Design of refinery hydrogen recycling networks using enhanced genetic algorithm

• Main Authors: Aviso, Kathleen B., Tan, Raymond Girard R., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2007
• Subjects: Genetic algorithms; Recycling (Waste, etc.); Hydrogen; Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/12022
• Institution: De La Salle University

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.