This study proposes a novel approach that integrates demand response strategy with operational scheduling to investigate the process flexibility in the operational performance under time-sensitive electricity tariffs and to provide cost-benefit analysis to industrial consumers. The proposed approach focused on implementing a demand response strategy with integrated process flexibilities at the supply side, storage and demand side in a case study of scheduling for an industrial network of compressors for Time of Use and Enhanced Time of Use energy tariff. The optimisation framework was developed as a mixed-integer linear programming model. The implementation of the demand response strategy resulted in a total cost reduction of between 5 and 13%. Furthermore, a considerable cost saving was shown to be achievable for the Enhanced Time of Use energy 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.

Graphical Abstract

中文翻译：

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具有最佳生产和能源利用的空压机网络需求响应策略

本研究提出了一种将需求响应策略与运营调度相结合的新颖方法，以研究时间敏感电价下运营绩效的流程灵活性，并为工业消费者提供成本效益分析。所提出的方法侧重于在供应侧、存储侧和需求侧实施具有集成流程灵活性的需求响应策略，以工业压缩机网络的使用时间和增强使用时间能源费率的调度为案例研究。优化框架被开发为混合整数线性规划模型。需求响应策略的实施使总成本降低了 5% 至 13%。此外，事实证明，增强型分时能源费率可以节省大量成本，因为它在夜间和周末提供了广泛的非高峰时区。结论是，该研究强调了通过实施能源行业需求响应策略来实现成本节约的运营绩效目标。

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