Explore conventional components from the Aspen Plus database and non-conventional components estimated with models. Learn to apply these types to petrochemical and polymer contexts, including electrolytes.

Explore ideal versus nonideal modeling in Aspen Plus, using ideal gas or ideal solution when appropriate and real gas with real solution otherwise, guided by vapor-liquid plots and experimental data.

Select and compare non-ideal models for activity coefficients in a mixture using Aspen Plus; run APL and Wilson models in an ideal simulation environment and analyze the results.

Explore the effects of method selection in Aspen Plus, examining preprocessors and choosing among ideal gas, real gas, and real solution models to identify the best approach.

Explore how method selection shapes process results in Aspen Plus. Compare ideal and real solution behavior, vapor fractions, and real gas interactions using simulations and experimental data.

Retrieve pure component parameters for water, ethanol, and CO2 using Henry components; verify binary and pure parameters, review data sources from the database, and consider modifying parameters when needed.

This workshop presents binary parameters, retrieves binary component interactions from data bases, and demonstrates RTL two-parameter methods to model water–ethanol interactions.

Define your own property sets by selecting substances such as ethanol, water, and benzene, and include key properties like vapor pressure and gamma values for a tailored simulation.

Explore analysis tools for P-T and composition diagrams, identify ideal versus real solution models, and build binary and ternary diagrams and envelope plots in the Aspen Plus physical properties module.

Explore Gibbs free energy for pure components, identify phase transitions at equilibrium, and analyze temperature dependent liquid-gas behavior using ethanol as a case study.

Explore pressure-temperature envelopes for a fixed composition, graphing a component at 145 C and 9 bar, noting liquid-liquid behavior is not captured and will be shown in ternary diagrams later.

Explore t-xy diagrams for binary mixtures at fixed pressure (one atmosphere), showing bubble and dew points and liquid–vapor regions and condensation tendencies.

Use t-x-y diagrams to distinguish ideal and real behavior in binary systems, including possible two-liquid-phase regions, by running Aspen Plus simulations at one atmosphere.

Learn to read p-x-y diagrams by fixing temperature at 25 °C and varying pressure to separate liquid and vapor regions, identify bubble lines, and practice with examples.

Investigate G-xy diagrams to evaluate Gibbs free energy of mixing in binary water systems, compare ideal and real models, and identify one and two phase regions.

Explore mixture analysis of a pure substance using water and ethanol, assuming constant specific heat capacity with steam tables and property sets under constant pressure.

Explore residue curves and ternary diagrams to visualize distillation and absorption trajectories and how composition changes affect column operability. See three diagrams illustrating key points of interest in curve behavior.

Use analysis tools in Aspen Plus to plot relevant data, compare two results, and ensure the same x and y axis scales for evaluating binary, pure, and ternary mixtures.

Explore why data matters, from experimental data sources to building and validating data for regression against a model, and manage deviations while switching between two modes, including regression mode.

Retrieve and visualize NIST TDE (PURE) data for the ethanol–water system in Aspen Plus, constructing ternary diagrams and vapor–liquid curves to verify compositions at one atmosphere.

Input raw or experimental data to regress models and estimate missing parameters in the Aspen physical property system. Use complete vapor pressure versus temperature data for pure components or mixtures.

Use the regression tool to evaluate VLE data for the water-ethanol system with least squares and assess consistency, then decide to accept or reject the data based on RMSE.

Import data from databases or the internet and recognize that you can't estimate or evaluate data for model usability, with revisions planned for section 8.

Explore pure component applications in Aspen Plus by modeling single-component systems and estimating properties of copper using ideal assumptions.

Model ibuprofen’s physical properties in Aspen Plus by building its chemical structure, importing data from online databases, and running estimations for heat capacity and vapor pressure.

Study binary mixtures of two components by fitting data to the model and vice versa using Aspen Plus, importing data from a database, and keeping components and property methods minimal.

Assess chloroform-tetrahydrofuran data in Aspen Plus by comparing Wilson, Peng-Robinson, Redlich-Kwong, and SRK models to identify the least deviation across pressure and temperature.

Test Wilson, NRTL, and UNIQUAC models against experimental liquid and vapor data using regression to optimize parameters and select the best fit for a benzene–ethanol binary system.

Verify dew point and bubble point for a methane system using an equation, mapping the phase envelope across pressures and temperatures around -40 C and 50 C.

Explore graph activity coefficients in binary systems using real-property methods and RTL, compare ideal parameters and other parameter choices, and evaluate model outcomes.

Explore azeotrope search methods by using binary and ternary diagrams, verify the ternary diagram, and select all azeotropes to print results for analysis.