Product Update

Next-Gen Thermo-Fluid Design: Introducing Dyad HVAC for Agentic Engineering

Product Update

Next-Gen Thermo-Fluid Design: Introducing Dyad HVAC for Agentic Engineering

Date Published

Speakers

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Date Published

Speakers

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For decades, we have trusted HVAC and refrigeration systems to sustain our infrastructure—keeping buildings comfortable, data centers cool, vaccines viable, and electric vehicles on the road. Yet, the tools used to design them belong to a different era. Today’s engineers are forced to juggle four or five different siloed software packages just to handle modeling, steady-state analysis, transient simulation, and control. When data doesn’t flow, handoffs introduce massive friction.

In this video, JuliaHub introduces Dyad HVAC—a complete, unified platform built from the ground up for agentic engineering.

See a live demo of a vapor compression air conditioning cycle using industry-grade primitives, and learn how Dyad HVAC replaces fragmented pipelines with a single environment. Discover the power of fast, spline-based property models that run 1,000 times faster than legacy tools, and watch the Dyad Agent autonomously parse online documentation to write, test, and visually verify a custom compressor model in real time.

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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Next-Gen Thermo-Fluid Design: Introducing Dyad HVAC for Agentic Engineering