Unlock Operational Excellence with AI-Powered Digital Twins

This program develops the skills needed to create an AI-powered Digital Twin, beginning with the design and operation of a process facility in HYSYS. Attendees will review the advantages of using Aspen Hybrid Models and understand when they should be applied, as well as identify the different types of Hybrid Models and become proficient in their use.

Participants will learn how to take an offline simulation model and deploy it online using the built-in plant data features in HYSYS/Aspen Plus. They will also discover how to leverage online digital twins in combination with Hybrid Models for process monitoring, optimisation, generating process insights, and supporting troubleshooting activities.

Attendees will also have the opportunity to discuss adoption strategies and use cases for AspenTech’s AI solutions.

Audience:

- Engineers who will be (are interested in) developing AI-Powered Digital Twin

- Process engineers doing process design and optimization projects and studies

Training Details

  • Course Id:

    EHM105

  • Duration:

    5 day(s)

  • CEUs Awarded:

    3.5

  • Level:

    Introductory

Benefits

- Leverage the intuitive solving capabilities and other key features of Aspen HYSYS that allow for rapid flowsheet construction

- Explore a variety of ways to report simulation results.

- Evaluate the performance of existing equipment by leveraging the equipment rating capabilities of Aspen HYSYS.

- Improve the convergence characteristics of columns and flowsheets, and troubleshoot common problems.

- Gain the practical skills and knowledge needed to begin using Aspen Hybrid Models.

- Learn the differences between various workflows and the information required to create Aspen Hybrid Models.

- Review and work through examples of different types of Aspen Hybrid Models to gain hands-on experience.

- Gain the skills and knowledge to import plant data into process simulation models.

- Learn practical skills to monitor plant performance through data transfer.

- Determine optimal process conditions and improve existing processes using online plant data within the process simulator.

Approach

- Instruction on basic topics

- Discussion about the general approach and the key elements for successful simulations

- Instructor-led demonstrations of features

- Hands-on workshops using examples from the industry

- Detailed course notes

- Consultation from AspenTech experts on how to adopt features

Pre-requisites

A background in chemical engineering or industrial chemistry.

Agenda

·        Aspen HYSYS Process Simulation Overview

·        Getting Started

·        Propane Refrigeration Loop

·        Reporting in Aspen HYSYS

·        Oil Characterization and HP Separation

·        Heat Exchanger Rating

·        Gas Gathering and Crude Pre-Heat Train

·        NGL Fractionation and Atmospheric Crude Column

·        Introduction to Aspen Hybrid Models

·        Creating Aspen Hybrid Models

·        Workflow for Creating an AI Model Builder Project

·        Data Importing and Configuration

·        Workflow for Data Cleaning

·        Build the Project

·        Analyze and Deploy

·        Introduction to Aspen Multi-Case

·        Overview Of Plant Data Feature

·        Solution architecture and Success stories of Digital Twin (AI and Online)

·        Identify and discuss use cases and deployment strategies 

 

Click here to download the full agenda.

Register for a Class

Date Class Type Location Price Language

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.