A New Approach to Optimization of Cogeneration Systems Using Genetic Algorithm

Zomorodian, Roozbeh; Khaledi, Hiwa; Ghofrani, M.

doi:10.1115/gt2006-90952

Cited by 4 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The concept of applying an optimization algorithm to combustor design was first proposed by Despierre et al (1997), and more recently Rogero (2002) and Zomorodian et al (2006) have reported some success. Their approaches basically focus on the use of genetic algorithms in conjunction with one-dimensional semi-empirical geometry-independent network codes (Stuttaford and Rubini 1996) at preliminary design stages.…”

Section: Other Approaches To Optimization Of the Combustor Exit Tempementioning

confidence: 99%

Multi-disciplinary design optimization of a combustor

Motsamai

Visser

Morris

2008

Engineering Optimization

View full text Add to dashboard Cite

A technique for design optimization of a combustor is presented. This technique entails the use of computational fluid dynamics (CFD) and mathematical optimization to minimize the combustor exit temperature profile. The empirical and semi-empirical correlations commonly used for optimizing combustor exit temperature profile do not guarantee optimum. As an experimental approach is time consuming and costly, use is made of numerical techniques. However, using CFD without mathematical optimization on a trial and error basis does not guarantee optimal solutions. A better approach, which is often viewed as too expensive, is a combination of the two approaches, thus incorporating the influence of the variables automatically. In this study the combustor exit temperature profile is optimized. The optimum (uniform) combustor exit temperature profile mainly depends on the geometric parameters. Combustor parameters have been used as optimization variables. The combustor investigated is an experimental liquid-fuelled atmospheric combustor with a turbulent diffusion flame. The CFD simulations use the Fluent code with a standard k-ε model. The optimization is carried out using the Dynamic-Q algorithm, which is specifically designed to handle constrained problems where the objective and constraint functions are expensive to evaluate. The optimization leads to a more uniform combustor exit temperature profile compared with the original.

show abstract

Section: Other Approaches To Optimization Of the Combustor Exit Tempementioning

confidence: 99%

Multi-disciplinary design optimization of a combustor

Motsamai

Visser

Morris

2008

Engineering Optimization

View full text Add to dashboard Cite

show abstract

“…The concept for the application of an optimisation algorithm to combustor design was first proposed by Dispierre et al [12], and recently Rogero [13] and Zomoradian et al [14] reported some success. Their approaches basically focused on the use of genetic algorithms in conjunction with one-dimensional semi-empirical geometry-independent network codes [15] at preliminary design stages.…”

Section: Introductionmentioning

confidence: 99%