A production planning benchmark for real-world refinery-petrochemical complexes
🤖 AI Summary
Existing refinery-petrochemical integration planning benchmarks often deviate from industrial practice or rely on oversimplified assumptions, leading to a theory–application gap. Method: We propose the first industry-scale, demand-driven, open-source production planning benchmark, covering standalone refineries, petrochemical integration, and multi-period scenarios. We introduce a novel port-stream hybrid superstructure modeling framework and—uniquely—the delta-base characterization method for secondary processing units, grounded in historical operational data. Contribution/Results: This establishes an enterprise-level optimization benchmark paradigm balancing realism and reproducibility. We release three real-world case studies, fully open-sourced model formulations, and parameters. Validation via MILP solving, ablation studies, and performance analysis demonstrates that the delta-base method significantly improves computational efficiency while preserving solution accuracy—bridging a critical gap between theoretical research and industrial deployment.
Application Category
📝 Abstract
To achieve digital intelligence transformation and carbon neutrality, effective production planning is crucial for integrated refinery-petrochemical complexes. Modern refinery planning relies on advanced optimization techniques, whose development requires reproducible benchmark problems. However, existing benchmarks lack practical context or impose oversimplified assumptions, limiting their applicability to enterprise-wide optimization. To bridge the substantial gap between theoretical research and industrial applications, this paper introduces the first open-source, demand-driven benchmark for industrial-scale refinery-petrochemical complexes with transparent model formulations and comprehensive input parameters. The benchmark incorporates a novel port-stream hybrid superstructure for modular modeling and broad generalizability. Key secondary processing units are represented using the delta-base approach grounded in historical data. Three real-world cases have been constructed to encompass distinct scenario characteristics, respectively addressing (1) a stand-alone refinery without integer variables, (2) chemical site integration with inventory-related integer variables, and (3) multi-period planning. All model parameters are fully accessible. Additionally, this paper provides an analysis of computational performance, ablation experiments on delta-base modeling, and application scenarios for the proposed benchmark.
Problem
Research questions and friction points this paper is trying to address.
Lack of practical benchmarks for refinery-petrochemical planning optimization
Oversimplified assumptions limit enterprise-wide optimization applicability
Need for demand-driven, open-source industrial-scale benchmark models
Innovation
Methods, ideas, or system contributions that make the work stand out.
Open-source demand-driven benchmark for refinery-petrochemical complexes
Port-stream hybrid superstructure for modular modeling
Delta-base approach for secondary processing units
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