在本报告中，我们将介绍实时在线优化控制，以最小化区域冷却装置的能耗。优化技术基于digital twin，这是一种混合过程模型:热力学过程模型和统计回归模型的组合。混合过程模型是物理工厂的数字副本，根据工厂的实时过程数据再现系统的实际过程行为。在此，它被用作设备实时监控和优化的应用。在此，以及实时在线优化控制方法的理论背景，该报告包含了成功应用的示例，包括降低能耗率。 基于运行数据的结果显示了实时在线优化控制方法的有效性和应用优化后的实际能耗降低。引用:2020年虚拟会议论文

In this report, we will present real-time online optimization control, to minimize the energy consumption in a district cooling plant. The technique of optimization is based on the digital twin, which is a hybrid process model: a combination of a thermodynamic process model and a statistical regression model. The hybrid process model is a digital replica of a physical plant, and reproduces the actual process behaviors of system, based on the real time process data from plants. Herein, it is utilized as the applications of equipment monitoring and optimization in real time. Herein, as well as the theoretical background for real-time online optimization control methodology, the report contains examples of successful application including the reduction in energy consumption rates. The effectiveness of the real-time online optimization control methodology and the actual reduction of energy consumption by applying the optimization are shown based on the result of operation data.