Optimizing engineering strategies for delayed coking applications: A machine learning-based multi-objective framework

doi:10.1016/j.jclepro.2025.146093

Optimizing engineering strategies for delayed coking applications: A machine learning-based multi-objective framework

2025-07-07

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DOI：10.1016/j.jclepro.2025.146093

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• Develop smart optimization system for residue oil conversion. • Combine industrial and mechanistic data to solve optimization challenges. • Conduct lifecycle assessment to evaluate optimized processes. • Address high-dimensional nonlinear optimization via hybrid modeling framework.

Optimizing engineering strategies for delayed coking applications: A machine learning-based multi-objective framework

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