Method and system for calculating energy consumption of air conditioner in tall and large space based on permeation wind influence simplification

Abstract

The invention discloses a high and large space air conditioner energy consumption calculation method and system based on seepage wind influence simplification. The method comprises the steps that a CFD numerical simulation model and an air conditioner energy consumption calculation model are constructed; performing simulation calculation on a plurality of working conditions to generate carbon dioxide distribution data and total permeation air volume; the air conditioner energy consumption calculation model is divided into multiple types of partitions; calculating ventilation times according to the total permeation air volume; and calculating annual air-conditioning energy consumption according to the ventilation times. According to the method, the CFD numerical simulation is combined with the building air conditioner load calculation software, so that the accuracy of the CFD simulation is utilized, the high efficiency of the building air conditioner energy consumption calculation software is exerted, and the calculation efficiency and accuracy are effectively improved; the indoor space is finely and virtually partitioned, the number of times of unorganized permeation air ventilation is reasonably set, and the difference of permeation air influences of different areas of the tall and large space of the building is fully considered, so that the calculation result of the air conditioner energy consumption is more practical.

Description

Technical Field

[0001] The present invention relates to the intelligent calculation technology of air-conditioning energy consumption, and specifically to a calculation method and system for air-conditioning energy consumption in large spaces based on the simplification of the influence of infiltration air. Background Art

[0002] In the design of air-conditioning systems for large spaces in buildings, accurately calculating air-conditioning energy consumption plays a key role in ensuring the efficient operation and energy conservation of the system. Infiltration air, as an important factor affecting air-conditioning energy consumption, is generated due to the temperature difference and pressure difference between the inside and outside of large building spaces, causing outdoor air to enter the indoor through building gaps, doors and windows, etc.

[0003] Currently, when mainstream air-conditioning energy consumption simulation software calculates the influence of infiltration air on the indoor space load, it only relies on a single parameter, the unorganized infiltration air change rate, for simulation. However, the spatial structure of large building spaces is complex and the functional zones are diverse, and the infiltration air conditions in each area are significantly different. For example, in the area near the entrance and exit, the personnel flow is frequent, there is more contact with the outside world, and the influence of infiltration air is large; while in the relatively enclosed internal area, the influence of infiltration air is smaller. This single-parameter simulation method cannot accurately reflect the influence of infiltration air on the loads of different indoor spaces, resulting in a large deviation between the calculated result of air-conditioning energy consumption and the actual situation.

[0004] On the other hand, although CFD (Computational Fluid Dynamics) numerical simulation can more accurately simulate the flow of infiltration air in large building spaces, the calculation amount is huge, the calculation time is long, and CFD simulation is usually only a static simulation for several working conditions, which cannot support the hourly simulation throughout the year in the scenario of building air-conditioning energy consumption simulation calculation, and it is difficult to meet the demand for quickly and accurately calculating air-conditioning energy consumption in actual projects.

[0005] In the prior art, the application number CN202211485923.1 discloses a method for coupling evaluation of annual energy consumption and thermal comfort for large-space buildings, including: 1) establishing an annual energy consumption analysis and calculation model Energy-1 for the overall building; 2) extracting the building wall temperature and indoor temperature at typical moments to provide initial and boundary conditions for CFD, and establishing a CFD overall model CFD-1 to analyze the temperature stratification phenomenon and air flow organization; 3) determining the range of indoor thermal zone division for large-space buildings according to the calculation results of model CFD-1; 4) re-establishing an energy consumption analysis and CFD two-way coupling analysis model Energy-2 and CFD-2; 5) calculating the overall building energy consumption and thermal comfort index in summer or throughout the year. It conducts two-way coupling analysis and calculation on energy consumption analysis and CFD, but when the calculation scale is expanded to annual indicators, the calculation period of CFD will be very long, seriously affecting the calculation efficiency of air-conditioning energy consumption. Summary of the Invention

[0006] To at least overcome the above deficiencies in the prior art, the purpose of this application is to provide a simplified calculation method and system for air-conditioning energy consumption in tall spaces based on the influence of infiltration wind.

[0007] In the first aspect, an embodiment of this application provides a simplified calculation method for air-conditioning energy consumption in tall spaces based on the influence of infiltration wind, including:

[0008] Obtain the spatial structure information of the target building, and construct a CFD numerical simulation model and an air-conditioning energy consumption calculation model according to the spatial structure information;

[0009] Construct multiple working conditions according to the outdoor weather parameters in different seasons, and perform simulation calculations on the multiple working conditions through the CFD numerical simulation model to generate carbon dioxide distribution data and total infiltration air volume under different working conditions;

[0010] Divide the air-conditioning energy consumption calculation model into multiple types of partitions according to the carbon dioxide distribution data; the partition types include high-influence areas, medium-influence areas, and low-influence areas;

[0011] Calculate the air change rate of each type of partition under different working conditions according to the total infiltration air volume;

[0012] Calculate the annual air-conditioning energy consumption of the target building through the air-conditioning energy consumption calculation model according to the air change rate.

[0013] In a possible implementation manner, the simulation calculation of the carbon dioxide distribution data and the total infiltration air volume includes:

[0014] Divide the seasons into summer, winter, and transitional seasons to form multiple seasonal working conditions;

[0015] Obtain the outdoor temperature, solar radiation, wind speed and direction, and outdoor carbon dioxide concentration on the typical design days of different seasonal working conditions as the outdoor weather parameters;

[0016] Set boundary conditions and calculation parameters for the CFD numerical simulation model through the outdoor weather parameters for simulation calculation;

[0017] Extract the total infiltration air volume in the calculation results as the total infiltration air volume of the corresponding seasonal working condition, and extract the carbon dioxide concentration at a height of 1.5 m above the ground surface in the calculation results as the carbon dioxide distribution data of the corresponding seasonal working condition.

[0018] In a possible implementation manner, dividing the air-conditioning energy consumption calculation model into multiple types of partitions according to the carbon dioxide distribution data includes:

[0019] Obtain the indoor carbon dioxide concentration at different positions according to the carbon dioxide distribution data;

[0020] Calculate the difference rate between the indoor carbon dioxide concentration and the outdoor carbon dioxide concentration, and divide the air-conditioning energy consumption calculation model into a high-impact area, a medium-impact area, and a low-impact area according to the difference rate.

[0021] In a possible implementation, the division of the zones includes:

[0022] Calculate the difference rate according to the following formula:

[0023]

[0024] In the formula, DR is the difference rate, C l is the indoor carbon dioxide concentration, C o is the outdoor carbon dioxide concentration;

[0025] Regard the area where the difference rate is less than or equal to 20% as the high-impact area, the area where the difference rate is greater than 20% and less than or equal to 50% as the medium-impact area, and the area where the difference rate is greater than or equal to 50% as the low-impact area.

[0026] In a possible implementation, the calculation of the air change rate includes:

[0027] Calculate the average air change rate according to the total infiltration air volume under the current working condition;

[0028] Multiply the average air change rate by the high-impact correction factor to form the air change rate in the high-impact area;

[0029] Take the average air change rate as the air change rate in the medium-impact area;

[0030] Deduct the ventilation influence of the high-impact area and the medium-impact area from the total infiltration air volume to form the air change rate in the low-impact area.

[0031] In a possible implementation, the calculation of the air change rate includes:

[0032] Calculate the average air change rate according to the following formula:

[0033]

[0034] In the formula, ACH mean is the average air change rate, V is the total infiltration air volume, S is the area of the target building, and H is the height inside the target building;

[0035] Calculate the air change rate in the high-impact area according to the following formula:

[0036] ACH high = ACH mean ×α

[0037] In the formula, ACHhigh ACH is the number of air changes per hour in the high - impact area, and α is the high - impact correction factor with a value range of 1.2 to 1.5;

[0038] Calculate the number of air changes per hour in the medium - impact area according to the following formula:

[0039] ACH medium = ACH mean

[0040] In the formula, ACH medium is the number of air changes per hour in the medium - impact area;

[0041] Calculate the number of air changes per hour in the low - impact area according to the following formula:

[0042]

[0043] In the formula, ACH low is the number of air changes per hour in the low - impact area, S high is the area of the high - impact area, S medium is the area of the medium - impact area, S low is the area of the low - impact area.

[0044] In one possible implementation, calculating the annual air - conditioning energy consumption of the target building by the air - conditioning energy consumption calculation model according to the number of air changes per hour includes:

[0045] Arrange the number of air changes per hour corresponding to different working conditions in each season of each partition in a full - year cycle to form a sequence of the number of air changes per hour for that partition;

[0046] In the process of calculating the annual air - conditioning energy consumption by the air - conditioning energy consumption calculation model, assign and adjust the number of air changes per hour for each partition through the sequence of the number of air changes per hour to complete the calculation.

[0047] In a second aspect, the present application also provides an air - conditioning energy consumption calculation system for tall spaces simplified based on the influence of infiltration air, including:

[0048] A modeling unit, configured to obtain the spatial structure information of the target building and construct a CFD numerical simulation model and an air - conditioning energy consumption calculation model according to the spatial structure information;

[0049] A working - condition unit, configured to construct multiple working conditions according to the outdoor weather parameters in different seasons and perform simulation calculations on the multiple working conditions through the CFD numerical simulation model to generate carbon dioxide distribution data and total infiltration air volume for different working conditions;

[0050] A partitioning unit, configured to divide the air - conditioning energy consumption calculation model into multiple types of partitions according to the carbon dioxide distribution data; the partition types include high - impact areas, medium - impact areas, and low - impact areas;

[0051] A calculation unit, configured to calculate the air change rate of each type of partition under different working conditions according to the total infiltration air volume;

[0052] An energy consumption unit, configured to calculate the annual air-conditioning energy consumption of the target building according to the air change rate through the air-conditioning energy consumption calculation model.

[0053] In a possible implementation manner, the working condition unit is further configured to:

[0054] Divide the seasons into summer, winter and transition seasons to form multiple season working conditions;

[0055] Obtain the outdoor temperature, solar radiation, wind speed and direction, and outdoor carbon dioxide concentration of the typical design days of different season working conditions as the outdoor weather parameters;

[0056] Set boundary conditions and calculation parameters for the CFD numerical simulation model through the outdoor weather parameters for simulation calculation;

[0057] Extract the total infiltration air volume in the calculation result as the total infiltration air volume of the corresponding season working condition, and extract the carbon dioxide concentration at a height of 1.5 m above the ground plane in the calculation result as the carbon dioxide distribution data of the corresponding season working condition.

[0058] In a possible implementation manner, the division unit is further configured to:

[0059] Obtain the indoor carbon dioxide concentration at different positions according to the carbon dioxide distribution data;

[0060] Calculate the difference rate between the indoor carbon dioxide concentration and the outdoor carbon dioxide concentration, and divide the air-conditioning energy consumption calculation model into a high-impact area, a medium-impact area and a low-impact area according to the difference rate.

[0061] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0062] Based on the simplified calculation method and system for the air-conditioning energy consumption of tall spaces affected by infiltration air, the present invention combines CFD numerical simulation and building air-conditioning load calculation software. It not only utilizes the accuracy of CFD simulation but also gives play to the high efficiency of building air-conditioning energy consumption calculation software, effectively improving the calculation efficiency and accuracy. By carrying out detailed virtual zoning of the indoor space and reasonably setting the air change rate of unorganized infiltration air, the differences in the influence of infiltration air in different areas of the tall building space are fully considered, making the calculation result of air-conditioning energy consumption more in line with the actual situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, form a part of this application, and do not limit the embodiments of the present invention. In the drawings:

[0064] Figure 1 This is a schematic diagram of the method steps in the embodiments of the present application. Detailed implementation manners

[0065] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It should be understood that the accompanying drawings in the present application are only for the purposes of illustration and description, and are not used to limit the protection scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to actual scale. The flowcharts used in the present application illustrate the operations implemented according to some embodiments of the embodiments of the present application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical context relationships may be reversed in order or implemented simultaneously. In addition, those skilled in the art may add one or more other operations to the flowchart or remove one or more operations from the flowchart under the guidance of the content of the present application.

[0066] In addition, the described embodiments are only some embodiments of the present application, rather than all embodiments. The components of the embodiments of the present application usually described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application claimed, but only represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the protection scope of the present application.

[0067] Please refer to Figure 1 , which is a schematic flowchart of the simplified air-conditioning energy consumption calculation method for tall spaces based on the influence of infiltration wind provided by the embodiments of the present invention. Further, the simplified air-conditioning energy consumption calculation method for tall spaces based on the influence of infiltration wind may specifically include the content described in the following steps S1 to S5.

[0068] S1: Obtain the spatial structure information of the target building, and construct a CFD numerical simulation model and an air-conditioning energy consumption calculation model according to the spatial structure information;

[0069] S2: Construct multiple working conditions according to the outdoor weather parameters in different seasons, and perform simulation calculations on the multiple working conditions through the CFD numerical simulation model to generate carbon dioxide distribution data and total infiltration air volume for different working conditions;

[0070] S3: Divide the air-conditioning energy consumption calculation model into multiple types of partitions according to the carbon dioxide distribution data; the partition types include high-influence areas, medium-influence areas, and low-influence areas;

[0071] S4: Calculate the air change rate of each type of partition under different working conditions according to the total infiltration air volume;

[0072] S5: Calculate the annual air-conditioning energy consumption of the target building according to the air change rate through the air-conditioning energy consumption calculation model.

[0073] When implementing the embodiments of this application, it is necessary to first obtain the spatial structure information of the target building, which can be obtained through building and HVAC system drawings; for example, in order to facilitate the construction of the CFD numerical simulation model and the air-conditioning energy consumption calculation model, obtaining the spatial structure information specifically includes spatial geometric dimensions, infiltration air path data, heat transfer coefficient of the enclosure structure, air supply and return parameters of the air conditioner, heat dissipation of indoor personnel and equipment, and carbon dioxide output of personnel; among them, the spatial geometric dimensions include the length, width, and height of the building, accurate to meters, recording the overall shape of the building and the layout of each floor; the infiltration air path data includes the location, quantity, and size of the main entrances and exits, recording the orientation, width, and height of the entrances and exits for subsequent analysis of the entry path of the infiltration air; the heat transfer coefficient of the enclosure structure includes the heat transfer coefficients of different parts such as exterior walls, roofs, floors, and glass curtain walls, with the unit of W / (m 2 ·K), and these parameters will affect the heat exchange between indoors and outdoors; the air supply and return parameters of the air conditioner include information such as the location, quantity, size, supply air temperature, supply air velocity, and fresh air volume of the supply air outlets and return air outlets, and these parameters have an important impact on the indoor air flow organization and CO2 distribution; the heat dissipation of indoor personnel and equipment includes the indoor personnel density and equipment heat dissipation, with the personnel density in persons / m 2 as the unit and the equipment heat dissipation in W / m 2 as the unit, considering the personnel activities and equipment usage in different areas; the CO2 generated by indoor personnel breathing can be converted into the concentration boundary parameter of the indoor ground for simulation according to the indoor personnel density and breathing rate.

[0074] In the embodiments of the present application, the above spatial structure information can be used to construct the CFD numerical simulation model and the air-conditioning energy consumption calculation model, and set the corresponding parameters and boundary conditions. For example, for the CFD numerical simulation model, a three-dimensional geometric model is established using Fluent commercial software to ensure the accuracy and integrity of the model. Then, the model is meshed, and appropriate mesh types and sizes are selected according to the complexity of the model and the requirements of calculation accuracy to ensure that the mesh can accurately capture the details of indoor air flow and CO2 distribution. Next, the boundary conditions are set, including the heat transfer boundary conditions of the enclosure structure, the air supply and return boundary conditions of the air conditioner, the pressure boundary conditions of the entrances and exits, etc., to ensure that the boundary conditions conform to the actual situation. For example, for the air-conditioning energy consumption calculation model, it can be constructed using EnergyPlus. When constructing, a geometric model identical to the CFD numerical simulation model needs to be established to ensure the consistency of the models. Parameters such as the heat transfer coefficient, shading coefficient, and thickness of the enclosure structure are input into the air-conditioning energy consumption calculation software, and these parameters will affect the heat transfer of the enclosure structure and the air-conditioning load. Considering the differences in the parameters of the enclosure structures in different orientations, such as the parameters of the external walls and roofs in the south, north, east, and west orientations may be different, they are set according to the actual situation. The indoor personnel load is input, including the sensible and latent heat loads of the personnel, which are calculated according to the personnel density and activity conditions, with the unit of W / m 2 ; The equipment load is input, such as the heat dissipation of lighting equipment, electrical equipment, etc., which is calculated according to the equipment power and usage time, with the unit of W / m 2 ; Considering the work and rest schedules of indoor personnel and equipment, the load changes in different time periods are set to simulate the actual indoor load situation. The construction of the air-conditioning energy consumption calculation model can be completed through the above process.

[0075] In the embodiments of the present application, in order to accurately calculate the annual air-conditioning energy consumption, the inventor sets multiple working conditions corresponding to different seasons. The main reason is that the external environment has a greater impact on the infiltration air in different seasons. For example, it can be divided into four working conditions according to spring, summer, autumn, and winter, or the spring and autumn seasons can be combined into a transition season to form three working conditions. It should be understood that in order to improve the accuracy of the final calculation, those skilled in the art can also divide it into more working conditions, such as dividing each season into three working conditions by month to form a final 12 working conditions, which should all be considered equivalent to the technical solution of the present application.

[0076] In the embodiments of the present application, for different working conditions, the indoor environment is mainly affected by outdoor weather parameters. Therefore, outdoor weather parameters generally include outdoor temperature, solar radiation, wind speed and direction, and outdoor carbon dioxide concentration. The CFD numerical simulation model can be further set with parameters and boundary conditions under different working conditions through these outdoor weather parameters. For example, in specific calculations, first select a suitable turbulence model and solution algorithm. According to the airflow characteristics and calculation accuracy requirements of the target building, a suitable turbulence model can be selected, such as the k-ε model, k-ω model, etc., and reasonable solution parameters can be set. When performing simulation calculations for different working conditions, multiple time steps are calculated for each working condition until the calculation results converge to ensure the stability and accuracy of the simulation results. The CO2 concentration distribution on the plane at a height of 1.5 m above the ground is simulated and calculated as the carbon dioxide distribution data. This height is the human breathing area and can reflect the indoor air quality and the influence degree of infiltration air. The total infiltration air volume is calculated by integrating the flow rates of all entrances and exits in the model to obtain the total infiltration air volume under different working conditions.

[0077] When the embodiments of the present application are implemented, the air-conditioning energy consumption calculation model can be partitioned based on the already calculated carbon dioxide distribution data. The significance of partitioning is that different positions are affected differently by infiltration air. For example, for the position of open doors and windows, it is more affected by infiltration air, which will be specifically manifested as the carbon dioxide concentration being closer to the outdoor carbon dioxide concentration. For the position deeper inside, it is less affected by infiltration air, which will be specifically manifested as a larger difference in carbon dioxide concentration from the outdoor carbon dioxide concentration.

[0078] In the embodiments of the present application, for mainstream air-conditioning energy consumption simulation software, the simulation of infiltration air is simplified through the unorganized infiltration air change rate. The change rate can be understood as the ratio of the total supply air volume to the space volume per unit time. When performing relevant simplifications for large spaces, it is difficult to accurately estimate the influence of infiltration air. Therefore, in the embodiments of the present application, the total infiltration air volume can be calculated through the CFD numerical simulation model, and then it can be converted into a more practical change rate for different types of partitions, thereby effectively improving the calculation accuracy. Since the converted change rates in the embodiments of the present application correspond to different working conditions, they can be input as dynamically changing parameters into the air-conditioning energy consumption calculation model for accurate annual air-conditioning energy consumption calculation.

[0079] In a possible implementation manner, the simulation calculation of the carbon dioxide distribution data and the total infiltration air volume includes:

[0080] The seasons are divided into summer, winter, and transitional seasons to form multiple season working conditions;

[0081] Obtain the outdoor temperature, solar radiation, wind speed and direction, and outdoor carbon dioxide concentration on a typical design day under different seasonal conditions as the outdoor weather parameters;

[0082] Set boundary conditions and calculation parameters for the CFD numerical simulation model through the outdoor weather parameters for simulation calculation;

[0083] Extract the total infiltration air volume in the calculation results as the total infiltration air volume under the corresponding seasonal conditions, and extract the carbon dioxide concentration at a height of 1.5 m above the ground surface in the calculation results as the carbon dioxide distribution data under the corresponding seasonal conditions.

[0084] When the embodiments of the present application are implemented, for each seasonal condition, outdoor temperature data on a typical design day can be collected, including temperature values at different times, accurate to degrees Celsius, to analyze the influence of diurnal temperature difference and seasonal variation on infiltration air; record the solar radiation intensity and direction, with the solar radiation intensity in W / m 2 as the unit, considering the difference in solar radiation received by enclosing structures in different orientations; collect wind speed and direction data, with the wind speed in m / s and the wind direction represented by angles or azimuths, to understand the outdoor wind environment under different weather conditions; obtain outdoor CO2 concentration data, in ppm as the unit, as the basis for calculating the difference in indoor CO2 concentration. Based on the above data, the boundary conditions and calculation parameters of the CFD numerical simulation model can be set and calculations can be performed; it should be understood that when constructing the CFD numerical simulation model through spatial structure information, corresponding boundary conditions and parameters have already been set, and the boundary conditions and parameters can be supplemented and / or updated through outdoor weather parameters.

[0085] In a possible implementation manner, the air-conditioning energy consumption calculation model is divided into multiple types of partitions according to the carbon dioxide distribution data, including:

[0086] Obtain the indoor carbon dioxide concentration at different positions according to the carbon dioxide distribution data;

[0087] Calculate the difference rate between the indoor carbon dioxide concentration and the outdoor carbon dioxide concentration, and divide the air-conditioning energy consumption calculation model into a high-impact area, a medium-impact area, and a low-impact area according to the difference rate.

[0088] In a possible implementation manner, the partition division includes:

[0089] Calculate the difference rate according to the following formula:

[0090]

[0091] In the formula, DR is the difference rate, C l is the indoor carbon dioxide concentration, C o is the outdoor carbon dioxide concentration;

[0092] Regard the area with the difference rate less than or equal to 20% as the high-impact area, the area with the difference rate greater than 20% and less than or equal to 50% as the medium-impact area, and the area with the difference rate greater than or equal to 50% as the low-impact area.

[0093] When the embodiment of the present application is implemented, during the process of zoning, the carbon dioxide concentration data on the plane at a height of 1.5 m above the ground is extracted, and the simulation results are post-processed to obtain the indoor carbon dioxide concentration at each grid point, and then the difference rate DR between the indoor carbon dioxide concentration and the outdoor CO2 concentration at each grid point is calculated. When the difference rate DR of each network point is known, the embodiment of the present application divides the area corresponding to the grid point into a high-impact area, a medium-impact area and a low-impact area by setting two thresholds of 20% and 50%. For example, when dividing the area, the boundaries of different areas can be marked on the CFD simulation result diagram to intuitively display the distribution of the influence of the infiltration wind, and then the zoning boundary can be finely adjusted in combination with the positions of the entrances and exits and the air supply outlets; specifically, the fine adjustment process includes: obtaining the positions of the main entrances and exits, and forming a high-impact initial area by presetting a range outward with the main entrance as the center; obtaining the position and the air supply direction of the air conditioner air supply outlet, and forming a low-impact initial area by extending a preset range in the air supply direction with the air conditioner air supply outlet as the center; merging the high-impact initial area into the high-impact area to form a new high-impact area, and merging the low-impact initial area into the low-impact area to form a new low-impact area; regarding the area that is neither the low-impact area nor the high-impact area in all areas as the medium-impact area. The main reason for such fine adjustment is that the area near the entrance and exit is the main area where the infiltration wind enters, and it must be the high-impact area; at the same time, due to the blocking and dilution effects of the air supply outlet on the infiltration wind, the area generated by the air conditioner air supply outlet along the air supply direction must be the low-impact area; and for the CDF model simulation, the grid calculation near the boundary is greatly affected by the boundary conditions, and the simulation calculation cannot be completely the same as the actual situation, so by setting the initial area in this way, the division accuracy of the high-impact area, the medium-impact area and the low-impact area can be effectively improved.

[0094] In a possible implementation manner, the calculation of the air change rate includes:

[0095] Calculating the average air change rate according to the total infiltration air volume under the current working condition;

[0096] Multiplying the average air change rate by a high-impact correction coefficient to form the air change rate in the high-impact area;

[0097] Regarding the average air change rate as the air change rate in the medium-impact area;

[0098] Deducting the ventilation influence of the high-impact area and the medium-impact area from the total infiltration air volume to form the air change rate in the low-impact area.

[0099] In a possible implementation, the calculation of the air change rate includes:

[0100] Calculate the average air change rate according to the following formula:

[0101]

[0102] In the formula, ACH mean is the average air change rate, V is the total infiltration air volume, S is the area of the target building, and H is the internal height of the target building;

[0103] Calculate the air change rate in the high-impact area according to the following formula:

[0104] ACH high = ACH mean × α

[0105] In the formula, ACH high is the air change rate in the high-impact area, and α is the high-impact correction factor with a value of 1.2 to 1.5;

[0106] Calculate the air change rate in the medium-impact area according to the following formula:

[0107] ACH medium = ACH mean

[0108] In the formula, ACH medium is the air change rate in the medium-impact area;

[0109] Calculate the air change rate in the low-impact area according to the following formula:

[0110]

[0111] In the formula, ACH low is the air change rate in the low-impact area, S high is the area of the high-impact area, S medium is the area of the medium-impact area, S low is the area of the low-impact area.

[0112] When the embodiments of the present application are implemented, it should be understood that the air change rates described in the embodiments of the present application are all unorganized infiltration air change rates; when converting the total infiltration air volume calculated by the CFD numerical simulation model into the air change rate required for air-conditioning energy consumption calculation, the inventor found that for the three impact zones of high impact zone, medium impact zone and low impact zone, the air change rates corresponding to the medium impact zone and high impact zone are relatively easy to obtain. The air change rate corresponding to the medium impact zone can be directly simplified to the average air change rate corresponding to the total infiltration air volume; while the high impact zone is generally close to the doors and windows, and the infiltration air generated by the doors and windows can be simplified and converted into the air change rate of the high impact zone through the corresponding conversion coefficient; the low impact zone is generally located in the middle of the building and the air-conditioning air supply outlets. The air change rate at the middle position of the building is easy to convert, while the air-conditioning air supply outlets are greatly affected by the air supply mode and air supply volume of the air conditioner, making it difficult to perform a relatively accurate conversion; therefore, in the embodiments of the present application, for the same target building, under the same working condition, its total infiltration air volume is fixed, so the infiltration air volume corresponding to the converted air change rate of the high impact zone and the medium impact zone can be deducted from the total infiltration air volume, and the remaining part is used as the infiltration air volume corresponding to the air change rate of the low impact zone, thereby realizing the estimation of the air change rate of the low impact zone and greatly simplifying the estimation difficulty of the air change rate.

[0113] In a possible implementation manner, calculating the annual air-conditioning energy consumption of the target building by the air-conditioning energy consumption calculation model according to the air change rate includes:

[0114] Arranging the air change rates corresponding to different seasons and working conditions of each partition in an annual cycle to form an air change rate sequence of the partition;

[0115] In the process of calculating the annual air-conditioning energy consumption by the air-conditioning energy consumption calculation model, the air change rate of each partition is assigned and adjusted through the air change rate sequence to complete the calculation.

[0116] When the embodiments of the present application are implemented, the partitioning and layering process of the air-conditioning energy consumption calculation model can be virtually divided by means of air walls, so that each partition can be calculated independently; in the calculation process, the air change rate of each partition is presented in the form of a time series. For the calculation of the annual cycle, its complete sequence should include the annual duration; specifically, according to the characteristics of different seasons and time periods, the air change rate time tables of each partition in summer, winter and transitional seasons are set respectively; considering the day-night difference and the differences between weekdays and rest days, the air change rate is dynamically adjusted to meet the actual use requirements; start the air-conditioning energy consumption calculation software, run the simulation calculation program, consider the annual outdoor meteorological data and indoor load changes, and calculate the annual air-conditioning energy consumption; output the calculation results, including information such as the annual total energy consumption, the energy consumption distribution in different seasons, and the energy consumption contribution of each partition, providing a basis for the energy-saving optimization of the air-conditioning system.

[0117] In a second aspect, the present application also provides a calculation system for air conditioning energy consumption in tall spaces simplified based on the influence of infiltration wind, including:

[0118] A modeling unit, configured to obtain the spatial structure information of a target building and construct a CFD numerical simulation model and an air conditioning energy consumption calculation model according to the spatial structure information;

[0119] A working condition unit, configured to construct multiple working conditions according to outdoor weather parameters in different seasons, and perform simulation calculations on the multiple working conditions through the CFD numerical simulation model to generate carbon dioxide distribution data and total infiltration air volume under different working conditions;

[0120] A partitioning unit, configured to divide the air conditioning energy consumption calculation model into multiple types of partitions according to the carbon dioxide distribution data; the partition types include high-influence areas, medium-influence areas, and low-influence areas;

[0121] A calculation unit, configured to calculate the air change rate of each type of partition under different working conditions according to the total infiltration air volume;

[0122] An energy consumption unit, configured to calculate the annual air conditioning energy consumption of the target building through the air conditioning energy consumption calculation model according to the air change rate.

[0123] In a possible implementation manner, the working condition unit is further configured to:

[0124] Divide seasons into summer, winter, and transitional seasons to form multiple seasonal working conditions;

[0125] Obtain the outdoor temperature, solar radiation, wind speed and direction, and outdoor carbon dioxide concentration on a typical design day of different seasonal working conditions as the outdoor weather parameters;

[0126] Set boundary conditions and calculation parameters for the CFD numerical simulation model through the outdoor weather parameters for simulation calculation;

[0127] Extract the total infiltration air volume in the calculation results as the total infiltration air volume of the corresponding seasonal working condition, and extract the carbon dioxide concentration at a height of 1.5 m above the ground surface in the calculation results as the carbon dioxide distribution data of the corresponding seasonal working condition.

[0128] In a possible implementation manner, the partitioning unit is further configured to:

[0129] Obtain the indoor carbon dioxide concentration at different positions according to the carbon dioxide distribution data;

[0130] Calculate the difference rate between the indoor carbon dioxide concentration and the outdoor carbon dioxide concentration, and divide the air conditioner energy consumption calculation model into a high-impact area, a medium-impact area, and a low-impact area according to the difference rate.

[0131] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0132] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed couplings or direct couplings or communication connections to each other can be indirect couplings or communication connections through some interfaces, devices, or units, and can also be in electrical, mechanical, or other forms of connection.

[0133] The units described as separate components may or may not be physically separated. Obviously, those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0134] In addition, the functional units in each embodiment of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0135] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a grid device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

[0136] The specific embodiments described above further elaborate on the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only the specific embodiments of the present invention and is not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A calculation method for air-conditioning energy consumption in large spaces simplified based on the influence of infiltration wind, characterized in that, Including: Obtain the spatial structure information of the target building, and construct a CFD numerical simulation model and an air-conditioning energy consumption calculation model according to the spatial structure information; Construct multiple working conditions according to the outdoor weather parameters in different seasons, and perform simulation calculations on the multiple working conditions through the CFD numerical simulation model to generate carbon dioxide distribution data and total infiltration air volume under different working conditions; Divide the air-conditioning energy consumption calculation model into multiple types of zones according to the carbon dioxide distribution data; the zone types include high-impact zones, medium-impact zones, and low-impact zones; Calculate the air change rate of each type of zone under different working conditions according to the total infiltration air volume; Calculate the annual air-conditioning energy consumption of the target building through the air-conditioning energy consumption calculation model according to the air change rate.

2. The method for calculating the air-conditioning energy consumption in large spaces simplified based on the influence of infiltration wind according to claim 1, wherein, The simulation calculations of the carbon dioxide distribution data and the total infiltration air volume include: Divide the seasons into summer, winter, and transitional seasons to form multiple seasonal working conditions; Obtain the outdoor temperature, solar radiation, wind speed and direction, and outdoor carbon dioxide concentration on the typical design days of different seasonal working conditions as the outdoor weather parameters; Set boundary conditions and calculation parameters for the CFD numerical simulation model through the outdoor weather parameters for simulation calculation; Extract the total infiltration air volume in the calculation results as the total infiltration air volume of the corresponding seasonal working condition, and extract the carbon dioxide concentration at a height of 1.5 m above the ground surface in the calculation results as the carbon dioxide distribution data of the corresponding seasonal working condition.

3. The method for calculating the air-conditioning energy consumption in a large space simplified based on the influence of infiltration wind according to claim 1, wherein, Dividing the air-conditioning energy consumption calculation model into multiple types of zones according to the carbon dioxide distribution data includes: Obtain the indoor carbon dioxide concentration at different positions according to the carbon dioxide distribution data; Calculate the difference rate between the indoor carbon dioxide concentration and the outdoor carbon dioxide concentration, and divide the air-conditioning energy consumption calculation model into high-impact zones, medium-impact zones, and low-impact zones according to the difference rate.

4. The method for calculating the air conditioning energy consumption in large spaces simplified based on the influence of infiltration wind according to claim 3, wherein, The division of zones includes: Calculate the difference rate according to the following formula: where DR is the difference rate, C l is the indoor carbon dioxide concentration, C o is the outdoor carbon dioxide concentration; Regard the zone with the difference rate less than or equal to 20% as the high-impact zone, the zone with the difference rate greater than 20% and less than or equal to 50% as the medium-impact zone, and the zone with the difference rate greater than or equal to 50% as the low-impact zone.

5. The method for calculating the air conditioning energy consumption in a large space simplified based on the influence of infiltration wind according to claim 3, wherein, The calculation of the air change rate includes: Calculate the average air change rate according to the total infiltration air volume of the current working condition; Multiply the average air change rate by the high-impact correction factor to form the air change rate of the high-impact zone; Take the average air change rate as the air change rate of the medium-impact zone; Deduct the air change influence of the high-impact zone and the medium-impact zone from the total infiltration air volume to form the air change rate of the low-impact zone.

6. The method for calculating the air conditioning energy consumption in large spaces simplified based on the influence of infiltration wind according to claim 5, wherein The calculation of the air change rate includes: Calculate the average air change rate according to the following formula: Wherein, ACH mean is the average number of air changes, V is the total infiltration air volume, S is the area of the target building, and H is the height inside the target building; Calculate the air change rate of the high-impact zone according to the following formula: ACH high = ACH mean × α Wherein, ACH high is the air change rate of the high impact area, and α is the high impact correction coefficient with a value of 1.2 to 1.5; Calculate the air change rate of the medium-impact zone according to the following formula: ACH medium = ACH mean where ACH medium is the air change rate in the middle influence zone; Calculate the air change rate of the low-impact zone according to the following formula: Where ACH low is the air change rate in the low-impact area, S high is the area of the high-impact area, S medium is the area of the medium-impact area, S low is the area of the low-impact area.

7. The method for calculating the air conditioning energy consumption in large spaces simplified based on the influence of infiltration wind according to claim 5, characterized in that Calculating the annual air-conditioning energy consumption of the target building through the air-conditioning energy consumption calculation model according to the air change rate includes: Arrange the air change rates of each zone corresponding to different seasons in the annual cycle to form the air change rate sequence of the zone; In the process of calculating the annual air-conditioning energy consumption through the air-conditioning energy consumption calculation model, the air change rate of each zone is assigned and adjusted through the air change rate sequence to complete the calculation.

8. A large-space air-conditioning energy consumption calculation system simplified based on the influence of infiltration wind, characterized in that Including: A modeling unit, configured to obtain spatial structure information of a target building and construct a CFD numerical simulation model and an air-conditioning energy consumption calculation model according to the spatial structure information; A working condition unit, configured to construct multiple working conditions according to outdoor weather parameters in different seasons, and perform simulation calculations on the multiple working conditions through the CFD numerical simulation model to generate carbon dioxide distribution data and total infiltration air volume under different working conditions; A partitioning unit, configured to partition the air-conditioning energy consumption calculation model into multiple types of partitions according to the carbon dioxide distribution data; the partition types include high-impact areas, medium-impact areas, and low-impact areas; A calculation unit, configured to calculate the air change rate of each type of partition under different working conditions according to the total infiltration air volume; An energy consumption unit, configured to calculate the annual air-conditioning energy consumption of the target building through the air-conditioning energy consumption calculation model according to the air change rate.

9. The tall space air conditioning energy consumption calculation system simplified based on the influence of infiltration wind according to claim 8, characterized in that, The working condition unit is further configured to: Divide the seasons into summer, winter, and transitional seasons to form multiple season working conditions; Obtain the outdoor temperature, solar radiation, wind speed and direction, and outdoor carbon dioxide concentration on typical design days of different season working conditions as the outdoor weather parameters; Set boundary conditions and calculation parameters for the CFD numerical simulation model through the outdoor weather parameters for simulation calculations; Extract the total infiltration air volume in the calculation results as the total infiltration air volume of the corresponding season working condition, and extract the carbon dioxide concentration at a height of 1.5 m above the ground surface in the calculation results as the carbon dioxide distribution data of the corresponding season working condition.

10. The tall space air-conditioning energy consumption calculation system simplified based on the influence of infiltration wind according to claim 8, characterized in that, The partitioning unit is further configured to: Obtain the indoor carbon dioxide concentration at different positions according to the carbon dioxide distribution data; Calculate the difference rate between the indoor carbon dioxide concentration and the outdoor carbon dioxide concentration, and partition the air-conditioning energy consumption calculation model into high-impact areas, medium-impact areas, and low-impact areas according to the difference rate.

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