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Energy Modelling

We build and extend models that connect generation, demand, storage, networks and molecules across countries and time. This gives planners one place to see how a change in one part of the system affects the rest.

The planning question

Explore a system where carriers, constraints and weather scenarios interact.

Terajoule models electricity, hydrogen, methane and synthetic fuels, from continental systems down to individual nodes. We agree the scenario, assemble the data and build or adapt the model, then use the results to identify the constraints driving the outcome.

Each result belongs to a defined scenario. We record the sources and assumptions, test sensitivities and explain how far the result can be used. If the model cannot answer part of the question, we say so.

Experience

Experience from real modelling and planning work.

01

Integrated model architecture

Our modelling work links generators, demand, storage, transmission, pipelines, imports, conversion technologies and emissions. A change in one carrier can move cost, scarcity or flexibility somewhere else, so we model those connections together.

02

Scenario and climate structure

We have organised multi-horizon model inputs around scenario assumptions, climate samples and external data files, including work spanning 2030 to 2050. The structure keeps the baseline reproducible while allowing new cases to be tested.

03

Build, update and assurance

Our teams work with PLEXOS-based European models, structured data pipelines and cross-sector planning environments. We check object relationships, temporal coverage, units, missing inputs and result consistency before a run enters a decision process.

04

Demand forecasting

We can start with annual demand from ETM scenarios or historical ENTSO-E load, adjust it from national and sector totals down to nodes and individual assets, then create 8,760-hour profiles. Weather and climate inputs shape heating, cooling, transport and industrial demand across electricity, hydrogen and heat.

How we work

How we move from the question to an answer.

  1. 01Frame the decision

    Agree the scope, geography, horizon, planning question and acceptance test.

  2. 02Map the system

    Identify the carriers, assets, data sources and interfaces that can change the answer.

  3. 03Build the case

    Create or extend the model with traceable assumptions and controlled versions.

  4. 04Test the result

    Run sensitivities, reconcile anomalies and explain the decisive constraints.

What the team receives

What your team can continue to use.

  1. 01Model and data architecture with clear system boundaries
  2. 02Scenario definitions, source register and assumption log
  3. 03Validated model inputs, run configuration and quality checks
  4. 04Results, sensitivities and a concise decision note

Partnerships & consortiums

We work with partners when the question needs more than one area of expertise.

We are open to partnerships and consortiums with system operators, public bodies, research organisations, infrastructure developers and technology teams.

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