Design of refinery hydrogen recycling networks using enhanced genetic algorithm
In any industry, the efficient utilization of resources brings about economic and environmental benefits. Refineries use hydrogen-consuming and hydrogen-generating processes to convert crude feedstocks into petroleum-based products. Thus, they require the efficient utilization and management of hydr...
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| Main Authors: | , , |
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| Format: | text |
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Animo Repository
2007
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/12022 |
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| Institution: | De La Salle University |
| Summary: | In any industry, the efficient utilization of resources brings about economic and environmental benefits. Refineries use hydrogen-consuming and hydrogen-generating processes to convert crude feedstocks into petroleum-based products. Thus, they require the efficient utilization and management of hydrogen. Obtaining the optimum hydrogen-recycling network requires matching available hydrogen sources with hydrogen sinks under constraints of stream quality, quantity and economics. The problem can be formulated as a multi-constraint knapsack problem. This paper explores the application of a modified genetic algorithm as an optimization technique to solve such a problem. Results show that the algorithm is capable of efficiently finding the model solution. |
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