Delivery of Artelys Crystal City to the European Metropolis of Lille
In 2018 and 2019, Artelys supported the European Metropolis of Lille (MEL) in the development of an energy planning study, aiming to strengthen the knowledge of the current energy situation of the territory, and to build a shared vision and a roadmap common to all actors.
This study made a major contribution to the Climate Air Energy Territory Plan (PCAET) accepted by the metropolis in December 2019, which further confirms its commitment to fight against global warming.
The use of advanced modelling tools such as Artelys Crystal City enables the metropolis to assess the impacts of different energy policies (energy renovation of buildings, energy efficiency, etc.) and adapt the territory’s strategy in a dynamic way.
Artelys Knitro 16.0: Model Nonlinear Problems Natively, Solve Them Concurrently
Artelys is pleased to announce the release of Knitro 16.0, a major version introducing two flagship features — a native Nonlinear Modeler and a Concurrent Solver — alongside significant performance and robustness improvements for nonlinear, mixed-integer and linear optimization problems.
First Successful Auction for the New French Capacity Mechanism!
— The first auction of the new French Capacity Mechanism was successfully held on Monday, 6 July 2026. Artelys is proud to provide the market clearing algorithm used to select the accepted capacity offers.
Artelys compared the compensation mechanisms available for hydropower across global electricity markets in collaboration with CEATI
— Artelys is proud to have issued a new report published by CEATI, providing a comprehensive benchmark of compensation mechanisms available to hydropower assets across electricity markets in North America, Europe, and beyond.
Artelys Crystal HPC: Our integrated, sovereign High-Performance Computing (HPC) managed platform for industries
— Organizations that run complex simulations, large-scale optimizations, or sensitive calculations face a threefold challenge: securing the computing power to match their ambitions, ensuring data sovereignty, and avoiding weeks of setup time before seeing initial results.
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