Abstract:
A rigorous dynamic mechanism model was established using Unisim for a complex heat exchange system (water cooled cascade refrigeration system) coupled with an ethylene propylene cascade refrigeration system and a circulating water cooling system in a certain device. Real time acquisition of on-site data was achieved using OPC technology, resulting in the establishment of an online dynamic simulation system. Through online dynamic simulation, synchronous tracking between the model and the on-site device was achieved. The online dynamic model can reflect the current operating status of the on-site device, thus obtaining a high-precision digital twin model. In addition, to address the issue of high system energy consumption, a global simulation optimization was conducted with the objective function of minimizing total system power consumption and the decision variable of circulating water temperature. Among them, for the calculation of fan power, a prediction model for fan power was obtained through regression using one year's historical data of the factory, thus solving the problem of power calculation in the optimization process. Finally, the optimization results were validated and calculated online in the digital twin model, and the optimization effect was predicted. After optimization, the system saved a total of 772.69MW in power consumption, with a total annual cost savings of 564000CNY, bringing significant economic benefits to the enterprise. Β© 2023 Chemical Industry Press. All rights reserved.
