Burner design
Burner design will be carried out according to the
best available technology design criteria, including CFD simulations for
industrial burners. A completely new approach is additionally required for an
integrated design of parts and sensors. Additive manufacturing processes allow
the industrial production of metal parts with arbitrarily complex shapes, which
cannot be obtained by traditional manufacturing operations. This represents a
relevant expansion of the degrees of freedom in the engineering design of
critical burner components, e.g., heat recuperator by allowing to achieve more
efficient heat transfer.
Manufacturing
A modular production of
critical metal components after an optimized design of functional shapes not
otherwise achievable through usual manufacturing processes will be carried out
by means of AM technologies. Innovative assembling techniques of AM parts will
be implemented. The manufacturing process will be selected amongst the
available ones considering material availability, shape restrictions, and size.
The activity will be carried out in parallel to the burner design providing aid
to through the defining of the design for AM criteria. The manufacturing phase
will also identify the feasibility of the joint designs employing the processes
singularly or in a combined form.
Control and proces optimization
In the frame of advanced combustion techniques featuring
very low pollutant emissions, such as flameless and regenerative combustion,
integrated sensors of different types (optical, chemical and mechanical) can
provide valuable information at the level of each single burner unit, which are
currently not available. These currently unobserved quantities can be exploited
in existing combustion control systems by suitably correcting process
parameters, i.e., air-to-fuel ratio, in order to improve combustion quality, to
maximize thermal homogeneity, to minimize pollutant emissions resulting from
changes in combustion regime in flameless conditions and those produced during
the ignition transients in regenerative combustion systems, to adapt process
parameters to instantaneous fluctuations in fuel composition in the case of
multi-fuel combustion system, and also to monitor the health of relevant and
critical burner components (e.g. integrated heat exchanger). By introducing a pervasive sensor network on
each burner unit and post-processing the data streams by means of edge
computing devices, it is believed that relevant operational cost saving (fuel
consumption and maintenance) can be achieved, without sensibly increasing the
burner price. Furthermore, process quality and safety improvements in
steelmaking are also expected from the exploitation of more information
gathered from the field.
The expected improvement of the process performance must be
continuously monitored, also identifying suitable KPI (Key Performance
Indicators) obtained by Data Analytics algorithms, in order to make easier and
more effective, also through specific HMI (Human Machine Interfaces), the
possibility of taking the necessary prompt actions for maintaining process
performance to the top level.
Operating life and maintenance
In the same way specific sensors of different types
can provide valuable information for optimizing in real time thermal process,
other sensors dedicated to a continuous monitoring of the health state of the
entire burner and particularly of its critical parts, can provide fundamental
information for optimizing maintenance activities also increasing the safety
level of all the operations. Anticipating failures, according to their severity, always means avoiding unexpected
huge costs for restructuring the plant and for the missed production. The
implementation of solutions of PHM (Prognostic and Health Management) plays a growing role and the
prognostic process is considered today as one of the main levers in the
research of global performance. Predictive
Maintenance is one of the principal methods adopted for this purpose. Health
state of the burners can be continuously monitored also by identifying KHI (Key
Health Indicators) obtained by Data Analytics algorithms in order to simplify
the interaction of the operators with the plant.
Operating life of burners early
begins during commissioning on the furnace. A faster commissioning of the
combustion system could be envisaged for example through the support of
Industry 4.0 technologies like Augmented Reality which can lead also to a higher safety level during the
operations.
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