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Algorithms stoichiometry

When the kinetics are unknown, still-useful information can be obtained by finding equilibrium compositions at fixed temperature or adiabatically, or at some specified approach to the adiabatic temperature, say within 25°C (45°F) of it. Such calculations require only an input of the components of the feed and produc ts and their thermodynamic properties, not their stoichiometric relations, and are based on Gibbs energy minimization. Computer programs appear, for instance, in Smith and Missen Chemical Reaction Equilibrium Analysis Theory and Algorithms, Wiley, 1982), but the problem often is laborious enough to warrant use of one of the several available commercial services and their data banks. Several simpler cases with specified stoichiometries are solved by Walas Phase Equilibiia in Chemical Engineering, Butterworths, 1985). [Pg.2077]

A simulator based on this algorithm and generating multiple S = 1/2 components in adjustable stoichiometries each inhomogeneously broadened according to Equation 9.18 is part of the program suite. [Pg.161]

Molecular modeling seeks to answer questions about molecular properties— stabilities, reactivities, electronic properties—as they are related to molecular structure. The visualization and analysis of such structures, as well as their molecular properties and molecular interactions, are based on some theoretical means for predicting the structures and properties of molecules and complexes. If an algorithm can be developed to calculate a structure with a given stoichiometry and connectivity, one can then attempt to compute properties based on calculated molecular structure and vice versa. [Pg.131]

The basis of molecular modeling is that all important molecular properties, i. e., stabilities, reactivities and electronic properties, are related to the molecular structure (Fig. 1.1). Therefore, if it is possible to develop algorithms that are able to calculate a structure with a given stoichiometry and connectivity, it must be possible to compute the molecular properties based on the calculated structure, and vice versa. There are many different approaches and related computer programs, including ab-initio calculations, various semi-empirical molecular orbital (MO) methods, ligand field calculations, molecular mechanics, purely geometrical approaches, and neural networks, that can calculate structures and one or more additional molecular properties. [Pg.2]

Table 8-3. (continued) PFR/PBR Algorithm for Heat Effects 3. Stoichiometry (gas phase, no AP) ... [Pg.462]

Initially, the algorithm considers each individual reaction step as a partial mechanism. Then, one intermediate after another are examined, and the set of partial mechanisms is modified so that the intermediate does not appear in the net stoichiometry the modification of mechanisms is carried out in a way that preserves the correct direction of irreversible reaction steps. By processing all intermediates in this way, a set of overall mechanisms is constructed. This final set of mechanisms might include duplicate mechanisms and even indirect ones these can be easily discarded. Similar action must be taken in the procedure of H S. Mavrovouniotis (1992) discusses procedures for eliminating such redundant mechanisms in the end, or even preventing their construction. [Pg.155]

The second important property of the algorithm is its completeness. The synthesis algorithm creates a final set of pathways such that any pathway satisfying the original stoichiometry constraints is present in the final set. The basis of this property is that the elimination procedure is guaranteed to preserve legitimate pathways. A more detailed discussion of these properties is given by Mavrovouniotis et al. (1992). [Pg.184]

Some of these constraints are linear in nature. For example, a restriction on the endothermic or exothermic character of a pathway is a linear constraint on the enthalpy of reaction. If we take a linear combination of reactions (or pathways) the enthalpy of the resulting pathway is the corresponding linear combination of the enthalpies of the constituent reactions or pathways. For these linear situations, the quantity being constrained can be considered as merely another species, whose stoichiometry is subject to the type of constraints already tackled by the algorithm. Thus, the synthesis algorithm can deal with these specifications with little or no modification. [Pg.184]

We presented here a conceptual framework and algorithms for the synthesis of pathways or mechanisms given a set of steps. The algorithms have been applied to catalytic reaction systems and to biochemical pathways. The basic approach is based on successive processing and elimination of reaction intermediates that should not appear in the net stoichiometry of the overall reactions accomplished. [Pg.185]

Since the feed flow rate of hydrogen and the reactants temperature are searched for, the upper and lower bounds stipulated for these variables in the optimization algorithms were selected according to the hydrogenation reaction stoichiometry and practical possible temperatures. For the optimizations here accomplished, the o-cresol feed rate was considered to be 1.29 kmol/h. In this way. Table 1 shows the lower and upper bounds of the considered decision variables. [Pg.486]

Roberts and Johnston considered stoichiometric clusters (MgO) and used a genetic-algorithms approach in optimizing the structures. In this case, the cutting and mating processes have to be performed with care by simply cutting two clusters and interchanging the halves, the stoichiometry may not be kept. Roberts and Johnston devised, however, a method with which the children clusters and the parent clusters have the same stoichiometry. [Pg.304]

Examples on How to Ese Table 8-1. Wc now couple the energy balance equations in Table 8-1 with the appropriate reactor mole balance, rate law. stoichiometry algorithm to solve reaction engineering problems with heat effects. For example, recall rate law for a first-order reaction. Equation (E8-1.5) in Example 8-1. [Pg.478]

Write out the general algorithm and derive an expression for conversion as a function of time, the reactor parameters, and the catalyst parameters. Fill in the following algorithm Mole balance Rate law Decay law Stoichiometry ... [Pg.750]

Gibbs free energy minimisation. This model does not need the specification of stoichiometry, but only of the species taking part in reactions. Reliable algorithms are available due to the works of W. Seider and co-workers (1979-1981). [Pg.75]


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