A high temperature thermal storage system based on self-healing solid waste base

Abstract

Embodiments of the present disclosure provide a self-repairing solid waste-based high-temperature heat storage system, comprising a honeycomb heat storage module and a collaborative monitoring module, the honeycomb heat storage module comprising a plurality of self-repairing solid waste-based heat storage material units; the collaborative monitoring module comprising an infrared thermal imager, a piezoelectric ceramic sensor and an electrochemical impedance spectroscopy probe. Embodiments of the present disclosure form a mutually coordinated system-level maintenance optimization technical solution through the standardized module structure of the honeycomb heat storage module, the self-repairing solid waste-based heat storage material having characteristics such as molten salt corrosion resistance, medium-low temperature active self-repairing and high-temperature stability, and the collaborative monitoring module, not only solving the problems of high-temperature corrosion and thermal stress cracking, but also realizing significant reduction of maintenance cost and prolonging system life through modular design and intelligent monitoring.

Description

Technical Field

[0001] The embodiments disclosed herein belong to the field of high-temperature thermal storage technology, specifically relating to a high-temperature thermal storage system based on a self-healing solid waste substrate. Background Technology

[0002] In the field of high-temperature thermal storage system maintenance, existing technologies such as patents CN120311928A and CN120139407A have made significant progress in the integration of self-healing materials and structures. However, they mainly focus on the application of corrosion resistance and self-healing mechanisms in specific environments, such as heavy-duty corrosion-resistant flooring systems and 3D-printed bamboo aggregate concrete insulation walls.

[0003] However, these technologies have limitations in the application of high-temperature thermal storage systems, especially in terms of the long-term durability of materials and optimization of maintenance costs in high-temperature environments.

[0004] For example, the self-healing mechanism of patent CN120311928A performs well under heavy load conditions, but its repair mechanism is not suitable for the corrosion repair of heat storage materials under continuous high temperature environment, and its repair efficiency decreases significantly over time.

[0005] Similarly, while the 3D-printed wall in patent CN120139407A is innovative in terms of thermal insulation and structural strength, it lacks effective means to extend material life by utilizing self-healing mechanisms and to reduce maintenance costs by using modularization in high-temperature thermal storage systems. Summary of the Invention

[0006] The embodiments disclosed herein aim to at least solve one of the technical problems existing in the prior art, and provide a high-temperature thermal storage system based on a self-healing solid waste base.

[0007] The system includes a honeycomb thermal storage module and a collaborative monitoring module;

[0008] The honeycomb thermal storage module includes multiple self-healing solid waste-based thermal storage material units; the collaborative monitoring module includes an infrared thermal imager, a piezoelectric ceramic sensor, and an electrochemical impedance spectroscopy probe.

[0009] The infrared thermal imager is non-contactly disposed on the outside of the honeycomb thermal storage module to acquire the surface temperature field distribution of the honeycomb thermal storage module.

[0010] The piezoelectric ceramic sensor is embedded in the self-healing solid waste-based thermal storage material unit to acquire microcrack signals and thermal stress signals inside the thermal storage material.

[0011] The electrochemical impedance spectroscopy probe is contact-mounted at the target interface of the self-healing solid waste-based thermal storage material unit to obtain the corrosion rate on the surface of the thermal storage material.

[0012] Optionally, the self-healing solid waste-based thermal storage material is prepared by the following method:

[0013] Powdered solid waste and high-alumina cement are mixed at a weight ratio of 10:1, and then stirred with water to form a slurry. The slurry is then molded and sintered to obtain a green body.

[0014] A self-healing solid waste-based thermal storage material is prepared by adding a microencapsulated self-healing agent into the preform, followed by drying and high-temperature sintering.

[0015] Optionally, the solid waste includes one or more of coal gangue, shale, tailings, and slag.

[0016] Optionally, the self-healing agent comprises a stearic acid-poly4-vinylpyridine dynamic hydrogen bond network and FeO-GNS nanoparticles.

[0017] Optionally, the self-healing solid waste-based thermal storage material unit is a hexagonal prism structure with an embedded spiral steel skeleton; the units are connected by mortise and tenon ceramic interfaces and pins.

[0018] Optionally, the system also includes a steel shell, in which the plurality of self-healing solid waste-based thermal storage material units are encapsulated.

[0019] Furthermore, the collaborative monitoring module is configured to: establish a feature set based on the temperature field distribution, the microcrack signal and the thermal stress signal and the corrosion rate data, use a trained random forest regression model to predict faults, and determine that the high-temperature thermal storage system is faulty when the predicted value is lower than a preset threshold.

[0020] Furthermore, when a fault is determined in the high-temperature thermal storage system, the self-healing solid waste-based thermal storage material unit that needs to be replaced is determined through interlocking.

[0021] Furthermore, when a self-healing solid waste-based thermal storage material unit that needs to be replaced is identified, the unit is replaced in a targeted manner.

[0022] Furthermore, when the high-temperature thermal storage system is not identified as faulty, the self-healing capability of the self-healing solid waste-based thermal storage material unit is used to treat micro-damage.

[0023] This disclosure discloses a high-temperature thermal storage system based on self-healing solid waste substrate. Through the standardized modular structure of honeycomb thermal storage modules and the self-healing solid waste substrate thermal storage material with characteristics such as resistance to molten salt corrosion, active self-healing at medium and low temperatures, and high-temperature stability, combined with a collaborative monitoring module, a mutually supportive system-level maintenance optimization technical solution is formed. This not only solves the problems of high-temperature corrosion and thermal stress cracking, but also significantly reduces maintenance costs and extends system life through modular design and intelligent monitoring. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the structure of a high-temperature thermal storage system based on a self-healing solid waste substrate according to an embodiment of this disclosure;

[0025] Figure 2 This is a schematic diagram of the structure of a self-healing solid waste-based thermal storage material unit according to another embodiment of this disclosure. Detailed Implementation

[0026] The technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this disclosure, and not all of them. Based on the embodiments of this disclosure, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this disclosure.

[0027] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this disclosure. However, those skilled in the art will recognize that the technical solutions of this disclosure can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this disclosure.

[0028] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0029] It should be understood that although the terms first, second, third, etc., may be used in this disclosure to describe various components, these components should not be limited by these terms. These terms are used to distinguish one component from another. Therefore, the first component discussed below may be referred to as the second component without departing from the teachings of this disclosure. As used in this disclosure, the term "and / or" includes all combinations of any and more of the associated listed items.

[0030] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of exemplary embodiments, and the modules or processes in the drawings are not necessarily necessary for implementing this disclosure, and therefore cannot be used to limit the scope of protection of this disclosure.

[0031] like Figure 1As shown, embodiments of this disclosure provide a high-temperature thermal storage system based on self-healing solid waste, including a honeycomb thermal storage module 100 and a collaborative monitoring module 200. The honeycomb thermal storage module 100 includes multiple self-healing solid waste-based thermal storage material units 110. The collaborative monitoring module 200 includes an infrared thermal imager 210, a piezoelectric ceramic sensor 220, and an electrochemical impedance spectroscopy probe 230. The infrared thermal imager 210 is non-contactly disposed on the outside of the honeycomb thermal storage module 100 to acquire the surface temperature field distribution of the honeycomb thermal storage module 100. The piezoelectric ceramic sensor 220 is embedded in the self-healing solid waste-based thermal storage material unit 110 to acquire microcrack signals and thermal stress signals within the thermal storage material. The electrochemical impedance spectroscopy probe 230 is contact-disposed at the target interface of the self-healing solid waste-based thermal storage material unit to acquire the corrosion rate of the thermal storage material surface.

[0032] Specifically, the honeycomb thermal storage module 100, through structural innovation, divides the thermal storage material into "honeycomb" thermal storage material units 110 that are easy to transport and install. Each unit is a standardized module that can be replaced independently, significantly reducing construction difficulty, shortening maintenance cycles, and lowering maintenance costs. The self-healing solid waste-based thermal storage material unit 110, through material innovation, utilizes solid waste to form a self-healing material, which actively repairs micro-cracks caused by corrosion or other factors during the service of the molten salt thermal storage system within a specific temperature range, preventing leakage. The collaborative monitoring module 200 uses sensors and artificial intelligence to monitor the core temperature field, stress field, and leakage status online, and performs fault detection, diagnosis, and early warning based on the monitoring results. This includes: assessing the location and size of local leakage hotspots through surface temperature field distribution collected by an infrared thermal imager; assessing thermal stress damage through principal stress direction and tensile / compressive stress data collected by a piezoelectric ceramic sensor; identifying micro-cracks through acoustic emission signals collected by a piezoelectric ceramic sensor; and collecting the local corrosion rate on the surface of the thermal storage material through an electrochemical impedance spectroscopy (EIS) probe. Alternatively, temperature sensors can be embedded in self-healing solid waste-based thermal storage material units to assess the unit's heat exchange capacity and heat leakage level through temperature distribution. Finally, the collaborative monitoring module can acquire the temperature and stress field distribution of the high-temperature thermal storage system in real time, thereby achieving accurate identification and location of leaks and cracks.

[0033] Before a high-temperature thermal storage system is put into use, all sensors should be calibrated to obtain zero-point error. During the use of the high-temperature thermal storage system, data from each sensor should be collected regularly to obtain the equipment parameters and status based on the data.

[0034] For example, the self-healing solid waste-based thermal storage material includes a solid waste matrix and a self-healing agent. The solid waste matrix includes, but is not limited to, one or more of coal gangue, shale, tailings, and slag. The self-healing agent includes a stearic acid (SA)-poly4-vinylpyridine (P4VP) dynamic hydrogen bond network and FeO-GNS nanoparticles.

[0035] As a specific embodiment, the matrix is ​​composed of 65% coal gangue, 34% iron tailings and 1% high-alumina cement by mass, and the self-healing agent is composed of 30% stearic acid-poly4-vinylpyridine dynamic hydrogen bond network and 70% FeO-GNS nanoparticles by mass.

[0036] The self-healing solid waste-based thermal storage material composed of the above components has the characteristics of resistance to molten salt corrosion, active self-healing at medium and low temperatures, and high temperature stability. It can be prepared by the following method: Powdered solid waste and high-alumina cement are mixed evenly at a weight ratio of 10:1, and 30 parts of water are added and stirred thoroughly to form a slurry. The slurry is then poured into a mold and sintered to obtain a green body. Five parts of microencapsulated self-healing agent are added to the green body at a weight ratio, and then the material is placed in a drying oven and dried at 80°C for 12 hours. The dried material is then placed in a muffle furnace and sintered at 950°C for 6 hours to obtain the self-healing solid waste-based thermal storage material.

[0037] The above preparation method is simple and reliable. The self-healing agent can be embedded in microencapsulation through electrostatic adsorption, binders, or powder metallurgy. The FeO-GNS nanoparticles in the self-healing agent can be added using sol-gel method, hydrothermal method, atomization method, or spraying method.

[0038] For example, such as Figure 2 As shown, the self-healing solid waste-based thermal energy storage material unit 110 has a hexagonal prism structure. For example, its side length can be 0.5m, and its height can range from 0.5m to 2m. A spiral steel frame 111 is embedded at the center of the hexagonal prism structure, and it has a ceramic interface 112 and a pin 113. Multiple units are connected by mortise and tenon ceramic interfaces 112 and pins 113, and are encapsulated in a steel shell 120 to form a honeycomb thermal energy storage module 100.

[0039] For example, the number of various sensors used in the collaborative monitoring module can be determined according to the specific working conditions. As a specific embodiment, the data types collected by the sensors and the specific steps of algorithm analysis are as follows:

[0040] Step S1: Use an infrared thermal imager to collect surface temperature distribution data of the honeycomb thermal storage module, and calculate the average temperature difference X1 at the surface.

[0041] Step S2: Use a piezoelectric ceramic sensor to collect acoustic emission signals or thermal stress signals of microcracks inside the thermal storage material, and obtain microcrack-related data or thermal stress data X2 through acoustic emission signal processing.

[0042] Step S3: Use an electrochemical impedance spectroscopy probe to collect the local corrosion rate X3 on the surface of the thermal storage material;

[0043] Step S4: Based on the data from steps S1 to S3, establish a feature set X = {X1, X2, ..., X}. n};

[0044] Step S5: Use the feature set X to train the Random Forest (RF) regression model to obtain the fault prediction model;

[0045] Step S6: Use the trained fault prediction model and target samples to make predictions. If the predicted value is less than the preset threshold ε (e.g., 0.05), the high-temperature thermal storage system is determined to be faulty; otherwise, it is determined to be fault-free.

[0046] The training process in step S5 is as follows: First, the feature set X is normalized to obtain the normalized feature set X'. Then, the optimal hyperparameters are obtained by using the grid search method to find the optimal parameters of the RF model. Finally, the RF model with the optimal parameters is trained and fitted using the feature set X'.

[0047] For example, when an anomaly is determined in step S6 of the high-temperature thermal storage system, the interlocking mechanism identifies one or more self-healing solid waste-based thermal storage material units that need to be replaced. Then, a spare unit of the same type is used to quickly and targetedly replace the faulty unit. Even when the high-temperature thermal storage system is not determined to be faulty (i.e., the predicted value of the fault prediction model is greater than the threshold ε), the thermal storage material unit may still have micro-damage. In this case, the self-healing capability of the self-healing solid waste-based thermal storage material unit can be used to address the micro-damage.

[0048] This disclosure discloses a high-temperature thermal storage system based on self-healing solid waste substrate. Through the standardized modular structure of honeycomb thermal storage modules and the self-healing solid waste substrate thermal storage material with characteristics such as resistance to molten salt corrosion, active self-healing at medium and low temperatures, and high-temperature stability, combined with a collaborative monitoring module, a mutually supportive system-level maintenance optimization technical solution is formed. This not only solves the problems of high-temperature corrosion and thermal stress cracking, but also significantly reduces maintenance costs and extends system life through modular design and intelligent monitoring.

[0049] It is understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of this disclosure, and this disclosure is not limited thereto. For those skilled in the art, various modifications and improvements can be made without departing from the spirit and substance of this disclosure, and these modifications and improvements are also considered to be within the scope of protection of this disclosure.

Claims

1. A high-temperature thermal storage system based on self-healing solid waste, characterized in that, The system includes a honeycomb thermal storage module, a collaborative monitoring module, and a steel outer shell; The honeycomb thermal storage module includes multiple self-healing solid waste-based thermal storage material units; the collaborative monitoring module includes an infrared thermal imager, a piezoelectric ceramic sensor, and an electrochemical impedance spectroscopy probe. The infrared thermal imager is non-contactly disposed on the outside of the honeycomb thermal storage module to acquire the surface temperature field distribution of the honeycomb thermal storage module. The piezoelectric ceramic sensor is embedded in the self-healing solid waste-based thermal storage material unit to acquire microcrack signals and thermal stress signals inside the thermal storage material. The electrochemical impedance spectroscopy probe is contact-mounted at the target interface of the self-healing solid waste-based thermal storage material unit to obtain the corrosion rate on the surface of the thermal storage material; wherein, The self-healing solid waste-based thermal storage material is prepared by the following method: powdered solid waste and high-alumina cement are mixed at a weight ratio of 10:1, and then stirred with water to form a slurry. The slurry is then molded and sintered to obtain a green body. A microencapsulated self-healing agent is added to the green body, and the material is dried and sintered at high temperature to obtain the self-healing solid waste-based thermal storage material. The solid waste includes one or more of the following: coal gangue, shale, tailings, and slag. The self-healing solid waste-based thermal storage material unit is a hexagonal prism structure with an internal spiral steel frame; the units are connected by mortise and tenon ceramic interfaces and pins. The multiple self-healing solid waste-based thermal storage material units are encapsulated within the steel outer shell.

2. The system according to claim 1, characterized in that, The self-healing agent comprises a stearic acid-poly4-vinylpyridine dynamic hydrogen bond network and FeO-GNS nanoparticles.

3. The system according to claim 1 or 2, characterized in that, The collaborative monitoring module is configured to: establish a feature set based on the temperature field distribution, the microcrack signal and thermal stress signal and the corrosion rate data, use a trained random forest regression model to predict faults, and determine that the high-temperature thermal storage system is faulty when the predicted value is lower than a preset threshold.

4. The system according to claim 3, characterized in that, When a fault is detected in the high-temperature thermal storage system, the interlocking mechanism determines which self-healing solid waste-based thermal storage material unit needs to be replaced.

5. The system according to claim 4, characterized in that, When a self-healing solid waste-based thermal storage material unit that needs to be replaced is identified, the unit is replaced accordingly.

6. The system according to claim 3, characterized in that, When the high-temperature thermal storage system is not identified as faulty, the self-healing capability of the self-healing solid waste-based thermal storage material unit is used to treat micro-damage.

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