CN-122015554-A - Optimization method of heat storage and storage Leng Shuangmo type energy storage system

CN122015554ACN 122015554 ACN122015554 ACN 122015554ACN-122015554-A

Abstract

The invention provides an optimization method of a heat storage and storage Leng Shuangmo type energy storage system, which belongs to the technical field of heat storage and storage Leng Shuangmo type energy storage systems, and aims to solve the technical problems of unstable heat transfer efficiency of a heat storage and storage system in the prior art by constructing a multi-element composite phase change material system covering minus 20 ℃ to 80 ℃, regulating and controlling phase change temperature by adopting a molecular design technology, improving heat conduction coefficient to a range of 2.5-4.2W/(m.K) by utilizing a nano modification technology, realizing material layered gradient configuration by utilizing a minimum spanning tree algorithm, designing a variable diameter spiral fin and porous foam metal composite heat transfer strengthening structure, establishing a phase change interface prediction algorithm model to realize interface position monitoring with +/-2 mm precision, constructing a double-layer game optimizing model to dynamically regulate heat transfer parameters, realizing heat storage and storage double-mode self-adaptive switching, and realizing the synergistic effect of material performance optimization, structure self-adaptive design and intelligent control strategy.

Inventors

XIE JINCHAO
XU MEI
ZHANG CHENXI
WANG ZEZHONG
ZHU CHANG
WEI FEI
BAI DINGRONG

Assignees

鄂尔多斯实验室
清华大学

Dates

Publication Date: 20260512
Application Date: 20251210

Claims (10)

1. A method for optimizing a heat storage Leng Shuangmo type energy storage system is characterized by comprising the steps of constructing a multi-element composite phase change material system, optimizing layered gradient configuration, designing a self-adaptive heat transfer strengthening structure, establishing a phase change interface prediction algorithm and optimizing control of a double-layer game, wherein the multi-element composite phase change material system is constructed, the phase change temperature of a paraffin base material and an inorganic salt hydrate material is regulated and controlled through a molecular design technology, a gradient phase change material library covered by a temperature range is formed, graphene nanosheets and alumina nanoparticles are added into the phase change material through a nano modification technology, the heat conductivity coefficient of the material is improved, meanwhile, phase change latent heat is kept, a layered gradient configuration optimizing model is built, the material arrangement sequence is determined through a minimum spanning tree algorithm in the graph theory, materials with different phase change temperatures are arranged in a mode of decreasing temperature gradient as edge weight, the self-adaptive heat transfer strengthening structure is designed, the diameter of a variable spiral fin and porous foam metal composite structure is adopted, the diameter of the fin is changed along the axial direction, the phase change interface prediction algorithm model is built, the data acquired through a temperature distribution sensor and a phase change completion sensor are monitored, the solid-liquid interface position and the moving speed are calculated in real time, the heat storage mode is optimized, the heat storage mode is set to be the maximum when the heat storage mode is started under the condition that the heat storage mode is set, and the heat storage mode is optimized, and the heat storage mode is set to be the maximum, and the heat storage mode is set to be in a mode of a mode with the mode of a low-level heat storage mode, and the heat storage mode is set to be in a mode when the heat storage mode is set to be at the mode is high when the temperature mode is set to be used to a mode when the energy storage mode is used to be used for a storage mode.
2. The method for optimizing a thermal storage Leng Shuangmo energy storage system according to claim 1, wherein the step of constructing the multi-element composite phase change material system, specifically, the gradient phase change material library comprises 15 materials with different phase change temperatures, the temperature range is covered with-20 ℃ to 80 ℃, the molecular structure with the target phase change temperature is predicted and designed by adopting a computational chemistry method and molecular dynamics simulation through a molecular design technology, and the intermolecular acting force and the crystal structure parameters are regulated and controlled.
3. The method for optimizing the heat storage and storage Leng Shuangmo energy storage system according to claim 2, wherein the step of nano modification technology is specifically to uniformly disperse a nano-scale high-heat-conductivity material into a phase-change material matrix to form a three-dimensional heat-conducting network structure, so that the heat conductivity of the composite material is remarkably improved, the heat conductivity of the material is improved to a range of heat conductivity e [2.5,4.2] w/(m·k), and meanwhile, the phase-change latent heat is kept to be not lower than 85% of an initial value.
4. The method for optimizing a thermal storage Leng Shuangmo storage energy system according to claim 3, wherein the step of establishing a hierarchical gradient configuration optimization model, specifically, hierarchical gradient configuration refers to orderly arranging materials with different phase transition temperatures according to a temperature gradient to form a continuous temperature distribution structure from high temperature to low temperature or from low temperature to high temperature, and the phase transition temperature of the outer layer material is set within a range of ambient temperature plus or minus 15 ℃.
5. The method for optimizing a thermal storage Leng Shuangmo type energy storage system as claimed in claim 4, wherein the step of determining the material arrangement sequence by the minimum spanning tree algorithm is to find the minimum weight path connecting all material nodes by Kruskal algorithm by taking the temperature difference as the edge weight, and determine the optimal material arrangement sequence.
6. The method for optimizing a heat storage and storage Leng Shuangmo type energy storage system according to claim 5, wherein the step of designing the adaptive heat transfer enhancement structure is specifically that the variable-diameter spiral fin comprises a copper fin matrix and a stainless steel support rod, the porous foam metal is made of an aluminum alloy material, the porosity e [0.85,0.95 ], and the variable-diameter spiral fin is a spiral heat transfer enhancement structure with the diameter of the fin continuously changing along the axial direction.
7. The method for optimizing a thermal storage Leng Shuangmo energy storage system according to claim 6, wherein the variable diameter spiral fin, in particular, has a diameter change rule of Wherein For the initial diameter, x is the axial position, L is the total length, and the porous foam metal refers to a metal matrix material with an open-cell structure, has high porosity and large specific surface area, and is used for enhancing heat transfer and promoting the flow of a phase change material.
8. The method for optimizing the heat storage and storage Leng Shuangmo type energy storage system according to claim 7, wherein the phase change interface prediction algorithm model is established, specifically, the phase change interface prediction algorithm is a mathematical model for calculating and predicting the solid-liquid phase change interface position and movement law in real time based on a heat transfer theory and a numerical calculation method, and the prediction accuracy is controlled within a range of +/-2 mm.
9. The method for optimizing a heat storage and storage Leng Shuangmo energy storage system according to claim 8, wherein the double-layer game optimization model specifically comprises an upper-layer energy storage efficiency optimization function and a lower-layer energy consumption minimization function, the energy storage efficiency optimization function is used for maximizing overall energy storage efficiency of the system, the energy consumption minimization function is used for minimizing total energy consumption of the system, and the two objective functions are related through a heat transfer efficiency coupling term.
10. The method of claim 9, wherein the energy storage efficiency optimization function specifically includes an input including a fin pitch parameter, a foam metal porosity parameter, a phase change interface movement speed parameter, an ambient temperature parameter, and a material thermal conductivity parameter, the output is an optimal fin geometry configuration scheme, the energy consumption minimization function input includes an auxiliary device power parameter, a heat transfer enhancement structure operating power parameter, a control system power parameter, a pump power parameter, and a fan power parameter, and the output is an optimal power distribution scheme.

Description

Optimization method of heat storage and storage Leng Shuangmo type energy storage system Technical Field The invention belongs to the technical field of heat storage and storage Leng Shuangmo type energy storage systems, and particularly relates to an optimization method of a heat storage and storage Leng Shuangmo type energy storage system. Background The phase change energy storage technology is used as a high-efficiency heat energy storage mode, is widely applied to the fields of building energy conservation, industrial waste heat recovery, new energy automobile heat management, data center cooling, solar thermal power generation and the like, and the traditional technology mainly adopts a single phase change material to store heat or store cold in cooperation with a heat transfer element with a fixed geometric structure, and realizes energy storage and release through phase change latent heat of the material. In the current heat and cold storage application, because the heat conductivity coefficient of the phase change material is lower, the traditional heat transfer structure is designed and solidified, the position of a phase change interface is difficult to accurately control, and the operation parameters of the system cannot be adjusted in real time according to the change of working conditions, so that the heat transfer efficiency fluctuates greatly under different environment temperatures and load conditions, and the system performance is extremely unstable. That is, the heat and cold storage system of the prior art has a technical problem of unstable heat transfer efficiency. Disclosure of Invention In view of the above, the invention provides an optimization method of a heat storage and storage Leng Shuangmo type energy storage system, which can solve the technical problem of unstable heat transfer efficiency of the heat storage and storage system in the prior art. The invention provides an optimization method of a heat storage Leng Shuangmo type energy storage system, which realizes stable heat transfer efficiency by constructing a multi-element composite phase change material system, optimizing layered gradient configuration, designing a self-adaptive heat transfer strengthening structure, establishing a phase change interface prediction algorithm and optimizing and controlling double-layer games; the method comprises the steps of adding graphene nano sheets and alumina nano particles into a phase change material by adopting a nano modification technology, improving the heat conductivity of the material, simultaneously maintaining the latent heat of phase change, establishing a hierarchical gradient configuration optimization model, determining the material arrangement sequence by adopting a minimum spanning tree algorithm in graph theory, arranging materials with different phase change temperatures according to a mode of decreasing the temperature from an outer layer to an inner layer, designing a self-adaptive heat transfer strengthening structure, adopting a variable-diameter spiral fin and porous foam metal composite structure, enabling the diameter of the fin to axially change, establishing a phase change interface prediction algorithm model, calculating the position and the moving speed of a solid-liquid interface in real time by monitoring data acquired by a temperature distribution sensor and a phase change completion sensor, establishing a double-layer game optimization model for dynamically adjusting heat transfer geometric parameters, wherein the upper layer model aims at maximizing energy storage efficiency, the lower layer model aims at minimizing energy consumption, establishing a heat storage Leng Shuangmo type switching control strategy, and starting a heat storage mode when the environment temperature is higher than the set temperature. The method comprises the steps of constructing a multi-element composite phase change material system, specifically a gradient phase change material library, wherein the gradient phase change material library comprises 15 materials with different phase change temperatures, the temperature range is covered at-20 ℃ to 80 ℃, a molecular structure with a target phase change temperature is predicted and designed by adopting a computational chemistry method and molecular dynamics simulation through a molecular design technology, and intermolecular acting force and crystal structure parameters are regulated and controlled. The nano modification technology comprises the steps of uniformly dispersing a nano-scale high-heat-conductivity material into a phase-change material matrix to form a three-dimensional heat-conducting network structure, so that the heat-conducting property of the composite material is remarkably improved, the heat conductivity of the material is improved to be within the range of heat conductivity E [2.5,4.2] W/(m.K), and meanwhile, the phase-change latent heat is kept to be not lower than 85% of an initial value. The step of estab