RT Conference Proceedings
T1 Optimizing Cement Kiln Operation with Expert Systems.
A1 Fernández Gassó, Raimundo
A1 Sevilla-Hurtado, Lorenzo
A1 Cañero-Nieto, Juan Miguel
K1 Hornos de cemento
K1 Industria del cemento
AB The optimization of cement kilns presents a significant challenge for the industry, where achieving operational efficiency and sustainability is paramount. This study introduces a Kiln Expert System (KES) that leverages symbolic artificial intelligence, real-time data analysis, and adaptive algorithms to dynamically stabilize key variables such as calciner temperature and oxygen levels. By incorporating a higher proportion of alternative fuels (ATFs), KES not only reduces variable costs but also minimizes the carbon footprint and strengthens the competitive positioning of operations.Deployed in a facility with a five-stage preheater and a multistage calciner, the KES fine-tunes the combustion parameters in real time to maintain high production standards, improve performance, and adapt to changing operational conditions. This innovative approach demonstrates how AI-driven systems can transform process management by enabling precise control, optimizing resource use, and aligning industrial practices with environmental goals.
PB Sociedad de Ingeniería de Fabricación (SIF)
YR 2025
FD 2025-06-18
LK https://hdl.handle.net/10630/45288
UL https://hdl.handle.net/10630/45288
LA eng
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 7 abr 2026