, pressure, mass flow rate, and shaft speed. The inlet temperature could be varied from 307-313 K, the pressure could be varied from 7600 -9200 kPa. The mass flow rate and shaft speed could be varied from 0.01 kg/s and 100 rpm to 80,000 rpm. The look up tables interpolated between these inlet parameters to determine the outlet temperature and pressure. This approach worked reasonably well, provided the data stayed within the stated range, but it was very labor intensive to generate the 4D maps. At the current time, RPCSIM now uses fits to represent the performance maps of the compressor. These fits are a little easier to use, but 40 Gas _In Gas _Out Liq _In Liq_Out

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