DISIRE - Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock
Dates: January 2015 – February 2018
Leader: Luleå University of Technology
Grant agreement number: 636834
The DISIRE project has been inspired by the real existing needs of multiple industrial sectors, including the world leading industrial partners in the non-ferrous, ferrous, chemical and steel industries that are highly connected and already affiliated with the SPIRE PPP and its objectives
With the DISIRE project the properties of the raw materials or product flows will be dramatically integrated by their transformation in a unique inline measuring system that will extend the level of knowledge and awareness of the internal dynamics of the undergoing processes taking place during transformation or integration of raw materials in the next levels of production. In this approach, the Integrated Process Control system, instead of having external experts to tune the overall processes, based on the DISIRE concept will enable the self reconfiguration of all the production lines by the produced products itself.
To evolve in terms of sustainability the industrial process of several industrial sectors (non-ferrous, ferrous, chemical and steel industries), by means of energy and resource efficiency.
Specifically, this will be achieved thanks to the technological breakthroughs and concepts developed by the DISIRE technological platform in the field of Industrial Process Control (IPC), such as oxygen sensoring on flue gases, computational fluids-dynamics simulations (CFD) of the combustion and Imaging Diagnosis techniques of natural gas flames patterns.
DISIRE will establish a Process Analyser Technology (PAT), capable of defining quality and performance requirements, that for the first time in the process industry, will be able to be directly applied on the physical properties of the developed products
CIRCE leads the works to improve the efficiency combustion in cracking furnaces by means of an advanced characterization of natural gas flames.
The main tasks and outcomes expected are the following:
Analysis of suitable O2 sensors for cracking furnaces characteristics
CFD results regarding the optimal localization in furnace for O2 sensoring
Flame and combustion characterization by means of optical non-invasive instrumentation.
Developments of algorithms for control combustion
Optimization of the combustion efficiency in cracking furnaces.
Implementation of control systems based on O2 sensoring and optical non- invasive instrumentation