Webinar

A Practical Guide to 1D Thermal-Fluid Simulation

Webinar

A Practical Guide to 1D Thermal-Fluid Simulation

Event Date & Time

EDT

Speakers

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Event Date & Time

EDT

Speakers

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A practical look at how JuliaHub's Dyad language, and its FluidComponents and HVACComponents libraries, are changing how engineers model refrigeration, HVAC, and thermal-fluid systems.

Dyad brings a modern, model-based systems engineering approach to fluid systems, built on the symbolic-numeric advances of ModelingToolkit.jl. Join Avinash Subramanian as he walks through the language, the libraries, and how teams are putting them to work on real hardware.

What You'll Learn

  • Why Dyad — A feature-rich language for fluid system modeling that simplifies specifying distinct fluid circuits, supports hierarchical media and physical property modeling, and blends declarative and imperative semantics.

  • FluidComponents & HVACComponents — A tour of two pre-built modeling libraries: FluidComponents, a generic library for 1D thermal-fluid flow, and HVACComponents, a specialized high-performance library for refrigeration systems — plus the numerical techniques behind modeling two-phase, compressible, viscous, turbulent flows with heat transfer.

  • Migrating Existing Libraries — A look at an experimental transpiler that automatically converts Modelica models to Dyad, source-to-source.

  • Industrial Applications — Real-world examples: Heat exchangers, Incompressible fluid networks, Vapor compression Cycles

Who Should Attend

Engineers and researchers working in HVAC, refrigeration, thermal-fluid systems, or EV thermal management — and anyone interested in model-based systems engineering in Julia.

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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A Practical Guide to 1D Thermal-Fluid Simulation