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and temperature distribution of Cases A and B, respectively. The results show that the operating conditions of Cases A and B are both away from the design point. There is a small range of flow separation or local acceleration in the turbine. The power and efficiency deviate greatly from the design condition. The power of Case A is 882.48 kW and the efficiency is 87.69%. The power and effAicpipel.nSccyi. 2o0f2C0,a1s0e, 4B99a9re 1608.73 kW and 83.07%, respectively. (a) (b) (c) Appl. Sci. 2020, 10, x FOR PEER REVIEW 13 of 24 Appl. SFci.gF2ui0gr2eu0,r51e.05,K.xeKFyOeyRppaParEarEamRmeReteEterVrIdEiWistributions off5500%%blbaldaedheeihgehigt hsetctsieocntiuonduerndesrigdnesciogndictoionndsi:ti(oan) sli:m(ia1t3)inogf 24 limsittrienagmsltirneea;m(bli)nper; e(sbs)uprreedssisutreibduitsitornib; u(ct)iotnem; (pc)etreamtuprerdaitsutreibduitsitornib. ution. (a) (b) (c) (a) (b) (c) 12 of 21 Figure 6. Key parameter distributions of 50% blade height section of Case A: (a) limiting streamline; (b)Fpigreusrseu6re. Kdiesytrpibauratimone;te(cr)dteismtrpibeuratitounres odfis5t0ri%bubtliaodne. height section of Case A: (a) limiting streamline; Figure 6. Key parameter distributions of 50% blade height section of Case A: (a) limiting streamline; (b) pressure distribution; (c) temperature distribution. (b) pressure distribution; (c) temperature distribution. (a) (b) (c) (a) (b) (c) Figure 7. Key parameter distributions of 50% blade height section of Case B: (a) limiting streamline; Figure 7. Key parameter distributions of 50% blade height section of Case B: (a) limiting streamline; (b) pressure distribution; (c) temperature distribution. (b) pressure distribution; (c) temperature distribution. Figure 7. Key parameter distributions of 50% blade height section of Case B: (a) limiting streamline; (b) pressure distribution; (c) temperature distribution. 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. The new 3-D CFD numerical analysis is often needed to predict the off-design performance of On the one hand, this will lead to a significant increase in the design cycle of the turbine. On the other the turbine. In this method, the number of calculations is large, and the calculation speed is very slow. hand, in the actual operation and control of the system, it is difficult to grasp the off-design On the one hand, this will lead to a significant increase in the design cycle of the turbine. On the other performance of the turbine unit in real time. As a result, the system cannot be regulated in time. hand, in the actual operation and control of the system, it is difficult to grasp the off-design Therefore, it is urgent to develop an efficient and accurate prediction method of turbine performance performance of the turbine unit in real time. As a result, the system cannot be regulated in time. under off-design conditions. Therefore, it is urgent to develop an efficient and accurate prediction method of turbine performancePDF Image | Performance Prediction of a S-CO2 Turbine
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