2016
DOI: 10.14716/ijtech.v7i2.2978
|View full text |Cite
|
Sign up to set email alerts
|

CFD Simulation of Turbulent Flows in Proto X-3 Bioenergy Micro Gas Turbine Combustor using STD k-ε and RNG k-ε Model for Green Building Application

Abstract: This paper presents a numerical analysis of gas flow in the annular combustion chamber of a Proto X-3 Bioenergy micro gas turbine for green building applications. The computational fluids dynamics (CFD) simulation was conducted in two dimensions, turbulent flow and gas phase combustion, with the goal of comparing the effects of different models in real conditions. Two different turbulence models, standard (STD) k-ε and renormalization group (RNG) k-ε, were applied for simulations. The fuel used was biogas prod… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
7
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 11 publications
(7 citation statements)
references
References 9 publications
(10 reference statements)
0
7
0
Order By: Relevance
“…Prior studies recommend the two-equations RNG 𝑘-𝜀 turbulence model compared to the standard two-equations 𝑘-𝜀 and the two-equations SST 𝑘-𝜔 model for the CFT CFD simulations due to its accuracy among [21,22]. However, the recently founded four-equations Transitional SST turbulence model is more promising, with a competitive accuracy and ability to quickly converge the iteration process based on other previous studies [13,14].…”
Section: Cfd Simulations Processmentioning
confidence: 99%
“…Prior studies recommend the two-equations RNG 𝑘-𝜀 turbulence model compared to the standard two-equations 𝑘-𝜀 and the two-equations SST 𝑘-𝜔 model for the CFT CFD simulations due to its accuracy among [21,22]. However, the recently founded four-equations Transitional SST turbulence model is more promising, with a competitive accuracy and ability to quickly converge the iteration process based on other previous studies [13,14].…”
Section: Cfd Simulations Processmentioning
confidence: 99%
“…The value of inverse-turbulent Prandtl number (α) 1.1 is best used to simulate turbulent flow in a curved pipe using the RNG k-ε model at Re 63800 and the r/D 1,607 (Budiarso et al, 2015). k-ε and RNG k-ε could be used to represent the combustion process phenomenon without any significant differences for the numerical analysis of gas flow in the annular combustion chamber of a Proto X-3 (Daryus et al, 2016). Three turbulence models compared in wind tunnels to predict turbulence parameters are validated with test data, revealing that the k-ε model is effective because its results are comparable to the RSM model (Gunadi et al, 2016).…”
Section: Turbulent Flow Occurs At Reynolds Number Values Abovementioning
confidence: 99%
“…Finally, to combining the computational fluid dynamic (CFD) and experimental method, treated as calibrated input data for numerical models and source for newly created models [22], e.g., in the mixing of glycerol and ethanol [23], the homogenisation of two mutually dissolvable fluids with very different properties [24,25], the water and ethanol system [26] and the blending of two or more miscible liquids with very different density and a viscosity [27].…”
Section: Introductionmentioning
confidence: 99%