RVO selects Artelys Crystal Super Grid
RVO will use Artelys Crystal Super Grid to create their own energy scenarios based on a reference METIS dataset that will be extended to adopt a finer geographical representation of the Netherlands, by enabling a modeling at the level of provinces. The tool contains a library of multi-energy assets (electricity, gas, hydrogen, heat) for production, storage, conversion, consumption, and exchanges of energy. Artelys customized it to the specific needs of RVO, for example on the integration of ammonia in multi-energy simulations and on the representation of CO2 exchanges.
Artelys is also thrilled to share that RVO will be one of its first customer to benefit from the new SaaS web-based version of the Artelys Crystal Super Grid solution, allowing for an improved multi-users collaboration, increased performance of the simulation, and turnkey deployment.
If you want to try Artelys Crystal Super Grid, please contact us and request a demo here!
Artelys continues to expand internationally
With over 20 years of experience in mathematical optimization, Artelys offers a wide range of advanced components to adapt to your most complex challenges on an international scale.
Analysis of the environmental impact of renewable energies
— The study carried out by Artelys highlights the benefits of renewable energies in the fight against climate change. The analysis also looks at other major issues, such as biodiversity, the use of raw materials and the reduction of pollution.
Join us at the METIS 3 dissemination event organized by Artelys!
— Artelys is thrilled to invite you to the METIS 3 Dissemination Event taking place on 17 April. During this online event, we will present the latest results of the METIS project and discuss the benefits of using advanced multi-energy modelling solutions such as METIS for energy and climate policymaking.
Artelys Knitro 14: new release of our nonlinear optimization solver
— 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.
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