Evaluation of Crude Oil Heat Exchanger Network Fouling Behavior Under Aging Conditions for Scheduled Cleaning

Diaby, Abdullatif Lacina; Miklavcic, Stanley J.; Bari, Saiful; Addai‐Mensah, Jonas

doi:10.1080/01457632.2015.1119583

Cited by 11 publications

(4 citation statements)

References 24 publications

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“…Optimisation of cleaning schedules for CDU network exchangers has received considerable attention over the last 10 years (e.g. Rodriguez and Smith (2007); Ishiyama et al, 2009, Ishiyama et al, 2010b; Liu et al (2015); Diaby et al (2016); Diaz-Bejarano et al (2016)), building on the development of quantitative models for predicting the rate of fouling in different exchangers, as reviewed by Wilson et al (2017).…”

Section: Introductionmentioning

confidence: 99%

Incorporating Deposit Ageing into Visualisation of Crude Oil Preheat Train Fouling

Ishiyama¹,

Pugh²,

Wilson

2020

Process Integr Optim Sustain

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Fouling is an acute problem in crude oil preheat train heat exchangers as it affects the thermal and hydraulic performance of individual units as well as the network. Ageing of fouling deposits complicates these interactions and effective tools for visualising these effects are needed. The modified temperature field plot construction, devised by Graham Polley and coworkers in 2002, allows the impact of fouling on pressure drop and heat duty across individual units and the preheat train to be presented in a systematic way. The simple deposit ageing model of Ishiyama et al. (AIChEJ 56:531-545, 2010a) was incorporated into the analysis of a simple preheat train based on that presented by Panchal and Huang-Fu (Heat Transfer Eng 21:3-9, 2000) to calculate the impact of ageing on fouling dynamics and network performance. The modified temperature field plot is shown to be effective in communicating the impact of fouling and ageing, allowing a designer or operator to be able to interpret correctly what might otherwise be conflicting trends or unexpected behaviour. Keywords Ageing. Fouling. Network. Pressure drop Highlights • Ageing can switch the main impact of fouling from duty loss to pressure drop. • The modified temperature field plot is an effective way of presenting the thermal and hydraulic performance of the network. • The plot allows the designer or operator to understand fouling impacts and assess mitigation options.

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Section: Introductionmentioning

confidence: 99%

Incorporating Deposit Ageing into Visualisation of Crude Oil Preheat Train Fouling

Ishiyama¹,

Pugh²,

Wilson

2020

Process Integr Optim Sustain

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“…Past literature dealing with potential time-variation of the conductivity of crude oil fouling deposits focussed on gradual conductivity increase over time due to ageing of organic deposits [34,56,[61][62][63][64][65][66][67][68].…”

Section: Apparent Fouling Layer Thickness and Conductivitymentioning

confidence: 99%

Organic and inorganic fouling in heat exchangers – Industrial case study: Analysis of fouling state

et al. 2017

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A comprehensive model-based thermo-hydraulic methodology is used to investigate fouling behaviour in refinery heat exchangers where high concentration of inorganics in the deposits was reported. The method combines a data-driven analysis of plant measurements (including pressure drop) with a model-based analysis using advanced models of shell-and-tube heat exchangers undergoing fouling. A deposit model capable of tracking composition and deposition history was extended to include thermal-conductivity mixing models appropriate for various deposit structures. Substantial new and useful information can be extracted from the plant measurements in comparison to current practice: the thickness, the effective conductivity, and the radial conductivity and composition profiles of the deposits, reflecting the exchanger operation history. Episodes of rapid and acute fouling, and deposition of inorganic materials could be identified and quantified. A validation of the approach was carried out by (i) a comparison of averaged predicted and experimental inorganic weight fractions in a mixed deposit sample collected at the end of run, and (ii) an initial comparison of predicted radial inorganics profiles and experimental ones (obtained with SEM-EDX) in deposits from similar exchangers. Both steps yielded surprisingly good agreement. The study indicates that the method employed represents a new powerful, model-based analysis tool for monitoring, diagnosis and troubleshooting of fouling in heat exchangers

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“…When HEN is operated for a long time, however, its overall performance can be seriously deteriorated by the fouling of individual heat exchangers. Complex constituents of the crude oil and their involved high-temperature reactions can stimulate the deposition and accumulation of undesirable insulating materials on the internal surface of heat exchanger (i.e., fouling), resulting in increase of heat transfer resistance [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Cleaning Schedule Optimization of Heat Exchanger Network Using Moving Window Decision-Making Algorithm

Dekebo

Lee

2023

Applied Sciences

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A moving window decision-making algorithm is proposed for the cleaning schedule optimization of heat exchanger network system subject to fouling in refinery crude preheat train. This algorithm is designed by incorporating the moving window scheme into a conventional multi-period optimal control problem (OCP) framework and has a distinct feature that it can efficiently handle a complex problem where a long-time horizon is considered. When compared with the conventional multi-period OCP method using fixed time horizon, our algorithm always shows an excellent performance regarding the computational time, still finding a compatible optimal solution. In our moving window decision-making algorithm, it is important to determine the optimal moving window size for the given time horizon as it significantly influences the optimization performance.

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Evaluation of Crude Oil Heat Exchanger Network Fouling Behavior Under Aging Conditions for Scheduled Cleaning

Cited by 11 publications

References 24 publications

Incorporating Deposit Ageing into Visualisation of Crude Oil Preheat Train Fouling

Incorporating Deposit Ageing into Visualisation of Crude Oil Preheat Train Fouling

Organic and inorganic fouling in heat exchangers – Industrial case study: Analysis of fouling state

Cleaning Schedule Optimization of Heat Exchanger Network Using Moving Window Decision-Making Algorithm

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