A Composite Heating Control Method Based on BP Neural Network
A BP neural network and control method technology, applied in the field of ground source heat pump air conditioners, can solve the problems of the solar collector heat supplement rate cannot be maintained above the starting temperature, the operating energy efficiency of the unit is low, and the unit is frequently started and stopped.
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[0033] The technical solutions in the embodiments of the present invention will be described more clearly and completely below in conjunction with the drawings in the embodiments of the present invention.
[0034] The embodiment of the present invention provides a compound heating control method based on BP neural network applied to the compound system of solar energy and ground source heat pump, such as figure 1 shown, including:
[0035] The composite system of solar energy and ground source heat pump is running, and the outlet temperature of the load side of the water tank is monitored. If the outlet temperature of the load side of the water tank does not meet the requirements for direct supply of the water tank, the heating mode of the soil source heat pump is adopted; if the outlet temperature of the load side of the water tank meets the requirements for direct supply of the water tank, then Judging whether the formula (1) is satisfied, if it is satisfied, the water tank ...
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