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About Terajoule
We build tools for planning complex energy systems.
Terajoule combines energy modelling, capacity planning and AI engineering. We use them together because the planning question usually crosses more than one part of the system.
Our mission
Improve how energy systems are planned.
Terajoule designs rigorous multi-carrier, multi-sector and multi-node models that reveal how energy systems can evolve to 2050 and beyond. We work across investment needs, adequacy, flexibility, cross-border flows and the interactions between electricity, hydrogen, methane and synthetic fuels.
Our work covers existing energy systems and new environments where generation, storage and demand have to operate under different physical and logistical constraints. We use the models to answer practical planning questions and explain the conditions behind each result.
People and AI
People build the models.
AI helps us work with them.
Our assistants support model checks, scenario updates, analysis and reporting. A modeller reviews changes and results before they are used.
People behind the work
The people building Terajoule.
Meet the people bringing energy-system expertise, applied AI, software engineering and operations together. Explore their backgrounds, experience and digital CVs.
Meet our teamOur values
How we work.
Whole-system thinking
Electricity, hydrogen, methane, synthetic fuels, networks and sectors are analysed as one connected system.
Keep people responsible
AI can speed up the work, but people review the results and remain responsible for how they are used.
Share methods where we can
We share methods and datasets when this helps others understand, reproduce or improve the work.
Improve through each project
Every project gives us a better understanding of the tools, workflows and data the sector needs.
What we offer
Energy modelling, capacity planning and AI engineering.
Energy modelling
Scenario design, system optimisation, networks, flexibility and cross-sector integration.
Capacity planning
Infrastructure needs, adequacy, flexibility and timing across planning scenarios.
AI engineering
Assistants and automated workflows built around the models and data teams already use.