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Knitro 14.2 solve your toughest nonlinear non-convex models in seconds
— 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.
Artelys Powers the Launch of CorNet’s Common Grid Model (CGM) Service
Artelys has been selected to develop computation engine modules for the Common European Merging Function (EMF) used in the core of the CorNet program’s RCC Service Platform, enabling pan-European operational power grid coordination and security analysis.
Driving Renewable Energy Integration: Advanced Solutions to increase the existing power grid’s renewable hosting capacity
Artelys proposes a methodology based on Artificial Intelligence to evaluate the increase of hosting capacity of variable Renewable Energy Sources (vRES) in electrical networks thanks to Grid Enhancing Technologies (GETs). .
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— Relying on their high level of expertise in quantitative methods, our consultants deliver efficient solutions to complex business problems that best meet the needs of our clients.
Strong skills in Operational Research, Modeling and Decision Support
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A business experience of energy, transport and logistics issues
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Numerical components that give you a head start
— Whether it is to model the complex problems that our customers are submitting to us or to provide the Artelys Crystal suite with the most powerful optimization engine, we rely on the most advanced mathematical programming tools in their respective fields.
Numerical components that give you a head start
— Whether it is to model the complex problems that our customers are submitting to us or to provide the Artelys Crystal suite with the most powerful optimization engine, we rely on the most advanced mathematical programming tools in their respective fields.
reports
— Discover the results of the technico-economic studies carried out on behalf of our customers using the modeling platform Artelys Crystal.
Integration of renewable energy in the Latvian grid
As solar and wind installations have rapidly expanded in Latvia and neighboring countries in recent years, the challenge of efficiently integrating renewable energy into the grid has emerged. To address this, the Latvian TSO AST commissioned Artelys to conduct a study aimed at assessing the grid’s renewable hosting capacity and evaluating the potential benefits of Grid Enhancing Technologies (GETs) for facilitating renewable integration. The study performed simulations with the open-source optimal power flow tool PowSyBl Metrix. The findings highlight that GETs could increase the grid’s Renewable Energy Sources (RES) hosting capacity by up to 40%, without requiring major grid expansion projects. The study concludes by providing a set of recommendations in relation to integration of Innovative Grid Technologies in the Latvian grid.
Mission Solar 2040 – Europe’s flexibility solution
Artelys was commissioned by SolarPower Europe to conduct a study on the interdependency between the development of flexibility solutions in the European power system and a possible solar PV uptake on 2030 and 2040 time horizons. Artelys Crystal Super Grid was used to jointly optimize the hourly operation of the power system along with the investments in additional solar PV capacities, under 2030 and 2040 scenarios that represent gradual deployment levels for flexible capacities (stationary batteries, cross-border interconnections) and demand electrification (electric vehicles, heat pumps, electrolytic hydrogen generation). The study shows that scenarios with ambitious flexibility and electrification levels allow for advanced PV deployment, with solar capacities exceeding 1.2 TWDC in 2030 and 2.4 TWDC in 2040, respectively providing 32% and 39% of the EU power demand. This accelerated development of flexibility solutions also secures a strongly improved business case for solar PV, with lower curtailment rates and stronger capture prices, along with significant multi-sector cost savings and emission reductions thanks to advanced electrification.
Why European Underground Hydrogen Storage Needs Should Be Fulfilled
Artelys was commissioned by Gas Infrastructure Europe to assess the 2030 and 2050 needs for Underground Hydrogen Storage (UHS) in an optimized European energy system, as well as the potential cost savings achievable thanks to an ambitious development of UHS in 2030. In this study, Artelys Crystal Super Grid was used to jointly optimise the hourly energy dispatch along with investment decisions for both a Pan-European hydrogen infrastructure (storage, cross-border pipelines, electrolysers) and power flexibilities (interconnections, batteries, peakers). In particular, this work relies on the integrated modelling of the coupled hydrogen and power layers under assumptions that underpin REPowerEU ambitious in 2030, and the target of a net-zero EU economy in 2050. Key modelling outcomes highlight a need for a 45 TWh LHV storage capacity as early as 2030 (working gas volume), which represents a gap of 36 TWh LHV with the foreseeable pipeline of UHS projects. Complementary simulations showed that filling this gap will lead to investment and operation cost savings that represent 2.5 billion euros per year.
Artificial agents designed to run a power network
As the electricity mix evolves from predominantly centralized thermal power generation to decentralized renewable generation, grid operations become increasingly complex. As an expert in AI, Optimization and energy, Artelys is supporting major energy players that have launched initiatives to devise innovative ways of operating the power grid based on optimization and machine learning. Among them, RTE, French TSO, is animating the L2RPN competition (Learning to Run a Power Network) to encourage the development of solutions based on Reinforcement Learning approach. The competition has fostered the development of the open-source framework grid2op, which Artelys is a contributor for years. In the 2023 edition co-organized by the Ile de France region, Artelys successfully participated as a contender with its solution that was ranked first on the leaderboard! Our solution is based on a multi-agent cooperation framework where specialized agents based on different technologies (Reinforcement Learning, Optimization and Expert System) can take advantage of the different options (topological actions and flexibility mechanisms) when they are best suited. This success paves the way to the next steps to safely bring these AI assistants in operator’s hands.
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— Take advantage of the skills and experience acquired by Artelys consultants thanks to an original training offer, conceived as a real instrument for sharing knowledge.
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