The terms and acronyms used are given here to make it easier to read and understand the website.
- SbD – Safety by Design
- TRL - Technology Readiness Level
- EBD – Evidence Based Decision
- MPC – Model Predictive Control
SbD – Safety by Design
SbD is the process of addressing safety issues in both the R&D (Research & Development) and design phases of technologies (e.g. nanotechnology), through the integration of hazard identification and risk assessment methods early in the design process in order to eliminate or minimise the risks of harm through the construction and life of the product being designed. It is a modifying process through received scientific evidence in order that the products where SbD is applied are safer and do not endanger the public.
TRL-Technology Readiness Level
Technology Readiness Levels (TRLs) are indicators of the maturity level of particular technologies. This measurement system provides a common understanding of technology status and addresses the entire innovation chain. There are nine technology readiness levels; TRL 1 being the lowest and TRL 9 the highest.
Technology Readiness Levels (according to EU H2020 guideline):
TRL 1 – Basic principles observed
TRL 2 – Technology concept formulated
TRL 3 – Experimental proof of concept
TRL 4 – Technology validated in lab
TRL 5 – Technology validated in relevant environment (industrially relevant environment in the case of key enabling technologies)
TRL 6 – Technology demonstrated in relevant environment (industrially relevant environment in the case of key enabling technologies)
TRL 7 – System prototype demonstration in operational environment
TRL 8 – System complete and qualified
TRL 9 – Actual system proven in operational environment (competitive manufacturing in the case of key enabling technologies; or in space)
EBD – Evidence Based Decision
EBD is a safety philosophy which aims to develop refined and appropriate decisions on the basis of scientific evidence.
MPC – Model Predictive Control
MPC is an advanced method of process control that is used to control a process while satisfying a set of constraints. It uses a model of the system that is being analysed, to make predictions about its future behaviour.