Integrated approaches to the application of advanced modeling technology in process development and optimization

Conference · Sun Dec 31 00:00:00 EST 1995

OSTI ID:175491

Allgor, R J; Feehery, W F; Tolsma, J E ^[1]

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1. Massachusetts Institute of Technology, Cambridge, MA (United States); and others

The batch process development problem serves as good candidate to guide the development of process modeling environments. It demonstrates that very robust numerical techniques are required within an environment that can collect, organize, and maintain the data and models required to address the batch process development problem. This paper focuses on improving the robustness and efficiency of the numerical algorithms required in such a modeling environment through the development of hybrid numerical and symbolic strategies.

• Research Organization: Argonne National Lab. (ANL), Argonne, IL (United States)
• OSTI ID: 175491
• Report Number(s): CONF-9505200-; ON: DE96000983; TRN: 96:003523
• Resource Relation: Conference: 13. symposium on energy engineering sciences, Argonne, IL (United States), 15-17 May 1995; Other Information: PBD: [1995]; Related Information: Is Part Of Thirteenth symposium on energy engineering sciences: Proceedings. Fluid/thermal processes, systems analysis and control; PB: 275 p.
• Country of Publication: United States
• Language: English

Related Subjects

99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
INTEGRAL EQUATIONS
NUMERICAL SOLUTION
DIFFERENTIAL EQUATIONS
ALGORITHMS
ITERATIVE METHODS
NONLINEAR PROBLEMS
OPTIMIZATION