algorithms are search algorithms which minimise or maximise an objective function. The algorithm checks a large search space of possible solutions to determine the optimal solution. Table 5 compares the technical optimum solution with the LP evolutionary optimisation configuration. This suggests that reducing the capacity of the synthetic fuel units (from 39,000 to 20,075 TPA) with a smaller reduction in the CO 2 captured (from 900,000 to 884,23) can reduce the total cost to 69% of the technical optimum solution for a minor 2% reduction in the amount of CO 2 captured and used. The models are based on a set of algorithms defined by the author, using correlations created from several years of experience in similar studies and projects. These values must be considered only as references, as they have been simplified for descriptive purposes. For real projects, the analysis must be performed using complete and non-simplified models and algorithms. Conclusions The suggested configuration for a hybrid refinery as a fuels production centre, combining
Item
Technical optimum
LP evolutionary
optimisation
Total cost (€)
2,284,500,000
1,596,134,877
CO 2 captured (TPA) Synthetic fuel (TPA)
900,000 39,000
884,230 20,075
Table 5 Comparison of costs under the technical optimum and LP evolutionary optimisation cases grey, blue, and green fuels, while using carbon capture and renewable hydrogen for a production slate prepared for a transition period, is practical and achievable. It uses proven and existing technologies and operates in conjunction with the refinery's existing units. These configurations provide a range of solutions and alternatives that allow operators to realistically and feasibly define strategies for reducing their carbon footprint, helping them transition towards a future net zero approach.
Juan Carlos Latasa López jclatasa@idom.com
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