BUSINESS PROCESS MANAGEMENT: FORECASTING THE MARKET FOR DECARBONIZATION AND RELATED PRODUCTS USING THE LCA METHOD

The aim of this work is to manage business processes based on the forecasting of the decarbonization market and related products. The methods used in this study include general scientific methods (analysis and synthesis, induction and deduction), theoretical research methods (abstraction, theoretical modeling. The importance of by-products in the metallurgical industry is demonstrated, including dust and sludge, hot rolling scale, iron ore, fine fractions of agglomerate, pitch, and sulfur. Based on the dynamic trend of retrospective data on steel production from the World Steel Association for the period 2003-2022, trends were analyzed and forecast indicators were developed. LCA inventory data (using OpenLCA software), calculated using the Environmental Footprint method (Mid-point indicator) considering a projected steel volume of 2,231 thousand tons, assessed environmental impacts. The results indicated the greatest impact on environmental indicators. The forecasted capacity of potential decarbonization markets and related products was determined. The most significant segments of the global steel market for by-products will be: sludge, tails, stockpiled.