The approach of integrating demand response strategy with operational scheduling is used to investigate the flexibility in the operational performance under time-sensitive electricity tariffs and to provide cost benefits analysis to the industrial consumers. The proposed approach focused on implementing a demand response strategy in a case study of scheduling for an industrial network of compressors for Time of Use and Enhanced Time of Use tariffs for heavy industries. The optimisation framework was developed as a mixed integer linear programming model. The percentage of total cost reduction is around 5% to 13% by implementing a demand response program. A considerable percentage of cost saving is possible to achieve for the Enhanced Time of use tariff since it offers an extensive off-peak time zone during the night hours and on the weekend. It is concluded that the study highlights the operational performance goal of achieving cost savings by implementing a demand response strategy for energy industries.

The approach of integrating demand response strategy with operational scheduling is used to investigate the flexibility in the operational performance under time-sensitive electricity tariffs and to provide cost benefits analysis to the industrial consumers. The proposed approach focused on implementing a demand response strategy in a case study of scheduling for an industrial network of compressors for Time of Use and Enhanced Time of Use tariffs for heavy industries. The optimisation framework was developed as a mixed integer linear programming model. The percentage of total cost reduction is around 5% to 13% by implementing a demand response program. A considerable percentage of cost saving is possible to achieve for the Enhanced Time of use tariff since it offers an extensive off-peak time zone during the night hours and on the weekend. It is concluded that the study highlights the operational performance goal of achieving cost savings by implementing a demand response strategy for energy industries.