A Review of Optimal Scheduling Cleaning of Refinery Crude Preheat Trains Subject to Fouling and Ageing
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.
CPHT scheduling cleaning Fouling Ageing Optimisation
Abdullatif Lacina Diaby Luong Lee Amer Yousef Jonas Addai-Mensah
School of Advanced Manufacturing and Mechanical Engineering University of South Australia, Mawson La lan Wark Research Institute University of South Australia, Mawson Lakes, 5095 South Australia, Austr
国际会议
大连
英文
643-651
2011-10-19（万方平台首次上网日期，不代表论文的发表时间）