
Begin the model development course with Aspen Custom Modeler, guiding complete novices to build a simple, expandable model while showing code, troubleshooting, and the mindset to solve real-world problems.
Define model components and properties, including materials, fluids, pumps, columns, streams, valves, temperature, and pressure; model a gravity drain tank, compute enthalpies and densities, and export to Aspen.
Use process modeling to reduce repetitive work, simulate energy balances with varying properties and inputs, lower calculation errors, enable complex simulations, and evaluate control strategies while cutting costs.
Choose a clean, self-discoverable modeling interface with intuitive menus and dynamic calculations, plus extensive documentation; many simulators run steady-state models only, while Aspen Custom Modeler can interface with almost anything.
Survey key process simulation software options, including Aspen one, Aspen Plus, Hysis, Aspen dynamics, Pro Tools from Ariba, MCAT Pro one, and Matlab, emphasizing steady-state simulations.
Compare process simulation tools by cost and capability, noting steady-state needs may suit cheaper software while dynamic simulations require advanced features; Aspen Plus, Aspen ISIS, and Prosim illustrate options.
Compare Aspen Custom Modeler with Aspen Plus, Hysis, and other simulators, highlighting rigorous process modeling, optimization, and applications across refinery, petrochemicals, and polymers.
Explore the model development flowchart for Aspen Custom Modeling, detailing how to analyze process behavior, set simulation scope, code and run the model, and verify results against benchmarks.
Ensure Aspen 11 runs on Windows 7, 8, or 10 with a 64-bit processor at 1.6 GHz or faster, 4 GB RAM, 5 GB disk space, and OpenGL 3.0+.
Define a naming scheme to avoid clashes with Aspen Custom Modeler internal variables. Use a port prefix to distinguish ports and explain the approach as we go.
Define the problem and objectives before modeling, assess whether a suitable model exists, and identify required inputs and a block diagram to guide gravity drain tank modeling.
Create a gravity drain tank model that defines its requirements, interfaces with library equipment like valves and pumps, and analyzes pressure, vapor pressure, flash, and fluid properties.
Explore setting up a new model by defining components, water properties, entry temperature and pressure, building volume and pressure dynamics, using the SEM properties model, and validating under pressure.
Verify, validate and test the model by qualitatively and quantitatively estimating its expected behavior. Simulate how inlet and outlet flow rates affect the tank level, and analyze deviations before re-evaluating.
Add a built-in submodel property for water, link its variables to your custom model, and plot temperature and pressure changes inside the tank.
Verify and test the pressure-driven model after each modification, validating correctness with estimates and simulations. Identify inconsistencies, explain causes, and repeat the cycle until calculations and simulations align.
Aspen custom modeling solves differential equations with property databases and submodels to enable integrated plant simulations and future trends include CFD integration, real-time data analytics, and fault-tolerant control.
Navigate Aspen Custom Modeler’s three panels: the simulation flow, simulation explorer, and messages window, and learn to save a file and add a new model from custom modeling models.
Declare fluid and equipment variables for a simulation using the model window or model assistant, set initial values and bounds, and define vessel dimensions and equations.
Define three fluid variables and two fixed dimensions, determine free variables by mass balance and Torricelli’s law, and link level to flow rate through a derivative for ACM modeling.
Add the model to the flowsheet and simulate steady-state, resolving overspecification by adjusting degrees of freedom with the specification analysis window. When legal, the red triangle becomes green.
Switch to dynamic mode, specify initial conditions for the level derivative, and set the level variable as rate initial to restore green status, then run the dynamic simulation.
Reinitialize the model at lower values after discovering the initial conditions were too large, and validate that the dynamic simulation results align with predictions as the added components function correctly.
Relate equipment dimensions to mass balance and slope variables by lumping constants into a coefficient k, define its bounds, and run simulation to observe k and raw changes with flow.
Learn to retrieve densities from a fluid package in Aspen Custom Modeling by defining component mass fractions and using a property package with temperature, pressure, and mole fractions.
Organize fluid properties for the drain tank, define three streams (feed, vapor, liquid) and x, y, z mole fractions using the model assistant, then copy and overwrite definitions.
Define water and ethanol as components, create a property file with the rtl model, fix inlet/outlet flows and vessel dimensions, and verify density changes with temperature in dynamic simulations.
Define a global timescale to synchronize model and simulation times, and configure inlet and outlet mole fraction ports with linked parameters so streams drive the model during simulation.
Export the model from Aspen Custom Modeling to Aspen Dynamics, run and troubleshoot, then connect valves and material streams to study the effect of pressure on tank level.
Create complex custom models that you can seamlessly integrate with pre-built flowsheets. This course will provide a guided tour of all the steps required for you to create your own models by showing an example model.
A simple gravity drain tank example shall be used for understanding how to create a custom model. The example will start simple and become complex step-by-step allowing you to understand the methodology and nuances of creating custom models. Initially, Torricelli's equation is implemented and calculated to show how the software handles equations. Next, physical properties are included into the model. Then, Aspen properties database is linked to provides properties at any temperature and pressure. Later, the model is made pressure dependent and pressure-related equations are implemented. The stage-wise addition of complexity to the model provides a clear picture of the functioning of the model and also eases the troubleshooting of bugs and errors within the model. Stage-wise validation and testing also becomes possible.
Once the model features have been added to the required accuracy, and verified/validated, the model is exported to aspen dynamics for use with other pre-built models. Now valves pumps and other units operation may also be used in conjunction with our custom model.
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