Low-carbon optimization technology application and implementation method based on user side temperature control load demand response

Abstract

The invention discloses a low-carbon optimization technology application and implementation method based on user side temperature control load demand response. The method comprises the steps that according to a central air-conditioning system mechanism model, a cold / heat load index expression of a building is constructed; calculating a cold / heat load index value of the building according to the parameter data of the building and the cold / heat load index expression; according to the cold / heat load index value, the cooling capacity of the building towards the outdoor environment temperature is calculated; according to a pre-constructed target function, constraint conditions and the cooling capacity, multiple operation modes of the central air conditioning system are determined; and the operation power under each operation mode is calculated, and the operation mode with the minimum operation power is selected as the optimal operation strategy of the central air conditioning system.

Description

Technical Field

[0001] This invention relates to the field of energy-saving and carbon-reduction technology for central air conditioning systems, and more specifically, to an application and implementation method of low-carbon optimization technology based on user-side temperature control load demand response. Background Technology

[0002] The widespread use of air conditioning, especially central air conditioning systems, has significantly increased building energy consumption. Statistics show that in residential buildings, central air conditioning systems typically account for 40-60% of total energy consumption. Within these systems, the equipment in the computer room accounts for approximately 70% of the overall system energy consumption. Therefore, energy conservation in central air conditioning systems hinges on the computer room portion.

[0003] Traditional methods for developing energy-saving and carbon-reduction strategies for central air conditioning equipment rooms mainly fall into two categories. The first is replacing existing equipment, such as replacing the original air conditioning unit with a more energy-efficient magnetic levitation unit. This method is relatively simple and effective, but it involves large investments, difficult construction, low cost-effectiveness, and is even limited by the building's inherent conditions, making it impossible to implement. The second method involves fuzzy logic control through changes in equipment operating parameters, such as variable frequency drives for chilled water pumps and cooling water pumps. While these control measures do reduce the energy consumption of individual devices, they also alter some of the equipment's operating parameters. These changes often increase the burden on the entire system, leading to increased overall energy consumption and ultimately resulting in the failure of energy-saving efforts. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an application and implementation method for low-carbon optimization technology based on user-side temperature-controlled load demand response.

[0005] According to one aspect of the present invention, a method for applying and implementing low-carbon optimization technology based on user-side temperature-controlled load demand response is provided, comprising: Based on the central air conditioning system mechanism model, construct the building's cooling / heating load index expression; Calculate the building's cooling / heating load index value based on the building's parameter data and the cooling / heating load index expression; Calculate the cooling capacity of the building to the outdoor environment based on the cooling / heating load index values; Based on the pre-built objective function, constraints, and cooling capacity, various operating modes of the central air conditioning system are determined; Calculate the operating power for each operating mode and select the operating mode with the lowest operating power as the optimal operating strategy for the central air conditioning system.

[0006] Optionally, the expression for the cooling / heating load index is: In the formula, This refers to the building's cooling / heating load index; V Real-time water flow rate in the system pipeline; T 0 represents the indoor set temperature; T e represents the outdoor ambient temperature; T 1 represents the outlet water temperature of the air conditioning system; T 2 represents the return water temperature of the air conditioning system.

[0007] Optionally, the cooling capacity of the building to the outdoor ambient temperature The calculation formula is: In the formula, A This represents the area of ​​the flat wall.

[0008] Optionally, the objective function is: P min =P chiller + P c.pump + P j.pump + P c.tower In the formula, P chiller P represents the main unit power. c.pump P is the power of the chilled water pump. j.pump P represents the power of the cooling water pump. c.tower For cooling tower power; The constraints include: Constraints on the outlet and return water temperatures of the air conditioning system: 7℃≤ T 1≤12℃ 8℃≤ T 2≤15℃ In the formula, T 1 represents the water outlet temperature of the air conditioning system; T 2 represents the return water temperature of the air conditioning system; Constraints on the cooling water inlet temperature of the air conditioning system: 18℃≤ T k ≤37℃ In the formula, T k This refers to the inlet temperature of the cooling water in the air conditioning system. Constraints on the operating frequency of chilled water pumps and cooling water pumps: 30H=≤f c.pump ≤50Hz 35H=≤f j.pump ≤50Hz In the formula, f c.pump f is the frequency of the chilled water pump; j.pump This refers to the frequency of the cooling water pump. Constraints on the number of operating devices: 1≤N chiller ≤n 1≤N c.pump ≤n 1≤N j.pump ≤n In the formula, n is the actual number of equipment configured in the project; N chiller N represents the number of air conditioning units in operation. c.pump N represents the number of chilled water pumps in operation. j.pump This represents the number of cooling water pumps in operation.

[0009] Optionally, the operating power under each operating mode is calculated separately, and the operating mode with the lowest operating power is selected as the optimal operating strategy for the central air conditioning system, including: Calculate the main unit power, chilled water pump power, cooling water pump power, and cooling tower power for each operating mode; The optimal operating strategy is to select the operating mode that minimizes the sum of the main unit power, chilled water pump power, cooling water pump power, and cooling tower power.

[0010] According to another aspect of the present invention, a device for applying and implementing low-carbon optimization technology based on user-side temperature-controlled load demand response is provided, comprising: The building module is used to construct the expression for the building's cooling / heating load index based on the central air conditioning system mechanism model; The first calculation module is used to calculate the building's cooling / heating load index value based on the building's parameter data and the cooling / heating load index expression; The second calculation module is used to calculate the cooling capacity of the building to the outdoor ambient temperature based on the cooling / heating load index value; The determination module is used to determine various operating modes of the central air conditioning system based on pre-built objective functions, constraints, and cooling capacity. As a module, it is used to calculate the operating power under each operating mode and select the operating mode with the lowest operating power as the optimal operating strategy for the central air conditioning system.

[0011] According to another aspect of the present invention, a computer-readable storage medium is provided, the storage medium storing a computer program for performing the methods described in any of the above aspects of the present invention.

[0012] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: a processor; a memory for storing executable instructions of the processor; the processor being configured to read the executable instructions from the memory and execute the instructions to implement the method described in any of the preceding aspects of the present invention.

[0013] Therefore, this invention establishes a mechanistic model for predicting the cooling capacity and equipment energy consumption of central air conditioning systems. This mechanistic model is based on fundamental HVAC theory and logic, combined with practical applications, and derived through extensive project testing and data verification. It possesses unique innovation and represents a breakthrough in traditional energy-saving and carbon-reduction control methods for central air conditioning systems. It brings a completely new control method to energy-saving and carbon-reduction measures for central air conditioning systems, and even has a positive and far-reaching impact on energy saving and carbon reduction across the entire HVAC industry. Attached Figure Description

[0014] Exemplary embodiments of the present invention can be more fully understood by referring to the following figures: Figure 1 This is a flowchart illustrating the application and implementation method of low-carbon optimization technology based on user-side temperature-controlled load demand response, provided by an exemplary embodiment of the present invention. Figure 2 This is a schematic diagram of the mechanism model of a central air conditioning system provided in an exemplary embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the application of intelligent control of user-side building temperature load and energy-saving and carbon-reducing control in an exemplary embodiment of the present invention. Figure 4 This is a schematic diagram of the structure of a device for applying and implementing low-carbon optimization technology based on user-side temperature-controlled load demand response, provided in an exemplary embodiment of the present invention. Figure 5 This is the structure of an electronic device provided in an exemplary embodiment of the present invention. Detailed Implementation

[0015] Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments of the present invention. It should be understood that the present invention is not limited to the exemplary embodiments described herein.

[0016] It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of the invention.

[0017] Those skilled in the art will understand that the terms "first," "second," etc., in the embodiments of the present invention are only used to distinguish different steps, devices, or modules, and do not represent any specific technical meaning, nor do they indicate a necessary logical order between them.

[0018] It should also be understood that in the embodiments of the present invention, "multiple" can refer to two or more, and "at least one" can refer to one, two or more.

[0019] It should also be understood that any component, data or structure mentioned in the embodiments of the present invention can generally be understood as one or more unless explicitly defined or given contrary instructions in the context.

[0020] Furthermore, the term "and / or" in this invention is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this invention generally indicates that the preceding and following related objects have an "or" relationship.

[0021] It should also be understood that the description of the various embodiments in this invention emphasizes the differences between the various embodiments, and the similarities or similarities can be referred to each other. For the sake of brevity, they will not be described in detail.

[0022] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0023] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use.

[0024] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, they should be considered part of the specification.

[0025] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0026] The embodiments of this invention can be applied to electronic devices such as terminal devices, computer systems, and servers, and can operate together with a wide range of other general-purpose or special-purpose computing system environments or configurations. Well-known examples of terminal devices, computing systems, environments, and / or configurations suitable for use with electronic devices such as terminal devices, computer systems, and servers include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, handheld or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputer systems, mainframe computer systems, and distributed cloud computing environments including any of the above systems, etc.

[0027] Electronic devices such as terminal devices, computer systems, and servers can be described in the general context of computer system executable instructions (such as program modules) executed by a computer system. Typically, program modules can include routines, programs, object programs, components, logic, data structures, etc., which perform specific tasks or implement specific abstract data types. Computer systems / servers can be implemented in distributed cloud computing environments, where tasks are executed by remote processing devices linked through communication networks. In distributed cloud computing environments, program modules can reside on local or remote computing system storage media, including storage devices.

[0028] Exemplary methods Figure 1 This is a flowchart illustrating the application and implementation method of low-carbon optimization technology based on user-side temperature-controlled load demand response, provided by an exemplary embodiment of the present invention. This embodiment can be applied to electronic devices, such as… Figure 1 As shown, the application and implementation method 100 of low-carbon optimization technology based on user-side temperature-controlled load demand response includes the following steps: Step 101: Based on the central air conditioning system mechanism model, construct the building's cooling / heating load index expression; Step 102: Calculate the building's cooling / heating load index value based on the building's parameter data and the cooling / heating load index expression; Step 103: Calculate the cooling capacity of the building to the outdoor ambient temperature based on the cooling / heating load index value; Step 104: Determine multiple operating modes of the central air conditioning system based on the pre-built objective function, constraints, and cooling capacity; Step 105: Calculate the operating power for each operating mode and select the operating mode with the lowest operating power as the optimal operating strategy for the central air conditioning system.

[0029] Specifically, since many factors influence the energy consumption of building central air conditioning systems, especially under the premise of ensuring that the building's terminal units meet usage requirements, controlling and regulating the entire central air conditioning system necessitates a scientific analysis of each aspect, including the system's cooling demand, building heat transfer, chilled water supply, and cooling water supply, in order to ultimately formulate a comprehensive energy-saving operation strategy. Therefore, energy conservation in central air conditioning systems must be based on HVAC mechanism models, controlling and adjusting each aspect of the entire system to truly achieve energy savings. To regulate and control the carbon emissions of the entire central air conditioning system, this invention introduces a mechanism model for regulating and controlling the cooling capacity and energy consumption of the central air conditioning system. This mechanism model accurately predicts the cooling demand of the building under different environmental conditions, thereby calculating the energy consumption of the central air conditioning system and the corresponding regulation and control methods, thus achieving energy-saving operation of the central air conditioning system.

[0030] The key feature of this invention lies in calculating the cooling capacity and energy consumption of a building's central air conditioning system using a mechanistic model, thereby obtaining the required cooling capacity of the building under different environments. Through mechanistic analysis of the cooling capacity of the central air conditioning unit, the energy consumption of the entire air conditioning room under different operating parameters is analyzed and listed for the same cooling capacity, thus identifying the operating parameters with the lowest energy consumption and lowest carbon emissions, achieving the goal of maximum energy efficiency and low carbon emissions for the entire air conditioning room.

[0031] When performing calculations using the mechanistic model, the parameters that need to be collected include outdoor temperature. T e Outdoor humidity T s Indoor temperature T 0. Air conditioning unit chilled water supply temperature T 1. Air conditioning unit chilled water supply temperature T 1. Evaporating pressure of air conditioning unit P 0. Air conditioning unit condensing pressure Pk Air conditioner unit overheating T c Air conditioning unit subcooling T k .

[0032] I. Mechanism model of central air conditioning system used: Derivation of the calculation formula for the building's cooling / heating load index w; 1. Building cooling capacity: For formula (1) The cooling capacity of a building to the outdoor environment, measured in kW; The heat transfer coefficient is related to factors such as building characteristics and climate. ), Unit: kW / K; For heat conduction through a flat wall, the heat transfer flow rate is: For formula (2) In the formula, A is the area of ​​the flat wall, in m². 2 λ is the thermal conductivity of the partition wall material, in kW / (m•K); δ is the thickness of the flat wall, in meters; T w1 The outdoor sidewall surface temperature (approximate to outdoor temperature) is expressed in °C (°C); T. w2 The indoor side wall surface temperature (approximate to indoor temperature), unit: °C; This is the baseline indoor temperature, in °C. (This temperature value can be determined based on actual conditions; currently, the standard temperature for public areas in China is 26 °C). The outdoor ambient temperature is expressed in °C. For example, according to the Beijing winter heating design specifications, the outdoor temperature is -7.6 °C.

[0033] make ; The building's cooling / heating load index, unit: kW / m² 2 •K; The building area is expressed in square meters. 2 ); For formula (3) 2. Indoor air cooling / heating load: For formula (4) In the formula, For a unit mass of indoor air, the temperature decreases from T to The required cooling load at that time, in kJ / kg; C p is the specific heat capacity of air at constant pressure, in kJ / (kg•K). At a temperature of 300K, the specific heat capacity of air at constant pressure is 1.019 kJ / (kg•K); T is the real-time indoor temperature value, in °C.

[0034] For formula (5) In the formula, For indoor air to decrease from temperature T to The total cooling load required at that time, in kJ. Table 1. Air density values ​​at different temperatures

[0035] = 1.005 kJ / (kg•K), therefore, take the air density at t=20℃. =1.205 kg / m 3 .

[0036] For formula (6) M represents the building's cooling area, in meters (m²). 2 H represents the building's floor height in meters (m); converted to cooling capacity, then: For formula (7) In the formula, For indoor air to decrease from temperature T to Total cooling capacity required, unit: kW 3. Cooling capacity of the medium: Formula (8) In the formula, Q2 is the amount of heat exchanged from the air conditioning system to the room, in kJ; C is the specific heat capacity of water, in kJ / (kg•K); M is the water flow rate, in kg / h. The system return water temperature is expressed in °C. The system outlet water temperature is given in °C; the specific heat capacity of water, C = 4.175 kJ / (kg•K), and the density of water, ρ = 1.0 × 10⁻⁶. 3 kg / m 3 ,therefore: For formula (9) V represents the water flow rate of the air conditioning system, in meters per second (m³). 3 / h; converted to load: For formula (10) In the formula, The heat exchange load of the air conditioning system and indoor air is expressed in kW. Based on the load composition of the building, we can derive: Q2 = ΔQ + ΔQ1 as formula (11).

[0037] 4. Cooling / Heating Capacity of the Air Conditioning Unit: For formula (12) For formula (13) Based on the above formula, we can conclude that: For formula (14) In the formula, The cooling / heating capacity of the air conditioning unit is expressed in kJ; calculated using the formula above.

[0038] 5. Calculate based on the value of cooling capacity Q2. value.

[0039] in: so: For formula (15) In the formula, The building heat transfer index is expressed in kW / K. V represents the cooling capacity of the air conditioning system, in kW; V represents the system water flow rate per hour, in m³ / s. 3 Calculation formula: Where: V is the real-time water flow rate of the system pipeline, in meters. 3 / h; The rated flow rate of the water pump can be found on the pump's nameplate. The unit is m³ / s. 3 / h; N is the real-time operating power of the water pump, which can be read directly from the meter, in kW; N0 is the rated power of the water pump, the specific value of which can be found on the water pump nameplate, in kW; For correction factors; when the indoor temperature remains constant, T=T0, and Equation 14 can be simplified to: For formula (16) 6. Through multiple data simulations, the following calculations were performed. , The value approaches a constant. This value is determined by the characteristics of the building itself. (Generation) The corresponding table 2 is as follows (in the table) (Calculated according to formula 16) Table 2

[0040] II. Determine the power of the air conditioning system based on the predicted cooling capacity. 1. Based on the predicted cooling load, establish energy consumption models for the chiller, chilled water pumps, cooling water pumps, and cooling tower. With the goal of minimizing the sum of energy consumption of the chiller, chilled water pumps, cooling water pumps, and cooling tower, establish energy consumption mechanism models for each operating device and constraints based on underlying operational safety logic. The expression for the energy minimization optimization objective is as follows: P min =P chiller + P c.pump + P j.pump + P c.tower For formula (17) 2. Constraints A central air conditioning system is a complex system composed of multiple devices with strong coupling. The total energy consumption of the system equals the sum of the energy consumption of each individual device. Changes in the parameters of different devices will lead to changes in the total energy consumption of the central air conditioning system. Furthermore, the parameters of different devices have their corresponding operating ranges. Optimization requires considering various constraints based on the characteristics of different devices. In addition, different devices have interrelationships during operation. Therefore, model constraints are typically divided into physical constraints and constraints related to device operational safety. Constraints are set according to the actual situation as follows: (1) Constraint 1: Constraints on chilled water inlet and outlet temperatures The cooling performance and terminal temperature requirements of a central air conditioning system are directly affected by the inlet and outlet temperatures of the chilled water. If the temperature is too low, it can lead to energy waste and the risk of pipe icing and blockage; if the chilled water temperature is too high, it cannot provide sufficient cooling capacity to the room, resulting in the terminal temperature failing to meet comfort requirements. Therefore, the following constraints are set: 7℃≤T1≤12℃ 8℃≤T2≤15℃ (4) Constraint 2: Constraint on cooling water inlet temperature Based on the operating characteristics of the chiller unit and the cooling load requirements, upper and lower limits need to be set for the chilled water inlet temperature to ensure the normal operation of the system. Therefore, the constraints are set as follows: 18℃≤T k ≤37℃ (5) Constraint 3: Constraint on the operating frequency of chilled water pumps and cooling water pumps The operating frequency of the chilled water pump is affected by the end-user usage and piping design, and must meet the water circulation requirements of the most unfavorable loop; the operating frequency of the cooling water pump must meet the cooling requirements of the air conditioning unit, and must be within the range of variable speed control to ensure normal system operation. Therefore, the following constraints are set: 30H=≤f c.pump ≤50Hz 35H=≤f j.pump ≤50Hz (6) Constraint 4: Constraint on the number of operating devices To ensure the normal operation of the central air conditioning system, upper and lower limits need to be set for the number of devices in operation. Therefore, the constraints are set as follows: 1≤N chiller ≤n 1≤N c.pump ≤n 1≤N j.pump ≤n 1≤N c.tower ≤n n represents the actual number of devices configured in the project.

[0041] III. Establish a database of energy-saving and carbon-reduction strategies 1. Calculate the host power Based on the above predictions of the required cooling capacity at future times, and the constraints of the equipment, the power Pcoller of the main unit under different cooling capacities is calculated according to the pressure-enthalpy diagram of the air conditioning unit's cooling operation. The calculation mechanism model is as follows: Figure 2 As shown.

[0042] Q2=h1-h4 is formula (18) P coller =h2-h1 is the formula (19). h represents the enthalpy value in the refrigeration cycle of the air conditioning unit. The value can be found in the table; the unit is kJ / kg. 2. Calculate the power of the water pump. The power of the water pump can be calculated based on its operating frequency in Hertz, using the following formula: cump = 3 For formula (20) f is the operating frequency of the water pump, in Hertz; k is the power coefficient of the water pump, which is generally taken as 0.8~1.2.

[0043] 3. Calculate the cooling tower power. The number of operating cooling towers n is based on T k The minimum value is used to determine the cooling tower power, and the formula for calculating the cooling tower power is as follows: P c.tower =n*P is the formula (21). n represents the number of cooling towers in operation; P represents the rated power of the cooling tower fans (unit: kW); a strategy is formulated to minimize the operating power of the air conditioning system in the rear air conditioning room, generating different combinations of operating parameters to guide the operation of the air conditioning system equipment. The strategy generation table is shown in Table 3 below: Table 3

[0044] Since the number of operating devices and the combination of operating parameters can vary under the same energy consumption, the system can automatically select any operating strategy that meets the conditions based on the strategy library to ensure the lowest operating energy consumption and the least carbon emissions.

[0045] This invention provides a method for applying and implementing a heating, ventilation, and air conditioning (HVAC) mechanism model in the energy-saving and carbon-reduction control process of a central air conditioning system.

[0046] Figure 3 In the diagram: 1-Compressor; 2-Chiller water pump; 3-Cooling water pump; 4-Cooling tower fan; 5-Chiller water flow sensor; 6-Cooling water flow sensor; 7, 8-Chiller water supply and return temperature sensors; 9-Cooling tower water flow balancing valve; 10, 11-Cooling water inlet and outlet temperature sensors; 12-Chiller water pump inverter; 13-Cooling water inverter; 14-Control module; 15-Edge computer; 16-Data acquisition module; 17-Outdoor temperature sensor; 18-Indoor temperature sensor. Figure 3 The specific implementation method of the HVAC mechanism model shown in the energy-saving and carbon-reduction control process of the central air conditioning equipment room system is as follows: Using the above HVAC mechanism model formulas (1) to (16), the cooling capacity of the entire building is accurately predicted based on the outdoor and indoor temperatures. Based on the predicted cooling capacity, Pmin is obtained at a certain outdoor and indoor temperature using the HVAC mechanism model formulas (17) to (21). Based on Pmin, the number of devices and parameters of all devices in Table 2 are listed and sent to each device for execution. The specific execution process is as follows: The edge computer 15 sends the number of devices and parameters of the devices in Table 3 to the specific devices in the computer room through the control module 14. Among them, the air conditioning host 1 receives the chilled water supply temperature setpoint and the number of devices in operation from the chilled water supply and return temperature sensor 7; the chilled water pump inverter 12 receives the frequency setpoint and the number of devices in operation from the chilled water pump 2; the cooling water pump inverter 13 receives the frequency setpoint and the number of devices in operation from the cooling water pump 3; and the cooling tower 4 receives the frequency setpoint and the number of devices in operation from the cooling tower fan. During the operation, the data acquisition module 16 continuously transmits the collected data back to the edge computer 15. The edge computer 15 compares the real-time collected data with the sent data and continuously corrects the parameters to ensure that Pmin is reached.

[0047] This invention establishes a mechanistic model for predicting the cooling capacity and equipment energy consumption of user-side building central air conditioning systems. Based on fundamental HVAC theory and logic, and combined with practical applications, this model was derived through extensive project testing and data verification. It possesses unique innovation and represents a breakthrough in traditional central air conditioning energy-saving and carbon-reduction control methods. It provides a completely new control approach for energy-saving and carbon-reduction measures in central air conditioning systems, and may even have a positive and far-reaching impact on energy saving and carbon reduction across the entire HVAC industry.

[0048] This approach overcomes the shortcomings of traditional central air conditioning systems, which only target energy-saving retrofits for individual devices and cannot formulate precise energy-saving strategies for specific projects. By introducing HVAC mechanism models and conducting simulation calculations, the energy consumption of each central air conditioning system can be accurately predicted, and a project-specific energy-saving and low-carbon strategy can be customized. This makes the central air conditioning system operate more efficiently, achieving maximum energy saving, consumption reduction, and low carbon emissions.

[0049] Exemplary device Figure 4 This is a schematic diagram of the structure of a device for applying and implementing low-carbon optimization technology based on user-side temperature-controlled load demand response, provided in an exemplary embodiment of the present invention. Figure 4 As shown, the device 400 includes: Module 410 is used to construct the expression for the cooling / heating load index of a building based on the central air conditioning system mechanism model; The first calculation module 420 is used to calculate the building's cooling / heating load index value based on the building's parameter data and the cooling / heating load index expression; The second calculation module 430 is used to calculate the cooling capacity of the building to the outdoor ambient temperature based on the cooling / heating load index value; The determination module 440 is used to determine various operating modes of the central air conditioning system based on the pre-built objective function, constraints, and cooling capacity. As module 450, it is used to calculate the operating power under each operating mode and select the operating mode with the lowest operating power as the optimal operating strategy for the central air conditioning system.

[0050] Optionally, the expression for the cooling / heating load index is: In the formula, This refers to the building's cooling / heating load index; V Real-time water flow rate in the system pipeline; T 0 represents the indoor set temperature; T e represents the outdoor ambient temperature; T 1 represents the outlet water temperature of the air conditioning system; T 2 represents the return water temperature of the air conditioning system.

[0051] Optionally, the cooling capacity of the building to the outdoor ambient temperature The calculation formula is: In the formula, A This represents the area of ​​the flat wall.

[0052] Optionally, the objective function is: P min =P chiller + P c.pump + P j.pump + P c.tower In the formula, P chiller P represents the main unit power. c.pump P is the power of the chilled water pump. j.pump P represents the power of the cooling water pump. c.tower For cooling tower power; The constraints include: Constraints on the outlet and return water temperatures of the air conditioning system: 7℃≤ T 1≤12℃ 8℃≤ T 2≤15℃ In the formula, T 1 represents the water outlet temperature of the air conditioning system; T 2 represents the return water temperature of the air conditioning system; Constraints on the cooling water inlet temperature of the air conditioning system: 18℃≤ T k≤37℃ In the formula, T k This refers to the inlet temperature of the cooling water in the air conditioning system. Constraints on the operating frequency of chilled water pumps and cooling water pumps: 30H=≤f c.pump ≤50Hz 35H=≤f j.pump ≤50Hz In the formula, f c.pump f is the frequency of the chilled water pump; j.pump This refers to the frequency of the cooling water pump. Constraints on the number of operating devices: 1≤N chiller ≤n 1≤N c.pump ≤n 1≤N j.pump ≤n In the formula, n is the actual number of equipment configured in the project; N chiller N represents the number of air conditioning units in operation. c.pump N represents the number of chilled water pumps in operation. j.pump This represents the number of cooling water pumps in operation.

[0053] Optionally, module 450 includes: The calculation submodule is used to calculate the main unit power, chilled water pump power, cooling water pump power, and cooling tower power for each operating mode. The selection submodule is used to select the operating mode that minimizes the sum of the main unit power, chilled water pump power, cooling water pump power, and cooling tower power as the optimal operating strategy.

[0054] Exemplary electronic devices Figure 5 This is the structure of an electronic device provided in an exemplary embodiment of the present invention. For example... Figure 5 As shown, the electronic device 50 includes one or more processors 51 and a memory 52.

[0055] The processor 51 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0056] The memory 52 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 51 may execute the program instructions to implement the methods of the software programs of the various embodiments of the present invention described above, and / or other desired functions. In one example, the electronic device may also include an input device 53 and an output device 54, these components being interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0057] In addition, the input device 53 may also include, for example, a keyboard, a mouse, etc.

[0058] The output device 54 can output various information to the outside. The output device 54 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0059] Of course, for the sake of simplicity, Figure 5 Only some of the components of this electronic device relevant to the present invention are shown, omitting components such as buses, input / output interfaces, etc. In addition, the electronic device may include any other suitable components depending on the specific application.

[0060] Exemplary computer program products and computer-readable storage media In addition to the methods and apparatus described above, embodiments of the present invention may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps in the methods according to various embodiments of the present invention described in the "Exemplary Methods" section above.

[0061] The computer program product can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of the present invention. The programming languages ​​include object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0062] Furthermore, embodiments of the present invention may also be computer-readable storage media storing computer program instructions thereon, which, when executed by a processor, cause the processor to perform the steps of the methods according to various embodiments of the present invention described in the "Exemplary Methods" section above.

[0063] The computer-readable storage medium may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0064] The basic principles of the present invention have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in the present invention are merely examples and not limitations, and should not be considered as essential features of each embodiment of the present invention. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the present invention to the necessity of employing the aforementioned specific details.

[0065] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For system embodiments, since they largely correspond to method embodiments, the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0066] The block diagrams of devices, systems, devices, and systems involved in this invention are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, systems, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0067] The methods and systems of the present invention may be implemented in many ways. For example, they may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order of steps for the methods is for illustrative purposes only, and the steps of the methods of the present invention are not limited to the order specifically described above unless otherwise specifically stated. Furthermore, in some embodiments, the present invention may also be implemented as a program recorded on a recording medium, the program comprising machine-readable instructions for implementing the methods according to the present invention. Thus, the present invention also covers recording media storing programs for performing the methods according to the present invention.

[0068] It should also be noted that in the systems, apparatus, and methods of the present invention, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered equivalents of the present invention. The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the invention. Therefore, the invention is not intended to be limited to the aspects shown herein, but rather to be carried out within the widest scope consistent with the principles and novel features disclosed herein.

[0069] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the invention to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. An application and implementation method of low-carbon optimization technology based on user-side temperature-controlled load demand response, characterized in that, include: Based on the central air conditioning system mechanism model, construct the building's cooling / heating load index expression; Calculate the cooling / heating load index value of the building based on the building's parameter data and the cooling / heating load index expression; Calculate the cooling capacity of the building to the outdoor ambient temperature based on the cooling / heating load index value; Based on the pre-constructed objective function, constraints, and cooling capacity, the various operating modes of the central air conditioning system are determined; Calculate the operating power for each operating mode, and select the operating mode with the lowest operating power as the optimal operating strategy for the central air conditioning system.

2. The method according to claim 1, characterized in that, The expression for the cooling / heating load index is as follows: In the formula, ω is the building's cooling / heating load index; V is the real-time water flow rate of the system pipeline; and T0 is the indoor set temperature. Te represents the outdoor ambient temperature; T1 represents the outlet water temperature of the air conditioning system; and T2 represents the return water temperature of the air conditioning system.

3. The method according to claim 2, characterized in that, The formula for calculating the cooling capacity ΔQ1 of the building to the outdoor environment is as follows: ΔQ1=ω×A×(T0-T e ) In the formula, A is the area of ​​the flat wall.

4. The method according to claim 1, characterized in that, The objective function is: P min =P chiller +P c.pump +P j.pump +P c.tower In the formula, P chiller P represents the main unit power. c.pump P is the power of the chilled water pump. j.pump P is the power of the cooling water pump. c.tower For cooling tower power; The constraints include: Constraints on the outlet and return water temperatures of the air conditioning system: 7℃≤T1≤12℃ 8℃≤T2≤15℃ In the formula, T1 is the outlet water temperature of the air conditioning system; T2 is the return water temperature of the air conditioning system. Constraints on the cooling water inlet temperature of the air conditioning system: 18℃≤T k ≤37℃ In the formula, T k This refers to the inlet temperature of the cooling water in the air conditioning system. Constraints on the operating frequency of chilled water pumps and cooling water pumps: 30H=≤f c.pump ≤50Hz 35H=≤f j.pump ≤50Hz In the formula, f c.pump f is the frequency of the chilled water pump; j.pump This refers to the frequency of the cooling water pump. Constraints on the number of operating devices: 1≤N chiller ≤n 1≤N c.pump ≤n 1≤N j.pump ≤n In the formula, n is the actual number of equipment configured in the project; N chiller N represents the number of air conditioning units in operation. c.pump N represents the number of chilled water pumps in operation. j.pump This represents the number of cooling water pumps in operation.

5. The method according to claim 1, characterized in that, Calculate the operating power for each operating mode, and select the operating mode with the lowest operating power as the optimal operating strategy for the central air conditioning system, including: Calculate the main unit power, chilled water pump power, cooling water pump power, and cooling tower power for each operating mode; The optimal operating strategy is to select the operating mode that minimizes the sum of the main unit power, the chilled water pump power, the cooling water pump power, and the cooling tower power.

6. A device for applying and implementing low-carbon optimization technology based on user-side temperature-controlled load demand response, characterized in that, include: The building module is used to construct the expression for the building's cooling / heating load index based on the central air conditioning system mechanism model; The first calculation module is used to calculate the cooling / heating load index value of the building based on the building's parameter data and the cooling / heating load index expression; The second calculation module is used to calculate the cooling capacity of the building to the outdoor ambient temperature based on the cooling / heating load index value. The determination module is used to determine multiple operating modes of the central air conditioning system based on a pre-built objective function, constraints, and the cooling capacity. As a module, it is used to calculate the operating power under each operating mode and select the operating mode with the lowest operating power as the optimal operating strategy of the central air conditioning system.

7. The apparatus according to claim 6, characterized in that, The expression for the cooling / heating load index is as follows: In the formula, ω is the building's cooling / heating load index; V is the real-time water flow rate of the system pipeline; and T0 is the indoor set temperature. Te represents the outdoor ambient temperature; T1 represents the outlet water temperature of the air conditioning system; and T2 represents the return water temperature of the air conditioning system.

8. The apparatus according to claim 7, characterized in that, The formula for calculating the cooling capacity ΔQ1 of the building to the outdoor environment is as follows: ΔQ1=ω×A×(T0-T e ) In the formula, A is the area of ​​the flat wall.

9. A computer-readable storage medium, characterized in that, The storage medium stores a computer program for performing the method described in any one of claims 1-5.

10. An electronic device, characterized in that, The electronic device includes: processor; Memory used to store the processor's executable instructions; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method described in any one of claims 1-5.

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