Systems for smart energy management (SYNERGY)

The ENERGY strategic axis aims at leveraging LAAS multidisciplinary research skills to tackle the challenges of energy transition, from component to complex systems such as smart grids. It involves 8 research departments of the laboratory (DO, GE, HOPES, IC, MNBT, RC, ROB and TICS) and takes advantage of three experimental platforms: Georges GIRALT energy-optimized building (IDEA et I2C services), RENATECH technology platform (TEAM service) and the characterization platform (I2C service).

Georges Giralt energy-optimized buildingRENATECH technology platform

Characterization platform

Within this framework, research activities focus on the development of key technological building blocks and a global approach for energy management. They are organized in two main research topics from microsystem to smart grid:

  •    Efficient energy generation and processing
  •    Smart energy management

The first topic, focused on energy efficiency improvement, takes advantage of new materials and nanostructuration techniques potentialities to propose innovative device concepts:

  • New generation of power devices based on wide bandgap semiconductors (GaN, diamond),
  • III-V nanowire-based CMOS technology,
  • III-V nanowire-based thermogenerator,
  • High-efficiency III-V solar cells,
  • Integrated micro-supercapacitors
  • RF energy harvesting.

Within the framework of the Energy axis, convergences between components are contemplated: integrated optical command of power devices, photovoltaic/thermoelectric co-generation, coupling of microstorage with energy sources (photovoltaic or/and thermoelectric).

To tackle the challenges of smart energy management, the Energy axis has chosen a scenario whose long-term objective is to reach the goal of   “100% renewable energies workday” including mobility and energy autonomy.

In a first step, we focus on the energy autonomy of G. Giralt building and on the development of the required technological building blocks. In addition to the additional deployment of renewable energies and/or storage technologies, this objective requires to develop an “Internet of Energy” whose architectures, both hardware and software, must be modular and controlled in a distributed way to meet scaling challenges. The long-term goal is a global and integrated vision of the various models (weather forecast, building, sources, etc) and algorithms (diagnosis, optimization, security, etc) within a M2M communication platform to implement the required optimized energy management. Hereafter some of the proposed research approaches:

  • Hybrid DC/AC microgrid based on a modular and distributed approach
  • GaN-based distributed architectures for concentrated photovoltaic systems (CPV) and associated command
  • Dynamic thermal modeling of buildings and thermal-electrical coupling
  • Large-scale software architecture: dynamic management of services, from deployment to composition and at long-term, integration of real-time constraints in software architectures for the Internet of Things (IoT)
  • Combinatorial optimization algorithms, mono and multi-objectives with integration of uncertainties for optimized management
  • Modeling of energy sources and loads: piecewise linear bounding of non linear energy conversion functions, extended formulations and decomposition models
  • Model scaling: new ontologies and coupling with graph grammars, autonomic computing based on multi-models (energetic model, temporal model, etc)
  • Data management and usage: data semantic enrichment and in the long-term, multi-level approach for data distribution and processing as close as possible to decision: towards edge computing
  • Global monitoring and diagnosis of unexpected energy overconsumptions (based on data and models)
  • Cybersecurity: dynamic intrusion tolerance protection mechanisms to face evolving threats

These multidisciplinary approaches are already enforced within the framework of transverse internal projects: Open Platform for ADREAM building (OPA) and Batterie dans la planification et le contrôle des actions à effectuer par le robot (BAT-ROBOT). Recent research activities also include the OwnWall project which studies modular electronics for rural electrification and multi-tier scalable rural micro-grids ( Moreover, LAAS-CNRS is  an active partner of neOCampus project ( from University Paul Sabatier via co-supervised Ph.D. theses with CIRIMAT, IRIT and LAPLACE laboratories on the topic of sustainable campus. Several of these projects will develop demonstrators in Georges GIRALT building. At international level, LAAS-CNRS is member of GDRI SINERGIE with NTU Singapore and is involved in two international joint laboratories: Wide-Lab with CNM Barcelona (Spain) and NextPV with RCAST laboratory from the University of Tokyo (Japan).


Contact: Marise BAFLEUR