Artelys leverages mathematical optimization for energy systems operations
Energy system operators run power or heat production equipment, networks, storage facilities or industries under very constrained conditions. They make trade-offs to achieve the best economic performance while handling technical constraints (e.g. start-up ramps), environmental constraints (e.g. maximum emissions), and regulatory constraints (e.g. accepted hydraulic spill). Their decision range is restricted: building a feasible schedule may already be challenging. Yet, in many cases, numerous flexibilities can be activated to make the most of the equipment: e.g. multi-energy sources, multi-commodities, flexibility within the structure of supply or delivery contracts, provision of ancillary services, management of demand flexibility, aggregation via several assets, participation to one or several markets.
To enable energy system operators to make the most of their assets, Artelys has developed Artelys Crystal Energy Planner. Now available in an easy-to-use web version, embedding powerful forecasting and mathematical optimization algorithms, it allows energy system models to be customized to perfectly replicate all asset constraints while modeling flexibilities and associated revenues/costs. It offers an end-to-end solution for optimized planning, including forecasting of key quantities, integrating with the existing IT environment, and allowing the definition of multi-level planning processes and workflows (for geographical or temporal segmentation of your decision-making).
To discover this innovative solution, we offer to start by estimating the full economic, environmental and organizational ROI (Return on investment) for your specific system before any deployment.
Contact our team of experts for more information, and watch our demo video!
Innovative grid technologies can improve renewable energy integration in the Latvian grid by up to 40%
—The power grid faces challenges in managing the increasing amounts of new wind and solar power generation. Grid Enhancing Technologies (GETs) are essential for optimizing the use of the existing infrastructure. Artelys carried out a study for Latvian Transmission System Operator (TSO) AST to assess the renewable generation hosting capacity of the transmission grid and to evaluate the benefits that GETs can provide to renewable integration. The study performed simulations using the open-source optimal flow tool, PowSyBI Metrix. Results show that Grid Enhancing Technologies can increase Renewable Energy Sources (RES) hosting capacity by up to 40% and were announced in the following press release.
Artelys Knitro 14.1: delivers very quick solutions on non-convex models
— We are pleased to announce that Artelys Knitro 14.0 is now available! This new version enables compagnies to solve complex non-linear optimization problems with unprecedented efficency and precision.
You missed the METIS 3 Dissemination event? The slides are now available!
— Artelys was thrilled to organize the METIS 3 Dissemination webinar on April 17, which was a great opportunity to present key studies and upgrades of METIS models and datasets conducted in the last four years, including exciting discussions with external panelists!
Artelys participates in the demonstration of large-scale underground hydrogen storage in Europe
— Artelys is involved in the five-year project FrHyGe funded by the European Commission via the Clean Hydrogen Partnership.
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