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Turboexpander on Organic Rankine Cycle with Working Fluids

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Turboexpander on Organic Rankine Cycle with Working Fluids ( turboexpander-organic-rankine-cycle-with-working-fluids )

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ISAIME 2019 IOP Publishing IOP Conf. Series: Materials Science and Engineering 694 (2019) 012014 doi:10.1088/1757-899X/694/1/012014 Figure 3. Turboexpander parts : rotor (left), stator (right) This component has the role of carrying out the process of expansion. The expansion process in the Radial Outflow Turbine occurs entirely due to the flow rate of the working fluid. The flow rate with a certain pressure enters through the inlet section and its expanded to a several levels. At the inlet side, the working fluid is directly header by the first level of stator which also act as a nozzle. Then after exiting from guide blade or stator at the first level, the working fluid flow enters the next level to rotate the moving blade or rotor section. Whereas for numerical analysis using software only the fluid parts are visible with the purpose of simplified numerical calculations of CFD. Figure 4. Turboexpander CFD Modeling Before the simulation process begins, a modeling must be divided into tiny elements or volumes with the purposed of convinient numerical calculations. The number of elements / volumes produced from the meshing results greatly affects to simulation process and results. As for meshing in this turboexpander model, it is in a good category, where the skewness criteria value is around 0.36 and the orthogonal quality value is around 0.78 [10]. In this simulation the software used is ANSYS CFX, where the features in ANSYS CFX are specifically used for the turbomachinery simulation process. But there is disadvantage of working fluid’s data especially for R245fa, so that the material tabs need to add the required properties such as molar mass, crtitical temperature, critical pressure, critical volume, acentric factor and boiling temperature. These properties can be found at NIST Refprop. Not only that, because R245fa is in the real gas category, the variables of the fourth order polynomial need to be entered for the correct calculation of the turbulence model of the standard redlich kwong or can be obtained by a linear regression approach. Therefore the coefficient values are. 4

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