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A ground source heat pump system performance prediction method

A system performance and prediction method technology, applied in the direction of prediction, data processing applications, instruments, etc., can solve the problems of only considering the impact of the future performance of the system, the unsatisfactory heat transfer performance of the GSHP system, etc., and achieve the effect of simplifying the complexity

Active Publication Date: 2019-05-28
SHANDONG UNIV
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  • Description
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Problems solved by technology

However, although these methods avoid the complex physical modeling and analysis process, they only consider the impact of historical data in the time series of GSHP system performance data on the future performance of the system, while ignoring the parameters of the system itself (such as: system working condition parameters) Influence, and the effect of predicting the heat transfer performance of the GSHP system is not ideal

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  • A ground source heat pump system performance prediction method
  • A ground source heat pump system performance prediction method
  • A ground source heat pump system performance prediction method

Examples

Experimental program
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Effect test

Embodiment 1

[0077] A performance prediction method for a ground source heat pump system, such as figure 1 shown, including the following steps:

[0078] (1) Preprocess and analyze the heat transfer performance data of the GSHP system, complete data cleaning, and conduct seasonal decomposition of the heat transfer performance data to analyze its stationarity;

[0079] (2) Divide the heat transfer performance data of the GSHP system processed in step (1) into a training set and a test set, construct a data structure with the input of the GSHP system operating parameters, and introduce 12 operating parameters of the GSHP system, including the distribution of boreholes x 1 , drilling radius X 2 , buried pipe depth X 3 , the number of buried pipes X 4 , Transverse spacing of buried pipes X 5 , Longitudinal spacing of buried pipes X 6 , The thermal conductivity of the filling material in the tube X 7 、Nominal outer diameter of U-shaped pipe X 8 , U-tube spacing X 9 , remote rock and so...

Embodiment 2

[0084] According to a method for predicting the performance of a ground source heat pump system described in Embodiment 1, the difference is that:

[0085] Step (1), preprocessing and analyzing the heat transfer performance data of the GSHP system, including:

[0086] A. Simulate and obtain the heat transfer performance data of the GSHP system; the heat transfer performance data of the GSHP system includes several sets of time series data, and each set of time series data includes 12 system operating parameters X 1 ~X 12 and Y 1 ~Y 4 time series of Y 1 Refers to the power consumption of the heat pump unit, the unit is kWh; Y 2 Refers to the total power consumption of the GSHP system, in kWh; Y 3 It refers to the ratio of the heating or cooling capacity of the heat pump unit to the operating power of the heat pump unit; Y 4 It refers to the ratio of the heating or cooling capacity of the heat pump unit to the total power of the system; through the software "Geothermal Sta...

Embodiment 3

[0094] According to a method for predicting the performance of a ground source heat pump system described in Embodiment 2, the difference is that:

[0095] Described step (2), divides training set and test set, builds the data structure that has GSHP system working parameter input, comprises:

[0096] F. Divide the heat transfer performance data of the GSHP obtained in step E to obtain a training set and a test set; for example, the previous 4000 sets of heat transfer performance data are used as a training set, and the rest are used as a test set.

[0097] G. On the basis of step F, each group of time series data in the training set is expressed as: x i ={y i1 ,y i2 ,...,y it}, i refers to the i-th group of time series data, and the value range of i is 1it point to x i The observation value corresponding to time t in ;

[0098] Introduce GSHP system working parameter c it For each observation y it Expand to form a new belt observation value c it means y it Correspo...

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Abstract

The invention relates to a ground source heat pump system performance prediction method. The method comprises the steps of (1) preprocessing and carrying out seasonal decomposition on the heat transfer performance data of a GSHP system; (2) constructing a data structure with GSHP system working parameter input in a seasonal month-by-month manner; (3) constructing a decision tree set model which has external system working parameter input and can be used for time sequence regression prediction, namely a prediction model; (4) carrying out data reconstruction on test set data by adopting the samemethod as the step (2), and carrying out performance prediction by adopting an autoregressive mode and the decision tree set model obtained by training in the step (3); and (5) comparing the prediction data obtained by the test set through the decision tree set model with the real data, and measuring the prediction effect of the decision tree set model. The prediction method is simple and is easyto operate. The method also solves the problem that the traditional time sequence analysis method cannot predict the time sequence with out-of-band partial parameters.

Description

technical field [0001] The invention relates to a performance prediction method of a ground source heat pump system, which belongs to the technical field of performance prediction of the ground source heat pump system. Background technique [0002] Ground Source Heat Pump (Ground Source Heat Pump, referred to as GSHP) is a high-efficiency, energy-saving and environment-friendly type that uses heat pump technology to provide buildings with winter heating, summer cooling and year-round domestic hot water, using underground shallow geothermal resources as cold and heat sources. Air conditioning technology. Compared with traditional air source heat pumps, GSHP can achieve higher efficiency and more stable performance. Therefore, ground source heat pumps are attracting more and more attention as a new technology for building heating and cooling that is beneficial to the environment, saves energy and is economically feasible. [0003] In actual engineering application, the initi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
Inventor 贲晛烨黄天欢庄兆意翟鑫亮肖瑞雪薛天乐
Owner SHANDONG UNIV
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