Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Section: Application Domains

Software development

ODIN

We are developing ODIN , a software platform for the supervision of bioreactors. ODIN [76] supports the smart management of bioreactors (data acquisition, fault diagnosis, automatic control algorithm,...). This C++ application (working under Windows and Linux) is structured in order to rapidly develop and deploy advanced control algorithms through the use of a Scilab interpreter. It also contains a Scilab-based process simulator (developed jointly with Inria Chile) which can be harnessed for experimentation and training purposes. ODIN is made of different modules which can be distributed along different platforms, and which interact through CORBA.

It has been implemented and validated with four different applications in four different laboratories. A licence with the start-up BioEnTech was signed for remote monitoring of anaerobic digesters.

In@lgae

The simulation platform In@lgae is jointly developed with the Inria Ange team. Its objective is to simulate the productivity of a microalgae production system, taking into account both the process type and its location and time of the year. A first module (Freshkiss) developed by Ange computes the hydrodynamics, and reconstructs the Lagrangian trajectories perceived by the cells. Coupled with the Han model, it results in the computation of an overall photosynthesis yield. A second module is coupled with a GIS (geographic information system) to take into account the meteorology of the considered area (any location on earth). The evolution of the temperature in the culture medium together with the solar flux is then computed. Finally, the productivity in terms of biomass, lipids, pigments together with CO2, nutrients, water consumption, ... are assessed. The productivity map which is produced can then be coupled with a resource map describing the availability in CO2 nutrients and land.