A cooling load forecasting method for air-conditioning systems and a group control strategy for chillers

Abstract

The invention discloses an air conditioning system cold load prediction method and a cold water unit group control strategy. The method comprises the steps that the cold load increment delta Qyx (t) from the moment t to the moment t-tau is calculated; a model is established and meteorological parameters of t-tau, t and t + tau are collected and are substituted into the cold load theoretical calculation values of the moments, and then the cold load theoretical calculation increment delta Qjs (t), delta Qjs (t + tau) between the two time periods and t moment correction coefficient gamma = deltaQjs (t) / delta Qyx (t); and according to the formula of Qyc (t + tau) = Qyx (t) + delta Qjs (t + tau) / gamma, a cold load prediction value of t + tau is obtained. Subsequently, on the basis of Qyc (t + tau), the cold water unit group control strategy at the moment t + tau is determined. According to the method and the strategy, an air conditioner running actually measured cold load at the momentt is taken as a prediction starting point, the cold load theory calculation model is combined for use, so that the air conditioner cold load is predicted at the moment t + tau, then the cold water unit group control strategy is adjusted, and the running energy efficiency of a cold water unit is improved.

Description

technical field [0001] The invention belongs to the technical field of air-conditioning energy consumption control, and in particular relates to a cooling load prediction method for an air-conditioning system, and also relates to a group control strategy for chillers based on a cooling load prediction value. Background technique [0002] my country's building energy consumption accounts for as much as one-third of the whole society's energy consumption, and the energy consumption of HVAC systems accounts for more than 60% of the total energy consumption of buildings. Therefore, energy saving of air conditioning systems is a key task of building energy conservation. Adopting a reasonable chiller operation control strategy is the main technical approach to improve the energy utilization efficiency of the air-conditioning system, and the realization of this approach requires accurate forecasting of the cooling load during the operation of the air-conditioning system. [0003] T...

AI Technical Summary

Problems solved by technology

[0003] The traditional chiller operation control strategy in the air conditioning system mainly determines the group control of chillers by monitoring the return water temperature. Due to the huge chilled water system of the air conditioner, the change of temperature has a large lag, which cannot accurately reflect the load dynamics during the operation of the air conditioner. Changing conditions, resulting in failure of the chiller control strategy

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