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Performance Prediction of a S-CO2 Turbine

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Performance Prediction of a S-CO2 Turbine ( performance-prediction-s-co2-turbine )

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Appl. Sci. 2020, 10, 4999 11 of 21 The output power calculated at different grid scales was used as the evaluation basis. When the calculation error between adjacent grid scales is less than 1%, it is considered to meet the demand of calculation accuracy. The final number of selected grid nodes was 420,000. The numerical method was the same as previous research [24,43–45]. In previous research, the S-CO2 compressor with more complex flow was used for numerical verification. By comparing with the numerical and experimental results of other scholars, it can be shown that the numerical method is accurate [45]. For the off-design performance analysis of the turbine, the turbine’s inlet temperature, inlet pressure, inlet airflow angle, mass flow rate, and rotating speed were changed change within ±15% of the design value. The Latin Hypercube Sampling method was adopted to obtain a total of 1000 off-design conditions. The off-design performance data set of the designed turbine was obtained by CFD analysis oAfp1p0l.0S0ci.o2ff02-d0,e1s0i,gxnFOcoRnPdEiEtRioRnEsV.IEW 12 of 24 Figure 4. 3-D numerical model and grids. Figure 4. 3-D numerical model and grids. 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Faisguexreasm6plaensdin7thsheodwestihgne lsipmaictein. Fgigsturreeasm6lianed, p7rsehsoswurethdeislitmribituintgiosnt,reaanmdltineme,perreastsure distribution, oafnCdatsemspAerantudrBe,driesstrpiebcuttiivoenlyo.fTChaeseressAultasnsdhoBw,rethspatectthieveolyp.erTahteinrgescuolntsdisthionwsothfaCtatshesoApearnadtinBg acroenbdoitihonaws oayf CfraosmesthAeadnedsigBnapreoibnot.thThaweraeyisfraosmathlleradnegsiegonfpfloiwnt.seTphaeraetiosnaosrmloacllalranccgeleorfatfilonw isnepthaerattuiorbninoer. loTchael paoccweelerratnidoneffiinctihenectyurdbeivniea.teThgerepaotlwy efroamndtheffdiceiseingcnycdoenvdiiattieong.reTahtleypforowmertohfe CdaeseigAn icso8n8d2i.t4i8onk.WThaendpothweeerffiocfiCenacsye iAs 8i7s.6898%2.4. 8ThkeWpoawnderthanedefefffiiciceinencycyisof87C.a6s9e%B. Tarhee1p6o08w.7e3r kaWnd aenffdic8ie3n.0c7y%o,frCesapsecBtivaerley.1608.73 kW and 83.07%, respectively. The new 3-D CFD numerical analysis is often needed to predict the off-design performance of the turbine. In this method, the number of calculations is large, and the calculation speed is very slow. On the one hand, this will lead to a significant increase in the design cycle of the turbine. On the other hand, in the actual operation and control of the system, it is difficult to grasp the off-design performance of the turbine unit in real time. As a result, the system cannot be regulated in time. Therefore, it is urgent to develop an efficient and accurate prediction method of turbine performance under off-design conditions.

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