Machine learning frameworks to accurately predict coke reactivity index

Energy Exploration & Exploitation, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 13, 2025

Precisely forecasting coke reactivity index (CRI) plays a critical role in the metallurgical industry, as it enables optimization of quality, leading to cost-effective production and efficient resource utilization. In this research, several machine learning predictive models based on extra trees, decision tree, support vector machine, random forest, multilayer perceptron artificial neural network, K-nearest neighbors, convolutional ensemble learning, adaptive boosting using dataset gathered from plant are developed predict CRI. To minimize overfitting each algorithm, K-fold cross-validation methodology is employed during training phase. The efficacy algorithm visually represented through graphical methods quantitatively evaluated performance metrics. findings indicate that maximum fluidity mean reflectance (MMR) exhibit direct correlation with CRI while being indirectly relevant moisture content, ash sulfur basicity index, plastic layer thickness, MMR. Among various evaluated, forest model emerged most accurate tool, according metrics R-squared, square error, average absolute relative error (%), numerical values 0.958, 3.718, 2.545%, respectively, for total datapoints. tool can be easily used accurately estimate without needing experimental or field data reliably.

Language: Английский

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Thermodynamic, economic, and environmental footprint assessments and optimization of an innovative biogas-driven heat integration network, producing power, cooling, and heating

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135379 - 135379

Published: March 1, 2025

Language: Английский

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Optimization of Preparation Process and Property Study of BFS-based Alkali-activated Porous Thermal Insulation Materials

Korean Journal of Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Language: Английский

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Efficient Thermal Integration Model based on a Biogas-fired Gas Turbine Cycle (GTC) for Electricity and Desalination Applications; Thermo-Economic and GA-based Optimization

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 64, P. 105492 - 105492

Published: Nov. 12, 2024

Language: Английский

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Coal thermal power plant magnetic fly ash as an accelerant for anaerobic digestion of cow dung and aloe peel residue: Optimizing the particle size under static magnetic field

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 158590 - 158590

Published: Dec. 1, 2024

Language: Английский

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Energy analysis and life cycle assessment of furfural and 5-hydroxymethylfurfural integrated biorefinery processes with heat pump-assisted reactive distillation

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134720 - 134720

Published: Jan. 1, 2025

Language: Английский

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Experimental research on the influence of wall effect on the structure of cumulated semi-cokes

Process Safety and Environmental Protection, Journal Year: 2025, Volume and Issue: 198, P. 107232 - 107232

Published: April 29, 2025

Language: Английский

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Optimizing Waste-to-Energy Conversion of Banana Peel Biomass-based Scheme using Metaheuristic Particle Swarm Optimization (PSO) Algorithm

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136427 - 136427

Published: May 1, 2025

Language: Английский

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Investigation on performance enhancement of a novel solar still using metallic fins: an experimental and 5E analysis

Clean Technologies and Environmental Policy, Journal Year: 2025, Volume and Issue: unknown

Published: May 8, 2025

Language: Английский

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Insights into thermodynamic characteristics of CO2/H2O(g) co-assist coke oven gas reforming using steel slag as heat carrier

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136512 - 136512

Published: May 1, 2025

Language: Английский

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