Online Data Reconciliation with Poor Redundancy Systems

The paper deals with the integrated solution of different model-based optimization levels to face the problem of inferring and reconciling online plant measurements practically, under the condition of poor measure redundancy, because of a lack of instrumentation installed in the field. The novelty o...

Full description

Saved in:
Bibliographic Details
Published inIndustrial & engineering chemistry research Vol. 50; no. 24; pp. 14105 - 14114
Main Authors Manenti, Flavio, Grottoli, Maria Grazia, Pierucci, Sauro
Format Journal Article
LanguageEnglish
Published Washington, DC American Chemical Society 21.12.2011
Subjects
Applied sciences
Chemical engineering
Computer simulation
Exact sciences and technology
Feasibility
General Research
Instrumentation
Mathematical models
Online
Optimization
Redundancy
Refineries
Data reconciliation
Online AccessGet full text
ISSN0888-5885
1520-5045
DOI10.1021/ie202259b

Cover

More Information
Summary:The paper deals with the integrated solution of different model-based optimization levels to face the problem of inferring and reconciling online plant measurements practically, under the condition of poor measure redundancy, because of a lack of instrumentation installed in the field. The novelty of the proposed computer-aided process engineering (CAPE) solution is in the simultaneous integration of different optimization levels: (i) the data reconciliation based on a detailed process simulation; (ii) the introduction and estimation of certain adaptive parameters, to match the current process conditions as well as to confer a certain generality on it; and (iii) the use of a set of efficient optimizers to improve plant operations. The online feasibility of the proposed CAPE solution is validated on a large-scale sulfur recovery unit (SRU) of an oil refinery.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0888-5885
1520-5045
DOI:10.1021/ie202259b