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Chapter 6<br />

CHAPTER 6<br />

NUMERICAL SIMULATION OF A SYNGAS- FUELLED ENGINE<br />

Over the past years, several simu<strong>la</strong>tion co<strong>de</strong>s of varying <strong>de</strong>gree of sophistication of the<br />

SI engine <strong>combustion</strong> process have been <strong>de</strong>veloped and applied to predict engine<br />

performance (Rakopoulus, 1993). However, sparse theoretical studies have been<br />

reported so far in the literature as regards mo<strong>de</strong>ling syngas <strong>combustion</strong> in SI engines<br />

(Sridhar et al. 2006; Rakopoulus et al., 2008). Therefore, computational mo<strong>de</strong>ls of<br />

syngas <strong>combustion</strong> in SI engines are strongly <strong>de</strong>sirable; in or<strong>de</strong>r to supplement the<br />

relevant experimental studies that usually concern operation of pure syngas.<br />

tel-00623090, version 1 - 13 Sep 2011<br />

Several mo<strong>de</strong>l frameworks are used for the simu<strong>la</strong>tion of the ‘closed’ part of the sparkignition<br />

engine cycle; these can be c<strong>la</strong>ssified as ‘zero-’, ‘multi-zone’ and ‘multidimensional’<br />

mo<strong>de</strong>ls. The first two types are c<strong>la</strong>ssified as thermodynamic mo<strong>de</strong>ls,<br />

where the equations constituting the basic structure of the mo<strong>de</strong>l are based on<br />

conservation of mass and energy and are only <strong>de</strong>pen<strong>de</strong>nt on time (resulting in ordinary<br />

differential equations). Multidimensional mo<strong>de</strong>ls are also termed fluid mechanic or fluid<br />

dynamic mo<strong>de</strong>ls, where the governing equations are the Navier–Stokes equations in<br />

addition to conservation of mass and energy. Multi-zone mo<strong>de</strong>ls are distinguished from<br />

zero-dimensional mo<strong>de</strong>ls by the inclusion of certain geometrical parameters in the<br />

basic thermodynamic approach.<br />

The choice of multi-zone or multi-dimensional mo<strong>de</strong>l is <strong>la</strong>rgely <strong>de</strong>termined by the<br />

application. If the objective is to evaluate a <strong>la</strong>rge range of conditions, perform<br />

parametric studies and/or predict optimum engine settings, a reasonable accuracy and<br />

fast computation on a PC system is <strong>de</strong>sirable. These conditions are satisfied by multizone<br />

mo<strong>de</strong>ls. Recent examples are the investigations of causes for cycle-to-cycle<br />

variations in engines (Aghdam et al., 2007) and causes for the increased <strong>combustion</strong><br />

variability leading to lean limits (Aya<strong>la</strong> and Heywood, 2007). Multi-dimensional mo<strong>de</strong>ls<br />

are inappropriate for such studies as they are computationally too <strong>de</strong>manding. Their<br />

best use is for more <strong>de</strong>tailed studies for limited conditions or particu<strong>la</strong>r features (e.g.<br />

flow through valves, fuel injection, bulk in-cylin<strong>de</strong>r flow and turbulence <strong>de</strong>velopment), or<br />

to support theory and mo<strong>de</strong>l <strong>de</strong>velopment.<br />

The following reports in <strong>de</strong>tail the <strong>de</strong>velopment and validation of a multi-zone<br />

thermodynamic <strong>combustion</strong> mo<strong>de</strong>l. The purpose is the prediction of the engine incylin<strong>de</strong>r<br />

pressure. The validation of the co<strong>de</strong> is ma<strong>de</strong> by comparison with experimental<br />

167

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