Table 5 Overview of optimization research in industrial integrated energy systems
Ref. | System | Uncertainty | Flexibility | Multi-timescale | Dynamic | Energy production coupling | Solution | Summary |
|---|---|---|---|---|---|---|---|---|
Electricity, heat, compressed air | × | × | × | √ | √ | LP | Carbon flow tracing of the steel industry | |
Electricity, heat | × | √ | × | √ | √ | MILP | Flexibility evaluation of the steel refining process | |
Electricity, heat, hydrogen | √ | × | × | √ | √ | MINLP & Stochastic programming | Material–energy coupling optimization for refineries | |
Electricity, heat | √ | × | √ | × | √ | Robust optimization | Production plan and energy management in the steel industry | |
Electricity, gas, cooling, heat | × | × | × | √ | × | MILP | Low-carbon economic operation of energy hubs | |
Electricity, heat | √ | × | × | √ | √ | MILFP using the Charnes–Cooper transformation | Emission intensity optimization for electrolytic aluminum based on STN | |
Electricity, gas | × | √ | √ | √ | √ | MILP | Production scheduling considering carbon policy | |
Electricity, heat | × | √ | × | × | √ | MILP | Demand response in the cement industry | |
Electricity | × | √ | √ | √ | √ | Enhanced memetic algorithm | Flexible job shop scheduling considering machine restart | |
Electricity | × | √ | × | √ | √ | Improved evolutionary algorithm | Low-carbon flexible job shop scheduling | |
Electricity, heat, cooling | √ | √ | √ | √ | × | KKT and binary expansion method | Multi-time scale demand response for manufacturing | |
Electricity, gas, hydrogen | √ | √ | × | √ | √ | Lagrangian benders decomposition | Low-carbon dispatch in the steel industry, coupled with hydrogen | |
Electricity, heat, gas, compressed air | × | √ | × | √ | √ | Relaxation and heuristic algorithms | Carbon flow tracing and coordinated scheduling of energy-material flows |