This research group deals with the issue of territorial energy self-sufficiency, in terms of energy transition in connection with climate change, and the management/estimation of energy potential through solar, biomass, and hydraulic resources. We develop multi-disciplinary approaches combining Earth observation and modeling towards decision support for decision-makers and public policies. The scientific objectives aim at exploiting Earth observation data to meet the objectives of the energy transition, in particular the optimization of the insertion of renewable energy resources in the power grid. We develop spatio-temporal mapping methods applied to satellite images in order to model, estimate, predict the renewable energy resource, and design techno-economic and environmental optimization scenarios, control laws and management of intermittent energy in power generation systems. We apply these methods to different types of non-intermittent renewable energies (biomass, hydro).

  • Benjamin Pillot, Nadeem Al-Kurdi, Carmen Gervet, Laurent Linguet. An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale. Applied Energy, Elsevier, 2019, ⟨10.1016/j.apenergy.2019.114257⟩
  • Justine Ringard, F. Seyler, Laurent Linguet. A Quantile Mapping Bias Correction Method Based on Hydroclimatic Classification of the Guiana Shield. Sensors, MDPI, 2017, 17 (6), pp.1413. ⟨10.3390/s17061413⟩. ⟨hal-01590720⟩