Author(s):
1. Ivan Stevović, Innovation Center of the Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Republ, Serbia
2. Mihailo Jovanović, Faculty of Management Herceg Novi, University Adriatik, Montenegro, Montenegro
3. Jelena Marković, Academy of Technical-Educational Vocational Studies Nis - Vranje Department , Serbia

Abstract:
Thermal power plants generate significant quantities of industrial by-products that represent both environmental burdens and valuable secondary resources. Fly ash, bottom ash, flue gas desulfurization gypsum, and other combustion residues frequently occupy large landfill areas, contaminate surrounding soil and groundwater, and contribute to greenhouse gas emissions. This paper presents an integrated framework for the intelligent management of thermal power plant pollutants through artificial intelligence techniques and their transformation into green construction materials. The proposed methodology combines automated waste characterization, machine learning prediction models, process optimization, and life-cycle-oriented decision support. Artificial intelligence continuously analyses physicochemical properties of industrial residues and identifies the most appropriate utilization pathways for cementitious composites, geopolymer binders, road construction materials, and carbon-mineralized products. The proposed system simultaneously minimizes environmental impacts, reduces disposal costs, decreases natural resource consumption, and increases the mechanical performance of final construction materials. The presented concept demonstrates that artificial intelligence can significantly improve production efficiency while supporting circular economy principles and industrial decarbonization strategies. The developed framework represents a comprehensive decision-support model that connects environmental protection, sustainable resource management, and intelligent manufacturing into a unified industrial ecosystem suitable for future low-carbon construction technologies.

Key words:
Polluting Substances,thermal power plants,artificial intelligence,circular economy,green construction materials.

Thematic field:
SYMPOSIUM D - Environmental and sustainable materials

Date of abstract submission:
27.07.2026.

Conference:
Contemporary Materials 2026 - Savremeni Materijali

Applied paper from author