Site selection method and device for compressed air energy storage chamber

Abstract

The invention provides a site selection method and device for a compressed air energy storage chamber, and relates to the technical field of compressed air energy storage. The method comprises the following steps: evaluating geological information of a plurality of underground coal mine spaces by utilizing an evaluation rule, and selecting candidate underground coal mine spaces for reconstructing an energy storage chamber on the basis of obtained evaluation index information of each underground coal mine space; and establishing a compressed air energy storage chamber model according to the physical and mechanical parameters of the candidate coal mine underground space, performing numerical simulation under a gas injection and production working condition, obtaining surrounding rock stability information of the candidate coal mine underground space, and selecting a target coal mine underground space of a reconstructed chamber from the candidate coal mine underground space. According to the method, the suitability for reconstructing different types of underground coal mine spaces into the energy storage chambers is evaluated and optimized based on the geological information and the surrounding rock stability, the universality, scientificity and rationality of chamber site selection are improved, and the technical difficulty, the failure risk and the construction cost of reconstructing the energy storage chambers in the abandoned coal mine spaces are effectively reduced.

Description

Technical Field

[0001] The present disclosure relates to the technical field of compressed air energy storage, and in particular to a site selection method and device for a compressed air energy storage chamber. Background Art

[0002] Compressed air energy storage refers to a storage method that uses electrical energy to compress air during the low load period of the power grid, seals the air at high pressure in the air storage chamber, and releases the compressed air to drive the steam turbine to generate electricity during the peak load period of the power grid. During the peak period of power generation, the abandoned coal mine space is used to convert electrical energy into air potential energy through compressed air, and the air is released and converted into electrical energy during the peak period of electricity consumption, thereby reducing the peak and filling the valley and replenishing electricity. There are various types of underground spaces in coal mines, and their geological differences are large due to the influence of different degrees of mining and excavation. How to select coal mine spaces suitable for reconstruction of energy storage chambers has become an urgent problem to be solved. Summary of the invention

[0003] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.

[0004] To this end, the first embodiment of the present disclosure proposes a method for selecting a site for a compressed air energy storage chamber, comprising: Obtain geological information of multiple underground spaces in coal mines; Using preset evaluation rules to evaluate the geological information of the multiple underground spaces of the coal mines respectively, and obtaining evaluation index information of each underground space of the coal mines; According to the plurality of evaluation index information, at least two coal mine underground spaces are selected from the plurality of coal mine underground spaces as candidate coal mine underground spaces for reconstruction of compressed air energy storage chambers; Obtaining physical and mechanical parameters of the underground space of the candidate coal mine; A compressed air energy storage chamber model of each candidate coal mine underground space is established according to the physical and mechanical parameters of each candidate coal mine underground space, and a numerical simulation is performed on each compressed air energy storage chamber model under the injection and production gas conditions to obtain the surrounding rock stability information of each candidate coal mine underground space during the injection and production operation; According to the surrounding rock stability information, at least one of the at least two candidate coal mine underground spaces is selected as a target coal mine underground space for reconstruction of a compressed air energy storage chamber.

[0005] In some embodiments of the present disclosure, there are multiple geological information for each underground space of the coal mine; the geological information of the multiple underground spaces of the coal mine is evaluated separately by using preset evaluation rules to obtain evaluation index information of each underground space of the coal mine, including: using preset evaluation rules to evaluate the multiple geological information of each underground space of the coal mine separately to obtain first index information corresponding to each geological information; using hierarchical analysis method to calculate the weight corresponding to each geological information; according to the first index information and the weight corresponding to each of the multiple geological information of the underground space of each coal mine, the evaluation index information of each underground space of the coal mine is obtained.

[0006] In some embodiments of the present disclosure, when the geological information is numerical information, the evaluation rules include the correlation between the geological information and the evaluation index information; the preset evaluation rules are used to evaluate the multiple geological information of each underground space of the coal mine respectively to obtain the first index information corresponding to each geological information, including: performing range normalization processing on the multiple geological information of each underground space of the coal mine according to the evaluation rules to obtain the first index information corresponding to each geological information.

[0007] In some embodiments of the present disclosure, when the geological information is non-numerical information, the evaluation rule includes a mapping relationship between the geological information and the first indicator information.

[0008] In some embodiments of the present disclosure, the geological information includes at least two of the following: fault development information, stratum inclination information, mine water inflow information, water-conducting fracture zone development information, spatial span information, spatial section shape information, spatial orientation information, cap rock thickness information, cap rock continuity information, cap rock permeability information, surrounding rock compressive strength information, surrounding rock shear strength information, surrounding rock tensile strength information, surrounding rock fracture development information, ground stress information, stress difference coefficient information, and mining impact number information.

[0009] The second embodiment of the present disclosure provides a site selection device for a compressed air energy storage chamber, comprising: The first acquisition module is used to acquire geological information of multiple underground spaces of coal mines; A first evaluation module is used to evaluate the geological information of the multiple underground spaces of the coal mines respectively by using preset evaluation rules to obtain evaluation index information of each underground space of the coal mine; A first determination module is used to select at least two underground spaces of the coal mine as candidate underground spaces of the coal mine for reconstruction of compressed air energy storage chambers from the multiple underground spaces of the coal mine according to the multiple evaluation index information; A second acquisition module is used to acquire the physical and mechanical parameters of the underground space of the candidate coal mine; The second evaluation module is used to establish a compressed air energy storage chamber model of each candidate coal mine underground space according to the physical and mechanical parameters of each candidate coal mine underground space, perform numerical simulation of each compressed air energy storage chamber model under the injection and production gas conditions, and obtain the surrounding rock stability information of each candidate coal mine underground space during the injection and production operation; The second determination module is used to select at least one of the at least two candidate coal mine underground spaces as a target coal mine underground space for reconstruction of a compressed air energy storage chamber based on the surrounding rock stability information.

[0010] In some embodiments of the present disclosure, there are multiple geological information for each underground space of the coal mine; the first evaluation module is specifically used to: use preset evaluation rules to evaluate the multiple geological information for each underground space of the coal mine respectively, and obtain first indicator information corresponding to each geological information; use hierarchical analysis method to calculate the weight corresponding to each geological information; obtain the evaluation indicator information of each underground space of the coal mine according to the first indicator information and the weight corresponding to each of the multiple geological information of the underground space of the coal mine.

[0011] In some embodiments of the present disclosure, when the geological information is numerical information, the evaluation rules include the correlation between the geological information and the evaluation index information; the first evaluation module is specifically used to: perform range normalization processing on the multiple geological information of each underground space of the coal mine according to the evaluation rules, and obtain the first index information corresponding to each geological information.

[0012] In some embodiments of the present disclosure, when the geological information is non-numerical information, the evaluation rule includes a mapping relationship between the geological information and the evaluation index information.

[0013] A third aspect of the present disclosure provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method described in the first aspect.

[0014] The site selection method for compressed air energy storage chambers provided in the present disclosure performs a preliminary screening of candidate underground spaces of coal mines based on the geological information and evaluation rules of underground spaces of coal mines, and selects candidate underground spaces of coal mines through evaluation index information. The impact assessment of compressed air energy storage injection and production on the stability of surrounding rocks is incorporated into the site selection process, and the stability of the chambers under injection and production conditions of candidate underground spaces of coal mines is numerically simulated, and the underground spaces of candidate coal mines are further screened based on the stability of surrounding rocks. The present disclosure can evaluate and optimize the suitability of different types of underground spaces of coal mines for conversion into energy storage chambers based on the two levels of geological information and surrounding rock stability, thereby improving the versatility, scientificity and rationality of chamber site selection, and effectively reducing the technical difficulty, failure risk and construction cost of converting abandoned coal mine spaces into energy storage chambers on the basis of ensuring the safety of subsequent operation of the chambers.

[0015] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and / or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which: Figure 1 A schematic diagram of a flow chart of a method for selecting a site for a compressed air energy storage chamber provided in an embodiment of the present disclosure; Figure 2 A schematic diagram of a site selection evaluation system for rebuilding a compressed air energy storage chamber provided in an embodiment of the present disclosure; Figure 3 A schematic diagram of a site selection device for a compressed air energy storage chamber provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0017] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0018] Specifically, the site selection method and device for the compressed air energy storage chamber according to the embodiment of the present disclosure are described below with reference to the accompanying drawings.

[0019] Figure 1 The following is a flow chart of a method for selecting a location for a compressed air energy storage chamber provided in an embodiment of the present disclosure. Figure 1 As shown, the site selection method of the compressed air energy storage chamber may include the following steps: Step 101, obtaining geological information of multiple underground spaces of coal mines.

[0020] Among them, the underground space of a coal mine may include various types such as development tunnels, preparation tunnels, mining tunnels and goafs. The geological information of each underground space of a coal mine may be one or more. In some embodiments of the present disclosure, the geological information of each underground space of a coal mine may include at least two of the following: fault development information, stratum inclination information, mine water inflow information, water-conducting fracture zone development information, spatial span information, spatial section shape information, spatial orientation information, caprock thickness information, caprock continuity information, caprock permeability information, surrounding rock compressive strength information, surrounding rock shear strength information, surrounding rock tensile strength information, surrounding rock fracture development information, ground stress information, stress difference coefficient information, and mining impact number information. In order to more accurately evaluate whether the underground space of a coal mine is suitable for conversion into a compressed air energy storage chamber, in one implementation, the geological information may include the 17 items of information mentioned above.

[0021] It should be noted that the fault development information and stratigraphic dip information can be obtained through the coal mine production geological report. The mine water inflow information and the development information of the water-conducting fracture zone (i.e., the development height of the water-conducting fracture zone) can be obtained through the coal mine hydrogeological report. Based on the coal mine mining engineering plan, supplementary measurements are made on the underground space of the coal mine (the planned chamber to be rebuilt) to obtain spatial span information, spatial cross-sectional shape information, and spatial orientation information. Among them, the spatial orientation information can be represented by the angle between the axis of the underground space and the direction of the maximum horizontal principal stress. The combination of geological drilling and geophysical exploration is used to obtain the cover layer thickness information and cover layer continuity information, which can be used to indicate the sealing of the cover layer. Based on the core drilling of the cover layer rock, indoor physical experimental tests are carried out to obtain the cover layer permeability information (i.e., the permeability of the cover layer rock, which is used to evaluate the sealing characteristics of the cover layer). Drill and coring (N is a positive integer) the surrounding rock within the radius of N times of the underground space of the coal mine, process it into standard rock samples, and carry out rock physical and mechanical experiments, including uniaxial compressive strength test, triaxial test, Brazilian splitting test, to obtain surrounding rock compressive strength information, surrounding rock shear strength information and surrounding rock tensile strength information. Use ultrasonic surrounding rock crack detector to detect the loose range of surrounding rock in the underground space of the coal mine, and combine with the borehole surrounding rock imaging crack peep to find out the cracks inside the borehole and obtain the surrounding rock crack development information. Use a small-aperture hydraulic fracturing ground stress measuring instrument or a hollow inclusion triaxial ground stress meter to carry out ground stress measurement in the underground space of the coal mine to obtain ground stress information (including the size and orientation of three-dimensional ground stress) and stress difference coefficient information. Combined with the production data and underground survey of the underground space of the coal mine, determine the number of times the underground space of the coal mine is affected by the mining disturbance of the surrounding working face (information on the number of times mining affects).

[0022] Step 102, using preset evaluation rules to evaluate the geological information of multiple underground spaces of coal mines respectively, to obtain evaluation index information of each underground space of coal mines.

[0023] It should be noted that the evaluation rules are used to evaluate the suitability of the underground space of a coal mine for conversion into a compressed air energy storage chamber based on geological information. In one example, the larger the value of the evaluation index information obtained according to the evaluation rules, the higher the suitability of the underground space of the coal mine for conversion into a compressed air energy storage chamber. Optionally, in some embodiments of the present disclosure, the evaluation rules may be a mapping relationship between geological information and evaluation index information, and the mapping relationship may be determined based on historical experience.

[0024] In some embodiments of the present disclosure, geological information can also be divided into numerical information and non-numerical information, and different evaluation rules can be adopted for different geological information. Numerical geological information includes: formation dip information, mine water inflow information, water-conducting fracture zone development information, spatial span information, spatial orientation information, caprock thickness information, caprock permeability information, surrounding rock compressive strength information, surrounding rock shear strength information, surrounding rock tensile strength information, ground stress information, stress difference coefficient information, and mining impact times information. Non-numerical geological information includes: fault development information, spatial section shape information, caprock continuity information, and surrounding rock fracture development information.

[0025] Among them, for numerical geological information, the evaluation rules may include the correlation between geological information and evaluation index information. According to the correlation between geological information and evaluation index information, the geological information of each underground space of the coal mine is subjected to range normalization processing to obtain the evaluation index information of each underground space of the coal mine. In numerical geological information, the correlation between geological information and evaluation index information can be divided into positive correlation and negative correlation.

[0026] The numerical geological information with positive correlation may include: cover thickness information, surrounding rock compressive strength information, surrounding rock shear strength information, and surrounding rock tensile strength information. That is, the greater the cover thickness information (≥5m), the higher the surrounding rock compressive strength information (≥30MPa), the higher the surrounding rock shear strength information, and the higher the surrounding rock tensile strength information, the higher the suitability of the corresponding underground space of the coal mine for the energy storage chamber, and the greater the value of the evaluation index information. For the numerical geological information with positive correlation, the following formula can be used to perform range normalization processing on the geological information of each underground space of the coal mine to obtain the first index information corresponding to each geological information:

[0027] in, is the first indicator information corresponding to the geological information, For geological information, is the historical maximum value of geological information, The historical minimum value of geological information is obtained. The evaluation index information of each underground space of coal mine is obtained.

[0028] The negatively correlated numerical geological information may include: formation dip information, mine water inflow information, water-conducting fracture zone development information, spatial span information, spatial orientation information, cap rock permeability information, ground stress information, stress difference coefficient information, and mining impact times information. That is, the smaller the formation dip information, the smaller the mine water inflow information, the lower the water-conducting fracture zone development information, the smaller the spatial span information, the smaller the spatial orientation information, the lower the cap rock permeability information, the lower the ground stress information (<30MPa), the lower the stress difference coefficient information (<1.5), and the fewer mining impact times information, the higher the suitability of the corresponding coal mine underground space to be converted into an energy storage chamber, and the greater the value of the evaluation index information.

[0029] For negatively correlated numerical geological information, the following formula can be used to perform range normalization on the geological information of each underground space of a coal mine to obtain the first indicator information corresponding to each geological information:

[0030] in, is the first indicator information corresponding to the geological information, For geological information, is the historical maximum value of geological information, The historical minimum value of geological information is obtained. The evaluation index information of each underground space of coal mine is obtained.

[0031] For non-numerical geological information, the evaluation rules may include a mapping relationship between geological information and first indicator information. Among them, the higher the similarity between the fault development information and the circle, the better the caprock continuity information, and the lower the surrounding rock fracture development information, the higher the suitability of the underground space of the corresponding coal mine for reconstruction into an energy storage chamber. In one implementation method, the non-numerical geological information can be divided into multiple evaluation levels according to actual conditions, and the corresponding first indicator information is assigned to each evaluation level of the non-numerical geological information according to historical experience, thereby constructing a mapping relationship between the geological information and the first indicator information. Taking the caprock continuity information as an example, it can be divided into three evaluation levels: excellent, good, and poor. The first indicator information corresponding to the excellent is 1, the first indicator information corresponding to the good is 0.5, and the first indicator information corresponding to the poor is 0.

[0032] When each underground space of a coal mine includes one geological information, the first index information corresponding to the geological information is the evaluation index information of the underground space of the coal mine. When each underground space of a coal mine includes multiple geological information, each geological information corresponds to one first index information, and the evaluation index information of each underground space of the coal mine is obtained according to the multiple first index information corresponding to each underground space of the coal mine. Optionally, the multiple first index information corresponding to each underground space of the coal mine can be summed, averaged, etc. to obtain the evaluation index information of each underground space of the coal mine.

[0033] Alternatively, in another possible implementation, the evaluation index information of each coal mine underground space can be obtained by using the hierarchical analysis method according to the multiple first index information corresponding to each coal mine underground space. As an example, after evaluating the multiple geological information of each coal mine underground space respectively using the evaluation rules and obtaining the first index information corresponding to each geological information, the weight corresponding to each geological information is calculated by using the hierarchical analysis method. The evaluation index information of each coal mine underground space is obtained according to the first index information and weight corresponding to each of the multiple geological information of each coal mine underground space. Figure 2 This is a schematic diagram of a site selection evaluation system for rebuilding a compressed air energy storage chamber provided by an embodiment of the present disclosure. Figure 2 As shown in the figure, the question of whether the underground space of a coal mine is suitable for conversion into an energy storage chamber is decomposed, and the purpose problem is decomposed into several influencing factors. Each factor is further decomposed according to different attributes to form a hierarchical structure, and the weight of each geological information is determined by establishing a judgment matrix.

[0034] Taking geological information including fault development information, cover thickness information, spatial orientation information, surrounding rock compressive strength information, surrounding rock fracture development information and stress difference coefficient information as an example (the number and composition of the geological information are only exemplary), a judgment matrix as shown in Table 1 is constructed to determine the weight corresponding to each geological information.

[0035] Table 1

[0036] In the above judgment matrix, the element Represents geological information Relative to geological information The importance value of the matrix. and elements For example, the element The importance value of fault development information relative to fault development information is 1. The importance of fault development information relative to cover thickness information is 2. and its corresponding eigenvector , and obtain the weight of the factors at this level in the previous level. Use the sum-product method to find the eigenvector of the judgment matrix, that is, the weight of each geological information. According to the weight of each geological information, the corresponding first indicator information is weighted and summed to obtain the evaluation indicator information of each coal mine underground space.

[0037] Step 103, based on the multiple evaluation index information, select at least two from multiple coal mine underground spaces as candidate coal mine underground spaces for reconstruction of compressed air energy storage chambers.

[0038] In some embodiments of the present disclosure, multiple underground coal mine spaces can be sorted according to the numerical values ​​of the evaluation index information, and the underground coal mine spaces corresponding to the top M largest evaluation index information in the sequence are selected as candidate underground coal mine spaces, where M is a positive integer greater than or equal to 2.

[0039] Step 104, obtaining the physical and mechanical parameters of the candidate coal mine underground space.

[0040] Step 105, establish a compressed air energy storage chamber model of each candidate coal mine underground space according to the physical and mechanical parameters of each candidate coal mine underground space, perform numerical simulation of each compressed air energy storage chamber model under injection and production gas conditions, and obtain the surrounding rock stability information of each candidate coal mine underground space during the injection and production operation.

[0041] In some embodiments of the present disclosure, a compressed air energy storage chamber model of each candidate coal mine underground space can be established based on the compressed air injection and production scheme and physical and mechanical parameters using numerical software such as FLAC3D, and a numerical simulation of the chamber stability under long-term gas injection and production conditions can be carried out. The surrounding rock stability information during the injection and production operation can be evaluated through the deformation and damage information of the surrounding rock in the model simulation.

[0042] Step 106, based on the surrounding rock stability information, select at least one of at least two candidate coal mine underground spaces as the target coal mine underground space for reconstruction of the compressed air energy storage chamber.

[0043] At least one candidate coal mine underground space with high stability is selected from at least two candidate coal mine underground spaces as the target coal mine underground space for the reconstruction of the compressed air energy storage chamber. The target coal mine underground space is screened through two rounds of geological information and surrounding rock stability, which improves the safety, scientificity and rationality of the site selection of the compressed air energy storage chamber.

[0044] By implementing the embodiments of the present disclosure, the candidate underground spaces of coal mines are preliminarily screened through the geological information and evaluation rules of the underground spaces of coal mines, and the candidate underground spaces of coal mines are selected based on the evaluation index information. The impact assessment of compressed air energy storage injection and production on the stability of the surrounding rock is incorporated into the site selection process, and the stability of the chambers of the candidate underground spaces of coal mines under the conditions of gas injection and production is numerically simulated, and the candidate underground spaces of coal mines are further screened based on the stability of the surrounding rock. Based on the two levels of geological information and surrounding rock stability, the present disclosure evaluates and optimizes the suitability of different types of underground spaces of coal mines for conversion into energy storage chambers, improves the versatility, safety, scientificity and rationality of the site selection of chambers, and effectively reduces the technical difficulty, failure risk and construction cost of converting abandoned coal mine spaces into energy storage chambers on the basis of ensuring the safety of the subsequent operation of the chambers.

[0045] Figure 3 A schematic diagram of a site selection device for a compressed air energy storage chamber provided in an embodiment of the present disclosure. Figure 3 As shown, the site selection device for the compressed air energy storage chamber may include: a first acquisition module 301, a first evaluation module 302, a first determination module 303, a second acquisition module 304, a second evaluation module 305 and a second determination module 306.

[0046] The first acquisition module 301 is used to acquire geological information of multiple underground spaces of coal mines.

[0047] The first evaluation module 302 is used to evaluate the geological information of multiple underground spaces of coal mines respectively using preset evaluation rules to obtain evaluation index information of each underground space of coal mines.

[0048] The first determination module 303 is used to select at least two underground spaces in a plurality of coal mines as candidate underground spaces in the coal mine for reconstruction into compressed air energy storage chambers according to a plurality of evaluation index information.

[0049] The second acquisition module 304 is used to acquire the physical and mechanical parameters of the underground space of the candidate coal mine.

[0050] The second evaluation module 305 is used to establish a compressed air energy storage chamber model of each candidate coal mine underground space according to the physical and mechanical parameters of each candidate coal mine underground space, perform numerical simulation of each compressed air energy storage chamber model under injection and production gas conditions, and obtain the surrounding rock stability information of each candidate coal mine underground space during the injection and production operation.

[0051] The second determination module 306 is used to select at least one of at least two candidate coal mine underground spaces as a target coal mine underground space for reconstruction of a compressed air energy storage chamber according to the surrounding rock stability information.

[0052] In some embodiments of the present disclosure, each coal mine underground space has multiple geological information; the first evaluation module 302 is specifically used to: use preset evaluation rules to evaluate the multiple geological information of each coal mine underground space respectively, and obtain the first indicator information corresponding to each geological information; use the hierarchical analysis method to calculate the weight corresponding to each geological information; obtain the evaluation indicator information of each coal mine underground space according to the first indicator information and weight corresponding to the multiple geological information of each coal mine underground space.

[0053] In some embodiments of the present disclosure, when the geological information is numerical information, the evaluation rules include the correlation between the geological information and the evaluation index information; the first evaluation module 302 is specifically used to: perform range normalization processing on multiple geological information of each coal mine underground space according to the evaluation rules, and obtain the first index information corresponding to each geological information.

[0054] In some embodiments of the present disclosure, when the geological information is non-numerical information, the evaluation rule includes a mapping relationship between the geological information and the evaluation index information.

[0055] In some embodiments of the present disclosure, the geological information includes at least two of the following: fault development information, stratum inclination information, mine water inflow information, water-conducting fracture zone development information, spatial span information, spatial section shape information, spatial orientation information, cover layer thickness information, cover layer continuity information, cover layer permeability information, surrounding rock compressive strength information, surrounding rock shear strength information, surrounding rock tensile strength information, surrounding rock fracture development information, ground stress information, stress difference coefficient information, and mining impact number information.

[0056] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0057] In order to implement the above embodiments, the present disclosure also proposes an electronic device, including: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0058] In order to implement the above embodiments, the present disclosure further proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0059] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0060] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present disclosure, "plurality" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0061] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present disclosure belong.

[0062] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0063] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0064] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0065] In addition, each functional unit in each embodiment of the present disclosure may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0066] The storage medium mentioned above may be a read-only memory, a disk or an optical disk, etc. Although the embodiments of the present disclosure have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present disclosure. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present disclosure.

Claims

1. A method for selecting a site for a compressed air energy storage chamber, characterized in that: The following steps are involved: Obtain geological information of multiple underground spaces in coal mines; Using preset evaluation rules to evaluate the geological information of the multiple underground spaces of the coal mines respectively, and obtaining evaluation index information of each underground space of the coal mines; According to the plurality of evaluation index information, at least two coal mine underground spaces are selected from the plurality of coal mine underground spaces as candidate coal mine underground spaces for reconstruction of compressed air energy storage chambers; Obtaining physical and mechanical parameters of the underground space of the candidate coal mine; A compressed air energy storage chamber model of each candidate coal mine underground space is established according to the physical and mechanical parameters of each candidate coal mine underground space, and a numerical simulation is performed on each compressed air energy storage chamber model under the injection and production gas conditions to obtain the surrounding rock stability information of each candidate coal mine underground space during the injection and production operation; According to the surrounding rock stability information, at least one of the at least two candidate coal mine underground spaces is selected as a target coal mine underground space for reconstruction of a compressed air energy storage chamber.

2. The method according to claim 1, characterized in that There are multiple pieces of geological information for each underground space of the coal mine; the geological information of the multiple underground spaces of the coal mines is evaluated respectively by using preset evaluation rules to obtain evaluation index information of each underground space of the coal mine, including: Using preset evaluation rules, the plurality of geological information of each underground space of the coal mine are evaluated respectively to obtain first indicator information corresponding to each geological information; The weight corresponding to each geological information is calculated by using the hierarchical analysis method; The evaluation index information of each underground space of the coal mine is obtained according to the first index information and the weight corresponding to each of the multiple geological information of each underground space of the coal mine.

3. The method according to claim 2, characterized in that In the case where the geological information is numerical information, the evaluation rule includes the correlation between the geological information and the evaluation index information; the use of the preset evaluation rule to evaluate the multiple geological information of each underground space of the coal mine respectively to obtain the first index information corresponding to each geological information includes: According to the evaluation rules, the multiple geological information of each underground space of the coal mine are respectively subjected to range normalization processing to obtain the first indicator information corresponding to each geological information.

4. The method according to claim 2, characterized in that: In the case where the geological information is non-numerical information, the evaluation rule includes a mapping relationship between the geological information and the first indicator information.

5. The method according to any one of claims 1 to 4, characterized in that The geological information includes at least two of the following: fault development information, stratum dip information, mine water inflow information, water-conducting fracture zone development information, spatial span information, spatial section shape information, spatial orientation information, cap layer thickness information, cap layer continuity information, cap layer permeability information, surrounding rock compressive strength information, surrounding rock shear strength information, surrounding rock tensile strength information, surrounding rock fracture development information, ground stress information, stress difference coefficient information, and mining impact number information.

6. A site selection device for a compressed air energy storage chamber, characterized in that: include: The first acquisition module is used to acquire geological information of multiple underground spaces of coal mines; A first evaluation module is used to evaluate the geological information of the multiple underground spaces of the coal mines respectively using preset evaluation rules to obtain evaluation index information of each underground space of the coal mines; A first determination module is used to select at least two underground spaces of the coal mine as candidate underground spaces of the coal mine for reconstruction of compressed air energy storage chambers from the multiple underground spaces of the coal mine according to the multiple evaluation index information; A second acquisition module is used to acquire the physical and mechanical parameters of the underground space of the candidate coal mine; The second evaluation module is used to establish a compressed air energy storage chamber model of each candidate coal mine underground space according to the physical and mechanical parameters of each candidate coal mine underground space, perform numerical simulation of each compressed air energy storage chamber model under the injection and production gas conditions, and obtain the surrounding rock stability information of each candidate coal mine underground space during the injection and production operation; The second determination module is used to select at least one of the at least two candidate coal mine underground spaces as a target coal mine underground space for reconstruction of a compressed air energy storage chamber based on the surrounding rock stability information.

7. The device according to claim 6, characterized in that The geological information of each underground space of the coal mine is multiple; the first evaluation module is specifically used for: Using preset evaluation rules, the plurality of geological information of each underground space of the coal mine are evaluated respectively to obtain first indicator information corresponding to each geological information; The weight corresponding to each geological information is calculated by using the hierarchical analysis method; The evaluation index information of each underground space of the coal mine is obtained according to the first index information and the weight corresponding to each of the multiple geological information of each underground space of the coal mine.

8. The device according to claim 7, characterized in that In the case where the geological information is numerical information, the evaluation rule includes the correlation between the geological information and the evaluation index information; the first evaluation module is specifically used for: According to the evaluation rules, the multiple geological information of each underground space of the coal mine are respectively subjected to range normalization processing to obtain the first indicator information corresponding to each geological information.

9. The device according to claim 7, characterized in that In the case where the geological information is non-numerical information, the evaluation rule includes a mapping relationship between the geological information and the evaluation index information.

10. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 5.

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