Multi-field coupling dynamic monitoring method and device for hot dry rock energy storage system in high altitude area, and electronic equipment

Abstract

The invention relates to the technical field of new energy storage and terrestrial heat development engineering, and discloses a multi-field coupling dynamic monitoring method for a hot dry rock energy storage system in a high-altitude area, and the method comprises the steps: constructing a multi-field coupling numerical model of a hot dry rock reservoir; wherein the multi-field coupling numerical model comprises simultaneous solution of a two-dimensional energy conservation equation, a two-dimensional seepage control equation and an elastic mechanics control equation; collecting monitoring data of the hot dry rock reservoir through a distributed optical fiber sensor; performing multi-field coupling analysis on the monitoring data according to the multi-field coupling numerical model to obtain an analysis result; and dynamically adjusting the hot dry rock energy storage system according to an analysis result. According to the method, the limitation of traditional single physical field monitoring is solved, so that the performance evaluation precision of the hot dry rock reservoir is improved, and the energy storage efficiency of the high-altitude hot dry rock reservoir is improved. The invention further discloses a multi-field coupling dynamic monitoring device and electronic equipment for the hot dry rock energy storage system in the high-altitude area.

Description

Technical Field

[0001] This application relates to the field of new energy storage and geothermal development engineering technology, such as a multi-field coupling dynamic monitoring method and device, and electronic equipment for dry hot rock energy storage systems in high-altitude areas. Background Technology

[0002] Currently, geothermal energy storage research lacks a dynamic monitoring system with multi-field coupling. High-altitude dry hot rock energy storage systems (such as Gonghe County in Qinghai Province, with an altitude exceeding 3,000 meters) face unique challenges: the coupling mechanism of high-temperature fluid seepage, rock heat conduction, and mechanical deformation within the reservoir is complex; the low-temperature and dry climate leads to signal attenuation and insufficient temperature resistance of traditional electronic sensors; the alternating effects of abandoned electricity heating and heating demand in the consumption of new energy cause dynamic changes in reservoir conditions, and existing technologies suffer from a high thermal energy loss rate of up to 40% due to the lack of real-time multi-field data control.

[0003] To enable dynamic monitoring of hot dry rock energy storage systems, relevant technologies employ a single physical field (such as temperature or pressure) for dynamic monitoring.

[0004] In the process of implementing the embodiments of this disclosure, at least the following problems were found in the related art: In related technologies, a single physical field cannot reveal the impact of multi-field interactions on energy storage efficiency, resulting in low accuracy in reservoir performance assessment.

[0005] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0007] This disclosure provides a multi-field coupled dynamic monitoring method, device, and electronic equipment for hot dry rock energy storage systems in high-altitude areas, in order to improve the accuracy of reservoir performance evaluation.

[0008] In some embodiments, the multi-field coupled dynamic monitoring method for hot dry rock energy storage systems in high-altitude areas includes: constructing a multi-field coupled numerical model of the hot dry rock reservoir; wherein the multi-field coupled numerical model includes solving a two-dimensional energy conservation equation, a two-dimensional seepage control equation, and an elasticity control equation simultaneously; collecting monitoring data of the hot dry rock reservoir through distributed optical fiber sensors; performing multi-field coupled analysis on the monitoring data based on the multi-field coupled numerical model to obtain analysis results; and dynamically adjusting the hot dry rock energy storage system based on the analysis results.

[0009] Optionally, a multi-field coupled numerical model of the hot dry rock reservoir is constructed, including: obtaining the distribution of the artificial fracture network in the hot dry rock reservoir; constructing a multi-field coupled numerical model of the hot dry rock reservoir based on the artificial fracture network; and inputting the model parameters into the multi-field coupled numerical model.

[0010] Optionally, the monitoring data includes temperature field, pressure field, fluid flow rate, and rock strain.

[0011] Optionally, monitoring data of the hot dry rock reservoir is collected using distributed optical fiber sensors, including: collecting monitoring data at different collection frequencies during the power curtailment and thermal storage phases and the heating phase; wherein the collection frequency corresponding to the power curtailment and thermal storage phase is lower than the collection frequency corresponding to the heating phase.

[0012] Optionally, based on a multi-field coupled numerical model, multi-field coupled analysis is performed on the monitoring data to obtain analysis results, including: establishing performance evaluation indicators for hot dry rock reservoirs; calculating performance evaluation indicators based on monitoring data to obtain thermal storage efficiency, thermal efficiency, and fracture aperture change rate.

[0013] Optionally, based on the analysis results, the hot dry rock energy storage system can be dynamically adjusted, including adjusting the injection and production flow rates using a proportional-integral-derivative control algorithm when the local temperature drop in the hot dry rock reservoir exceeds the design threshold.

[0014] Optionally, based on the analysis results, the hot dry rock energy storage system can be dynamically adjusted, including switching the working fluid type in the organic Rankine cycle system when the pore pressure fluctuation exceeds the fluctuation threshold and the rock strain anomaly area exceeds the area threshold.

[0015] Optionally, the hot dry rock energy storage system can be dynamically adjusted based on the analysis results, including adjusting the electric heating load according to the photovoltaic power curtailment curve.

[0016] In some embodiments, the multi-field coupling dynamic monitoring device for a hot dry rock energy storage system in high-altitude areas includes: a processor and a memory storing program instructions, wherein the processor is configured to execute the multi-field coupling dynamic monitoring method for a hot dry rock energy storage system in high-altitude areas as described above when the program instructions are executed.

[0017] In some embodiments, the electronic device includes: an electronic device body; and a multi-field coupling dynamic monitoring device for a hot dry rock energy storage system in high-altitude areas, as described above, installed on the electronic device body.

[0018] The multi-field coupled dynamic monitoring method, apparatus, and electronic equipment for hot dry rock energy storage systems in high-altitude areas provided in this disclosure can achieve the following technical effects: In this embodiment, a THM (Temperature-Hydraulic-Mechanical) multi-field coupling model is constructed. Distributed fiber optic sensing technology is used to collect parameters such as reservoir temperature, pressure, fluid flow rate, and rock strain in real time. Combined with numerical simulation, multi-field coupling analysis is performed to achieve dynamic performance evaluation of the hot dry rock reservoir. Based on the monitoring data, the control strategy of the hot dry rock energy storage system is optimized. Therefore, this embodiment improves the accuracy of reservoir dynamic performance evaluation and optimizes energy storage control schemes in novel energy storage processes through multi-physics data integration and real-time analysis. It overcomes the limitations of traditional single-physics monitoring, thereby improving the energy storage efficiency of high-altitude hot dry rock reservoirs by enhancing the performance evaluation accuracy, and providing technical support for the supply and consumption of new energy sources.

[0019] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0020] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein: Figure 1 This is a schematic diagram of the implementation environment for the multi-field coupling dynamic monitoring method for hot dry rock energy storage systems in high-altitude areas provided in this embodiment of the disclosure; Figure 2 This is a schematic diagram of a multi-field coupled dynamic monitoring method for a hot dry rock energy storage system in high-altitude areas, provided in an embodiment of this disclosure. Figure 3 This is a schematic diagram of another multi-field coupled dynamic monitoring method for hot dry rock energy storage systems in high-altitude areas, provided in an embodiment of this disclosure; Figure 4 This is a schematic diagram of another multi-field coupled dynamic monitoring method for hot dry rock energy storage systems in high-altitude areas, provided in an embodiment of this disclosure; Figure 5 This is a schematic diagram of another multi-field coupled dynamic monitoring method for hot dry rock energy storage systems in high-altitude areas, provided in an embodiment of this disclosure; Figure 6 This is a schematic diagram of a multi-field coupled dynamic monitoring device for a dry hot rock energy storage system in high-altitude areas, provided in an embodiment of this disclosure. Detailed Implementation

[0021] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0022] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0023] Unless otherwise stated, the term "multiple" means two or more.

[0024] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0025] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0026] The term "correspondence" can refer to an association or binding relationship. The correspondence between A and B means that there is an association or binding relationship between A and B.

[0027] Global geothermal energy storage research has gone through five stages: pilot verification, material development, efficiency improvement, energy storage integration, and multi-power plant integration. However, basic research in my country lags behind and is still in its early stages, especially lacking a dynamic monitoring system with multi-field coupling. High-altitude dry hot rock energy storage systems (such as Gonghe County in Qinghai Province, where the altitude generally exceeds 3,000 meters) face unique challenges: the coupling mechanism of high-temperature fluid seepage, rock heat conduction, and mechanical deformation within the reservoir is complex; the low temperature and dry climate leads to signal attenuation and insufficient temperature resistance of traditional electronic sensors; the alternating effects of abandoned electricity heating and heating demand in the consumption of new energy cause dynamic changes in reservoir conditions, and existing technologies suffer from a high thermal loss rate of up to 40% due to the lack of real-time control of multi-field data.

[0028] Therefore, several problems need to be addressed in high-altitude hot dry rock composite energy storage systems. First, the coupling mechanism between high-temperature fluid seepage, rock heat conduction, and mechanical deformation within the reservoir is complex in high-altitude hot dry rock energy storage systems. Traditional monitoring methods mainly focus on single physical fields (such as temperature or pressure), failing to reveal the impact of multi-field interactions on energy storage efficiency. Second, regions like Qinghai generally have altitudes exceeding 3000 meters, with cold winters and year-round dryness. Traditional electronic sensors suffer from signal attenuation and insufficient temperature resistance, making long-term stable monitoring difficult. Third, during the process of renewable energy consumption, the alternating effects of abandoned power heating and demand for heating lead to dynamic changes in reservoir operating conditions. Existing technologies lack real-time control strategies based on multi-field data, resulting in high thermal energy loss rates.

[0029] Combination Figure 1 , Figure 1 This is a schematic diagram illustrating the implementation environment of a multi-field coupled dynamic monitoring method for hot dry rock energy storage systems in high-altitude areas, according to an embodiment of this disclosure. Figure 1 As shown, the implementation environment is a hot dry rock energy storage system 10, which includes a distributed fiber optic sensor 100 and a processor 600.

[0030] This embodiment utilizes a distributed optical fiber sensor 100 to collect real-time monitoring data such as reservoir temperature, pressure, fluid flow rate, and rock strain. The processor 600 performs multi-field coupling analysis on the monitoring data, thereby dynamically adjusting the hot dry rock energy storage system.

[0031] Combination Figure 2 As shown, this disclosure provides a multi-field coupled dynamic monitoring method for hot dry rock energy storage systems in high-altitude areas, including: S201, the processor constructs a multi-field coupled numerical model of the hot dry rock reservoir; the multi-field coupled numerical model includes the simultaneous solution of the two-dimensional energy conservation equation, the two-dimensional seepage control equation and the elasticity control equation.

[0032] S202, the processor collects monitoring data of hot dry rock reservoirs through distributed fiber optic sensors.

[0033] S203, the processor performs multi-field coupling analysis on the monitoring data based on the multi-field coupling numerical model, and obtains the analysis results.

[0034] S204: The processor dynamically adjusts the hot dry rock energy storage system based on the analysis results.

[0035] The multi-field coupled dynamic monitoring method for high-altitude hot dry rock energy storage systems provided in this disclosure constructs a THM multi-field coupled model and utilizes distributed fiber optic sensing technology to collect parameters such as reservoir temperature, pressure, fluid flow rate, and rock strain in real time. Combined with numerical simulation, multi-field coupled analysis is performed to achieve dynamic performance evaluation of hot dry rock reservoirs and optimize the control strategy of the hot dry rock energy storage system based on the monitoring data. It is evident that this disclosure improves the accuracy of reservoir dynamic performance evaluation and optimizes energy storage control schemes in novel energy storage processes through multi-physics data integration and real-time analysis. It overcomes the limitations of traditional single-physics monitoring, thereby improving the energy storage efficiency of high-altitude hot dry rock reservoirs by enhancing the performance evaluation accuracy, and providing technical support for the supply and consumption of new energy sources.

[0036] Optionally, a multi-field coupled numerical model of the hot dry rock reservoir is constructed, including: obtaining the distribution of the artificial fracture network in the hot dry rock reservoir; constructing a multi-field coupled numerical model of the hot dry rock reservoir based on the artificial fracture network; and inputting the model parameters into the multi-field coupled numerical model.

[0037] Specifically, the model parameters include reservoir porosity, permeability, rock thermal conductivity, and fluid physical properties.

[0038] In this embodiment of the disclosure, based on technologies such as microseismic monitoring and geological inversion, the distribution of artificial fracture networks in hot dry rock reservoirs is obtained, and a THM multi-field coupled numerical model is established: First, the evolution of the reservoir temperature field is described, considering the coupling of fluid seepage and heat conduction, where the two-dimensional energy conservation equation is as follows: ; ; ; Where, λ s c is the thermal conductivity of the geothermal reservoir rock matrix. s The specific heat capacity of the geothermal reservoir rock matrix, ρ s denoted as ρ, where ρ is the density of the geothermal reservoir matrix, x is the horizontal component of the injection and production wells, y is the vertical component, u is the seepage velocity in the x-direction, v is the seepage velocity in the y-direction, T is the geothermal reservoir temperature, φ is the geothermal reservoir porosity, and λ is the density of the geothermal reservoir matrix. eff c is the effective thermal conductivity of the geothermal reservoir. eff ρ is the effective specific heat capacity of the geothermal reservoir. eff λ is the effective density of the geothermal reservoir, α is the effective diffusion coefficient, λ is the thermal conductivity of the storage fluid, c is the specific heat capacity of the storage fluid, and ρ is the density of the storage fluid.

[0039] Secondly, the pore pressure distribution is analyzed, and the fluid flow characteristics are quantified. The two-dimensional seepage control equation is as follows:

[0040] Where p is the pore pressure of the geothermal reservoir, K is the permeability of the geothermal reservoir, and μ is the dynamic viscosity of the thermal storage fluid.

[0041] Finally, the stress-strain of the rock is assessed to prevent reservoir structure failure, and the governing equations of elasticity are as follows:

[0042]

[0043] Among them, u m v m Displacements in the x and y directions, respectively, λ m where α is Poisson's ratio, E is the elastic modulus, and α is the elastic modulus. B This is the Biot effective coefficient.

[0044] Optionally, the monitoring data includes temperature field, pressure field, fluid flow rate, and rock strain.

[0045] In this embodiment, temperature sensing points are arranged every 5m along the borehole depth to obtain temperature field data with a resolution of 0.5℃; a fiber optic pressure sensor is used to monitor pore pressure changes and obtain pressure field data with an accuracy of ±0.1MPa; the flow rate of the injection and production well is collected in real time by an ultrasonic flow meter to obtain fluid flow data with an error of ≤2%; and Brillouin scattering technology is used to monitor the rock strain around the borehole to obtain rock strain data with a resolution of 10με.

[0046] Optionally, monitoring data of the hot dry rock reservoir is collected using distributed optical fiber sensors, including: collecting monitoring data at different collection frequencies during the power curtailment and thermal storage phases and the heating phase; wherein the collection frequency corresponding to the power curtailment and thermal storage phase is lower than the collection frequency corresponding to the heating phase.

[0047] In this embodiment of the disclosure, the waste power storage phase is usually in summer, with a sampling frequency of 10 min / time, and the heating phase is usually in winter, with a sampling frequency of 30 min / time.

[0048] In regions like Qinghai, where altitudes generally exceed 3000 meters, traditional electronic sensors suffer from signal attenuation and insufficient temperature resistance in high-altitude and high-temperature (underground high-temperature) environments, resulting in inadequate reliability and difficulty in achieving long-term stable monitoring. The high-temperature resistant distributed fiber optic sensor of this disclosure is embedded in boreholes in hot dry rock reservoirs, typically withstanding temperatures ≥300℃. By switching different acquisition frequencies in summer and winter, long-term stable monitoring is achieved.

[0049] Optionally, based on a multi-field coupled numerical model, multi-field coupled analysis is performed on the monitoring data to obtain analysis results, including: establishing performance evaluation indicators for hot dry rock reservoirs; calculating performance evaluation indicators based on monitoring data to obtain thermal storage efficiency, thermal efficiency, and fracture aperture change rate.

[0050] In the embodiments disclosed herein, by combining injection and production flow rate and temperature data, the reservoir heating capacity can be predicted; the enhancement effect of artificial fracture network on heat conduction can be analyzed; and the risk of rock stress concentration caused by temperature changes can be assessed.

[0051] Specifically, the thermal storage efficiency is calculated using the following formula:

[0052] Among them, W net The system's net output power is given by h, specific enthalpy by m, and mass flow rate by m. The subscripts "gw", "in", and "out" represent geothermal water, inlet, and outlet, respectively.

[0053] Specifically, the efficiency is calculated according to the following formula:

[0054] Among them, W net The system's net output power is given by h, specific enthalpy by m, mass flow rate by Ex, specific entropy by S, ambient temperature by T0, and subscripts "gw", "in", and "out" represent geothermal water, inlet, and outlet, respectively.

[0055] Optionally, based on the analysis results, the hot dry rock energy storage system can be dynamically adjusted, including adjusting the injection and production flow rates using a proportional-integral-derivative control algorithm when the local temperature drop in the hot dry rock reservoir exceeds the design threshold.

[0056] Combination Figure 3 As shown, this disclosure provides another method for multi-field coupled dynamic monitoring of hot dry rock energy storage systems in high-altitude areas, including: S301, the processor constructs a multi-field coupled numerical model of the hot dry rock reservoir; the multi-field coupled numerical model includes the simultaneous solution of the two-dimensional energy conservation equation, the two-dimensional seepage control equation and the elasticity control equation.

[0057] S302, the processor collects monitoring data of hot dry rock reservoirs through distributed fiber optic sensors.

[0058] The S303 processor performs multi-field coupling analysis on the monitoring data based on a multi-field coupling numerical model to obtain analysis results.

[0059] S304, when the local temperature drop in the hot dry rock reservoir exceeds the design threshold, the processor adjusts the injection and production flow rate through a proportional-integral-derivative control algorithm.

[0060] Specifically, the design threshold is 15%.

[0061] In this embodiment of the disclosure, when the local temperature drop in the reservoir exceeds 15%, the system automatically initiates proportional-integral-derivative (PID) closed-loop regulation. The PID control algorithm dynamically adjusts the injection and production flow rates by calculating the deviation between the target value and the actual monitored value, thereby achieving stable control of reservoir temperature and pressure and reducing heat loss.

[0062] Optionally, based on the analysis results, the hot dry rock energy storage system can be dynamically adjusted, including switching the working fluid type in the organic Rankine cycle system when the pore pressure fluctuation exceeds the fluctuation threshold and the rock strain anomaly area exceeds the area threshold.

[0063] Combination Figure 4 As shown, this disclosure provides another method for multi-field coupled dynamic monitoring of hot dry rock energy storage systems in high-altitude areas, including: S401, the processor constructs a multi-field coupled numerical model of the hot dry rock reservoir; the multi-field coupled numerical model includes the simultaneous solution of the two-dimensional energy conservation equation, the two-dimensional seepage control equation and the elasticity control equation.

[0064] S402, the processor acquires monitoring data of hot dry rock reservoirs through distributed fiber optic sensors.

[0065] The S403 processor performs multi-field coupling analysis on the monitoring data based on a multi-field coupling numerical model to obtain analysis results.

[0066] S404, the processor switches the working fluid type in the organic Rankine cycle system when the pore pressure fluctuation exceeds the fluctuation threshold and the abnormal rock strain area exceeds the area threshold.

[0067] Specifically, the fluctuation threshold is 0.5 MPa and the area threshold is 100 m².

[0068] The organic Rankine cycle system converts the thermal energy of geothermal fluids into electrical energy through a phase change process using organic working fluids (such as R245fa and R1233zd(e)). It is particularly suitable for medium- and low-temperature geothermal resources (e.g., 70-200℃) that are difficult to utilize efficiently using traditional flash evaporation methods. In this embodiment, the working fluid is dynamically switched according to the thermal storage temperature to optimize power generation efficiency. By directly coupling multi-field monitoring data with energy storage regulation, integrated operation of "monitoring-analysis-regulation" is achieved, improving the efficiency of new energy consumption.

[0069] Optionally, the hot dry rock energy storage system can be dynamically adjusted based on the analysis results, including adjusting the electric heating load according to the photovoltaic power curtailment curve.

[0070] Combination Figure 5 As shown, this disclosure provides another method for multi-field coupled dynamic monitoring of hot dry rock energy storage systems in high-altitude areas, including: S501, the processor constructs a multi-field coupled numerical model of the hot dry rock reservoir; the multi-field coupled numerical model includes the simultaneous solution of the two-dimensional energy conservation equation, the two-dimensional seepage control equation and the elasticity control equation.

[0071] The S502 processor collects monitoring data of hot dry rock reservoirs through distributed fiber optic sensors.

[0072] The S503 processor performs multi-field coupling analysis on the monitoring data based on a multi-field coupling numerical model to obtain analysis results.

[0073] The S504 processor adjusts the electric heating load based on the photovoltaic curtailment power curve.

[0074] In this embodiment, when the THM multi-field coupling model and distributed optical fiber monitoring confirm that the reservoir has additional thermal storage margin and the photovoltaic curtailment power curve shows a surplus that can be absorbed, the system dynamically adjusts the electric heating load in three stages: "prediction-decision-execution". First, in the prediction stage, the ultra-short-term power prediction curve of the photovoltaic power station is read, and the grid dispatch command and thermal storage demand are superimposed to calculate the power that can be absorbed. Second, in the decision stage, the power is converted into the load command required by the electric heater, and then the time-sharing load curve is optimized by the model predictive control algorithm and sent to the field. Finally, in the execution stage, the closed-loop adjustment of the thyristor power regulator realizes stepless adjustment of the power of the electric heating element, and the actual power, reservoir temperature, and fracture strain are fed back in real time to form rolling correction.

[0075] Combination Figure 6 As shown, this disclosure provides a multi-field coupling dynamic monitoring device 60 for high-altitude hot dry rock energy storage systems, including a processor 600 and a memory 601. Optionally, the device 60 may further include a communication interface 602 and a bus 603. The processor 600, communication interface 602, and memory 601 can communicate with each other via the bus 603. The communication interface 602 can be used for information transmission. The processor 600 can call logical instructions in the memory 601 to execute the multi-field coupling dynamic monitoring method for high-altitude hot dry rock energy storage systems described in the above embodiment.

[0076] Furthermore, the logic instructions in the aforementioned memory 601 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0077] The memory 601, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as the program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 600 executes functional applications and data processing by running the program instructions / modules stored in the memory 601, thereby realizing the multi-field coupling dynamic monitoring method for dry hot rock energy storage systems in high-altitude areas as described in the above embodiments.

[0078] The memory 601 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the terminal device. Furthermore, the memory 601 may include high-speed random access memory and may also include non-volatile memory.

[0079] This disclosure provides an electronic device, including: a product body, and the aforementioned multi-field coupling dynamic monitoring device for high-altitude dry hot rock energy storage systems. The multi-field coupling dynamic monitoring device for high-altitude dry hot rock energy storage systems is installed on the electronic device body. The installation relationship described herein is not limited to placement within the electronic device body, but also includes installation and connection with other components of the electronic device, including but not limited to physical connections, electrical connections, or signal transmission connections. Those skilled in the art will understand that the multi-field coupling dynamic monitoring device for high-altitude dry hot rock energy storage systems can be adapted to feasible electronic device bodies, thereby realizing other feasible embodiments.

[0080] The technical solutions of this disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in this disclosure. The aforementioned storage medium can be a non-transitory storage medium, such as a USB flash drive, external hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, etc., and other media capable of storing program code.

[0081] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0082] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0083] The methods and products disclosed in the embodiments herein (including but not limited to devices and equipment) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to implement this embodiment according to actual needs. In addition, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0084] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A multi-field coupled dynamic monitoring method for hot dry rock energy storage systems in high-altitude areas, characterized in that, include: A multi-field coupled numerical model of a hot dry rock reservoir is constructed; the multi-field coupled numerical model includes the simultaneous solution of two-dimensional energy conservation equations, two-dimensional seepage control equations and elasticity control equations. Monitoring data of hot dry rock reservoirs are collected using distributed fiber optic sensors. Based on the multi-field coupling numerical model, multi-field coupling analysis was performed on the monitoring data to obtain the analysis results; Based on the analysis results, dynamic adjustments were made to the hot dry rock energy storage system.

2. The multi-field coupled dynamic monitoring method according to claim 1, characterized in that, Constructing a multi-field coupled numerical model of hot dry rock reservoirs, including: Obtain the distribution of artificial fracture networks in hot dry rock reservoirs; A multi-field coupled numerical model of a hot dry rock reservoir is constructed based on an artificial fracture network, and the model parameters are input into the multi-field coupled numerical model.

3. The multi-field coupled dynamic monitoring method according to claim 1, characterized in that, The monitoring data includes temperature field, pressure field, fluid flow rate, and rock strain.

4. The multi-field coupled dynamic monitoring method according to claim 1, characterized in that, Monitoring data of hot dry rock reservoirs are collected using distributed fiber optic sensors, including: Different acquisition frequencies are used to collect monitoring data during the power curtailment and thermal storage phases and the heating phase; the acquisition frequency for the power curtailment and thermal storage phase is lower than that for the heating phase.

5. The multi-field coupled dynamic monitoring method according to claim 1, characterized in that, Based on the multi-field coupling numerical model, multi-field coupling analysis was performed on the monitoring data to obtain the analysis results, including: Establish performance evaluation indicators for hot dry rock reservoirs; Performance evaluation indicators are calculated based on monitoring data to obtain thermal storage efficiency, thermal efficiency, and the rate of change of fissure opening.

6. The multi-field coupled dynamic monitoring method according to any one of claims 1 to 5, characterized in that, Based on the analysis results, dynamic adjustments were made to the hot dry rock energy storage system, including: When the local temperature drop in a hot dry rock reservoir exceeds the design threshold, the injection-production flow rate is adjusted using a proportional-integral-derivative control algorithm.

7. The multi-field coupled dynamic monitoring method according to any one of claims 1 to 5, characterized in that, Based on the analysis results, dynamic adjustments were made to the hot dry rock energy storage system, including: When pore pressure fluctuations exceed the fluctuation threshold and the abnormal rock strain area exceeds the area threshold, switch the working fluid type in the organic Rankine cycle system.

8. The multi-field coupled dynamic monitoring method according to any one of claims 1 to 5, characterized in that, Based on the analysis results, dynamic adjustments were made to the hot dry rock energy storage system, including: Adjust the electric heating load based on the photovoltaic curtailment power curve.

9. A multi-field coupled dynamic monitoring device for a hot dry rock energy storage system in high-altitude areas, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to execute, when running the program instructions, the multi-field coupled dynamic monitoring method for hot dry rock energy storage systems in high-altitude areas as described in any one of claims 1 to 8.

10. An electronic device, characterized in that, include: The electronic device itself; The multi-field coupling dynamic monitoring device for dry hot rock energy storage systems in high-altitude areas as described in claim 9 is installed on the electronic device body.

Images