Artificial Intelligence-Driven Approach to Optimizing Boiler Power Generation Efficiency: The Advanced Boiler Combustion Control Model
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- Xu, Wentao & Poh, Kimleng & Song, Siheng & Huang, Yaji, 2025. "Research on reducing pollutant, improving efficiency and enhancing running safety for 1000 MW coal-fired boiler based on data-driven evolutionary optimization and online retrieval method," Applied Energy, Elsevier, vol. 377(PA).
- Sang-Mok Lee & So-Won Choi & Eul-Bum Lee, 2023. "Prediction Modeling of Flue Gas Control for Combustion Efficiency Optimization for Steel Mill Power Plant Boilers Based on Partial Least Squares Regression (PLSR)," Energies, MDPI, vol. 16(19), pages 1-33, September.
- Liu, Xingrang & Bansal, R.C., 2014. "Integrating multi-objective optimization with computational fluid dynamics to optimize boiler combustion process of a coal fired power plant," Applied Energy, Elsevier, vol. 130(C), pages 658-669.
- de Oliveira Junior, Valter B. & Pena, João G. Coelho & Salles, José L. Félix, 2016. "An improved plant-wide multiperiod optimization model of a byproduct gas supply system in the iron and steel-making process," Applied Energy, Elsevier, vol. 164(C), pages 462-474.
- Filipe Neves & Armando A. Soares & Abel Rouboa, 2024. "A Comparison of Different Biomass Combustion Mechanisms in the Transient State," Energies, MDPI, vol. 17(9), pages 1-17, April.
- Sinha, Aparna & Das, Debanjan & Palavalasa, Suneel Kumar, 2023. "dClink: A data-driven based clinkering prediction framework with automatic feature selection capability in 500 MW coal-fired boilers," Energy, Elsevier, vol. 276(C).
- Yang-Kon Kim & Eul-Bum Lee, 2018. "Optimization Simulation, Using Steel Plant Off-Gas for Power Generation: A Life-Cycle Cost Analysis Approach," Energies, MDPI, vol. 11(11), pages 1-17, October.
- So-Won Choi & Eul-Bum Lee, 2022. "Contractor’s Risk Analysis of Engineering Procurement and Construction (EPC) Contracts Using Ontological Semantic Model and Bi-Long Short-Term Memory (LSTM) Technology," Sustainability, MDPI, vol. 14(11), pages 1-32, June.
- Szega, Marcin & Czyż, Tomasz, 2019. "Problems of calculation the energy efficiency of a dual-fuel steam boiler fired with industrial waste gases," Energy, Elsevier, vol. 178(C), pages 134-144.
- Rahat, Alma A.M. & Wang, Chunlin & Everson, Richard M. & Fieldsend, Jonathan E., 2018. "Data-driven multi-objective optimisation of coal-fired boiler combustion systems," Applied Energy, Elsevier, vol. 229(C), pages 446-458.
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Keywords
steel mill; steam power plant; burners; boiler combustion optimization; combustion control; by-product gases; gross heat loss prediction; advanced boiler combustion control model; machine learning; random forest; classification and regression tree;All these keywords.
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