ineos quantifying monitoring fouling refinery heat exchangers

Upload: goutam-giri

Post on 08-Jul-2018

232 views

Category:

Documents


0 download

TRANSCRIPT

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    1/18

    Quantifying and Monitoring FoulingQuantifying and Monitoring Fouling

    of Refinery Heat Exchangersof Refinery Heat Exchangers Application to refinery pre Application to refinery pre--heat trainsheat trains

    Robert Pes –

     

    Pierre Séré

     

    Peyrigain

     

    INEOS - 

    Lavéra - 

    France AspenTech

     

    User Conference, Berlin, April 2008

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    2/18

     Abstract Abstract

    It is well known that refineries contain a large number ofheat exchangers designed in complex arrangements.Unfortunately, it is also known that fouling occurs in these

    heat exchangers providing an obstruction to heat transferand fluid flow resulting in increased operating costs (lesscapacity, more cleanups…).

    For the last three years, models based on AspenHYSYS and Aspen TASC have been developed to monitorheat exchanger fouling for various refining units. These

    applications have been successfully installed and are still inuse to assist the manufacturing engineers in scheduling ofheat exchanger rinsing and cleaning. Optimizing theseoperations has been leading to significant savings.

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    3/18

    OutlineOutline

    Background

    Objectives

    Fouling Monitoring

    Cleaning / Rinsing Simulations Areas for Improvements

    Conclusions

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    4/18

    Lavera SiteLavera Site

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    5/18

    Raffinate2

    INEOS Arkema Naphtachimie/Appryl/Gexaro

    Oxochimie

    Ethylene Oxide

    HuntsmanEthoxylates

    Éthylene glycols

    Glycols ethers

    Ethanolamines

    Polyethylene

    Oxo Alcohols

    Butadiene

    Gexaro - Benzene

    Polyisobutene

    STE

     AM

    CR

     ACKER

    ButanolEthyl hexanols

    Butadiene

    C2

    Ethylene

    C3

    Propylene

    C4

    C5+Gasoline

    ELECTROL

    YSIS

    Iron Chloride

    Vinyle Chloridemonomer 

    Chloromethanes

    Chlorine

    Brine

    LDF(Naphta)

    LPG

    Pygas

    Polypropylene

    REFINER

    Y

    Gasoline

    LubricantDiesel

    Kerosene

    Bunker Fuels

    Bitumens

    Gas

    CrudeOil

    LPG(C3 – C4)

    BenzeneGasoline

     Acetates

    Raffinate 1Heating Oil

    Lavera ProductionLavera Production SchemeScheme

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    6/18

    BackgroundBackground

    In oil refining, it is well known that heat exchangers are prone to foulingand the increase in operating costs can be huge. Optimisation of rinsingand cleaning refinery heat exchangers is key.

    Three years ago, it was decided to develop a tool that would allowmanufacturing people to optimise rinsing and cleaning operations. Atthat time, the situation was as follows:

     –

     

    It was difficult to calculate accurately and rigorously the fouling of

    each heat exchanger of an entire heat exchanger train –

     

    Heat exchanger rinsing operation was carried out on a time basis,not according to the real fouling

     – 

    Rinsing and maintenance operations (cleaning) were not optimized,both in frequency and way to operate

     –

     

    There were no means to estimate the temperature increases at theoutlet of the heat exchangers train after a rinsing and / or a cleaning

    operation

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    7/18

    ObjectivesObjectives

    Develop a user friendly Excel Program, to be used bymanufacturing engineers, where all the heat exchanger

    fouling calculations would be automatic

    This program should be able to simulate the effect of a

    complete rinsing or the rinsing / cleaning of one (or more)heat exchanger(s)

    Calculate and then provide the operation engineers with asingle calculated parameter that indicates the fouling stateof the entire heat exchanger train

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    8/18

    Operatingconditions

    Lab

     

    analysis

    Excel File

    Source of value

     

    Visual and quick identif ication

    of fouled heat exchangers

    General FrameworkGeneral Framework

    Process Engineering

     Aspen HYSYS®

    V2004.1

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    9/18

    Fouling MonitoringFouling MonitoringCalculation Philosophy (1/2)Calculation Philosophy (1/2)

    For a defined period of time, automatic import into Excel of the followingdata (one set of data per shift):

    Plant data [Flowrate & Temperature] PI-datalink

    Lab analysis [density, viscosity and TBP] QIMS Sample Manager 

    VBA routines developed to analyse / correct the imported data and sendthis checked data to Aspen HYSYS 2004.1

    HX calculation carried out in Aspen HYSYS 2004.1 – HTFS TASC 5.10

    Calculations carried out one heat exchanger at a time for the entiretime period (one HYSYS file per heat exchanger created with the

    detailed geometry)

    VBA routines developed to retrieve results from HYSYS 2004.1 into Excel,like the clean overall heat transfer coefficient, U(clean), outlet temperature

    and pressure drop

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    10/18

    Dirty overall heat transfer coefficient, U(dirty), calculatedwithin Excel, from the current operating conditions

    (Udirty=Qactual / A / LMTDactual)

    Graphs U(dirty) / U(clean) built in Excel as a function of

    time

       U    d

       i  r   t  y

       /   U

       c   l  e  a  n

    Fouling MonitoringFouling MonitoringCalculation Philosophy (2/2)Calculation Philosophy (2/2)

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    11/18

    ExampleExample Aspen HYSYS Case Aspen HYSYS Case

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    12/18

    ExampleExample HeatHeat Exchanger ExchangerSetting PlanSetting Plan

    5.9055 2 Bolts

    Fixed

    2.9528

            8        8  .

            3

            2        2

    5.9055 2 BoltsSliding

    2.9528

            8        8  .

            3

            2        2

    356.2992 Overall

    39.7638 28.7008 217.7165

    65.6693 144.0157

    Pulling Length

    184

    T1

    T2 S1

    S2

     A

    End Length at Rear Head = 34.2

    End Length at Front Head = 14.6

    Nozzle Data

    Ref OD Wall Standard Notes

    S1 6.625" 0.28" 150 A NSI Slip on

    S2 6.625" 0.28" 150 A NSI Slip on

    T1 4.5" 0.337" 150 A NSI Slip on

    T2 3.5" 0.3" 150 A NSI Slip on

    Empty

     113760 lb

    Flooded

     194375 lb

    Bundle

     70972 lb

    Weight Summary

    Internal Volume ft³ 1013.511 437.5786

    PWHT

    Radiography None None

    Number of Passes 1 14

    Test Pressure psig

    Corrosion Allow ance in 0.125 0.125

    Full V acuum

    Design Temperature F 644. 788.

    Design Pressure psig 217.56 174.04

    Design Data Units Shell Channel

    Customer Specifications

    Design Codes

     ASME Section VIII Div. 1

    TEMA R

    Fabrication Number 

    Item Number 

    Project Location

    Project Reference

    P.O. Number 

    Customer 

    Revis ion Date

    11/13/2006

    Dw g. Chk. App.

    Tasc+Version

    Setting Plan

    BEM 100 - 240

    Drawing Number 

            6        3

            6        3

    T1

    T2

            6        3

            6        3

    S1

    S2

            6        4

    Views on arrow A

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    13/18

    Fouling predictionFouling predictionNFIT Calculations (1/2)NFIT Calculations (1/2)

     A file representing the entire heat exchanger train is created in HYSYS2004.1

    “End point” option is used for the calculation of all the heat exchangers

    VBA routines developed to export from Excel into HYSYS, constantoperating data and the overall dirty heat transfer coefficient (Udirty)

    Heat exchanger train outlet temperature is calculated at these conditionsand imported back from HYSYS into Excel

    NFIT is the Furnace Inlet Temperature calculated with standardconditions (temperature, flowrate & pressure) but with the current heatexchanger fouling

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    14/18

    Temperature@ the NFIT

    conditions

    Heat exchangerstrain cleanings

    Fouling predictionFouling predictionNFIT Calculations (2/2)NFIT Calculations (2/2)

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    15/18

    Cleaning / Rinsing SimulationCleaning / Rinsing SimulationOutlet Temperature CalculationsOutlet Temperature Calculations

    Select the exchangers that have to be cleaned / rinsed or theentire train to be cleaned / rinsed

    Calculate the heat exchanger train outlet T, using the last setof operating conditions with an estimated dirty overall heattransfer coefficients (Udirty) in the HYSYS global heatexchanger train simulation (end point option)

     

    For a cleaned heat exchanger :

     

    U dirty = U clean•

     

    For a rinsed heat exchanger :

     

    U dirty = X% * U dirty

    Source of value

     

    Maximise the heat exchanger train outlet temperature+3°C ≥

     

    -1% on Vacuum Residue flowrate ≥

     

    7.5 k$/day

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    16/18

    Since 2005, three applications, based on the aforementionedprinciples, were developed: one for the CDU and one foreach VDU

    It has been demonstrated (based on the graphs Udirty/Uclean)that increasing the rinsing frequency while decreasing therinsing length, allows us to maximise the outlet

    temperature, all through the year  This optimised rinsing procedure allows us to double the

    length of operation between two physical heat exchanger

    cleanings

    Source of value

     

    For one VDU unit, the profit has been

    estimated between 1.5 and 2 M$/year 

    Cleaning / Rinsing SimulationCleaning / Rinsing SimulationBenefits and ProfitsBenefits and Profits

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    17/18

     Areas for Improvements Areas for Improvements

    The main difficulties encountered during these projectswere linked to some limitations of TASC 5.10

     –

     

    When using HTFS-TASC, as calculation engine for detailed shell &tube exchanger simulation in HYSYS 2004.1, only a few data itemscan be linked with Excel via VBA routines

     –

     

    In TASC 5.10, if the number of tube side passes generates atemperature crossing, HYSYS does not converge and eventuallycrashes

     As next step, it is planned to replace all TASC 5.10

    calculations by Aspen Tasc+. –

     

    Preliminary tests have shown that all the convergence failures dueto TASC 5.10 have been fixed thanks to Aspen Tasc+

  • 8/19/2019 INEOS Quantifying Monitoring Fouling Refinery Heat Exchangers

    18/18

    ConclusionsConclusions

    The possibility to link Aspen HYSYS (and TASC) with Excel, using VBAcodes, is a very powerful method, which allows us to provide user friendlyand simple tools, based on rigorous and accurate calculations

    It is then possible to develop tools that allow manufacturing people tooptimise rinsing and cleaning operations of refinery pre-heat trains

    The first application, based on the aforementioned principles, wasdeveloped for a VDU in 2006 and is still in use. Since that time, two other

    applications were developed and are used on a daily basis. The profitsalready identified are quite significant

    In terms of improvements, the next step is to replace TASC 5.10 by Aspen Tasc+, in the applications already developed

     And finally, the long term objective would be to couple the simulation ofthe heat exchanger trains with the simulation of the associated distillationtowers. It should allow us to perform a global optimisation of the crude

    distillation and vacuum distillation units. Very challenging but exciting!