An artificial intelligence-based heat storage heating system

By constructing temperature change curves and adjusting the power and temperature of the molten salt pump and electric heating device, the problem of low molten salt energy storage efficiency was solved, achieving the effects of high-efficiency energy storage and energy saving.

CN116379497BActive Publication Date: 2026-04-17HEBEI UNIV OF TECH
View PDF 3 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HEBEI UNIV OF TECH
Filing Date
2023-03-23
Publication Date
2026-04-17

AI Technical Summary

Technical Problem

Existing technologies have failed to effectively adjust the changes in phase change heat during energy storage, resulting in low efficiency and energy waste in molten salt energy storage, and a lack of automated intelligent control systems.

Method used

An AI-based thermal storage heating system is adopted. By setting temperature sensors and a central control processor, a temperature change curve is constructed, and the power and temperature of the molten salt pump and electric heating device are adjusted to optimize the heating rate and residence time of the molten salt solution, thereby achieving intelligent control.

Benefits of technology

It improves the energy storage efficiency of molten salt, reduces energy waste, and realizes the efficient energy storage and heat release process of molten salt solution.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN116379497B_ABST
    Figure CN116379497B_ABST
Patent Text Reader

Abstract

The present application relates to the technical field of heat supply, and particularly relates to a heat storage heat supply system based on artificial intelligence. The heat storage heat supply device and the central control processor are arranged. The central control processor constructs a temperature change curve based on temperature data detected by a temperature sensor within a preset time, determines an average heating rate of a molten salt solution when the molten salt solution is heated by an electric heating device based on the temperature change curve, adjusts the power of a first molten salt pump and a second molten salt pump based on the average heating rate of the molten salt solution, and obtains temperature data detected by the temperature sensor in real time after the adjustment. The heating temperature of the electric heating device is adjusted based on the temperature difference between the maximum value of the temperature data and the heating temperature of the electric heating device, so as to improve the molten salt energy storage efficiency and save energy on the basis of ensuring the molten salt energy storage effect.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This invention relates to the field of heating technology, and in particular to a heat storage heating system based on artificial intelligence. Background Technology

[0002] Molten salt is a common fertilizer raw material. Throughout the entire operating temperature range, molten salt remains in a liquid state, absorbing energy such as electrical energy and radiant energy. When the ambient temperature is lower than the molten salt temperature, it releases the heat energy, thus realizing the storage of heat energy by temperature difference during the heating or cooling process. It is widely used due to its advantages such as a wide liquid temperature range, large heat storage temperature difference, high heat storage density, good heat transfer performance, stable working state, and low cost.

[0003] Chinese Patent Publication No. CN112325358A discloses the following: This invention relates to a green energy heating system and method based on molten salt thermal storage technology, belonging to the field of heating technology. The system includes a heating pump, a high-temperature molten salt storage tank, a high-temperature molten salt pump, a flow meter, a heat exchanger, a heating unit, a low-temperature molten salt pump, a heat recovery unit, and a low-temperature molten salt storage tank. Waste clean energy is used to heat molten salt from the low-temperature molten salt storage tank via the heating pump. The heated high-temperature molten salt is stored in the high-temperature molten salt storage tank. The high-temperature molten salt is then pumped through the flow meter to the heat exchanger, where it converts the heat from the molten salt into room-temperature water. The heated water is then delivered to users by the heating unit, which regulates the water temperature and reduces fluctuations in the supplied water temperature. This invention is clean, environmentally friendly, and pollution-free, with high energy storage density, solving the problem of wasted surplus energy. It can provide steam heating, effectively utilizing abundant electricity resources and is easy to promote and apply.

[0004] However, the following problems still exist in the existing technology:

[0005] In existing technologies, no automated intelligent control system has been developed to adjust the circulation time and heating temperature of the molten salt solution based on the change in phase change heat during energy storage, in order to improve the efficiency of molten salt energy storage and save energy while ensuring the effectiveness of molten salt energy storage. Summary of the Invention

[0006] To address the above problems, this invention provides an artificial intelligence-based thermal storage heating system, comprising:

[0007] A thermal storage and heating device includes an electric heating device for heating a molten salt solution, a high-temperature storage tank for storing the heated molten salt solution, a heat exchange device for transferring the heat of the heated molten salt solution to a heating pipe, and a low-temperature storage tank for storing the molten salt solution after heat exchange. The electric heating device is equipped with a temperature sensor to obtain the temperature of the molten salt solution within it. The outlet of the electric heating device is connected to the inlet of the high-temperature storage tank via a first pipeline. The outlet of the high-temperature storage tank is connected to the inlet of the heat exchange device via a second pipeline. The outlet of the heat exchange device is connected to the inlet of the low-temperature storage tank via a third pipeline. The outlet of the low-temperature storage tank is connected to the inlet of the electric heating device via a fourth pipeline. A first molten salt pump is installed on the fourth pipeline to control the flow rate of the molten salt solution through the electric heating device. A second molten salt pump is installed on the second pipeline to control the flow rate of the molten salt solution through the heat exchange device.

[0008] The central control processor includes interconnected phase change analysis units and control units.

[0009] The phase change analysis unit is connected to the temperature sensor to construct a temperature change curve based on the temperature data detected by the temperature sensor within a preset time, and to determine the average heating rate of the molten salt solution when the electric heating device heats the molten salt solution based on the temperature change curve.

[0010] The control unit is connected to the first molten salt pump, the second molten salt pump, and the electric heating device. It is used to adjust the power of the first molten salt pump and the second molten salt pump based on the average heating rate of the molten salt solution. After adjustment, it acquires the temperature data detected by the temperature sensor in real time and adjusts the heating temperature of the electric heating device based on the temperature difference between the maximum value of the temperature data and the heating temperature of the electric heating device.

[0011] Furthermore, the phase change analysis unit constructs a temperature change curve based on the temperature data, wherein,

[0012] The phase change analysis unit constructs a temperature change curve f(x) with time as the X-axis and the temperature data as the Y-axis.

[0013] Furthermore, the phase transition analysis unit divides the temperature change curve f(x) into several curve segments using several straight lines parallel to the Y-axis and spaced equally, determines the slope k at the midpoint of each curve segment, and determines whether the curve segment corresponding to the slope k has an upward trend based on the slope k.

[0014] Under preset conditions, the phase transition analysis unit determines that the curve segment corresponding to the slope k has an upward trend;

[0015] The preset condition is k > 0.

[0016] Furthermore, the phase change analysis unit calculates the average heating rate V of the molten salt solution according to formula (1).

[0017]

[0018] In formula (1), k i The slope of the i-th curve segment with an upward trend is represented by n, where n represents the number of curve segments with an upward trend in the temperature change curve, and i represents an integer greater than 0.

[0019] Furthermore, the control unit compares the average heating rate V with preset first rate comparison threshold V1 and second rate comparison threshold V2, and adjusts the power of the first molten salt pump according to the comparison result.

[0020] Under the first rate comparison condition, the control unit adjusts the power of the first molten salt pump to a first power value P1;

[0021] Under the second rate comparison condition, the control unit adjusts the power of the first molten salt pump to the second power value P2;

[0022] Under the third rate comparison condition, the control unit adjusts the power of the first molten salt pump to the third power value P3;

[0023] Wherein, the first rate comparison condition is V≥V2, the second rate comparison condition is V1≤V<V2, and the third rate comparison condition is V<V1, P1<P2<P3.

[0024] Furthermore, the control unit compares the average heating rate V with preset first rate comparison threshold V1 and second rate comparison threshold V2, and adjusts the power of the second molten salt pump according to the comparison result.

[0025] Under the first rate comparison condition, the control unit adjusts the power of the second molten salt pump to the fourth power value P4;

[0026] Under the second rate comparison condition, the control unit adjusts the power of the second molten salt pump to the fifth power value P5;

[0027] Under the third rate comparison condition, the control unit adjusts the power of the second molten salt pump to the sixth power value P6;

[0028] Among them, P4 < P5 < P6.

[0029] Furthermore, the control unit calculates the temperature difference ΔT according to formula (2).

[0030] △T=|T m -T|(2)

[0031] In formula (2), Tm represents the maximum value of the temperature data detected by the temperature sensor, and T represents the heating temperature of the electric heating device.

[0032] Furthermore, the control unit compares the temperature difference ΔT with preset first temperature difference comparison thresholds ΔT1 and ΔT2, and adjusts the heating temperature T of the electric heating device according to the comparison results.

[0033] Under the condition of the first temperature difference comparison, the control unit adjusts the heating temperature T of the electric heating device to the first heating temperature value T1 according to the preset first heating temperature adjustment parameter t1, and sets T1 = T - t1;

[0034] Under the second temperature difference comparison condition, the control unit adjusts the heating temperature T of the electric heating device to the second heating temperature value T2 according to the preset second heating temperature adjustment parameter t2, and sets T2 = T - t2;

[0035] The first temperature difference comparison condition is △T1≤△T<△T2, and the second temperature difference comparison condition is △T≥△T2, t1<t2, and T1>T2.

[0036] Furthermore, the molten salt comprises carbonates, chlorides, nitrates, and fluorides.

[0037] Furthermore, the high-temperature storage tank and the low-temperature storage tank are equipped with heat-insulating inner walls to reduce heat loss.

[0038] Compared with existing technologies, this invention improves the energy storage efficiency of molten salt and saves energy while ensuring the energy storage effect of molten salt by setting up a heat storage and heating device and a central control processor. The central control processor constructs a temperature change curve based on the temperature data detected by the temperature sensor within a preset time, and determines the average heating rate of the molten salt solution when the electric heating device heats the molten salt solution based on the temperature change curve. Based on the average heating rate of the molten salt solution, the power of the first molten salt pump and the second molten salt pump are adjusted, and the temperature data detected by the temperature sensor is acquired in real time after adjustment. The heating temperature of the electric heating device is adjusted based on the temperature difference between the maximum value of the temperature data and the heating temperature of the electric heating device, so as to improve the energy storage efficiency of molten salt and save energy while ensuring the energy storage effect of molten salt.

[0039] In particular, in this invention, the phase change analysis unit determines the average heating rate of the molten salt solution when the electric heating device heats the molten salt solution based on the temperature change curve. In practice, the slope of the temperature change curve represents the rate of temperature change. If the slope is greater than 0, it indicates that the temperature is rising. Therefore, the average value of the slopes with a slope greater than 0 in the temperature change curve can reliably represent the average heating rate of the molten salt solution, ensuring the effectiveness of subsequent adjustments to the operating parameters based on the average heating rate of the molten salt solution.

[0040] In particular, in this invention, the control unit adjusts the power of the first molten salt pump based on the average heating rate of the molten salt solution. In practice, the phase change heat of molten salt changes during energy storage. The average heating rate of the molten salt solution characterizes the phase change heat of the molten salt. The higher the average heating rate of the molten salt solution, the higher the phase change heat of the molten salt. At this time, the residence time of the molten salt solution in the electric heating device should be longer to ensure that the molten salt solution absorbs enough heat. In this invention, the residence time of the molten salt solution in the electric heating device is controlled by adjusting the power of the first molten salt pump. The lower the power of the first molten salt pump, the smaller the flow rate of the molten salt solution through the electric heating device, which increases the residence time of the molten salt solution in the electric heating device. The power of the first molten salt pump is reliably adjusted by the average heating rate of the molten salt solution, thereby improving the efficiency of molten salt energy storage.

[0041] In particular, in this invention, the control unit adjusts the power of the second molten salt pump based on the average heating rate of the molten salt solution. In practice, the higher the average heating rate of the molten salt solution, the higher the phase change heat of the molten salt. At this time, the residence time of the molten salt solution in the heat exchange device should be longer to ensure that the molten salt solution releases sufficient heat. This is the same principle as controlling the residence time of the molten salt solution in the electric heating device by adjusting the power of the first molten salt pump. In this invention, the residence time of the molten salt solution in the heat exchange device is controlled by adjusting the power of the second molten salt pump. If the residence time of the molten salt solution in the heat exchange device is to be increased, the power of the second molten salt pump should be reduced. The power of the second molten salt pump is reliably adjusted by the average heating rate of the molten salt solution, thereby improving the efficiency of molten salt heat release.

[0042] In particular, in this invention, the control unit adjusts the heating temperature of the electric heating device based on the temperature difference between the maximum value of the temperature data and the heating temperature of the electric heating device. In practice, the maximum value of the temperature data detected by the temperature sensor in the electric heating device is the highest temperature that the molten salt solution can reach after absorbing heat. Since the highest temperature that the molten salt solution can reach after being heated by the electric heating device is limited by the phase change heat of the molten salt, the temperature of the molten salt solution will not rise after reaching the highest temperature. If the heating temperature of the electric heating device is too high, it will lead to energy waste. Since the temperature data detected by the temperature sensor is a constant value, and the temperature data detected by the temperature sensor is less than or equal to the heating temperature of the electric heating device, if the temperature difference is larger, it indicates that the heating temperature of the electric heating device is too high. After adjusting the heating temperature of the electric heating device, the heating temperature should be lower, thus saving energy while ensuring the energy storage effect of the molten salt. Attached Figure Description

[0043] Figure 1 A schematic diagram of the structure of an artificial intelligence-based thermal storage heating system according to an embodiment of the invention;

[0044] Figure 2 This is a simplified structural diagram of the central control processor in an embodiment of the invention;

[0045] In the diagram, 1: first pipeline, 2: electric heating device, 3: temperature sensor, 4: first flow sensor, 5: fourth pipeline, 6: high-temperature storage tank, 7: second molten salt pump, 8: second flow sensor, 9: second pipeline, 10: heat exchange device, 11: first molten salt pump, 12: low-temperature storage tank, 13: third pipeline. Detailed Implementation

[0046] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0047] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0048] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0049] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0050] Please see Figure 1 as well as Figure 2 The diagram shown is a schematic diagram of the structure of an artificial intelligence-based thermal storage heating system and a simplified diagram of the central control processor according to an embodiment of the present invention. The artificial intelligence-based thermal storage heating system of the present invention includes:

[0051] A thermal storage and heating device includes an electric heating device 2 for heating a molten salt solution, a high-temperature storage tank 6 for storing the heated molten salt solution, a heat exchange device 10 for transferring the heat of the heated molten salt solution to a heating pipe, and a low-temperature storage tank 12 for storing the molten salt solution after heat exchange. The electric heating device 2 is equipped with a temperature sensor 3 to obtain the temperature of the molten salt solution inside the electric heating device 2. The outlet of the electric heating device 2 is connected to the inlet of the high-temperature storage tank 6 via a first pipeline 1. The outlet of the heat exchange device 10 is connected to the inlet of the heat exchange device 10 through a second pipeline 9. The outlet of the heat exchange device 10 is connected to the inlet of the low-temperature storage tank 12 through a third pipeline 13. The outlet of the low-temperature storage tank 12 is connected to the inlet of the electric heating device 2 through a fourth pipeline 5. A first molten salt pump 11 is installed on the fourth pipeline 5 to control the flow rate of the molten salt solution through the electric heating device 2. A second molten salt pump 7 is installed on the second pipeline 9 to control the flow rate of the molten salt solution through the heat exchange device 10.

[0052] The central control processor includes interconnected phase change analysis units and control units.

[0053] The phase change analysis unit is connected to the temperature sensor 3 to construct a temperature change curve based on the temperature data detected by the temperature sensor 3 within a preset time, and to determine the average heating rate of the molten salt solution when the electric heating device 2 heats the molten salt solution based on the temperature change curve.

[0054] The control unit is connected to the first molten salt pump 11, the second molten salt pump 7, and the electric heating device 2. It is used to adjust the power of the first molten salt pump 11 and the second molten salt pump 7 based on the average heating rate of the molten salt solution. After adjustment, it acquires the temperature data detected by the temperature sensor 3 in real time and adjusts the heating temperature of the electric heating device 2 based on the temperature difference between the maximum value of the temperature data and the heating temperature of the electric heating device 2.

[0055] Specifically, a first flow sensor 4 is also installed on the fourth pipeline 5 to obtain the flow rate of the molten salt solution through the electric heating device 2.

[0056] Specifically, a second flow sensor 8 is also installed on the second pipeline 9 to detect the flow rate of the molten salt solution through the heat exchange device 10.

[0057] Specifically, the present invention does not limit the specific structure of the electric heating device 2. It can be an electric heater, which only needs to be able to perform the function of heating the molten salt solution. This is existing technology and will not be described in detail.

[0058] Specifically, the present invention does not limit the specific structure of the high-temperature storage tank 6 and the low-temperature storage tank 12. They can be cylindrical horizontal tanks, which only need to be able to perform the function of storing molten salt solution, and will not be described in detail.

[0059] Specifically, the present invention does not limit the specific structure of the heat exchange device 10. It can be a heat exchanger, which only needs to be able to transfer the heat of the heated molten salt solution to the heating pipe. This is a mature existing technology and will not be described in detail here.

[0060] Specifically, the present invention does not limit the specific structure of the temperature sensor 3, the first flow sensor 4, and the second flow sensor 8. It can adopt a combination structure of sensor and data interaction module so that the central control processor can obtain the data detected by the sensor through the data interaction module. It only needs to be able to perform the functions of detecting the temperature of the molten salt solution in the electric heating device 2, the flow rate of the molten salt solution through the electric heating device 2, and the flow rate of the molten salt solution through the heat exchange device 10, respectively. This is the prior art and will not be described in detail here.

[0061] Specifically, the present invention does not limit the specific structure of the first molten salt pump 11 and the second molten salt pump 7. They can be axial flow pumps, which only need to be able to perform the function of transporting molten salt solution. This is a mature existing technology and will not be described in detail here.

[0062] Specifically, the present invention does not limit the specific form of the central control processor. It can be an external computer, in which each unit is a different functional program in the computer. It only needs to be able to complete the functions of data processing and data exchange. This is existing technology and will not be described in detail.

[0063] Specifically, the phase change analysis unit constructs a temperature change curve based on the temperature data, wherein,

[0064] The phase change analysis unit constructs a temperature change curve f(x) with time as the X-axis and the temperature data as the Y-axis.

[0065] Specifically, the phase transition analysis unit divides the temperature change curve f(x) into several curve segments using several straight lines parallel to the Y-axis and spaced equally. It determines the slope k at the midpoint of each curve segment and, based on the slope k, determines whether the curve segment corresponding to slope k exhibits an upward trend.

[0066] Under preset conditions, the phase transition analysis unit determines that the curve segment corresponding to the slope k has an upward trend;

[0067] The preset condition is k > 0.

[0068] Specifically, the phase change analysis unit calculates the average heating rate V of the molten salt solution according to formula (1).

[0069]

[0070] In formula (1), k i The slope of the i-th curve segment with an upward trend is represented by n, where n represents the number of curve segments with an upward trend in the temperature change curve, and i represents an integer greater than 0.

[0071] Specifically, in this invention, the phase change analysis unit determines the average heating rate of the molten salt solution when the electric heating device 2 heats the molten salt solution based on the temperature change curve. In practice, the slope of the temperature change curve represents the rate of temperature change. If the slope is greater than 0, it indicates that the temperature is rising. Therefore, the average value of the slopes with a slope greater than 0 in the temperature change curve can reliably represent the average heating rate of the molten salt solution, ensuring the effectiveness of subsequent adjustments to the operating parameters based on the average heating rate of the molten salt solution.

[0072] Specifically, the control unit compares the average heating rate V with preset first rate comparison threshold V1 and second rate comparison threshold V2, where 0 < V1 < V2, and adjusts the power of the first molten salt pump 11 according to the comparison results.

[0073] Under the first rate comparison condition, the control unit adjusts the power of the first molten salt pump 11 to a first power value P1;

[0074] Under the second rate comparison condition, the control unit adjusts the power of the first molten salt pump 11 to the second power value P2;

[0075] Under the third rate comparison condition, the control unit adjusts the power of the first molten salt pump 11 to the third power value P3;

[0076] The first rate comparison condition is V≥V2, the second rate comparison condition is V1≤V<V2, and the third rate comparison condition is V<V1, P1<P2<P3<500KW.

[0077] Specifically, in this invention, the control unit adjusts the power of the first molten salt pump 11 based on the average heating rate of the molten salt solution. In practice, the phase change heat of molten salt changes during energy storage. The average heating rate of the molten salt solution characterizes the phase change heat of the molten salt. The higher the average heating rate of the molten salt solution, the higher the phase change heat of the molten salt. At this time, the residence time of the molten salt solution in the electric heating device 2 should be longer to ensure that the molten salt solution absorbs enough heat. In this invention, the residence time of the molten salt solution in the electric heating device 2 is controlled by adjusting the power of the first molten salt pump 11. The lower the power of the first molten salt pump 11, the smaller the flow rate of the molten salt solution through the electric heating device 2, which increases the residence time of the molten salt solution in the electric heating device 2. The power of the first molten salt pump 11 is reliably adjusted by the average heating rate of the molten salt solution, thereby improving the efficiency of molten salt energy storage.

[0078] Specifically, the control unit compares the average heating rate V with preset first rate comparison threshold V1 and second rate comparison threshold V2, where 0 < V1 < V2, and adjusts the power of the second molten salt pump 7 according to the comparison result.

[0079] Under the first rate comparison condition, the control unit adjusts the power of the second molten salt pump 7 to the fourth power value P4;

[0080] Under the second rate comparison condition, the control unit adjusts the power of the second molten salt pump 7 to the fifth power value P5;

[0081] Under the third rate comparison condition, the control unit adjusts the power of the second molten salt pump 7 to the sixth power value P6;

[0082] Among them, P4 < P5 < P6 < 500KW.

[0083] Specifically, in this invention, the control unit adjusts the power of the second molten salt pump 7 based on the average heating rate of the molten salt solution. In practice, the higher the average heating rate of the molten salt solution, the higher the phase change heat of the molten salt. At this time, the residence time of the molten salt solution in the heat exchange device 10 should be longer to ensure that the molten salt solution releases sufficient heat. This is the same principle as controlling the residence time of the molten salt solution in the electric heating device 2 by adjusting the power of the first molten salt pump 11. In this invention, the residence time of the molten salt solution in the heat exchange device 10 is controlled by adjusting the power of the second molten salt pump 7. If the residence time of the molten salt solution in the heat exchange device 10 is to be increased, the power of the second molten salt pump 7 should be reduced. The power of the second molten salt pump 7 is reliably adjusted by the average heating rate of the molten salt solution, thereby improving the efficiency of molten salt heat release.

[0084] Specifically, the control unit calculates the temperature difference ΔT according to formula (2).

[0085] △T=|T m -T|(2)

[0086] In formula (2), Tm represents the maximum value of the temperature data detected by the temperature sensor 3, and T represents the heating temperature of the electric heating device 2.

[0087] Specifically, the control unit compares the temperature difference ΔT with preset first temperature difference comparison thresholds ΔT1 and ΔT2, where 0 < ΔT1 < ΔT2, and adjusts the heating temperature T of the electric heating device 2 according to the comparison results.

[0088] Under the first temperature difference comparison condition, the control unit adjusts the heating temperature T of the electric heating device 2 to the first heating temperature value T1 according to the preset first heating temperature adjustment parameter t1, and sets T1 = T - t1;

[0089] Under the second temperature difference comparison condition, the control unit adjusts the heating temperature T of the electric heating device 2 to the second heating temperature value T2 according to the preset second heating temperature adjustment parameter t2, and sets T2 = T - t2;

[0090] The first temperature difference comparison condition is △T1≤△T<△T2, and the second temperature difference comparison condition is △T≥△T2, t1<t2<300℃, and 1500℃>T1>T2.

[0091] Specifically, in this invention, the control unit adjusts the heating temperature of the electric heating device 2 based on the temperature difference between the maximum value of the temperature data and the heating temperature of the electric heating device 2. In practice, the maximum value of the temperature data detected by the temperature sensor 3 in the electric heating device 2 is the highest temperature that the molten salt solution can reach after absorbing heat. Since the highest temperature that the molten salt solution can reach after being heated by the electric heating device 2 is limited by the phase change heat of the molten salt, the temperature of the molten salt solution will not rise after reaching the highest temperature. If the heating temperature of the electric heating device 2 is too high, it will lead to energy waste. Since the temperature data detected by the temperature sensor 3 is a constant value, and the temperature data detected by the temperature sensor 3 is less than or equal to the heating temperature of the electric heating device 2, if the temperature difference is larger, it indicates that the heating temperature of the electric heating device 2 is too high. After adjusting the heating temperature of the electric heating device 2, the heating temperature should be lower, so as to save energy while ensuring the energy storage effect of the molten salt.

[0092] Specifically, the molten salt comprises carbonates, chlorides, nitrates, and fluorides.

[0093] Specifically, the high-temperature storage tank and the low-temperature storage tank are equipped with heat-insulating inner walls to reduce heat loss.

[0094] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. An artificial intelligence-based heat storage heating system, characterized by, include: A thermal storage and heating device includes an electric heating device for heating a molten salt solution, a high-temperature storage tank for storing the heated molten salt solution, a heat exchange device for transferring the heat of the heated molten salt solution to a heating pipe, and a low-temperature storage tank for storing the molten salt solution after heat exchange. The electric heating device is equipped with a temperature sensor to obtain the temperature of the molten salt solution within it. The outlet of the electric heating device is connected to the inlet of the high-temperature storage tank via a first pipeline. The outlet of the high-temperature storage tank is connected to the inlet of the heat exchange device via a second pipeline. The outlet of the heat exchange device is connected to the inlet of the low-temperature storage tank via a third pipeline. The outlet of the low-temperature storage tank is connected to the inlet of the electric heating device via a fourth pipeline. A first molten salt pump is installed on the fourth pipeline to control the flow rate of the molten salt solution through the electric heating device. A second molten salt pump is installed on the second pipeline to control the flow rate of the molten salt solution through the heat exchange device. The central control processor includes interconnected phase change analysis units and control units. The phase change analysis unit is connected to the temperature sensor to construct a temperature change curve based on the temperature data detected by the temperature sensor within a preset time, and to determine the average heating rate of the molten salt solution when the electric heating device heats the molten salt solution based on the temperature change curve. The control unit is connected to the first molten salt pump, the second molten salt pump, and the electric heating device. It is used to adjust the power of the first molten salt pump and the second molten salt pump based on the average heating rate of the molten salt solution. After adjustment, it acquires the temperature data detected by the temperature sensor in real time and adjusts the heating temperature of the electric heating device based on the temperature difference between the maximum value of the temperature data and the heating temperature of the electric heating device.

2. The artificial intelligence-based thermal storage heating system of claim 1, wherein, The phase transition analysis unit constructs a temperature change curve based on the temperature data, wherein... The phase change analysis unit constructs a temperature change curve f(x) with time as the X-axis and the temperature data as the Y-axis.

3. The artificial intelligence-based thermal storage heating system of claim 2, wherein, The phase transition analysis unit divides the temperature change curve f(x) into several curve segments using several straight lines parallel to the Y-axis and spaced equally. It determines the slope k at the midpoint of each curve segment and, based on the slope k, determines whether the curve segment corresponding to slope k exhibits an upward trend. Under preset conditions, the phase transition analysis unit determines that the curve segment corresponding to the slope k has an upward trend; The preset condition is k > 0.

4. The artificial intelligence-based thermal storage heating system according to claim 3, characterized in that, The phase change analysis unit calculates the average heating rate V of the molten salt solution according to formula (1): (1); In Equation (1), k i represents the slope corresponding to the i-th curve segment in an upward trend, n represents the number of curve segments in an upward trend in the temperature change curve, and i represents an integer greater than 0.

5. The artificial intelligence-based thermal storage heating system according to claim 4, wherein, The control unit compares the average heating rate V with preset first rate comparison threshold V1 and second rate comparison threshold V2, and adjusts the power of the first molten salt pump according to the comparison results. Under the first rate comparison condition, the control unit adjusts the power of the first molten salt pump to a first power value P1; Under the second rate comparison condition, the control unit adjusts the power of the first molten salt pump to the second power value P2; Under the third rate comparison condition, the control unit adjusts the power of the first molten salt pump to the third power value P3; Wherein, the first rate comparison condition is V≥V2, the second rate comparison condition is V1≤V<V2, and the third rate comparison condition is V<V1, P1<P2<P3. 6.The artificial intelligence-based thermal storage heating system according to claim 1, wherein, The control unit calculates the temperature difference ΔT according to formula (2): (2); In formula (2), Tm represents the maximum value of the temperature data detected by the temperature sensor, and T represents the heating temperature of the electric heating device.

7. The artificial intelligence-based thermal storage heating system according to claim 6, wherein, The control unit compares the temperature difference ΔT with preset first temperature difference comparison thresholds ΔT1 and ΔT2, and adjusts the heating temperature T of the electric heating device according to the comparison results. Under the condition of the first temperature difference comparison, the control unit adjusts the heating temperature T of the electric heating device to the first heating temperature value T1 according to the preset first heating temperature adjustment parameter t1, and sets T1=T-t1; Under the second temperature difference comparison condition, the control unit adjusts the heating temperature T of the electric heating device to the second heating temperature value T2 according to the preset second heating temperature adjustment parameter t2, and sets T2=T-t2; The first temperature difference comparison condition is △T1≤△T<△T2, and the second temperature difference comparison condition is △T≥△T2, t1<t2, and T1>T2. 8.The artificial intelligence-based thermal storage heating system according to claim 1, wherein, The molten salt comprises carbonates, chlorides, nitrates, and fluorides. 9.The artificial intelligence-based thermal storage heating system according to claim 1, wherein, The high-temperature storage tank and the low-temperature storage tank are equipped with heat-insulating inner walls to reduce heat loss.

Citation Information

Patent Citations

  • Green energy heat supply system and method based on fused salt heat storage technology

    CN112325358A

  • Nuclear reactor and solar energy photo-thermal power generation combined system

    CN109026239A

  • Solar photo-thermal power station salt dissolving system based on heat conduction oil heat collection field

    CN113318675A