Applying thermo-hydraulic simulation and heat exchanger analysis to the retrofit of heat recovery systems

Polley, G. T.; Tamakloe, Elvis Koku; Núñez, M. Picón; Ishiyama, Edward M.; Wilson, D.I.

doi:10.1016/j.applthermaleng.2012.09.007

Cited by 14 publications

(7 citation statements)

References 6 publications

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“…Given the lack of laboratory experimental data, owing to the cost and complexity of conducting such experiments, he worked on different approaches to dealing with plant data, with a noteworthy emphasis on generating forms that could be used in practice for design or operation of units. His work on utilising fouling prediction models to predict performances of crude preheat trains and furnaces has been presented elsewhere (Ishiyama et al 2012a(Ishiyama et al , 2012b(Ishiyama et al , 2011Kumana et al 2010;Morales-Fuentes et al 2011;Polley et al 2013Polley et al , 2011bPolley et al , 2011a. The case study presented here employs the asphaltene precipitation model (APM) which he proposed (see Ishiyama et al (2013)), where…”

Section: Quantifying the Impact Of Fouling-the Modified Temperature Fmentioning

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: Quantifying the Impact Of Fouling-the Modified Temperature Fmentioning

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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“…Table A3 lists papers where threshold-fouling-dynamics models have been used in studies of individual exchangers [44][45][46][48][49][50][51]. Table A4 summarises papers where these have been employed in analyses of plant or preheat train design and operation [38,49,[52][53][54][55][56][57][58][59][60]. These are not intended to be exhaustive lists, as the intention is to illustrate the range of activity that has been facilitated by the concept.…”

Section: Threshold Models For Fouling Dynamicsmentioning

confidence: 99%

“…Polley et al [57] Considers the use of dynamic fouling models (including crude oil and cooling water systems) in thermo-hydraulic simulations to identify industrially relevant and practically viable solutions to fouling. This is combined with analysis of heat recovery networks when considering retrofits in order to generate robust solutions.…”

Section: Reference Descriptionmentioning

confidence: 99%

Twenty Years of Ebert and Panchal—What Next?

Wilson

Ishiyama²,

Polley

2016

Heat Transfer Engineering

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Ebert and Panchal introduced the 'threshold fouling' approach for describing the initial rate of crude oil chemical reaction fouling at the meeting in this series of conferences held in San Luis Obispo in 1995. This paper summarises reviews of developments in the threshold modelling approach over the last ten years, following the review by Wilson et al. at the 2005 meeting. Three areas are considered: (i) The development of quantitative models, which has seen little activity but a switch toward using the threshold models to describe fouling dynamics. One of the reasons for the stagnation in development is the need to incorporate chemical understanding. (ii) The types and range of data sets which have been processed with these models, and an evaluation of the parameters. (iii) Applications where the models are used to predict fouling, or the likelihood of fouling. This is the area that has seen greatest activity, linked to the use of threshold models to describe fouling dynamics. Topics for future research and development are discussed.

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“…Fired heaters are inherent complicated and nonlinear systems and different incidences could strongly affect their operating conditions and thermal performances. Unplanned variations in process inlet flow rate are one of these factors [4]. The failures of burners and combustion malfunction, which would lead to non-uniform temperature distribution in furnaces, are other factors that can deteriorate the thermal efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…Such models have been used for evaluating structural changes in order to retrofit the plant performances [4]. Although, thermo-hydraulic models are used to study individual components [13,14], but their main applications are in the analysis of heat recovery networks.…”

Section: Introductionmentioning

confidence: 99%