ENTSOG and ENTSO-E publish Artelys study on gas-electricity interlinkages
The objective of the study Artelys has carried out was to provide recommendations to the ENTSOs on the way to account for interlinkages between gas and electricity during the project assessment phase. The study has focused on the identification of relevant projects for which a joint gas-electricity assessment is recommended. The proposed screening methodology aims at identifying the relevant projects for which the interactions between the gas and electricity systems have a sizable impact on their economic assessment. After a thorough analysis of the interlinkages between the gas and electricity sectors, and a discussion of the role of the scenario building phase, three key sources of interlinkages have been identified and studied: gas-to-power, power-to-gas and hybrid consumption technologies (e.g. hybrid heat pumps). The screening methodology includes criteria related to each of these interlinkages.
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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