Air conditioning operation simulation system and host equipment

By building an air-conditioning operation simulation system, including modules such as chilled water, cooling water, room temperature, and supply and mixed air, the problem of low matching between the air-conditioning system simulation system and the actual situation was solved, and accurate simulation and energy-saving control of the air-conditioning system were achieved.

CN119989651BActive Publication Date: 2025-10-03PCI TECH & SERVICE CO LTD +4
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Patent Information

Application Number
CN202510036343.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-09
Publication Date
2025-10-03
Estimated Expiration
2045-01-09

AI Technical Summary

Technical Problem

The existing air conditioning system simulation system has a low match with the actual situation, which makes it difficult for the air conditioning control strategy to achieve efficient and energy-saving temperature regulation.

Method used

Build an air-conditioning operation simulation system, including simulation modules such as chilled water, cooling water, room temperature, and supply and mixed air, construct an accurate physical model, cover the core equipment of the air-conditioning system, perform temperature and humidity adjustment and energy consumption simulation, and improve the matching degree between simulation results and actual conditions.

Benefits of technology

It achieves accurate simulation of the air-conditioning system, improves the accuracy and energy-saving effect of the air-conditioning control strategy, and can quickly verify the implementation effect of the control strategy.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application provides an air-conditioning operation simulation system and host equipment, which relate to the field of simulation technology, and solve the problem in related technologies that the simulation system has a low degree of match with the actual situation and cannot achieve accurate simulation calculations. The air-conditioning operation simulation system of this solution can construct an accurate physical model including room thermal balance, air-conditioning units, chillers and cooling water systems, which realizes the simulation of temperature and humidity regulation, dynamic changes in heat load and equipment energy consumption, covering the core equipment of the air-conditioning system, making the system simulation capability more comprehensive, and can accurately simulate environmental parameters. The simulation results have a high degree of match with the actual situation, which is helpful to better design air-conditioning control strategies, so that users can simulate the implementation effects of different control strategies, and thus help to quickly verify the accuracy of the algorithms corresponding to the control strategies.
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Description

Technical Field

[0001] The present application relates to the field of simulation technology, and in particular to an air-conditioning operation simulation system and host equipment. Background Art

[0002] Air conditioning systems have become a crucial component of subway platforms and stations within the rail transit industry, regulating the internal temperature. In these large venues, air conditioning systems consume significant energy, necessitating the configuration of control strategies to optimize the system and achieve energy savings. For example, to reduce energy consumption, different control strategies are employed for peak and off-peak periods. However, in actual operation, air conditioning systems operate continuously, and direct testing of configured control strategies can easily lead to imbalanced temperature regulation within the venue.

[0003] In the related art, air conditioning systems are typically configured with corresponding simulation systems to create a simulated environment that simulates actual operating conditions, facilitating the design of air conditioning control strategies. However, the simulation systems provided in these related arts have a low degree of compatibility with actual conditions, making it difficult to achieve accurate simulation calculations. Consequently, the air conditioning control strategies configured based on these simulation systems struggle to achieve efficient and energy-saving temperature regulation in real-world environments. Summary of the Invention

[0004] The present application provides an air-conditioning operation simulation system and host device, which solves the problem in related technologies that the simulation system has a low degree of match with the actual situation and cannot achieve accurate simulation calculations. This solution can accurately simulate environmental parameters and has a high degree of match with the actual situation, which helps to better design and test air-conditioning control strategies.

[0005] In a first aspect, the present application provides an air conditioning operation simulation system, which includes a chilled water system simulation module, a cooling water system simulation module, a room temperature simulation module, a supply and mixed air simulation module and a chiller simulation module.

[0006] The chilled water system simulation module receives the load rate of the chiller provided by the chiller simulation module and the heat exchange provided by the supply and mixed air simulation module. The chilled water system simulation module is used to simulate and calculate the chilled water flow rate and cumulative cooling capacity corresponding to the chiller, and determine the chilled water supply and return water temperature difference, chilled water supply temperature, and chilled water return temperature based on the chilled water flow rate, load rate, and heat exchange rate.

[0007] The chiller simulation module receives the accumulated cooling capacity provided by the chilled water system simulation module, and the chiller simulation module is used to determine the load rate according to the accumulated cooling capacity;

[0008] The room temperature simulation module receives the cumulative cooling capacity provided by the chilled water system simulation module, and is used to simulate and calculate the corresponding total heat load and indoor temperature based on the cumulative cooling capacity;

[0009] The supply mixed air simulation module receives the indoor temperature provided by the room temperature simulation module and the chilled water supply temperature provided by the chilled water system simulation module. The supply mixed air simulation module is used to simulate and calculate the mixed air temperature based on the indoor temperature, and simulate and calculate the heat exchange efficiency coefficient based on the chilled water supply temperature and the mixed air temperature, and determine the corresponding supply mixed air temperature difference and heat exchange capacity;

[0010] The cooling water system simulation module receives the heat exchange amount provided by the supply and mixed air simulation module. The cooling water system simulation module is used to simulate and calculate the cooling water flow rate, determine the chiller heat load based on the heat exchange amount, and simulate and calculate the corresponding cooling water supply and return water temperature difference and cooling water return temperature based on the cooling water flow rate and chiller heat load.

[0011] In a second aspect, the present application further provides a host device, which includes the air-conditioning operation simulation system provided in the first aspect.

[0012] The air conditioning operation simulation system of the present application can construct an accurate physical model including room thermal balance, air conditioning units, chillers and cooling water systems. It realizes the simulation of temperature and humidity regulation, dynamic changes in heat load and equipment energy consumption, covering the core equipment of the air conditioning system, making the system simulation capability more comprehensive, and the simulation results have a high degree of match with the actual operation conditions. Users can simulate the implementation effects of different control strategies, which helps to quickly verify the accuracy of the algorithm corresponding to the control strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A schematic diagram of an air conditioning operation simulation system provided in one embodiment of the present application;

[0014] Figure 2 A schematic diagram of the system architecture of a host device is provided for one embodiment of the present application;

[0015] Figure 3 A schematic diagram of the structure of a host device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0016] The embodiments of the present application are further described in detail below in conjunction with the accompanying drawings and examples. It will be understood that the specific embodiments described herein are merely used to explain the embodiments of the present application, rather than to limit the embodiments of the present application. It should also be noted that, for ease of description, only portions related to the embodiments of the present application, rather than all structures, are shown in the accompanying drawings. After reading this specification, those skilled in the art should be able to understand that, as long as the technical features do not contradict each other, any combination of the technical features may constitute an optional embodiment.

[0017] The terms "first", "second", etc. in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated before and after are in an "or" relationship. In the description of this application, "multiple" means two or more, and "several" means one or more.

[0018] Air conditioning systems have become a crucial component of subway platforms, stations, and other locations within the rail transit industry, regulating the internal temperature. In these large venues, air conditioning systems consume significant energy, necessitating the configuration of corresponding control strategies to optimize the system and achieve energy savings. For example, to reduce energy consumption, different control strategies are employed for peak and off-peak periods. However, in actual operation, the air conditioning system operates continuously, and directly testing the configured control strategies can easily lead to imbalanced temperature regulation within the venue. Furthermore, testing the configured control strategies during the station closing inspection phase increases energy consumption significantly, hindering operational cost management.

[0019] In this regard, the related art typically builds a simulation system that matches the air conditioning system. This system simulates environmental parameters, such as temperature and humidity, to simulate the actual operating environment, thereby providing a simulation environment for testing air conditioning control strategies. However, the inventors discovered in actual applications that the simulation systems provided in the related art have a low degree of match with actual conditions, and the simulation calculation results are inaccurate. In other words, they fail to provide relatively accurate parameters, resulting in a difficulty in matching the simulated environment with the actual conditions.

[0020] To this end, this application provides an air conditioning operation simulation system. This air conditioning operation simulation system is applied to a host device. It is conceivable that the host device can connect to corresponding sensors through corresponding interfaces on the host device to obtain sensor data; it can also receive parameters provided by a tester through an input device or communication module. The host device then runs the air conditioning operation simulation system to simulate and calculate the corresponding parameters, thereby simulating the environment of places such as rail transit station halls and platforms.

[0021] Figure 1 A schematic diagram of an air conditioning operation simulation system provided in accordance with an embodiment of the present application is shown. As shown, the air conditioning operation simulation system includes a chilled water system simulation module 110, a cooling water system simulation module 120, a room temperature simulation module 130, a supply and mixed air simulation module 140, and a chiller simulation module 150. The chilled water system simulation module 110 is used to simulate and calculate parameters related to chilled water. As can be appreciated, chilled water is related to cooling capacity, and its relevant parameters can determine the cooling capacity. The cooling water system simulation module 120 can simulate parameters related to the cooling tower of the ambient temperature control system, corresponding to the dynamic changes in the system's load. The room temperature simulation module 130 can simulate indoor temperature by simulating heat changes within the environment. The supply and mixed air simulation module 140 is used to simulate parameters such as the temperature and humidity of the mixed fresh and return air to reflect the air treatment efficiency within the air conditioning system. The chiller simulation module 150 is used to simulate the load factor, discharge pressure, and suction pressure of the chiller. In this regard, the air conditioning operation simulation system can cover the core equipment in the ambient temperature control system, such as fresh air fans, return exhaust fans, combined air conditioning units, chilled water systems and cooling towers, etc. The air conditioning operation simulation system provides more comprehensive system simulation capabilities.

[0022] It is understandable that during the simulation process, some parameters that need to be set, such as the operating frequency of the chilled water pump, the first preset coefficient, the outdoor wet-bulb temperature, the outdoor dry-bulb temperature, etc., can be determined by the tester inputting the corresponding parameter values ​​according to the actual working conditions or based on the detection results of device modules such as sensors and detection circuits.

[0023] Specifically, the chilled water system simulation module 110 can be used to simulate and calculate the chilled water flow rate corresponding to the chiller. For example, the chilled water flow rate corresponding to the chiller can be simulated and calculated based on the operating frequency of the chilled water pump and a first preset coefficient. The first preset coefficient is a coefficient representing the proportional relationship between the pump flow rate and the frequency. Therefore, the value of the chilled water flow rate obtained by the simulation calculation is the product of the operating frequency and the first preset coefficient. Furthermore, the chilled water system simulation module 110 is also used to simulate and calculate the corresponding cumulative cooling capacity, for example, based on the chilled water flow rate and a preset chilled water temperature difference.

[0024] In some embodiments, for cumulative cooling capacity, the chilled water system simulation module first determines the instantaneous cooling capacity, and then determines the cumulative cooling capacity based on the corresponding duration of each time period during operation. The value corresponding to the instantaneous cooling capacity is the product of the first preset ratio, the chilled water temperature difference, and the chilled water flow rate. Therefore, the corresponding cumulative cooling capacity can be determined by calculating the cumulative sum of the instantaneous cooling capacity in each time period. The specific calculation formula is as follows:

[0025]

[0026] Among them, IC i is the instantaneous cooling capacity, CT is the chilled water temperature difference, Q cc is the cumulative cooling capacity, V cw The cumulative cooling capacity simulation provided by this solution enables the air conditioning operation simulation system to accurately simulate the changes in heat flow within the venue, thereby helping to improve the accuracy of the simulation results of the total heat load.

[0027] The chiller simulation module 150 receives the cumulative cooling capacity provided by the chilled water system simulation module 110. Based on this, the chiller simulation module 150 can determine the load rate of the chiller according to the simulated cumulative cooling capacity, such as taking the proportion of the cumulative cooling capacity in the rated cooling capacity of the chiller as the load rate of the chiller. In addition, the chilled water system simulation module 110 also receives the load rate provided by the chiller simulation module 150. The chilled water system simulation module 110 can determine the chilled water supply temperature according to the load rate of the chiller. For example, in one embodiment, when the load rate of the chiller is determined, the chilled water supply temperature of the corresponding value is configured according to the corresponding relationship between the load rate of the chiller and the chilled water supply temperature. Similarly, the room temperature simulation module 130 receives the cumulative cooling capacity provided by the chilled water system simulation module 110. Then, the room temperature simulation module 130 can simulate and calculate the corresponding total heat load and indoor temperature based on the cumulative cooling capacity. In some embodiments, the room temperature simulation module 130 simulates and calculates the total heat load under current parameter conditions, i.e., the total heat load under the preset internal and external ambient temperatures, based on the preset internal ambient temperature, the preset external ambient temperature, and the cumulative cooling capacity. Based on the total heat load and the preset return air temperature, the indoor temperature can be simulated and calculated. It is conceivable that the indoor temperature is the sum of the preset return air temperature and the change in indoor temperature. Furthermore, given a fixed heat capacity within a space, the change in total heat load within a corresponding time interval is inversely proportional to the change in indoor temperature. Heat capacity represents the amount of heat required to be absorbed or released by the space per unit time.

[0028] The supply mixed air simulation module 140 can receive the indoor temperature provided by the room temperature simulation module 130 and use the indoor temperature simulated by the room temperature simulation module 130 as the return air temperature to determine the corresponding mixed air temperature. Alternatively, in one embodiment, the supply mixed air simulation module 140 can simulate and calculate the corresponding mixed air temperature based on the fresh air temperature, the return air temperature, and corresponding weights, such as calculating a weighted average of the fresh air temperature and the return air temperature according to the corresponding weights to determine the mixed air temperature. Alternatively, in one embodiment, the fresh air temperature is determined based on the outdoor dry-bulb temperature, such as if the two have the same value.

[0029] In addition, the supply mixed air simulation module 140 can also simulate and calculate the corresponding heat exchange efficiency coefficient based on the above-mentioned mixed air temperature and chilled water supply temperature, and then determine the corresponding supply mixed air temperature difference based on the heat exchange efficiency coefficient, and further determine the corresponding heat exchange amount, such as simulating and calculating the corresponding heat exchange amount based on the supply mixed air temperature difference, the heat exchange coefficient and the operating frequency of the air-conditioning unit.

[0030] When the supply and mixed air simulation module 140 simulates and calculates the corresponding heat exchange rate, the chilled water system simulation module 110 receives the heat exchange rate provided by the supply and mixed air simulation module 140 and then simulates and calculates the chilled water supply and return temperature difference based on the heat exchange rate and the chilled water flow rate. In this regard, the chilled water system simulation module 110 simulates and calculates the corresponding chilled water return temperature based on the chilled water supply temperature and the chilled water supply and return temperature difference, where the chilled water return temperature is the sum of the chilled water supply temperature and the chilled water supply and return temperature difference.

[0031] The cooling water system simulation module 120 can be used to simulate and calculate the corresponding cooling water flow rate, such as the cooling water flow rate corresponding to the chiller based on the operating frequency of the cooling water pump and a second preset coefficient. The cooling water system simulation module 120 receives the heat exchange amount provided by the supply mixed air temperature, allowing the cooling water system simulation module 120 to determine the chiller heat load based on the heat exchange amount. Optionally, in one embodiment, the corresponding chiller heat load is simulated and calculated based on the heat exchange amount, the total power of the chiller, and the system heat dissipation efficiency. Furthermore, the cooling water system simulation module 120 can also simulate and calculate the corresponding cooling water supply and return water temperature difference and the cooling water return water temperature based on the cooling water flow rate and the chiller heat load.

[0032] As can be seen from the above scheme, the air-conditioning operation simulation system can construct an accurate physical model that includes room thermal balance, air-conditioning units, chillers and cooling water systems. It realizes the simulation of temperature and humidity regulation, dynamic changes in heat load and equipment energy consumption, covering the core equipment of the air-conditioning system, making the system simulation capability more comprehensive, and the simulation results have a high degree of match with the actual operation conditions. Users can simulate the implementation effects of different control strategies, which helps to quickly verify the accuracy of the algorithm corresponding to the control strategy.

[0033] In some embodiments, the chilled water supply and return temperature difference is calculated based on the heat exchange rate and chilled water flow rate simulated by the supply and mixed air simulation module. For example, the product of the chilled water flow rate and a first preset ratio is calculated, and this product is used as the flow product value. The ratio of the heat exchange rate to the flow product value is then calculated, and this ratio is used as the chilled water supply and return temperature difference. The specific calculation formula is as follows:

[0034]

[0035] Among them, T td1 Q is the temperature difference between the supply and return water of chilled water, he is the heat transfer, V cw In this regard, due to the close relationship between chilled water and cooling capacity, the air conditioning operation simulation system achieves better simulation effects by simulating the temperature difference between the supply and return water of chilled water, making the simulation results more in line with the actual situation.

[0036] The chilled water supply temperature can be determined according to the correspondence between the load rate of the chiller and the chilled water supply temperature, and then the sum of the chilled water supply temperature and the chilled water supply and return temperature difference is used as the chilled water return temperature. In this regard, the chilled water system simulation module can simulate the chilled water system to provide corresponding simulation results, so that the simulation effect of the air conditioning operation simulation system is better and more in line with the actual situation.

[0037] It should be noted that, in one embodiment, the chilled water supply temperature is related to the load rate of the chiller. The chilled water system simulation module determines the chilled water supply temperature according to the load rate provided by the chiller simulation module. When the load rate of the chiller is less than or equal to 90%, the chilled water supply temperature is the preset outlet temperature; and when the load rate of the chiller is greater than 90%, the chilled water supply temperature is the sum of the preset outlet temperature and the first preset value. It can be understood that after the load rate of the chiller increases to more than 90%, the corresponding chilled water supply temperature will also increase, increasing from the initial value (i.e., the preset outlet temperature) by the first preset value.

[0038] In some embodiments, the room temperature simulation module calculates the temperature change by simulating the heat flow in the place. Therefore, the room temperature simulation module can further determine the corresponding temperature change after the total heat load, thereby determining the indoor temperature, which helps to improve the matching degree between the simulation results of the air conditioning operation simulation system and the actual situation.

[0039] Based on the principle that the total heat load is the difference between the total heat source heat load and the cooling load, the room temperature simulation module determines the cumulative cooling capacity from the cooling quantum module and then determines the specific value of the cooling load based on the corresponding coefficient. For example, the product of the cumulative cooling capacity and the cooling coefficient is used as the specific value of the cooling load. The total heat source heat load is related to the indoor heat source heat load and the outdoor heat transfer heat load. The indoor heat source heat load is a fixed value, while the outdoor heat transfer heat load is related to the preset internal ambient temperature and the preset external ambient temperature. The product of the difference between the preset external ambient temperature and the preset internal ambient temperature and the heat transfer coefficient is used as the outdoor heat transfer heat load. For example, the corresponding calculation formula is as follows:

[0040]

[0041] Among them, Q is the total heat load, Qh is the total heat source heat load, Qc is the cooling load, Qh i is the indoor heat source heat load, Qh o is the outdoor heat transfer load, K A is the heat transfer coefficient, Tout is the preset external ambient temperature, and Tin is the preset internal ambient temperature.

[0042] Then, the heat change value is determined based on the total heat load and the preset time interval, and the corresponding temperature change value is determined based on the indoor heat capacity value and the heat change value, so as to update the initial return air temperature and use the updated temperature value as the current indoor temperature. The specific calculation formula is as follows:

[0043]

[0044] Where ΔQ is the heat change value, ΔTr is the temperature change value, Tr1 is the indoor temperature, and Tr0 is the initial return air temperature.

[0045] In one embodiment, the supply and mixed air simulation module simulates and calculates the mixed air temperature based on the indoor temperature. Specifically, weights are determined based on the fresh air fan frequency, the return and exhaust fan frequency, and the fresh air ratio. For example, the product of the fresh air fan frequency and the fresh air ratio is used as the first weight, and the product of the return and exhaust fan frequency and a second preset ratio is used as the second weight, where the sum of the fresh air ratio and the second preset ratio is 1.

[0046] Then, the corresponding weighted average values ​​of the fresh air temperature and the return air temperature are calculated according to the corresponding weights to determine the mixed air temperature, wherein the mixed air temperature obtained by the room temperature simulation module is used as the return air temperature. For example, the first product value corresponding to the product of the fresh air temperature and the first weight and the second product value corresponding to the product of the return air temperature and the second weight are determined, and the sum of the first product value and the second product value is calculated as the product sum, thereby calculating the weight sum corresponding to the sum of the first weight and the second weight, and the ratio of the product sum to the weight sum is used as the mixed air temperature. The specific calculation formula is as follows:

[0047]

[0048] Among them, Tm is the mixed air temperature, Tn is the fresh air temperature, Tre is the return air temperature, f1 is the fresh air fan frequency, f2 is the return exhaust fan frequency, K b is the fresh air ratio. The mixed air temperature can be used to reflect the quality of the air conditioning control strategy, facilitating testers' verification of the control strategy. The air conditioning operation simulation system can accurately simulate the mixed air temperature through the above method, making it more consistent with the actual situation and helping to better optimize the energy conservation of the air conditioning system.

[0049] The supply mixed air simulation module can also simulate and calculate the heat exchange efficiency coefficient based on the chilled water supply temperature and the mixed air temperature, thereby determining the supply mixed air temperature difference and heat exchange capacity. In one embodiment, the heat exchange capacity simulated and calculated by the supply mixed air simulation module is determined based on the supply mixed air temperature difference, the heat exchange coefficient, and the operating frequency of the air conditioning unit. The heat exchange coefficient is used to quantify the impact of air volume on heat transfer efficiency and can be set to a fixed value, while the operating frequency of the air conditioning unit can correspond to the actual frequency setting of the air conditioning unit in the location where it is deployed. For the supply mixed air temperature difference, the supply mixed air simulation module determines the corresponding heat exchange efficiency coefficient based on the temperature difference between the mixed air temperature and the chilled water supply temperature. The supply mixed air temperature difference is then determined based on the heat exchange efficiency coefficient, the maximum supply mixed air temperature difference, and the valve opening coefficient.

[0050] Specifically, the temperature difference between the mixed air temperature and the chilled water supply temperature is calculated, and the product of the temperature difference and the preset coefficient is used as the heat exchange efficiency coefficient. The product of the heat exchange efficiency coefficient, the maximum mixed air supply temperature difference, and the valve opening coefficient is then used as the mixed air supply temperature difference. It can be imagined that the maximum mixed air supply temperature difference is a set fixed value, and the valve opening coefficient corresponds to the opening of the two-way valve used to adjust the chilled water flow. The specific calculation formula is as follows:

[0051]

[0052] Where ΔT td2 is the mixed air temperature difference, f AHU is the operating frequency of the air conditioning unit, Kc is the heat transfer coefficient, ΔT max is the maximum mixed air supply temperature difference, η1 is the heat exchange efficiency coefficient, η2 is the valve opening coefficient, Tm is the mixed air temperature, and Tst is the chilled water supply temperature.

[0053] In one embodiment, after the load factor is determined, the chiller simulation module may determine the chiller's suction pressure and discharge pressure based on the load factor. For example, when the chiller's load factor is 0, the chiller's suction pressure and discharge pressure are identical, such as both being 604.6 kPa. When the chiller's load factor is not 0, the chiller's suction pressure is the difference between a first preset pressure value and a first load pressure value, where the first load pressure value is the product of the load factor and a first load coefficient.

[0054] When the load rate of the chiller is not 0, the exhaust pressure of the chiller is the sum of the second preset pressure value and the second load pressure value, and the second load pressure value is the product of the load rate and the second load coefficient, wherein the first load coefficient is less than the second load coefficient.

[0055] In some embodiments, the cooling water system simulation module can simulate and calculate the cooling water flow rate corresponding to the chiller based on the operating frequency of the cooling water pump and a second preset coefficient, such as using the product of the operating frequency of the cooling water pump and the second preset coefficient as the cooling water flow rate corresponding to the chiller. In addition, after obtaining the heat exchange provided by the supply and mixed air simulation module, the cooling water system simulation module can simulate and calculate the chiller heat load based on the heat exchange, the total power of the chiller, and the system heat dissipation efficiency, such as multiplying the sum of the heat exchange and the total power of the chiller by the system heat dissipation efficiency to determine the chiller heat load. Furthermore, based on the chiller heat load and the cooling water flow, the cooling water supply and return water temperature difference is simulated and calculated, such as calculating the product of the cooling water flow and a first preset ratio, and then using this product as the flow product value, thereby calculating the ratio of the chiller heat load to the flow product value, and using this ratio as the cooling water supply and return water temperature difference.

[0056] Based on this, the sum of the cooling water supply temperature and the cooling water supply and return temperature difference is used as the cooling water return temperature. It should be noted that in one embodiment, the cooling water supply temperature simulated by the cooling water system simulation module is determined based on the outdoor wet-bulb temperature. It is conceivable that the outdoor wet-bulb temperature can be a preset parameter. When the outdoor wet-bulb temperature is less than 16°C, the cooling water supply temperature is the sum of the outdoor wet-bulb temperature and a second preset increment. When the outdoor wet-bulb temperature is greater than or equal to 16°C, the cooling water supply temperature is equal to the sum of the outdoor wet-bulb temperature and a third preset increment, minus a target value, where the target value is the cooling tower frequency divided by a preset multiple.

[0057] For example, in one embodiment, Figure 2A system architecture diagram of a host device is provided for an embodiment of the present application. The host device includes a human-computer interaction layer 210, a simulation and control algorithm layer 220, a data processing layer 230, a data interface layer 240, a hardware layer 250 and a network communication layer 260. Each layer can implement corresponding functions to realize the simulation of environmental parameters by the air-conditioning operation simulation system and complete the verification of the control strategy.

[0058] Among them, the human-computer interaction layer 210 can provide corresponding management pages for testers to input corresponding parameters, and the human-computer interaction layer 210 can also provide a visual interface to display simulation results to testers. The simulation and control algorithm layer 220 is used to provide a physical simulation model to realize the simulation function of the air-conditioning operation simulation system, and is used to configure and verify the control strategy. The data processing layer 230 provides data processing functions such as data acquisition and data analysis to process data, ensure data integrity and efficient execution of simulation calculations. The data interface layer 240 realizes data transfer and real-time communication between different modules through the configured communication protocol. The hardware layer 250 provides computing resources, storage space, etc. to support the operation of the simulation environment and equipment. The network communication layer 260 is used to ensure the stability, security and integrity of data transmission within and outside the simulation platform.

[0059] It is understandable that testers can configure the corresponding preset parameters through the host device, and then the air conditioning operation simulation system will simulate the corresponding environmental parameters, such as the chilled water return temperature, cooling water return temperature, mixed air temperature, etc. For the verification of the control strategy, testers can reconfigure the corresponding parameters so that the air conditioning operation simulation system simulates the environmental parameters after the air conditioning system responds to the control strategy. It can be imagined that the control strategy regulates the air conditioning system by adjusting the parameters during the operation process, such as adjusting the unit's frequency, water supply temperature, and other parameters. To this end, according to the corresponding adjustment results of the control strategy, the corresponding parameters are adjusted, and the air conditioning operation simulation system can output the corresponding environmental parameters to reflect the response of the air conditioning system to the control strategy.

[0060] Figure 3This is a structural diagram of a host device provided in an embodiment of the present application, which includes the air-conditioning operation simulation system provided in the above embodiment, and has functional modules and beneficial effects corresponding to the execution method. As shown in the figure, the host device includes a processor 301, a memory 302, an input device 303 and an output device 304. The number of processors 301 can be one or more, and the figure takes one processor 301 as an example; the processor 301, the memory 302, the input device 303 and the output device 304 can be connected via a bus or other means, and the figure takes the connection via a bus as an example. The memory 302, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as the program instructions / modules corresponding to the motor control method in the embodiment of the present application. The processor 301 executes the corresponding various functional applications and data processing by running the software programs, instructions and modules stored in the memory 302, that is, realizes the above-mentioned air-conditioning operation simulation system.

[0061] The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data recorded or created during use, etc. In addition, the memory 302 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 302 may further include a memory remotely located relative to the processor 301, and these remotely located memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0062] The input device 303 can be used to input corresponding digital or character information to the processor 301, and generate key signal input related to the user settings and function control of the device; the output device 304 can be used to send or display key signal output related to the user settings and function control of the device.

[0063] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0064] Note that the above are only preferred embodiments of the present application and the technical principles employed. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments and may include many other equivalent embodiments without departing from the scope of the present application. The scope of the present application is determined by the scope of the appended claims.

Claims

1. An air conditioning operation simulation system, characterized in that: Including chilled water system simulation module, cooling water system simulation module, room temperature simulation module, supply and mixed air simulation module and chiller simulation module; The chilled water system simulation module receives the load rate of the chiller provided by the chiller simulation module and the heat exchange provided by the supply and mixed air simulation module. The chilled water system simulation module is used to simulate and calculate the chilled water flow rate and accumulated cooling capacity corresponding to the chiller, and determine the chilled water supply and return water temperature difference, the chilled water supply temperature, and the chilled water return temperature based on the chilled water flow rate, the load rate, and the heat exchange rate. The chiller simulation module receives the accumulated cooling capacity provided by the chilled water system simulation module, and the chiller simulation module is configured to determine the load rate according to the accumulated cooling capacity; The room temperature simulation module receives the accumulated cooling capacity provided by the chilled water system simulation module, and is used to simulate and calculate the corresponding total heat load and indoor temperature based on the accumulated cooling capacity; The supply mixed air simulation module receives the indoor temperature provided by the room temperature simulation module and the chilled water supply temperature provided by the chilled water system simulation module, and is used to simulate and calculate the mixed air temperature according to the indoor temperature, and simulate and calculate the heat exchange efficiency coefficient according to the chilled water supply temperature and the mixed air temperature, and determine the corresponding supply mixed air temperature difference and the heat exchange amount; The cooling water system simulation module receives the heat exchange amount provided by the supply and mixed air simulation module. The cooling water system simulation module is used to simulate and calculate the cooling water flow rate, determine the heat load of the chiller based on the heat exchange amount, and simulate and calculate the corresponding cooling water supply and return water temperature difference and cooling water return temperature based on the cooling water flow rate and the heat load of the chiller.

2. The air conditioning operation simulation system according to claim 1, characterized in that: The simulation steps of the chilled water system simulation module simulating and calculating the chilled water flow and cumulative cooling capacity corresponding to the chiller include: According to the operating frequency of the chilled water pump and the first preset coefficient, the chilled water flow corresponding to the chiller is simulated and calculated; Based on a first preset ratio, calculating a product of the first preset ratio, the chilled water temperature difference, and the chilled water flow rate, and using the product as an instantaneous cooling capacity; According to the duration corresponding to each time period and the instantaneous cooling capacity, a corresponding cumulative sum is calculated as the cumulative cooling capacity.

3. The air conditioning operation simulation system according to claim 1 or 2, characterized in that: The determining of the chilled water supply and return temperature difference, the chilled water supply temperature, and the chilled water return temperature according to the chilled water flow rate, the load rate, and the heat exchange amount includes: Determining the chilled water supply temperature corresponding to the current load rate based on the load rate and the corresponding relationship between the load rate of the chiller and the chilled water supply temperature; determining the chilled water supply and return water temperature difference according to a ratio of the heat exchange amount to a product value of the chilled water flow rate and a first preset ratio; The sum of the chilled water supply temperature and the chilled water supply and return temperature difference is taken as the chilled water return temperature.

4. The air conditioning operation simulation system according to claim 3, characterized in that: The determining, based on the load rate and the corresponding relationship between the load rate of the chiller and the chilled water supply temperature, the chilled water supply temperature corresponding to the current load rate includes: When the load rate of the chiller is less than or equal to 90%, the chilled water supply temperature is the preset outlet water temperature; When the load rate of the chiller is greater than 90%, the chilled water supply temperature is the sum of the preset outlet water temperature and the first preset value increase.

5. The air conditioning operation simulation system according to claim 1, characterized in that: The simulating calculation of the corresponding total heat load and indoor temperature based on the accumulated cooling capacity includes: Calculate the product of the difference between the preset external ambient temperature and the preset internal ambient temperature and the heat transfer coefficient to determine the outdoor heat transfer heat load; determining a cooling load based on the product of the accumulated cooling capacity and the cooling coefficient; Based on the outdoor heat transfer heat load, the preset indoor heat source heat load and the cooling load, the corresponding sum is calculated as the total heat load under the current parameter conditions, and the sum of the initial return air temperature and the temperature change value is used as the indoor temperature. The temperature change value is the ratio of the indoor heat capacity value to the heat change value. The heat change value is the product of the total heat load and the preset time interval.

6. The air conditioning operation simulation system according to claim 1 or 5, characterized in that: The simulating and calculating the mixed air temperature according to the indoor temperature includes: The indoor temperature calculated by the room temperature simulation module is used as the return air temperature, and the preset outdoor dry-bulb temperature is used as the fresh air temperature; The product of the fresh air fan frequency and the fresh air ratio is used as the first weight, and the product of the exhaust fan frequency and a second preset ratio is used as the second weight, where the sum of the fresh air ratio and the second preset ratio is 1; Determining a first product value corresponding to the product of the fresh air temperature and the first weight and a second product value corresponding to the product of the return air temperature and the second weight, and calculating a sum of the first product value and the second product value as a product sum; A weighted sum corresponding to the sum of the first weight and the second weight is calculated, and a ratio of the product sum to the weighted sum is used as the mixed air temperature.

7. The air conditioning operation simulation system according to claim 6, characterized in that: The simulation calculation of the heat exchange efficiency coefficient according to the chilled water supply temperature and the mixed air temperature, and the determination of the corresponding supply and mixed air temperature difference and the heat exchange amount, include: Calculating the temperature difference between the mixed air temperature and the chilled water supply temperature, and taking the product of the temperature difference and a preset coefficient as the heat exchange efficiency coefficient; Calculating the product of the heat exchange efficiency coefficient, the maximum supply and mixed air temperature difference, and the valve opening coefficient as the supply and mixed air temperature difference; The product value of the supply and mixed air temperature difference, the heat exchange coefficient and the operating frequency of the air-conditioning unit is determined, and the product value is used as the heat exchange amount.

8. The air conditioning operation simulation system according to claim 1, characterized in that: The chiller simulation module is further configured to determine the suction pressure and the exhaust pressure of the chiller according to the load rate; Wherein, when the load rate of the chiller is 0, the suction pressure and the exhaust pressure of the chiller are the same; When the load rate of the chiller is not 0, the suction pressure of the chiller is the difference between the first preset pressure value and the first load pressure value, the exhaust pressure of the chiller is the sum of the second preset pressure value and the second load pressure value, the first load pressure value is the product of the load rate and the first load coefficient, and the second load pressure value is the product of the load rate and the second load coefficient.

9. The air conditioning operation simulation system according to claim 1, characterized in that: The determining of the heat load of the chiller according to the heat exchange amount, and the simulation calculation of the corresponding cooling water supply and return water temperature difference and cooling water return temperature according to the cooling water flow and the heat load of the chiller, include: The product of the operating frequency of the cooling water pump and the second preset coefficient is used as the cooling water flow corresponding to the chiller; The heat load of the chiller is calculated by simulation based on the heat exchange amount, the total power of the chiller and the heat dissipation efficiency of the system; Calculate the cooling water supply and return water temperature difference by simulation based on the cooling machine heat load and the cooling water flow rate; Based on a preset outdoor wet-bulb temperature, the cooling water supply temperature is determined, and the sum of the cooling water supply temperature and the cooling water supply and return temperature difference is used as the cooling water return temperature.

10. A host device, characterized in that: It comprises the air conditioning operation simulation system as described in any one of claims 1-9.

Citation Information

Patent Citations

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