From an observatory approach to modeling and optimization paradigms for a socio-technical approach for Energy Transition
In the context of the current climate and environmental crisis, energy production, distribution and consumption activities have a major impact. Thus the international energy agency attributes more than 70% of carbon impacts on a global scale to them, and all institutional actors (ADEME, AIE, RTE, etc.), as well as the IPCC, agree on the need to mobilize, in addition to technological levers such as decarbonization and technical efficiency, socio-technical levers such as energy sufficiency or flexibility of energy consumption. In this context we propose a talk with the following outline:
• A reminder of this climatic, environmental and energy context.
• A definition of the notions of energy sufficiency and flexibilities in their social and technological dimensions and the way in which the importance of these levers was revealed and imposed during the 2022 and 2023 energy crisis, notably with the risk criticism of load shedding or even blackout.
• How these socio-technical issues call for the definition of an inter-disciplinary modeling and optimization approach at the interfaces of human sciences, economics, environmental sciences, systems sciences and energy technology. We will try to characterize this science by detailing the deployment of new concepts that it mobilizes:
→ Firstly for the definition and assembly of socio-technical energy systems and their characterization through new experimental devices and protocols, mobilizing the concepts of Living-Lab, and field studies thanks to an “observatory approach”: these allow to collect data and information about the nature of technical systems, but also elements relating to the acting between stakeholders or the potential for energy sufficiency or flexibility at the interface of technical issues and practices, behaviors and uses, all of which is carried out by participatory and inclusive science.
→ Then the modeling paradigms mobilized which will range from dynamic simulation, optimization, agent modeling or even energy transition stories and scenarios.
The points covered will give an overview of scientific and operational approaches to make the connection between macroscopic data and scenarios and observations, levers or obstacles from individual and local scales to collective and more global scales for studying energy transition.