Simulated annealing particle swarm based air-conditioning energy consumption model parameter identification method
A technology for simulating annealing and energy consumption models, applied in control/regulation systems, instruments, adaptive control, etc., can solve problems such as easy to fall into local optimal solutions, poor versatility, low model accuracy, etc., to improve the easy to fall into The effects of local optimum, enhanced global convergence, and improved convergence accuracy
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[0018] The specific implementation manner of the present invention will be described in detail below in conjunction with specific examples and with reference to the accompanying drawings.
[0019] The air conditioner energy consumption model parameter identification method based on simulated annealing particle swarms of the present invention mainly includes the following steps:
[0020] Step 1: Determine the objective function minf(X) for parameter optimization of the air conditioning system energy consumption model.
[0021] The energy consumption model of the entire air-conditioning system established by the mechanism analysis method is P=f(Q,T 1o , T 2o ,v 1 ,v 2 , Fair), where the factors affecting energy consumption are, air conditioning system load Q, chilled water outlet temperature T 1o , cooling water outlet temperature T 2o , Chilled water pump flow v 1 , cooling water pump flow v 2 And the air flow is fair. Carrying out the energy consumption model optimizat...
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