Ground-source heat pump-based cooling and heating energy station and control method

Abstract

This invention discloses a ground-source heat pump-based cooling and heating energy station and its control method, belonging to the field of smart energy station technology. It includes acquiring the operating time period and corresponding outdoor air temperature and humidity; inputting the operating time period and corresponding outdoor air temperature and humidity into a preset cooling and heating energy station operating model for processing; optimizing for minimum operating cost; iteratively calculating the preset cooling and heating energy station operating model based on the operating time period and corresponding outdoor air temperature and humidity to obtain the optimal average energy release load of the energy storage module and the optimal cooling and heating switching threshold, thereby adjusting the operating mode of the cooling and heating energy station. This can improve the efficiency of the cooling and heating energy station and reduce costs; it solves the problem in existing technologies where "the impact of outdoor air temperature on the efficiency of the cooling and heating energy station is not considered, resulting in low system efficiency."

Description

Technical Field

[0001] This invention relates to the field of smart energy station technology, and in particular to a ground source heat pump-based heating and cooling energy station and its control method. Background Technology

[0002] The statements in this section merely refer to the background art related to this invention and do not necessarily constitute prior art.

[0003] Production parks, such as process plants, require both heating and cooling simultaneously. The energy supply solutions include: Solution 1: A combination of ground source heat pumps, water-cooled units, and air source heat pumps provides energy. In summer and transitional seasons, the ground source heat pump and water-cooled unit provide cooling, while the air source heat pump provides heating. In winter, the ground source heat pump provides heating, and the air source heat pump provides cooling. Solution 2: A gas boiler combined with a water-cooled unit or air source heat pump provides heating, while the water-cooled unit or air source heat pump provides cooling. Solution 3: An air source heat pump combined with a water-cooled unit provides heating, while the water-cooled unit provides cooling.

[0004] Among these solutions, the use of gas-fired boilers and air-source heat pumps is relatively inefficient, while the use of ground-source heat pump systems does not fully utilize the technical advantages of heat pumps and results in energy waste, which urgently needs to be addressed.

[0005] Ground source heat pump units typically include heating and cooling modes. In heating mode, driven by electricity, heat is extracted from the cold water loop and transferred to the hot water loop. A valve switches the connection: the hot water loop connects to the energy consumer, and the cold water loop connects to the underground pipes, thus utilizing the heat from the hot water loop. In cooling mode, driven by electricity, heat is extracted from the cold water loop and transferred to the hot water loop. A valve switches the connection: the cold water loop connects to the energy consumer, and the hot water loop connects to the underground pipes, thus utilizing the cooling capacity of the cold water loop. Therefore, ground source heat pumps usually only utilize one type of energy (heat or cooling), resulting in waste of the other. Thus, it is necessary to rationally address the issue of simultaneously utilizing both heating and cooling. Furthermore, ground source heat pump-based heating and cooling energy stations also have the following problems:

[0006] (1) When the heat pump unit is cooling, the higher the cooling water temperature, the lower the efficiency of the heat pump unit, and the lower the cooling water temperature, the higher the efficiency of the heat pump unit. However, in the composite system, the favorable conditions are often not taken advantage of to reduce the cooling water temperature, resulting in lower system efficiency.

[0007] (2) The common chiller (ground source heat pump unit) + energy storage module composite system stores energy during off-peak hours and releases energy during peak and flat periods. It mainly considers the time factor and does not consider the outdoor atmospheric temperature factor. Therefore, when the outdoor atmospheric temperature is relatively low, the energy is released, and when the outdoor atmospheric temperature is high, the energy has been completely released. This means that the ground source heat pump unit will consume more electricity to produce the same amount of cooling through the cooling tower. At the same time, it does not fully combine the advantages of ground source heat pump + energy storage module.

[0008] (3) Common ground source heat pump + cooling tower composite system mainly solves the problem of heat imbalance in underground rock and soil and discharges excess heat into the atmosphere. In this process, the influence of outdoor air temperature on the efficiency of the composite system is often not taken into account. Usually, the system switches when the temperature of the underground pipe circulating water is higher than a certain temperature, or the underground pipe and cooling tower are connected in parallel, resulting in low system efficiency. Summary of the Invention

[0009] To address the shortcomings of existing technologies, this invention provides a ground-source heat pump-based cooling and heating energy station, a control method, electronic equipment, and a storage medium. It considers the impact of outdoor atmospheric temperature on the operation of the cooling and heating energy station, thereby improving the operating efficiency of the station and reducing electricity costs.

[0010] In a first aspect, the present invention provides a control method for a cold and heat energy station based on a ground source heat pump;

[0011] A control method for a ground-source heat pump-based cooling and heating energy station, applied to the flat and peak periods of cooling mode, includes:

[0012] Obtain the operating time period and the corresponding outdoor atmospheric temperature and humidity;

[0013] The operating time period, corresponding outdoor air temperature, and outdoor air humidity are input into the preset cold and heat energy station operation model for processing, to obtain the optimal average energy release load of the energy storage module and the optimal cold and heat switching threshold under that time period, so as to adjust the operation mode of the cold and heat energy station.

[0014] Specifically, the process of inputting the operating time period information, the corresponding outdoor atmospheric temperature, and the outdoor atmospheric humidity into the preset cold and heat energy station operation model involves:

[0015] With the goal of minimizing operating costs, the preset operating model of the cold and heat energy station is iteratively calculated based on the operating time period and the corresponding outdoor atmospheric temperature and humidity to obtain the optimal average energy release load of the energy storage module and the optimal cold and heat switching threshold.

[0016] Furthermore, the operating model of the cold and heat energy station includes interrelated sub-models for predicting the energy release load of the energy storage module, the temperature prediction of the circulating water in the buried pipe, the temperature prediction of the circulating water in the cooling tower, the power prediction of the ground source heat pump unit, the heat discharge prediction of the buried pipe, and the energy consumption prediction of the circulating water pump.

[0017] Preferably, the sub-model for predicting the temperature of the underground pipe circulating water is as follows:

[0018] The temperature of the circulating water in the underground pipe is obtained based on the heat dissipation of the underground pipe and the temperature of the soil and rock during the operation period.

[0019] The heat dissipation of the buried pipe is obtained through the buried pipe heat dissipation prediction sub-model.

[0020] Preferably, the cooling tower circulating water temperature prediction sub-model is as follows:

[0021] The cooling water circulation temperature is obtained based on the average processing load of the ground source heat pump unit, the outdoor air temperature, and the outdoor air humidity during the operating period.

[0022] The average output load of the ground source heat pump unit is obtained through the energy storage module energy release load prediction sub-model.

[0023] Preferably, the power prediction sub-model for the ground source heat pump unit is specifically as follows:

[0024] The average power of the ground source heat pump unit during its operating period is obtained based on the cooling and heating switching threshold, the average output load of the ground source heat pump unit during its operating period, the circulating water temperature of the ground source heat pump unit, and the circulating water temperature of the cooling tower.

[0025] If the cooling tower circulating water temperature is greater than or equal to the cooling-heat switching threshold, the ground source heat pump unit is connected to the underground pipe; if the cooling tower circulating water temperature is less than the cooling-heat switching threshold, the ground source heat pump unit is connected to the cooling tower.

[0026] Preferably, the circulating water pump energy consumption prediction sub-model is as follows:

[0027] The average power of the circulating water pump during the operating period is obtained based on the additional average cooling load generated during the operating period.

[0028] Furthermore, the objective function is expressed as:

[0029]

[0030] Where c(i) is the electricity price in the i-th time period, C is the electricity charge during the flat and peak periods, N(i) is the average power of the ground source heat pump unit in the i-th time period, and Nb(i) is the average power of the circulating water pump in the i-th time period.

[0031] Secondly, the present invention provides a cold and heat energy station based on a ground source heat pump;

[0032] A ground-source heat pump-based cooling and heating energy station includes a ground-source heat pump unit, a cooling tower, a buried pipe, an energy storage module, a cooling module, a heating module, and a control module. The cooling tower, the buried pipe, and the energy storage module are all connected to the ground-source heat pump unit, and the ground-source heat pump unit is connected to the cooling module and the heating module, respectively. The control module is used to execute the above-described ground-source heat pump-based cooling and heating energy station control method.

[0033] Thirdly, the present invention provides an electronic device;

[0034] An electronic device includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor, wherein the computer instructions, when executed by the processor, complete the steps of the above-described control method for a ground-source heat pump-based heating and cooling energy station.

[0035] Fourthly, the present invention provides a computer-readable storage medium;

[0036] A computer-readable storage medium for storing computer instructions, which, when executed by a processor, complete the steps of the above-described control method for a ground-source heat pump-based cooling and heating energy station.

[0037] Compared with the prior art, the beneficial effects of the present invention are:

[0038] 1. The technical solution provided by this invention changes the design of a ground source heat pump system that only produces cold or hot water. Instead, it adopts a structure that simultaneously cools and recovers heat, and heats and recovers cold energy, thereby obtaining both cold and hot water, achieving high efficiency and saving energy.

[0039] 2. The technical solution provided by this invention improves system efficiency by reducing the operating time of the ground source heat pump unit during periods of high outdoor atmospheric temperature, thus avoiding the defect that the higher the cooling water temperature, the lower the efficiency of the heat pump unit.

[0040] 3. The technical solution provided by this invention adopts an intelligent control scheme, which combines the predicted production process load and outdoor temperature to optimize the working period of buried pipes and cooling towers, reduce the working time of ground source heat pump units under adverse conditions, improve system efficiency, and reduce energy waste.

[0041] 4. The technical solution provided by the present invention uses the energy storage of the energy storage module to reduce the working time of the ground source heat pump unit under adverse conditions, and completes the function of peak shaving and valley filling of electricity, thereby reducing operating costs. Attached Figure Description

[0042] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0043] Figure 1 This is a schematic diagram of the system architecture of a cooling and heating energy station provided in an embodiment of the present invention;

[0044] Figure 2 A schematic diagram of the heating mode of the cold and hot energy station provided in an embodiment of the present invention;

[0045] Figure 3 This is a logical schematic diagram of a ground-source heat pump-based cold and heat energy station control method provided in an embodiment of the present invention. Detailed Implementation

[0046] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0047] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments of the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. Furthermore, it should be understood that the terms “comprising” and “having”, and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0048] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0049] Example 1

[0050] Combination Figures 1-3 This invention provides a control method for a ground-source heat pump-based cooling and heating energy station. This method, applied to both peak and off-peak periods in cooling mode, includes the following steps:

[0051] S1. Obtain the operating time period, corresponding outdoor atmospheric temperature, outdoor atmospheric humidity, and relevant initial operating parameters of the cooling and heating energy station.

[0052] Based on electricity prices, a 24-hour day is divided into a cooling off-peak period and a cooling flat-peak period. The period from 23:00 to 7:00 is the off-peak period, and the period from 7:00 to 23:00 is the flat-peak period. The period from 7:00 to 23:00 is divided into n parts, where i represents the i-th time period, and the time interval between each part is t.

[0053] In this embodiment, the total energy storage capacity Qx of the energy storage modules is determined based on their capacity. The total heat Qdx discharged into the buried pipe during the cooling off-peak period is measured by instruments. The cooling and heating loads of the production process at each time period are obtained from the load prediction model in the existing technology, which is not an improvement of this embodiment and will not be elaborated here. At the same time, the additional cooling load of the production process is equal to the cooling load of the production process minus the cooling load recovered by the total heat recovery unit. The cooling load recovered by the total heat recovery unit can be obtained from the predicted heat load of the production process. The outdoor temperature and humidity are obtained from the weather forecast, and the electricity price parameters are determined according to the peak, valley, and flat periods.

[0054] S2. Input the operating time period, corresponding outdoor air temperature, and outdoor air humidity into the preset cold and heat energy station operation model for processing. Based on the relevant initial operating parameters of the cold and heat energy station, obtain the optimal average energy release load of the energy storage module and the optimal cold and heat switching threshold under this time period to adjust the cold and heat energy station.

[0055] Specifically, the process of inputting the operating time period information and the corresponding outdoor atmospheric temperature and humidity into the preset cold and heat energy station operation model involves: taking the lowest operating cost as the optimization objective, iteratively calculating the preset cold and heat energy station operation model based on the operating time period and the corresponding outdoor atmospheric temperature and humidity to obtain the optimal average energy release load of the energy storage module and the optimal cold and heat switching threshold.

[0056] Furthermore, the operating model of the cold and heat energy station includes interrelated sub-models for predicting the energy release load of the energy storage module, the temperature prediction of the circulating water in the buried pipe, the temperature prediction of the circulating water in the cooling tower, the power prediction of the ground source heat pump unit, the heat discharge prediction of the buried pipe, and the energy consumption prediction of the circulating water pump.

[0057] Specifically, (1) the objective function is to minimize operating costs, expressed as:

[0058]

[0059] Where c(i) is the electricity price in the i-th time period, C is the electricity charge during the flat and peak periods, N(i) is the average power of the ground source heat pump unit in the i-th time period, and Nb(i) is the average power of the circulating water pump in the i-th time period;

[0060] When i=(8:00-11:00 18:00-23:00), c(i)=1.5*c;

[0061] When i=(23:00-7:00), c(i)=0.5*c;

[0062] When i=(7:00-8:00 11:00-18:00), c(i)=c, c=0.63.

[0063] (2) The energy storage module energy release load prediction sub-model is expressed as follows:

[0064] P(i) = Pj(i) - Pf(i)

[0065] Where: P(i) is the average output load of the ground source heat pump unit in the i-th time period, Pj(i) is the average additional cooling load of the production process in the i-th time period, and Pf(i) is the average energy release load of the energy storage module in the i-th time period.

[0066] The constraints are expressed as follows:

[0067] P(i)≥0,

[0068]

[0069] Where Pf(i)*t represents the energy released by the energy storage module in the i-th time period.

[0070] (3) The sub-model for predicting the temperature of circulating water in underground pipes is expressed as follows:

[0071] Td(i)=f(Q(i),k,T0,t)=Td(i-1)+(Q(i)-Q(i-1)) / C+(T0-Td(i-1))*exp(-k*t)

[0072] Where Td(i) is the temperature of the circulating water in the buried pipe during the i-th time period, Q(i) is the cumulative heat discharged to the buried pipe during the i-th time period of the day, C is the specific heat capacity of the circulating water, which is a constant; T0 is the initial temperature of the soil and rock mass, which is obtained through operating parameters; k is the heat transfer coefficient of the soil and rock mass, which is obtained through design parameters; and t is the time interval.

[0073] To accurately obtain the circulating water temperature of the buried pipe, the model considers the impact of cumulative heat dissipation on the circulating water temperature, as well as the heat transfer process between the initial temperature of the soil and rock mass and the circulating water temperature.

[0074] (4) The sub-model for predicting the circulating water temperature of the cooling tower is expressed as follows:

[0075] Tl(i)=f(Ta(i), Ha(i), P(i))=β0+β1*P(i)+β2*Ta(i)+β3*Ha(i)+β4*P(i)^2+β5*Ta(i)^2+β6*Ha(i)^2

[0076] Wherein, P(i) is the average output load of the ground source heat pump unit in the i-th time period, Ha(i) is the outdoor air temperature in the i-th time period, Ha(i) is the outdoor air humidity in the i-th time period, and β0, β1, β2, β3, β4, β5, and β6 are preset coefficients, which are obtained by training the cooling tower circulating water temperature prediction sub-model using historical operating parameters of the cold and heat energy station.

[0077] (5) The power prediction sub-model for ground source heat pump units is expressed as follows:

[0078] N(i)=f(P(i),Tn(i),T-threshold)=γ0+γ1*P(i)+γ2*Tn(i)+γ3*P(i)^2+γ4*Tn(i)^2

[0079] Among them, N(i) is the average power of the ground-source heat pump unit in the i-th period, P(i) is the average output load of the ground-source heat pump unit in the i-th period, γ0, γ1, γ2, γ3, γ4 are preset coefficients, which are obtained by training the power prediction sub-model of the ground-source heat pump unit through the collected historical operation parameters; Tn(i) is the circulating water temperature of the ground-source heat pump unit in the i-th period.

[0080] If Tl(i) ≥ T-threshold, then Tn(i) = Td(i) (connecting the ground heat exchanger), Nd(i) = N(i), Pd(i) = P(i);

[0081] If Tl(i) < T-threshold, then Tn(i) = Tl(i) (connecting the cooling tower), Nd(i) = 0, Pd(i) = 0;

[0082] T-Threshold is the cooling and heating switching threshold.

[0083] (6) The heat rejection prediction sub-model of the ground heat exchanger is expressed as:

[0084]

[0085] Among them: Q(i) is the cumulative heat rejection to the ground heat exchanger in the i-th period of the day, Nd() is the average rejection power of the ground-source heat pump unit in the

[0086] i-th period of the average power that is included in the part discharged into the ground heat exchanger, Nd(i)*t is the energy of the power consumption of the ground-source heat pump unit in the i-th period that is included in the part discharged into the ground heat exchanger, Pd(i) is the rejection power of the average output load of the ground-source heat pump unit in the i-th period that is included in the part discharged into the ground heat exchanger, Pd(i)*t is the energy of the output of the ground-source heat pump unit in the i-th period that is included in the part discharged into the ground heat exchanger, and Pd(i)*t + Nd(i)*t is the sum of the energies discharged into the ground heat exchanger in the flat peak period of the i-th period.

[0087] (7) The energy consumption prediction sub-model of the circulating water pump is expressed as:

[0088] Nb(i) = f(Pj(i)) = K * Pj(i)

[0089] Among them, Nb(i) is the average power of the circulating water pump in the i-th period, Pj(i) is the additional average cooling load of the production process in the i-th period, and K is the transmission and distribution coefficient, which takes a fixed value according to the system.

[0090] Next, with the lowest operating cost as the optimization goal, according to the input operating time period, the corresponding outdoor air temperature, and the outdoor air humidity, iterative calculations are performed on the above sub-models, and the optimal average energy release load of the energy storage module and the optimal cooling and heating switching threshold are output.

[0091] Exemplarily, assume that the input operation time period is the first period of the refrigeration flat peak period. Assume that Pf(1) (the average energy release load of the energy storage module in the first period) = A1 < Pj(1) (the additional average cooling load of the production process in the first period) < Qx (the energy release load of the energy storage module), and T-threshold = B1 value. When i = 1:

[0092] (1) The average output load of the ground-source heat pump unit in the first period: P(1) = Pj(1) - Pf(1). Pj(1) is obtained by simulating the simulation model, so the value of P(1) can be obtained.

[0093] (2) The temperature of the ground buried pipe circulating water: Td(1) = f(Q(1), k, T0, t) = Td(1 - 1) + (Q(1) - Q(1 - 1)) / C + (T0 - Td(1 - 1)) * exp(-k * t) = Td(0) + Q(1)) / C

[0094] Td(0) is T0, Q(0) = 0. According to the ground buried pipe heat rejection prediction sub-model, Q(1) = Qdx, so Td(1) can be calculated.

[0095] (3) The temperature of the cooling tower circulating water: Tl(1) = f(Ta(1), Ha(1), P(1)) = β0 + β1 * P(1) + β2 * Ta(1) + β3 * Ha(1) + β4 * P(1)^2 + β5 * Ta(1)^2 + β6 * Ha(1)^2

[0096] Among them, Ta(1) and Ha(1) are obtained according to the weather forecast, and P(1) is obtained through step (1), so Tl(1) can be calculated.

[0097] (4) The power of the ground-source heat pump unit: N(1) = f(P(1), Tn(1), T-threshold);

[0098] Among them: Tl(1) < T-threshold = B1, then Tn(1) (the ground-source heat pump unit) = Tl(1) (the cooling tower) (connected to the cooling tower), Nd(1) = 0, Pd(1) = 0;

[0099] Then N(1) = γ0 + γ1 * P(1) + γ2 * Tl(1) + γ3 * P(1)^2 + γ4 * Tl(1)^2

[0100] P(1) is obtained from step (1), and Tl(1) is obtained from step (3), so N(1) can be calculated.

[0101] (5) The heat rejection of the ground buried pipe: Q(1) = Qdx + Pd(1) * t + Nd(1) * t = Qdx

[0102] According to step (4), we know that Pd(1) = 0 and Nd(1) = 0.

[0103] (6) Energy consumption of circulating water pump: Nb(1)=f(Pj(1))=K*Pj(1)

[0104] Where K takes a fixed value, Pj(1) is obtained by simulation based on the simulation model, so Nb(1) is calculated.

[0105] (7) Operating cost: C = N(1)*t*c(1) + Nb(1)*t*c(1)

[0106] N(1) is obtained from step (4), Nb(1) is obtained from step (6), and c(1) = c, so the value of C can be calculated.

[0107] Continue to calculate the values ​​of each prediction sub-model in the above manner to establish the first set of data for Pf(i) (average energy release load of the energy storage module in the (i)th period), T-threshold (threshold) and C (operating cost).

[0108] Using the same method, assuming Pf(1) = A2 < Pj(1) < Qx and T-threshold = B2 value, establish a second set of data for Pf(i), T-threshold and C.

[0109] Using the same method, we continue to assume Pf(1) = An < Pj(1) < Qx, T-threshold = Bn value, and establish the nth set of data for Pf(i), T-threshold and C.

[0110] By comparing the data from each set, the best data set for the day is found, the parameters are optimized, and the optimal average energy release load of the energy storage module and the optimal cooling and heating switching threshold are obtained.

[0111] Furthermore, based on the optimal data set, the average energy release load Pf(i) of the energy storage module and the connection threshold T-threshold parameters of the buried pipe and cooling tower are adjusted for each time period to establish operating rules, adjust the working status of the energy storage module, cooling tower and buried pipe, and compare the actual operating cost with the calculated minimum operating cost C to judge the accuracy of the operating rules in order to continuously optimize them.

[0112] Furthermore, when this ground-source heat pump-based cooling and heating energy station control method is applied to the cooling valley segment of the additional cooling mode, it includes the following steps:

[0113] The generated cooling capacity is stored in an energy storage module using the surplus capacity of the ground source heat pump unit. When the temperature of the cooling tower circulating water is lower than that of the underground pipe circulating water, the ground source heat pump unit is connected to the cooling tower; when the temperature of the cooling tower circulating water is higher than that of the underground pipe circulating water, the ground source heat pump unit is connected to the underground pipe.

[0114] Furthermore, such as Figure 3 As shown, the ground-source heat pump-based cooling and heating energy station control method, when applied to additional heating mode, includes the following steps:

[0115] When the cumulative heat load of the production process exceeds the cumulative cooling load of the day, an additional heating mode is activated. In this mode, the total heat recovery unit operates on a cooling-to-heat basis to meet the cooling load requirements of the production process and recovers all heat to meet the heat load requirements of the production process. The energy storage module activates the heat storage mode, and the ground source heat pump unit is connected to the underground pipe to discharge excess cooling into the underground pipe. The heat source for the energy storage module comes from the interconnected heat pump unit, and the interconnected heat pump unit operates to store energy during off-peak electricity periods.

[0116] Example 2

[0117] This embodiment discloses a ground source heat pump-based cooling and heating energy station. Based on the ground source heat pump-based cooling and heating energy station control method described in Embodiment 1, it includes a ground source heat pump unit, a cooling tower, a buried pipe, an energy storage module, a cooling module, a heating module, and a control module. The ground source heat pump unit module includes a total heat recovery unit and an interconnected heat pump unit.

[0118] Furthermore, the total heat recovery unit is connected to the heat-consuming module and the cooling module; the energy storage module is connected to the interconnected heat pump unit through a first pipe, which is equipped with valve f6; the energy storage module is connected to the heat-consuming module through a second pipe, which is equipped with valves f2 and f1; a third pipe connects valves f2 and f1; one branch of the third pipe connects to the interconnected heat pump unit and is equipped with valve f9, and another branch connects to the cooling module and is equipped with valve f11; the other end of the second channel is connected to a fourth pipe, which is connected to the first pipe and is equipped with valve f7. The cooling tower is connected to a fifth pipe, which connects to a branch of the third pipe and is equipped with valves f4 and f8. A sixth pipe connects to the underground pipe, which connects to the fifth pipe at a point between valves f4 and f8. A valve f3 is installed on the sixth pipe. A seventh pipe connects the first and fifth pipes, and is equipped with valve f5. The connection between the seventh and fifth pipes is located between valves f4 and f8. The connection between the seventh and the first pipe is located between valve f6 and the fourth pipe. An eighth pipe connects a branch of the third pipe to the cooling module, and is equipped with valve f10.

[0119] Heat meters are installed in the second or third pipe. The flow rate of circulating water in the pipe is usually controlled to achieve the goal of making the heat load or cold load reading of the heat meter close to the optimized value, thus completing the control of the average energy release load of the energy storage module.

[0120] Hot water circulating pumps are installed at the hot end outlets of the total heat recovery unit and the interconnected heat pump unit, respectively; cold water circulating pumps are installed at the cold end outlets of the total heat recovery unit and the interconnected heat pump unit, respectively; and a heat release circulating pump is installed on the second pipeline between the energy storage module and valve f2.

[0121] The relationship between valve status and operating mode is shown in the table below:

[0122]

[0123] Note: Valves not marked should be opened or closed as needed.

[0124] Example 3

[0125] Embodiment 3 of the present invention provides an electronic device, including a memory and a processor, as well as computer instructions stored in the memory and running on the processor. When the computer instructions are executed by the processor, they complete the steps of the above-described control method for a ground-source heat pump-based cold and heat energy station.

[0126] Example 4

[0127] Embodiment 4 of the present invention provides a computer-readable storage medium for storing computer instructions, which, when executed by a processor, complete the steps of the above-described control method for a ground-source heat pump-based cold and heat energy station.

[0128] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0129] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0130] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment, whereby a series of operational steps are performed to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0131] The descriptions of each embodiment in the above embodiments have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0132] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A control method for a cold and heat energy station based on a ground source heat pump, characterized by, include: Obtain the operating time period and the corresponding outdoor atmospheric temperature and humidity; The operating time period, corresponding outdoor air temperature, and outdoor air humidity are input into the preset cold and heat energy station operation model for processing, to obtain the optimal average energy release load of the energy storage module and the optimal cold and heat switching threshold under that time period, so as to adjust the operation mode of the cold and heat energy station. Based on electricity prices, a 24-hour day is divided into a cooling off-peak period and a cooling flat-peak period. The period from 23:00 to 7:00 is the off-peak period, and the period from 7:00 to 23:00 is the flat-peak period. The period from 7:00 to 23:00 is divided into n parts, where i represents the i-th time period, and the time interval between each part is t. Among them, the total energy storage capacity Qx of the energy storage module is determined according to the capacity of the energy storage module, and the total heat Qdx discharged into the buried pipe during the cooling valley stage is measured by the instrument; Specifically, the process of inputting the operating time period information, the corresponding outdoor atmospheric temperature, and the outdoor atmospheric humidity into the preset cold and heat energy station operation model involves: With the goal of minimizing operating costs, the preset operating model of the cold and heat energy station is iteratively calculated based on the operating time period and the corresponding outdoor atmospheric temperature and humidity to obtain the optimal average energy release load of the energy storage module and the optimal cold and heat switching threshold. The operating model of the cold and hot energy station includes an interrelated sub-model for predicting the energy release load of the energy storage module, a sub-model for predicting the temperature of the underground pipe circulating water, a sub-model for predicting the temperature of the cooling tower circulating water, a sub-model for predicting the power of the ground source heat pump unit, a sub-model for predicting the heat discharge of the underground pipe, and a sub-model for predicting the energy consumption of the circulating water pump. Specifically, the objective function, with the goal of minimizing operating costs, is expressed as: Where c(i) is the electricity price in the i-th time period, C is the electricity charge during the flat and peak periods, N(i) is the average power of the ground source heat pump unit in the i-th time period, and Nb(i) is the average power of the circulating water pump in the i-th time period; When i=(8:00-11:00, 18:00-23:00), c(i)=1.5*c; When i=(23:00-7:00), c(i)=0.5*c; When i=(7:00-8:00, 11:00-18:00), c(i)=c, c=0.63; The energy storage module energy release load prediction sub-model is expressed as follows: P(i) = Pj(i) - Pf(i); Where: P(i) is the average output load of the ground source heat pump unit in the i-th time period, Pj(i) is the average additional cooling load of the production process in the i-th time period, and Pf(i) is the average energy release load of the energy storage module in the i-th time period; The constraints are expressed as follows: P(i)≥0, ； Where Pf(i)*t is the energy released by the energy storage module in the i-th time period; The sub-model for predicting the temperature of circulating water in underground pipes is represented as follows: Td(i)=f(Q(i),k,T0,t)= Td(i-1) + (Q(i) - Q(i-1)) / C1+ (T0 - Td(i-1)) * exp(-k * t) ; Among them, Td(i) is the temperature of the ground-coupled heat exchanger circulating water in the i-th period, Q(i) is the cumulative heat rejection to the ground-coupled heat exchanger in the i-th period of the day, C1 is the specific heat capacity of the circulating water, which is a constant; T0 is the initial temperature of the rock and soil mass, obtained through operating parameters; k is the heat transfer coefficient of the rock and soil mass, obtained through design parameters; t is the time interval; The prediction sub-model of the cooling tower circulating water temperature is expressed as: Tl(i) = f(Ta(i), Ha(i), P(i)) = β0 + β1 * P(i) + β2 * Ta(i) + β3 * Ha(i) + β4 * P(i)^2 + β5 * Ta(i)^2 + β6 * Ha(i)^2; Among them, P(i) is the average output load of the ground-source heat pump unit in the i-th period, Ta(i) is the outdoor atmospheric temperature in the i-th period, Ha(i) is the outdoor atmospheric humidity in the i-th period, and β0, β1, β2, β3, β4, β5, β6 are preset coefficients, obtained by training the prediction sub-model of the cooling tower circulating water temperature with the historical operating parameters collected from the cold and heat energy station; The prediction sub-model of the ground-source heat pump unit power is expressed as: N(i)=f(P(i), Tn(i), T-threshold) = γ0 + γ1 * P(i) + γ2 * Tn(i) + γ3 * P(i)^2 + γ4 * Tn(i)^2; Among them, N(i) is the average power of the ground-source heat pump unit in the i-th period, P(i) is the average output load of the ground-source heat pump unit in the i-th period, and γ0, γ1, γ2, γ3, γ4 are preset coefficients, obtained by training the prediction sub-model of the ground-source heat pump unit power with the historical operating parameters collected; Tn(i) is the circulating water temperature of the ground-source heat pump unit in the i-th period; If Tl(i) ≥ T-threshold, then Tn(i) = Td(i), connect the ground-coupled heat exchanger, Nd(i) = N(i), Pd(i) = P(i); If Tl(i) < T-threshold, then Tn(i) = Tl(i), connect the cooling tower, Nd(i) = 0, Pd(i) = 0; T-Threshold is the cold and heat switching threshold; The prediction sub-model of the heat rejection of the ground-coupled heat exchanger is expressed as: Among them: Q(i) is the cumulative heat rejection to the ground-coupled heat exchanger in the i-th period of the day, Nd(i) is the average discharge power included in the average power of the ground-source heat pump unit in the i-th period that is discharged into the ground-coupled heat exchanger, Nd(i)*t is the energy of the power consumption of the ground-source heat pump unit in the i-th period included in the part discharged into the ground-coupled heat exchanger, Pd(i) is the discharge power included in the average output load of the ground-source heat pump unit in the i-th period that is discharged into the ground-coupled heat exchanger, Pd(i)*t is the energy of the output energy of the ground-source heat pump unit in the i-th period included in the part discharged into the ground-coupled heat exchanger, and Pd(i)*t + Nd(i)*t is the sum of the energies discharged into the ground-coupled heat exchanger in the i-th period during the flat and peak periods; The prediction sub-model of the energy consumption of the circulating water pump is expressed as: Nb(i)=f(Pj(i)) = K * Pj(i); Where Nb(i) is the average power of the circulating water pump in the i-th time period, Pj(i) is the additional average cooling load of the production process in the i-th time period, and K is the distribution coefficient, which is a fixed value according to the system.

2. The ground-source heat pump-based cogeneration plant control method according to claim 1, characterized by, The specific sub-model for predicting the temperature of circulating water in the buried pipe is as follows: The temperature of the circulating water in the underground pipe is obtained based on the heat dissipation of the underground pipe and the temperature of the soil and rock during the operation period. The heat dissipation of the buried pipe is obtained through the buried pipe heat dissipation prediction sub-model.

3. The ground-source heat pump-based cogeneration plant control method according to claim 1, characterized by, The specific sub-model for predicting the circulating water temperature of the cooling tower is as follows: The cooling water circulation temperature is obtained based on the average processing load of the ground source heat pump unit, the outdoor air temperature, and the outdoor air humidity during the operating period. The average output load of the ground source heat pump unit is obtained through the energy storage module energy release load prediction sub-model.

4. The ground-source heat pump-based cogeneration plant control method according to claim 1, characterized by, The specific sub-model for predicting the power of the ground source heat pump unit is as follows: The average power of the ground source heat pump unit during its operating period is obtained based on the cooling and heating switching threshold, the average output load of the ground source heat pump unit during its operating period, the circulating water temperature of the ground source heat pump unit, and the circulating water temperature of the cooling tower. If the cooling tower circulating water temperature is greater than or equal to the cooling-heat switching threshold, the ground source heat pump unit is connected to the underground pipe; if the cooling tower circulating water temperature is less than the cooling-heat switching threshold, the ground source heat pump unit is connected to the cooling tower.

5. The ground-source heat pump-based cogeneration power plant control method according to claim 1, wherein The specific sub-model for predicting the energy consumption of the circulating water pump is as follows: The average power of the circulating water pump during the operating period is obtained based on the additional average cooling load generated during the operating period.

6. A cold and heat energy plant based on a ground source heat pump, characterized by The system includes a ground source heat pump unit, a cooling tower, a buried pipe, an energy storage module, a cooling module, a heating module, and a control module. The cooling tower, the buried pipe, and the energy storage module are all connected to the ground source heat pump unit, and the ground source heat pump unit is connected to the cooling module and the heating module, respectively. The control module is used to execute the ground source heat pump-based cooling and heating energy station control method according to any one of claims 1-5.

7. An electronic device, comprising: It includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor, which, when executed by the processor, complete the steps of the ground source heat pump-based cold and heat energy station control method according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, Used to store computer instructions, which, when executed by a processor, complete the steps of the ground-source heat pump-based cold and heat energy station control method as described in any one of claims 1-5.

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