An optimization method for air volume compensation and balance adjustment of a variable air volume air conditioning system

Abstract

The application provides a kind of variable air volume air conditioning system air volume compensation and balance adjustment optimization method, belong to variable air volume air conditioning system technical field, the method includes: based on the change parameter and the pre-defined attribute parameter, generate air volume compensation model;Based on air volume compensation model, the opening of corresponding room end air valve and the total air supply of variable air volume air conditioning system change parameter, the air supply variation range of corresponding room is calculated;If the demand air volume of corresponding room exceeds the air supply variation range of corresponding room, based on optimization goal, the corresponding air volume compromise strategy is used.Compared with the prior art, the application can automatically calculate the air supply variation range of each room according to the air parameters of each room, ensure that the air supply of each variable air volume end room changes near the demand air volume, make the air supply distribution of the whole variable air volume air conditioning system relatively uniform, improve the comfort of each end room while reducing energy consumption.

Description

Technical Field

[0001] This invention belongs to the technical field of variable air volume (VAV) air conditioning systems, specifically relating to an optimization method for air volume compensation and balance adjustment in VAV air conditioning systems. Background Technology

[0002] A variable air volume (VAV) air conditioning system is a type of all-air system that adjusts the indoor air load or required indoor air parameters by changing the supply air volume, thereby ensuring that the indoor air load or parameters meet the requirements.

[0003] Existing variable air volume (VAV) air conditioning systems primarily regulate air parameters in multiple rooms through multiple terminal air valves. These systems typically incorporate PID control algorithms. These algorithms first calculate the required air volume based on the deviation between the actual indoor temperature and the setpoint, and then adjust the opening of each terminal air valve accordingly. However, the built-in algorithms in existing VAV systems use only a single control parameter, resulting in low accuracy and difficulty in precisely controlling the opening of the terminal air valves. In VAV systems, rooms closer to the fan often reach their preset air volume requirements first. Under the constraint of limited terminal air valve openings, rooms farther from the fan may not reach their preset air volume requirements, leading to uneven air volume distribution among the terminal rooms. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an optimized method for air volume compensation and balance adjustment in a variable air volume (VAV) air conditioning system.

[0005] To achieve the above objectives, the present invention provides an optimization method for air volume compensation and balance adjustment of a variable air volume (VAV) air conditioning system, comprising:

[0006] A wind volume compensation model is generated based on the changing parameters and predefined attribute parameters.

[0007] Based on the air volume compensation model, the opening degree of the corresponding room terminal air valve, and the total air volume change parameters of the variable air volume air conditioning system, the range of air volume change for the corresponding room is calculated.

[0008] If the required air volume for a corresponding room exceeds the range of changes in the supplied air volume for that room, a corresponding air volume compromise strategy will be adopted based on the optimization objective.

[0009] Preferably, the changing parameter includes at least the change in air volume demand c of the nth room. n +Δc; The attribute parameters include at least the total number of rooms m and the upper bound of the required air volume for the nth room. The lower bound of the required airflow for the nth room Lower limit of room terminal air valve opening λ infThe upper limit of the opening degree λ of the air valve at the end of the room sup The required air volume c for the nth room n The total air volume Q; the generation of the air volume compensation model based on the changing parameters and predefined attribute parameters includes:

[0010] The initial state for generating the air volume compensation model is:

[0011] F(c1, c2, ..., c m )=0,m≥n (1)

[0012] Based on predefined attribute parameters and the air volume demand change of the nth room The process of updating the air volume compensation model is as follows:

[0013] F(c1, c2, ..., c n +Δc, c m )=0 (2)

[0014] At the same time,

[0015]

[0016]

[0017] R1 = Q (5)

[0018] R n =R n-1 -c n-1 , n>0 (6)

[0019]

[0020] f n (c1, c2, ..., c m )=ε(λ inf -λ n )+ε(λ n -λ sup (8)

[0021] Where, λ n f represents the actual opening degree of the terminal air valve in the nth room. n Let F(c1, c2, ..., c n Range constraints, R n Let represent the remaining air volume of the nth room, ε(t) be the step function, K be the flow coefficient of the terminal damper, maxΔc refer to the maximum value of the change in the required air volume of the nth room, and minΔc refer to the minimum value of the change in the required air volume of the nth room.

[0022] The ε(t) is defined as:

[0023]

[0024] Based on the relational expressions (1)-(9), the air volume compensation model is generated as follows:

[0025]

[0026] Preferably, calculating the change range of the air supply volume of the corresponding room based on the air volume compensation model, the opening degree of the air valve at the end of the corresponding room, and the total air supply volume change parameter of the variable air volume air conditioning system includes:

[0027] Set the initial opening degree of the opening degree of the air valve at the end of the corresponding room as λ p ;

[0028] Based on the air volume compensation model and the total air supply volume change parameter Δc of the variable air volume air conditioning system, calculate the opening degree of the air valve at the end of the corresponding room after the total air volume of the system changes

[0029] Assign the lower limit λ of the opening degree of the air valve at the end of the room inf and the upper limit λ of the opening degree sup as

[0030] Based on the air volume compensation model, substitute the lower limit λ of the opening degree of the air valve at the end of the room inf and the upper limit λ of the opening degree sup into the corresponding relational expression, and calculate the change range of the air supply volume of the corresponding room.

[0031] Preferably, calculating the opening degree of the air valve at the end of the corresponding room based on the air volume compensation model and the total air supply volume change parameter Δc of the variable air volume air conditioning system includes:

[0032] If p < n, the relational expression of the opening degree of the air valve at the end of the corresponding room is defined as:

[0033]

[0034]

[0035] where, Δc p is the change parameter of the pth room;

[0036] If p = n, the relational expression of the opening degree of the air valve at the end of the corresponding room is defined as:

[0037]

[0038]

[0039]

[0040] in, To correspond to the required air volume of the room after the total air supply volume of the variable air volume air conditioning system changes;

[0041] If p > n, the opening degree of the corresponding room terminal air valve The relation is:

[0042]

[0043] Preferably, based on the airflow compensation model, the lower limit λ of the room terminal air valve opening is set. inf and upper limit of opening λ sup Substituting into the corresponding formula, the range of air supply volume variation for the corresponding room is calculated as follows:

[0044] Based on the aforementioned airflow compensation model, the lower limit of the opening λ is... inf Substituting the relationships of the first n-1 rooms, the upper limit of the opening λ is... sup Substituting the formula for the nth room, we can find the minimum value as the upper bound of the required air volume for the nth room.

[0045] Based on the aforementioned airflow compensation model, the upper limit of the opening λ is... sup Substituting the relationships of the first n-1 rooms, the lower limit of the opening λ is... inf Substituting the formula for the nth room, we can find the lower bound of the required air volume for the nth room.

[0046] Preferably, the minimum value is the upper bound of the required air volume for the nth room. The relation is:

[0047]

[0048] Preferably, the maximum value is the lower bound of the required air volume for the nth room. The relation is:

[0049]

[0050] Preferably, the optimization objectives include at least energy consumption indicators and the new set air volume c for each room. m The equilibrium state q of each room m And the balance state q of each room m The total difference, if the required air volume of a corresponding room exceeds the range of changes in the supplied air volume of the corresponding room, based on the optimization objective, adopts the following corresponding air volume compromise strategies:

[0051] If the required air volume of multiple rooms exceeds the range of air supply volume variation, the objective function z is obtained based on the optimization objective;

[0052] Solve for the z-partial derivatives of the objective function for multiple rooms;

[0053] Based on the initialization time step h, the set air volume of the room with the largest partial derivative value is changed until the air volume of all rooms is within the range of the air volume change.

[0054] Preferably, if the required air volume of multiple rooms exceeds the range of changes in the supplied air volume, the objective function z, based on the optimization objective, includes:

[0055] If the new set air supply volume for each room and the balance state q of each room are determined... m As the optimization objective, the objective function z is:

[0056]

[0057] Where w1 + w2 = 1.

[0058] Preferably, if the new set air volume for each room and the balance state q of each room are determined... m As an optimization objective, each optimization objective is normalized before solving for the partial derivatives of the objective function z of multiple rooms.

[0059] Compared with the prior art, the present invention has at least the following advantages:

[0060] This invention discloses an optimization method for airflow compensation and balance adjustment in a variable air volume (VAV) air conditioning system, which can automatically and accurately calculate the upper limit of airflow for each terminal air valve based on the air parameters of each room. Lower limit of air volume This ensures that the air supply volume in each variable air volume terminal room varies around the required air volume, making the air supply volume distribution of the entire variable air volume air conditioning system relatively uniform, improving the comfort of each terminal room while reducing energy consumption. Attached Figure Description

[0061] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0062] Figure 1 This is a schematic diagram of a variable air volume (VAV) air conditioning system in the prior art;

[0063] Figure 2This is a flowchart of the optimization method for air volume compensation and balance adjustment of a variable air volume air conditioning system in an embodiment of the present invention;

[0064] Figure 3 This is a partial flowchart of step S3 in the optimization method for air volume compensation and balance adjustment of a variable air volume air conditioning system in an embodiment of the present invention. Detailed Implementation

[0065] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0066] In the description of this invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0067] like Figure 1 As shown, existing variable air volume (VAV) air conditioning systems mainly consist of a central control unit and multiple terminal air valves. The central control unit can be a programmable device such as a computer, microcontroller, or PLC. These systems primarily regulate air parameters in multiple rooms through these terminal air valves, typically incorporating a built-in PID control algorithm. This algorithm first calculates the required air volume based on the deviation between the actual indoor temperature and the set value, then adjusts the opening of each terminal air valve according to the required air volume. However, this built-in algorithm uses only a single control parameter, resulting in low accuracy and difficulty in precisely controlling the opening of the terminal air valves. In a VAV air conditioning system, rooms closer to the fan often reach their preset air volume first, while rooms farther from the fan may not reach their preset air volume due to the limitations of the terminal air valve openings, leading to uneven air volume distribution among the terminal rooms.

[0068] To address the problems existing in the prior art, this embodiment discloses an optimization method for air volume compensation and balance adjustment of a variable air volume (VAV) air conditioning system, which is applied to existing VAV air conditioning systems.

[0069] Reference Figure 2 An optimization method for air volume compensation and balance regulation in a variable air volume (VAV) air conditioning system includes:

[0070] S1: Generate an air volume compensation model based on varying parameters and predefined attribute parameters.

[0071] Among them, the changing parameters include at least the change in the required air volume c of the nth room. n +Δc, the attribute parameters must include at least the total number of rooms m and the upper bound of the required airflow for the nth room. The lower bound of the required airflow for the nth room Lower limit of room terminal air valve opening λ inf The upper limit of the opening degree λ of the air valve at the end of the room sup The required air volume c for the nth room n Total air volume Q.

[0072] Step S1 includes:

[0073] S11: The initial state for generating the air volume compensation model is:

[0074] F(c1, c2, ..., c m )=0,m≥n (1)

[0075] It should be noted that F in relation (1) is the system discriminant function.

[0076] S12: Based on predefined attribute parameters and the air volume demand change of the nth room. The process of updating the air volume compensation model is as follows:

[0077] F(c1, c2, ..., c n +Δc, c m )=0 (2)

[0078] It should be noted that when the air volume demand of the nth room changes by c n When the total air volume Q changes to Q+Δc, the discriminant function F of the variable air volume air conditioning system can also remain in equilibrium, i.e., F(c1, c2, ..., c...). n +Δc, c m The condition ) = 0 holds true, and in this state... and

[0079] S13: Simultaneously,

[0080]

[0081]

[0082] R1 = Q (5)

[0083] R n =R n-1 -c n-1 , n>0 (6)

[0084]

[0085] f n (c1, c2, ..., c m )=ε(λ inf -λ n )+ε(λ n -λ sup (8)

[0086] Where, λ n f represents the actual opening degree of the terminal air valve in the nth room. n Let F(c1, c2, ..., c n Range constraints, R n Let represent the remaining air volume of the nth room, ε(t) be the step function, K be the flow coefficient of the terminal damper, maxΔc be the maximum value of the change in the required air volume of the nth room, and minΔc be the minimum value of the change in the required air volume of the nth room.

[0087] Specifically, by using the system discriminant function F(c1, c2, ..., c n +Δc, c m The calculation of room opening is decomposed into m-1 formulas and their range constraints f. n (c1, c2, ..., c m To define the function R n Let Q be the remaining air volume before the nth room, i.e., the relationship (5)-(6); based on the flow coefficient of the terminal damper and the required air volume c of the nth room. n This allows us to calculate the current actual opening degree λ of the terminal air valve in the nth room. n That is, relation (7).

[0088] S14: The ε(t) is defined as:

[0089]

[0090] S15: Based on relations (1)-(9), the air volume compensation model is generated as follows:

[0091]

[0092] Through the above steps S11-S15, the air volume compensation model can be generated. Compared with the prior art, the air volume compensation model of the present invention takes into account the influence of the range of change of the terminal air valve opening, the influence of the range of change of the required air volume, and the influence of the change of the supply air volume on the opening of each room. Compared with the prior art, the model has strong adaptability and high stability.

[0093] Following step S1 above, the method of the present invention further includes:

[0094] S2: Calculate the air supply volume change range of the corresponding room based on the air volume compensation model, the opening degree of the air valve at the end of the corresponding room, and the total air supply volume change parameter of the variable air volume air conditioning system.

[0095] Among them, step S2 includes:

[0096] S21: Set the initial opening degree of the air valve at the end of the corresponding room to λ p ;

[0097] S22: Calculate the opening degree of the air valve at the end of the corresponding room after the total air volume of the system changes based on the air volume compensation model and the total air supply volume change parameter Δc of the variable air volume air conditioning system.

[0098] S23: Assign the lower opening limit λ inf and the upper opening limit λ sup of the air valve at the end of the room.

[0099] S24: Based on the air volume compensation model, substitute the lower opening limit λ inf and the upper opening limit λ sup of the air valve at the end of the room into the corresponding relational expression, and calculate the air supply volume change range of the corresponding room.

[0100] Among them, step S22 includes:

[0101] S221: If p < n, the relational expression of the opening degree of the air valve at the end of the corresponding room is defined as:

[0102]

[0103]

[0104] Among them, Δc p is the change parameter of the pth room. The pth room can be any room where the load may change dynamically, which can be a personnel room or an equipment room (for example, the equipment room in the subway, and the heat generation amount is different at different time periods).

[0105] S222: If p = n, the relational expression of the opening degree of the air valve at the end of the corresponding room is defined as:

[0106]

[0107]

[0108]

[0109] Among them, This is to determine the required air volume for the room after the total air supply volume of the variable air volume air conditioning system changes.

[0110] S223: If p>n, the opening degree of the corresponding room terminal air valve The relation is:

[0111]

[0112] Step S24 includes:

[0113] S241: Based on the air volume compensation model, the lower limit of the opening λ is... inf Substituting the relationships of the first n-1 rooms, we can set the upper limit of the opening λ. sup Substituting the formula for the nth room, we can find the minimum value as the upper bound of the required air volume for the nth room.

[0114] Specifically, the solution formula for step S241 is as follows:

[0115]

[0116] S242: Based on the air volume compensation model, the upper limit of the opening λ is set... sup Substituting the relationships of the first n-1 rooms, we can lower the opening limit λ. inf Substituting the formula for the nth room, we can find the lower bound of the required air volume for the nth room.

[0117] Specifically, the solution formula for step S242 is as follows:

[0118]

[0119] Specifically, the results obtained by solving relations (17) and (18) and This allows the range of airflow variation for the corresponding room to be defined as follows:

[0120] S3: If the required air volume for a corresponding room exceeds the range of air supply volume changes for that room, a corresponding air volume compromise strategy will be adopted based on the optimization objective.

[0121] The optimization objectives include at least energy consumption indicators and the new set air volume c for each room. m The equilibrium state q of each room m And the balance state q of each room m The total difference.

[0122] Optionally, the airflow compromise strategy can be formulated in the following three ways:

[0123] Method 1: When making compromises, prioritize energy conservation and consumption reduction as the optimization goal;

[0124] Method 2: Using newly set air volume c1, c2, ..., c m And the equilibrium states q1, q2, ..., q after the compromise strategy. m The total difference is used as the optimization objective;

[0125] Method 3: Use a specific indicator, such as KL divergence, norm, Mahalanobis distance, mean square error, and significance analysis, to measure the new set air volume c1, c2, ..., c m And the equilibrium states q1, q2, ..., q after the compromise strategy. m The error between them is used as the optimization objective.

[0126] Step S3 includes:

[0127] S31: If the air volume demand of multiple rooms exceeds the range of air volume variation, the objective function is obtained based on the optimization objective.

[0128] Specifically, if the new set air volume for each room and the balance state q of each room are determined... m As the optimization objective, the objective function z is:

[0129]

[0130] Where w1 + w2 = 1.

[0131] In this embodiment, after step S31, a new set air supply volume c for each room also needs to be configured. m And the equilibrium state q of each room m The normalization process is performed using the following formula:

[0132]

[0133]

[0134] Among them, c n 'and q n All values ​​are normalized.

[0135] It should be noted that the purpose of normalization is to evaluate the "error" of the compensation balance adjustment, that is, the deviation between the air volume after the system compensation balance adjustment and the actual required air volume.

[0136] Among them, such as Figure 3 As shown, step S3 further includes:

[0137] S32: Solve for the z-partial derivatives of the objective function for multiple rooms.

[0138] Specifically, the calculation formula for step S32 is as follows:

[0139]

[0140] In this embodiment, c n 'and q n Substitute the values ​​into the function z to solve for the partial derivatives of the objective function z for multiple rooms. After obtaining the partial derivatives of the objective function z for multiple rooms, it is necessary to arrange all the partial derivatives in ascending order.

[0141] It should be noted that the z-partial derivative of the objective function can be used as the relative error coefficient of the final output, and can be widely applied to various situations of balancing and adjusting the air supply volume.

[0142] After step S32, step S3 further includes:

[0143] S33: Based on the initialization time step h, change the set air volume of the room with the largest partial derivative value until the air volume of all rooms is within the range of the air volume change.

[0144] Step S33 includes:

[0145] S331: Based on the initialization time step h, change the set air volume of the room with the largest partial derivative value;

[0146] S332: Determine whether the air supply volume of all rooms is within the range of air supply volume variation;

[0147] S333: If so, output the optimization result;

[0148] S334: If not, return to step S331.

[0149] It should be noted that the optimization result output by step S333 above is RMSE, which is the root mean square error, used to evaluate the stability of the difference between the required air volume and the supplied air volume in each room. If this value is small, it indicates that the compensation balance adjustment effect is good.

[0150] Compared with existing technologies, this invention proposes an optimization method for air volume compensation and balance adjustment of variable air volume (VAV) air conditioning systems. By establishing an air volume compensation model and an air volume compromise strategy, it provides upper and lower bounds for the air volume changes in each VAV terminal room, effectively ensuring that the air supply volume of each VAV terminal room varies near the required air volume. At the same time, it makes the air supply volume distribution of the entire VAV air conditioning system relatively uniform, improving the comfort of each terminal room while reducing energy consumption.

[0151] For those skilled in the art, various other corresponding changes and modifications can be made based on the technical solutions and concepts described above, and all such changes and modifications should fall within the protection scope of the claims of this invention.

Claims

1. An optimization method for air volume compensation and balance adjustment in a variable air volume (VAV) air conditioning system, characterized in that, include: A wind volume compensation model is generated based on the changing parameters and predefined attribute parameters; The changing parameters include at least the first Changes in airflow demand in each room The attribute parameters include at least the total number of rooms. , No. Upper limit of air volume required for each room , No. Lower limit of air volume required for a room Lower limit of room terminal air valve opening Upper limit of the opening degree of the air valve at the end of the room , No. The required air volume for each room Total air volume The generation of the air volume compensation model based on the changing parameters and predefined attribute parameters includes: The initial state for generating the air volume compensation model is: （1） Based on predefined attribute parameters and the first Changes in airflow demand in each room The process of updating the air volume compensation model is as follows: （2） At the same time, （3） （4） （5） （6） （7） （8） in, For the first The actual opening degree of the air valve at the end of each room for The range constraints For the first The remaining air volume in each room, Here, Δc is the step function, K is the flow coefficient of the terminal damper, maxΔc refers to the maximum value of the change in air volume demand in the nth room, and minΔc refers to the minimum value of the change in air volume demand in the nth room. The Defined as: （9） Based on relations (1)-(9), the air volume compensation model is generated as follows: （10） Based on the air volume compensation model, the opening degree of the corresponding room terminal air valve, and the total air volume change parameters of the variable air volume air conditioning system, the range of air volume change for the corresponding room is calculated. If the required air volume for a corresponding room exceeds the range of changes in the supplied air volume for that room, a corresponding air volume compromise strategy will be adopted based on the optimization objective.

2. The optimization method for air volume compensation and balance adjustment of a variable air volume air conditioning system according to claim 1, characterized in that, Based on the air volume compensation model, the opening degree of the corresponding room terminal air valve, and the total air volume variation parameters of the variable air volume air conditioning system, the calculated range of air volume variation for the corresponding room includes: Set the initial opening degree of the corresponding room terminal air valve to . ; Based on the aforementioned air volume compensation model and the total air volume variation parameters of the variable air volume air conditioning system The opening degree of the terminal air valve in the room is calculated after the change in the total air volume of the system. ; Lower limit of room terminal air valve opening and maximum opening Assigned value ; Based on the aforementioned airflow compensation model, the lower limit of the opening of the room terminal air valve is set. and maximum opening Substitute the corresponding formulas to calculate the range of air volume variation for the corresponding room.

3. The optimization method for air volume compensation and balance adjustment of a variable air volume air conditioning system according to claim 2, characterized in that, The total air volume variation parameters based on the air volume compensation model and the variable air volume air conditioning system The opening degree of the corresponding room's terminal air valve is calculated. include: like The opening degree of the corresponding room's terminal air valve The relation is defined as: （11） （12） in, Let the parameters be the variation parameters of the p-th room; like The opening degree of the corresponding room's terminal air valve The relation is defined as: （13） （14） （15） in, To correspond to the required air volume of the room after the total air supply volume of the variable air volume air conditioning system changes; like The opening degree of the corresponding room's terminal air valve The relation is: 1 （16）。 4. The optimization method for air volume compensation and balance adjustment of a variable air volume air conditioning system according to claim 3, characterized in that, Based on the aforementioned airflow compensation model, the lower limit of the opening of the room terminal air valve is set. and maximum opening Substituting into the corresponding formula, the range of air supply volume variation for the corresponding room is calculated as follows: Based on the aforementioned airflow compensation model, the lower limit of the opening is... Before substitution The relationship between the rooms, including the upper limit of the opening. Substitute the first The relationship between the rooms is used to find the minimum value of the equation for the first room. Upper limit of air volume required for each room ; Based on the aforementioned airflow compensation model, the upper limit of the opening degree is... Before substitution The relationship between the rooms, the lower limit of the opening Substitute the first The relationship between the rooms is solved to find the maximum value of the i-th room. Lower limit of air volume required for a room .

5. The optimization method for air volume compensation and balance adjustment of a variable air volume air conditioning system according to claim 4, characterized in that, The minimum value of the solution is the first... Upper limit of air volume required for each room The relation is: （17）。 6. The optimization method for air volume compensation and balance adjustment of a variable air volume air conditioning system according to claim 4, characterized in that, The maximum value obtained is the first... Lower limit of air volume required for a room The relation is: （18）。 7. The optimization method for air volume compensation and balance adjustment of a variable air volume air conditioning system according to claim 1, characterized in that, The optimization objectives include at least energy consumption indicators and new set air supply volumes for each room. Balance status of each room Balance of each room The total difference, if the required air volume of a corresponding room exceeds the range of changes in the supplied air volume of the corresponding room, based on the optimization objective, adopts the following corresponding air volume compromise strategies: If the air volume demand of multiple rooms exceeds the range of air supply volume variation, an objective function is obtained based on the optimization objective. ; Solving the objective function for multiple rooms Partial derivative value; Based on the initialization time step h, the set air volume of the room with the largest partial derivative value is changed until the air volume of all rooms is within the range of the air volume change.

8. The optimization method for air volume compensation and balance adjustment of a variable air volume air conditioning system according to claim 7, characterized in that, If the required air volume of multiple rooms exceeds the range of changes in the supplied air volume, an objective function is obtained based on the optimization objective. include: If the new set air volume for each room and the balance status of each room are determined... As the optimization objective, the objective function for: in, .

9. The optimization method for air volume compensation and balance adjustment of a variable air volume air conditioning system according to claim 8, characterized in that, If the new set air volume for each room and the balance status of each room are determined... As the optimization objective, the objective function for solving multiple rooms is... Before calculating the partial derivatives, the optimization objectives are normalized.

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