Solution of the SSAM or redox equations

McLean, David D.; Boag, I. F.; Bacon, D. W.; Downie, J.

doi:10.1002/cjce.5450570509

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…The value for CA was then used in the second equation, which was similarly solved implicitly for CB, and so on. McLean, Boag et al (1979) have recently proposed an excellent general procedure for solving the systems of nonlinear equations actions. A system of implicit nonlinear equations is transformed to a single nonlinear implicit equation and a system of linear equations.…”

Section: Problemsmentioning

confidence: 99%

Kinetic Modelling with Multiresponse Data

Ziegel¹,

Gorman²

1980

Technometrics

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Section: Problemsmentioning

confidence: 99%

Kinetic Modelling with Multiresponse Data

Ziegel¹,

Gorman²

1980

Technometrics

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“…Fig. 1) has the following form": The contact time t can be transformed since the denominator X appears in all rate equations [4]:…”

Section: Methods Of Parameter Estimationmentioning

confidence: 99%

Parameter estimation from integral Mars‐van Krevelen type of kinetic data of a reaction network

Baerns

Duy

1989

Chem Eng & Technol

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“…The value for C, was then used in the second equation, which was similarly solved implicitly for C,, and so on. McLean, Boag et al (1979) have recently proposed an excellent general procedure for solving the systems of nonlinear equations which occur in the kinetic models for continuous rerameters. The transformations shown in (14) for k, actions.…”

Section: Techniques For Handling Complex Problemsmentioning

confidence: 99%

Kinetic Modelling With Multiresponse Data

Ziegel¹,

Gorman²

1980

Technometrics

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In the chemical and petrochemical industries kinetic models are useful for describing the physical and chemical steps that occur in commercial processes. Often kinetic models involve several responses. Box and Draper (1965) have demonstrated that using multiresponse data for estimating the parameters in a model results in confidence regions for the parameters that are smaller than those obtained when the responses are considered individually, and they have developed a procedure for the multiresponse estimation of common parameters. Using multiresponse data also provides a better understanding of the reaction mechanism and makes possible a more comprehensive assessment of the correctness of the proposed model. Data from an oil shale pyrolysis experiment was used to fit and critique a sequence of models. These showed that conversion of the organic material in shale to oil was better explained when an intermediate product was included in the reaction network, and multiresponse techniques were employed. This led to a plausible kinetic representation of the pyrolysis process. Multiresponse models for more complex reaction mechanisms may require the estimation of a large number of parameters. An example is given, methods for minimizing computational difficulties in this situation are discussed, and some numerical results are presented.

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Solution of the SSAM or redox equations

Abstract: An efficient procedure for solving the steady-state adsorption model (SSAM) or oxidation-reduction model (REDOX) equations is presented for batch, plug flow and backmix systems.

Cited by 6 publications

References 11 publications

Kinetic Modelling with Multiresponse Data

Kinetic Modelling with Multiresponse Data

Parameter estimation from integral Mars‐van Krevelen type of kinetic data of a reaction network

Kinetic Modelling With Multiresponse Data

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