(374h) Optimisation-Based Design of a Heat-Integrated Crude Oil Distillation System Using Rigorous Simulation and Surrogate Models
This paper introduce a new framework for the design of crude oil distillation system that integrates a rigorous tray-by-tray crude oil distillation system model implemented in a process simulator (Aspen HYSYS) with an optimiser coded in MatLab. The approach takes advantage of the physical and thermodynamic property models, crude oil characterisation models and column sizing models available in the process simulator.
The proposed approach is implemented in three steps. First, the column superstructure of  for optimal feed location, total number of trays and optimal operating conditions is adapted to build the column superstructure using a rigorous tray-by-tray model in Aspen HYSYS. The superstructure consists of conditional and unconditional trays in all column sections, which are represented using Murphree tray efficiencies. In the second step, the problem is formulated as an MINLP with the number of trays in each column section defined as integer variable and the operating conditions as continuous variables. The heat recovery system is represented using Pinch analysis in order to determine the minimum utility requirements that will be used in the calculations. In the final step, an optimisation algorithm (genetic algorithm) is applied to optimise the system, thereby determining the optimal column configuration and operating conditions that minimise a given objective (e.g. total annualised cost).
To expedite the solution procedure, the proposed approach also explored the use of surrogate models based on neural networks that are constructed from a set of samples generated using the original simulation model.
The proposed approach has been applied to the design of a crude oil distillation system that separates crude oil into five products. Two design objectives of interest are considered namely, minimum total annualised cost and minimum energy cost. The results show that significant savings in total annualised cost and energy cost can be achieved using our approach without compromising the solution accuracy.
Â Yeomans, H. & Grossmann, I. E. Optimal design of complex distillation columns using rigorous tray-by-tray disjunctive programming models. Ind. Eng. Chem. Res. 2000, 39 (11), 4326â??4335