Logo

Thermal and hydraulic impacts consideration in refinery crude preheat train cleaning scheduling using recent stochastic optimization methods

Biyanto, T.R. and Ramasamy, M. and Jameran, A.B. and Fibrianto, H.Y. (2016) Thermal and hydraulic impacts consideration in refinery crude preheat train cleaning scheduling using recent stochastic optimization methods. Applied Thermal Engineering, 108 . pp. 1436-1450.

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Fouling in heat exchanger network (HEN) in a refinery has been identified as a major obstacle for efficient energy recovery. Fouling causes loss in efficiency over the time, additional pumping cost and loss of production due to additional downtime. A complex crude preheat train (CPT) in a petroleum refinery was chosen in this study to represent an industrial HEN experiencing severe fouling and huge economic losses due to fouling issues. The objective of this study was to develop a realistic cleaning schedule optimization problem. An improved optimization problem for the cleaning schedule of the heat exchangers in the CPT was developed which takes into account the hydraulic impact of fouling through the additional pressure drops. The problem fall into the MINLP class, which is very complex and finding the global optimum is a challenging task. Hence, the recent stochastic methods are proposed and used to solve the MINLP problem without introducing any approximations or simplifying assumptions. Optimizations were performed over an operating period of 44 months following crude slate variations and operating conditions of the refinery. The solution provided by recent stochastic algorithms is global optimum solution. The results show that ignoring the additional pumping cost in the objective function resulted in an optimal cleaning schedule that provides a less savings (18.09 of maximum potential savings) in the net loss compared to the optimal cleaning schedule that utilizes the additional pumping cost in the objective function, which increases about 19.34 of maximum potential savings. © 2016 Elsevier Ltd

Item Type:Article
Impact Factor:cited By 16
Uncontrolled Keywords:Cleaning; Complex networks; Costs; Crude oil; Fouling; Heat exchangers; Losses; Problem solving; Pumps; Refining; Stochastic systems, Additional pressure drops; Cleaning schedules; Global optimum solutions; Heat exchanger network; Hydraulic impacts; Simplifying assumptions; Stochastic algorithms; Stochastic optimization methods, Optimization
ID Code:25671
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:27 Aug 2021 09:39
Last Modified:27 Aug 2021 09:39

Repository Staff Only: item control page