首页|Reducing CO2 Emissions with the Aid of Machine Learning
Reducing CO2 Emissions with the Aid of Machine Learning
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NSTL
Whether it's in politics, civil society, or business, all agree that the industry must become greener. Yet the steel industry, in particular, is faced with a mammoth task. The share of global CO2 emissions attributed to the steel and aluminum industry stands at around 7%. Every year, 4.4 billion tons of CO2 are emitted by steel producing companies. SMS group believes it has a responsibility to bring about the transformation to green steel production. At the same time, businesses want to improve production efficiency, make optimal use of their plant's capacity, increase their product quality, reduce emissions, and save energy in the process. Bernhard Steenken, CEO of SMS digital GmbH, and Friedrich Liicking, Chief Technology Officer, explain to Santosh Mahanti, Chief Editor of Iron & Steel Review, how they intend to employ digital applications to drive this transformation.
NSTL
