Data reconciliation based on elemental balances applied to batch experiments

Fillon, Manuel; Meyer, M.; Pingaud, Hervé; Joulia, Xavier

doi:10.1016/0098-1354(95)87052-0

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…Further, the use of raw experimental measures without testing their quality can be a source of error for modeling. To avoid this problem, methods of data reconciliation were developed, largely in the 1990s [16]. The principle of reconciliation requires that we adjust the experimental data to fit an exact mathematical model.…”

Section: Data Reconciliation and Validationmentioning

confidence: 99%

See 1 more Smart Citation

A stoichiometric reaction scheme for Saccharothrix algeriensis growth and thiolutin production

Strub

Brandam

Meyer

et al. 2010

Process Biochemistry

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Section: Data Reconciliation and Validationmentioning

confidence: 99%

“…The first adaptation of the factorial analysis to the treatment of batch reactor data was performed by Hamer [13]. This method has undergone several adaptations since then [14][15][16][17][18]. This paper presents the results of this approach applied to the growth and production of thiolutin (the main dithiolopyrrolone produced) by Sa.…”

Section: Introductionmentioning

confidence: 99%

A stoichiometric reaction scheme for Saccharothrix algeriensis growth and thiolutin production

Strub

Brandam

Meyer

et al. 2010

Process Biochemistry

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“…Thus, for these techniques to be applied it is necessary to guarantee that process data were obtained at steady‐state conditions 39–40. Neither of these two assumptions are actually necessary for data reconciliation to be carried out, as the nonlinear,32, 36, 41–43 dynamic44–46 and dual nonlinear/dynamic30, 33, 47–49 nature of the model constraints may be preserved. In these cases, the reconciliation data problem is formulated as a traditional parameter estimation problem and is solved through standard numerical procedures, such as sequential quadratic procedures50 and quasi‐Newton algorithms 51…”

Section: The Data Reconciliation Problemmentioning

confidence: 99%

Continuous Soluble Ziegler‐Natta Ethylene Polymerizations in Reactor Trains, 2 – Estimation of Kinetic Parameters from Industrial Data

Embiruçu¹,

Prata²,

Lima³

et al. 2008

Macro Reaction Engineering

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We show that it is possible to estimate kinetic parameters for complex mechanistic polymerization models from available industrial data. A methodology is developed for efficient handling and reconciliation of industrial data and is then applied to allow estimation of kinetic parameters for industrial ethylene polymerizations performed in reactor trains using soluble Ziegler‐Natta catalysts. The parameter estimation procedure is formulated as a nonlinear optimization procedure subject to hard and soft model and process constraints. Parameter estimates obtained for the catalyst system allow a very good description of actual industrial data used during the estimation process and also allow very good prediction of process performance when completely new operating conditions are considered. It is concluded that complex phenomenological models can be successfully fitted to actual industrial processes without the need to carry out extensive experimental tests in the laboratory.

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“…A data reconciliation process was led in order to appreciably increase reliability and consistency of results: the elimination of aberrant measurements is performed on the base of the atomic conservation (Fillon et al, 1995). An accuracy of molar fractions of 3% can thus be expected.…”

Section: Materials and Analysismentioning

confidence: 99%