A Review of Optimal Scheduling Cleaning of Refinery Crude Preheat Trains Subject to Fouling and Ageing

Abstract:

Refinery crude preheat train (CPHT) is prone to fouling and ageing effects due to the complexity of processed crude feedstock preheated prior to distillation. This has serious implications on the thermal and hydraulic performance of the CPHT. As a result, efficient performance of crude preheat trains is compromised and as such, optimal scheduling cleaning operations are required to restore performance. In this paper, we attempt to review the subject of fouling/ageing control and mitigation in crude preheat train network by optimal scheduling cleaning approach. Three prominent optimisation techniques/models namely Mathematical Models (Mixed integer linear programming (MILP) and Mixed integer non-linear programming (MINLP) models); Artificial Intelligence (AI) Models; and Heuristic Techniques used for achieving optimal cleaning are outlined.

• Periodical: Applied Mechanics and Materials (Volumes 148-149)
• Pages: 643-651
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.148-149.643
• Online since: December 2011
• Authors: Abdullatif Lacina Diaby, Lee Luong, Amer Yousef, Jonas Addai Mensah
• Keywords: Aging, CPHT Scheduling Cleaning, Fouling, Optimization

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