Configuration method and device for medium-deep layer geothermal heat supply system and heat storage system

Abstract

The invention discloses a configuration method and device for a medium-deep layer geothermal heat supply system and a heat storage system, and the method comprises the steps: obtaining heat supply demand parameters of a target building group, and determining the maximum heat extraction power and the annual heat extraction amount required by a geothermal well in combination with the energy efficiency ratio of a heat pump; the maximum heat supply power of a single well and the annual maximum heat supply amount of the single well are obtained through exploration testing; calculating a first numerical value and a second numerical value of the required well number based on power and heat, and determining a lower limit value and an upper limit value of the well mouth number; and performing well mouth number iterative optimization within the range of the lower limit value and the upper limit value, configuring a corresponding heat storage system for each candidate well mouth number, calculating the total scheme investment including the geothermal wells and the heat storage systems, and selecting the well mouth number and the heat storage configuration with the minimum total investment as a final scheme. The heat storage energy serves as an adjusting and standby heat source, through collaborative optimization of the geothermal wells and the heat storage system, the number of the geothermal wells is remarkably reduced on the premise that the heat supply requirement is met, the initial investment of the system is reduced, and the equipment utilization rate is increased.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of heat supply, and particularly relates to a configuration method and device of a middle-deep geothermal heat supply system and a heat storage system. BACKGROUND

[0002] As a technology that has been applied on a large scale in China in recent years, the middle-deep geothermal heat supply technology has the advantages of high heat supply efficiency and low operation cost, but the high initial investment results in unsatisfactory overall economy of the middle-deep geothermal heat supply project.

[0003] There is no unified calculation and design method for the current middle-deep geothermal heat supply system design, and the number of heat extraction wells is generally determined by dividing the design load by the average heat extraction power; or a certain proportion of the middle-deep geothermal system is configured according to the heat load characteristics to meet the basic heat load, and a conventional heat supply system is combined for heat supply to improve the proportion of geothermal system heat supply. This relatively extensive design method has a series of problems, such as when the heat supply load presents a short peak time and a large peak value, the middle-deep geothermal system may be configured too large, resulting in low utilization rate of equipment and system and waste of investment; and when the heat supply load presents a long peak time and generally high load, the peak heat supply load may be met, but considering the recovery capacity of the underground rock-soil thermal environment, the annual total heat supply amount of the geothermal well cannot meet the total load demand.

[0004] In view of the above, there is an urgent need to provide a new configuration method to solve the above problems. SUMMARY

[0005] In view of the above technical problems, the present application provides a configuration method and device of a middle-deep geothermal heat supply system and a heat storage system.

[0006] The technical solution adopted by the present application to solve the technical problems is: A configuration method of a middle-deep geothermal heat supply system and a heat storage system, comprising the following steps: S100: obtaining heat supply demand parameters of a target building group; S200: determining the maximum heat extraction power of the middle-deep geothermal well and the annual heat extraction amount required to meet the heat supply demand according to the heat pump unit energy efficiency ratio and the heat supply demand parameters; S300: conducting exploration and testing on the middle-deep geothermal well to obtain the single-well maximum heat supply power and the single-well annual maximum heat supply amount; S400: based on the maximum heat extraction power and the single-well maximum heat supply power, and the annual heat extraction amount and the single-well annual maximum heat supply amount, respectively calculating a first value and a second value of the required geothermal well mouth number, and taking the smaller one and the larger one of the two values as the lower limit value and the upper limit value of the geothermal well mouth number, respectively; S500: Iterative optimization of wellhead number is performed in the range formed by the lower limit value and the upper limit value, a corresponding heat storage system is configured for each candidate wellhead number, total scheme investment including geothermal well and heat storage system is calculated, and the wellhead number and corresponding heat storage system configuration with the minimum total investment are selected as the final configuration scheme.

[0007] Preferably, S100 comprises: Combined with the building structure, use characteristics, meteorological parameters and heat supply demand, the design heat load of the target building group, the annual winter hourly heat load, the daily required heat supply and the total annual required heat supply of the target building group are calculated by the load simulation software.

[0008] Preferably, S200 comprises: S210: According to the design heat load of the target building group And the maximum heat extraction power required for the deep geothermal well in the heat pump unit energy efficiency ratio COP calculation , specifically: S220: According to the total annual required heat supply of the target building group And the annual heat extraction amount of the deep geothermal well in the heat pump unit energy efficiency ratio COP calculation , specifically: .

[0009] Preferably, S300 comprises: According to the depth, diameter and heat exchange mode of the deep geothermal well designed according to the regional geothermal geological conditions, the maximum heat supply power of a single well And the maximum annual heat supply amount of a single well Ensuring long-term stable operation.

[0010] Preferably, S400 comprises: S410: Based on the maximum heat extraction power And the maximum heat supply power of a single well Calculate the first value of the number of geothermal wellheads required to meet the typical design day heat load , specifically: Where, Indicates rounding up; S420: Based on the annual heat extraction amount And the maximum annual heat supply amount of a single well Calculate the second value N of the number of geothermal wells required to meet the total annual heat supply Q , specifically: S430: Determine the upper and lower limits of the number of deep geothermal wells according to the first value and the second value: ; .

[0011] Preferably, the step of optimizing the number of wellheads in the range formed by the lower limit value and the upper limit value in S500 comprises: S510: Set the initial number of wellheads ; S520: If , take , at this time the geothermal well configuration meets the typical design day peak load requirement, but the annual total heat supply is insufficient, and the number of geothermal wells needs to be increased or supplemented by other auxiliary heat sources to match the annual total heat supply of the heating system with the demand; If , take , at this time the geothermal well configuration meets the annual total heat supply requirement, but the typical design day peak load cannot be completely covered, and a thermal storage device needs to be configured to meet the end heating demand.

[0012] Preferably, the step of configuring a corresponding thermal storage system for each candidate wellhead number in S500 comprises: S530: Calculate the maximum heat supply power of the heating system according to the single-well maximum heat supply power and the heat pump unit energy efficiency ratio COP, which is: S540: Compare the building hourly heat load P bui,hour and the maximum heat supply power of the heating system : If , the geothermal heating meets the load demand, and the thermal storage system is in a thermal storage state or a stopped state; If , the geothermal heating cannot meet the load demand, and the thermal storage system needs to be discharged to make up for the amount of unsatisfied heating load; From the first time point when direct heating does not meet the heating load at the end of the heating season, count in reverse time order, record the amount of unsatisfied heating load at the i-th time point in the j-th continuous unsatisfied heating period , and accumulate to obtain the accumulated value of the unsatisfied heating load up to this time point , which is: Wherein, is the building hourly heat load at the i-th time point in the j-th unsatisfied period, unit: kW; n is the total number of time points in the period; The unit of is kWh.​ Hourly accumulation until ≤0, then continue to find the next heating unsatisfied period in reverse time order, repeat the above calculation until the start of the heating season; S550: According to the cumulative value of the heating unsatisfied amount of each unsatisfied period and the heating load unsatisfied amount, determine the required heat storage amount of the heat storage tank And heat release power : Wherein, The heating load unsatisfied amount at the i-th time point in the j-th continuous heating unsatisfied period, kW; The cumulative value of the heating unsatisfied amount up to the i-th time point in the j-th continuous heating unsatisfied period, kWh; The required heat storage amount of the heat storage tank, kWh; The required heat release power of the heat storage system, kW.

[0013] Preferably, the step of calculating the total scheme investment of the geothermal well system and the heat storage system in S500 includes: According to the market unit cost or comprehensive cost, the system investment is calculated according to the system configuration, specifically: In the formula, , , The investment of the heat storage system, the geothermal well system and the total scheme respectively; , , The unit heat storage cost of the heat storage system, the unit heat release power cost of the heat storage system, and the unit wellhead number cost of the geothermal well system respectively.

[0014] Preferably, the wellhead number iteration optimization process in S500 includes optimization iteration and optimal scheme determination: Determine whether the current wellhead number N reaches the upper limit of the geothermal wellhead number ; If , let N=N+1, and return to execute the heat storage system configuration and investment calculation step; If , end the optimization, compare the total scheme investment of all candidate wellhead numbers , determine the minimum investment value And select the minimum investment value corresponding to the geothermal well mouth number N and the heat storage amount of the heat storage tank As the economic optimal configuration scheme; For the economic optimal configuration scheme, the capacity of the heat storage tank and the heat release power are reasonably checked and fine-tuned by artificial judgment.

[0015] A configuration device of a middle-deep geothermal heat supply system and a heat storage system, comprising: A demand parameter acquisition module for acquiring heat supply demand parameters of a target building group; A demand analysis module for determining the maximum heat extraction power of the middle-deep geothermal well and the annual heat extraction amount required to meet the heat supply demand according to the heat supply demand parameters and the energy efficiency ratio of the heat pump unit; An exploration test module for conducting exploration test on the middle-deep geothermal well to obtain the maximum heat supply power of a single well and the annual maximum heat supply amount of a single well; An upper and lower limit determination module for calculating a first value and a second value of the required geothermal well mouth number based on the maximum heat extraction power and the maximum heat supply power of a single well, and the annual heat extraction amount and the annual maximum heat supply amount of a single well, and taking the smaller one and the larger one of the two values as the lower limit value and the upper limit value of the geothermal well mouth number, respectively; An optimal configuration module for iterative optimization of the well mouth number within the range formed by the lower limit value and the upper limit value, configuring a corresponding heat storage system for each candidate well mouth number, and calculating the total scheme investment including the geothermal well and the heat storage system, and selecting the well mouth number with the minimum total investment and the corresponding heat storage system configuration as the final configuration scheme.

[0016] The present application incorporates the maximum heat extraction power and heat supply amount into a unified framework, and avoids single-index decision bias by calculating the upper and lower limits of the well mouth number to determine the feasible range. By taking the heat storage as the active variable for iterative optimization and taking the minimum total investment as the criterion, the traditional master-slave thinking of geothermal well as the main and heat storage as the auxiliary is broken through, and the joint optimization design of the two is truly realized. After economic weighting, part of the high-cost geothermal well mouth number is replaced by heat storage, which greatly reduces the initial investment and accurately solves the economic pain points, providing key support for the large-scale promotion of technology. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 A flowchart of a configuration method of a middle-deep geothermal heat supply system and a heat storage system in an embodiment of the present application; Figure 2 A logic diagram of a configuration method of a middle-deep geothermal heat supply system and a heat storage system in an embodiment of the present application. DETAILED DESCRIPTION

[0018] In order to enable personnel in the technical field to better understand the technical solutions of the present application, the present application will be further described in detail below with reference to the drawings.

[0019] In one embodiment, such as Figure 1 As shown, a method for configuring a medium-deep geothermal heating system and a thermal storage system includes the following steps: S100: Obtain heating demand parameters for the target building complex; S200: Based on the heating demand parameters and the energy efficiency ratio of the heat pump unit, determine the maximum heat extraction power and annual heat extraction capacity of the medium-deep geothermal well required to meet the heating demand; S300: To conduct exploration and testing on medium-deep geothermal wells to obtain the maximum heating power and maximum annual heat supply of a single well. S400: Based on the maximum heat extraction power and the maximum heat supply power of a single well, the annual heat extraction and the annual maximum heat supply of a single well, calculate the first and second values ​​of the required number of geothermal wells respectively, and use the smaller and larger of the two values ​​as the lower limit and upper limit of the number of geothermal wells respectively. S500: Iterative optimization of the number of wellheads is performed within the range formed by the lower limit and the upper limit. For each candidate number of wellheads, a corresponding thermal storage system is configured, and the total investment of the scheme including geothermal wells and thermal storage system is calculated. The number of wellheads and the corresponding thermal storage system configuration with the minimum total investment are selected as the final configuration scheme.

[0020] Existing technologies rely solely on dividing the design load by the power of a single well to roughly estimate the number of wells, or configure the basic heat load according to a fixed ratio, resulting in configurations lacking scientific basis. This invention incorporates the dual constraints of meeting maximum heat extraction power and meeting annual heat supply requirements into the same configuration framework. By separately calculating the lower and upper limits of the number of wells, it clarifies the feasible range for geothermal well configuration, avoiding systematic biases caused by single-index decisions. This method achieves synergistic optimization of geothermal wells and the thermal storage system, treating the thermal storage system as a configuration variable rather than a fixed auxiliary facility. It iteratively optimizes within the upper and lower limits of the number of geothermal wells, configuring a matching thermal storage capacity for each candidate number of wells, and using the minimum total investment as the final criterion. This breaks through the traditional master-slave thinking of geothermal wells as the primary focus and thermal storage as a secondary function, truly achieving joint optimization design of both. In addition, this method significantly reduces the initial investment of the system. By making an economic trade-off between geothermal wells and thermal storage systems, it replaces part of the number of geothermal wells with thermal storage capacity. Under the premise of meeting heating demand, it effectively reduces the number of high-cost geothermal wells, solves the industry pain point of poor economic efficiency of medium-deep geothermal heating systems due to excessive initial investment, and provides key technical support for the large-scale promotion of geothermal heating technology.

[0021] In one embodiment, S100 includes: The design heat load of the target building complex is calculated using load simulation software, taking into account the building structure, usage characteristics, meteorological parameters, and heating demand. Hourly heat load throughout the winter Daily required heat supply and the total heating required throughout the year .

[0022] In one embodiment, S200 includes: S210: Design heat load based on the target building complex The maximum heat extraction power required for deep geothermal wells in the COP calculation of heat pump units Specifically: S220: Based on the total annual heating requirements of the target building complex In the calculation of the COP (Coefficient of Performance) of heat pump units, the annual heat extraction of deep geothermal wells is calculated. Specifically: .

[0023] In one embodiment, S300 includes: designing the depth, diameter, and heat exchange method of deep geothermal wells based on regional geothermal geological conditions, and obtaining the maximum heating power of a single well through exploratory well drilling and thermophysical property testing. And to ensure the maximum annual heat supply of a single well for long-term stable operation .

[0024] In one embodiment, S400 includes: S410: Based on maximum heat extraction power With the maximum heating power of a single well The first value for calculating the number of geothermal wellheads required to meet the typical design daily heat load. Specifically: in, Indicates rounding up; S420: Based on year-round heat extraction With the maximum annual heat supply of a single well The second value N is used to calculate the number of geothermal wells required to meet the total annual heat supply. Q Specifically: S430: Determine the upper and lower limits of the number of boreholes in medium-deep geothermal wells based on the first and second values: ; .

[0025] In one embodiment, the step of optimizing the number of wellheads within the range formed by the lower limit and the upper limit in S500 includes: S510: Set the initial number of wellheads ; S520: If Then take At this point, the geothermal well configuration meets the typical design daily peak load requirements, but due to the limited annual safe heat extraction capacity of a single geothermal well, the geothermal system may struggle to provide stable heating at the end of the heating season. Because the overall heat supply is insufficient, relying solely on the heat storage system as a regulating resource is no longer enough to meet the annual heating demand. It is necessary to increase the number of geothermal wells or supplement with other heat sources, such as boilers, air-source heat pumps, and solar water heaters, to ensure that the total annual heat supply of the heating system matches the demand. like Then take While the total heat extracted from geothermal wells can meet the building system's annual heating needs, the heating power may not be able to fully cover the demand during peak load periods on typical design days, leading to a drop in indoor temperature. In such cases, thermal storage devices can be installed to regulate the heating power during peak periods, thus meeting the end-point heating needs.

[0026] In one embodiment, the step of configuring a corresponding thermal storage system for each candidate wellhead in S500 includes: S530: The heating capacity of the ground source heat pump heating system is basically determined by the heat source, based on the maximum heating power of a single well. Calculate the maximum heating power of the heating system using the Coefficient of Performance (COP) of the heat pump unit. Specifically: S540: Comparison of building hourly heat load P bui,hour With the maximum heating capacity of the heating system : like If the geothermal heating meets the load demand, the heat storage system will be in a heat storage state or in a stopped state. like If geothermal heating cannot meet the load demand, a heat storage system is needed to release heat to compensate for the insufficient heating load. Starting from the first point in time at the end of the heating season when direct heating fails to meet the heating load, statistics are collected hourly in reverse chronological order, recording the amount of heating load shortfall at the i-th moment within the j-th consecutive period of insufficient heating. And sum them up to get the cumulative value of the heating shortfall up to that moment. Specifically: in, The hourly heat load of the building at the i-th moment within the j-th non-satisfied time period is expressed in kW; n is the total number of moments in that time period. The unit is kWh; Hourly accumulation until Then continue to search for the next period of insufficient heating in reverse time sequence, repeat the above calculation until the start of the heating season; S550: Determine the required heat storage capacity of the thermal storage tank based on the cumulative value of the heating shortfall during each period and the heating load shortfall. and heat dissipation power : in, Let be the amount of unmet heating load at the i-th time point within the j-th consecutive time period, expressed in kW. Let $k$ be the cumulative value of the amount of unmet heating demand during the period of unmet heating demand up to the $i$-th time point within the $j$-th consecutive time period. The required heat storage capacity of the heat storage tank, in kWh; The required heat release power for the thermal storage system is expressed in kW.

[0027] In one embodiment, the step in S500 of calculating the total investment of the scheme, which includes the geothermal well system and the thermal storage system, includes: Based on the system configuration, the system investment is calculated according to the market unit cost or comprehensive cost, specifically as follows: In the formula, , , These are the investments for the thermal storage system, the geothermal well system, and the overall plan. , , These are the unit cost of heat storage system, the unit cost of heat release power of heat storage system, and the unit cost of geothermal well system.

[0028] In one embodiment, the wellhead number iterative optimization process in S500 includes optimization iteration and determination of the optimal solution: Determine if the current number of wellheads N has reached the upper limit for the number of geothermal wellheads. ; like Let N = N + 1, and return to the steps of executing the thermal storage system configuration and investment calculation; like Then the optimization process ends, and the total investment corresponding to the number of candidate wellheads is compared. Determine the minimum investment value The number of geothermal wells N and the heat storage capacity of the storage tank corresponding to the minimum investment value are selected. As the optimal economic allocation solution; For the optimal economic configuration, the capacity of the thermal storage tank and the heat release power are rationally verified and fine-tuned through human judgment.

[0029] Specifically, the overall optimization logic diagram is as follows: Figure 2 As shown.

[0030] This invention proposes a system configuration method for a medium-deep geothermal system and thermal storage. By extracting medium-deep geothermal energy to solve the winter heating problem, and while meeting the heating needs of end users, it fully considers the problems existing in the prior art. Thermal energy storage is used as a regulating and backup heat source, thereby maximizing the utilization of limited medium-deep geothermal wells, achieving higher power and longer-term heat energy supply, reducing the number of geothermal wells in the heating system scheme and the overall project investment, and promoting the application of medium-deep geothermal energy.

[0031] In one embodiment, a configuration device for a medium-deep geothermal heating system and a thermal storage system includes: The demand parameter acquisition module is used to acquire the heating demand parameters of the target building group. The demand analysis module is used to determine the maximum heat extraction power and annual heat extraction capacity of the medium-deep geothermal wells required to meet the heating demand based on the heating demand parameters and the energy efficiency ratio of the heat pump unit. The exploration and testing module is used to conduct exploration and testing on medium-deep geothermal wells to obtain the maximum heating power and the maximum annual heat supply of a single well. The upper and lower limit determination module is used to calculate the first and second values ​​of the required number of geothermal wells based on the maximum heat extraction power and the maximum heat supply power of a single well, and the annual heat extraction power and the annual maximum heat supply of a single well, respectively, and to use the smaller and larger of the two values ​​as the lower limit and upper limit of the number of geothermal wells, respectively. The optimization configuration module is used to iteratively optimize the number of wellheads within the range formed by the lower limit and the upper limit. For each candidate number of wellheads, it configures the corresponding thermal storage system, calculates the total investment of the scheme including geothermal wells and thermal storage systems, and selects the number of wellheads and the corresponding thermal storage system configuration with the minimum total investment as the final configuration scheme.

[0032] Specific limitations regarding the configuration device for a medium-deep geothermal heating system and thermal storage system can be found in the above-described limitations on the configuration method for such a system, and will not be repeated here. Each module in the aforementioned configuration device for a medium-deep geothermal heating system and thermal storage system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the operations corresponding to each module.

[0033] The above provides a detailed description of the configuration method and apparatus for a medium-deep geothermal heating system and thermal storage system provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the invention, and the descriptions of the embodiments are merely for the purpose of helping to understand the core ideas of the invention. It should be noted that those skilled in the art can make various improvements and modifications to the invention without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims

1. A method for configuring a medium-deep geothermal heating system and a thermal storage system, characterized in that, Includes the following steps: S100: Obtain heating demand parameters for the target building complex; S200: Based on the heating demand parameters and the energy efficiency ratio of the heat pump unit, determine the maximum heat extraction power and annual heat extraction capacity of the medium-deep geothermal well required to meet the heating demand; S300: To conduct exploration and testing on medium-deep geothermal wells to obtain the maximum heating power and maximum annual heat supply of a single well. S400: Based on the maximum heat extraction power and the maximum heat supply power of a single well, the annual heat extraction and the annual maximum heat supply of a single well, calculate the first and second values ​​of the required number of geothermal wells respectively, and use the smaller and larger of the two values ​​as the lower limit and upper limit of the number of geothermal wells respectively. S500: Iterative optimization of the number of wellheads is performed within the range formed by the lower limit and the upper limit. For each candidate number of wellheads, a corresponding thermal storage system is configured, and the total investment of the scheme including geothermal wells and thermal storage system is calculated. The number of wellheads and the corresponding thermal storage system configuration with the minimum total investment are selected as the final configuration scheme.

2. The configuration method according to claim 1, characterized in that, S100 includes: By combining building structure, usage characteristics, meteorological parameters and heating demand, the design heat load, hourly heat load throughout the winter, daily heat supply and total annual heat supply of the target building group are calculated using load simulation software.

3. The configuration method according to claim 1, characterized in that, S200 includes: S210: Design heat load based on the target building complex The maximum heat extraction power required for deep geothermal wells in the COP calculation of heat pump units Specifically: S220: Based on the total annual heating requirements of the target building complex In the calculation of the COP (Coefficient of Performance) of heat pump units, the annual heat extraction of deep geothermal wells is calculated. Specifically: 。 4. The configuration method according to claim 1, characterized in that, S300 includes: designing the depth, diameter, and heat exchange method of deep geothermal wells based on regional geothermal geological conditions; and obtaining the maximum heating power of a single well through exploratory well drilling and thermal property testing. And to ensure the maximum annual heat supply of a single well for long-term stable operation .

5. The configuration method according to claim 1, characterized in that, The S400 includes: S410: Based on maximum heat extraction power With the maximum heating power of a single well The first value for calculating the number of geothermal wellheads required to meet the typical design daily heat load. Specifically: in, Indicates rounding up; S420: Based on year-round heat extraction With the maximum annual heat supply of a single well The second value N is used to calculate the number of geothermal wells required to meet the total annual heat supply. Q Specifically: S430: Determine the upper and lower limits of the number of boreholes in medium-deep geothermal wells based on the first and second values: ； 。 6. The configuration method according to claim 1, characterized in that, The steps for optimizing the number of wellheads within the range defined by the lower and upper limits in S500 include: S510: Set the initial number of wellheads ; S520: If Then take At this point, the configuration of geothermal wells meets the typical design daily peak load requirements, but the total annual heat supply is insufficient. It is necessary to increase the number of geothermal wells or supplement them with other auxiliary heat sources so that the total annual heat supply of the heating system matches the demand. like Then take At this time, the configuration of geothermal wells meets the total annual heat supply requirements, but the typical daily peak load cannot be fully covered, so heat storage equipment needs to be configured for peak shaving to meet the end-point heating demand.

7. The configuration method according to claim 1, characterized in that, The steps for configuring a corresponding thermal storage system for each candidate wellhead in S500 include: S530: Based on the maximum heating power of a single well Calculate the maximum heating power of the heating system using the Coefficient of Performance (COP) of the heat pump unit. Specifically: S540: Comparison of building hourly heat load P bui,hour With the maximum heating capacity of the heating system : like If the geothermal heating meets the load demand, the heat storage system will be in a heat storage state or in a stopped state. like If geothermal heating cannot meet the load demand, a heat storage system is needed to release heat to compensate for the insufficient heating load. Starting from the first point in time at the end of the heating season when direct heating fails to meet the heating load, statistics are collected hourly in reverse chronological order, recording the amount of heating load shortfall at the i-th moment within the j-th consecutive period of insufficient heating. And sum them up to get the cumulative value of the heating shortfall up to that moment. Specifically: in, The hourly heat load of the building at the i-th moment within the j-th non-satisfied time period is expressed in kW; n is the total number of moments in that time period. The unit is kWh; Hourly accumulation until Then continue to search for the next period of insufficient heating in reverse time sequence, repeat the above calculation until the start of the heating season; S550: Determine the required heat storage capacity of the thermal storage tank based on the cumulative value of the heating shortfall during each period and the heating load shortfall. and heat dissipation power : in, Let be the amount of unmet heating load at the i-th time point within the j-th consecutive time period, expressed in kW. Let $k$ be the cumulative value of the amount of unmet heating demand during the period of unmet heating demand up to the $i$-th time point within the $j$-th consecutive time period. The required heat storage capacity of the heat storage tank, in kWh; The required heat release power for the thermal storage system is expressed in kW.

8. The configuration method according to claim 7, characterized in that, The steps for calculating the total investment for a scheme that includes geothermal well systems and thermal storage systems in S500 include: Based on the system configuration, the system investment is calculated according to the market unit cost or comprehensive cost, specifically as follows: In the formula, , , These are the investments for the thermal storage system, the geothermal well system, and the overall plan. , , These are the unit cost of heat storage system, the unit cost of heat release power of heat storage system, and the unit cost of geothermal well system.

9. The configuration method according to claim 8, characterized in that, The iterative optimization process for finding the number of wellheads in S500 includes optimization iteration and determination of the optimal solution: Determine if the current number of wellheads N has reached the upper limit for the number of geothermal wellheads. ; like Let N = N + 1, and return to the steps of executing the thermal storage system configuration and investment calculation; like Then the optimization process ends, and the total investment corresponding to the number of candidate wellheads is compared. Determine the minimum investment value The number of geothermal wells N and the heat storage capacity of the storage tank corresponding to the minimum investment value are selected. As the optimal economic allocation solution; For the optimal economic configuration, the capacity of the thermal storage tank and the heat release power are rationally verified and fine-tuned through human judgment.

10. A configuration device for a medium-deep geothermal heating system and a thermal storage system, characterized in that, include: The demand parameter acquisition module is used to acquire the heating demand parameters of the target building group. The demand analysis module is used to determine the maximum heat extraction power and annual heat extraction capacity of the medium-deep geothermal wells required to meet the heating demand based on the heating demand parameters and the energy efficiency ratio of the heat pump unit. The exploration and testing module is used to conduct exploration and testing on medium-deep geothermal wells to obtain the maximum heating power and the maximum annual heat supply of a single well. The upper and lower limit determination module is used to calculate the first and second values ​​of the required number of geothermal wells based on the maximum heat extraction power and the maximum heat supply power of a single well, and the annual heat extraction power and the annual maximum heat supply of a single well, respectively, and to use the smaller and larger of the two values ​​as the lower limit and upper limit of the number of geothermal wells, respectively. The optimization configuration module is used to iteratively optimize the number of wellheads within the range formed by the lower limit and the upper limit. For each candidate number of wellheads, it configures the corresponding thermal storage system, calculates the total investment of the scheme including geothermal wells and thermal storage systems, and selects the number of wellheads and the corresponding thermal storage system configuration with the minimum total investment as the final configuration scheme.

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