Water chilling unit combined operation optimal control method based on model prediction
A chiller and combination technology, applied in forecasting, neural learning methods, biological neural network models, etc., can solve the problems of restricting the energy-saving operation of refrigeration systems, lag in operation adjustment, and not considering energy-saving problems, and achieves good applicability and construction. Die simple effect
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[0053] The specific implementation manner of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0054] ginseng figure 1 As shown, a GRNN-based chiller energy efficiency model modeling method proposed by the present invention can be implemented in the following steps:
[0055] S1: Establish a training data set for the GRNN model.
[0056] ① Record the automatic monitoring data of the refrigeration system, the recording interval is 10 minutes, and the monitoring parameters include the operating power W of each chiller i , Chilled water supply temperature t gi , Chilled water return temperature t h , Cooling water inlet temperature ct hi .
[0057] ②According to the monitoring data and the rated cooling capacity of the unit, the load rate of the computer unit As shown in the following formula:
[0058]
[0059] Among them, C is the specific heat of water, m i , t gsi , t h It is the measured flow rate of the i-th...
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