MM "39.0" FLAVOR "NO" VERSION "39.0" DATETIME "Thu Sep 21 11:54:33 2023"
MACHINE "WIN-NT/VC" ;
startlibrary
version1
NumLibs = 4
Built-In
ACM Built-In
ACM Models
Hybrid Models
NumCats = 12
Mixers/Splitters
active
Separators
active
Exchangers
active
Columns
active
Reactors
active
Pressure Changers
active
Manipulators
active
Solids
active
Solids Separators
active
Controllers
active
Batch Models
active
User Models
active
endlibrary
;
4
>VERSION 0
HE-1
Heater
Built-In
HEATER
>VERSION 0
HE-2
Heater
Built-In
HEATER
>VERSION 0
HE-3
Heater
Built-In
HEATER
>VERSION 0
HE-4
Heater
Built-In
HEATER
? SETUP MAIN ? \ "RUN-CLASS" RUN-CLASS = FLOWSHEET \ \ SIMULATE INTERACTIVE
= NO MOLEFLOW = MOLEFLOW VISITED = 1 PSVUNITS = "SI" \ ? SETUP GLOBAL ? \
"IN-UNITS" INSET = "US-1" \ ? SETUP DIAGNOSTICS ? ? SETUP "SIM-OPTIONS" ? ;
"US-1_MOLE" ; \ "SIM-OPTIONS" TEMPLATE = "US_IP" SCENARIO = "Scenario1" \ ?
SETUP "MODEL-OPTION" ? ; "US-1_MOLE" ; ? SETUP "CUSTOM-UOM" ? ? SETUP
"UNITS-SET" METCBAR ? \ DESCRIPTION DESCRIPTION = "User-defined units set"
\ \ MMLOCAL \ \ UNITSET BASESET = MET ( 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
5 3 4 3 3 3 3 3 3 3 3 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 3 3 3 3 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3 7 3 3 3 3 3 3 3 3 3 3 ) \ ? SETUP "UNITS-SET" "US-1" ? \ DESCRIPTION
DESCRIPTION = "User-defined units set" \ \ MMLOCAL \ \ UNITSET BASESET = MET
( 3 3 3 3 3 1 3 3 3 3 3 3 14 3 3 7 3 3 3 5 3 4 3 3 3 3 3 3 3 11 4 3 3 3 3 3 3
3 10 1 3 3 3 3 3 3 3 3 1 8 3 3 9 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5
3 3 3 3 3 3 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 7 3 3 3 3 3 3 3 3 3 3 ) \ ?
SETUP "SYS-OPTIONS" ? ? SETUP "ACCOUNT-INFO" ? ? SETUP "RUN-CONTROL" ? ?
SETUP DESCRIPTION ? ? "DATA-SERVICE" ? ? DATABANKS ? \ DATABANKS \ ?
COMPONENTS MAIN ? \ COMPONENTS CID = WATER ANAME = H2O OUTNAME = WATER
DBNAME1 = "WATER" ANAME1 = "H2O" \ ? COMPONENTS "ADA/PCS" "LE-PROP-DATA" ? ;
"US-1_MOLE" ; ? COMPONENTS "COMP-LIST" GLOBAL ? ? COMPONENTS "UNIFAC-GROUP" ?
? SOLVE ? \ "RUN-MODE" MODE = SIM \ ? "DYN-OPTIONS" ? ? FLOWSHEET GLOBAL ?
\ BLOCK BLKID = "HE-1" BLKTYPE = "HEATER" MDLTYPE = "Heater" IN = ( "H1-IN"
M0-1 ) OUT = ( "H1-OUT" M0-1 ) \ \ BLOCK BLKID = "HE-2" BLKTYPE = "HEATER"
MDLTYPE = "Heater" IN = ( "H2-IN" M0-1 ) OUT = ( "H2-OUT" M0-1 ) \ \ BLOCK
BLKID = "HE-3" BLKTYPE = "HEATER" MDLTYPE = "Heater" IN = ( "C1-IN" M0-1 )
OUT = ( "C1-OUT" M0-1 ) \ \ BLOCK BLKID = "HE-4" BLKTYPE = "HEATER" MDLTYPE
= "Heater" IN = ( "C2-IN" M0-1 ) OUT = ( "C2-OUT" M0-1 ) \ ? PROPERTIES MAIN
? \ GPROPERTIES GBASEOPSET = UNIQUAC GOPSETNAME = UNIQUAC GFREE-WATER =
STEAMNBS PARCON = -2 \ ? PROPERTIES "OPTION-SETS" STEAMNBS ? \ PARAM BASE =
STEAMNBS \ ? PROPERTIES "OPTION-SETS" UNIQUAC ? \ PARAM BASE = UNIQUAC \ ?
PROPERTIES "NC-PROPS" ? ? PROPERTIES "USER-PROPS" ? \ ALLOWSYSTEM SYSALLOWED
= NO \ ? PROPERTIES "MOLEC-STRUCT" WATER ? ? PROPERTIES PARAMETERS BINARY
SCALAR "MLQKIJ-1" ? ; "ENG_MOLE" ; \ PROP-LIST PARAMNAME = MLQKIJ SETNO = 1
UNITROW = 0 \ ? PROPERTIES PARAMETERS BINARY SCALAR "RKTKIJ-1" ? ; "ENG_MOLE"
; \ PROP-LIST PARAMNAME = RKTKIJ SETNO = 1 UNITROW = 0 \ ? PROPERTIES
PARAMETERS BINARY "T-DEPENDENT" "ANDKIJ-1" ? ; "ENG_MOLE" ; \ PROP-LIST
PARAMNAME = ANDKIJ SETNO = 1 UNITROW = 0 TUNITROW = 22 TUNITLABEL = F NEL = 2
\ ? PROPERTIES PARAMETERS BINARY "T-DEPENDENT" "ANDMIJ-1" ? ; "ENG_MOLE" ;
\ PROP-LIST PARAMNAME = ANDMIJ SETNO = 1 UNITROW = 0 TUNITROW = 22 TUNITLABEL
= F NEL = 2 \ ? PROPERTIES PARAMETERS BINARY "T-DEPENDENT" "HENRY-1" ? ;
"METCBAR_MOLE" ; \ PROP-LIST PARAMNAME = HENRY SETNO = 1 UNITROW = 20
UNITLABEL = bar TUNITROW = 22 TUNITLABEL = C BDBANK = ( "APV121 BINARY"
"APV121 HENRY-AP" ) NEL = 7 \ ? PROPERTIES PARAMETERS BINARY "T-DEPENDENT"
"MUKIJ-1" ? ; "ENG_MOLE" ; \ PROP-LIST PARAMNAME = MUKIJ SETNO = 1 UNITROW = 0
TUNITROW = 22 TUNITLABEL = F NEL = 6 \ ? PROPERTIES PARAMETERS BINARY
"T-DEPENDENT" "MULIJ-1" ? ; "ENG_MOLE" ; \ PROP-LIST PARAMNAME = MULIJ SETNO
= 1 UNITROW = 0 TUNITROW = 22 TUNITLABEL = F NEL = 11 \ ? PROPERTIES
PARAMETERS BINARY "T-DEPENDENT" "UNIQ-1" ? ; "METCBAR_MOLE" ; \ PROP-LIST
PARAMNAME = UNIQ SETNO = 1 UNITROW = 0 TUNITROW = 22 TUNITLABEL = C BDBANK =
( "APV121 VLE-IG" "APV121 LLE-LIT" "APV121 LLE-ASPEN" "APV121 VLE-LIT" ) NEL
= 12 \ ? PROPERTIES "ATTR-COMPS" ? ? POLYMERS ? ? "STREAM-CLASS" SUBSTREAMS
? \ DEF-SUBS-CLA SUBSTREAMS = MIXED \ \ DEF-SUBS-CLA SUBSTREAMS = CISOLID \
\ DEF-SUBS-CLA SUBSTREAMS = NC \ \ DEF-SUBS-CLA SUBSTREAMS = NCPSD \ \
DEF-SUBS-CLA SUBSTREAMS = CIPSD \ ? "STREAM-CLASS" "STREAM-CLASS" ? \
DEFINITION SCLASS = CONVEN \ \ DEFINITION SCLASS = MIXNC \ \ DEFINITION
SCLASS = MIXCISLD \ \ DEFINITION SCLASS = MIXNCPSD \ \ DEFINITION SCLASS =
MIXCIPSD \ \ DEFINITION SCLASS = MIXCINC \ \ DEFINITION SCLASS = MCINCPSD \
\ HEAT-DEFINE H-SCLASS = HEAT STREAM-ATTR = HEAT \ \ HEAT-DEFINE H-SCLASS =
LOAD STREAM-ATTR = LOAD \ ? "STREAM-CLASS" "DEF-STREAMS" ? ? "STREAM-NAMES" ?
? "STREAM-GROUP" All ? \ DESCRIPTION DESCRIPTION = "All streams" \ ?
"STREAM-GROUP" Boundary ? \ DESCRIPTION DESCRIPTION = "Boundary streams" \ ?
"STREAM-GROUP" Charge ? \ DESCRIPTION DESCRIPTION = "Charge streams" \ ?
"STREAM-GROUP" Feeds ? \ DESCRIPTION DESCRIPTION = "Feed streams" \ ?
"STREAM-GROUP" Initial ? \ DESCRIPTION DESCRIPTION =
"Streams with user-specified values entered" \ ? "STREAM-GROUP" Products ?
\ DESCRIPTION DESCRIPTION = "Product streams" \ ? "STREAM-GROUP" Tears ? \
DESCRIPTION DESCRIPTION =
"Tear streams manipulated by the convergence algorithms" \ ? STREAM MATERIAL
"C1-IN" ? ; "US-1_MOLE" ; \ SUBSTREAM SSID = MIXED TEMP = 30. <22> <4> PRES
= 20. <20> <5> TOTAL = 1305.19252 <-89> <0> JUNK = 1 \ \ MOLE-FLOW SSID1 =
MIXED CID = WATER FLOW = 1305.19252 <-89> <3> \ ? STREAM MATERIAL "C2-IN" ? ;
"US-1_MOLE" ; \ SUBSTREAM SSID = MIXED TEMP = 110. <22> <4> PRES = 20. <20>
<5> TOTAL = 2010.81126 <-89> <0> JUNK = 1 \ \ MOLE-FLOW SSID1 = MIXED CID =
WATER FLOW = 2010.81126 <-89> <3> \ ? STREAM MATERIAL "H1-IN" ? ; "US-1_MOLE"
; \ SUBSTREAM SSID = MIXED TEMP = 200. <22> <4> PRES = 20. <20> <5> TOTAL =
1577.66651 <-89> <0> JUNK = 1 \ \ MOLE-FLOW SSID1 = MIXED CID = WATER FLOW =
1577.66651 <-89> <3> \ ? STREAM MATERIAL "H2-IN" ? ; "US-1_MOLE" ; \
SUBSTREAM SSID = MIXED TEMP = 180. <22> <4> PRES = 20. <20> <5> TOTAL =
834.336626 <-89> <0> JUNK = 1 \ \ MOLE-FLOW SSID1 = MIXED CID = WATER FLOW =
834.336626 <-89> <3> \ ? "EO-VARS" ? \ "SS-FLOWEMBED" SSXML = (
"AllFull"
"falsetruefalse<"
"srcSettings$StreamIds=""C1-IN,C1-OUT,C2-IN,C2-OUT,H1-IN,H1-OUT,H2-IN,H2"
"-OUT""$TemplateName=""Full""><TFFTable><GeneralOptions>Des"
"cription,SourceAndDestination,StreamClass,MaximumErrorTolerance,CostFl"
"ow,PhaseLabel,ComponentAttributes,ParticleSizeDistributions,Temperatur"
"e,Pressure,MolarVaporFraction,MolarLiquidFraction,MolarSolidFraction,M"
"olarEnthalpy,MolarEntropy,MolarDensity,MassVaporFraction,MassLiquidFra"
"ction,MassSolidFraction,MassEnthalpy,MassEntropy,MassDensity,EnthalpyF"
"low,AverageMolecularWeight,BatchProperties</GeneralOptions><S"
"copeOptions>PhasesForMixedSubstream,TotalStream,Substreams,MoleFlow"
"s,MassFlows,MoleFractions,MassFractions,VolumeFlows</ScopeOptions&g"
"t;<Properties><Property$Type=""StateConditionProperty""$EngineN"
"ame=""TEMP""$/><Property$Type=""StateConditionProperty""$EngineName="
"""PRES""$/><Property$Type=""StateConditionProperty""$EngineName=""VFR"
"AC""$/><Property$Type=""StateConditionProperty""$EngineName=""LFRAC"""
"$/><Property$Type=""StateConditionProperty""$EngineName=""SFRAC""$/&"
"gt;<Property$Type=""StateConditionProperty""$EngineName=""MASSVFRA""$/&"
"gt;<Property$Type=""StateConditionProperty""$EngineName=""MASSLFRA""$/&"
"gt;<Property$Type=""StateConditionProperty""$EngineName=""MASSSFRA""$/&"
"gt;<Property$Type=""StateConditionProperty""$EngineName=""HMX""$/>&l"
"t;Property$Type=""StateConditionProperty""$EngineName=""MASSHMX""$/><"
";Property$Type=""StateConditionProperty""$EngineName=""SMX""$/><Prop"
"erty$Type=""StateConditionProperty""$EngineName=""MASSSMX""$/><Prope"
"rty$Type=""StateConditionProperty""$EngineName=""RHOMX""$/><Property"
"$Type=""StateConditionProperty""$EngineName=""MASSRHOM""$/><Property"
"$Type=""StateConditionProperty""$EngineName=""HFLMX""$/><Property$Ty"
"pe=""StateConditionProperty""$EngineName=""MWMX""$/><Property$Type="""
"StateConditionProperty""$EngineName=""MOLEFLOW""$/><Property$Type="""
"StateConditionProperty""$EngineName=""MOLEFRAC""$/><Property$Type="""
"StateConditionProperty""$EngineName=""MASSFLOW""$/><Property$Type="""
"StateConditionProperty""$EngineName=""MASSFRAC""$/><Property$Type="""
"StateConditionProperty""$EngineName=""VOLFLMX""$/><Property$Type=""B"
"atchProperty""$EngineName=""cmole_cycle""$/><Property$Type=""BatchPr"
"operty""$EngineName=""cmole_time""$/><Property$Type=""BatchProperty"""
"$EngineName=""cmass_cycle""$/><Property$Type=""BatchProperty""$Engin"
"eName=""cmass_time""$/><Property$Type=""BatchProperty""$EngineName="""
"vol_cycle""$/><Property$Type=""BatchProperty""$EngineName=""vol_time"
"""$/><Property$Type=""BatchProperty""$EngineName=""enth_cycle""$/>"
"<Property$Type=""BatchProperty""$EngineName=""enth_time""$/><Prop"
"erty$Type=""BatchProperty""$EngineName=""cycle_time""$/><Property$Ty"
"pe=""BatchProperty""$EngineName=""oper_time""$/><Property$Type=""Batc"
"hProperty""$EngineName=""ntrain""$/></Properties></TFFTable&g"
"t;</srcSettings>" ) \ ? BLOCK HEATER
"HE-1" ? ; "US-1_MOLE" ; ; HEATER ; \ PARAM PRES = 0. <20> <5> DUTY =
-4400.000000 <13> <14> SPEC-OPT = PD \ \ "SS-FLOWEMBED" SSXML = (
"BoundaryFullfalsetruefalse<srcSettings$StreamIds=""H1-IN,H1-OUT""$TemplateName=""Full""><T"
"FFTable><GeneralOptions>Description,SourceAndDestination,Stre"
"amClass,MaximumErrorTolerance,CostFlow,PhaseLabel,ComponentAttributes,"
"ParticleSizeDistributions,Temperature,Pressure,MolarVaporFraction,Mola"
"rLiquidFraction,MolarSolidFraction,MolarEnthalpy,MolarEntropy,MolarDen"
"sity,MassVaporFraction,MassLiquidFraction,MassSolidFraction,MassEnthal"
"py,MassEntropy,MassDensity,EnthalpyFlow,AverageMolecularWeight,BatchPr"
"operties</GeneralOptions><ScopeOptions>PhasesForMixedSubst"
"ream,TotalStream,Substreams,MoleFlows,MassFlows,MoleFractions,MassFrac"
"tions,VolumeFlows</ScopeOptions><Properties><Property$T"
"ype=""StateConditionProperty""$EngineName=""TEMP""$/><Property$Type="
"""StateConditionProperty""$EngineName=""PRES""$/><Property$Type=""Sta"
"teConditionProperty""$EngineName=""VFRAC""$/><Property$Type=""StateC"
"onditionProperty""$EngineName=""LFRAC""$/><Property$Type=""StateCond"
"itionProperty""$EngineName=""SFRAC""$/><Property$Type=""StateConditi"
"onProperty""$EngineName=""MASSVFRA""$/><Property$Type=""StateConditi"
"onProperty""$EngineName=""MASSLFRA""$/><Property$Type=""StateConditi"
"onProperty""$EngineName=""MASSSFRA""$/><Property$Type=""StateConditi"
"onProperty""$EngineName=""HMX""$/><Property$Type=""StateConditionPro"
"perty""$EngineName=""MASSHMX""$/><Property$Type=""StateConditionProp"
"erty""$EngineName=""SMX""$/><Property$Type=""StateConditionProperty"""
"$EngineName=""MASSSMX""$/><Property$Type=""StateConditionProperty""$"
"EngineName=""RHOMX""$/><Property$Type=""StateConditionProperty""$Eng"
"ineName=""MASSRHOM""$/><Property$Type=""StateConditionProperty""$Eng"
"ineName=""HFLMX""$/><Property$Type=""StateConditionProperty""$Engine"
"Name=""MWMX""$/><Property$Type=""StateConditionProperty""$EngineName"
"=""MOLEFLOW""$/><Property$Type=""StateConditionProperty""$EngineName"
"=""MOLEFRAC""$/><Property$Type=""StateConditionProperty""$EngineName"
"=""MASSFLOW""$/><Property$Type=""StateConditionProperty""$EngineName"
"=""MASSFRAC""$/><Property$Type=""StateConditionProperty""$EngineName"
"=""VOLFLMX""$/><Property$Type=""BatchProperty""$EngineName=""cmole_cy"
"cle""$/><Property$Type=""BatchProperty""$EngineName=""cmole_time""$/&"
"gt;<Property$Type=""BatchProperty""$EngineName=""cmass_cycle""$/><"
";Property$Type=""BatchProperty""$EngineName=""cmass_time""$/><Proper"
"ty$Type=""BatchProperty""$EngineName=""vol_cycle""$/><Property$Type="
"""BatchProperty""$EngineName=""vol_time""$/><Property$Type=""BatchPro"
"perty""$EngineName=""enth_cycle""$/><Property$Type=""BatchProperty""$"
"EngineName=""enth_time""$/><Property$Type=""BatchProperty""$EngineNa"
"me=""cycle_time""$/><Property$Type=""BatchProperty""$EngineName=""ope"
"r_time""$/><Property$Type=""BatchProperty""$EngineName=""ntrain""$/&g"
"t;</Properties></TFFTable></srcSettings>" ) \ ? BLOCK HEATER "HE-2" ? ; "US-1_MOLE" ; ; HEATER
; \ PARAM PRES = 0. <20> <5> DUTY = -2400.000000 <13> <14> SPEC-OPT = PD \ ?
BLOCK HEATER "HE-3" ? ; "US-1_MOLE" ; ; HEATER ; \ PARAM PRES = 0. <20> <5>
DUTY = 4050.000000 <13> <14> SPEC-OPT = PD \ ? BLOCK HEATER "HE-4" ? ;
"US-1_MOLE" ; ; HEATER ; \ PARAM PRES = 0. <20> <5> DUTY = 3000.000000 <13>
<14> SPEC-OPT = PD \ ? CURRENCY ? ? "STREAM-PRICE" ? ; "US-1_MOLE" ; ?
UTILITY CW ? ; "US-1_MOLE" ; \ DESCRIPTION DESCRIPTION =
"Cooling Water, Inlet Temp=20 C, Outlet Temp=25 C" \ \ COST OPT-UTI-COST =
"ENERG-PRICE" ENERGY-PRICE = 2.12000000E-7 <30> <11> \ \ PARAM UTILITY-TYPE
= WATER PRES = 1.013250000 <20> <5> PRES-OUT = 1.013250000 <20> <5> TIN =
20. <22> <4> TOUT = 25. <22> <4> CALOPT = FLASH MIN-TAPP = 5. <31> <4> HTC =
3.750000000 <16> <7> VISCOSITY = 1.000000000 <26> <3> CONDUCTIVITY =
.5184866724 <23> <3> DENSITY = .9980000000 <3> <3> OPT-UTL-REQD = NO \ ?
UTILITY HP ? ; "US-1_MOLE" ; \ DESCRIPTION DESCRIPTION =
"High Pressure Steam, Inlet Temp=250 C, Outlet Temp=249 C, Pres=572 psia" \
\ COST OPT-UTI-COST = "ENERG-PRICE" ENERGY-PRICE = 2.50000000E-6 <30> <11>
\ \ PARAM UTILITY-TYPE = STEAM TIN = 250. <22> <4> TOUT = 249. <22> <4> VFRAC
= 1. <0> <0> VFRAC-OUT = 0. <0> <0> CALOPT = FLASH MIN-TAPP = 10. <31> <4>
CALCCO2 = YES FACTORSOURCE = "US-EPA-Rule-E9-5711" FUELSOURCE = "Natural_gas"
CO2FACTOR = 2.34000000E-7 <129> <3> EFFICIENCY = 0.85 <0> <0> HTC =
6.000000000 <16> <7> VISCOSITY = .0182000000 <26> <3> CONDUCTIVITY =
.0326741186 <23> <3> DENSITY = .4210000000 <3> <3> OPT-UTL-REQD = NO \ ?
UTILITY LP ? ; "US-1_MOLE" ; \ DESCRIPTION DESCRIPTION =
"Low Pressure Steam, Inlet Temp=125 C, Outlet Temp=124 C" \ \ COST
OPT-UTI-COST = "ENERG-PRICE" ENERGY-PRICE = 1.90000000E-6 <30> <11> \ \ PARAM
UTILITY-TYPE = STEAM TIN = 125. <22> <4> TOUT = 124. <22> <4> VFRAC = 1. <0>
<0> VFRAC-OUT = 0. <0> <0> CALOPT = FLASH MIN-TAPP = 10. <31> <4> CALCCO2 =
YES FACTORSOURCE = "US-EPA-Rule-E9-5711" FUELSOURCE = "Natural_gas" CO2FACTOR
= 2.34000000E-7 <129> <3> EFFICIENCY = 0.85 <0> <0> HTC = 6.000000000 <16>
<7> VISCOSITY = .0132000000 <26> <3> CONDUCTIVITY = .0232158211 <23> <3>
DENSITY = .5580000000 <3> <3> OPT-UTL-REQD = NO \ ? UTILITY MP ? ; "US-1_MOLE"
; \ DESCRIPTION DESCRIPTION =
"Medium Pressure Steam, Inlet Temp=175 C, Outlet Temp=174 C, Pres=127 psia"
\ \ COST OPT-UTI-COST = "ENERG-PRICE" ENERGY-PRICE = 2.20000000E-6 <30> <11>
\ \ PARAM UTILITY-TYPE = STEAM TIN = 175. <22> <4> TOUT = 174. <22> <4> VFRAC
= 1. <0> <0> VFRAC-OUT = 0. <0> <0> CALOPT = FLASH MIN-TAPP = 10. <31> <4>
CALCCO2 = YES FACTORSOURCE = "US-EPA-Rule-E9-5711" FUELSOURCE = "Natural_gas"
CO2FACTOR = 2.34000000E-7 <129> <3> EFFICIENCY = 0.85 <0> <0> HTC =
6.000000000 <16> <7> VISCOSITY = .0152000000 <26> <3> CONDUCTIVITY =
.0266552020 <23> <3> DENSITY = .4930000000 <3> <3> OPT-UTL-REQD = NO \ ?
"DESIGN-SPEC" "DS-1" ? ; "US-1_MOLE" ; \ DEFINE FVN = TOUT FVN-VARTYPE =
"STREAM-VAR" FVN-STREAM = "C2-OUT" FVN-SUBS = MIXED FVN-VARIABLE = TEMP
FVN-UOM = C OPT-CATEG = STREAM \ \ SPEC EXPR1 = "TOUT" EXPR2 = "170" \ \
"TOL-SPEC" TOL = "1E-4" \ \ VARY VARY-VARTYPE = "MOLE-FLOW" VARYSTREAM =
"C2-IN" VARYSUBS = MIXED VARYCOMPONEN = WATER VARYUOM = "kmol/hr" \ \ LIMITS
LOWER = "500" UPPER = "10000" \ ? "EO-CONV-OPTI" ? \ DMO-PARAMS MODE =
DEFAULT \ \ DMO-PARAMS MODE = SIMULATION \ \ DMO-PARAMS MODE =
"PARAMETER-ESTIMATION" \ \ DMO-PARAMS MODE = RECONCILIATION \ \ DMO-PARAMS
MODE = OPTIMIZATION \ \ LSSQP-PARAMS MODE-L = DEFAULT \ \ LSSQP-PARAMS MODE-L
= SIMULATION \ \ LSSQP-PARAMS MODE-L = "PARAMETER-ESTIMATION" \ \
LSSQP-PARAMS MODE-L = RECONCILIATION \ \ LSSQP-PARAMS MODE-L = OPTIMIZATION
\ \ NSOLVE-PARAM NSOLVE-MODE = DEFAULT \ \ NSOLVE-PARAM NSOLVE-MODE =
SIMULATION \ \ NSOLVE-PARAM NSOLVE-MODE = "PARAMETER-ESTIMATION" \ \
XSLP-PARAMS XSLP-MODE = DEFAULT \ \ XSLP-PARAMS XSLP-MODE = SIMULATION \ \
XSLP-PARAMS XSLP-MODE = "PARAMETER-ESTIMATION" \ \ XSLP-PARAMS XSLP-MODE =
RECONCILIATION \ \ XSLP-PARAMS XSLP-MODE = OPTIMIZATION \ ? REPORT REPORT ? ?
REPORT "BLOCK-REPORT" ? ? REPORT "STREAM-REPOR" ? \ OPTIONS MOLEFLOW =
MOLEFLOW \ ? REPORT "FLOWSHEET-RE" ? ? REPORT "PROPERTY-REP" ? ? REPORT
"BATCH-OPERAT" ? ; "US-1_MOLE" ; ? "STREAM-LIB" ? ; "US-1_MOLE" ; ? DISABLE ?
\ DESIGN-SPEC LIST = ( "DS-1" ) \
GRAPHICS_BACKUP
PFS V 5.00
$CONFIG
paramdata APV121 ENRTL-RK
paramdata APV121 VLE-IG
paramdata APV121 VLE-RK
paramdata APV121 VLE-HOC
paramdata APV121 LLE-LIT
paramdata APV121 LLE-ASPEN
paramdata APV121 VLE-LIT
paramdata APV121 BINARY
paramdata APV121 EOS-LIT
paramdata APV121 HENRY-AP
paramdata APV121 SRK-ASPEN
paramdata APV121 PC-SAFT
paramdata APV121 POLYPCSF
paramdata APV121 HYSYS
paramdata APESV121 AP-EOS
paramdata NISTV121 NIST-HOC
paramdata NISTV121 NIST-IG
paramdata NISTV121 NIST-RK
paramdata NISTV121 NIST-EOS
purebank APV121 PURE37
purebank APV121 AQUEOUS
purebank APV121 SOLIDS
purebank APV121 INORGANIC
purebank APESV121 AP-EOS
purebank NISTV121 NIST-TRC
regdbank 1
ftn_check 1
autoblockid 0
autostreamid 0
showblockid 1
showstreamid 1
autoplacement 1
grid 2
gridresolution 0.100000
scale 0
streamprefix S
blockprefix B
labelscale 1.000000
3DOn 0
qwformat %.0f
tempformat %.0f
presformat %.0f
flowformat %.0f
strmqwformat %.0f
vflowformat %.0f
mflowformat %.0f
vfracformat %.2f
pseudobatch 0
partial 1
animation 1
runanyway 0
globalqw 0
globaltemp 0
globalpres 0
globalflow 0
globalstrmqw 0
globalvflow 0
globalmflow 0
globalvfrac 0
globalshowcalcerror 1
globalshowcalcwarning 1
globalshowdisabled 1
tooldrawvisible 0
browserheight 7530
browserwidth 10725
browsertreewidth 2450
polyplusenabled 1
dynaplusenabled 1
bfracenabled 1
rtfenabled 1
rspenabled 1
initializeicarus 17
pinchenabled 0
linklimit 5000
material_color 0
material_style 0
material_width 1
material_termid
heat_color 0
heat_style 2
heat_width 1
heat_termid Q
work_color 0
work_style 1
work_width 1
work_termid W
connections_color 9
connections_style 3
connections_width 1
connections_termid C
measurements_color 4
measurements_style 3
measurements_width 1
measurements_termid M
displayeoconn 0
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displaymeas 0
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displaymeascons 0
displayothercons 0
displayeomeas 1
displayeomeastype 2
displayothermanipconn 0
showeoviews 0
eoautosave 1
allow_system_userprops 0
copy_estimation 1
copy_retrieved 1
purge_incomp_params 0
set_default_biparams 0
set_default_dataset1 0
set_default_dataset0 1
bestinput 0
autosmrun 0
genallpropset 0
strmresformdefault 0
roottype 0
exchangerfile 1
streamformat 1
runsettingfile 1
usermodelfile 1
fortranfile 0
timeout 1000
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