INES - An Interface Between Experiments and Simulation to Support the Development of Robust Process Designs

被引：25

作者：

Asprion, Norbert ^{[1
]}

Benfer, Regina ^{[1
]}

Blagov, Sergej ^{[1
]}

Boettcher, Roger ^{[1
]}

Bortz, Michael ^{[2
]}

Berezhnyi, Maksym ^{[2
]}

Burger, Jakob ^{[3
]}

von Harbou, Erik ^{[3
]}

Kuefer, Karl-Heinz ^{[2
]}

Hasse, Hans ^{[3
]}

机构：

[1] BASF SE, D-67063 Ludwigshafen, Germany

[2] Fraunhofer Inst Ind Math ITWM, D-67663 Kaiserslautern, Germany

[3] Univ Kaiserslautern, Lab Engn Thermodynam, D-67663 Kaiserslautern, Germany

来源：

CHEMIE INGENIEUR TECHNIK | 2015年 / 87卷 / 12期

关键词：

Data selection; Experimental design; Modeling; Robust planning; Sensitivity; MODEL-BASED DESIGN; PARAMETER PRECISION; DECISION-SUPPORT; SENSITIVITY; OPTIMIZATION; ETHANOL;

D O I：

10.1002/cite.201500020

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The development of chemical processes is based on both experiments and process simulations. Data evaluation and reconciliation, model development and validation, and design of experiments are essential steps in this procedure. The different tools and approaches available are usually not supported in an integrated way in the process developer's workflow. Therefore, a framework for process design was created and integrated in a tool box which supports process design comprehensively. It contains methods for data selection and reconciliation, sensitivity analysis, model validation and model adjustment.

引用

页码：1810 / 1825

页数：16

共 25 条

[1]

[Anonymous], 1999, Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data

[2]

[Anonymous], 2008, GLOBAL SENSITIVITY A, DOI DOI 10.1002/9780470725184.CH4

[3]

Arellano-Garcia H, 2007, CHEM-ING-TECH, V79, P1625, DOI 10.1002/cite.200700110

[4] Chance constrained optimization of process systems under uncertainty: I. Strict monotonicity [J].