plasmapotential/heat repository overview

⁠HEAT

⁠Description:

The Heat flux Engineering Analysis Toolkit (HEAT) is a suite of tools for predicting the heat flux incident upon PFCs in tokamaks, and the associated PFC state (ie temperature).
The toolkit connects CAD, FVM, MHD, ray tracing, plasma physics, and more, in one streamlined package.
The objective is to enable engineers and physicists to quickly ascertain heat loads given specific magnetic configurations and geometric configurations.

Some examples of what HEAT can predict:

• 3D heat loads from 2D plasmas for limited and diverted discharges
• Heat fluxes from the optical approximation, ion gyro orbit approximation, and photon flux
• Time varying heat loads and temperature profiles
• Magnetic field line traces
• Many other quantities

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The latest release of HEAT is v4.2

To cite HEAT, you can use a paper published by the journal Fusion Science and Technology under open access. The paper can be found here: https://doi.org/10.1080/15361055.2021.1951532⁠

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For users who want to run HEAT, you will need to download the HEAT docker container from dockerhub. There is no longer support for the Linux appImage, as the docker container is OS agnostic and achieves equal speeds as the appImage. Users must download the docker container to get the HEAT environment. The HEAT docker container has been tested on Linux, MacOS, and Windows. See the tutorials link below for more information on installation.

There is a companion repo to this one, which provides some HEAT pre/post processing functions: https://github.com/plasmapotential/HEATtools.git⁠

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The developer is Tom Looby, a Scientist at Commonwealth Fusion Systems.

This project is open source under the MIT license.

Tom's email: [email protected]⁠

⁠HEAT Source Code

The HEAT source code can be found here: https://github.com/plasmapotential/HEAT⁠