System Studies

System Modelling

We model national and regional power systems, turning scenario uncertainty into policy-relevant insight for governments, industry bodies and international institutions.

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Electrical power substation in the country side of Slovenia. Fields and forests surrounding the power station in the suburbs. Aerial view.

what is System Modelling?

System modelling builds an hour-by-hour picture of how a power system could evolve under different technology, policy and demand scenarios, showing what is achievable, what it costs, and where a plan is likely to run into trouble. It’s for organisations planning policy or investment at scale: industry bodies, climate advocacy groups, technology providers, and national and international institutions.

A decision on technology mix, market design or demand growth has consequences across the whole system, not just the part directly affected. System modelling narrows that uncertainty into testable scenarios, so a planning decision can be made against evidence rather than assumption.

what is System Modelling?

The cost of inaction

An uninformed technology or policy choice can lock in a pathway that turns out to be delayed, expensive to unwind, or simply infeasible. We test pathways before capital or policy is committed, not after.

Clarity in an uncertain future

Every study sets out the scenarios, data and methodology behind it, so you can see what a result depends on and what would change it.

Insight built for policy

We translate model output into the indicators a decision actually rests on. It's the same approach behind our 300 TWh study for the Confederation of Swedish Enterprise, handed directly to the Swedish Government.

Purpose-built modelling tools

Every scenario we model is assessed against decarbonisation targets alongside cost, reliability and security of supply, using our own tools, cGrid and GenX, alongside open-source models.

Our experience in the field

Clean Air Task Force (CATF) — power system expansion, Germany

The problem

How Germany's power system could be decarbonised.

our approach

We built an energy system modelling study of German power system expansion pathways.

the outcome

We briefed the European Commission on the cross-border expansion insights from the study, which is referenced in the European Commission's Nuclear Illustrative Programme (p. 16).

see full case study

Swedish power system at 300 TWh - Confederation of Swedish Enterprise

The problem

Whether a climate-neutral Swedish power system can stay robust at a demand level of 300 TWh.

our approach

We ran an energy system modelling study testing system robustness against a range of scenarios at 300 TWh.

the outcome

The study informed Swedish Government energy policy. The State Secretary at the Ministry of Climate and Enterprise said: "I think it's a very good study, that's exactly where we need to go."

see full case study

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What our analysis looks like

Sample visualisations from our system modelling studies, illustrating our analysis of scenario pathways, system cost and long-term power system development.

Build the scenario framework. We design the scenarios and the system representation needed to test the question properly.

Run the models. We combine our own tools, cGrid and GenX, with open-source models to optimise and evaluate each scenario.

Evaluate against key indicators. We assess outcomes against the capabilities the system needs to deliver: cost, reliability and security of supply.

Deliver and discuss. We hand over reports, scenario dashboards and quantified indicators, and run stakeholder workshops to work through what the results mean for a decision.

need SPECIFIC advice?

Let us know your email address and we’ll get in touch to arrange a free consultation.

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