CN-122022544-A - Method, system and medium for optimizing operation parameters of embedded pipe type phase-change energy storage wall

CN122022544ACN 122022544 ACN122022544 ACN 122022544ACN-122022544-A

Abstract

The invention relates to the technical field of parameter optimization and discloses a method, a system and a medium for optimizing operating parameters of a embedded pipe type phase-change energy storage wall body, wherein the method comprises the steps of obtaining the design range of at least two operating parameters, and determining a discrete data set of the operating parameters according to the design range of the operating parameters, wherein the discrete data set comprises a plurality of discrete values; the method comprises the steps of carrying out full-permutation and combination on discrete values of all operating parameters to obtain a plurality of groups of optimizing items, calculating a plurality of optimizing evaluation indexes of each group of optimizing items, processing the optimizing evaluation indexes of each group of optimizing items based on a preset multi-objective evaluation rule to determine comprehensive evaluation values of each group of optimizing items, screening out the highest comprehensive evaluation value, and taking the discrete value of the optimizing item corresponding to the highest comprehensive evaluation value as the optimal operating parameter. The invention can precisely quantify the comprehensive performance of each group of optimization items.

Inventors

HUANG JIANEN
QI JI
ZHANG SHUMAN
FENG WEI
DING FUHUA
SiMa Zibo
JI MINGXIAO

Assignees

中国矿业大学

Dates

Publication Date: 20260512
Application Date: 20251225

Claims (10)

1. The method for optimizing the operating parameters of the embedded pipe type phase-change energy storage wall body is characterized by comprising the following steps of: Acquiring design ranges of at least two operation parameters, and determining a discrete data set of the operation parameters according to the design ranges of the operation parameters, wherein the discrete data set comprises a plurality of discrete values; All discrete values of all the operation parameters are subjected to full permutation and combination to obtain a plurality of groups of optimization items, wherein each group of optimization items comprises one discrete value of at least two operation parameters; Calculating a plurality of optimization evaluation indexes of each group of optimization items; Processing a plurality of optimization evaluation indexes of each group of optimization items based on a preset multi-objective evaluation rule, and determining the comprehensive evaluation value of each group of optimization items; and screening out the highest comprehensive evaluation value, and taking the discrete value of the optimization item corresponding to the highest comprehensive evaluation value as the optimal operation parameter.
2. The method for optimizing the operating parameters of the embedded pipe type phase-change energy storage wall body according to claim 1, wherein the optimizing evaluation indexes are an energy saving index, a cost index and a carbon emission index of the embedded pipe type phase-change energy storage wall body, the number of the operating parameters is two, and the operating parameters are water supply temperature and water supply flow rate.
3. The method of claim 2, wherein determining the discrete data set of the operating parameters according to the design range of the operating parameters comprises: Performing discrete division on the design range of the water supply temperature according to a preset first step length to obtain a plurality of discrete values of the water supply temperature; and carrying out discrete division on the design range of the water supply flow rate according to a preset second step length to obtain a plurality of discrete values of the water supply flow rate.
4. The method for optimizing parameters of a wall body according to claim 2, wherein calculating a plurality of optimization evaluation indexes of each set of optimization terms comprises: Acquiring the lift of a circulating pump of the embedded pipe type phase-change energy storage wall body and the energy efficiency ratio of an air source heat pump water heater unit; Determining the water pump shaft power of the circulating pump according to the lift of the circulating pump and the water supply flow rate of each group of optimization items; Determining the heat exchange quantity of the water pipe according to the water supply flow rate and the water supply temperature of each group of optimization items; determining heating energy consumption of the embedded pipe type phase-change energy storage wall room according to the heat exchange quantity of the water pipe, the power of the water pump shaft and the energy efficiency ratio of the air source heat pump water heater unit; acquiring an indoor heating load of a common wall body room, and determining heating energy consumption of the common wall body room according to the indoor heating load of the common wall body room; And acquiring heating energy consumption of a inlaid pipe type phase-change energy-storage wall room and heating energy consumption of a common wall room, determining energy-saving energy of the inlaid pipe type phase-change energy-storage wall, and taking the energy-saving energy of the inlaid pipe type phase-change energy-storage wall as an energy-saving index.
5. The method of optimizing operational parameters of a nested phase-change energy storage wall of claim 4, the method further comprising: Acquiring a preset operation time length of the embedded pipe type phase-change energy storage wall body, and calibrating the fixed cost of the embedded pipe type phase-change energy storage wall body based on the preset operation time length; and determining the total cost of the embedded pipe type phase-change energy storage wall body according to the preset operation time length, the heating energy consumption of the embedded pipe type phase-change energy storage wall body room and the fixed cost, and taking the total cost of the embedded pipe type phase-change energy storage wall body as a cost index.
6. The method for optimizing parameters of a pipe-embedded phase-change energy storage wall according to claim 5, further comprising calibrating the carbon emission of the pipe-embedded phase-change energy storage wall based on a preset operation time length, wherein the carbon emission of the pipe-embedded phase-change energy storage wall is used as a carbon emission index.
7. The method for optimizing parameters of operation of a wall-in-pipe phase change energy storage wall according to any one of claims 1 to 6, wherein the multi-objective evaluation rule is: Performing standardized treatment on a plurality of optimization evaluation indexes of each group of optimization items to obtain a plurality of optimization evaluation indexes of each group of treated optimization items; Constructing a decision matrix according to a plurality of optimized evaluation indexes of each processed set of optimized items; determining the weight of each optimized evaluation index based on a preset weighting rule; and determining the comprehensive evaluation value of each group of optimization items according to the weight of each optimization evaluation index and the decision matrix.
8. A nested phase change energy storage wall operating parameter optimization system for implementing the nested phase change energy storage wall operating parameter optimization method of any one of claims 1-7, the system comprising: The data acquisition module is used for acquiring the design range of at least two operation parameters, and determining a discrete data set of the operation parameters according to the design range of the operation parameters, wherein the discrete data set comprises a plurality of discrete values; The data grouping module is used for carrying out full permutation and combination on the discrete values of all the operation parameters to obtain a plurality of groups of optimization items, wherein each group of optimization items comprises one discrete value of at least two operation parameters; The index calculation module is used for calculating a plurality of optimization evaluation indexes of each group of optimization items; The index evaluation module is used for processing a plurality of optimization evaluation indexes of each group of optimization items based on a preset multi-objective evaluation rule and determining the comprehensive evaluation value of each group of optimization items; And the index screening module is used for screening out the highest comprehensive evaluation value and taking the discrete value of the optimization item corresponding to the highest comprehensive evaluation value as the optimal operation parameter.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for optimizing the operating parameters of the embedded phase change energy storage wall of any one of claims 1-7 when the computer program is executed by the processor.
10. A computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor implements the method for optimizing operating parameters of a wall body for embedded phase change energy storage according to any one of claims 1-7.

Description

Method, system and medium for optimizing operation parameters of embedded pipe type phase-change energy storage wall Technical Field The invention relates to the technical field of parameter optimization, in particular to a method, a system and a medium for optimizing operating parameters of a embedded pipe type phase-change energy storage wall. Background In the field of building energy conservation, the heat preservation and insulation performance of the enclosure structure directly influences the building heating energy consumption and the indoor heat comfort level. The traditional wall body mostly adopts a single heat-insulating material superposition structure, and can meet basic thermal requirements, but the problems of weak heat storage capacity, slow temperature regulation response and the like exist, so that a heating system needs to continuously run under high load, and the energy consumption is large and the economy is poor. The embedded pipe type phase change energy storage wall body is used as a novel energy-saving enclosure structure, and the latent heat energy storage characteristic of the phase change material is combined with the embedded pipe heat exchange system, so that heat can be stored and released as required, and the building heating load can be reduced. However, the operation effect of the device is highly dependent on the matching of key parameters such as water supply temperature, water supply flow rate and the like, namely, the phase change material is easy to melt completely too early due to the fact that the water supply temperature is too high, heat storage adjustment capability is lost, the energy consumption of a water pump can be increased due to the fact that the water supply flow rate is too high, the heat exchange time of fluid and the phase change material is shortened, the heat utilization efficiency is reduced, and the heat exchange potential cannot be fully exerted due to the fact that the flow rate is too low, and the energy saving effect is affected. At present, optimization research on embedded pipe type phase change energy storage wall body operation parameters is concentrated on single index or single factor analysis, scientific and reasonable parameter configuration basis is difficult to form, and popularization and application of the technology in actual engineering are limited. Disclosure of Invention The invention aims to provide a method, a system and a medium for optimizing the operating parameters of a embedded pipe type phase-change energy storage wall, and solves the problems that the optimization research of the operating parameters of the existing embedded pipe type phase-change energy storage wall is concentrated on single index or single factor analysis, and scientific and reasonable parameter configuration basis is difficult to form. In order to achieve the aim of the invention, the invention adopts the following technical scheme: In a first aspect, the invention provides a method for optimizing operating parameters of a embedded pipe type phase-change energy storage wall, which comprises the following steps: Acquiring design ranges of at least two operation parameters, and determining a discrete data set of the operation parameters according to the design ranges of the operation parameters, wherein the discrete data set comprises a plurality of discrete values; All discrete values of all the operation parameters are subjected to full permutation and combination to obtain a plurality of groups of optimization items, wherein each group of optimization items comprises one discrete value of at least two operation parameters; Calculating a plurality of optimization evaluation indexes of each group of optimization items; Processing a plurality of optimization evaluation indexes of each group of optimization items based on a preset multi-objective evaluation rule, and determining the comprehensive evaluation value of each group of optimization items; and screening out the highest comprehensive evaluation value, and taking the discrete value of the optimization item corresponding to the highest comprehensive evaluation value as the optimal operation parameter. Preferably, the optimizing evaluation indexes are an energy saving index, a cost index and a carbon emission index of the embedded pipe type phase-change energy storage wall body, the number of the operating parameters is two, and the operating parameters are water supply temperature and water supply flow rate. Preferably, determining the discrete data set of the operating parameters according to the design range of the operating parameters comprises: Performing discrete division on the design range of the water supply temperature according to a preset first step length to obtain a plurality of discrete values of the water supply temperature; and carrying out discrete division on the design range of the water supply flow rate according to a preset second step length to obtain a plurality of discret