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How to Model Cooling and Flow systems in Digital Twin with the Heating and Cooling Library

Predicting the real-world dynamic behavior of incompressible liquid circuits is key to ensuring cooling systems' performance.

In this webinar, we'll explore how the Liquid Cooling Library (LCL) from Modelon (now part of the Ansys Heating and Cooling Library package) enables the fast creation of high-performance, robust models of those systems.

Time:
March 22, 2022
11 AM EDT / 4 PM GMT / 8:30 PM IST

Venue:
Online

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About this Webinar

Predicting the real-world dynamic behavior of incompressible liquid circuits is key to ensuring cooling systems' performance.

In this webinar, we'll explore how the Liquid Cooling Library (LCL) from Modelon, now part of the Ansys Heating and Cooling Library package, enables the fast creation of high-performance, robust models of those systems. You'll discover how to predict the performance of electric vehicle battery, inverter, and motor cooling systems, the flow distribution and pressure loss in fuel refinery piping with different ingredient blends, and the flow distribution and cooling performance of large industrial cooling systems.

We'll demonstrate how, used across the system's life, from the early design stage, selecting and sizing components to the operational phase, the modelling of cooling and flow systems truly enables physics-based predictions as part of a digital twin.

What attendees will learn

  • Get a tour of the typical use cases and examples for the library
  • Discover a unique modeling approach of the library
  • See the benefits compared to standard libraries

Speaker

  • Ed Carman