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Regularization method and system for multi-parameter collaborative inversion of ground heat exchanger

A buried tube heat exchanger, multi-parameter technology, applied in instrumentation, design optimization/simulation, electrical digital data processing, etc., can solve the problems of ill-posed mathematical characteristics, low identifiability, unreliable parameter estimation results, etc. Achieve the effect of shortening the test time and suppressing the influence of data noise

Pending Publication Date: 2022-07-29
CENT SOUTH UNIV +2
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to pursue more reliable results, the parameter estimation of the traditional model must discard the thermal response test data of the first 10 hours, and at least 2 days of on-site test time are required
In addition, the parameter estimation of the thermal response test has low identifiability and ill-posed mathematical characteristics, involving the existence, uniqueness and stability of the solution
Especially when the test time is reduced or the number of estimated parameters is increased, these ill-posed problems can lead to unreliable parameter estimation results

Method used

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  • Regularization method and system for multi-parameter collaborative inversion of ground heat exchanger
  • Regularization method and system for multi-parameter collaborative inversion of ground heat exchanger
  • Regularization method and system for multi-parameter collaborative inversion of ground heat exchanger

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specific Embodiment approach

[0040] It should be noted that the structures, proportions, sizes, etc. shown in this specification are only used to cooperate with the contents disclosed in the specification, so as to be understood and read by those who are familiar with this technology, and are not used to limit the conditions that the present invention can be implemented. , any modification of the structure, the change of the proportional relationship or the adjustment of the size, without affecting the effect that the present invention can produce and the purpose that can be achieved, should still fall within the scope that the technical content disclosed in the present invention can cover .

[0041] At the same time, the terms such as "up", "down", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of description and clarity, and are not used to limit this specification. The implementable scope of the invention, and the change or adjustment of the relative relat...

Embodiment 1

[0043] A regularization method for multi-parameter collaborative inversion of a buried tube heat exchanger, the method comprises the following steps:

[0044] S1: Obtain the temperature data of the circulating fluid, the characteristic data of the experimental object, and the curve of the temperature of the circulating fluid changing with time of the preset thermal response test;

[0045] S2: According to the temperature data of the circulating fluid and the characteristic data of the experimental object, the multi-parameter synergistic inversion of the buried tube heat exchanger is carried out, and the optimal parameter estimation result is obtained;

[0046] S3: Use the optimal parameter estimation result to obtain the relationship curve of circulating fluid temperature and time;

[0047] S4: According to the comparison between the relationship curve and the curve of the temperature of the circulating fluid changing with time, the multi-parameter synergistic inversion of the...

Embodiment 2

[0070] A regularization algorithm for multi-parameter collaborative inversion of buried tube heat exchangers.

[0071] like figure 1 As shown, the main program runs:

[0072] Step 1: Collect thermal response test data and record the characteristics of the experimental object;

[0073] Step 2: Determine the parameters to be inverted, that is, the types and quantities of parameters to be estimated;

[0074] Step 3: Input model conditions and geothermal property data as the initial parameters of the algorithm;

[0075] Step 4: Initialize the heat transfer model of the buried tube heat exchanger and the relevant parameters of the soil, including the parameters mentioned in the above steps;

[0076] Step 5: Given the initial value of the parameter to be estimated;

[0077] Step 6: Call the fluid temperature subroutine to calculate the circulating fluid temperature at this point;

[0078] Step 7: Call the parameter inversion iterative subroutine to optimize the objective functi...

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Abstract

The invention discloses a regularization method and system for multi-parameter collaborative inversion of a ground heat exchanger. The regularization method and system are used for estimating design parameters of the ground heat exchanger based on an on-site thermal response test. In combination with a short-time temperature response function and a Tikhonov regularization inversion algorithm, a reliable and stable result can be obtained while the field thermal response test time is shortened. On one hand, the short-time heat transfer model enables early-stage high-sensitivity data to be used for parameter inversion; and on the other hand, the regularization can suppress the influence of data noise, so that a smooth and stable inversion solution is obtained.

Description

technical field [0001] The invention belongs to the field of ground source heat pump technology application and energy saving, and particularly relates to a regularization method and system for multi-parameter collaborative inversion of a buried tube heat exchanger. Background technique [0002] The on-site thermal response test of the buried tube heat exchanger is an important method to obtain the surface thermal properties of the rock and soil. The inference of the thermal properties of the rock and soil from the thermal response test is a parameter estimation problem, and it also belongs to the category of the inverse thermal conductivity problem. In order to pursue more reliable results, the parameter estimation of the traditional model must discard the thermal response test data of the first 10 hours and require at least 2 days of field test time. In addition, parameter estimates for thermal response testing suffer from poorly identifiable and ill-posed mathematical cha...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/28G06F113/08G06F119/08
CPCG06F30/28G06F2113/08G06F2119/08
Inventor 李旻杜玉芳孙玉宝王敬民陈曦王洪飞
Owner CENT SOUTH UNIV
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