Figure 3 Result browsing interface
Conclusions GROMS convergence series tends to be the baseline one-di- mensional global optimal solution. Due to the efficiency of its database, the last four OBJ values are slightly higher than those of the flow model. The interaction of multiple physical properties results in a slight increase in the yield of light dis - tillate. After the turning point of 6%, the other LP program falls into an obvious local optimal solution. The GROMS nonlinear production planning model reached the baseline objective function, while the other LP program suffered from a local optimum and lower objective function. Application scenarios GROMS can be used to optimise all petrochemical enter- prise processes from procurement to production and sales, logistics scheduling optimisation of raw material procure - ment and product sales, planning optimisation, and sched- uling optimisation of the production process. These include
single-plant optimisation and global optimisation of mul- ti-plant and multi-cycle in headquarters. The optimisation of all aspects of the refining and chemical industry can be applied to realise closed-loop application. Crude oil pipeline mix optimisation (NLP model) Case highlights: GROMS can establish a complex multi- refinery regional optimisation model associated with the pipeline network and realise the collaborative optimisation of multi-enterprise crude oil procurement in the pipeline network. The model has been used to establish regional enterprise optimisation along the Yangtze River (ROMY), including pipeline deliveries. The model problem includes five medium-sized refin - eries and a pipeline network consisting of the main crude oils delivered by ship through two ports to an in-transit oil depot for mixing and delivery through two main pipelines to each refinery. Each refinery can purchase pipeline crude of the same mix to improve profitability. Crude oil is pur - chased and delivered while considering the economics of each refinery and enterprise profitability. The optimised results are summarised in Table 1. The optimum crude mix was created and delivered to each refinery, as reported in Table 1. The individual crude marginal and break-even values are determined from the optimum solution and ranked in Table 2 . The marginal bene - fit of the individual imported pipeline crude oils can be used for analysis and development of procurement strategies.
24200 24800 24600 24400 25000 25200 25400 25600 25800
Flow model FOR all.
GROMS
Other program
Refining maintenance shutdown optimisation (MINLP model)
Case highlights: GROMS can establish an optimisation model for MIP maintenance plans in complex refineries and
Figure 4 Verification of global optimal solution
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PTQ Q2 2025
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