A method for assessing carbon emission reduction in a shallow ground source heat pump dual-supply system (heating and cooling).

Abstract

This application relates to the field of carbon emission reduction assessment technology, specifically to a method for assessing carbon emission reduction in a shallow ground source heat pump dual-supply system. The method includes: obtaining the cooling and heating loads of the ground source heat pump system and the soil temperature at each monitoring point for a preset historical period; obtaining the imbalance risk coefficient for each period based on the soil temperature fluctuation characteristics and differences in cooling and heating loads within each period, and obtaining the auxiliary power consumption drift value for each period by combining the power consumption offset of the auxiliary system; obtaining the weighting factor for each period based on the difference in imbalance risk coefficients between each period and other periods, and obtaining a neural network model by combining the cooling and heating loads and auxiliary power consumption drift values ​​of all periods, thereby predicting the auxiliary power consumption drift value for the current period, and correcting the carbon emissions obtained using existing static models. This application improves the accuracy of carbon emission assessment by analyzing the auxiliary system power consumption error caused by ground heat imbalance.

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