The digitalgaesation methodology.
The methodology described in this project is set up in order to establish a procedure for the digitalisation of photosynthetic bioprocesses.
This is based on two pillars: process understanding and development of automatic control/optimisation strategies. The design of an automatic control system is effective if (1) there is a good understanding of the factors (inputs) that affect the response of interest (e.g., growth), (2) if we can model and quantify the input-output dynamics, (3) if we can measure or estimate consistently the inputs and outputs in an industrial facility, and eventually (4) if we permanently adjust process inputs to reach and maintain optimal operating conditions. Complex industrial systems are characterised by the tight interaction between different phenomena occurring at different time and space scales.
Recognising this allows setting up effective strategies for moving across different complexity levels and scales. The proposal aims at framing issues and solution approaches that are required to set up effective automatic control strategies. The WPs are structured according to this paradigm and aim at exploring the key challenges of the problem being investigated, thus allowing the ESRs to experience a wide range of challenging situation in a wide research space.