Release of ADEME’s report “Modeling and optimizing French and European power mixes from 2020 to 2060”
Over the last 12 months, in coordination with its “ Transition(s) 2050” project in which four multi-energy carbon-neutral pathways were built for France, Artelys has set up a detailed model able to represent power generation, demand dynamics (including flexibility), and internal networks, with infra-national granularity, from 2020 to 2060. While sensitivity analyses are underway, the already available reports highlight the following findings, among others:
- The transition to energy mixes more reliant on RES-e leads to a more evenly distributed power generation system compared to today’s situation. In order to limit network reinforcements and the costs of flexibility provision, investments in generation have to be planned jointly with network developments. Notably, commissioning renewables in best-LCOE areas (disregarding network constraints) leads to higher overall costs.
- Along with the reinforcement of interconnectors and the increase of cross-border exchanges, the development of demand-side flexibility is key to ensure that the power system functions in a cost-efficient manner. Electric vehicles’ smart-charging and electrolysers’ flexible operations, notably, are crucial to adequately integrate renewables.(see demand profile before/after DSF below).

The French report is available here and the modeling assumptions are gathered in a dedicated leaflet. If you want to know more about our prospective studies, you can contact us or visit the dedicated web page.

Artelys Introduces Future Sight: a Visualisation Tool Supporting the Energy Transition
As partner in the European Climate + Energy Modeling Forum (ECEMF) – a Horizon 2020 Europe project uniting research institutes and leading energy modellers in Europe – Artelys has contributed to modeling activities powered by Artelys Crystal Super Grid modelisation tool, and has led the development of a fully-fledged visualisation tool.

Supercharging Optimisation: How Artelys, FICO and NVIDIA cuOpt Join Efforts to Scale Up Energy System Optimisation
As energy system models continue to scale—reaching up to hundreds of millions of variables and constraints—traditional CPU-based optimisation solvers are hitting performance and memory bottlenecks. These increasingly complex models are essential for planning Europe’s energy transition, yet solving them within realistic timeframes has become a pressing challenge.

Artelys is powering SEleNe CC’s Common Grid Model (CGM) Service
Artelys provides maintenance and support services of the calculation module used to perform the European Merging Function (EMF) at SEleNe CC

Improving electrical transformer production planning with artificial intelligence solutions
Improving high-voltage transformer production planning at the Hitachi Energy factory in Varennes with advanced artificial intelligence solutions.
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