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STEEL + TECHNOLOGY 04/2019 EXTRACT

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<strong>STEEL</strong> <strong>TECHNOLOGY</strong> | 49<br />

From liquid steel to rolling<br />

Concepts and applications for higher<br />

efficiency and zero-waste<br />

To support the goal of sustainability, Danieli has expanded the portfolio of “green technologies.” Several energysaving<br />

and recovery processes, zero-waste and safety concepts have been developed over recent decades.<br />

Sustainability principles and<br />

guidelines<br />

In metals production “green technologies”<br />

are those that reduce emissions, waste<br />

by-products and resource consumption.<br />

Resources represent costs and so reducing<br />

the intake of raw materials and energy<br />

provides economic advantages to metals<br />

producers, but it also has benefits in terms<br />

of emissions reduction: gaseous (CO 2 ), liquid<br />

(dirty water), and solid emissions (slag).<br />

There also are maintenance advantages,<br />

as reducing resource consumption will limit<br />

intervention and the reuse of old equipment<br />

reduces the requirement for new<br />

resources.<br />

Personnel training and risk-analysis will<br />

limit failures or accidents, which represent<br />

costs both in terms of materials and of<br />

human beings. Also, we study start-ups<br />

and shut-downs because often these follow<br />

very un-optimized paths, in order to<br />

minimize consumption and equipment<br />

wear, to abate costs and to cut emissions<br />

and resource waste.<br />

Developing “green” production<br />

processes<br />

From conceptual modeling to the prototype,<br />

the design of new equipment relies<br />

more and more on computational modeling.<br />

CFD explores new configurations,<br />

DoE reduces the number of experiments,<br />

statistical tools transform sparse data into<br />

information, and predictive models convert<br />

observations into know-how.<br />

Environmental constraints can be implemented<br />

in these models like any other process<br />

parameters. For example, the Acou-<br />

Stack process was optimized by means of<br />

detailed CFD modelling.<br />

Increased process efficiency directly<br />

supports decreasing energy and resources.<br />

Machine-learning tools, using databases<br />

of failures, procedures or maintenance,<br />

have proven to be a valid aid to<br />

increasing performance in complex processes.<br />

The most notable new examples of<br />

Danieli green technologies that have<br />

resulted in new steelmaking technologies<br />

are the Energiron process, for reduction of<br />

iron ore using hydrogen, to minimize carbon<br />

emissions; and the MI.DA. concept<br />

for Endless Casting and Rolling, with low<br />

CapEx and OpEx, to serve regional markets.<br />

Resources for “green” research<br />

Model predictive control, machine leaning,<br />

and IoT are some ways to transfer research<br />

teams’ experience into customer operators,<br />

with adequate training to make the<br />

most of it. More often, research projects<br />

are followed by skilled employees in cooperation<br />

with the most specialized universities,<br />

as in the development of low NO x<br />

burners, or water-oil emulsion lubricants<br />

for aluminum cold-rolling.<br />

Figure 1. Danieli Automation dashboard for Energiron DRI plant (Picture: Danieli)<br />

Author: Rolando Paolone, Chief Technology Officer, Danieli SpA, Buttrio<br />

(UD), Italy – Contact: sustainable-technologies@danieli.com<br />

<strong>STEEL</strong> + <strong>TECHNOLOGY</strong> 1 (<strong>2019</strong>) No. 4

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