Table 5 Overview of optimization research in industrial integrated energy systems

From: A review of smart integrated energy systems towards industrial carbon neutrality: Opportunity and challenge

Ref.

System

Uncertainty

Flexibility

Multi-timescale

Dynamic

Energy production coupling

Solution

Summary

64

Electricity, heat, compressed air

×

×

×

LP

Carbon flow tracing of the steel industry

104

Electricity, heat

×

×

MILP

Flexibility evaluation of the steel refining process

109

Electricity, heat, hydrogen

×

×

MINLP & Stochastic programming

Material–energy coupling optimization for refineries

116

Electricity, heat

×

×

Robust optimization

Production plan and energy management in the steel industry

202

Electricity, gas, cooling, heat

×

×

×

×

MILP

Low-carbon economic operation of energy hubs

201

Electricity, heat

×

×

MILFP using the Charnes–Cooper transformation

Emission intensity optimization for electrolytic aluminum based on STN

200

Electricity, gas

×

MILP

Production scheduling considering carbon policy

103

Electricity, heat

×

×

×

MILP

Demand response in the cement industry

207

Electricity

×

Enhanced memetic algorithm

Flexible job shop scheduling considering machine restart

209

Electricity

×

×

Improved evolutionary algorithm

Low-carbon flexible job shop scheduling

105

Electricity, heat, cooling

×

KKT and binary expansion method

Multi-time scale demand response for manufacturing

203

Electricity, gas, hydrogen

×

Lagrangian benders decomposition

Low-carbon dispatch in the steel industry, coupled with hydrogen

204

Electricity, heat, gas, compressed air

×

×

Relaxation and heuristic algorithms

Carbon flow tracing and coordinated scheduling of energy-material flows