Webinar

Slow Simulations, Complex Models? Rethinking HVAC and Thermal-Fluid Modeling

Webinar

Slow Simulations, Complex Models? Rethinking HVAC and Thermal-Fluid Modeling

Event Date & Time

EDT

Speakers

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Event Date & Time

EDT

Speakers

Share

Refrigeration, HVAC, and thermal-fluid systems are hard to model. They involve two-phase, compressible, turbulent flow with heat transfer, and they depend on accurate fluid properties. The Modelica Fluid and Media libraries set the standard for this work, but engineers still face complex media definitions, slow simulations, and limited tooling as their systems grow.
Dyad rethinks fluid and media modeling. It builds on these proven concepts in a modern language powered by ModelingToolkit.jl, designed to keep models simpler to build and faster to simulate. Three libraries do the heavy lifting:

  • Media library: hierarchical fluid and physical property models, including fast refrigerant property models.

  • Fluid library: generic 1D thermal-fluid flow.

  • HVAC library: high-performance refrigeration models.

An experimental transpiler converts existing Modelica models to Dyad, so teams can build on the work they already have.
Avinash Subramanian walks through the language and libraries, with real examples from heat exchangers, fluid networks, and vapor-compression cycles.
What You'll Learn

  • Why Dyad: how a modern language simplifies fluid circuits, hierarchical media, and physical property modeling.

  • The libraries: a tour of the media, fluid, and HVAC libraries, and the numerical methods that make two-phase flow simulation fast.

  • Migration: converting Modelica models to Dyad with an experimental transpiler.

  • Applications: heat exchangers, incompressible fluid networks, and vapor-compression cycles.

Who Should Attend
 Engineers and researchers in HVAC, refrigeration, thermal-fluid systems, or EV thermal management, especially teams already using Modelica.

Speakers

Avinash Subramanian is a Software Engineer at JuliaHub, specializing in simulation, control, and optimization. He leads the development of Dyad HVAC and thermal-fluid system models, enabling high-speed simulation of complex two-phase flows through advanced numerical methods. He also contributes to JuliaHub’s Optimal Uncertainty Quantification efforts, building algorithms for distributionally robust optimization in safety-critical systems. Prior to JuliaHub, Avinash was a graduate researcher at MIT’s Process Systems Engineering Laboratory and a lecturer at NTNU, Norway, where he taught Mixed-Integer and Nonconvex Optimization. He holds a PhD in Energy and Process Engineering from the Norwegian University of Science and Technology (NTNU).

Speakers

Avinash Subramanian is a Software Engineer at JuliaHub, specializing in simulation, control, and optimization. He leads the development of Dyad HVAC and thermal-fluid system models, enabling high-speed simulation of complex two-phase flows through advanced numerical methods. He also contributes to JuliaHub’s Optimal Uncertainty Quantification efforts, building algorithms for distributionally robust optimization in safety-critical systems. Prior to JuliaHub, Avinash was a graduate researcher at MIT’s Process Systems Engineering Laboratory and a lecturer at NTNU, Norway, where he taught Mixed-Integer and Nonconvex Optimization. He holds a PhD in Energy and Process Engineering from the Norwegian University of Science and Technology (NTNU).

Speakers

Avinash Subramanian is a Software Engineer at JuliaHub, specializing in simulation, control, and optimization. He leads the development of Dyad HVAC and thermal-fluid system models, enabling high-speed simulation of complex two-phase flows through advanced numerical methods. He also contributes to JuliaHub’s Optimal Uncertainty Quantification efforts, building algorithms for distributionally robust optimization in safety-critical systems. Prior to JuliaHub, Avinash was a graduate researcher at MIT’s Process Systems Engineering Laboratory and a lecturer at NTNU, Norway, where he taught Mixed-Integer and Nonconvex Optimization. He holds a PhD in Energy and Process Engineering from the Norwegian University of Science and Technology (NTNU).

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Slow Simulations, Complex Models? Rethinking HVAC and Thermal-Fluid Modeling