Reliability of iterative linear equation solvers in chemical process simulation

The scene graph structure of Fischer-Tropsch synthesis (FTS) was constructed. In the meanwhile, the assembly unit model of equipment was designed. The main FTS reactor and its mathematical physical model were described. Platform for chemical process simulation was established, on base of the virtual assembly for FTS. The method of data transfer in common chemical process simulation was proposed. The composition and flow rate of components, as well as the temperature and pressure of the FTS reactor was investigated by the one dimensional quasi homogeneous model. The relative error is less than 3% between the calculation and experiment. The accuracy of the system process simulation is reliable. It is verified that the simulation method of chemical process is feasible on base of the virtual assembly. This work studies a new way for simulation of the FTS, and also provides technologic supports for the simulation of chemical process based on virtual assembly.

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New developments in chemical process simulation-FLOWSIM

Mathematical Modelling ◽

10.1016/0270-0255(82)90034-3 ◽

1982 ◽

Vol 3 (6) ◽

pp. 559-572

Author(s):

Paul D. Babcock ◽

L.F. Stutzman

Keyword(s):

Process Simulation ◽

Chemical Process ◽

New Developments

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A Parallel Processing Approach to Dynamic Simulation of Ethylbenzene Process

Processes ◽

10.3390/pr9081386 ◽

2021 ◽

Vol 9 (8) ◽

pp. 1386

Author(s):

Junkai Zhang ◽

Zhongqi Liu ◽

Zengzhi Du ◽

Jianhong Wang

Keyword(s):

Parallel Computing ◽

Dynamic Simulation ◽

Process Simulation ◽

Chemical Process ◽

Process Model ◽

Chemical Processes ◽

Data Driven ◽

Computer Performance ◽

Speed Up ◽

General Dynamic

Parallel computing has been developed for many years in chemical process simulation. However, existing research on parallel computing in dynamic simulation cannot take full advantage of computer performance. More and more applications of data-driven methods and increasing complexity in chemical processes need faster dynamic simulators. In this research, we discuss the upper limit of speed-up for dynamic simulation of the chemical process. Then we design a parallel program considering the process model solving sequence and rewrite the General dynamic simulation & optimization system (DSO) with two levels of parallelism, multithreading parallelism and vectorized parallelism. The dependency between subtasks and the characteristic of the hottest subroutines are analyzed. Finally, the accelerating effect of the parallel simulator is tested based on a 500 kt·a−1 ethylbenzene process simulation. A 5-hour process simulation shows that the highest speed-up ratio to the original program is 261%, and the simulation finished in 70.98 s wall clock time.

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