This PhD research project aims to develop a digital twin framework to simulate and evaluate industrial consumers’ demand response participation in the Danish and Chinese electricity markets. The research mainly focuses on industrial consumers with a large diversity in processes and consumption profiles allowing for different flexibility implementations. The project develops a digital twin framework based on agent-based modelling to understand and simulate the industrial consumers’ market participation. The framework is developed and tested using case studies from the Danish and Chinese electricity markets. This framework includes demand response strategies based on market properties, consumer flexibility properties and consumer preferences. The simulation results from the case studies allow to establish general recommendations for demand response strategies within different market contexts. Therefore, the framework can facilitate industrial consumers’ evaluation of their strategies for demand response participation.