A Data-Driven Modeling Method for Ground Source Heat Pumps Considering Anomalies of Thermal Measurement Data

Abstract

A data-driven modeling method for ground source heat pumps in the present invention considering the abnormality of thermal measurement data is based on solving the problem of accurately describing the energy input and output relationship of ground source heat pumps under different operating conditions in the comprehensive energy system of the park. The invention selects the core power consumption of the ground source heat pump unit and the return water temperature of the ground source side as characteristic variables, effectively screens and fills in the operation measurement data, and generates a ground source heat pump data-driven model on this basis. That is, considering the characteristics of thermal measurement to correct the historical operation data of the ground source heat pump, on this basis, the least squares fitting is performed on the multivariate nonlinear model of the ground source heat pump, so as to obtain the data-driven model of the ground source heat pump, which can effectively Describing the energy input and output relationship of ground source heat pumps under different working conditions effectively solves the existing problems in the current data-driven modeling of actual ground source heat pump systems, and provides a basis for the refined scheduling optimization of the park's comprehensive energy system.

Description

technical field [0001] The invention relates to a ground source heat pump data-driven modeling method. In particular, it relates to a data-driven modeling approach for ground source heat pumps considering anomalies in thermal measurement data. Background technique [0002] The ground source heat pump system uses rock and soil, groundwater or surface water as low-temperature heat sources. By inputting a small amount of high-grade energy (electric energy), the ground source heat pump can realize the transfer from low-grade heat energy to high-grade heat energy, and geothermal energy is more environmentally friendly. , so it has been widely used in the comprehensive energy system of the park. The operating energy efficiency ratio (Coefficient of Performance, COP) of ground source heat pumps is closely related to its operating conditions, and changes with changes in environmental factors such as temperature, which brings challenges to its effective operation scheduling. Becaus...

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Problems solved by technology

[0005] In the data-driven modeling of the actual ground source heat pump system, there are the following difficulties: 1) Before the data-driven modeling, it is necessary to select the characteristic variables input by the model to prevent the input of too many characteristic variables and the mutual relationship between them. There is a large correlation between them, which leads to the reduction of model accuracy and generalization; for ground source heat pumps, there is a certain correlation between the supply and return water temperature of the ground source side and the supply and return water temperature of the user side and the heat production performance of the ground source heat pump. However, there is also a large correlation between each variable. It is necessary to accurately select the model characteristic variables and reasonably design the model expression; 2) The historical operation data of the ground source heat pump includes various types of physical quantities, including power consumption, temperature , heat production, generally speaking, the error of power and temperature measurement data is small; but due to the limitation of the working principle of thermal measurement, there are situations such as missing measurement data bits and asynchronous measurement and collection data, etc., which need to be used in modeling Key considerations; 3) In the actual ground source heat pump operation, most of the time the ground source heat pump load has little difference, but in a small part of the time period during the high load period, the standby heat pump unit may be put into operation, so that the power consumption of the unit and the ground source heat pump unit obtained in the final statistics Variables such as the return water temperature on the source side present a situation where most of the normal values ​​are densely distributed and a few normal values ​​are sparsely distributed

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