Performance prediction method, device, electronic device and storage medium for cold station system

Abstract

The present invention discloses a performance prediction method, device, electronic device and storage medium for a cold station system. The method includes: obtaining the peak and valley time periods corresponding to the tiered electricity prices of the energy supply objects of the cold station system, and determining the refrigeration equipment operated by the cold station system within the target time period based on the peak and valley time period in which the target time period is located; the refrigeration equipment of the cold station system includes at least a base load chiller, a dual-mode chiller, a water pump, an ice melting pump and a cooling tower, the water pump includes at least a freezing pump and a cooling pump, and the operating conditions of the dual-mode chiller include an air conditioning condition and a cold storage condition; obtaining a first dynamic parameter and a first static parameter of the refrigeration equipment, and determining the target power consumption of the refrigeration equipment in the target time period based on the first dynamic parameter and the first static parameter. The embodiment of the present invention determines the target power consumption of the refrigeration equipment in the target time period based on the first dynamic parameter and the first static parameter, thereby improving the efficiency and accuracy of predicting the performance of the cold station system during building construction.

Description

Technical Field

[0001] The present invention relates to the technical field of building centralized cooling station control, and in particular to a performance prediction method, device, electronic equipment and storage medium for a cooling station system. Background Art

[0002] With the gradual acceleration of my country's urbanization, the urban construction industry has developed rapidly, and the energy consumption of buildings is on an upward trend. Cold stations are one of the indispensable components of buildings. Therefore, it is very important to predict the energy consumption and energy efficiency of cold stations during building construction.

[0003] Currently, energy consumption and efficiency predictions for cooling stations are typically achieved by acquiring building information from different stages of a construction project and then building models based on this information. However, this approach requires a large amount of building project information. Due to the varying building information at different stages, the modeling process is long and challenging, significantly impacting the efficiency and accuracy of cooling station energy consumption and efficiency predictions during construction. Summary of the Invention

[0004] The present invention provides a method, device, electronic device and storage medium for predicting the performance of a refrigeration plant system, so as to improve the efficiency and accuracy of predicting the performance of the refrigeration plant system during building construction.

[0005] According to one aspect of the present invention, a method for predicting the performance of a cold station system is provided, the method comprising:

[0006] Obtain the peak and valley time periods corresponding to the tiered electricity prices of the energy supply objects of the cooling station system, and determine the refrigeration equipment to be operated in the cooling station system within the target time period based on the peak and valley time period in which the target time period falls; the refrigeration equipment of the cooling station system includes at least a base load chiller, a dual-mode chiller, a water pump, an ice melting pump, and a cooling tower; the water pump includes at least a freezing pump and a cooling pump; the operating conditions of the dual-mode chiller include an air-conditioning condition and a cold storage condition; the peak and valley time periods are four time periods in which a day is divided into a peak time period, a peak time period, a flat time period, and a valley time period based on electricity consumption efficiency;

[0007] Obtain a first dynamic parameter and a first static parameter of the refrigeration equipment, and determine a target power consumption of the refrigeration equipment in the target time period based on the first dynamic parameter and the first static parameter; wherein the first static parameter is a rated parameter of the refrigeration equipment that affects the performance of the refrigeration station system; the first dynamic parameter is a parameter of the refrigeration equipment that affects the performance of the refrigeration station system and changes with temperature, load and time, and a cooling load of the energy supply object of the refrigeration station system, and the cooling load is a parameter that changes with time.

[0008] According to another aspect of the present invention, a performance prediction device for a refrigeration station system is provided, the device comprising:

[0009] an equipment determination module, configured to obtain the peak and valley time periods corresponding to the tiered electricity prices of the energy supply objects of the cooling station system, and determine the refrigeration equipment to be operated in the cooling station system within the target time period based on the peak and valley time period in which the target time period falls; the refrigeration equipment of the cooling station system includes at least a base load chiller, a dual-mode chiller, a water pump, an ice melting pump, and a cooling tower; the water pump includes at least a freezing pump and a cooling pump; the operating conditions of the dual-mode chiller include an air conditioning condition and a cold storage condition; the peak and valley time periods are four time periods in which a day is divided into a peak time period, a peak time period, a flat time period, and a valley time period based on electricity consumption efficiency;

[0010] A power consumption determination module is used to obtain a first dynamic parameter and a first static parameter of the refrigeration equipment, and determine the target power consumption of the refrigeration equipment in the target time period based on the first dynamic parameter and the first static parameter; wherein the first static parameter is the rated parameter of the refrigeration equipment that affects the performance of the refrigeration station system; the first dynamic parameter is the parameter of the refrigeration equipment that affects the performance of the refrigeration station system and changes with temperature, load and time, as well as the cooling load of the energy supply object of the refrigeration station system, and the cooling load is a parameter that changes with time.

[0011] According to another aspect of the present invention, an electronic device is provided, comprising:

[0012] at least one processor; and

[0013] a memory communicatively connected to the at least one processor; wherein,

[0014] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the performance prediction method for the cold station system according to any embodiment of the present invention.

[0015] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the performance prediction method of the cold station system according to any embodiment of the present invention when executed.

[0016] The technical solution of an embodiment of the present invention obtains the peak and valley time periods corresponding to the tiered electricity prices of the energy supply objects of the cooling station system. Based on the peak and valley time periods in which the target time period falls, the cooling equipment to be operated in the cooling station system during the target time period is determined. During operation of the cooling station system, the cooling equipment to be used in the corresponding time period is determined based on the different cooling capacities, thereby providing the corresponding cooling capacity to the building without consuming additional electricity. Therefore, accurately determining the cooling equipment to be operated in the cooling station system during the target time period is very important. Furthermore, a first dynamic parameter and a first static parameter of the cooling equipment are obtained. Since the first static parameter is the rated parameter of the cooling equipment that affects the performance of the cooling station system, and the first dynamic parameter is the parameter of the cooling equipment that affects the performance of the cooling station system that varies with temperature, load, and time, as well as the cooling load of the energy supply objects of the cooling station system, the first static parameter and the first dynamic parameter are data that can be obtained in the early stages of a construction project. Therefore, the target power consumption of the cooling equipment in the target time period is determined based on the first dynamic parameter and the first static parameter. This reduces the dependence on data in the prediction process, eliminating the need to wait until the later stages of the construction project to obtain data for preliminary prediction, thereby improving the efficiency and accuracy of cooling station system performance prediction during building construction.

[0017] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 is a flow chart of a performance prediction method for a cooling station system provided in accordance with an embodiment of the present invention;

[0020] Figure 2 is a flow chart of another method for predicting performance of a refrigeration station system according to an embodiment of the present invention;

[0021] Figure 3 is a flow chart of another method for predicting performance of a refrigeration station system according to an embodiment of the present invention;

[0022] Figure 4 2 is a schematic structural diagram of a performance prediction device for a refrigeration station system according to an embodiment of the present invention;

[0023] Figure 53 is a schematic structural diagram of an electronic device for implementing a performance prediction method for a cold station system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", "third", "fourth" and "reference" in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or apparatus.

[0026] Example 1

[0027] Figure 1 This is a flowchart of a performance prediction method for a cooling station system provided according to an embodiment of the present invention. This embodiment is applicable to situations where the performance of a cooling station system is predicted in the early stages of a construction project. The method can be executed by a performance prediction device for the cooling station system. The performance prediction device for the cooling station system can be implemented in the form of hardware and / or software. The performance prediction device for the cooling station system can be configured in any electronic device with network communication capabilities.

[0028] like Figure 1 As shown, the performance prediction method of the cold station system of the present invention may include the following steps:

[0029] S110 , obtaining the peak and valley time periods corresponding to the tiered electricity prices of the energy supply objects of the cooling station system, and determining the refrigeration equipment to be operated in the cooling station system within the target time period according to the peak and valley time period in which the target time period falls.

[0030] Among them, the refrigeration equipment of the cold station system includes at least a base load chiller, a dual-mode chiller, a water pump, an ice melting pump and a cooling tower. The water pump includes at least a freezing pump and a cooling pump. The operating conditions of the dual-mode chiller include air conditioning conditions and cold storage conditions. The peak and valley time period is to divide a day into four time periods: peak time period, peak time period, flat time period and valley time period according to the efficiency of electricity consumption. The present invention predicts the performance of the cold station system in a construction project. It can be predicted in the early stage of the project or in the late stage of the project. The whole process does not need to be predicted by the HVAC system modeling method. The project data in the early stage of the project and the data of the cold station system can be used for prediction. In addition, the data and information in the late stage of the project and the operation stage can also be used to predict using the method of the present invention. The performance of the cold station system can be the energy consumption and energy efficiency of the cold station system.

[0031] Among them, the target time period can be a time period set according to demand for cold station system performance prediction. For example, it can be set to one hour, that is, the cold station system performance within each hour of each day needs to be determined, and further the cold station system performance for one day, one month, one year and other time periods can be determined based on the cold station system performance each hour.

[0032] The time period in this embodiment is the hourly time, such as the time period from 12:00 to 13:00.

[0033] The energy supply target can be a building, and the tiered electricity price for the cooling station system is based on designated data provided by the local power grid. This ensures more accurate time period division and subsequent accuracy in determining the cooling equipment to be operated by the cooling station system during the target time period. Specifically, buildings use varying amounts of electricity and electricity rates in different time periods. Therefore, to ensure that the cooling station system can provide more cooling to the building while consuming less electricity, the cooling station system must operate different cooling equipment during different time periods. Therefore, accurately determining the cooling equipment to be operated is crucial. For example, during peak building electricity usage, an ice melt pump can be used for cooling, while during low electricity usage periods, a dual-mode chiller can be used for cooling, operating in a cold storage mode. During other periods, a baseload chiller and / or a dual-mode chiller can be used for cooling, operating in an air conditioning mode. This significantly improves the utilization and efficiency of each device in the air conditioning system.

[0034] As an optional but non-limiting manner, before determining the refrigeration equipment to be operated in the refrigeration plant system within the target time period, the method includes steps A1-A2:

[0035] Step A1: The peak time period is used as the first time period of the cold station system, and the valley time period is used as the second time period of the cold station system; wherein the second time period includes a first reference time period and a second reference time period, the first reference time period is a time period within a first preset time starting from midnight of the day, and the second reference time period is a time period within a second preset time at the end of the day.

[0036] Step A2: The time period between the end of the first reference time period and the start of the peak time period is used as the third time period; and the time period between the end of the peak time period and the start of the second reference time period is used as the fourth time period.

[0037] Specifically, in this embodiment, the first time period, the second time period (the second time period includes the first reference time period and the second reference time period), the third time period and the fourth time period are sorted in forward order according to the time sequence of 24 hours a day as the first reference time period, the third time period, the first time period, the fourth time period, and the second reference time period. The sum of the first reference time period, the third time period, the first time period, the fourth time period and the second reference time period is 24 hours a day.

[0038] The technical solution of this embodiment divides the time period of the cooling station system by the peak and valley time periods corresponding to the stepped electricity prices of the energy supply objects of the cooling station system, so as to accurately obtain the corresponding refrigeration equipment according to the time period.

[0039] S120. Obtain a first dynamic parameter and a first static parameter of the refrigeration equipment, and determine a target power consumption of the refrigeration equipment in a target time period based on the first dynamic parameter and the first static parameter; the first static parameter is a rated parameter of the refrigeration equipment that affects the performance of the refrigeration station system; the first dynamic parameter is a parameter of the refrigeration equipment that affects the performance of the refrigeration station system and changes with temperature, load and time, as well as a cooling load of the energy supply object of the refrigeration station system.

[0040] Among them, cooling load is a parameter that changes with time.

[0041] Specifically, the first static parameters may include the basic parameters of the base load chiller and the dual-mode chiller, which are set during the project design process, for example, the base load chiller includes parameters such as model, rated cooling capacity, number of units, evaporating temperature, condensing temperature, etc.; the dual-mode chiller includes parameters such as cold storage rate, ice storage capacity, rated cooling capacity, evaporating temperature, condensing temperature, etc. under cold storage conditions; the dual-mode chiller includes parameters such as rated cooling capacity, evaporating temperature, condensing temperature, etc. under cold storage conditions.

[0042] The first dynamic parameters may include manufacturer-provided baseload chiller performance dynamic parameters, manufacturer-provided dual-mode chiller performance dynamic parameters, and project cooling load data provided by the project. The baseload chiller performance dynamic parameters may include the rated efficiency (COP) data of the baseload chiller at different cooling water temperatures and load rates, i.e., a 6×10 data matrix. The cooling water temperatures include the following six groups: 22, 24, 26, 28, 30, and 32°C, and the load rates (PLR) include the following ten groups: 10%, 20%, ..., 100%. The dual-mode chiller performance dynamic parameters may include the rated efficiency (COP) data of the dual-mode chiller at different cooling water temperatures and load rates under two operating conditions, i.e., two 6×10 data matrices. The project cooling load data may include the project hourly cooling load simulation data, i.e., a 1×8760 data column.

[0043] The first dynamic parameter and the first static parameter of this embodiment are data that are easier for engineering personnel to understand, and there is no need to establish a two-dimensional or three-dimensional system topology diagram of the centralized cooling station on the software interface. It is only necessary to perform physical calculations on the first dynamic parameter and the first static parameter to obtain the target power consumption of the refrigeration equipment in the target time period, which greatly reduces the workload and difficulty of obtaining the energy consumption or energy efficiency prediction results of the centralized cooling station in the early stage of the project.

[0044] In addition, the target power consumption of all target time periods within the preset time period can be added together to obtain the total power consumption E within the preset time period, the rated power supply of all refrigeration equipment in the cold station system can be added together as the total power supply Q within the preset time period, and the total energy supply within the preset time period can be divided by the total power consumption within the preset time period to obtain the comprehensive efficiency EER of the cold station system within the preset time period.

[0045] The preset time period is greater than the target time period, and the preset time period may be one day, one month, one year, etc. The amount of energy supplied is determined by the refrigeration equipment as cooling capacity, ice storage capacity, or heat rejection capacity.

[0046] In addition, after determining the target power consumption for the target time period, the target tiered electricity price for the target time period can be obtained. The target power consumption and the target tiered electricity price can be multiplied together to obtain the total electricity price for the target time period, which can be provided to users for reference to consider whether to adjust the refrigeration equipment in the cold station system.

[0047] The tiered electricity price is the unit electricity price for the target time period set locally by the energy supply recipient.

[0048] The technical solution of an embodiment of the present invention obtains the peak and valley time periods corresponding to the tiered electricity prices of the energy supply objects of the cooling station system. Based on the peak and valley time periods in which the target time period falls, the cooling equipment to be operated in the cooling station system during the target time period is determined. During operation of the cooling station system, the cooling equipment to be used in the corresponding time period is determined based on the different cooling capacities, thereby providing the corresponding cooling capacity to the building without consuming additional electricity. Therefore, accurately determining the cooling equipment to be operated in the cooling station system during the target time period is very important. Furthermore, a first dynamic parameter and a first static parameter of the cooling equipment are obtained. Since the first static parameter is the rated parameter of the cooling equipment that affects the performance of the cooling station system, and the first dynamic parameter is the parameter of the cooling equipment that affects the performance of the cooling station system that varies with temperature, load, and time, as well as the cooling load of the energy supply objects of the cooling station system, the first static parameter and the first dynamic parameter are data that can be obtained in the early stages of a construction project. Therefore, the target power consumption of the cooling equipment in the target time period is determined based on the first dynamic parameter and the first static parameter. This reduces the dependence on data in the prediction process, eliminating the need to wait until the later stages of the construction project to obtain data for preliminary prediction, thereby improving the efficiency and accuracy of cooling station system performance prediction during building construction.

[0049] Example 2

[0050] Figure 2 This is a flowchart of another method for predicting the performance of a cold station system provided in an embodiment of the present invention. The technical solution of this embodiment further optimizes the process of S110 in the aforementioned embodiment on the basis of the aforementioned embodiment. This embodiment can be combined with various optional solutions in one or more of the aforementioned embodiments.

[0051] like Figure 2 As shown, the performance prediction method of the cold station system of the present invention may include the following steps:

[0052] S210: If the target time period is within the first time period, obtain a first ice storage capacity and a first cooling load of the current cooling station system, determine a first comparison result between the first ice storage capacity and the first cooling load, and determine a refrigeration device to be operated in the cooling station system within the target time period based on the first comparison result, where the first cooling load is a rated cooling load of an energy supply object of the cooling station system within the first time period.

[0053] The first time period is generally the middle of a day, and before that, the cooling station system is in operation. The rated ice storage capacity of the cooling station system is fixed, but there is no guarantee whether the ice melting pump has been running before the first time period. Therefore, the ice storage capacity of the cooling station system at the initial time of the first time period must be determined and used as the first ice storage capacity.

[0054] Specifically, if the target time period is in the first time period, the operation setting of the cold station system is that the ice melting pump needs to work to provide cooling for the energy supply object. However, in order to ensure that the cooling supply in this process is sufficient, it is necessary to determine whether the melting of the first ice storage capacity can meet the cooling load of the first time period, that is, whether the first ice storage capacity is the same as the first cooling load. If the first ice storage capacity is greater than or equal to the first cooling load, it means that the cooling capacity of the ice melting process can meet the cooling load of the first time period. In this case, the refrigeration equipment operated by the cold station system during the target time period is the ice melting pump.

[0055] If the first ice storage capacity is less than the first cooling load, it means that the cooling capacity of the ice melting process cannot meet the cooling load of the first time period, and it is necessary to further determine the first ice melting end time of the ice melting pump, and divide the first time period into a first ice melting time period and a first non-ice melting time period according to the first ice melting end time; if the target time period is in the first ice melting time period, the refrigeration equipment operated by the cold station system in the target time period is the ice melting pump; if the target time period is in the first non-ice melting time period, the refrigeration equipment operated by the cold station system in the target time period is the base load chiller and / or the dual-mode chiller, and the operating condition of the dual-mode chiller is the air-conditioning condition.

[0056] The first ice-melting time period is the time period from the start time of the first time period to the end time of the first ice-melting time period, and the first non-ice-melting time period is the time period from the end time of the first ice-melting time period to the start time of the first time period.

[0057] S220: If the target time period is in the second time period, the refrigeration equipment operated in the cooling station system during the target time period is a dual-mode chiller, and the operating condition of the dual-mode chiller is a cold storage condition.

[0058] Specifically, the second time period is generally the evening or early morning of a day. This period is the low electricity consumption period. The refrigeration equipment operating in the cold station system can be further adjusted to a dual-condition chiller, and the operating condition of the dual-condition chiller is the cold storage condition, so as to store ice during the peak electricity consumption period, so that the refrigeration equipment in the cold station system can operate more reasonably.

[0059] S230: If the target time period is in the third time period, obtain the total ice storage capacity of the cooling station system, determine a second comparison result between the total ice storage capacity and the first cooling load, and determine the refrigeration equipment to be operated in the cooling station system during the target time period based on the second comparison result; the total ice storage capacity is the ice storage capacity of the first reference time period on the current day and the second reference time period on the previous day.

[0060] Specifically, the third time period may be a regular electricity consumption stage. In order to ensure that the total ice storage capacity of the cold station system can be fully utilized, it is necessary to first determine whether the total ice storage capacity can meet the first cooling load of the first time period. If it is sufficient and there is a surplus, the ice melting pump can be turned on in advance to provide cooling for the energy supply equipment. If it is not enough, the base load chiller and / or the dual-mode chiller are used for cooling, and the operating condition of the dual-mode chiller is the air-conditioning condition.

[0061] Specifically, determining the refrigeration equipment to be operated in the cooling station system during the target time period based on the second comparison result includes: if the total ice storage capacity is less than or equal to the first cooling load, and a first melting time for the ice melting pump to melt the second ice storage capacity is less than the third time period, then the refrigeration equipment to be operated in the cooling station system during the target time period is the baseload chiller and / or the dual-mode chiller, and the operating condition of the dual-mode chiller is the air-conditioning condition; the second ice storage capacity is the difference between the total ice storage capacity and the first cooling load;

[0062] If the total ice storage capacity is greater than the first cooling load, and the first melting time of the ice melting pump to melt the second ice storage capacity is greater than or equal to the third time period, the refrigeration equipment operated by the cold station system during the target time period is the ice melting pump;

[0063] If the total ice storage capacity is greater than the first cooling load and the first melting time for melting the second ice storage capacity is less than the third time period, the third time period is divided into a second ice-melting time period and a second non-ice-melting time period according to the first melting time period; if the target time period is in the second ice-melting time period, the refrigeration equipment operated by the cooling station system during the target time period is the ice-melting pump; if the target time period is in the second non-ice-melting time period, the refrigeration equipment operated by the cooling station system during the target time period is the base load chiller and / or the dual-mode chiller, and the operating condition of the dual-mode chiller is the air-conditioning condition.

[0064] Among them, the second ice-melting time period is the time period from the initial time of the third time period to the end time of the first melting; the second non-ice-melting time period is the time period from the end time of the first melting to the end time of the third time period; the end time of the first melting is the initial time of the third time period plus the second melting time.

[0065] S240: If the target time period is in the fourth time period, determine the refrigeration equipment to be operated in the refrigeration system in the target time period according to whether the refrigeration system currently has a third ice storage capacity.

[0066] The third ice storage capacity is the difference between the total ice storage capacity and the ice melted capacity in the first time period and the ice melted capacity in the third time period, that is, the total ice storage capacity - the ice melted capacity in the first time period - the ice melted capacity in the third time period = the third ice storage capacity.

[0067] Specifically, the fourth time period may be a regular electricity consumption stage. In order to ensure that the total ice storage capacity of the cold station system can be fully utilized, it is necessary to first determine whether the total ice storage capacity is used up. If used up, the base load chiller and / or the dual-condition chiller are used for cooling, and the operating condition of the dual-condition chiller is the air-conditioning condition. If not used up, the ice melting pump can be turned on to melt the remaining ice, and then the base load chiller and / or the dual-condition chiller are turned on, and the operating condition of the dual-condition chiller is the air-conditioning condition.

[0068] Specifically, the refrigeration equipment operated in the cooling station system within the target time period is determined based on whether the current cooling station system has a third ice storage capacity, including: if the current cooling station system does not have a third ice storage capacity, the refrigeration equipment operated in the cooling station system within the target time period is the base load refrigeration machine and / or the dual-condition refrigeration machine, and the operating condition of the dual-condition refrigeration machine is the air-conditioning condition.

[0069] If the current cooling station system has a third ice storage capacity and the second melting time for melting the third ice storage capacity is less than the fourth time period, the fourth time period is divided into a third ice melting time period and a third non-ice melting time period based on the second melting time; if the target time period is in the third ice melting time period, the cooling equipment operated by the cooling station system during the target time period is an ice melting pump; if the target time period is in the third non-ice melting time period, the cooling equipment operated by the cooling station system during the target time period is a base load chiller and / or a dual-mode chiller, and the operating condition of the dual-mode chiller is the air-conditioning condition.

[0070] Among them, the third ice-melting time period is the time period from the initial time of the third time period to the second melting end time, the third non-ice-melting time period is the time period from the second melting end time to the end time of the fourth time period, and the second melting end time is the initial time of the fourth time period plus the first melting time.

[0071] As an optional embodiment, during the target time period, the refrigeration equipment operated by the cooling station system is a base load chiller and / or a dual-mode chiller, and the operating condition of the dual-mode chiller is the air-conditioning condition. Further determining whether to operate the base load chiller and / or the dual-mode chiller includes the following specific steps:

[0072] The second cooling load and the first cooling capacity are obtained. If the second cooling load is less than or equal to the first cooling capacity, the refrigeration equipment operated by the cooling station system during the target time period is the base load chiller; the second cooling load is the cooling load of the energy supply object of the cooling station system corresponding to the target time period, and the first cooling capacity is the cooling capacity of the base load chiller corresponding to the target time period; if the second cooling load is greater than the first cooling capacity, the refrigeration equipment operated by the cooling station system during the target time period is the base load chiller and the dual-mode chiller, and the operating condition of the dual-mode chiller is the air-conditioning condition.

[0073] In this embodiment, among the two options of base load refrigeration and dual-mode refrigeration and air conditioning cooling, base load refrigeration is preferred. When the cooling capacity of the base load refrigeration is insufficient, dual-mode refrigeration and air conditioning cooling is used to supplement the cooling. Generally, only dual-mode refrigeration and air conditioning cooling is not used. This cooling strategy can effectively avoid the problem of frequent power on and off switching caused by the pursuit of multi-unit efficiency optimization.

[0074] S250. Obtain a first dynamic parameter and a first static parameter of the refrigeration equipment, and determine a target power consumption of the refrigeration equipment in a target time period based on the first dynamic parameter and the first static parameter; the first static parameter is a rated parameter of the refrigeration equipment that affects the performance of the refrigeration station system; the first dynamic parameter is a parameter of the refrigeration equipment that affects the performance of the refrigeration station system and changes with temperature, load and time, as well as a cooling load of the energy supply object of the refrigeration station system.

[0075] Among them, cooling load is a parameter that changes with time.

[0076] The technical solution of the embodiment of the present invention accurately determines the refrigeration equipment operating in the cold station system within the target time period by judging whether the target time period is in a certain stage among the first time period, the second time period, the third time period, and the fourth time period, and combining the comparison between the ice storage capacity and the cooling load, thereby realizing the reasonable application of the refrigeration equipment and avoiding the increase in power consumption due to the unreasonable use of refrigeration equipment in different time periods. The first dynamic parameter and the first static parameter of the refrigeration equipment are further obtained, and the target power consumption of the refrigeration equipment in the target time period is determined based on the first dynamic parameter and the first static parameter, thereby reducing the dependence on data in the prediction process, and there is no need to wait until the later stages of the construction project to obtain data for preliminary prediction, thereby improving the prediction efficiency and accuracy of the cold station system performance during the construction period.

[0077] Example 3

[0078] Figure 3 This is a flowchart of another method for predicting the performance of a cold station system provided in an embodiment of the present invention. The technical solution of this embodiment further optimizes the process S120 in the aforementioned embodiment on the basis of the aforementioned embodiment. This embodiment can be combined with various optional solutions in one or more of the aforementioned embodiments.

[0079] like Figure 3 As shown, the performance prediction method of the cold station system of the present invention may include the following steps:

[0080] S310: Obtain the peak and valley time periods corresponding to the tiered electricity prices of the energy supply objects of the cooling station system, and determine the refrigeration equipment to be operated in the cooling station system within the target time period according to the peak and valley time period in which the target time period falls.

[0081] The cooling equipment in the cooling station system includes at least a base load chiller, a dual-mode chiller, a water pump, an ice melt pump, and a cooling tower. The water pump includes at least a freezing pump and a cooling pump. The dual-mode chiller operates in two modes: air conditioning mode and cold storage mode. The peak-valley time period is defined as the division of a day into four time periods: peak time period, flat time period, and valley time period based on electricity consumption efficiency.

[0082] S320: The refrigeration device is a base load refrigerator. A first dynamic parameter and a first static parameter of the refrigeration device are obtained, and a target power consumption of the refrigeration device in a target time period is determined based on the first dynamic parameter and the first static parameter.

[0083] Specifically, the first evaporating temperature, the first condensing temperature, the current cooling load and the rated cooling capacity of the base load chiller are obtained, and the current cooling load is used as the current cooling capacity of the base load chiller, wherein the first evaporating temperature is the evaporating temperature of the base load chiller in the target time period, the first condensing temperature is the condensing temperature of the base load chiller in the target time period, and the current cooling load is the current cooling load of the energy supply object of the cold station system in the target time period.

[0084] Determine the hourly load rate of the base load chiller based on the current cooling capacity and the rated cooling capacity of the base load chiller; hourly load rate PLR base,i It can be expressed as follows:

[0085]

[0086] Among them, Q base,i is the current cooling capacity, Q base,0 It is the rated cooling capacity of the base load chiller.

[0087] Determine the hourly external efficiency ICOP of the base load chiller based on the first evaporation temperature and the first condensation temperature base,i , which can be expressed as:

[0088]

[0089] Among them, T ev is the first evaporation temperature, T cd is the first condensation temperature.

[0090] Determine the hourly internal efficiency DCOP of the base load chiller based on its hourly load rate base,i , which can be expressed as:

[0091] DCOP base,i =f(PLR base,i )

[0092] =a+b1·PLR+b2·PLR 2 +b3·PLR 3+b4·PLR 4 +b5·PLR 5 ;

[0093] Where a and b are coefficients.

[0094] The hourly efficiency COP of the base load refrigeration machine is the product of the hourly external efficiency of the base load refrigeration machine and the hourly internal efficiency of the base load refrigeration machine. base,i , can be expressed as:

[0095] COP base,i =DCOP base,i ×ICOP base,i .

[0096] The target power consumption E for the target time period is determined based on the hourly efficiency of the base load cooling machine and the current cooling capacity of the base load cooling machine. base,i , which can be expressed as:

[0097]

[0098] S330: The refrigeration equipment is a dual-condition chiller, and the operating condition of the dual-condition chiller is a cold storage condition. A first dynamic parameter and a first static parameter of the refrigeration equipment are obtained, and a target power consumption of the refrigeration equipment in a target time period is determined based on the first dynamic parameter and the first static parameter.

[0099] Specifically, the second evaporating temperature, the second condensing temperature, the current ice storage capacity and the rated cooling capacity of the dual-condition refrigerator are obtained; the second evaporating temperature is the evaporating temperature of the dual-condition refrigerator within the target time period, the second condensing temperature is the condensing temperature of the dual-condition refrigerator within the target time period, and the current ice storage capacity is the ice storage capacity of the dual-condition refrigerator within the target time period.

[0100] The first hourly load rate of the dual-mode chiller is determined based on the current ice storage capacity and the rated cooling capacity of the dual-mode chiller; the first hourly load rate PLR1 base,i It can be expressed as follows:

[0101]

[0102] Among them, Q1 base,i is the current ice storage capacity, Q1 base,0 It is the rated cooling capacity of the dual-mode chiller.

[0103] Determine a first hourly external efficiency ICOP1 of the dual-mode refrigerator based on the second evaporation temperature and the second condensation temperature base,i , which can be expressed as:

[0104]

[0105] Among them, T1ev is the second evaporation temperature, T1 cd is the second condensation temperature.

[0106] Determine the first hourly internal efficiency DCOP1 of the dual-condition refrigerator based on the first hourly load rate of the dual-condition refrigerator base,i , which can be expressed as:

[0107] DCOP1 base,i =f(PLR1 base,i )

[0108] =a+b1·PLR+b2·PLR 2 +b3·PLR 3 +b4·PLR 4 +b5·PLR 5 ;

[0109] Where a and b are coefficients.

[0110] The product of the first hourly external efficiency of the dual-condition refrigerator and the first hourly internal efficiency of the dual-condition refrigerator is taken as the first hourly efficiency COP1 of the dual-condition refrigerator base,i , can be expressed as:

[0111] COP1 base,i =DCOP1 base,i ×ICO1P base,i .

[0112] Determine the target power consumption E1 for the target time period based on the first hourly efficiency and current ice storage capacity of the dual-mode chiller base,i , which can be expressed as:

[0113]

[0114] S340: The refrigeration equipment is a dual-mode refrigerator, and the operating condition of the dual-mode refrigerator is an air-conditioning condition. A first dynamic parameter and a first static parameter of the refrigeration equipment are obtained, and a target power consumption of the refrigeration equipment in a target time period is determined based on the first dynamic parameter and the first static parameter.

[0115] Specifically, the third evaporating temperature, the third condensing temperature, the target cooling capacity and the rated cooling capacity of the dual-condition refrigerator are obtained; the third evaporating temperature is the evaporating temperature of the dual-condition refrigerator within the target time period, the third condensing temperature is the condensing temperature of the dual-condition refrigerator within the target time period, and the target cooling capacity is the cooling capacity of the dual-condition refrigerator within the target time period.

[0116] The second hourly load rate of the dual-mode refrigeration machine is determined based on the target cooling capacity and the rated cooling capacity of the dual-mode refrigeration machine; the second hourly load rate PLR2 base,iIt can be expressed as follows:

[0117]

[0118] Among them, Q2 base,i is the target cooling capacity, Q2 base,0 It is the rated cooling capacity of the dual-mode chiller.

[0119] Determine the second hourly external efficiency ICOP2 of the dual-mode refrigerator based on the third evaporation temperature and the third condensation temperature base,i , which can be expressed as:

[0120]

[0121] Among them, T2 ev is the first evaporation temperature, T2 cd is the first condensation temperature.

[0122] Determine a second hourly internal efficiency DCOP2 of the dual-mode refrigerator based on a second hourly load rate of the dual-mode refrigerator base,i , which can be expressed as:

[0123] DCOP2 base,i =f(PLR2 base,i )

[0124] =a+b1·PLR+b2·PLR 2 +b3·PLR 3 +b4·PLR 4 +b5·PLR 5 ;

[0125] Where a and b are coefficients.

[0126] The product of the second hourly external efficiency of the dual-condition refrigerator and the second hourly internal efficiency of the dual-condition refrigerator is taken as the second hourly efficiency COP2 of the dual-condition refrigerator base,i , can be expressed as:

[0127] COP2 base,i =DCOP2 base,i ×ICOP2 base,i .

[0128] Determine the target power consumption E2 for the target time period based on the second hourly efficiency and target cooling capacity of the dual-mode chiller base,i , which can be expressed as:

[0129]

[0130] S350: The refrigeration equipment is one of an ice melting pump, a freezing pump, a cooling pump and a cooling tower. A first dynamic parameter and a first static parameter of the refrigeration equipment are obtained, and a target power consumption of the refrigeration equipment in a target time period is determined based on the first dynamic parameter and the first static parameter.

[0131] Specifically, a first dynamic parameter and a reference value range of the refrigeration equipment are obtained, an hourly random function of the refrigeration equipment is determined based on the reference value range of the refrigeration equipment (the hourly random function can be a Random function in Excel), an hourly transmission and distribution coefficient of the refrigeration equipment is output based on the hourly random function, an energy supply of the refrigeration equipment in a target time period is determined based on the first dynamic parameter, and a target power consumption of the refrigeration equipment in the target time period is determined based on the hourly transmission and distribution coefficient of the refrigeration equipment and the energy supply of the refrigeration equipment in the target time period. This can be expressed by the following formula:

[0132]

[0133] Among them, E i is the target power consumption, Q i The energy supply of the refrigeration equipment within the target time period, WTF i is the hourly distribution coefficient of the refrigeration equipment.

[0134] In this embodiment, when the refrigeration equipment is an ice melting pump, the first dynamic parameter is the amount of ice melted by the refrigeration equipment during the target time period, that is, the energy supply is the ice melting amount. When the refrigeration equipment is a freezing pump or a cooling pump, the first dynamic parameter is the amount of cooling provided by the refrigeration equipment during the target time period, that is, the energy supply is the cooling amount. When the refrigeration equipment is a cooling tower, the first dynamic parameter is the amount of heat rejected by the refrigeration equipment during the target time period, that is, the energy supply is the heat rejected.

[0135] The reference value range of refrigeration equipment can refer to the following table:

[0136] Primary transmission and distribution system in energy stations Reference value range <![CDATA[Chilled water pump transmission and distribution coefficient WTF chw,i > 30-35 <![CDATA[Cooling pump transmission and distribution coefficient WTF cw,i > 30-35 <![CDATA[Cooling tower transmission and distribution coefficient WTF ct,i > 60-70 <![CDATA[Ice melting pump transmission and distribution coefficient WTF 融冰泵,ti > 50-60

[0137] The technical solution of this embodiment, after determining the refrigeration equipment operating in the cold station system within the target time period, determines the first dynamic parameter and the first static parameter specifically corresponding to the refrigeration equipment, and obtains the final target power consumption of the refrigeration equipment in the target time period by accurately calculating the first dynamic parameter and the first static parameter, thereby achieving accurate calculation of the target power consumption, so that the target power consumption can be used to accurately predict the performance of the cold station system in different time periods.

[0138] Example 4

[0139] Figure 4This is a schematic structural diagram of a performance prediction device for a cooling station system provided in an embodiment of the present invention. This embodiment is applicable to situations where the performance of a cooling station system is predicted in the early stages of a construction project. The performance prediction device for the cooling station system can be implemented in the form of hardware and / or software. The performance prediction device for the cooling station system can be configured in any electronic device with network communication capabilities.

[0140] like Figure 4 As shown, the performance prediction device of the cold station system of the present invention includes:

[0141] The equipment determination module 410 is configured to obtain the peak and valley time periods corresponding to the tiered electricity prices of the energy supply objects of the cooling station system, and determine the refrigeration equipment to be operated in the cooling station system during the target time period based on the peak and valley time period in which the target time period falls. The refrigeration equipment of the cooling station system includes at least a base load chiller, a dual-mode chiller, a water pump, an ice melting pump, and a cooling tower. The water pump includes at least a freezing pump and a cooling pump. The operating conditions of the dual-mode chiller include an air conditioning condition and a cold storage condition. The peak and valley time periods are divided into four time periods: a peak time period, a peak time period, a flat time period, and a valley time period based on electricity consumption efficiency.

[0142] The power consumption determination module 420 is used to obtain the first dynamic parameter and the first static parameter of the refrigeration equipment, and determine the target power consumption of the refrigeration equipment in the target time period based on the first dynamic parameter and the first static parameter; wherein the first static parameter is the rated parameter of the refrigeration equipment that affects the performance of the refrigeration station system; the first dynamic parameter is the parameter of the refrigeration equipment that affects the performance of the refrigeration station system and changes with temperature, load and time, as well as the cooling load of the energy supply object of the refrigeration station system, and the cooling load is a parameter that changes with time.

[0143] Based on the above embodiment, optionally, the device determination module includes a time period division unit, which is configured to:

[0144] The peak time period is used as the first time period of the cold station system, and the valley time period is used as the second time period of the cold station system; wherein the second time period includes a first reference time period and a second reference time period, the first reference time period is a time period within a first preset time starting from midnight of a day, and the second reference time period is a time period within a second preset time at the end of a day;

[0145] The time period between the end time of the first reference time period and the start time of the peak time period is used as the third time period;

[0146] The time period between the end time of the peak time period and the start time of the second reference time period is used as the fourth time period.

[0147] Based on the above embodiment, optionally, the device determination module includes:

[0148] a first refrigeration equipment determination unit configured to, if the target time period falls within the first time period, obtain a first ice storage capacity and a first cooling load of the current refrigeration station system, determine a first comparison result between the first ice storage capacity and the first cooling load, and determine a refrigeration equipment to be operated in the refrigeration station system during the target time period based on the first comparison result; the first cooling load being a rated cooling load of an energy supply object of the refrigeration station system during the first time period;

[0149] a second refrigeration equipment determination unit, configured to, if the target time period is within the second time period, determine that the refrigeration equipment operated in the cooling station system during the target time period is the dual-mode chiller, and the operating condition of the dual-mode chiller is a cold storage condition;

[0150] a third refrigeration equipment determination unit configured to, if the target time period falls within the third time period, obtain a total ice storage capacity of the refrigeration station system, determine a second comparison result between the total ice storage capacity and the first cooling load, and determine a refrigeration equipment to be operated in the refrigeration station system during the target time period based on the second comparison result; the total ice storage capacity being the ice storage capacity during the first reference time period of the current day and the second reference time period of the previous day;

[0151] The fourth refrigeration equipment determining unit is configured to determine the refrigeration equipment to be operated in the refrigeration station system within the target time period according to whether the refrigeration station system currently has a third ice storage amount if the target time period is within the fourth time period.

[0152] Based on the above embodiment, optionally, the first refrigeration equipment determining unit is configured to:

[0153] If the first ice storage capacity is greater than or equal to the first cooling load, the refrigeration equipment operated by the cooling station system during the target time period is the ice melting pump;

[0154] If the first ice storage capacity is less than the first cooling load, determining a first ice melting end time of the ice melting pump, and dividing the first time period into a first ice melting time period and a first non-ice melting time period according to the first ice melting end time period;

[0155] If the target time period is within the first ice-melting time period, the refrigeration equipment operated by the cold station system during the target time period is the ice-melting pump;

[0156] If the target time period is within the first non-melting time period, the refrigeration equipment operated in the cold station system during the target time period is the base load refrigeration machine and / or the dual-mode refrigeration machine, and the operating condition of the dual-mode refrigeration machine is the air-conditioning condition.

[0157] Based on the above embodiment, optionally, the third refrigeration equipment determination unit is configured to:

[0158] If the total ice storage capacity is less than or equal to the first cooling load, and the first melting time of the ice melting pump to melt the second ice storage capacity is less than the third time period, then the refrigeration equipment operated in the cold station system during the target time period is the base load chiller and / or the dual-mode chiller, and the operating mode of the dual-mode chiller is the air-conditioning mode;

[0159] If the total ice storage capacity is greater than the first cooling load, and the first melting time of the ice melting pump to melt the second ice storage capacity is greater than or equal to the third time period, the refrigeration equipment operated by the cold station system during the target time period is the ice melting pump;

[0160] If the total ice storage capacity is greater than the first cooling load, and the first melting time for melting the second ice storage capacity is less than the third time period, dividing the third time period into a second ice melting time period and a second ice non-melting time period according to the first melting time period;

[0161] If the target time period is within the second ice-melting time period, the refrigeration equipment operated by the cold station system within the target time period is the ice-melting pump;

[0162] If the target time period is within the second non-ice-melting time period, the refrigeration equipment operated in the cold station system during the target time period is the base load chiller and / or the dual-mode chiller, and the operating condition of the dual-mode chiller is the air-conditioning condition; the second ice storage capacity is the difference between the total ice storage capacity and the first cooling load.

[0163] Based on the above embodiment, optionally, the fourth refrigeration equipment determining unit is configured to:

[0164] If the third ice storage capacity does not exist in the current cooling station system, the refrigeration equipment operated in the cooling station system during the target time period is the base load chiller and / or the dual-mode chiller, and the operating mode of the dual-mode chiller is the air-conditioning mode;

[0165] If the cold station system currently has a third ice storage capacity, and a second melting time for melting the third ice storage capacity is less than the fourth time period, dividing the fourth time period into a third ice melting time period and a third ice non-melting time period according to the second melting time;

[0166] If the target time period is within the third ice-melting time period, the refrigeration equipment operated by the cold station system within the target time period is the ice-melting pump;

[0167] If the target time period is within the third non-ice-melting time period, the refrigeration equipment operated in the cold station system during the target time period is the base load chiller and / or the dual-mode chiller, and the operating condition of the dual-mode chiller is the air-conditioning condition; the third ice storage capacity is the difference between the total ice storage capacity, the ice melted capacity in the first time period, and the ice melted capacity in the third time period.

[0168] Based on the above embodiment, optionally, the refrigeration equipment is the base load chiller, and the power consumption determination module includes a first power consumption determination unit configured to:

[0169] Obtaining a first evaporating temperature, a first condensing temperature, a current cooling load, and a rated cooling capacity of the base load chiller; the first evaporating temperature is the evaporating temperature of the base load chiller during the target time period, the first condensing temperature is the condensing temperature of the base load chiller during the target time period, and the current cooling load is the current cooling load of the energy supply object of the cooling station system during the target time period;

[0170] The current cooling load is used as the current cooling capacity of the base load cooling machine, and the hourly load rate of the base load cooling machine is determined based on the current cooling capacity and the rated cooling capacity of the base load cooling machine;

[0171] determining an hourly external efficiency of the base load cooler based on the first evaporation temperature and the first condensation temperature, determining an hourly internal efficiency of the base load cooler based on the hourly load rate of the base load cooler, and taking the product of the hourly external efficiency of the base load cooler and the hourly internal efficiency of the base load cooler as the hourly efficiency of the base load cooler;

[0172] The target power consumption for the target time period is determined based on the hourly efficiency of the baseload chiller and the current cooling capacity of the baseload chiller.

[0173] Based on the above embodiment, optionally, the refrigeration equipment is the dual-mode chiller, and the operating condition of the dual-mode chiller is the cold storage condition, and the power consumption determination module includes a second power consumption determination unit, which is used to:

[0174] Obtaining a second evaporating temperature, a second condensing temperature, a current ice storage capacity, and a rated cooling capacity of the dual-mode chiller; the second evaporating temperature is the evaporating temperature of the dual-mode chiller within the target time period, the second condensing temperature is the condensing temperature of the dual-mode chiller within the target time period, and the current ice storage capacity is the ice storage capacity of the dual-mode chiller within the target time period;

[0175] determining a first hourly load rate of the dual-mode chiller based on the current ice storage capacity and the rated cooling capacity of the dual-mode chiller;

[0176] determining a first hourly external efficiency of the dual-condition refrigerator based on the second evaporating temperature and the second condensing temperature, and determining a first hourly internal efficiency of the dual-condition refrigerator based on a first hourly load rate of the dual-condition refrigerator; and taking the product of the first hourly external efficiency of the dual-condition refrigerator and the first hourly internal efficiency of the dual-condition refrigerator as the first hourly efficiency of the dual-condition refrigerator;

[0177] The target power consumption for the target time period is determined based on a first hourly efficiency of the dual-mode refrigerator and the current ice storage amount.

[0178] The performance prediction device for a refrigeration station system provided in an embodiment of the present invention can execute the performance prediction method for a refrigeration station system provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0179] Example 5

[0180] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0181] Figure 5 A schematic diagram of the structure of an electronic device that can be used to implement the performance prediction method of the cold station system of an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0182] like Figure 5 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0183] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0184] The processor 11 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors that run machine learning model algorithms, a digital signal processor (DSP), and any other suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the performance prediction method for the cold station system.

[0185] In some embodiments, the performance prediction method for a cold plant system can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the performance prediction method for a cold plant system described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to execute the performance prediction method for a cold plant system in any other appropriate manner (e.g., via firmware).

[0186] Various embodiments of the systems and techniques described above can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0187] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0188] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0189] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0190] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0191] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0192] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0193] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A performance prediction method for a cooling station system, characterized in that: The method comprises: Obtain the peak and valley time periods corresponding to the tiered electricity prices of the energy supply objects of the cooling station system, and determine the refrigeration equipment to be operated in the cooling station system within the target time period based on the peak and valley time period in which the target time period falls; the refrigeration equipment of the cooling station system includes at least a base load chiller, a dual-mode chiller, a water pump, an ice melting pump, and a cooling tower; the water pump includes at least a freezing pump and a cooling pump; the operating conditions of the dual-mode chiller include an air-conditioning condition and a cold storage condition; the peak and valley time periods are four time periods in which a day is divided into a peak time period, a peak time period, a flat time period, and a valley time period based on electricity consumption efficiency; Obtaining a first dynamic parameter and a first static parameter of the refrigeration equipment, and determining a target power consumption of the refrigeration equipment in the target time period based on the first dynamic parameter and the first static parameter; wherein the first static parameter is a rated parameter of the refrigeration equipment that affects the performance of the refrigeration station system; the first dynamic parameter is a parameter of the refrigeration equipment that affects the performance of the refrigeration station system and that varies with temperature, load, and time, as well as a cooling load of an energy supply object of the refrigeration station system, wherein the cooling load is a parameter that varies with time; The step of determining the refrigeration equipment to be operated in the refrigeration station system within the target time period includes: If the target time period falls within the first time period, obtaining a first ice storage capacity and a first cooling load of the current cooling station system, determining a first comparison result between the first ice storage capacity and the first cooling load, and determining a refrigeration device to be operated in the cooling station system during the target time period based on the first comparison result; the first cooling load is a rated cooling load of an energy supply object of the cooling station system during the first time period; If the target time period is within the second time period, the refrigeration equipment operated in the cooling station system during the target time period is the dual-mode chiller, and the operating condition of the dual-mode chiller is the cold storage condition; If the target time period is within the third time period, obtaining the total ice storage capacity of the cooling station system, determining a second comparison result between the total ice storage capacity and the first cooling load, and determining the refrigeration equipment to be operated in the cooling station system during the target time period based on the second comparison result; the total ice storage capacity is the ice storage capacity during the first reference time period of the current day and the second reference time period of the previous day; If the target time period is within the fourth time period, the refrigeration equipment to be operated in the refrigeration system within the target time period is determined according to whether the refrigeration system currently has a third ice storage capacity.

2. The method according to claim 1, characterized in that Before determining the refrigeration equipment to be operated in the refrigeration plant system within the target time period, the method includes: The peak time period is used as the first time period of the cold station system, and the valley time period is used as the second time period of the cold station system; wherein the second time period includes a first reference time period and a second reference time period, the first reference time period is a time period within a first preset time starting from midnight of a day, and the second reference time period is a time period within a second preset time at the end of a day; The time period between the end time of the first reference time period and the start time of the peak time period is used as the third time period; The time period between the end time of the peak time period and the start time of the second reference time period is used as the fourth time period.

3. The method according to claim 1, characterized in that Determining, according to the first comparison result, the refrigeration equipment to be operated in the refrigeration station system within the target time period includes: If the first ice storage capacity is greater than or equal to the first cooling load, the refrigeration equipment operated by the cooling station system during the target time period is the ice melting pump; If the first ice storage capacity is less than the first cooling load, determining a first ice melting end time of the ice melting pump, and dividing the first time period into a first ice melting time period and a first non-ice melting time period according to the first ice melting end time period; If the target time period is within the first ice-melting time period, the refrigeration equipment operated by the cold station system during the target time period is the ice-melting pump; If the target time period is within the first non-melting time period, the refrigeration equipment operated in the cold station system during the target time period is the base load refrigeration machine and / or the dual-mode refrigeration machine, and the operating condition of the dual-mode refrigeration machine is the air-conditioning condition.

4. The method according to claim 1, wherein Determining, according to the second comparison result, the refrigeration equipment to be operated in the refrigeration station system within the target time period, includes: If the total ice storage capacity is less than or equal to the first cooling load, and the first melting time of the ice melting pump to melt the second ice storage capacity is less than the third time period, then the refrigeration equipment operated in the cold station system during the target time period is the base load chiller and / or the dual-mode chiller, and the operating mode of the dual-mode chiller is the air-conditioning mode; If the total ice storage capacity is greater than the first cooling load, and the first melting time of the ice melting pump to melt the second ice storage capacity is greater than or equal to the third time period, the refrigeration equipment operated by the cold station system during the target time period is the ice melting pump; If the total ice storage capacity is greater than the first cooling load, and the first melting time for melting the second ice storage capacity is less than the third time period, dividing the third time period into a second ice melting time period and a second ice non-melting time period according to the first melting time period; If the target time period is within the second ice-melting time period, the refrigeration equipment operated by the cold station system within the target time period is the ice-melting pump; If the target time period is within the second non-ice-melting time period, the refrigeration equipment operated in the cold station system during the target time period is the base load chiller and / or the dual-mode chiller, and the operating condition of the dual-mode chiller is the air-conditioning condition; the second ice storage capacity is the difference between the total ice storage capacity and the first cooling load.

5. The method according to claim 1, characterized in that Determining the refrigeration equipment to be operated in the refrigeration station system within a target time period according to whether the refrigeration station system currently has a third ice storage capacity includes: If the third ice storage capacity does not exist in the current cooling station system, the refrigeration equipment operated in the cooling station system during the target time period is the base load chiller and / or the dual-mode chiller, and the operating mode of the dual-mode chiller is the air-conditioning mode; If the cold station system currently has a third ice storage capacity, and a second melting time for melting the third ice storage capacity is less than the fourth time period, dividing the fourth time period into a third ice melting time period and a third ice non-melting time period according to the second melting time; If the target time period is within the third ice-melting time period, the refrigeration equipment operated by the cold station system within the target time period is the ice-melting pump; If the target time period is within the third non-ice-melting time period, the refrigeration equipment operated in the cold station system during the target time period is the base load chiller and / or the dual-mode chiller, and the operating condition of the dual-mode chiller is the air-conditioning condition; the third ice storage capacity is the difference between the total ice storage capacity, the ice melted capacity in the first time period, and the ice melted capacity in the third time period.

6. The method according to claim 1, characterized in that The refrigeration device is the base load chiller. Accordingly, obtaining a first dynamic parameter and a first static parameter of the refrigeration device, and determining a target power consumption of the refrigeration device in the target time period based on the first dynamic parameter and the first static parameter include: Obtaining a first evaporating temperature, a first condensing temperature, a current cooling load, and a rated cooling capacity of the base load chiller; the first evaporating temperature is the evaporating temperature of the base load chiller during the target time period, the first condensing temperature is the condensing temperature of the base load chiller during the target time period, and the current cooling load is the current cooling load of the energy supply object of the cooling station system during the target time period; The current cooling load is used as the current cooling capacity of the base load cooling machine, and the hourly load rate of the base load cooling machine is determined based on the current cooling capacity and the rated cooling capacity of the base load cooling machine; determining an hourly external efficiency of the base load cooler based on the first evaporation temperature and the first condensation temperature, determining an hourly internal efficiency of the base load cooler based on the hourly load rate of the base load cooler, and taking the product of the hourly external efficiency of the base load cooler and the hourly internal efficiency of the base load cooler as the hourly efficiency of the base load cooler; The target power consumption for the target time period is determined based on the hourly efficiency of the baseload chiller and the current cooling capacity of the baseload chiller.

7. The method according to claim 1, characterized in that The refrigeration device is the dual-mode chiller, and the operating condition of the dual-mode chiller is the cold storage condition. A first dynamic parameter and a first static parameter of the refrigeration device are obtained, and a target power consumption of the refrigeration device in the target time period is determined based on the first dynamic parameter and the first static parameter, including: Obtaining a second evaporating temperature, a second condensing temperature, a current ice storage capacity, and a rated cooling capacity of the dual-mode chiller; the second evaporating temperature is the evaporating temperature of the dual-mode chiller within the target time period, the second condensing temperature is the condensing temperature of the dual-mode chiller within the target time period, and the current ice storage capacity is the ice storage capacity of the dual-mode chiller within the target time period; determining a first hourly load rate of the dual-mode chiller based on the current ice storage capacity and the rated cooling capacity of the dual-mode chiller; determining a first hourly external efficiency of the dual-condition refrigerator based on the second evaporating temperature and the second condensing temperature, and determining a first hourly internal efficiency of the dual-condition refrigerator based on a first hourly load rate of the dual-condition refrigerator; and taking the product of the first hourly external efficiency of the dual-condition refrigerator and the first hourly internal efficiency of the dual-condition refrigerator as the first hourly efficiency of the dual-condition refrigerator; The target power consumption for the target time period is determined based on a first hourly efficiency of the dual-mode refrigerator and the current ice storage amount.

8. A performance prediction device for a cooling station system, characterized in that: The device comprises: an equipment determination module, configured to obtain the peak and valley time periods corresponding to the tiered electricity prices of the energy supply objects of the cooling station system, and determine the refrigeration equipment to be operated in the cooling station system within the target time period based on the peak and valley time period in which the target time period falls; the refrigeration equipment of the cooling station system includes at least a base load chiller, a dual-mode chiller, a water pump, an ice melting pump, and a cooling tower; the water pump includes at least a freezing pump and a cooling pump; the operating conditions of the dual-mode chiller include an air conditioning condition and a cold storage condition; the peak and valley time periods are four time periods in which a day is divided into a peak time period, a peak time period, a flat time period, and a valley time period based on electricity consumption efficiency; a power consumption determination module, configured to obtain a first dynamic parameter and a first static parameter of the refrigeration equipment, and determine a target power consumption of the refrigeration equipment in the target time period based on the first dynamic parameter and the first static parameter; wherein the first static parameter is a rated parameter of the refrigeration equipment that affects the performance of the refrigeration station system; and the first dynamic parameter is a parameter of the refrigeration equipment that affects the performance of the refrigeration station system and that varies with temperature, load, and time, as well as a cooling load of an energy supply object of the refrigeration station system, wherein the cooling load is a parameter that varies with time; The device determination module includes: a first refrigeration equipment determination unit configured to, if the target time period falls within the first time period, obtain a first ice storage capacity and a first cooling load of the current refrigeration station system, determine a first comparison result between the first ice storage capacity and the first cooling load, and determine a refrigeration equipment to be operated in the refrigeration station system during the target time period based on the first comparison result; the first cooling load being a rated cooling load of an energy supply object of the refrigeration station system during the first time period; a second refrigeration equipment determination unit, configured to, if the target time period is within the second time period, determine that the refrigeration equipment operated in the cooling station system during the target time period is the dual-mode chiller, and the operating condition of the dual-mode chiller is a cold storage condition; a third refrigeration equipment determination unit configured to, if the target time period falls within the third time period, obtain a total ice storage capacity of the refrigeration station system, determine a second comparison result between the total ice storage capacity and the first cooling load, and determine a refrigeration equipment to be operated in the refrigeration station system during the target time period based on the second comparison result; the total ice storage capacity being the ice storage capacity during the first reference time period of the current day and the second reference time period of the previous day; The fourth refrigeration equipment determining unit is configured to determine the refrigeration equipment to be operated in the refrigeration station system within the target time period according to whether the refrigeration station system currently has a third ice storage amount if the target time period is within the fourth time period.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor to enable the at least one processor to perform the performance prediction method for a cold station system according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the performance prediction method for a cold station system according to any one of claims 1 to 7 when executed.

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