SMS Siemag AG - Alu-web.de
SMS Siemag AG - Alu-web.de
SMS Siemag AG - Alu-web.de
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ALUMINIUM RoLLINg INDUSTRY<br />
können mittels „neuronaler Netze“ Mo<strong>de</strong>lle<br />
gebil<strong>de</strong>t wer<strong>de</strong>n, die selbstlernend die Energiedaten<br />
interpretieren. Mit <strong>de</strong>ren Hilfe lässt<br />
sich <strong>de</strong>r Energieverbrauch abbil<strong>de</strong>n und für<br />
die Zukunft vorhersagen. Eine verlässliche<br />
Vorhersage <strong>de</strong>s Energiebedarfs hilft <strong>de</strong>n Energieversorgern,<br />
auf Bedarfsschwankungen<br />
zu reagieren und dies durch günstigere Tarife<br />
zu honorieren. Alternativ können die gewonnenen<br />
Informationen für eine individuelle<br />
Beschaffungsstrategie genutzt und <strong>de</strong>r Strom<br />
direkt auf <strong>de</strong>m Energiemarkt eingekauft wer<strong>de</strong>n.<br />
Autor<br />
Dr. Jesper Mellenthin ist Projektmanager Energieeffizienz<br />
im Geschäftsbereich Elektrik und Automation<br />
bei <strong>SMS</strong> <strong>Siemag</strong> <strong>AG</strong>, Düsseldorf.<br />
also logs the product type and the quantities<br />
produced. That puts consumption and production<br />
in relation to each other and supplies<br />
key performance indicators. In turn, these indicators<br />
calculated from different measured<br />
values make it possible to compare plants or<br />
situations.<br />
If analysts do not want production data or<br />
conditions shown quantitatively in key performance<br />
indicators, they use curves instead.<br />
A curve takes account of the fact that un<strong>de</strong>r<br />
certain circumstances in the production process<br />
the key performance indicators can have<br />
different values. For example at high capacity<br />
utilisation, lower energy consumption per<br />
product unit can be achieved than during periods<br />
of low production. Combining key performance<br />
indicators with the variables means<br />
similar conditions can be compared and the<br />
various plant situations usefully evaluated.<br />
Furthermore, <strong>SMS</strong> <strong>Siemag</strong> is currently <strong>de</strong>veloping<br />
a prediction tool. Based on already<br />
saved energy data, production data and the<br />
future production plan, the tool uses ‘neuronal<br />
networks’ and self-learning to generate<br />
mo<strong>de</strong>ls that interpret the energy data. It can<br />
be used to map and predict energy consumption.<br />
A reliable prediction of energy <strong>de</strong>mand<br />
helps energy utilities react to fluctuations in<br />
<strong>de</strong>mand and offer cheaper tariffs. Alternatively,<br />
the information gained can be used for an<br />
individual sourcing strategy for direct purchasing<br />
of electricity on the energy market.<br />
Author<br />
Dr. Jesper Mellenthin is project manager Energy<br />
Efficiency in the Electrics and Automation division<br />
of <strong>SMS</strong> <strong>Siemag</strong> <strong>AG</strong> in Düsseldorf, Germany.<br />
Danieli <strong>Alu</strong>minium Technology Forum 2013<br />
Latest breakthrough technology in industrial operation<br />
B. Rieth, Meerbusch<br />
This year’s Technology Forum by Danieli<br />
was very much focused on the processing<br />
of aluminium. In a two-day symposium<br />
held at its headquarters in Buttrio<br />
in northern Italy, around 150 invited<br />
guests from the international aluminium<br />
industry were presented with the company’s<br />
latest <strong>de</strong>velopments in the sectors<br />
of rolling and processing high-gra<strong>de</strong><br />
aluminium strips and plates, extruding<br />
profiles and roll-casting aluminium rod.<br />
Other topics of the presentations were<br />
plant automation and drive technology as<br />
well as know-how support and servicing.<br />
The successful event was roun<strong>de</strong>d off by<br />
a tour of Danieli’s workshops and – as a<br />
particular highlight – a joint flight of the<br />
participants to Belgium to see the cold<br />
rolling mill supplied by Danieli Fröhling<br />
for automobile strips to Aleris in Duffel.<br />
The participants, from 73 companies<br />
in 36 countries, were given interesting<br />
insights during the event into Danieli’s<br />
latest technologies for a broad segment of<br />
the aluminium value chain.<br />
© Danieli<br />
Gianpietro Bene<strong>de</strong>tti, chairman and CEO of<br />
Danieli & C. …<br />
In his welcoming address Danieli chairman<br />
and CEO Gianpietro Bene<strong>de</strong>tti laid stress on<br />
the leading role his company has played for<br />
many years in the <strong>de</strong>velopment of the most<br />
mo<strong>de</strong>rn technologies for the metallurgical<br />
industry, that is the production and processing<br />
of steel and NF metals. The globally active<br />
company foun<strong>de</strong>d by the brothers Danieli in<br />
1914 has meanwhile become the nucleus of a<br />
worldwi<strong>de</strong> network of highly specialised companies<br />
in the sector of plant and machinery<br />
engineering, each with various core interests<br />
and each a market lea<strong>de</strong>r in its own field. With<br />
an annual turnover of some three billion euros<br />
… and Franco Alzetta, COO of Danieli & C.<br />
during their opening addresses<br />
and more than 10,000 employees worldwi<strong>de</strong>,<br />
Danieli is today one of the largest plant engineering<br />
groups in the metallurgical sector.<br />
In past years the core products of the group<br />
and hence also its main expertise and growth<br />
performance were governed almost exclusively<br />
by steel. However, the market downturns<br />
seen by steel in the more recent past,<br />
54 ALUMINIUM · 11/2013