Three-dimensional performance analysis of a radial-inflow turbine for an organic Rankine cycle driven by low grade heat source

Xia, Jiaxi; Wang, Hongyang; Dai, Yiping

doi:10.1016/j.enconman.2018.05.038

Cited by 31 publications

(12 citation statements)

References 31 publications

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“…27 R245fa, as an organic working fluid, has high density and low boiling point, so Peng-Robinson equation of state (PR EoS) was selected to describe the properties of it. Many studies of ORC system have validated the reliability of it for turbine simulation.…”

Section: Numerical Modelmentioning

confidence: 99%

“…Many studies of ORC system have validated the reliability of it for turbine simulation. 27 R245fa, as an organic working fluid, has high density and low boiling point, so Peng-Robinson equation of state (PR EoS) was selected to describe the properties of it. PR EoS in ANSYS CFX is simple and accurate to conduct numerical simulations with real gas.…”

Section: Numerical Modelmentioning

confidence: 99%

“…Sadeghi et al 23 presented a multiobjective optimization of ORC system. Xia et al 27 conducted 1D design and 3D computational fluid dynamics (CFD) performance analysis for the ORC turbine and studied the impact of splitter blade. Zhai et al 24 conducted the design of ORC system coupled with radial turbine and investigated the performance of them.…”

mentioning

confidence: 99%

“…Al Jubori et al 26 presented a calculation model to develop axial and radial turbines with five organic mediums. Xia et al 27 conducted 1D design and 3D computational fluid dynamics (CFD) performance analysis for the ORC turbine and studied the impact of splitter blade. Razaaly et al 28 conducted an uncertainty quantification analysis on nozzle and analyzed the influence of turbine geometry parameters.…”

mentioning

confidence: 99%

“…Genetic algorithm (GA) is a reliable method to carry out the design of ORC system. 18,36 Xia et al 27 accomplished preliminary design for ORC turbine using GA. This paper proposed an improved design method of organic radial inflow turbine and analyzed its design and off-design performance through CFD method.…”

mentioning

confidence: 99%

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Improved thermodynamic and aerodynamic design method and off‐design performance analysis of a radial inflow turbine for ORC system

Han

Jia

2019

Int J Energy Res

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Summary Radial inflow turbine is one of the crucial components of organic Rankine cycle (ORC) system, which has great impact on the performance of system. R245fa was selected as the working fluid to recycle the waste heat source with a temperature of 350 to 400 K. The genetic algorithm (GA) was employed in thermodynamic design to optimize the 10 key design parameters, which are needed in aerodynamic design of the ORC turbine. Isotropic efficiency was the fitness function of 10 key variables in GA. The three‐dimensional geometry model was built based on the thermodynamic and aerodynamic design and then was imported into the commercial software ANSYS‐CFX to conduct viscous numerical simulation. Based on the three‐dimensional simulation, the off‐design performance in different mass flow rate, static inlet temperature coupled with different rotational speed was investigated respectively. The results show that at design condition, the maximum efficiency deviation is only 2.5% with the rotational speed variations among the range of 10%, so the radial inflow turbine designed in this research possesses great off‐design performance.

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Section: Numerical Modelmentioning

confidence: 99%

Section: Numerical Modelmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Improved thermodynamic and aerodynamic design method and off‐design performance analysis of a radial inflow turbine for ORC system

Han

Jia

2019

Int J Energy Res

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Preliminary design, flow field, and thermal performance analysis of a helium turboexpander: a numerical approach

et al. 2019

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Most studies on cryogenic turboexpanders are focused on parametric studies and mean-line design to increase the performance of cryogenics liquefaction cycle without much attention to the splitter blades which are crucial for the stability of the flow field. This study focuses on a novel mean-line design methodology to develop the radial turbine and nozzle (hereafter renowned as turboexpander) to investigate the performance characteristics. Firstly, Sobol sensitivity analysis is performed to identify the effect of major non-dimensional design variables on isentropic efficiency of the turbine. Secondly, the non-dimensional design variables are optimized using artificial intelligence techniques. Thirdly, three turboexpander models with and without splitter blades are designed within the optimized range of non-dimensional variables. After that, the three-dimensional numerical analysis is carried out to visualize the effect of splitter blades on flow field and thermal characteristics of the turboexpander. It is noticed that the passage vortices and flow separation are minimized using the splitter blades. The numerical results are further validated with available data in the literature. A detailed comparative analysis of Mach number, pressure, temperature, velocity, static enthalpy, static entropy, etc., is carried out at different operating conditions. The results reveal that the use of splitter blades has a tremendous effect on the performance and flow field characteristics of the radial turbine. The proposed methodology specifies the insights for an optimum turbine design methodology of a cryogenic turboexpander, Sobol sensitivity analysis, prediction capability of artificial intelligence methods, numerical techniques to simulate the assimilating performance of turboexpander, as it is the most crucial and expensive component of turboexpander-based cryogenic system. KeywordsHelium turboexpander · Splitter blade · Sobol method · Flow pattern · Thermal characteristics · Artificial intelligence List of symbols Variables bBlade height (m) C Absolute velocity (m/s)

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Uncertainty Quantification in high-density fluid radial-inflow turbines for renewable low-grade temperature cycles

et al. 2019

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Three-dimensional performance analysis of a radial-inflow turbine for an organic Rankine cycle driven by low grade heat source

Cited by 31 publications

References 31 publications

Improved thermodynamic and aerodynamic design method and off‐design performance analysis of a radial inflow turbine for ORC system

Improved thermodynamic and aerodynamic design method and off‐design performance analysis of a radial inflow turbine for ORC system

Preliminary design, flow field, and thermal performance analysis of a helium turboexpander: a numerical approach

Uncertainty Quantification in high-density fluid radial-inflow turbines for renewable low-grade temperature cycles

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