Krishnatreya, Dravida (2018) Numerical Analysis to Visualize the Flow Pattern 
Inside Air Turbine. MTech thesis.
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Abstract
Distributed power generation making use of efficient  technologies such as organic Rankine cycle (ORC) and compressed air energy storage (CAES) are getting growing 
attention with ever increasing demand on energy. A key component for such systems is the expander  and  its  performance has a significant effect on the overall system efficiency. The following work focuses on the expander of such a system by proposing an efficient and comprehensive  methodology for developing a small-scale radial inflow  turbine RIT). The methodology consists of 1-D modelling,3-D  aerodynamic investigation and structural analysis, and a  comparison between the performance of a single stage expansion and two stage expansion between same pressure limits. The 1-D modelling proved to be very effective in  determining the mean line geometry and performance  of  turbine based on parametric studies of turbine input design  variables.But with CFD analysis, it can be seen that more  efficient turbine geometry can be attained, that provides  more realistic turbine performance by capturing the 3-D fluid flow behaviour and improves the turbine efficiency with the aid of parametric studies of  turbine  geometry  parameters.The CFD model can predict turbine efficiency  and power with accuracy of ±16% and ±13% respectively for a  wide range of tested operating  conditions. Such results   highlights the effectiveness of the proposed methodology and the CFD model can be used as benchmarking model for analyses of small-scale RITs.
| Item Type: | Thesis (MTech) | 
|---|---|
| Uncontrolled Keywords: | Distributed power generation; small-scale radial inflow turbine (RIT);CFD | 
| Subjects: | Engineering and Technology > Mechanical Engineering > Structural Analysis | 
| Divisions: | Engineering and Technology > Department of Mechanical Engineering | 
| ID Code: | 9756 | 
| Deposited By: | IR Staff BPCL | 
| Deposited On: | 04 Feb 2019 16:02 | 
| Last Modified: | 04 Feb 2019 16:02 | 
| Supervisor(s): | Sahoo, Ranjit Kumar | 
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