Affiliation:
1. University of South Australia
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.
Publisher
Trans Tech Publications, Ltd.
Reference48 articles.
1. J. L. S. Humphrey, A.F. Seibert and R. A. Koort, Separation technologies: advances and priorities, U.S. Department of Energy Report, DOE/ID/12920-1 (1991).
2. F. Smaïli, V. S. Vassiliadis, and D. I. Wilson, Mitigation of fouling in refinery heat exchanger networks by optimal management of cleaning, Energy & Fuels, 15 (2001) 1038-1056.
3. G. T. Polley, D. I. Wilson, B. L. Yeap, and S. J. Pugh, Evaluation of laboratory crude oil threshold fouling data for application to refinery pre-heat trains, Applied Thermal Engineering, 22 (2002) 777-788.
4. B. L. Yeap, D. I. Wilson, G. T. Polley, and S. J. Pugh, Mitigation of crude oil refinery heat exchanger fouling through retrofits based on thermo-hydraulic fouling models, Chemical Engineering Research and Design, 82 (2004) 53-71.
5. E. M. Ishiyama, W. R. Paterson, and D. I. Wilson, Optimum cleaning cycles for heat transfer equipment undergoing fouling and ageing, Chemical Engineering Science, 66 (2011) 604-612.
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