2014 Software Global Client Conference
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2 John R. Cunningham NA Technical Support Oct. 2, 2014 Orlando Florida SS TSS-03 A Simulation Thermodynamics: Best Practices Part I: Assuring the optimal property packages for your simulation
3 Instructor s Background BS, MS Brigham Young University Thesis: Calculation of Parameters from Group Contributions for the PFGC Equation of State, Dr. Grant M. Wilson, thesis advisor. Exxon Production Research as a Gas Engineer Ten years measuring Physical Property and Equilibrium Data as BYU Research Faculty Member and Research Director at Wiltec Research under direction of Grant Wilson. Last 30 years with Simulation Science and AIChE DIPPR
4 Overview What are the steps prior to a project start, necessary to assure that you are using the optimal property packages and thermodynamic methods for your simulation and design. Part I Which physical properties will impact thermo method selection Adding new components When property estimates are appropriate Part II How composition plays an important part in method selection How characterization and cut selection can impact design When measured data may be absolutely necessary.
5 Parts of a simulation Individual Component Properties NO TXT From Library, Characterization, Estimates Combined Stream Properties Thermodynamic Methods Combined Stream Behavior Thermodynamic Methods Unit Operation Algorithm
6 Let s Start With Component Properties We will use PRO/II and TDM as the vehicle to talk about properties, but this applies to all products We will talk about level of accuracy We will view other tools that can assist in visualization
7 Component Properties All Pure and Mixture Property data are stored an a system Library containing multiple Databanks consisting of either unary or binary parameters The current system PRO/II Libraries default installation is in the file: C\ProgramData\SIMSCI\TDM\Edlib_PROII_9.3.lb1 Contents can be reviewed using the THERMODYNAMIC DATA MANAGER (TDM) which is called from either PRO/II or other SimSci Products We will talk about creating and filling your own user *.LB1 library files with a pure component databank today
8 Characterization Options Property Generation All the characterization methods except Heavyoil apply predominantly to paraffinic fluids having API gravities greater than 20 and Watson K factors in the 12.5 to 13.5 range. They are progressively less accurate as the API gravity drops to 10 or less, and as the Watson K factor approaches 9 or 10. The HEAVY extension of the SIMSCI method exhibits better extrapolation qualities for heavier, more naphthenic and aromatic materials typically present in heavy oils and bitumens.
9 Component Properties
10 Component Properties Classifications (valid for User added or Library): SIMPLE: Light ends, large experimental database REFPROP types LIGHT: Hydrocarbons to C10, other well known industrial chemicals HEAVY: Hydrocarbons >C10, little or sparse experimental data PSEUDO: Derived from petroleum assays, characterization methods typically known Different levels of verification are necessary for assurance of component property validity
11 Component Properties Methane, a simple component
12 Component Properties 2-methyl benzothiophene A heavy component DIPO1834 API needed better Vp data for low sulfur Diesel
13 Why Add a New Component? SimSci system libraries contain data for components, DIPPR 2100+, OLILIB 1800 and species Characterization methods provide estimated physical property data for Assays and petroleum components (hydrocarbons) But occasionally with feedstock changes or new processes it becomes necessary to develop properties for a new defined or library component, that needs to be stored in a user library for use by multiple runs/users.
14 Adding New Component Property Data
15 Adding New Components Two Approaches: Use Thermo Data Manager (TDM) to Create and fill a library which allows all SimSci Products and all corporate users to access the same information, add defined components to a pure component databank in this user library Alternatively, add a component to a single PRO/II simulation for a single use (we will ignore this option today)
16 Adding New Components: Necessary Property Data Sufficient Property Data must be provided to make the component Simulator Ready Data must be sufficient to meet the requirements of the Thermodynamic/Transport Properties selected for use within the simulation (See Table 8.1 in PRO/II Component Data Keyword Manual) Simulator input data checking must be satisfied (Based on component Phase designation)
17 Adding New Components: Necessary Property Data Sources Measured Property Data Estimated from correlations; structural groups, QSPRs or QSARs, ab initio methods Estimated from family plots
18 Property Interconnectivity
19 Adding New Components: Data Sources Readily Available Sources for Component Data Copy, then modify, a base component from system Library External Sources AIChE DIPPR Project 801: Simulator Ready Data (Now available in PRO/II 9.3) October Components in Sponsor Database Dechema/DDbst: Full/Partial Data Available NIST: TDE 103b: Full/Partial Data Available Corporate Bulletins Published Data Collections, articles and Handbooks
20 Adding New Components: Data Sources Further alternatives and property checking methodologies: You can estimate component properties using the PROPRED option of TDM PROPRED has multiple estimation methods for each property, as well as a best set Use limited data (i.e. NBP, SpGr) to improve estimated vapor pressures or densities Use Family plots to confirm estimation method selected
21 Adding a new component: Procedure Create User Library Add Pure Component User Databank Add Components to User Databank Move library into the SimSci application Current Search Order New component now available for use in a Simulation
22 TDM SimSci databanks information cannot be changed, but can be used to create user databanks that can be changed and then stored in user databanks
23 Copy Component from DIPPR or System Databank Use of measured and estimated data
24 Using Estimated Properties Using PRO/II or TDM (PROPRED) Provide vapor pressure point (NBP), and Density/Molar volume if possible For most components, very little property data will be readily available, hence the use of estimation techniques and tools like TDM s PROPRED
25 Use PROPRED to create components (these will be estimated properties) Lets add: 3-METHOXYISOPROPYLAMINE With the following Structure: It s SMILES formula: COCC(N)C SMILES is widely used as a general-purpose chemical nomenclature and data exchange format.
26 Use PROPRED to create components
27 Lets add a New Heat Transfer Fluid (from manual, unknown but probably measured) Therminol 72 from Solutia Mixture of synthetic aromatics diphenyl ether ,0 % terphenyl ,0 % biphenyl ,0 % phenanthrene ,0 % other 4.0 % MW 190 Daltons NBP 271 C Density@15 C 1084 Kg/m 3 Some aromatics with similar properties: 1-n-BUTYLNAPHTHALENE n-octylbenzene
28 T72 Fixed and T Dependent Properties
29
30 What data will we need? Depends on our Thermo Selection s input Checking! Accurate reproduction of VP and Liq. Cp or Enthalpy is important The Ideal (Raoult s Law) Method will use those important Bulletin Properties Transport properties are needed for some unit operations
31 T72 Fixed and T Dependent Properties
32 Adding a component to a User Library via TDM Can be Shared Data Security Multiple property generator methods in PROPRED. Component Structure needed for property prediction
33 Adding a component
34 First Add Fixed Properties
35 Next: Temperature Dependent Properties Note T in C, can cause singularities, use absolute T where possible Refit data if appropriate equation not available
36 Multiple Approaches for T Dependent Properties Liquid Density Added Unchanged from Bulletin:
37 Multiple Approaches for T Dependent Properties Liquid Heat Capacity Integrated to get Liquid Enthalpy:
38 Multiple Approaches for T Dependent Properties Vapor Pressure Regressed from Tabular data:
39 Multiple Approaches for T Dependent Properties Vapor Pressure Regressed from Tabular data:
40 Pressure, kpa Multiple Approaches for T Dependent Properties Vapor Pressure Regressed from Tabular data: Phase Envelope Curve for 'Therminol 72' Full Envelope Cricondentherm Bull VP Temperature, C
41 Multiple Approaches for T Dependent Properties Heat of Vaporization copied from Similar component:
42 Make the Library Available to PRO/II
43 Once your new component has been added! Additional needed properties: For a Heat Transfer Fluid like T72 which is used as a pure fluid: Any missing Transport Properties Components for use in mixtures: Interaction parameters for the appropriate Thermo Method Next Hour!
44 Conclusion User Libraries provide capabilities to model nearly all components Properties can be measured, found in literature, estimated or calculated User Libraries can be shared or protected Components can also Be added to a single run
45 2014 Schneider Electric. All Rights Reserved. All trademarks are owned by Schneider Electric Industries SAS or its affiliated companies or their respective owners. Ampla Citect OASyS DNA 46
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