Contact About Terajoule
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
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
Our assistants support model checks, scenario updates, analysis and reporting. A modeller reviews changes and results before they are used.
People behind the work
Leadership
Managing Director & Chief Modeller
Leads Terajoule’s energy-system modelling practice, with a focus on integrated scenarios, infrastructure planning and the translation of complex model output into decisions.
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Energy systems · Software · AI workflows
Terajoule brings together modellers, engineers and analysts who build the models, interfaces and review processes used in the work.
Meet the team in conversationOur values
We show the sources, assumptions and uncertainty behind our conclusions.
Electricity, hydrogen, methane, synthetic fuels, networks and sectors are analysed as one connected system.
AI can speed up the work, but people review the results and remain responsible for how they are used.
We share methods and datasets when this helps others understand, reproduce or improve the work.
Every project gives us a better understanding of the tools, workflows and data the sector needs.
What we offer
Scenario design, system optimisation, networks, flexibility and cross-sector integration.
Infrastructure needs, adequacy, flexibility and timing across planning scenarios.
Assistants and automated workflows built around the models and data teams already use.