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!
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Artelys Participates in the European HyNet Project to Optimize Hybrid AC/DC Power Grids
As part of the Horizon Europe program, Artelys is participating in the HyNet project. This initiative aims to study and optimize the operation of hybrid AC/DC power grids in the context of the rapid growth of power electronics-based technologies and the widespread deployment of distributed energy resources.
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