Introduction to Aspen Hybrid Models for Engineering

  • Review advantages of using Aspen Hybrid Models and when they should be used
  • Understand and determine different types of Aspen Hybrid models and which one to use
  • Become proficient in using Aspen Hybrid Models

Audience:

  • Process Engineers who are interested in using Machine learning/AI to build complex models* today that are accurate and run quickly
  • Engineers and Managers involved in digitalization strategies for their companies
  • Anyone interested in Aspen Hybrid Models

*Complex models – Simulations models for equipment that cannot be modeled today through first principles, Building digital twins for online deployment
 

Training Details

  • Course Id:

    EHM101

  • Duration:

    1 day(s)

  • CEUs Awarded:

    0.7

  • Level:

    Introductory

Benefits

  • Gain the practical skills and knowledge to begin using Aspen Hybrid Models
  • Learn differences between various workflows and information needed to create Aspen Hybrid models
  • Review and work through examples of different types of Aspen Hybrid Models to get hands-on experience

Approach

  • Instruction on introductory topics
  • Discussion about the general workflow and the key elements for building Aspen Hybrid Models
  • Instructor-guided demonstrations of features
  • Detailed course notes
  • Workshops and Answer keys

Pre-requisites

  • EAP101 Introduction to Process Modeling using Aspen Plus OR
  • EHY101 Introduction to Process Modeling using Aspen HYSYS

Pre-Class Tutorial:
To prepare for this course we strongly recommend that you complete the eLearning module ‘Aspen Hybrid Models: Learn the Basics’ (ATEL-541-EN) prior to the class.

Starting with aspenONE V12, our self-paced eLearning content can be accessed directly from within Aspen Plus or Aspen HYSYS. For detailed instructions on how to do this, check out the article: How to access eLearning directly from the application.

Not using the latest version of aspenONE? Sign up for our free adoption program that is designed to help you deploy aspenONE V12.1 faster! You will receive exclusive guidance from AspenTech experts to help you discover how aspenONE V12.1 solutions can drive even higher levels of profitability and sustainability.

Agenda

Introduction to Aspen Hybrid Models
  • Understand what Aspen Hybrid Models are
  • Review different types of modeling approaches and their advantages and disadvantages
  • Recognize the importance of using hybrid modeling and how it can help solve complex problems
Different Workflows for Aspen Hybrid Models
  • Review the different types of workflows in Aspen Hybrid Models
  • Explore differences between different workflows
  • Understand how to decide when to use which workflow
Creating Aspen Hybrid Models
  • Review overall approach to building Aspen Hybrid Models
  • Identify tools needed to create Aspen Hybrid Models
  • Discuss how to login to Aspen AI Model Builder
  • Understand how to deploy Aspen Hybrid Models in Aspen Plus/Aspen HYSYS
  • Demonstration: Create a simple column model using the Reduced Order Sensor Workflow to illustrate the overall approach in building and deploying Aspen Hybrid Models
Workflow for AI Driven Hybrid Models for Engineering
  • Review data format required for using the AI Driven workflow
  • Discuss different options available for data cleaning
  • Analyze results for the model built using parity and coefficient plots as well as accuracy and predictability values
  • Workshop: Create an AI Driven Hybrid model for a membrane using plant data for deployment in Aspen Plus or Aspen HYSYS
Introduction to Aspen Multi-Case
  • Review what is Aspen Multi-Case
  • Discuss the advantages of using Aspen Multi-Case for building Reduced Order Models
  • Demonstrate steps involved in using Aspen Multi-Case
  • Discuss the alternative of using Aspen Simulation Workbook to obtain simulation data (steps provided in appendix)
  • Workshop: Create simulation data for an a Cumene Production Process using Aspen Plus or Natural Gas Dehydration with TEG using Aspen HYSYS
Workflow for Reduced Order Sensor Models for Engineering
  • Review importing files from Aspen Multi-Case
  • Understand the advantages of using the sensor workflow
  • Discuss options for model improvement by using higher order and changing the test/train ratio
  • Workshop: Create an Aspen Hybrid Model for a Cumene Production Process using Aspen Plus or Natural Gas Dehydration with TEG using Aspen HYSYS

Workflow for Reduced Order Equipment Models for Engineering
  • Understand key advantages of using the Equipment workflow
  • Review process to deploy models in Aspen Plus/Aspen HYSYS and how to make stream connections
  • Workshop: Create an Aspen Hybrid Model for a Methyl-Cyclohexane Distillation Column in Aspen Plus or Propane-Propene Distillation Column in Aspen HYSYS
Conclusions
  • Review key highlights and takeaways from the course

Register for a Class

Date Class Type Location Price Language
Date(s): 05/1/2025 - 05/1/2025 Type: Public Virtual Location: Virtual-Americas Price: (USD) 1000.00 Language: English Register
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Date(s): 07/31/2025 - 07/31/2025 Type: Public Virtual Location: Houston, TX Price: (USD) 1000.00 Language: English Register
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Reading , United Kingdom RG2 6DT 		Price: (USD) 1000.00 Language: English Register
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Date(s): 08/14/2025 - 08/14/2025 Type: Public Classroom Location: C2, Reading International Business Park, Basingstoke Road
Reading , United Kingdom RG2 6DT 		Price: (USD) 1000.00 Language: English Register
Date(s): 11/13/2025 - 11/13/2025 Type: Public Classroom Location: C2, Reading International Business Park, Basingstoke Road
Reading , United Kingdom RG2 6DT 		Price: (USD) 1000.00 Language: English Register
Date(s): 10/16/2025 - 10/16/2025 Type: Public Virtual Location: Virtual-EMEA Price: (USD) 1000.00 Language: English Register
Date(s): 12/11/2025 - 12/11/2025 Type: Public Virtual Location: Virtual-EMEA Price: (USD) 1000.00 Language: English Register

Aspen Technology, Inc. awards Continuing Education Units (CEUs) for training classes conducted by our organization. One CEU is granted for every 10 hours of class participation.