Electricity and Heat Demand in Steel Industry Technological Processes in Industry 4.0 Conditions

The publication presents heat and electricity management in the Polish steel industry. The paper is based on actual data on heat and electricity consumption and intensity by processes in the steel industry in Poland in Industry 4.0 conditions. Two steel production processes are used in Poland: EAF Electric Arc Furnace and BOF Basic Oxygen Furnace. The analysis is an analysis of actual data is used to characterise the electricity and heat consumption by processes in the Polish steel industry. The analysis shows that the EAF technology is always more electricity intensive and the BOF technology more heat intensive. On the basis of conducted analysis, it can be concluded that pro-environmental innovations in the steel industry should first aim to reduce the electricity consumption of EAF technology and the heat consumption of BOF. An analysis of data for Poland for the period 2004–2020 shows that both cases occurred. The study shows that the heat consumption of BOF technologies has been steadily decreasing since 2010, and the electricity consumption of EAF technologies has been decreasing throughout the period under review. It can be concluded from this that the Polish steel industry is adapting to pro-environmental requirements and, through the introduction of technological innovations, is moving towards the concept of sustainable steel production according to green steel principles. The decrease in energy intensity (means electricity) of steel produced according to EAF technology is an important issue, as the high energy intensity of EAF processes affects the overall energy intensity of the steel production in Poland. In the future, the use of new innovative technological solutions, including solutions based on Industry 4.0 principles, should help the Polish steel industry to further reduce the level of electricity and heat consumption. The driving force behind the investment is the boom in the steel market. The authors made a short-term forecasts of steel production (2022–2025). The annual forecasts determined and analyses made were used to determine the heat and energy consumption of the Polish steel industry up to 2025.

[1]  B. Kriström,et al.  Paying a Premium for “Green Steel”: Paying for an Illusion? , 2022, Journal of Benefit-Cost Analysis.

[2]  L. Cedola,et al.  Assessment of a multistep revamping methodology for cleaner steel production , 2022, Journal of Cleaner Production.

[3]  A. Mallett,et al.  Green transformation in the iron and steel industry in India: Rethinking patterns of innovation , 2022, Energy Strategy Reviews.

[4]  B. Gajdzik,et al.  An Econometric Model of the Operation of the Steel Industry in POLAND in the Context of Process Heat and Energy Consumption , 2022, Energies.

[5]  U. Krupp,et al.  “Alloy and process design of forging steels for better environmental performance” , 2022, Sustainable Materials and Technologies.

[6]  C. Breyer,et al.  Trends in the global steel industry: Evolutionary projections and defossilisation pathways through power-to-steel , 2022, Journal of Cleaner Production.

[7]  W. Gale,et al.  Policy and pricing barriers to steel industry decarbonisation: A UK case study , 2022, Energy Policy.

[8]  M. Hekkert,et al.  How key-enabling technologies’ regimes influence sociotechnical transitions: The impact of artificial intelligence on decarbonization in the steel industry , 2022, Journal of Cleaner Production.

[9]  Giulia Claudia Leonelli.  Carbon Border Measures, Environmental Effectiveness and WTO Law Compatibility: Is There a Way Forward for the Steel and Aluminium Climate Club? , 2022, World Trade Review.

[10]  S. Digiesi,et al.  Minimum Emissions Configuration of a Green Energy–Steel System: An Analytical Model , 2022, Energies.

[11]  O. Zhdaneev,et al.  Development of electrolysis technologies for hydrogen production: A case study of green steel manufacturing in the Russian Federation , 2022, Environmental Technology & Innovation.

[12]  M. Assadi,et al.  Decarbonizing primary steel production : Techno-economic assessment of a hydrogen based green steel production plant in Norway , 2022, Journal of Cleaner Production.

[13]  Mabrook S. Al-Rakhami,et al.  An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning , 2022, Complex..

[14]  K. Turoń.  From the Classic Business Model to Open Innovation and Data Sharing—The Concept of an Open Car-Sharing Business Model , 2022, Journal of Open Innovation: Technology, Market, and Complexity.

[15]  T. Małysa.  Application of Forecasting as an Element of Effective Management in the Field of Improving Occupational Health and Safety in the Steel Industry in Poland , 2022, Sustainability.

[16]  B. Gajdzik.  How Steel Mills Transform into Smart Mills: Digital Changes and Development Determinants in the Polish Steel Industry , 2022, EUROPEAN RESEARCH STUDIES JOURNAL.

[17]  G. Andonovski,et al.  Comparison of data-based models for prediction and optimization of energy consumption in electric arc furnace (EAF) , 2022, IFAC-PapersOnLine.

[18]  Kun Hu,et al.  The dynamic evaluation and optimization model for steel enterprise’s energy flow network operations , 2022, Energy Reports.

[19]  B. Gajdzik,et al.  Energy Intensity of Steel Manufactured Utilising EAF Technology as a Function of Investments Made: The Case of the Steel Industry in Poland , 2021, Energies.

[20]  Shuai Liu,et al.  Multi-energy synergistic optimization in steelmaking process based on energy hub concept , 2021, International Journal of Minerals, Metallurgy and Materials.

[21]  B. Gajdzik,et al.  Transitioning of Steel Producers to the Steelworks 4.0—Literature Review with Case Studies , 2021, Energies.

[22]  I. Škrjanc,et al.  The Influence of Electric-Arc-Furnace Input Feeds on its Electrical Energy Consumption , 2021, Journal of Sustainable Metallurgy.

[23]  Daniel Jugend,et al.  How can open innovation contribute to circular economy adoption? Insights from a literature review , 2021, European Journal of Innovation Management.

[24]  S. Pacca,et al.  Carbon reduction potential and costs through circular bioeconomy in the Brazilian steel industry , 2021 .

[25]  B. Gajdzik,et al.  Digitalisation and Innovation in the Steel Industry in Poland—Selected Tools of ICT in an Analysis of Statistical Data and a Case Study , 2021, Energies.

[26]  W. Sroka,et al.  Assessing the implementation of the circular economy in the EU countries , 2021 .

[27]  L. Kulay,et al.  Verifying the environmental and energy feasibility of potential improvement actions in the steel production chain in Brazil , 2021, Journal of Sustainable Development of Energy, Water and Environment Systems.

[28]  B. Gajdzik,et al.  Resource Intensity vs. Investment in Production Installations—The Case of the Steel Industry in Poland , 2021, Energies.

[29]  B. Gajdzik,et al.  Influence of the COVID-19 Crisis on Steel Production in Poland Compared to the Financial Crisis of 2009 and to Boom Periods in the Market , 2021, Resources.

[30]  Bożena Gajdzik,et al.  Sustainable Development and Industry 4.0: A Bibliometric Analysis Identifying Key Scientific Problems of the Sustainable Industry 4.0 , 2020, Energies.

[31]  Shanshan Wang,et al.  Environmental impact evaluation of an iron and steel plant in China: Normalized data and direct/indirect contribution , 2020 .

[32]  Surajit Bag,et al.  Relationships between industry 4.0, sustainable manufacturing and circular economy: proposal of a research framework , 2020 .

[33]  B. Gajdzik,et al.  Identification of Energy Efficiency Trends in the Context of the Development of Industry 4.0 Using the Polish Steel Sector as an Example , 2020, Energies.

[34]  Antonio Sartal,et al.  The sustainable manufacturing concept, evolution and opportunities within Industry 4.0: A literature review , 2020 .

[35]  Igor Škrjanc,et al.  Optimization of the Electric Arc Furnace Process , 2019, IEEE Transactions on Industrial Electronics.

[36]  J. Yun,et al.  Micro- and Macro-Dynamics of Open Innovation with a Quadruple-Helix Model , 2019, Sustainability.

[37]  C. Cormos,et al.  Assessing the environmental impact of an integrated steel mill with post-combustion CO2 capture and storage using the LCA methodology , 2019, Journal of Cleaner Production.

[38]  Jinglan Hong,et al.  Life cycle assessment and water footprint evaluation of crude steel production: A case study in China. , 2018, Journal of environmental management.

[39]  B. Gajdzik,et al.  Forecasting-Scenario-Heuristic method proposal for assessment of feasibility of steel production scenarios in Poland – Managerial implications for production engineering , 2018, Archives of Civil and Mechanical Engineering.

[40]  He Xu,et al.  Life-cycle assessment for coal-based methanol production in China , 2018 .

[41]  Valentina Colla,et al.  Electric energy consumption and environmental impact in unconventional EAF steelmaking scenarios , 2017 .

[42]  Mrigank Tiwari,et al.  PRODUCTION OF GREEN STEEL THROUGH GREEN MANUFACTURING USING MOST INNOVATIVE GREEN AND CLEANER TECHNOLOGY , 2017 .

[43]  Liang Zhao,et al.  Cost and potential of energy conservation and collaborative pollutant reduction in the iron and steel industry in China , 2016 .

[44]  Ulku Yetis,et al.  The environmental impacts of iron and steel industry: a life cycle assessment study , 2016 .

[45]  Thomas Echterhof,et al.  Heat recovery from EAF off-gas for steam generation: analytical exergy study of a sample EAF batch , 2016 .

[46]  Ilkka Kauranen,et al.  Open innovation in SMEs: a systematic literature review , 2016 .

[47]  Florens Flues,et al.  An analysis of the economic determinants of energy efficiency in the European iron and steel industry , 2015 .

[48]  Raja Ariffin Raja Ghazilla,et al.  A comprehensive review on energy efficient CO2 breakthrough technologies for sustainable green iron and steel manufacturing , 2015 .

[49]  Maria T. Johansson.  Improved energy efficiency within the Swedish steel industry—the importance of energy management and networking , 2015 .

[50]  N. Foss,et al.  Business models for open innovation: Matching heterogeneous open innovation strategies with business model dimensions , 2015 .

[51]  Mokter Hossain.  A review of literature on open innovation in small and medium-sized enterprises , 2015 .

[52]  B. Gajdzik,et al.  Environmental aspects of innovation and new technology implementation in metallurgy industry , 2015 .

[53]  I. Sohn,et al.  Effect of Hot Metal Utilization on the Steelmaking Process Parameters in the Electric Arc Furnace , 2015 .

[54]  Il Sohn,et al.  Review of Innovative Energy Savings Technology for the Electric Arc Furnace , 2014 .

[55]  B. Gajdzik,et al.  Coopetition as a development stimulator of enterprises in the networked steel sector , 2014 .

[56]  B. Gajdzik,et al.  Autonomous and professional maintenance in metallurgical enterprise as activities within total productive maintenance , 2014 .

[57]  I. D. Paul,et al.  A Review on Green Manufacturing: It's Important, Methodology and its Application☆ , 2014 .

[58]  Hao-Chen Huang,et al.  Overcoming organizational inertia to strengthen business model innovation , 2013 .

[59]  Mateja Drnovsek,et al.  OPEN INNOVATION IN SLOVENIA: A COMPARATIVE ANALySIS OF DIFFERENT FIRM SIzES , 2013 .

[60]  Dorota Burchart-Korol,et al.  Life cycle assessment of steel production in Poland: a case study , 2013 .

[61]  B. Gajdzik,et al.  Assessment of environmental aspects in a metallurgical enterprise , 2012 .

[62]  Katarzyna Grzybowska,et al.  Example models of building trust in supply chains of metalurgical enterprises , 2012 .

[63]  B. Gajdzik.  COMPREHENSIVE CLASSIFICATION OF ENVIRONMENTAL ASPECTS IN A MANUFACTURING ENTERPRISE , 2012 .

[64]  Mansoor Barati,et al.  Energy recovery from high temperature slags , 2011 .

[65]  B. Gajdzik,et al.  Environmental aspects, strategies and waste logistic system based on the example of metallurgical company , 2009 .

[66]  M. Huijbregts,et al.  Normalisation in product life cycle assessment: an LCA of the global and European economic systems in the year 2000. , 2008, The Science of the total environment.

[67]  Jong de Jpj,et al.  Open innovation in SMEs : trends, motives and management challenges , 2009 .

[68]  Christopher L.E. Swartz,et al.  Dynamic optimization of electric arc furnace operation , 2007 .

[69]  J. Henkel.  Selective revealing in open innovation processes: the case of embedded Linux (gekürzte Version) , 2006 .

[70]  Ian K. Craig,et al.  Economic evaluation and design of an electric arc furnace controller based on economic objectives , 2004 .

[71]  J.-P. Birat,et al.  Innovation paradigms for the steel industry of the 21st Century. Future directions for steel industry and CC , 2002 .

[72]  S. Banerjee.  Corporate environmental strategies and actions , 2001 .

[73]  J. P. Birat,et al.  Sustainable steelmaking paradigms for growth and development in the early 21st Century , 2001 .