MODELLING THE IMPACT OF INVESTMENTS ON ENERGY INTENSITY IN THE POLISH STEEL INDUSTRY AS A STEP TOWARDS INDUSTRY 4.0

1 GAJDZIK Bożena
Institution:
1 Silesian University of Technology, Gliwice, Poland, EU, bozena.gajdzik@polsl.pl
Conference:
29th International Conference on Metallurgy and Materials, Brno, Czech Republic, EU, May 20 - 22, 2020
Proceedings:
Proceedings 29th International Conference on Metallurgy and Materials
Pages:
1210-1215
ISBN:
978-80-87294-97-0
ISSN:
2694-9296
Published:
27th July 2020
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
875 views / 393 downloads
Abstract

The investments affect the development of enterprises. In the perspective of Industry 4.0, if there were no impact of the COVID-19 pandemic on economies, enterprises would continue to realize strong investment strategies. Until March 2020, steel enterprises in Poland invested in new technologies, increasing efficiency in steel production. Automation of production and automation of the storage in combination with IT technology and the Internet of Things change the steel industry in Poland. The combination of operational technology (OT) with information technology (IT) is an opportunity for steel industries around the word. One of the field of changes is energy management in steel production. Energy reduction can be achieved through active monitoring of energy consumption and an intelligent energy management system used in steel production. Realized investments until the end of 2019 in the Polish steel industry (the value of investments/ PLN million) and the energy intensity in the steel production (toe/tonne of steel) in Poland were used to build econometric models. The time series used to build econometric models covered the period from 2000 to 2019. The aim of the research was to determine whether the steel industry in Poland saves energy as investment increases, with a particular focus on the trend towards Industry 4.0 in recent years.

Keywords: Steel industry, Poland, investment, energy intensity, econometric model

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