Parallel Modular Dynamic Process Simulation
Authors
- Borchardt, Jürgen
- Ehrhardt, Klaus
- Grund, Friedrich
- Horn, Dietmar
2010 Mathematics Subject Classification
- 65Y05 80A30 65L05 65H10 65F50
Keywords
- Systems of differential-algebraic equations, Parallelization, Block partitioned systems, Newton-type methods, Sparse matrix techniques, Chemical process simulation, Dynamic Simulation of distillation plants
DOI
Abstract
To meet the needs of plant wide dynamic process simulation of today's complex, highly interconnected chemical production plants, parallelizable numerical methods using divide and conquer strategies are considered. The large systems of differential algebraic equations (DAE's) arising from an unit oriented modular modeling of chemical and physical processes in a chemical plant are partitioned into blocks. Using backward differentiation formulas (BDF), a partitioned system of nonlinear equations has to be solved at each discretization point of time. By formally extending these systems, block-structured Newton-type methods are applied for their solution. These methods enable a coarse grain parallelization and imply an adaptive relaxation decoupling between blocks. The resulting linear subsystems with sparse and unsymmetric coefficient matrices are solved with a Gaussian elimination method using pseudo code techniques for an efficient multiple refactorization and solution. Results from dynamic simulation runs for industrial distillation plants on parallel computers are given.
Appeared in
- Scientific Computing in Chemical Engineering II, vol. 2 (Keil, F., Mackens, W., Voss, H., and Werther, J., eds.) Springer-Verlag Berlin Heidelberg New York, 1999, pp. 152-159
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