Energy modelling jobs

Energy Modelling & Simulation Jobs in Renewable Energy

Energy modelling and simulation is the building of mathematical models of energy systems and assets, from national power markets and heat networks to single buildings, to test investment, dispatch, and policy decisions before money is spent. Governments now set targets from these models directly: the UK's Clean Power 2030 Action Plan adopts two NESO modelling pathways and translates them into capacity ranges of 43 to 50 GW of offshore wind, 45 to 47 GW of solar, and 23 to 27 GW of battery storage by 2030.

Three kinds of modeller

The job title hides three different professions. Energy system and market modellers run capacity-expansion and dispatch models in tools such as PLEXOS or the open-source PyPSA, answering what should be built, where, and what it will earn. Their output feeds price forecasts, investment cases, and government strategy, and the work sits next to energy markets and economics. Consultancies such as Aurora Energy Research and Tractebel employ large teams of them, and titles such as Analyst, Power Market Fundamentals, or Referent Europäische Energiemarktmodellierung describe this role.

Asset and plant modellers simulate one system in detail: a battery's degradation under a given trading strategy, a hydrogen plant's electrolyser load, a heat network's temperatures through a cold week. Berlin's district heating operator BEW Berliner Energie und Wärme, which is converting the city's coal-fired heat supply, is one of the most active employers in this category, and its models decide where heat pumps, large thermal stores, and waste heat enter the district heating network. Digital twins, live models fed by plant data, extend the same work into operations.

Building energy modellers calculate loads, savings, and compliance for individual buildings in tools such as EnergyPlus or IES VE, often for efficiency programmes run by companies like CLEAResult. This work overlaps with building energy performance and is the most accessible entry point for engineers without a programming background.

Grid studies, such as load flow, short-circuit, and dynamic stability analysis, use simulation too, but they belong to power systems engineering, where employers such as Ulteig and Siemens Energy hire for them separately.

Skills that pay

The sharpest divide in the market is between modellers who write code and those who only drive licensed software. Python has become the default, open-source frameworks such as PyPSA are now widely used in research and consultancy, and a candidate who can build, test, and document a model in version control is worth more than one who can operate a single commercial tool. Optimisation skills (linear and mixed-integer programming) are the core technical skill for system modellers, and statistics and machine learning matter increasingly for forecasting.

What separates senior modellers, though, is judgement rather than code: knowing which simplifications a model can survive, spotting when a result is an artefact of an assumption, and explaining the difference to a client or regulator who will act on it. With the Clean Power plan estimating around £40 billion of investment a year between 2025 and 2030, the people who can defend a model's assumptions in a room of sceptical engineers and investors are the ones those decisions depend on.