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Energy Prospects, Network Management and Optimization

“GRTgaz is PREPARING for the future by developing smart grids, exploring the place of gas in future energy mixes and preparing the steering and sizing tools of tomorrow.


(Christophe Olry, Programme Coordinator)

Contact: Christophe TASTARD.

For more information, email us via the contact section.

  • Supporting the transformation of gas transmission and distribution networks induced by the integration of renewable and low-carbon energies
  • Prepare the multi-energy coupling (gas, electricity, heat) that has become necessary for the energy transition, in particular through intelligent and dynamic management
  • Take full account of the synergies between gas, electricity and heat in tomorrow’s energy mix
  • Integrate economic, political, technological and climatic uncertainties into investment trajectories, on the one hand to obtain a mix that is more resilient to change, and on the other hand to better estimate flexibility needs
  • Improve the operational and economic performance of network management
Major challenges
Scope
  • Smart grid
  • Dynamic network modelling
  • Reverse
  • Multi-energy
  • Prospective network modelling
  • Future energy mix
  • Optimization of the dimensioning
    and infrastructure management
  • Integrate new gases into network management and sizing tools, and develop new prototypes and mathematical models
  • Develop backward stations to optimize biomethane injections into the networks
  • Have an overview of network changes
  • Carrying out multi-energy prospective studies for the year 2050
Key drivers
Looking ahead to 2030
  • Adaptation of mathematical models to the arrival of new gases. Changes in the operational use of software used by GRTgaz’s national dispatching system
  • Proposal for joint optimization of intraday flexibility management (in-line inventory) and operating costs
  • Adapting agile network management methods
  • Develop a local data exchange platform to optimize management (production forecasts, consumption, maintenance)
  • Optimization of the design of the backward stations. Analyze and test new solutions (gas-gas or gas-electricity)
  • Construction of multi-sector demand scenarios to feed prospective studies. Carrying out multi-energy prospective studies up to 2050
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