Space
The aim of EDEN ISS is to identify operation procedures for safe food production in space through adaptation, integration and demonstration of higher plant cultivation techniques.
The basic idea of EDEN ISS is to the develop an ISPR (International Standard Payload Rack)-like system for food production, integrating a controlled agricultural environment characterized by constraints which are analogue to those related to the use of the system in Space and test it on Earth.
EDEN ISS combines the disciplines of plant physiology, biochemistry and mathematical modeling with the design of key electrical and mechanical elements.
The development of an ISPR based higher plants cultivation system with a production area of 1 m2 is ambitious and challenging task. The real-time detection of microbiological contamination and the specific decontamination depending on the type and level on contamination supports the mid-term sustainability of the plants in the green house and represents a substantial step towards a reliable "food production" in orbit.
Participant in the facility design CE-study | Responsible for thermal fluid dynamics and environmental simulations | Performer of detailed CFD simulations of the environmental control
DLR German Aerospace Center, Germany | LIQUIFER Systems Group, Austria | National Research Council, Italy | University of Guelph, Canada | Alfred Wegener Institute for Polar and Marine Research, Germany | Enginsoft S.p.A., Italy | Airbus Defence and Space, Germany | Thales Alenia Space Italia S.p.A., Italy | Arescosmo S.p.A., Italy | Wageningen University and Research, the Netherlands | Heliospectra AB, Sweden | Limerick Institute of Technology, Ireland | Telespazio S.p.A., Italy | University of Florida, USA | Scientific Advisory Board (SAB)
Funding Scheme Horizon2020 | Call identifier H2020-COMPET-7-2014
42 months
March 2015 – September 2018
DLR
Lorenzo Bucchieri
13
Some of our competences in research and technology transfer
Research project
Metal Additive manufacturing is a complex operation that requires the fine-tuning of hundreds of processes parameters to obtain repeatability and a high quality design at dimensional, geometric, and structural levels. To help manufacturing companies address these challenges, AMQ_TOOLS develops an innovative quality-oriented decision support framework.
Research project
YOGA develops a semiautomated and standardized platform targeting clinical laboratories for tissue characterization by biopsy when very little material is available.