Turbine Design for Low Heat Organic Rankine Cycle Power Generation using Renewable Energy Sources

In recent years, due to its feasibility and reliability, the organic rankine cycle has become a widespread concern and is the subject of research. In the organic rankine cycle system, the radial turbine component is a highly influential component of the high low performance resulting. This paper discusses the design of radial turbines for organic rankine cycle systems. The design stage consists of preliminary design and detail design with parametric methods on the working fluid R22 to determine the geometry and initial estimation of the performance of the radial turbine. After that, a numerical study of the fluid flow region in the radial turbine with R22 as the working fluid was performed. The analysis was performed using computational fluid dynamics of Autodesk Computational Fluid Dynamics Motion software on two models of real gas, k-epsilon and shear stress transport. From the results of this analysis, there is pressure, velocity and temperature distribution along the radial turbine blades and estimated performance under various operating conditions. Comparison between parametric and computational fluid dynamics analysis results show different performance. The difference is due to the computational fluid dynamics analysis already involving the real gas shear stress transport model.

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Computational Fluid Dynamics Analysis on a Perforated Plate in a High Pressure Reducing System for Hydrogen Fuel Cell Electric Vehicle Using Real Gas Equation of State

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) ◽

10.1109/isie.2019.8781168 ◽

2019 ◽

Author(s):

Bin Liu ◽

Shaohua Li

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

High Pressure ◽

Fuel Cell ◽

Perforated Plate ◽

Dynamics Analysis ◽

Hydrogen Fuel Cell ◽

Hydrogen Fuel ◽

Real Gas ◽

Computational Fluid Dynamics Analysis

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Scaling a radial flow turbine from air to multiple compressible fluids and performance evaluation using computational fluid dynamics

Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy ◽

10.1177/0957650920922074 ◽

2020 ◽

pp. 095765092092207

Author(s):

K Vijayaraj ◽

Punit Singh

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Mach Number ◽

Radial Flow ◽

Organic Rankine Cycle ◽

Rankine Cycle ◽

Compressible Fluids ◽

Working Fluid ◽

Brayton Cycle ◽

Working Fluids

Many new turbine designs may take large timelines to prove their worth. For getting duty condition at optimum efficiency, one can always scale speed, diameter, if a very efficient benchmark is available. This paper examines the similarity-based scaling strategy to develop radial inflow turbines for different compressible fluids from a well-established NASA radial flow turbine designed and experimentally tested with air as the working fluid. The NASA 1730 air turbine experimental data have been used as the benchmark here and adopted multiple fluids to understand scaling. The considered fluids are supercritical carbon dioxide for the Brayton cycle, helium for the cryogenic liquefaction cycle, and R143a for the organic Rankine cycle. The uniqueness here is to have three types of cycles, viz. closed-loop Brayton cycle, organic Rankine cycle, and cryogenic helium liquefaction cycle, which employ different working fluids, adapting the same NASA turbine geometry. This paper has described the scaling methodology and presented the simulated turbine performance of SCO2, helium, and R143a using computational fluid dynamics. The dimensionless curves for these fluids are plotted on the corresponding experimental characteristics of the NASA turbine. Out of the three fluids, SCO2 showed the perfect Mach number matching for the flow and torque coefficient curves. The Mach number deviations in the case of helium were small, and the variations were slightly higher for R143a. The efficiencies were the highest for R143a, followed by SCO2 and helium. Thus, the scaling was found to be effective in all cases. Thus, the standard turbomachinery space developed for air as fluid can be used effectively for the development of turboexpanders for various cycles with different working fluids without redesigning the entire shape using similarity-based scaling. The benchmark NASA 1730 turbine has proven this in three special cases. This paper is not against designing new machines but is only trying to say that when such good benchmark machines like NASA 1730 turbine is available; designers must use the power of similitude to adapt it to match new fluids and new conditions.

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