Efficient refrigerating machine room system performance verification and optimization method

Abstract

The invention relates to an efficient refrigerating machine room system performance verification and optimization method, which comprises the following steps of: firstly, carrying out annual dynamic load calculation on a building, and establishing load characteristic data; determining a design performance index according to the load characteristic data; verifying the energy efficiency of the design scheme, and calculating the energy consumption and the energy efficiency of the cold source system; then system optimization and design scheme evaluation are carried out, and the optimal scheme of the cold source system is determined through technical economy analysis; and finally, storing feasibility schemes and optimal schemes obtained after iterative calculation of all different optimization measures and data thereof to form a callable database. According to the method, the annual energy efficiency ratio design target value of the efficient machine room cold source system is determined according to factors such as building functions, load characteristics and project positioning, then through target decomposition, cold source equipment model selection and verification of each sub-item index, under the principle that the whole life cycle cost is the lowest, through comparison and selection of different combination schemes, the energy efficiency ratio design target value of the efficient machine room cold source system is obtained. And selecting an optimal design scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of performance verification of building refrigeration machine rooms, and particularly to a method for verifying and optimizing the performance of an efficient refrigeration machine room system. Background Art

[0002] With the continuous development of society and economy, super high-rise buildings are increasing day by day. In the construction of super high-rise offices, basements, podium commercial areas and hotels, performance verification of refrigeration machine rooms is involved. At present, the energy efficiency of refrigeration machine rooms is too low. For newly built, rebuilt and expanded refrigeration machine room projects, requirements for the overall operating energy efficiency of refrigeration machine rooms have gradually been put forward at the initial stage of construction. Most projects require that the overall energy efficiency of the refrigeration machine room is not less than 5.0. However, at present, the overall energy efficiency of refrigeration machine rooms in the design stage cannot be effectively verified and optimized, resulting in a large amount of resource waste and an extended design cycle. Moreover, the process of verifying and optimizing the performance of the current refrigeration machine room system cannot be digitalized, nor can an effective database be formed. Summary of the Invention

[0003] In order to overcome the defects of the above-mentioned prior art, the purpose of the present invention is to provide a method for verifying and optimizing the performance of an efficient refrigeration machine room system.

[0004] A method for verifying and optimizing the performance of an efficient refrigeration machine room system is carried out according to the following steps:

[0005] Step 1: Calculate the annual dynamic load of the building. Analyze the hourly load of the building throughout the year through eQUEST software and establish load characteristic data;

[0006] Step 2: Determine the design performance index according to the load characteristic data;

[0007] Step 3: Verify the energy efficiency of the design scheme: Establish a cold source system model using TRNSYS software; then given the input conditions of the module, simulate and calculate the operating data of the system such as temperature, flow rate and power, and then calculate the energy consumption and energy efficiency of the cold source system;

[0008] Step 4: System optimization: By selecting different optimization measures, continuously iterate and calculate the energy efficiency of the cold source system until the energy efficiency of the cold source system is higher than the energy efficiency target value;

[0009] Step 5: Evaluate the design scheme: Determine the best scheme of the cold source system through technical and economic analysis;

[0010] Step 6: Store the feasible schemes and the best scheme and their data after iterative calculation of all different optimization measures to form a callable database.

[0011] Further, in Step 1, the specific steps are:

[0012] Step 1.1: Select the hourly load calculation boundary conditions, which include the service area size, basic data of the building envelope, indoor heat disturbance parameters, indoor design parameters, outdoor meteorological data, and the selection of the cooling season time.

[0013] Step 1.2: Use eQUEST software to establish a building dynamic load calculation model, set the load calculation boundary conditions, and simulate and calculate the hourly load.

[0014] Step 1.3: Analyze the load characteristics to form load characteristic data.

[0015] Furthermore, in the above Step 2, the specific steps are as follows:

[0016] Step 2.1: Determine the comprehensive energy efficiency ratio of the cold source system design.

[0017] Step 2.2: Select the cold source system equipment, including the selection of chillers and cooling towers.

[0018] Furthermore, in Step 3, the specific steps are as follows:

[0019] Step 3.1: Use TRNSYS software to establish a cold source system model. The software contains a rich set of HVAC system modules. Call the modules that implement these specific functions to establish the cold source system model.

[0020] Step 3.2: Collect and analyze data. According to the HVAC design drawings provided by the design institute, analyze relevant drawings such as the air-conditioning cold source system diagram, equipment list, and design specifications, and statistically analyze the equipment and system design parameters. Also, obtain the off-design performance data of chillers, cooling towers, and pumps from the equipment manufacturers.

[0021] Step 3.3: Build an air-conditioning cold source system model. Call the chiller, cooling tower, variable-frequency pump, data reading, calculation control, and output modules in TRNSYS software to build the cold source system model.

[0022] Step 3.4: Simulate the energy efficiency of the design scheme. Input the building hourly load characteristic data, the off-design performance data of the cold source equipment provided by the manufacturer, and the design control strategy into the cold source system model. Simulate the hourly data of the cooling capacity, temperature, flow rate, and power parameters of the cold source system of the design scheme, and calculate the annual energy consumption and energy efficiency of the cold source system of the design scheme.

[0023] Furthermore, in Step 3.4: Input the performance data and operation strategies of the main unit, pumps, and cooling towers into the cold source system model established in TRNSYS, calculate the energy consumption of the cold source equipment, and calculate the annual energy efficiency ratio of the cold source system in the refrigeration machine room using the following formula;

[0024]

[0025] Where: EERa: annual energy efficiency ratio of the cold source system; ΣQ: annual cumulative cooling capacity of the chiller;

[0026] ΣP: The cumulative power consumption of the cold source system throughout the year, including the power consumption of the refrigeration unit, cooling tower, cooling water pump, primary cold water pump, cold release pump and secondary cold water pump.

[0027] Further, in step 4: the specific steps are:

[0028] Step 4.1: Water system pipe network simulation, use the pipe network fluid simulation software PIPE-FLO to build a water system pipe network model;

[0029] Step 4.2: Simulate and analyze the pipe network resistance of the refrigeration room water system in the design scheme, and propose resistance reduction optimization measures;

[0030] Step 4.3: Simulate and verify the optimization measures, input the calculation conditions of the optimization scheme into the cold source system model established by TRNSYS, simulate the energy consumption of the cold source system of different schemes, and calculate the annual energy efficiency ratio and auxiliary equipment power consumption ratio of the cold source system of each scheme;

[0031] Step 4.4: Use the cold source system model established by TRNSYS to iteratively calculate the energy efficiency of the cold source system and obtain an optimization solution in which the energy efficiency of the cold source system is higher than the energy efficiency target value.

[0032] Further, in step 5: the specific steps are:

[0033] Step 5.1: Design scheme evaluation criteria are set. Under the principle of meeting the indoor comfort index requirements and giving priority to the cooling capacity of the medium-temperature chiller, the number and frequency of equipment, chilled water supply temperature and cooling water supply temperature are comprehensively adjusted to maximize the comprehensive operating energy efficiency of the cold source side, rather than sacrificing the efficiency of a certain type of equipment in exchange for the efficiency of other types of equipment;

[0034] Step 5.2: Determination of the best solution: The system monitors and calculates the energy efficiency ratio of the cooling source system in real time. At the same time, the hourly energy consumption of the cooling source system of each solution of the whole system is simulated, and the annual operating cost of the cooling source system of each solution is calculated based on the electricity price. Then, the best solution is determined based on the service life and the cost of the optimization solution.

[0035] Further, in step 6: the specific steps are:

[0036] Step 6.1: Store the data obtained after iterative calculation of all different optimization measures;

[0037] Step 6.2: After comparing the data of the advantages and disadvantages of all different optimization measures, classify and store them to form tabular data;

[0038] Step 6.3: Organize the final data of the optimized best solution into parameter data and process flows to form installation construction data;

[0039] Step 6.4: Store all data according to research and development, procurement, construction, and cost accounting to form a database that can be called separately.

[0040] To sum up: The present invention first determines the design target value of the annual energy efficiency ratio of the cold source system in the high-efficiency computer room according to factors such as building functions, load characteristics, and project positioning, and then through target decomposition, selects cold source equipment, while verifying each sub-index. Under the principle of the lowest life-cycle cost, through the comparison and selection of different combination schemes, the best design scheme is selected; at the same time, the data is stored through a database, providing a theoretical basis and data support for research and development, procurement, construction, and cost accounting, better improving the systematic verification and optimization of the high-efficiency refrigeration computer room, greatly shortening the design and construction cycles, providing digital intelligent applications for building mechanical and electrical design, installation, and construction, and providing a basis for the upgrading of the traditional construction industry. Brief Description of the Drawings

[0041] Figure 1 It is a flow schematic diagram of the present invention.

[0042] Figure 2 It is an hourly building load calculation appearance model established through eQUEST software.

[0043] Figure 3 It is a graph of hourly dry and wet bulb temperatures and enthalpy values of the outdoor air during the cooling season of the typical meteorological year in Chengdu.

[0044] Figure 4 It is an hourly cooling load curve on the peak load day in Chengdu.

[0045] Figure 5 It is the cooling hours at different load rates during the working hours in the cooling season in Chengdu.

[0046] Figure 6 It is the full-load performance curve of a certain brand's 7037kW normal-temperature unit under the condition of variable chilled water / cooling water temperature.

[0047] Figure 7 It is the rated parameters of a certain brand's cooling tower.

[0048] Figure 8 It is the hourly power consumption of the cold source equipment during the cooling season.

[0049] Figure 9 It is a statistical table of the energy-saving benefit indicators formed by evaluating the optimized design scheme. Detailed Embodiment

[0050] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0051] As Figures 1 to 8 shown, a method for verifying and optimizing the performance of an efficient refrigeration machine room system is carried out according to the following steps:

[0052] Step 1: Calculate the annual dynamic load of the building. Analyze the hourly load of the building throughout the year through eQUEST software and establish load characteristic data;

[0053] Step 2: Determine the design performance index according to the load characteristic data;

[0054] Step 3: Verify the energy efficiency of the design scheme: Establish a cold source system model using TRNSYS software; then given the input conditions of the module, simulate and calculate the operating data of the system's temperature, flow rate, and power, and further calculate the energy consumption and energy efficiency of the cold source system;

[0055] Step 4: System optimization: By selecting different optimization measures, continuously iterate and calculate the energy efficiency of the cold source system until the energy efficiency of the cold source system is higher than the energy efficiency target value;

[0056] Step 5: Evaluate the design scheme: Determine the best scheme of the cold source system through technical and economic analysis;

[0057] Step 6: Store the feasible schemes and the best scheme and their data after iterative calculation of all different optimization measures to form a callable database. The present invention first determines the design target value of the annual energy efficiency ratio of the cold source system for the efficient machine room according to factors such as building function, load characteristics, and project positioning, and then through target decomposition, selects the cold source equipment, and at the same time verifies each sub-index. Under the principle of the lowest life-cycle cost, through the comparison of different combination schemes, the best design scheme is selected; it greatly shortens the design and construction cycle, provides data-based intelligent applications for building mechanical and electrical design, installation, and construction, provides a basis for the upgrade of the traditional construction industry, and at the same time, according to the current technical products and construction technologies, through the data stored in the database, provides a theoretical basis and data support for research and development, procurement, construction, and cost accounting to select the corresponding feasible scheme to meet the requirements of flexible application, and better improve the systematic verification and optimization of the efficient refrigeration machine room.

[0058] As a preferred embodiment, in Step 1, the specific steps are:

[0059] Step 1.1: Select the boundary conditions for hourly load calculation; the boundary conditions for hourly load calculation include the service area area, basic data of the enclosure structure, indoor heat disturbance parameters, indoor design parameters, outdoor meteorological data, and the selection of the cooling season time;

[0060] Step 1.2: Establish a building dynamic load calculation model using eQUEST software, set the load calculation boundary conditions, and simulate and calculate the hourly load;

[0061] Step 1.3: Analyze the load characteristics to form load characteristic data.

[0062] As a preferred embodiment, in step 2, the specific steps are as follows:

[0063] Step 2.1: Determine the comprehensive energy efficiency ratio of the cold source system design;

[0064] Step 2.2: Select the cold source system equipment. The selection of cold source equipment includes the selection of chillers and cooling towers.

[0065] As a preferred embodiment, in step 3, the specific steps are as follows:

[0066] Step 3.1: Establish a cold source system model using TRNSYS software. The software contains a rich set of HVAC system modules. Call the modules that implement these specific functions to establish a cold source system model;

[0067] Step 3.2: Collect and analyze data. According to the HVAC design drawings provided by the design institute, analyze relevant drawings such as the air-conditioning cold source system diagram, equipment list, and design specifications, and statistically analyze the equipment and system design parameters; and obtain the off-design performance data of chillers, cooling towers, and pumps from the equipment manufacturers;

[0068] Step 3.3: Build an air-conditioning cold source system model; call the chiller, cooling tower, variable-frequency pump, data reading, calculation control, and output modules in TRNSYS software to build a cold source system model;

[0069] Step 3.4: Simulate the energy efficiency of the design scheme; input the hourly load characteristic data of the building, the off-design performance data of the cold source equipment provided by the manufacturer, and the design control strategy into the cold source system model, simulate the hourly data of the cooling capacity, temperature, flow rate, and power parameters of the cold source system of the design scheme, and calculate the annual energy consumption and energy efficiency of the cold source system of the design scheme.

[0070] As a preferred embodiment, in step 3.4: Input the performance data and operation strategy of the main engine, pump, and cooling tower into the cold source system model established in TRNSYS, calculate the energy consumption of the cold source equipment, and calculate the annual energy efficiency ratio of the cold source system of the refrigeration machine room using the following formula;

[0071]

[0072] In the formula: EERa: Annual energy efficiency ratio of the cold source system; ΣQ: Annual cumulative cooling capacity of the chiller;

[0073] ΣP: The cumulative power consumption of the cold source system throughout the year, including the power consumption of the refrigeration unit, cooling tower, cooling water pump, primary cold water pump, cold release pump and secondary cold water pump.

[0074] As a preferred embodiment, in step 4: the specific steps are:

[0075] Step 4.1: Water system pipe network simulation, use the pipe network fluid simulation software PIPE-FLO to build a water system pipe network model;

[0076] Step 4.2: Simulate and analyze the pipe network resistance of the refrigeration room water system in the design scheme, and propose resistance reduction optimization measures;

[0077] Step 4.3: Simulate and verify the optimization measures, input the calculation conditions of the optimization scheme into the cold source system model established by TRNSYS, simulate the energy consumption of the cold source system of different schemes, and calculate the annual energy efficiency ratio and auxiliary equipment power consumption ratio of the cold source system of each scheme;

[0078] Step 4.4: Use the cold source system model established by TRNSYS to iteratively calculate the energy efficiency of the cold source system and obtain an optimization solution in which the energy efficiency of the cold source system is higher than the energy efficiency target value.

[0079] As a preferred embodiment, in step 5: the specific steps are:

[0080] Step 5.1: Design scheme evaluation criteria are set. Under the principle of meeting the indoor comfort index requirements and giving priority to the cooling capacity of the medium-temperature chiller, the number and frequency of equipment, chilled water supply temperature and cooling water supply temperature are comprehensively adjusted to maximize the comprehensive operating energy efficiency of the cold source side, rather than sacrificing the efficiency of a certain type of equipment in exchange for the efficiency of other types of equipment;

[0081] Step 5.2: Determination of the best solution: The system monitors and calculates the energy efficiency ratio of the cooling source system in real time. At the same time, the hourly energy consumption of the cooling source system of each solution of the whole system is simulated, and the annual operating cost of the cooling source system of each solution is calculated based on the electricity price. Then, the best solution is determined based on the service life and the cost of the optimization solution.

[0082] As a preferred embodiment, in step 6: the specific steps are:

[0083] Step 6.1: Store the data obtained after iterative calculation of all different optimization measures;

[0084] Step 6.2: After comparing the data of the advantages and disadvantages of all different optimization measures, classify and store them to form tabular data;

[0085] Step 6.3: Arrange the final data of the optimized best solution into parameter data and process flow to form installation and construction data;

[0086] Step 6.4: Store all data according to research and development, procurement, construction, and cost accounting to form a separately callable database.

[0087] Specifically, taking the systematic verification and optimization of high-efficiency intelligent units in Chengdu as an example, the hourly data of the typical meteorological year in Chengdu in Energyplus is selected for calculating outdoor meteorological parameters. For example, Figure 3 as shown, analyzing the data of the typical meteorological year in Chengdu, the annual dry-bulb temperature varies between -0.9°C and 34.8°C, the annual average temperature is 16.6°C, and the annual enthalpy value varies between 7.2 kJ / kg and 91.8 kJ / kg. Taking the indoor design temperature (25°C) and the enthalpy value corresponding to the design temperature and humidity (55 kJ / kg) as the basis for determining the cooling season time, the cooling season time is initially determined to be from May 1st to September 30th, which is consistent with the operation time provided by the owner and the property. During the cooling season, determine the air-conditioning start and stop times according to the internal disturbance time law and the owner's requirements. The air-conditioning in the above-ground office area of the tower is turned on from 7:00 to 20:00 on weekdays, the air-conditioning in the above-ground commercial area of the tower is turned on from 9:00 to 23:00 on weekdays, and the air-conditioning in the above-ground area of the tower is not turned on on rest days. The air-conditioning in the block commercial and basement areas is turned on from 8:00 to 22:00 on weekdays and rest days. According to the situation in Chengdu, Figures 3 to 5 as shown, set the load calculation boundary conditions to simulate and calculate the hourly load; conduct load characteristic analysis to form load characteristic data; Figure 2 as shown, establish a building hourly load calculation model through eQUEST software; then determine the comprehensive energy efficiency ratio of the cold source system design; Figures 6 to 8 as shown, then select the cold source system equipment according to the equipment parameters of the relevant cold source system, and calculate the annual energy consumption and energy efficiency of the cold source system of the design scheme. Build a water system pipe network model through the pipe network fluid simulation software PIPE-FLO for simulation analysis, propose resistance reduction optimization measures, and use the cold source system model established by TRNSYS to continuously iterate and calculate the cold source system energy efficiency to obtain an optimized scheme with a cold source system energy efficiency higher than the energy efficiency target value; at the same time, for the hourly energy consumption simulated by the cold source systems of each scheme of the entire system, calculate the annual operation cost of the cold source systems of each scheme based on the electricity price, and then determine the best scheme by combining the service life and the cost of the optimized scheme. Still taking the project of systematic verification and optimization of high-efficiency intelligent units in Chengdu as an example, through the hourly energy consumption simulated by the cold source systems of each scheme after verification and optimization, with the electricity price of 1.0 yuan / kWh, calculate the annual operation cost of the cold source systems of each scheme. The service life of the air-conditioning cold source system equipment is calculated as 15 years. Then, the operating cost saved during the entire life cycle of the optimized schemes of the five feasible schemes is as Figure 9As shown in the "Technical Specification for High-efficiency Refrigeration Machine Rooms" T / CECS 1012-2022, when EERa≥5.0, it can be considered that the high-efficiency refrigeration machine room standard is met. And the high-efficiency refrigeration machine rooms are divided into three grades according to the annual energy efficiency ratio value of the cold source system, namely Grade 1, Grade 2, and Grade 3 energy efficiency; the corresponding annual energy efficiency ratios of the cold source system for each grade reach 6.0, 5.5, and 5.0 respectively; through the evaluation of the design scheme, it can be obtained that the annual energy efficiency ratio of the cold source system of Optimization Plan 5 reaches 5.76, which has reached the Grade 2 energy efficiency standard, and the operating cost savings over 15 years can reach 13.84 million yuan, making it the best plan. Store all the feasible plans and the best plan and their data after iterative calculation of all different optimization measures to form a callable database, which provides valuable reference basis and theoretical support for R & D, procurement, construction, and cost accounting.

[0088] Although the specific implementation manners of the present invention have been described and explained in detail above, it should be pointed out that: we can make various equivalent changes and modifications to the above-mentioned implementation manners according to the concept of the present invention, and when the functions and effects generated by them still do not exceed the spirit covered by the specification, they should all be within the protection scope of the present invention.

Claims

1. An efficient method for verifying and optimizing the performance of a refrigeration machine room system, characterized in that, Proceed as follows: Step 1: Calculate the annual dynamic load of the building. Analyze the hourly load of the building throughout the year using eQUEST software and establish load characteristic data; Step 2: Determine the design performance indicators based on the load characteristic data; Step 3: Verify the energy efficiency of the design scheme: Use TRNSYS software to establish a chilled water system model; then given the input conditions of the modules, simulate and calculate the operating data of the system's temperature, flow rate, and power, and further calculate the energy consumption and energy efficiency of the chilled water system; Step 4: System optimization: By selecting different optimization measures, continuously iterate and calculate the energy efficiency of the chilled water system until the energy efficiency of the chilled water system is higher than the energy efficiency target value; Step 5: Evaluate the design scheme: Determine the best scheme for the chilled water system through technical and economic analysis; Step 6: Store the feasible schemes and the best scheme and their data after iterative calculation of all different optimization measures to form a callable database.

2. The performance verification and optimization method of an efficient refrigeration machine room system according to claim 1, characterized in that: In Step 1, the specific steps are: Step 1.1: Select the boundary conditions for hourly load calculation; the boundary conditions for hourly load calculation include the service area, basic data of the building envelope, indoor heat disturbance parameters, indoor design parameters, outdoor meteorological data, and selection of the cooling season; Step 1.2: Use eQUEST software to establish a building dynamic load calculation model, set the boundary conditions for load calculation, and simulate and calculate the hourly load; Step 1.3: Conduct load characteristic analysis to form load characteristic data.

3. An efficient refrigeration machine room system performance verification and optimization method according to claim 1, characterized in that: In Step 2, the specific steps are: Step 2.1: Determine the comprehensive energy efficiency ratio of the chilled water system design; Step 2.2: Select the equipment for the chilled water system. The selection of chilled water system equipment includes the selection of chillers and cooling towers.

4. An efficient refrigeration machine room system performance verification and optimization method according to claim 1, characterized in that: In Step 3, the specific steps are: Step 3.1: Use TRNSYS software to establish a chilled water system model. The software contains a rich set of HVAC system modules. Call the modules that implement these specific functions to establish a chilled water system model; Step 3.2: Data collection and analysis. According to the HVAC design drawings provided by the design institute, analyze relevant drawings such as the air-conditioning chilled water system diagram, equipment list, and design specifications, and statistics the design parameters of the equipment and system; and obtain the off-design performance data of the chiller, cooling tower, and pump from the equipment manufacturer; Step 3.3: Build an air-conditioning chilled water system model; call the chiller, cooling tower, variable-frequency pump, data reading, calculation control, and output modules in TRNSYS software to build a chilled water system model; Step 3.4: Simulate the energy efficiency of the design scheme; input the building hourly load characteristic data, the off-design performance data of the chilled water system equipment provided by the manufacturer, and the design control strategy into the chilled water system model, simulate the hourly data of the cooling capacity, temperature, flow rate, and power parameters of the chilled water system of the design scheme, and calculate the annual energy consumption and energy efficiency of the chilled water system of the design scheme.

5. An efficient refrigeration machine room system performance verification and optimization method according to claim 4, characterized in that: In Step 3.4: Input the performance data and operating strategies of the main unit, pump, and cooling tower into the chilled water system model established in TRNSYS, calculate the energy consumption of the chilled water system equipment, and calculate the annual energy efficiency ratio of the chilled water system in the refrigeration machine room using the following formula; In the formula: EERa: annual energy efficiency ratio of the cold source system; ΣQ: annual cumulative cooling capacity of the chiller; ΣP: annual cumulative power consumption of the cold source system, including the power consumption of the refrigeration unit, cooling tower, cooling water pump, primary cold water pump, cold release pump and secondary cold water pump.

6. The performance verification and optimization method of an efficient refrigeration machine room system according to claim 1, characterized in that In step 4: The specific steps are: Step 4.1: Water system pipe network simulation, use the pipe network fluid simulation software PIPE-FLO to build a water system pipe network model; Step 4.2: Simulate and analyze the pipe network resistance of the refrigeration room water system in the design scheme, and propose resistance reduction optimization measures; Step 4.3: Simulate and verify the optimization measures, input the calculation conditions of the optimization scheme into the cold source system model established by TRNSYS, simulate the energy consumption of the cold source system of different schemes, and calculate the annual energy efficiency ratio and auxiliary equipment power consumption ratio of the cold source system of each scheme; Step 4.4: Use the cold source system model established by TRNSYS to iteratively calculate the energy efficiency of the cold source system and obtain an optimization solution in which the energy efficiency of the cold source system is higher than the energy efficiency target value.

7. An efficient refrigeration machine room system performance verification and optimization method according to claim 1, characterized in that: In step 5: the specific steps are: Step 5.1: Design scheme evaluation criteria are set. Under the principle of meeting the indoor comfort index requirements and giving priority to the cooling capacity of the medium-temperature chiller, the number and frequency of equipment, chilled water supply temperature and cooling water supply temperature are comprehensively adjusted to maximize the comprehensive operating energy efficiency of the cold source side, rather than sacrificing the efficiency of a certain type of equipment in exchange for the efficiency of other types of equipment; Step 5.2: Determination of the best solution: The system monitors and calculates the energy efficiency ratio of the cooling source system in real time. At the same time, the hourly energy consumption of the cooling source system of each solution of the whole system is simulated, and the annual operating cost of the cooling source system of each solution is calculated based on the electricity price. Then, the best solution is determined based on the service life and the cost of the optimization solution.

8. An efficient refrigeration machine room system performance verification and optimization method according to claim 1, characterized in that: In step 6: The specific steps are: Step 6.1: Store the data obtained after iterative calculation of all different optimization measures; Step 6.2: After comparing the data of the advantages and disadvantages of all different optimization measures, classify and store them to form tabular data; Step 6.3: Arrange the final data of the optimized best solution into parameter data and process flow to form installation and construction data; Step 6.4: Store all data according to R&D, procurement, construction and cost accounting to form a database that can be called separately.

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