Dynamic over-supply regulation method and device for middle-deep geothermal heat pump system

Abstract

The application provides a dynamic over-supply regulation method and device for a middle-deep ground source heat pump system, comprising: obtaining a time-of-use electricity price of a target area, and determining an over-supply operation mode of the middle-deep ground source heat pump system based on the time-of-use electricity price; obtaining an operation parameter of the middle-deep ground source heat pump system under a current reference working condition, and monitoring a heating demand level of a heating building in real time; based on a pre-constructed over-supply performance model of a middle-deep buried pipe of the middle-deep ground source heat pump system and the operation parameter under the current reference working condition, calculating an over-supply time period cumulative heat extraction amount improvement ratio under different over-supply operation modes; and based on the over-supply time period cumulative heat extraction amount improvement ratio under different over-supply operation modes and the building heating demand level, determining a target over-supply operation mode of the middle-deep ground source heat pump system. The application improves energy utilization efficiency and reduces system operation cost.

Description

Technical Field

[0001] This invention relates to the field of building heating and cooling technology, and in particular to a dynamic oversupply control method and device for a medium-deep ground source heat pump system. Background Technology

[0002] Building heating and cooling systems are a vital public service project that has garnered significant attention from all sectors of society. It is estimated that in 2019, carbon emissions from building operation energy consumption amounted to approximately 2.1 billion tons, accounting for about 22% of total carbon emissions. Of this, heating and cooling source systems account for nearly 60%. Meanwhile, with the continuous improvement of urbanization levels, 4.083 billion square meters of new building area were completed in 2021. To minimize carbon emissions from building heating and cooling systems, a crucial approach is to fully utilize renewable energy sources and achieve cleaner and electrified energy use for heating and cooling.

[0003] Medium-deep geothermal energy utilization technology is a new type of geothermal heating technology that has emerged in recent years. Its difference from hydrothermal geothermal utilization technology lies in the fact that it does not extract and use underground hot water, thus causing less disturbance to the groundwater environment. Medium-deep buried pipe heat pump heating technology uses medium-deep rock and soil (depth 2000m~3000m) as a heat source, extracts heat through a medium-deep geothermal heat exchange system, and supplies heating to buildings through a geothermal heat pump unit. The underground buried pipe heat exchanger system is an important component of the medium-deep buried pipe ground source heat pump system, primarily responsible for heat exchange between the heat pump unit and the underground environment. In the medium-deep buried pipe heat pump system, a circulating pump drives the heat transfer medium (usually water or an aqueous solution with added antifreeze) to flow within closed buried pipes. However, in the current application of medium-deep ground source heat pump systems, existing technologies have many shortcomings. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a dynamic oversupply control method and device for a medium-deep ground source heat pump system, so as to improve energy utilization efficiency and reduce system operating costs.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] In a first aspect, the present invention provides a dynamic oversupply control method for a medium-deep ground source heat pump system, comprising: obtaining the time-of-use electricity price of the target area and determining the oversupply operation mode of the medium-deep ground source heat pump system based on the time-of-use electricity price; obtaining the operating parameters of the medium-deep ground source heat pump system under the current benchmark operating conditions, and real-time monitoring of the heating demand level of the heated buildings; calculating the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes based on the pre-constructed oversupply performance model of the medium-deep buried pipe of the medium-deep ground source heat pump system and the operating parameters under the current benchmark operating conditions; and determining the target oversupply operation mode of the medium-deep ground source heat pump system based on the cumulative heat extraction increase ratio during the oversupply period and the heating demand level of the buildings under different oversupply operation modes.

[0007] Optionally, determining the oversupply operation mode of the medium-deep ground source heat pump system based on time-of-use electricity pricing includes: determining peak periods, high-peak periods, and low-price periods based on time-of-use electricity pricing; wherein, periods with time-of-use electricity prices greater than or equal to a first threshold are peak periods, periods with time-of-use electricity prices greater than or equal to a second threshold but less than the first threshold are high-peak periods, periods with time-of-use electricity prices less than the second threshold are low-price periods, and the first threshold is greater than the second threshold; determining oversupply periods based on peak periods and high-peak periods; wherein, oversupply periods include one of the following: a first preset low-price period before peak periods, a second preset low-price period before peak periods, a first preset low-price period before peak periods and a first preset low-price period before high-peak periods, a second preset low-price period before peak periods and a second preset low-price period before high-peak periods; determining an oversupply operation mode based on the oversupply periods; wherein, the oversupply operation mode is that the medium-deep ground source heat pump system operates according to the corresponding oversupply conditions during the oversupply periods, and operates according to the baseline conditions during other periods; each oversupply operation mode corresponds to one oversupply period.

[0008] Optionally, real-time monitoring of the heating demand level of the heating building includes: collecting heat load data of the heating building and determining the heating demand level corresponding to peak and high periods based on the heat load data; wherein, if the heat load data of the peak or high period exceeds a first preset value, the heating demand level corresponding to the peak or high period is determined to be high heating demand.

[0009] Optionally, based on the increase in cumulative heat extraction during the over-supply period and the building heating demand level under different over-supply operation modes, the target over-supply operation mode for the medium-deep ground source heat pump system is determined, including: if the heating demand level corresponding to both peak and low-peak periods is high heating demand, then the first over-supply operation mode corresponding to the first preset low-electricity-price period before the peak period and the first preset low-electricity-price period before the high-peak period, and the second over-supply operation mode corresponding to the second preset low-electricity-price period before the peak period and the second preset low-electricity-price period before the high-peak period are determined as candidate over-supply operation modes, and based on the first over-supply... The target over-supply operation mode of the medium-deep ground source heat pump system is determined by the increase in the cumulative heat extraction during the over-supply period corresponding to the second over-supply operation mode. If the heating demand level corresponding to the peak period is high heating demand, the third over-supply operation mode corresponding to the first preset low electricity price period before the peak period and the fourth over-supply operation mode corresponding to the second preset low electricity price period before the peak period are determined as candidate over-supply operation modes. The target over-supply operation mode of the medium-deep ground source heat pump system is determined based on the increase in the cumulative heat extraction during the over-supply period corresponding to the third and fourth over-supply operation modes.

[0010] Optionally, after determining the oversupply operation mode of the medium-deep ground source heat pump system based on time-of-use electricity pricing, the process also includes: determining various benchmark operating conditions of the medium-deep ground source heat pump system and the oversupply operating conditions corresponding to the oversupply operation mode; constructing an oversupply performance model of the medium-deep buried pipe of the medium-deep ground source heat pump system by simulating the oversupply operation mode and various benchmark operating conditions; wherein, the oversupply performance model of the medium-deep buried pipe is used to characterize the relationship between the oversupply performance of the medium-deep buried pipe and the benchmark operating conditions and the oversupply operating conditions of the oversupply operation mode.

[0011] Optionally, by simulating the oversupply operation mode and various benchmark operating conditions of the medium-deep ground source heat pump system, an oversupply performance model of the medium-deep buried pipe of the medium-deep ground source heat pump system is constructed. This includes: based on the oversupply operating conditions and the oversupply operating modes corresponding to the oversupply conditions, through dynamic simulation, calculating the operating parameters of the medium-deep buried pipe of the medium-deep ground source heat pump system under different oversupply operating modes, as well as the operating parameters of the medium-deep buried pipe under different benchmark operating conditions; wherein, the operating parameters include at least: heat extraction, inlet temperature, and outlet temperature; comparing the operating parameters of the medium-deep buried pipe under different oversupply operating modes and the operating parameters of the medium-deep buried pipe under different benchmark operating conditions, and calculating the cumulative heat extraction increase ratio during the oversupply period under different oversupply operating modes; performing data trend analysis and regression fitting on the cumulative heat extraction increase ratio during the oversupply period under different benchmark operating conditions and different oversupply operating modes to obtain the oversupply performance model of the medium-deep buried pipe.

[0012] Optional, the oversupply performance model for medium-deep buried pipes is:

[0013]

[0014] in, n Increase the proportion of cumulative heat taken during periods of oversupply; For over-supply time; This serves as the baseline operating condition for a medium-deep ground source heat pump system. This refers to the oversupply condition of a medium-deep ground source heat pump system.

[0015] Secondly, the present invention provides a dynamic oversupply control device for a medium-deep ground source heat pump system, comprising: an operation mode determination module for obtaining the time-of-use electricity price of the target area and determining the oversupply operation mode of the medium-deep ground source heat pump system based on the time-of-use electricity price; a heating demand monitoring module for obtaining the operating parameters of the medium-deep ground source heat pump system under the current baseline operating conditions and monitoring the heating demand level of the heating building in real time; a heat extraction increase ratio calculation module for calculating the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes based on a pre-constructed oversupply performance model of the medium-deep buried pipe of the medium-deep ground source heat pump system and the operating parameters under the current baseline operating conditions; and an oversupply control module for determining the target oversupply operation mode of the medium-deep ground source heat pump system based on the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes and the building heating demand level.

[0016] Thirdly, the present invention provides an electronic device including a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the steps of the method provided in any of the first aspects above.

[0017] Fourthly, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, performs the steps of the method provided in any of the first aspects above.

[0018] This invention brings the following beneficial effects:

[0019] The dynamic oversupply control method and apparatus for the medium-deep ground source heat pump system provided by the present invention first obtains the time-of-use electricity price of the target area and determines the oversupply operation mode of the medium-deep ground source heat pump system based on the time-of-use electricity price; then, it obtains the operating parameters of the medium-deep ground source heat pump system under the current benchmark operating conditions and monitors the heating demand level of the heating buildings in real time; next, based on the pre-constructed oversupply performance model of the medium-deep buried pipe of the medium-deep ground source heat pump system and the operating parameters under the current benchmark operating conditions, it calculates the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes; finally, based on the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes and the heating demand level of the buildings, it determines the target oversupply operation mode of the medium-deep ground source heat pump system. The above method can determine different oversupply operation modes by combining time-of-use electricity pricing characteristics, and calculate the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes using the oversupply performance model of medium-deep ground source heat pump system. Finally, the oversupply regulation of medium-deep ground source heat pump system is carried out by combining the cumulative heat extraction increase ratio during the oversupply period and the building heating demand level. The oversupply performance model of medium-deep ground source heat pump system can clarify the oversupply capacity law of medium-deep ground source heat pump system under different oversupply durations, different baseline operating conditions and oversupply conditions, thereby realizing precise regulation of the oversupply process, improving energy utilization efficiency and reducing system operating costs.

[0020] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0021] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0022] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0023] Figure 1 A schematic diagram illustrating a medium-deep geothermal oversupply operation scenario provided by an embodiment of the present invention;

[0024] Figure 2 A schematic diagram illustrating another medium-deep geothermal oversupply operation scenario provided by an embodiment of the present invention;

[0025] Figure 3A schematic diagram illustrating the increase in cumulative heat extraction ratio (tsin=20℃) during the oversupply period of a medium-deep underground pipe system provided in an embodiment of the present invention;

[0026] Figure 4 A schematic diagram illustrating the increase in cumulative heat extraction ratio (tsin=15℃) during the oversupply period of a medium-deep underground pipe system provided in an embodiment of the present invention;

[0027] Figure 5 A schematic diagram illustrating the increase in cumulative heat extraction ratio (tsin=12℃) during the oversupply period of a medium-deep underground pipe system provided in an embodiment of the present invention;

[0028] Figure 6 A schematic diagram illustrating the increase in cumulative heat extraction ratio (tsin=8℃) during the oversupply period of a medium-deep underground pipe system provided in an embodiment of the present invention;

[0029] Figure 7 A flowchart of a dynamic oversupply control method for a medium-deep ground source heat pump system provided in an embodiment of the present invention;

[0030] Figure 8 A flowchart of a dynamic oversupply control method provided in an embodiment of the present invention;

[0031] Figure 9 This is a schematic diagram of the structure of a dynamic oversupply control device for a medium-deep ground source heat pump system provided in an embodiment of the present invention;

[0032] Figure 10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] Currently, existing technologies still have many shortcomings in the application of medium-deep ground source heat pump systems, mainly in the following aspects:

[0035] (1) Low energy efficiency in response to time-of-use pricing: In the case of thermal storage, the existing system has failed to fully combine the characteristics of time-of-use pricing to formulate an effective dynamic adjustment strategy. It is unable to achieve efficient thermal storage through reasonable oversupply during low electricity price periods, resulting in the need to consume more energy to meet heating demand during high electricity price periods, which increases operating costs.

[0036] (2) Lack of targeted oversupply capacity regulation: The system’s “oversupply” capacity depends on the characteristics of medium-deep geothermal resources, including oversupply capacity, sustainability, and response characteristics. However, existing technologies have not conducted in-depth research and quantitative analysis on these characteristics, making it difficult to accurately regulate oversupply operation according to actual needs. This may result in insufficient oversupply to meet subsequent needs or excessive oversupply affecting the sustainability of geothermal resources.

[0037] (3) Unreasonable operating conditions: Traditional systems use a "high guarantee rate" when configuring capacity, which causes the heat source system to operate under partial load conditions for most of the heating season. The design conditions only appear for a small number of times, and the operating conditions are not optimized according to the dynamic fluctuation characteristics of the building heat load, resulting in energy waste.

[0038] (4) Lack of quantitative control rules and methods: Existing technologies have not established a clear relationship between the cumulative heat extraction ratio during the oversupply period and the oversupply duration, baseline operating conditions, and oversupply operating conditions, which cannot provide scientific and accurate guidance for the optimized operation of the system, resulting in a large degree of blindness in the operation of the system.

[0039] Based on this, the present invention provides a dynamic oversupply control method and device for a medium-deep ground source heat pump system, which can improve energy utilization efficiency and reduce system operating costs.

[0040] To facilitate understanding of this embodiment, the construction of the oversupply performance model of medium-deep buried pipe disclosed in this embodiment of the invention will be described in detail first. Based on the time-of-use electricity pricing characteristics, by setting different benchmark operating conditions and oversupply operating conditions, and combining dynamic simulation methods, the operating characteristics and laws of the system under different oversupply durations are analyzed, thereby obtaining the oversupply performance law of medium-deep buried pipe, that is, the oversupply performance model of medium-deep buried pipe.

[0041] Based on this, the construction of the oversupply performance model for medium-deep buried pipelines includes the following process:

[0042] (1) Obtain the time-of-use electricity price of the target area and determine the oversupply period of the medium-deep ground source heat pump system based on the time-of-use electricity price.

[0043] In practice, the high-price periods (e.g., peak hours, high-peak hours) and low-price periods (e.g., off-peak hours) are first determined based on the time-of-use electricity prices in the target area. The low-price periods preceding the high-price periods are then designated as oversupply periods. Assuming peak hours are specific 1-2 hours each day, and high-peak hours are other specific periods, the peak hours and the low-price periods preceding the high-peak hours are considered oversupply periods. See also... Figure 1 As shown, 7 PM to 8 PM is the peak electricity price period. The hour before the peak period (6 PM) can be designated as the oversupply period, or the two hours before the peak period (5 PM to 6 PM) can be designated as the oversupply period; see [link / reference]. Figure 2As shown, 7 PM to 8 PM is the peak period for electricity prices, and 9 AM to 11 AM is the high-end period. The hour before the peak period (6 PM) and the hour before the high-end period (8 AM) can be defined as the oversupply period, or the two hours before the peak period (5 PM to 6 PM) and the two hours before the high-end period (7 AM to 8 AM) can be defined as the oversupply period.

[0044] (2) Determine the various benchmark operating conditions of the medium-deep ground source heat pump system and the oversupply operating conditions corresponding to the oversupply operation mode.

[0045] In practical implementation, the reference inlet water temperature (i.e. reference operating condition) of the medium-deep ground source heat pump system is set, including various different temperature scenarios (such as 8℃, 12℃, 15℃, 20℃, etc.). The medium-deep ground source heat pump system operates according to the reference operating condition during non-oversupply periods.

[0046] During the oversupply period, the inlet water temperature of the medium-deep buried pipe is adjusted to the maximum heat extraction operating temperature (e.g., 4℃), and different oversupply durations are set (e.g., 1 hour before peak, 2 hours before peak, 1 hour before both peak and high peak, and 2 hours before both peak and high peak).

[0047] (3) By simulating the oversupply operation mode and various different benchmark operating conditions of the medium-deep ground source heat pump system, an oversupply performance model of the medium-deep ground source heat pump system is constructed; among them, the oversupply performance model of the medium-deep ground source heat pump system is used to characterize the relationship between the oversupply performance of the medium-deep ground source heat pump system and the benchmark operating conditions and the oversupply operating conditions of the oversupply operation mode.

[0048] In practical implementation, firstly, based on the oversupply conditions and the oversupply operation modes corresponding to the oversupply conditions, dynamic simulation is used to calculate the operating parameters of the medium-deep ground source heat pump system's medium-deep buried pipes under different oversupply operation modes, as well as the operating parameters of the medium-deep buried pipes under different benchmark conditions. The operating parameters include at least: heat extraction, inlet temperature, and outlet temperature. Then, the operating parameters of the medium-deep buried pipes under different oversupply operation modes and under different benchmark conditions are compared to calculate the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes. Finally, data trend analysis and regression fitting are performed on the cumulative heat extraction increase ratio during the oversupply period under different benchmark conditions and different oversupply operation modes to obtain the oversupply performance model of the medium-deep buried pipes.

[0049] Specifically, dynamic simulation is used to calculate the hourly heat extraction, inlet temperature, and outlet temperature of medium-deep buried pipes under different oversupply conditions. The heat extraction and peak heat extraction parameters under oversupply conditions are compared with those under the baseline conditions. The cumulative heat extraction increase ratio during the oversupply period is calculated. The relationship between the oversupply capacity of medium-deep buried pipes and the oversupply duration, the baseline conditions, and the oversupply conditions is analyzed to obtain the oversupply performance model of medium-deep buried pipes.

[0050] In one implementation, the reference inlet water temperatures are selected as 20℃ (reference condition one), 15℃ (reference condition two), 12℃ (reference condition three), and 8℃ (reference condition four). The inlet water temperature for the oversupply condition is set to 4℃ (the minimum inlet water temperature for stable operation of the buried pipe), and the oversupply duration is set to 1 hour before the peak, 2 hours before the peak, 1 hour before both the peak and high peak, and 2 hours before both the peak and high peak. The operating scenarios for the medium-deep ground source heat pump system are shown in Table 1.

[0051] Table 1. Operating Conditions for Dynamic Response of Medium-Deep Geothermal Layers

[0052]

[0053] Under the baseline operating condition 1 (inlet water temperature 20℃), dynamic simulation calculations were performed, and the simulation results of the heat extraction and inlet / outlet temperature of the deep buried pipe under the baseline operating condition 1 are shown in Tables 2 and 3. Under the baseline operating condition 1 (inlet water temperature of the deep buried pipe 20℃), the cumulative heat extraction during the oversupply period and the cumulative heat extraction under the baseline operating condition were calculated and analyzed to obtain the following results: (1) 1 hour before the peak, the cumulative heat extraction from the underground soil and rock of the deep buried pipe under the baseline operating condition was 282.2 kWh, and the cumulative heat extraction from the underground soil and rock of the deep buried pipe under the maximum heat extraction condition (oversupply condition) was 604.8 kWh; the cumulative heat extraction increase ratio was 114.3%. (2) 2 hours before the peak, the cumulative heat extraction under the baseline operating condition was 566.4 kWh, and the cumulative heat extraction under the maximum heat extraction condition (oversupply condition) was 1171.3 kWh; the increase ratio was 106.8%. (3) 1 hour before the peak and the high-peak, the cumulative heat extraction under the baseline operating condition is 593.9 kWh, and the cumulative heat extraction under the maximum heat extraction condition (oversupply condition) is 1236.0 kWh; the increase rate is 108.1%. (4) 2 hours before the peak and the high-peak, the cumulative heat extraction under the baseline operating condition is 1194.9 kWh, and the cumulative heat extraction under the maximum heat extraction condition (oversupply condition) is 2392.1 kWh; the increase rate is 100.2%.

[0054] Table 2. Cumulative heat collection over different time periods (Baseline Condition 1)

[0055]

[0056] Table 3. Cumulative increase in heat extraction percentage over different time periods (Baseline Condition 1)

[0057]

[0058] Referring to Tables 4 and 5, under the baseline operating condition (inlet water temperature of 20℃ for medium-deep buried pipes), the peak heat output of the oversupply condition and the peak heat output of the baseline operating condition were calculated and analyzed as follows: (1) The peak heat output of the baseline operating condition for 24 hours was 444.1kW; (2) The peak heat output of the “oversupply 1 hour before the peak” for 24 hours was 643.3kW, which was 44.9% higher than the baseline operating condition; (3) The peak heat output of the “oversupply 2 hours before the peak” for 24 hours was 645.4kW, which was 45.3% higher than the baseline operating condition; (4) The peak heat output of the “oversupply 1 hour before both peak and peak” for 24 hours was 674.0kW, which was 51.8% higher than the baseline operating condition; (5) The peak heat output of the “oversupply 2 hours before both peak and peak” for 24 hours was 679.3kW, which was 53.0% higher than the baseline operating condition. (6) Supplementary explanation: Compared with the design condition (i.e., the reference condition four, the water inlet temperature of the medium-deep buried pipe is 8℃), the peak heat output of the above-mentioned oversupply scenario in the reference condition one is the same as the peak heat output of the design condition in the 24 hours, and there is no additional increase.

[0059] Table 4 Peak heat extraction time periods (Baseline Condition 1)

[0060]

[0061] Table 5 Peak heat extraction increase ratio (baseline condition 1)

[0062]

[0063] Similarly, the simulation results for basic working conditions two, three, and four can be obtained:

[0064] Under baseline conditions 2 (medium-deep buried pipe inlet water temperature 15℃), 3 (medium-deep buried pipe inlet water temperature 12℃), and 4 (medium-deep buried pipe inlet water temperature 8℃), the cumulative heat extraction during the oversupply period was calculated and analyzed compared with the cumulative heat extraction under the baseline conditions.

[0065] (1) One hour before the peak, the cumulative heat extraction rate of the over-supply condition under the baseline operating condition 2 was 64.4% higher than that under the baseline operating condition. The cumulative heat extraction rate of the over-supply condition under the baseline operating condition 3 was 42.3% higher than that under the baseline operating condition. The cumulative heat extraction rate of the over-supply condition under the baseline operating condition 4 was 18.7% higher than that under the baseline operating condition.

[0066] (2) Two hours before the peak, the cumulative heat extraction rate of the over-supply condition under the baseline operating condition 2 was 60.2% higher than that under the baseline operating condition. The cumulative heat extraction rate of the over-supply condition under the baseline operating condition 3 was 39.5% higher than that under the baseline operating condition. The cumulative heat extraction rate of the over-supply condition under the baseline operating condition 4 was 17.5% higher than that under the baseline operating condition.

[0067] (3) 1 hour before the peak and the peak, the cumulative heat extraction rate of the over-supply condition under the baseline operating condition 2 is 60.8% higher than that under the baseline operating condition. The cumulative heat extraction rate of the over-supply condition under the baseline operating condition 3 is 39.9% higher than that under the baseline operating condition. The cumulative heat extraction rate of the over-supply condition under the baseline operating condition 4 is 17.6% higher than that under the baseline operating condition.

[0068] (4) In the two hours before the peak and the peak, the cumulative heat extraction rate of the over-supply condition under the baseline operating condition 2 is 56.4% higher than that under the baseline operating condition. The cumulative heat extraction rate of the over-supply condition under the baseline operating condition 3 is 37.0% higher than that under the baseline operating condition. The cumulative heat extraction rate of the over-supply condition under the baseline operating condition 4 is 16.3% higher than that under the baseline operating condition.

[0069] Under baseline conditions 2 (medium-deep buried pipe inlet water temperature 15℃), 3 (medium-deep buried pipe inlet water temperature 12℃), and 4 (medium-deep buried pipe inlet water temperature 8℃), the peak heat output under the oversupply condition and the peak heat output under the baseline conditions were calculated and analyzed.

[0070] (1) Baseline Condition 2: The peak heat output of 24 hours is 6.5% higher than the baseline condition when the supply is 1 hour ahead of the peak; the peak heat output of 24 hours is 7.0% higher than the baseline condition when the supply is 2 hours ahead of the peak; the peak heat output of 24 hours is 13.5% higher than the baseline condition when the supply is 1 hour ahead of both peak and off-peak hours; and the peak heat output of 24 hours is 14.6% higher than the baseline condition when the supply is 2 hours ahead of both peak and off-peak hours.

[0071] (2) Peak heat extraction for 24 hours under the following scenarios: baseline working condition 2, baseline working condition 3, and baseline working condition 4. Oversupply working condition is the same as baseline working condition.

[0072] Furthermore, under different baseline operating conditions and different over-supply operation modes, the dynamic operating characteristics and over-supply performance of medium-deep buried pipes were further analyzed, based on the analysis of the cumulative heat extraction increase during the over-supply period, the peak heat extraction capacity of the over-supply mode throughout the day, and the cumulative heat extraction increase throughout the day.

[0073] First, define the percentage increase in cumulative heat extraction during periods of oversupply, as shown in the following formula.

[0074]

[0075] in, n To increase the cumulative heat collection rate during periods of oversupply, % t Runtime, in hours (h); The start time of the oversupply period, in hours (h). The end time of the oversupply period, h; For hourly heat supply of deep buried pipe systems under over-supply conditions, kW; The hourly heat supply of the deep buried pipe system under the baseline operating conditions is given in kW.

[0076] The oversupply performance of the medium-deep buried pipe system under the various oversupply modes described above is analyzed below. (See also...) Figures 3 to 6 As shown, under the computational boundary conditions of the aforementioned embodiments, based on several oversupply conditions, the relationship between the oversupply capacity of the medium-deep buried pipe system and influencing factors such as oversupply duration, baseline condition, and oversupply condition is obtained. This leads to the further deriving of the oversupply capacity law for medium-deep buried pipes, i.e., the oversupply performance model for medium-deep buried pipes is:

[0077]

[0078] in, n To increase the cumulative heat collection rate during periods of oversupply, % For over-supply duration, h; This serves as the baseline operating condition for a medium-deep ground source heat pump system. This refers to the oversupply condition of a medium-deep ground source heat pump system.

[0079] Furthermore, based on the quantitative data of the oversupply operation mode and benchmark operating conditions mentioned earlier in this report, a trend analysis and regression fitting of the oversupply capacity data were performed to obtain the trend of oversupply capacity of medium-deep buried pipes under the calculation boundary conditions of this report, as shown in Table 6:

[0080] Table 6 Oversupply Performance of Medium-Deep Buried Pipeline Systems

[0081]

[0082] Furthermore, the over-supply capacity law obtained in this embodiment of the invention can also be used in the planning stage of a medium-deep ground source heat pump system. Based on building heating demand, local time-of-use electricity pricing policies, and geothermal resource characteristics, the over-supply capacity law formula can be used to calculate the heat extraction potential under different baseline operating conditions (such as inlet water temperatures of 8℃, 12℃, 15℃, and 20℃) and over-supply durations, optimizing parameters such as buried pipe specifications and heat pump unit capacity. During system operation, the optimal over-supply duration can be quickly determined using the law formula, combined with real-time heating demand and electricity price periods. For example, when the baseline operating condition is 15℃, the formula can calculate the heat extraction improvement effect of over-supplying for 1 hour or 2 hours, achieving precise control. By quantifying the law and comparing the operating costs (combined with time-of-use electricity pricing) and energy efficiency improvement of different over-supply strategies, the most cost-effective over-supply scheme can be selected while meeting heating demand, reducing system operating costs.

[0083] Next, a dynamic oversupply control method for a medium-deep ground source heat pump system provided by an embodiment of the present invention will be described in detail. This method can be executed by electronic equipment. See [link to relevant documentation]. Figure 7The flowchart shown illustrates a dynamic oversupply control method for a medium-deep ground source heat pump system, indicating that the method mainly includes the following steps S701 to S704:

[0084] Step S701: Obtain the time-of-use electricity price for the target area and determine the oversupply operation mode of the medium-deep ground source heat pump system based on the time-of-use electricity price.

[0085] In practice, power supply data for the target area is collected, and time-of-use pricing is determined. Based on this pricing, the oversupply operation mode of the medium-deep ground source heat pump system is then determined. Specifically, this includes:

[0086] First, based on time-of-use (TOU) pricing, peak hours, high-peak hours, and low-price hours are determined. Specifically, peak hours are defined as periods where the TOU price is greater than or equal to a first threshold; high-peak hours are defined as periods where the TOU price is greater than or equal to a second threshold but less than the first threshold; and low-price hours are defined as periods where the TOU price is less than the second threshold. The first threshold is greater than the second threshold. For details, see [link to documentation]. Figure 1 As shown, the first threshold can be 0.9, the second threshold can be 0.8, then the period when the electricity price is greater than 0.9 is the peak period, the period when the electricity price is greater than 0.8 but less than 0.9 is the high period, and the rest of the period is the low electricity price period.

[0087] Then, based on peak and mid-peak periods, excess supply periods are determined; these excess supply periods include one of the following: a first preset low-price period before the peak period, a second preset low-price period before the peak period, a first preset low-price period before the peak period and a first preset low-price period before the mid-peak period, a second preset low-price period before the peak period and a second preset low-price period before the mid-peak period. Specifically, the first preset low-price period can be 1 hour, and the second preset low-price period can be 2 hours, see [link to relevant documentation]. Figure 1 As shown, the hour before the peak period (i.e., 6 PM) can be designated as the oversupply period, or the two hours before the peak period (i.e., 5 PM to 6 PM) can be designated as the oversupply period; see [link to relevant documentation]. Figure 2 As shown, the hour before the peak period (i.e., 6 pm) and the hour before the peak period (i.e., 8 am) are defined as oversupply periods, or the two hours before the peak period (i.e., 5 pm to 6 pm) and the two hours before the peak period (i.e., 7 am to 8 am) are defined as oversupply periods.

[0088] Finally, the oversupply operation mode is determined based on the oversupply period; the oversupply operation mode is that the medium-deep ground source heat pump system operates according to the corresponding oversupply conditions during the oversupply period, and operates according to the baseline conditions during other periods; each oversupply operation mode corresponds to one oversupply period.

[0089] Specifically, the medium-deep ground source heat pump system can be operated under the following four operating modes: First, exceeding the supply limit for one hour before peak hours and one hour before peak hours, with the system operating at baseline for the remaining time. Second, exceeding the supply limit for two hours before peak hours and two hours before peak hours, with the system operating at baseline for the remaining time. Third, exceeding the supply limit for one hour before peak hours, with the system operating at baseline for the remaining time. Fourth, exceeding the supply limit for two hours before peak hours, with the system operating at baseline for the remaining time.

[0090] Step S702: Obtain the operating parameters of the medium-deep ground source heat pump system under the current benchmark operating conditions, and monitor the heating demand level of the heating building in real time.

[0091] In one implementation, the reference operating conditions of the medium-deep ground source heat pump system include: reference inlet water temperatures of 20°C (reference condition one), 15°C (reference condition two), 12°C (reference condition three), and 8°C (reference condition four). The current reference operating condition can be determined based on the current operating parameters of the medium-deep ground source heat pump system. Simultaneously, during system operation, the heating demand level of the building being heated is monitored in real time.

[0092] Step S703: Based on the pre-constructed over-supply performance model of the medium-deep ground source heat pump system and the operating parameters under the current benchmark conditions, calculate the cumulative heat extraction ratio during the over-supply period under different over-supply operation modes.

[0093] In one implementation, the operating parameters under the current benchmark operating conditions and the oversupply duration corresponding to different oversupply operation modes are input into the oversupply performance model of medium-deep buried pipes (Table 6) to obtain the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes.

[0094] Step S704: Based on the cumulative heat extraction increase ratio and building heating demand level during the oversupply period under different oversupply operation modes, determine the target oversupply operation mode for the medium-deep ground source heat pump system.

[0095] In one implementation, the cumulative heat extraction increase ratio during the over-supply period under different over-supply operation modes is adjusted based on the building's heating demand level. For example, if the heating demand is high during peak hours (e.g., peak heat extraction demand exceeds 150% of the baseline condition), a mode of over-supplying for 1 hour or 2 hours before both peak and early peak hours is selected. If the demand is high only during peak hours and stable during other times, a mode of over-supplying for 1 hour or 2 hours before the peak hour is selected. After the over-supply period ends, the system automatically switches back to the baseline operation.

[0096] The dynamic oversupply control method for the medium-deep ground source heat pump system provided in this embodiment of the invention can determine different oversupply operation modes by combining time-of-use electricity price characteristics, and calculate the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes using the oversupply performance model of the medium-deep buried pipe. Finally, the oversupply control of the medium-deep ground source heat pump system is carried out by combining the cumulative heat extraction increase ratio during the oversupply period and the building heating demand level. The oversupply performance model of the medium-deep buried pipe can clearly define the oversupply capacity law of the medium-deep ground source heat pump system under different oversupply durations, different baseline operating conditions, and oversupply operating conditions, thereby achieving precise control of the oversupply process, improving energy utilization efficiency, and reducing system operating costs.

[0097] In one implementation, for the aforementioned step S702, i.e., when monitoring the heating demand level of a heated building in real time, the following methods may be adopted, including but not limited to: collecting heat load data of the heated building and determining the heating demand level corresponding to peak hours and high hours based on the heat load data; wherein, if the heat load data of peak hours or high hours exceeds a first preset value, the heating demand level corresponding to peak hours or high hours is determined to be high heating demand.

[0098] In practical implementation, heat load is the amount of heat provided by the heating system to a building or equipment per unit time. Its magnitude is usually related to the building's heat loss, heat gain, and indoor-outdoor temperature difference. Real-time monitoring of building surface temperature can be achieved using intelligent monitoring devices (such as thermal imagers and intelligent control valves), combined with a data acquisition system to record temperature changes and identify heat load fluctuations. Furthermore, based on the heat load data, the corresponding heating demand levels for peak and low-temperature periods are determined. If the heat load data for peak or low-temperature periods exceeds a first preset value, the corresponding heating demand level for those periods is determined to be high heating demand.

[0099] In one implementation, for the aforementioned step S704, i.e., when determining the target over-supply operation mode of the medium-deep ground source heat pump system based on the cumulative heat extraction increase ratio during the over-supply period and the building heating demand level under different over-supply operation modes, the following methods may be adopted, including but not limited to:

[0100] If both peak and high-peak periods correspond to high heating demand levels, then the first over-supply operation mode corresponding to the first preset low-electricity-price period before the peak period and the first preset low-electricity-price period before the peak period, and the second over-supply operation mode corresponding to the second preset low-electricity-price period before the peak period and the second preset low-electricity-price period before the peak period are determined as candidate over-supply operation modes. Based on the cumulative heat extraction increase ratio of the over-supply periods corresponding to the first and second over-supply operation modes, the target over-supply operation mode of the medium-deep ground source heat pump system is determined.

[0101] In practice, if the heating demand level corresponding to both peak and mid-peak periods is high heating demand, then the first over-supply operation mode (over-supply for 1 hour before both peak and mid-peak periods) and the second over-supply operation mode (over-supply for 2 hours before both peak and mid-peak periods) are selected as candidate over-supply operation modes. Then, based on the increase ratio of cumulative heat extraction during the over-supply period corresponding to the first and second over-supply operation modes, the one with the higher increase ratio of cumulative heat extraction during the over-supply period is selected as the final target over-supply operation mode.

[0102] If the heating demand level corresponding to the peak period is high heating demand, then the third over-supply operation mode corresponding to the first preset low electricity price period before the peak period and the fourth over-supply operation mode corresponding to the second preset low electricity price period before the peak period are determined as candidate over-supply operation modes. Based on the cumulative heat extraction increase ratio of the over-supply period corresponding to the third and fourth over-supply operation modes, the target over-supply operation mode of the medium-deep ground source heat pump system is determined.

[0103] In practice, if the heating demand level during peak hours is high, the third over-supply operation mode (over-supply for 1 hour before peak) and the fourth over-supply operation mode (over-supply for 2 hours before peak) are selected as candidate over-supply operation modes. Then, based on the increase in the cumulative heat extraction during the over-supply period corresponding to the third and fourth over-supply operation modes, the one with the higher increase in the cumulative heat extraction during the over-supply period is selected as the final target over-supply operation mode.

[0104] It should be noted that under the same baseline operating condition, a longer over-supply duration is not necessarily better. For example, in baseline operating condition one (20℃), the cumulative heat extraction increase rate of 1 hour of over-supply before the peak (114.3%) is higher than that of 2 hours of over-supply before the peak (106.8%), indicating that short-term over-supply is more energy efficient, and 1 hour of over-supply before the peak can be prioritized. The higher the inlet water temperature of the baseline operating condition (e.g., 20℃), the more significant the heat extraction increase effect of over-supply (e.g., 114.3% in baseline operating condition one at 20℃ vs. 18.7% in baseline operating condition four at 8℃). Therefore, systems with high baseline temperatures can appropriately extend the over-supply duration, while systems with low baseline temperatures need to control the over-supply duration to avoid energy efficiency loss.

[0105] During peak grid load periods (high electricity price periods), the system reduces heat extraction and relies on stored heat during off-peak periods to meet demand; during off-peak periods (low electricity price periods), it increases off-peak heat extraction to balance grid load. For example, when grid load is tight during peak periods, sufficient heat can be stored 2 hours in advance to reduce power consumption during peak periods and respond to grid peak shaving needs.

[0106] When the building's heat load suddenly increases (such as during extreme cold weather), an automatic 2-hour over-supply strategy is triggered before both peak and pre-peak hours, ensuring heating supply through higher peak heat extraction (an increase of 53.0%). When the heat load is stable, the strategy switches to 1 hour over-supply before peak hours to optimize energy efficiency at the lowest cost.

[0107] Regularly adjust the parameters in the oversupply performance law formula based on system operation data (such as inlet and outlet temperatures and heat extraction) to improve the accuracy of the quantitative model. Combine geothermal resource monitoring data (such as changes in underground rock and soil temperature) to dynamically adjust the upper limit of oversupply duration and ensure the sustainable utilization of geothermal resources.

[0108] By using the above methods, the optimal balance between energy efficiency, cost, and sustainability of medium-deep ground source heat pump systems can be achieved, giving full play to the clean energy supply advantages of renewable energy.

[0109] For ease of understanding, this invention also provides a flowchart of a dynamic oversupply control method, see below. Figure 8 As shown, it mainly includes:

[0110] Step 1: Determine the time-of-use pricing periods. Identify the high-price and low-price periods, and designate the low-price period preceding the high-price period as the oversupply period.

[0111] Step 2: Set the baseline operating conditions. Set the baseline water accumulation temperature for the underground pipe in the middle layer, and operate according to the baseline operating conditions during non-oversupply periods.

[0112] Step 3: Set up over-supply mode. During the over-supply period, adjust the inlet water temperature of the medium-deep buried pipe to the maximum heat extraction temperature and set different over-supply durations.

[0113] Step 4: Dynamic simulation calculation. Dynamic simulation is used to calculate the hourly heat extraction, inlet and outlet temperatures, and other operating parameters of medium-deep buried pipes under different oversupply conditions.

[0114] Step 5: Analyze the oversupply capacity and dynamic response characteristics. Compare parameters such as the shortage and peak heat extraction under the oversupply condition with the baseline condition, calculate the cumulative heat extraction increase ratio during the oversupply period, and analyze the relationship between oversupply capacity, oversupply duration, baseline condition, and oversupply condition.

[0115] Step 6: Develop optimized control strategies. Based on the analysis results, determine the optimal oversupply duration and operating parameters under different time-of-use pricing scenarios to achieve dynamic oversupply adjustment of the system.

[0116] In one implementation, based on simulation results, in the system corresponding to the baseline operating condition, when the heating demand is high during peak periods, an over-supply strategy of 1 hour or 2 hours before both peak and high-peak periods can be selected to meet the heating demand and improve energy utilization efficiency.

[0117] Specifically, the heat load fluctuation pattern during peak hours is analyzed by combining factors such as building type (e.g., residential, commercial buildings), outdoor temperature, and usage scenarios. If the heat load during peak hours is consistently high (e.g., heating demand during extreme low temperatures in winter) and exceeds the baseline design load, it is considered that the demand is high; if the heat load is within the baseline load range or fluctuates little, it is considered that the demand is low.

[0118] The oversupply strategy options include: oversupplying for 1 hour before both peak and early peak hours: suitable for scenarios where heating demand is high but not extreme during peak hours. This strategy meets demand while achieving a slightly higher cumulative heat extraction rate (108.1%) than an average oversupply of 2 hours, and a 5.9% increase in cumulative heat extraction over 24 hours, resulting in better energy utilization efficiency.

[0119] 2-hour over-supply before peak and mid-peak hours: Suitable for scenarios with extremely high heating demand during peak hours. Although the cumulative heat extraction increase rate (100.2%) is slightly lower than the 1-hour over-supply, the peak heat extraction increase is higher (53.0%), which can ensure heating stability under extreme demand. The total cumulative heat extraction for the whole day is increased by 11.7%, and the overall energy supply capacity is stronger.

[0120] The dynamic oversupply control method for the medium-deep ground source heat pump system provided in this embodiment of the invention has the following beneficial technical effects and advantages:

[0121] (1) Significantly improved energy utilization efficiency: By oversupplying thermal energy during periods of low electricity price and reducing energy supply during periods of high electricity price, the difference in time-of-use electricity prices is fully utilized, reducing the operating cost of the system and improving energy utilization efficiency. For example, under the baseline condition 1 (inlet water temperature 20℃), oversupplying for 1 hour before the peak can increase the cumulative heat extraction ratio by 114.3%, which greatly improves the energy utilization rate.

[0122] (2) Accurately meet heating demand: By setting different oversupply durations and operating conditions, the system's heating capacity can be accurately adjusted according to the dynamic fluctuation characteristics of the building's heat load, ensuring that heating demand can be met during peak and high-price periods, and avoiding insufficient heating.

[0123] (3) Ensure stable and sustainable operation of the system: Through dynamic simulation and quantitative analysis, the relationship between oversupply capacity and oversupply duration, baseline operating conditions and oversupply conditions was clarified, avoiding excessive oversupply from consuming geothermal resources and ensuring the stable and sustainable operation of the medium-deep ground source heat pump system.

[0124] (4) Enhance the ability to respond to grid demand: This regulation method enables the medium-deep ground source heat pump system to better respond to the grid's peak shaving and valley filling demand. By increasing heat extraction during periods of low electricity price and reducing heat extraction during periods of high electricity price, the grid load is balanced and the consumption of clean energy is promoted.

[0125] (5) Provide scientific operation guidance: Establish a quantitative relationship formula between the cumulative heat extraction increase ratio during the oversupply period and the oversupply duration, baseline operating condition, and oversupply operating condition (e.g., n=0.014t). 12 2 -0.117t 12 (e.g., +1.246) provides a scientific basis for the optimized design and operation management of the system, facilitating operation and control in practical applications.

[0126] In addition to the dynamic oversupply control method for medium-deep ground source heat pump systems provided in the foregoing embodiments, this invention also provides a dynamic oversupply control device for medium-deep ground source heat pump systems. (See [link to previous document]). Figure 9 The schematic diagram shown illustrates the structure of a dynamic oversupply control device for a medium-deep ground source heat pump system, showing that the device mainly includes the following parts:

[0127] The operation mode determination module 901 is used to obtain the time-of-use electricity price of the target area and determine the oversupply operation mode of the medium-deep ground source heat pump system based on the time-of-use electricity price.

[0128] The heating demand monitoring module 902 is used to obtain the operating parameters of the medium-deep ground source heat pump system under the current benchmark operating conditions, and to monitor the heating demand level of the building in real time.

[0129] The heat extraction increase ratio calculation module 903 is used to calculate the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes based on the pre-built oversupply performance model of the medium-deep ground source heat pump system and the operating parameters under the current benchmark conditions.

[0130] The oversupply control module 904 is used to determine the target oversupply operation mode of the medium-deep ground source heat pump system based on the cumulative heat extraction increase ratio and building heating demand level during the oversupply period under different oversupply operation modes.

[0131] The dynamic oversupply control device for the medium-deep ground source heat pump system provided in this embodiment of the invention can determine different oversupply operation modes by combining time-of-use electricity price characteristics, and calculate the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes using the oversupply performance model of the medium-deep buried pipe. Finally, it combines the cumulative heat extraction increase ratio during the oversupply period and the building heating demand level to carry out oversupply control of the medium-deep ground source heat pump system. The oversupply performance model of the medium-deep buried pipe can clearly define the oversupply capacity law of the medium-deep ground source heat pump system under different oversupply durations, different baseline operating conditions, and oversupply operating conditions, thereby achieving precise control of the oversupply process, improving energy utilization efficiency, and reducing system operating costs.

[0132] It should be noted that the device provided in this embodiment of the invention has the same implementation principle and technical effects as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned method embodiment. The specific numerical values ​​provided in this embodiment are merely exemplary and are not intended to limit the scope of the invention.

[0133] This invention also provides an electronic device, specifically, the electronic device includes a processor and a storage device; the storage device stores a computer program, and the computer program, when run by the processor, executes the method described in any of the above embodiments.

[0134] Figure 10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. The electronic device 100 includes: a processor 10, a memory 11, a bus 12 and a communication interface 13. The processor 10, the communication interface 13 and the memory 11 are connected through the bus 12. The processor 10 is used to execute executable modules, such as computer programs, stored in the memory 11.

[0135] The memory 11 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 13 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc.

[0136] Bus 12 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 10 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0137] The memory 11 is used to store programs. After receiving an execution instruction, the processor 10 executes the programs. The method executed by the device for defining the flow process disclosed in any of the foregoing embodiments of the present invention can be applied to the processor 10 or implemented by the processor 10.

[0138] Processor 10 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 10 or by instructions in software form. Processor 10 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory 11. The processor 10 reads the information in memory 11 and, in conjunction with its hardware, completes the steps of the above method.

[0139] The computer program product of the readable storage medium provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the foregoing method embodiments. For specific implementation, please refer to the foregoing method embodiments, which will not be repeated here.

[0140] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several 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 methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0141] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A dynamic oversupply control method for a medium-deep ground source heat pump system, characterized in that, include: Obtain the time-of-use electricity price for the target area, and determine the oversupply operation mode of the medium-deep ground source heat pump system based on the time-of-use electricity price; Obtain the operating parameters of the medium-deep ground source heat pump system under the current benchmark operating conditions, and monitor the heating demand level of the heating building in real time; Based on the pre-constructed over-supply performance model of the medium-deep ground source heat pump system and the operating parameters under the current benchmark conditions, the cumulative heat extraction ratio during the over-supply period is calculated under different over-supply operation modes. Based on the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes and the building heating demand level, the target oversupply operation mode of the medium-deep ground source heat pump system is determined. Determining the oversupply operation mode of the medium-deep ground source heat pump system based on the time-of-use electricity price includes: determining peak periods, high-peak periods, and low-price periods based on the time-of-use electricity price; wherein, the period when the time-of-use electricity price is greater than or equal to a first threshold is a peak period, the period when the time-of-use electricity price is greater than or equal to a second threshold and less than the first threshold is a high-peak period, the period when the time-of-use electricity price is less than the second threshold is a low-price period, and the first threshold is greater than the second threshold; Based on the peak period and the high period, an oversupply period is determined; wherein, the oversupply period includes one of the following: a first preset low electricity price period before the peak period, a second preset low electricity price period before the peak period, the first preset low electricity price period before the peak period and the first preset low electricity price period before the high period, the second preset low electricity price period before the peak period and the second preset low electricity price period before the high period; The oversupply operation mode is determined based on the oversupply period; wherein, the oversupply operation mode is that the medium-deep ground source heat pump system operates according to the corresponding oversupply condition during the oversupply period, and operates according to the baseline condition during other periods; each oversupply operation mode corresponds to one oversupply period.

2. The method according to claim 1, characterized in that, Real-time monitoring of the heating demand level of buildings under heating, including: Heat load data of the heated building is collected, and the heating demand level corresponding to the peak period and the high period is determined based on the heat load data; wherein, if the heat load data of the peak period or the high period exceeds a first preset value, the heating demand level corresponding to the peak period or the high period is determined to be high heating demand.

3. The method according to claim 2, characterized in that, Based on the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes and the building heating demand level, the target oversupply operation mode of the medium-deep ground source heat pump system is determined, including: If the heating demand level corresponding to both the peak period and the high-peak period is high heating demand, then the first over-supply operation mode corresponding to the first preset low electricity price period before the peak period and the first preset low electricity price period before the high-peak period, and the second over-supply operation mode corresponding to the second preset low electricity price period before the peak period and the second preset low electricity price period before the high-peak period are determined as candidate over-supply operation modes. Based on the cumulative heat extraction increase ratio of the over-supply period corresponding to the first over-supply operation mode and the second over-supply operation mode, the target over-supply operation mode of the medium-deep ground source heat pump system is determined. If the heating demand levels corresponding to the peak periods are all high heating demand, then the third over-supply operation mode corresponding to the first preset low electricity price period before the peak period and the fourth over-supply operation mode corresponding to the second preset low electricity price period before the peak period are determined as candidate over-supply operation modes. Based on the cumulative heat extraction increase ratio of the over-supply periods corresponding to the third and fourth over-supply operation modes, the target over-supply operation mode of the medium-deep ground source heat pump system is determined.

4. The method according to claim 1, characterized in that, After determining the oversupply operation mode of the medium-deep ground source heat pump system based on the time-of-use electricity price, the following is also included: Determine various different baseline operating conditions of the medium-deep ground source heat pump system and the oversupply operating conditions corresponding to the oversupply operation mode; By simulating the oversupply operation mode and various different benchmark operating conditions of the medium-deep ground source heat pump system, an oversupply performance model of the medium-deep buried pipe of the medium-deep ground source heat pump system is constructed; wherein, the oversupply performance model of the medium-deep buried pipe is used to characterize the relationship between the oversupply performance of the medium-deep buried pipe and the benchmark operating conditions and the oversupply operating conditions of the oversupply operation mode.

5. The method according to claim 4, characterized in that, By simulating the oversupply operation mode and various benchmark operating conditions of the medium-deep ground source heat pump system, an oversupply performance model of the medium-deep buried pipe of the system is constructed, including: Based on the oversupply conditions and the oversupply operation modes corresponding to the oversupply conditions, the operating parameters of the medium-deep ground source heat pump system under different oversupply operation modes and the operating parameters of the medium-deep ground source heat pump system under different benchmark conditions are calculated through dynamic simulation. The operating parameters include at least the heat output, inlet temperature and outlet temperature. The operating parameters of the medium-deep buried pipe under different oversupply operation modes and the operating parameters of the medium-deep buried pipe under different benchmark conditions are compared, and the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes is calculated. Data trend analysis and regression fitting were performed on the cumulative heat extraction ratio during the over-supply period under different benchmark operating conditions and different over-supply operation modes to obtain the over-supply performance model of the medium-deep buried pipe.

6. The method according to claim 4, characterized in that, The oversupply performance model for medium-deep buried pipes is as follows: in, n Increase the proportion of cumulative heat taken during periods of oversupply; For over-supply time; This represents the baseline operating condition for the medium-deep ground source heat pump system. This refers to the oversupply condition of the aforementioned medium-deep ground source heat pump system.

7. A dynamic oversupply control device for a medium-deep ground source heat pump system, characterized in that, include: The operation mode determination module is used to obtain the time-of-use electricity price of the target area and determine the oversupply operation mode of the medium-deep ground source heat pump system based on the time-of-use electricity price. The heating demand monitoring module is used to obtain the operating parameters of the medium-deep ground source heat pump system under the current benchmark operating conditions, and to monitor the heating demand level of the heating building in real time. The heat extraction increase ratio calculation module is used to calculate the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes based on the pre-constructed oversupply performance model of the medium-deep ground source heat pump system and the operating parameters under the current benchmark operating conditions. The oversupply control module is used to determine the target oversupply operation mode of the medium-deep ground source heat pump system based on the cumulative heat extraction increase ratio during the oversupply period under different oversupply operation modes and the building heating demand level. The operation mode determination module is specifically used to: determine peak periods, high periods, and low-price periods based on the time-of-use electricity price; wherein, the period when the time-of-use electricity price is greater than or equal to a first threshold is a peak period, the period when the time-of-use electricity price is greater than or equal to a second threshold and less than the first threshold is a high period, the period when the time-of-use electricity price is less than the second threshold is a low-price period, and the first threshold is greater than the second threshold; Based on the peak period and the high period, an oversupply period is determined; wherein, the oversupply period includes one of the following: a first preset low electricity price period before the peak period, a second preset low electricity price period before the peak period, the first preset low electricity price period before the peak period and the first preset low electricity price period before the high period, the second preset low electricity price period before the peak period and the second preset low electricity price period before the high period; The oversupply operation mode is determined based on the oversupply period; wherein, the oversupply operation mode is that the medium-deep ground source heat pump system operates according to the corresponding oversupply condition during the oversupply period, and operates according to the baseline condition during other periods; each oversupply operation mode corresponds to one oversupply period.

8. An electronic device, characterized in that, The method includes a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program thereon, characterized in that, The computer program is executed by the processor to perform the steps of the method described in any one of claims 1 to 6.

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