Modelling and analysis of sub-national grid infrastructure to 2050
Artelys is looking for an intern to study the need for future sub-national electricity, gas and hydrogen infrastructures in order to reach the objective of carbon neutrality in 2050 on a European scale.
Artelys is a fast-growing company specialising in optimisation, decision support and modelling. With a high level of expertise in quantitative techniques, its engineers and consultants design and implement solutions in a wide range of sectors such as energy, transport and logistics.
In particular, Artelys is developing the Artelys Crystal software suite, whose ambition is to position itself as a world leader in modelling and optimisation solutions for energy systems. Crystal software enables Artelys’ clients to optimise large electrical systems (Crystal Super Grid), to optimise energy production and sales strategies (Crystal Energy Planner) or to analyse the impact of energy policies at local level (Crystal City).
The European energy context is undergoing a rapid and profound change. The arrival on the electricity markets of significant quantities of energy from renewable sources (RES), partly decentralised and cheap, offers many economic prospects for contributing significantly to the decarbonisation of the electricity system.
In the longer term, the deployment of renewable energies could also lead to the development of other technologies allowing the creation of synergies between different energy vectors and the decarbonisation of other sectors (transport, building, industry) in a direct or indirect way via the conversion of green electricity into hydrogen, synthetic methane or other synthetic fuels.
Determining future infrastructure investments and the optimal balance between the different energy carriers by 2050 depends very much on the RES potentials, their location within countries, the availability of existing infrastructure and a fine representation of future energy consumption centres. This requires modelling approaches that combine a very fine technological, geographical and temporal granularity with advanced optimisation algorithms to address the high level of complexity.
The intern will work on the development and application of the METIS model developed on behalf of the European Commission. Using METIS, the intern will study the future sub-national electricity, gas and hydrogen infrastructure needs by 2050 in view of supporting the 2050 climate neutrality objective. The intern will be part of a team of modelling engineers and economic analysts specialising in the energy sector. In close collaboration with the other team members, the intern will:
- Participate in the construction of new multi-energy prospective scenarios.
- Contribute to enriching the models used by Artelys to simulate and optimise energy system operations.
- Contribute to the analysis of prospective case studies.
- Contribute to the writing of study reports and to interactions with the client.
In particular, the trainee will take part in a METIS study for the European Commission on the analysis of the evolution of the energy system of Member States and the role of coupling between energy carriers. In particular, he/she will contribute to the reflections on how to model the following aspects of the European energy system:
- Automated disaggregation of national data (production, demand, storage etc.) to the NUTS1 level
- Realistic representation of sub-national infrastructure at the NUTS1 level (approximation of physical constraints, constraints on the conversion of gas pipelines to hydrogen pipelines)
- Unit representation of LNG terminals and their capacity to import biomethane and hydrogen; representation of historical operational constraints.
Candidates can refer to the studies published by Artelys to get a first idea of the type of projects on which the intern will be asked to work.
You are interested in the profound transformations of the electrical system and have a good knowledge of mathematical modelling.
You would like to put your technical skills in mathematics/computing to good use in quantitative economic analyses of the energy system.
You are curious, rigorous and passionate, and show initiative and imagination. You have a sense of teamwork.
- Knowledge of power system economics.
- Mathematical modelling. Good knowledge of linear programming is a plus.
- Good communication and teamwork skills.
- Fluent in English.
- Experience in programming with Python.
The duration of the internship is 3 to 6 months. The internship will take place in our Paris office.
The internship may lead to a long-term job offer.
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