Tuna algorithm-based urban rail ventilation and air conditioning system energy consumption optimization method
The invention discloses an urban rail ventilation air-conditioning system energy consumption optimization method based on a tuna algorithm, and the method comprises the following steps: obtaining factors influencing energy consumption in an HVAC system in a scene through a data sensing module, and c...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses an urban rail ventilation air-conditioning system energy consumption optimization method based on a tuna algorithm, and the method comprises the following steps: obtaining factors influencing energy consumption in an HVAC system in a scene through a data sensing module, and collecting original data corresponding to the factors; performing data preprocessing on the collected original data to obtain preprocessed data; constructing an energy consumption grey box model of the HVAC system according to the preprocessed data; performing parameter fitting on the energy consumption grey box model through an artificial neural network to obtain a complete energy consumption model; iterating the energy consumption model based on a tuna optimization algorithm; at the corresponding moment, when the energy consumption of the energy consumption model is the minimum value, solving equipment setting data; and controlling the HVAC system by adopting the solved equipment setting data, and uploading the HV |
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