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Konstantinos G. Kyprianidis Module Development prohibitive. An additional disadvantage of all analytical methods is the require- ment for a large amount of input data (i.e. boundary conditions) that are not always readily available. Semi-empirical models are well suited for conceptual design of novel engine concepts, since only a limited amount of data is usually available at the beginning of such projects. The latter constraint makes the im- plementation of the computationally more expensive phenomenological models (for example models based on stirred reactor networks), within TERA2020, a fairly challenging task. The author therefore argues: For a conceptual design tool like TERA2020, that com- bines different disciplines at a reduced level of modelling complexity, semi-empirical models pose as the best avail- able choice. 3.3.2 Semi-empirical correlations and P3T3 methods for NOx Over the years, a large amount of semi-empirical correlations have been proposed by several authors. These models assume that the amount of NOx is dependent on the following three factors [8]: • Mean residence time in the combustor • Chemical reaction rates • Mixing rates A large amount of semi-empirical correlations may be found in the literature for different combustor designs. Mellor [108] provides good insight on semi-empirical correlations derived before the 1980’s. Lefebvre [109] proposed a model suitable for conventional spray combustors, based on experimental data. Odgers and Kretschner [110], Malte et al. [111], Lewis [112], Rokke et al. [113], and Rizk and Mongia [114,115] have all contributed semi-empirical models derived for indus- trial and aero gas turbine combustor designs. Becker and Perkavec [116], and Nicol et al. [117] provide an analytical review of various semi-empirical models 53PDF Image | Multi-disciplinary conceptual design of future jet engine systems
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