JP5502513B2 - Air conditioning simulator - Google Patents

Description

  The present invention relates to an air conditioning simulator that uses computer resources to simulate changes in the air conditioning state over time in an air-conditioned facility that has been air-conditioned.

  An input unit for inputting instructions / operations, a component storage unit storing components for configuring the simulation target air conditioning system, and a component take-out for extracting a desired component from the component storage unit according to instructions input from the input unit Component, a component placement memory for storing the component extracted by the component take-out unit in a state where the component is placed at the position of the instruction input from the input unit, and a component input to the component placement memory according to the instruction input from the input unit Stored in the component placement editing section that changes the layout and its status, the component connection section that connects components placed in the component placement memory, and the component storage section according to the instructions input from the input section Component block information storage unit storing block information corresponding to each component, and each component connected and arranged in a component arrangement memory based on an instruction input from the input unit based on information in the component block information storage unit Block hierarchization unit that blocks components, and simulation data generation that is stored in the component placement memory and that can be used in the simulator for the state of the simulation target air conditioning equipment that has been blocked by placing and connecting components There is an air conditioning simulation support system including a display unit that displays a block state in which components are arranged and connected, and a display control unit that controls display of the display unit (see Patent Document 1).

  This air-conditioning simulation support system, when performing air-conditioning simulation of a component subject to air-conditioning simulation, displays the data to be simulated in a format that can be handled by this simulator. Even if you are not familiar with these relationships, you can do it without mistakes.

JP-A-8-61742

  The air conditioning simulation support system disclosed in the above publication can perform modeling of a simulation target component and its correction work even if the relationship between components is not well known. However, in the modeled simulation target component, when a certain value of data that affects air conditioning changes over time, it is not possible to simulate the temporal change of other values of that data. It is impossible to judge the validity of the air conditioning design, such as whether the air conditioning design is correct, whether the air conditioning design needs to be improved, or whether the air conditioning design needs to be modified.

  Although there is a simulation method using the pipe network analysis method, the conventional simulation method using the pipe network analysis method calculates the pressure change in the duct system or the piping system and the thermal dynamic characteristics between the rooms. Calculations are made, but calculations are not made for rooms that are highly airtight, such as clean rooms and biohazard rooms, where slight fluctuations in room pressure are a problem.

  It is an object of the present invention to simulate temporal changes in other values of data when a certain value of data affecting air conditioning changes with time, and to design the air conditioning in a facility that has been air-conditioned. Another object of the present invention is to provide an air conditioning simulator that can determine the validity of control operation settings. In particular, an object is to provide an air conditioning simulator capable of judging the validity of air conditioning design and control operation settings in a highly airtight room such as a clean room or a biohazard room.

  The premise of the present invention for solving the above problems is an air conditioning simulator that uses computer resources to simulate changes in the air conditioning state in a facility that has been air conditioned.

The facility has a room having a door, an air supply duct connected to the room for carrying air into the room, an exhaust duct connected to the room for carrying air to the outside, and an air supply duct for supplying air to the room. An air supply simulator, an exhaust fan that exhausts air from the room using an exhaust duct, and an air conditioning control device installed in at least one of the air supply and exhaust ducts. to model the become facilities, modeled the duct route data and to employ a duct resistance coefficient (K), modeled air leakage area of the chamber as the chamber of the air leakage data in property supply and exhaust ducts in the facility while adopting the (a), as the supply and exhaust fan of the equipment characteristic data in facilities that modeled adopted supply and exhaust fan static pressure (Pf), the formula 1: ΔP = 1/2 · K · ρ · v ^{2 (ΔP} is duct Friction resistance (Pa), ρ is air density (kg ^{/ m} 3), v is the wind speed (m / s)), Equation 2: dPri, j = 1/ 2 · ζ · ρ · (Qleak / A) n (dPri , J is the pressure difference between the adjacent chambers i and j: Pri-Prj (Pa), ζ is the coefficient (1), Qleak is the amount of air leaked between the chambers = supply air amount−exhaust air amount, and A is between the chambers. Air flow area, n is a constant (1.3)), Equation 3: dPopen + ΔP = Pf (dPopen is the pressure difference between the inlet and outlet of the duct: Pr-Po (Pa), Po is the reference pressure) There are ΔP, v, and Pr in the equations corresponding to the temporal change in the air flow area (A) of the chamber that satisfies the equations and is affected by the opening data of the door that changes with time. to simulate the temporal change of the other values of the ΔP and v and Pr when the value changes temporally That.

As an example of the present invention, an air conditioning control device is installed in at least one of the air supply and exhaust ducts, and is installed in at least one of the air supply and exhaust ducts. is includes an adjustable pressure control damper the amount of air passing through the duct, the duct path data, and the duct member data to determine the air passage performance of intake and exhaust ducts, the control performance of the controller for controlling the air-conditioning control device including determining a controller first characteristic data, and a damper first characteristic data to determine the performance of the pressure control damper.

  As another example of the present invention, the air conditioning control device includes an air volume adjustment damper installed in at least one of the air supply and exhaust ducts, and the duct path data includes damper second characteristic data that determines the performance of the air volume adjustment damper. Including.

  As another example of the present invention, the duct route data includes controller second characteristic data that determines the control performance of the controller that controls the rotation speed of the supply / exhaust fan.

  As another example of the present invention, ΔP and v of the equations corresponding to the temporal change data representing the temporal change of the value in which the temporal change of the three equations is determined in advance by the air conditioning simulator. A temporal change with Pr is simulated.

  As another example of the present invention, the duct resistance coefficient (K) in which the time-varying data includes the target value data of the air conditioning control device that changes with time, and the air conditioning simulator is affected by the target value data of the air conditioning control device. The temporal changes of ΔP, v, and Pr are simulated in correspondence with the temporal changes of.

  As another example of the present invention, the time change data includes the rotation speed data of the supply / exhaust fan that changes with time, and the static pressure (Pf) of the supply / exhaust fan affected by the rotation speed data of the supply / exhaust fan is influenced by the air conditioning simulator. ) To simulate temporal changes in ΔP, v, and Pr.

  As another example of the present invention, the time difference data includes outdoor air pressure data that changes with time, and the pressure difference (dPopen) time between the inlet and outlet of the duct that the air conditioning simulator is affected by the outdoor air pressure data. The temporal changes in ΔP, v, and Pr are simulated in response to the local changes.

  As another example of the present invention, an air conditioning simulator displays a temporal change in a value to be simulated in a graph.

  According to the air conditioning simulator according to the present invention, the facility to be simulated is modeled, and based on the duct route data of the air supply / exhaust duct, the air leakage data of the room, and the device characteristic data of the air supply / exhaust fan in the modeled facility. Because, when a certain value of those data changes over time, the time change of other values of those data is simulated, a certain value of data affecting air conditioning in the modeled facility It is necessary to improve the air conditioning design and control operation settings of the modeled facility, whether the air conditioning design and control operation settings are correct in the modeled facility. In addition, it is possible to determine the validity of air conditioning design and control operation settings in a modeled facility such as whether the air conditioning design and control operation settings need to be changed. When an air conditioning simulator improves or changes the air conditioning design or control operation settings in a modeled facility, the value of other data that affects the air conditioning at that facility changes over time. By simulating changes over time, it is possible to determine the validity of the air conditioning design and control operation settings in a facility where the air conditioning design and control operation settings have been improved or changed many times. An air-conditioning state can be established. The air conditioning simulator simulates the temporal change of other values of each data when the value of each data changes with time, especially in a very airtight room such as a clean room or biohazard room. Therefore, it is possible to determine the validity of the air conditioning design and control operation setting in a very airtight room.

The air conditioning simulator adopts the duct resistance coefficient (K) as the duct route data of the air supply / exhaust duct, uses the air leakage area (A) of the room as the air leakage data of the room, and supplies it as the equipment characteristic data of the air supply / exhaust fan. Adopting static pressure (Pf) of the exhaust fan, Formula 1: ΔP = 1/2 · K · ρ · v ² (ΔP is duct friction resistance (Pa), ρ is air density (kg / m ³ ), v is Wind speed (m / s)), Formula 2: dPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ (dPri, j is a pressure difference between adjacent chambers i and j: Pri−Prj ( Pa), ζ is a coefficient (1), Qleak is the amount of air leaked between the chambers = supply air amount−exhaust air amount, A is the air flow area between the chambers, and n is a constant (1.3)), Equation 3: dPopen + ΔP = Pf (dPopen is the pressure difference between the inlet and outlet of the duct: Pr-Po (Pa), Po is the reference So as to satisfy the three equations of force), since the value of certain of their expression to simulate the temporal change of the other values of those formulas in the case of time varying, the data affecting the air conditioning If the simulation of changes in values over time falls outside the conditions of these equations, it can be determined that the simulation lacks accuracy. The air conditioning simulator can simulate the temporal change of the data value that affects the air conditioning so that the conditions of these formulas are satisfied. Therefore, it is possible to accurately determine the validity of the air conditioning design and control operation setting in the converted facility.

In the air conditioning simulator , when the values to be simulated among the above three formulas (Formula 1, Formula 2, Formula 3) are ΔP, v, and Pr, ΔP that is duct friction resistance is the simulation target. This makes it possible to confirm temporal changes in duct friction resistance in the modeled facility, whether the capacity of the supply / exhaust fan and the duct path are appropriate, improvement of the capacity of the supply / exhaust fan, improvement of the duct path, and supply / exhaust Not only can it be judged whether it is necessary to change the capacity of the fan or the route of the duct, but the control operation of the air conditioning control device connected to the duct is appropriate, or the control operation of the air conditioning control device needs to be changed Can be determined. The air conditioning simulator can check the temporal change of the wind speed in the modeled facility by using the wind speed v as the object of simulation, and whether the target value and output of the control equipment for air conditioning are appropriate. It is possible to determine whether or not the target value or output of the control device for use is necessary. The air conditioning simulator can check the temporal change in pressure in the modeled facility by using the pressure difference Pr as the object of simulation, such as the target value of the room pressure, the opening of the swirl vane of the damper, etc. Whether the target value or output of the air conditioning control device is appropriate, whether the target value of the room pressure or the opening of the swirl blade of the damper is necessary, or the change of the target value or output of the air conditioning control device Can be determined.

In the air conditioning simulator , ΔP of the three equations (Equation 1, Equation 2, Equation 3) is associated with temporal change data representing the temporal change of the value determined in advance. In the case of simulating temporal changes between V, Pr and Pr, by incorporating temporal change data representing the temporal change of a predetermined value into the temporal change simulation of ΔP, v, and Pr, ΔP It is possible to accurately simulate temporal changes in V, Pr, and Pr, and to accurately determine the validity of air conditioning design and control operation settings in a modeled facility.

In the air conditioning simulator, the temporal change data includes the opening data of the door that changes with time, and ΔP, v, and Pr correspond to the temporal change in the air flow area (A) between the rooms that are affected by the opening data. In the case of simulating the temporal change of the door, the opening degree of the door is obtained by incorporating the opening degree data of the door in which the temporal change is determined in advance into the simulation of the temporal change of ΔP, v, and Pr. Temporal changes in ΔP, v, and Pr can be simulated in correspondence with the air flow area (A) between the rooms affected by the data. The air-conditioning simulator simulates temporal changes in ΔP, v, and Pr in consideration of door opening data in which temporal changes are determined in advance, so that temporal changes in ΔP, v, and Pr are obtained. The change can be accurately simulated, and the validity of the air conditioning design and control operation setting in the modeled facility can be judged accurately.

  As a control device for air conditioning, it includes a constant air volume unit that keeps the air flow through the duct constant and a pressure control damper that can adjust the air flow through the duct, and the air passage performance of the air supply and exhaust duct is determined as duct route data The air conditioning simulator including the duct member data, the controller first characteristic data that determines the control performance of the controller that controls the air conditioning control device, and the damper first characteristic data that determines the performance of the pressure control damper is supplied by the duct member data. The air passage performance of the exhaust duct is clarified and clarified, and the control performance of the controller that controls the air conditioning control device is clarified and clarified by the controller first characteristic data, and the performance of the pressure control damper is clarified by the damper first characteristic data. Data that affects air conditioning by materializing and clarifying The temporal change in the value can be accurately simulated, the validity of the air conditioning design and control operation settings in facilities that modeled can be accurately determined. The air conditioning simulator simulates the temporal changes in the data values that affect air conditioning in the state including the performance of the constant air volume units and pressure control dampers installed in the facility, thereby controlling the constant air volume units and pressure control dampers. It is possible to determine the validity of the constant air volume unit or pressure control damper installed in the facility, such as whether the operation is appropriate or whether the control operation of the constant air volume unit or the pressure control damper needs to be changed. This air conditioning simulator can determine the validity of the delicate control operation of a constant air volume unit or pressure control damper used as an air conditioning facility in a room with extremely high airtightness.

  The air conditioning simulator that includes the air volume adjustment damper as the air conditioning control device and the damper second characteristic data that determines the performance of the air volume adjustment damper as the duct route data is realized by the damper second characteristic data. And by clarifying it, it is possible to accurately simulate temporal changes in data values that affect air conditioning, and to accurately determine the validity of air conditioning design and control operation settings in a modeled facility. . This air conditioning simulator simulates the temporal change in the value of data that affects air conditioning in a state that includes the performance of the air flow adjustment damper installed in the facility, so that the control operation of the air flow adjustment damper is appropriate. It is possible to determine the appropriateness of the air volume adjustment damper installed in the facility, such as whether it is necessary to change the damper control operation. This air conditioning simulator can determine the appropriateness of the delicate control operation of the air volume adjusting damper used as the air conditioning equipment for a room with extremely high airtightness.

  The air conditioning simulator including the controller second characteristic data for determining the control performance of the controller for controlling the rotation speed of the supply / exhaust fan as the duct path data is controlled by the controller for controlling the rotation speed of the supply / exhaust fan by the controller second characteristic data. By specifying and clarifying the performance, it is possible to accurately simulate temporal changes in data values that affect air conditioning, and accurately determine the validity of air conditioning design and control operation settings in a modeled facility. can do. This air conditioning simulator simulates the temporal changes in the data values that affect air conditioning in the state including the performance of the air supply and exhaust fans installed in the facility. Therefore, it is possible to determine the appropriateness of the supply / exhaust fan installed in the facility. This air-conditioning simulator can judge the validity of the capability of the supply / exhaust fan used as an air-conditioning facility for a room with extremely high airtightness.

  The time of ΔP, v, and Pr corresponding to the temporal change of the duct resistance coefficient (K) that is affected by the target value data, including the target value data of the control device for air conditioning whose temporal change data changes with time. An air conditioning simulator that simulates a change in the air conditioner incorporates target value data of an air conditioning control device in which a temporal change is determined in advance into a simulation of the temporal change in ΔP, v, and Pr, thereby controlling the air conditioning. Temporal changes in ΔP, v, and Pr can be simulated in correspondence with the duct resistance coefficient (K) that is affected by the target value data of the device. The air conditioning simulator simulates temporal changes in ΔP, v, and Pr in consideration of target value data of an air conditioning control device in which temporal changes are determined in advance, so that ΔP, v, and Pr It is possible to accurately simulate temporal changes, and to accurately determine the validity of air conditioning design and control operation settings in a modeled facility.

  The time-dependent data includes the rotational speed data of the air supply / exhaust fan that changes with time, and ΔP, v, and Pr correspond to the temporal change in the static pressure (Pf) of the air supply / exhaust fan that is affected by the rotational speed data. The air conditioning simulator that simulates the temporal change of the air supply / exhaust is incorporated into the simulation of the temporal change of ΔP, v, and Pr by incorporating the rotational speed data of the air supply / exhaust fan in which the temporal change is determined in advance. Temporal changes in ΔP, v, and Pr can be simulated in correspondence with the static pressure (Pf) of the supply / exhaust fan that is affected by the fan rotational speed data. The air conditioning simulator simulates the temporal change of ΔP, v, and Pr in consideration of the rotational speed data of the supply / exhaust fan whose temporal change is determined in advance, so that the time of ΔP, v, and Pr It is possible to accurately simulate actual changes, and to accurately determine the validity of air conditioning design and control operation settings in a modeled facility.

  The time-dependent data includes outdoor air pressure data that changes with time, and ΔP, v, and Pr correspond to the temporal change in the pressure difference (dPopen) between the inlet and outlet of the duct that is affected by the air pressure data. An air-conditioning simulator that simulates temporal changes is influenced by outdoor air pressure data by incorporating outdoor air pressure data in which temporal changes are determined in advance into a simulation of temporal changes in ΔP, v, and Pr. It is possible to simulate temporal changes in ΔP, v, and Pr in accordance with the pressure difference (dPopen) between the inlet and outlet of the duct that receives the gas. The air conditioning simulator simulates temporal changes in ΔP, v, and Pr in consideration of outdoor air pressure data whose temporal changes are determined in advance, so that temporal changes in ΔP, v, and Pr Can be accurately simulated, and the validity of the air conditioning design and control operation setting in the modeled facility can be accurately determined.

  The air-conditioning simulator that displays the temporal changes in the values (ΔP, v, Pr) to be simulated in a graph is a visual representation of the temporal changes in the values (ΔP, v, Pr) to be simulated. It is possible to grasp, and by accurately grasping temporal changes in values (ΔP, v, Pr), it is possible to accurately determine the validity of air conditioning design and control operation setting in a modeled facility.

The perspective view of the air-conditioning simulator shown as an example. The top view which shows an example of the modeled facility. The top view of the air supply system installed in the facility. The top view of the exhaust system installed in the facility. The perspective view of the door of the open door state shown as an example. The figure showing the correlation with the static pressure (duct frictional resistance) of a fan, and an air volume. The figure showing an example of the change of the chamber pressure by elapsed time. The figure which shows an example of the algorithm in the case of simulating corresponding to the temporal change data showing the temporal change of the value decided beforehand. The figure which shows an example of the opening degree data of the door which changes with time. The figure which shows an example of the target value data of the control apparatus for air conditioning which changes with time. The figure which shows an example of the rotation speed change data of those fans which change in time with the start / stop of an air supply / exhaust fan. The figure which shows an example of the outdoor air pressure data which changes temporally.

  The best mode for carrying out the present invention will be described with reference to the accompanying drawings such as FIG. 1 which is a perspective view of an air conditioning simulator 10 shown as an example. FIG. 1 shows an example of an algorithm for simulation performed without considering disturbance. 2 is a plan view showing an example of the facility 14 modeled in the air conditioning simulator 10, and FIG. 3 is a plan view of the air supply system 15 installed in the facility 14. 4 is a plan view of the exhaust system 16 installed in the facility 14, and FIG. 5 is a perspective view of a door shown as an example. 3 and 4 illustrate air conditioning design elements such as the static pressure of the fan, the frictional resistance of the duct, the frictional resistance coefficient of the duct, and the open end pressure in the air supply and exhaust systems 15 and 16.

  The air conditioning simulator 10 is a computer having a central processing unit (CPU or MPU) and a memory (storage unit), and incorporates a large-capacity hard disk. The air conditioning simulator 10 has a built-in communication port, and input devices such as a keyboard 11 and a mouse 12 and a scanner (not shown), and output devices such as a display 13 and a printer (not shown) are connected via an interface. Yes.

  The air conditioning simulator 10 has various server functions, can be connected to the Internet using these server functions, and can transmit and receive various data between various networks. The memory of the air conditioning simulator 10 stores an application that simulates changes in the air conditioning state in a facility that has been air conditioned. The central processing unit of the air conditioning simulator 10 starts an application stored in the memory based on control by the operating system, and executes the following means according to the application.

  The central processing unit of the air conditioning simulator 10 executes modeling means for modeling the facility 14 to be simulated. The air conditioning simulator 10 can freely model a facility to be simulated according to the air conditioning design by using a model such as an air conditioner or an air conditioner used for the air conditioning design. Air conditioners include louvers, air supply / exhaust ports, filters, and the like, but the air conditioners are not particularly limited, and include all types of air conditioners used for air conditioning design. The air conditioner includes an air supply / exhaust duct, an air supply / exhaust fan, an air conditioning control device, and the like. However, the air conditioner is not particularly limited, and includes all types of air conditioners used for air conditioning design. The air conditioning design data includes the type and arrangement of louvers and ducts and control equipment for air conditioning, the size of louvers, the opening diameter and length of ducts, the type and arrangement of doors, target values and static values for air conditioning control equipment. All data affecting air conditioning such as pressure (output), target room pressure of the room, and air leakage area of the room are included.

  Examples of the air conditioning control device include a constant air volume unit that keeps the air volume passing through the duct constant, a pressure control damper that can adjust the air volume passing through the duct, and an air volume adjustment damper. There is no limitation in particular, and all the air-conditioning control apparatuses used for air conditioning are included. These air conditioning control devices are installed in at least one of the air supply and exhaust ducts.

  An example of the facility 14 modeled by the modeling means is, as shown in FIG. 2, two adjacent first and second chambers i, j and an air supply system for supplying air to the chambers i, j. 15 and an exhaust system 16 for exhausting air from the chambers i and j. It should be noted that the number of rooms is not limited to the two illustrated, and a facility having three or more rooms can be modeled. There are no particular limitations on the types of rooms i and j, and normal air conditioning is performed not only by rooms that require special air conditioning environments such as clean rooms, biohazard rooms, culture rooms, and treatment rooms, but also by air conditioners and ventilators. The building room is also included. Further, the modeled facility 14 is not limited to that in FIG. 2, and other types of facilities that are air-conditioned can be modeled.

  A target indoor pressure is set in the chambers i and j. There is no particular limitation on the target room pressure of the chambers i and j, and the target room pressure can be freely set according to the use of the rooms i and j, the volume of the rooms i and j, and the like. There is no particular limitation on the use and volume of the chambers i and j. The first chamber i and the second chamber j are partitioned by a side wall 17 and further partitioned from the outside (outside) by a ceiling 18, a floor 19 and a peripheral wall 20 that surround the four sides of the chambers i and j.

  The side wall 17 is provided with a door 21 that connects the first chamber i and the second chamber j. The peripheral wall 20 is provided with a door 22 that connects the first and second chambers i, j to the outside. One vertical side portion of the door 21 is attached to the side wall 17 via a hinge (not shown). As shown in FIG. 5, the door 21 is a swing-type, single-open door that revolves around the vertical side portion. The door 21 turns with respect to the side wall 17 in a range of 0 to 180 degrees. As for the door 22, one vertical direction side part is attached to the surrounding wall 20 via the hinge. Similarly to the door 21, the door 22 is a swing-type single-open door that revolves around the side in the vertical direction, and revolves within a range of 0 to 180 degrees with respect to the peripheral wall 20. When the door 21 is opened, the chambers i and j are connected to each other through the open space A (air flow area A) of the door 21, and the first chamber i and the second chamber j can be moved back and forth through the open space A. it can.

  When the door 22 is opened, the first and second chambers i and j are connected to the outside through the open space A (air flow area A) of the door 22, and the chambers i and j pass through the open space A. You can go back and forth outdoors. The doors 21 and 22 are made of air tight to keep the chambers i and j airtight. The door knob is a gremon handle, and locks (rotates) the glemon handle after the doors 21 and 22 are closed to enhance the airtightness of the doors 21 and 22.

  The air supply system 15 is constructed from an air supply duct 23 that carries air into the chambers i and j, a gallery 24, an air supply fan 25, a constant air volume unit 26, and a HEPA filter 27. The air supply duct 23 is formed of a main duct 23A and two branch ducts 23B branched from the main duct 23A and extending toward the chambers i and j. The branch ducts 23B are connected to an air supply port (not shown) provided in the ceiling 18 of the rooms i and j, and are individually connected to the rooms i and j.

  The gallery 24 is attached to the intake end (outer wall of the building) of the main duct 23A. The air supply fan 25 is attached to the main duct 23A and supplies a predetermined amount of air to the chambers i and j. The constant air volume unit 26 is attached to the branch duct 23B. The HEPA filter 27 is attached to the air supply end (the ceiling 18 of the chambers i and j) of the branch duct 23B and purifies air (outside air). In the air supply system 15, the outside air is sucked into the air supply duct 23 by the air supply fan 25, the outside air enters the air supply duct 23 through the galleries 24, and passes through the HEPA filter 27 from the constant air volume unit 26 to each chamber i. , J.

  The air supply fan 25 is formed by a blower mechanism (including an inverter control unit (INV)) that sends air and a housing that accommodates the blower mechanism (not shown). The inverter control unit (INV) of the air supply fan 25 is connected to the controller 34 via an interface. The controller 34 outputs a control signal to the inverter control unit (INV) of the air supply fan 25 to control the rotational speed of the air blowing mechanism. In the air supply fan 25, the number of rotations of the blower mechanism is changed by a control signal from the controller 34. The controller 34 is a computer having a central processing unit that performs arithmetic processing and a memory that can store various conditions. An input device for inputting various conditions and a display device for input confirmation are connected to the controller 34 via an interface (not shown). The memory of the controller 34 stores a target value for the rotational speed of the air supply mechanism of the air supply fan 25. The controller 34 controls the inverter control unit of the air blowing mechanism so that the rotation speed of the air supply fan 25 air blowing mechanism becomes a target value, and keeps the amount of air exhausted from the chambers i and j constant.

  The constant air volume unit 26 is formed by a motor damper and a controller, and a housing for housing them (not shown). The motor damper is formed by a modular roll motor (rotating machine), swirling blades that swirl via the driving force of the motor, and an air flow path that is opened and closed by swirling of the swirling blades. As the damper, a parallel blade damper or an opposed blade damper can be used. In the constant air volume unit 26, the modular roll motor rotates in accordance with a control signal from the controller, and the swirl vanes swirl at a predetermined angle. These constant air volume units 26 adjust the amount of air passing through the air flow path with respect to fluctuations in the internal air pressure of the air supply duct 23, and keep the air volume supplied to the chambers i and j constant.

  The controller of the constant air flow unit 26 is a microprocessor having a central processing unit that performs arithmetic processing and a memory that can store various conditions. An input device for inputting various conditions and a display device for input confirmation are connected to the controller via an interface (not shown). A controller adjusts the opening degree of the blade | wing with respect to an air flow path so that the air passage amount which passes the air flow path of a damper may become a preset value. The memory of the controller of the constant air quantity unit 26 stores the correlation between the allowable duct internal pressure of the air passing through the air supply duct and the amount of air passing through the air flow path, and the air passage corresponding to the allowable duct internal pressure is stored. The correlation between the amount and the opening degree (turning angle) of the swing blade of the damper corresponding to the air passing amount is stored. A pressure sensor 35A is installed in the main duct 23A extending between the air supply fan 25 and the constant air volume unit 26. The pressure sensor 35A is connected to the controller 34 via an interface and measures the pressure in the main duct 23A. The measured pressure value is input to the controller 34.

  The exhaust system 16 includes an exhaust duct 28 that carries air to the outside of the chambers i and j, a pressure control damper 29, an air volume adjustment damper 30, a chamber pressure sensor 31 that measures the indoor pressure of the chambers i and j, an exhaust fan 32, It is constructed from the gallery 33. The exhaust duct 28 is formed of a main duct 28A and two branch ducts 28B branched from the main duct 28A and extending toward the chambers i and j. These branch ducts 28B are connected to an exhaust port (not shown) provided in the peripheral wall 20 of the chambers i and j, and are individually connected to the chambers i and j.

  The pressure control damper 29 and the air volume adjustment damper 30 are attached to the branch duct 28B. The exhaust fan 32 is attached to the main duct 28A and exhausts a predetermined amount of air from the chambers i and j. The gallery 33 is attached to the exhaust end (outer wall of the building) of the main duct 28A. In the exhaust system 16, the air in the chambers i and j is sucked into the exhaust duct 28 by the exhaust fan 32, and the air enters the exhaust duct 28, passes through the pressure control damper 29 and the air volume adjusting damper 30, and then is rubbed 33. It is exhausted to the outside (outdoor) through.

  The pressure control damper 29 includes a modular roll motor, a controller that controls the rotation of the motor, swirl vanes that rotate by the driving force of the motor, a housing that accommodates them, and an air flow path that is opened and closed by the swirling of the swirl vanes. (Not shown). In the pressure control damper 29, the modular roll motor rotates in accordance with a control signal from the controller, and the swirl vanes swirl at a predetermined angle. The room pressure sensor 31 is connected to the controller of the damper 29 via an interface, and outputs the measured room pressure of the rooms i and j to the controller. These pressure control dampers 29 adjust the amount of air passing through the air flow path in response to fluctuations in the indoor pressures of the chambers i and j, and maintain the chambers i and j at the target indoor pressure.

  The controller of the pressure control damper 29 is a microprocessor having a central processing unit that performs arithmetic processing and a memory that can store various conditions. An input device for inputting various conditions and a display device for input confirmation are connected to the controller via an interface (not shown). A controller adjusts the opening degree of the blade | wing with respect to an air flow path so that the air passage amount which passes the air flow path of a damper may become a preset value. The memory of the controller of the pressure control damper 29 stores the correlation between the target indoor air pressure of the chambers i and j and the air passage amount passing through the air flow path, and the air passage amount corresponding to the target indoor air pressure, The correlation with the opening degree (swing angle) of the swirl blade of the damper corresponding to the air passing amount is stored.

  The air volume adjusting damper 30 is formed of swirl vanes, a housing that accommodates them, and an air flow path that is opened and closed by swirling of the swirl vanes (not shown). These air volume adjustment dampers 30 keep the amount of air exhausted from the chambers i and j constant by maintaining the opening degree of the swirl vanes constant. In the air volume adjustment damper, the opening degree of the blades with respect to the air flow path is adjusted in advance so that the amount of air passing through the air flow path is constant.

  The exhaust fan 32 is formed by a blower mechanism (including an inverter control unit (INV)) that sends air and a housing that houses the blower mechanism (not shown). The inverter control unit (INV) of the exhaust fan 32 is connected to the controller 34 via an interface. The controller 34 outputs a control signal to the inverter control unit (INV) of the exhaust fan 32 to control the rotational speed of the blower mechanism. In the exhaust fan 32, the rotation speed of the blower mechanism is changed by a control signal from the controller 34. In the memory of the controller 34, a target value of the rotational speed of the blower mechanism of the exhaust fan 32 is stored. The controller 34 controls the inverter control unit of the blower mechanism so that the rotational speed of the blower mechanism of the exhaust fan 32 becomes a target value, and keeps the amount of air exhausted from the chambers i and j constant. A pressure sensor 35B is installed in the main duct 28A extending between the air volume adjusting damper 30 and the exhaust fan 32. The pressure sensor 35B is connected to the controller 34 via an interface and measures the pressure in the main duct 28A. The measured pressure value is input to the controller 34.

  The central processing unit of the air conditioning simulator 10 models the facility 14 with modeling means, and then, based on various data, other values of the data when a certain value of the data changes over time (Simulation means for simulating a temporal change in ΔP, v, Pr described later) is executed. In the simulation means, as shown in FIG. 1, the three elements of the duct system, the room pressure fluctuation system, and the control equipment system are associated with each other, and the pressure fluctuations in the chambers i and j and the ducts 23 and 28 are caused by temporal changes of these elements. calculate. After executing the simulation unit, the central processing unit of the air conditioning simulator 10 executes a graph display unit that displays a temporal change in the value subjected to the simulation as a graph. The graph can be output via a printer.

  The various data includes duct route data of the air supply / exhaust ducts 23 and 28 in the modeled facility 14, air leakage data of the rooms i and j, and device characteristic data of the air supply and exhaust fans 25 and 32. The duct route data includes duct member data for determining the air passage performance of the air supply / exhaust ducts 23 and 28, controller first characteristic data for determining the control performance of the controller for controlling the air conditioning control device, and the air supply and exhaust fans 25 and 32. Controller second characteristic data that determines the control performance of the controller that controls the rotational speed, damper first characteristic data that determines the performance of the pressure control damper 29, and damper second characteristic data that determines the performance of the air volume adjustment damper 30 are included. . The various types of data are stored in the memory of the air conditioning simulator 10.

  As an example of duct member data that determines the air passage performance of the air supply / exhaust ducts 23 and 28, the air density (ρ), the viscosity coefficient (ν) of air, the absolute roughness (ε), and the size of the louvers 24 and 33 ( Vertical dimension, horizontal dimension, width dimension) and the like. Duct member data includes any other data that determines air passage performance. Examples of the controller first characteristic data for determining the control performance of the controller for controlling the air-conditioning control device and the controller second characteristic data for determining the control performance of the controller for controlling the rotation speed of the supply / exhaust fans 25 and 32 include control There are time, control operation, logic function, input value, output value, target value, integration time, derivative time, time constant, PID coefficient, dead zone, and the like. The controller first characteristic data and the controller second characteristic data include all other data that determines the control performance. Examples of damper first characteristic data for determining the performance of the pressure control damper 29 and damper second characteristic data for determining the performance of the air volume adjusting damper 30 include shaft power, blade opening, blade rotation speed, air amount, and resistance coefficient. There are correlation data between the damper opening and the resistance coefficient. The damper first characteristic data and the damper second characteristic data include all other data that determines the performance of the dampers 29 and 30.

  Examples of the air leakage data of the chambers i and j include the amount of air leakage (air leakage area A) when the doors 21 and 22 are opened and closed, and the amount of air leakage from the gap between the chambers i and j itself (air leakage area A of the gap). ) Etc. The doors 21 and 22 have different airtightness depending on the type thereof, and examples thereof include a high airtight swing door, a high airtight slide door, a low airtight swing door, and a low airtight slide door. Examples of the device characteristic data of the supply / exhaust fans 25 and 32 include air volume, blower total pressure, suction total pressure, discharge total pressure, blower static pressure, suction static pressure, discharge static pressure, suction dynamic pressure, and discharge dynamic pressure. Yes, any data that determines the device characteristics of the supply and exhaust fans 25 and 32 is included.

  The central processing unit of the air conditioning simulator 10 adopts the duct resistance coefficient (K) as the duct route data of the air supply and exhaust ducts 23 and 28, and the air leakage area (A) of the rooms i and j as the air leakage data of the rooms i and j. (Including the air leakage area A when the doors 21 and 22 are opened and closed and the gaps (air leakage area A) between the chambers i and j themselves) and the air supply and exhaust fans as the device characteristic data of the air supply and exhaust fans 25 and 32 A static pressure (Pf) of 25 or 32 is employed. The central processing unit of the air conditioning simulator 10 satisfies other values (ΔP, v, Pr) of the expressions when a certain value of the expressions changes with time so as to satisfy the following three expressions: Simulate changes over time.

Formula 1 (duct system): ΔP = 1/2 · K · ρ · v ² (ΔP is duct friction resistance (Pa), ρ is air density (kg / m ³ ), v is wind speed (m / s)), Formula 2 (room pressure fluctuation system): dPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ (dPri, j is a pressure difference between adjacent chambers i and j: Pri−Prj (Pa) , Ζ is a coefficient (1), Qleak is the amount of air leaked between the chambers i and j = supply air volume−exhaust air volume, A is the air flow area between the chambers i and j, and n is a constant (1.3)). 3 (duct system): dPopen + ΔP = Pf (dPopen is a pressure difference between the inlet and the outlet of the duct: Pr-Po (Pa), Po is a reference pressure). These equations are stored in the memory of the air conditioning simulator 10.

  FIG. 6 is a diagram showing an example of the correlation between the static pressure (duct friction resistance) of the fans 25 and 32 and the air volume, and shows the relationship of Expression 3: dPopen + ΔP = Pf. In FIG. 6, a line segment L1 indicates dPopen, a line segment L2 indicates ΔP, and a line segment L3 indicates Pf. Point A indicates an appropriate operating state at a certain point in a certain part of the rooms i and j. An example of the simulation performed by the air conditioning simulator 10 is as follows. At point A, the static pressure (output) (Pf) of the fans 25 and 32 with respect to the room pressure at a certain point in the chambers i and j, the frictional resistance (Pa) of the ducts 23 and 28, the air volume of the ducts 23 and 28 ( m3 / h) is displayed. Since the static pressure of the fans 25 and 32 is determined by the type of the fans 25 and 32, there is no change in the line segment L3.

  For example, when the opening of the damper of the constant air volume unit 26, the damper 29, and the swirl vane of the damper 30 changes with the passage of time, the pressure difference dPopen between the inlets and outlets of the ducts 23 and 28 changes accordingly, and ΔP (v : Wind speed, air volume, and room pressure) change. When at least one of dPopen and ΔP changes, the static pressure (Pf) of the fans 25 and 32 changes, and the air volume of the ducts 23 and 28 changes.

In the air conditioning simulator 10, when the airflows of the ducts 23 and 28 change with the passage of time and the opening degree of the dampers of the constant airflow unit 26, the dampers 29, and the swirl vanes of the dampers 30 changes, the equation 1: ΔP = 1/2 · K · ρ · v ² , Equation 2: dPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ , Equation 3: dPopen + ΔP = Pf so as to satisfy the three values (ΔP, v, A temporal change in Pr) is simulated, and the result is displayed on the display 13.

  As a result of the simulation, even if the opening of the damper of the constant air volume unit 26, the damper 29, or the swirl vane of the damper 30 is changed, an appropriate operating state at a certain point in time at a certain place of the chambers i and j (see FIG. The static pressure of the fans 25 and 32 is known. Therefore, the optimum air supply / exhaust fans 25 and 32 used in the modeled facility 14 can be selected by using the simulation by the air conditioning simulator 10.

  FIG. 7 is a diagram illustrating an example of a change in room pressure due to elapsed time. In FIG. 7, the change in the chamber pressure of the chambers i and j with the elapsed time is displayed in a graph. Another example of the simulation performed by the air conditioning simulator 10 is as follows. When the door 22 is opened and closed to enter the rooms i and j from the outside, and the door 21 is opened and closed to move from the room i to the room j, a predetermined amount (A: the amount of air leaking from the air leakage area) through the door 22 ) Flows out of the chambers i and j through the door 21, and a predetermined amount of air (A: the amount of air leaking from the air leakage area) flows into the chamber j from the chamber i.

  If the air pressure inside the chambers i and j moves between the chambers i and j, or moves between the chambers i and j and the outside, the indoor air pressure changes, the indoor air pressure deviates from the target indoor air pressure. The room pressure is measured by the sensor 31 and is output to the controller of the damper 29. When the indoor air pressure deviates from the target indoor air pressure, the controller of the damper 29 adjusts (changes) the opening degree of the swirl blade so that the indoor air pressure of the chambers i and j is returned to the target indoor air pressure. When the opening degree of the swirl vane of the damper 29 changes over time, the pressure difference dPopen between the inlets and outlets of the ducts 23 and 28 changes accordingly, and ΔP (v: wind speed, air volume, room pressure) changes. . While at least one of dPopen and ΔP changes, a predetermined time lag occurs until the chamber pressure in the chambers i and j returns to the target indoor pressure.

When the air pressure in the chambers i and j changes with the passage of time and the opening degree of the swirl vane of the damper 29 changes, the air conditioning simulator 10 changes the formula 1: ΔP = 1/2 · K · ρ · v ² , formula 2 : DPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ , Equation 3: Simulation of temporal changes in values (ΔP, v, Pr) so as to satisfy the three equations dPopen + ΔP = Pf The result is displayed on the display 13.

  With the graph of the change in room pressure over time shown in FIG. 7, it is possible to grasp the state until the room pressure of the chambers i and j returns to the target room pressure, and the time for the room pressure to return to the target room pressure. If the return operation is short and slow, it can be seen that the selected air conditioner or air conditioner is optimal. Conversely, when the time required for the room air pressure to return to the target room air pressure is long and the return operation is not gradual, it is understood that the selected air conditioner or air conditioner is inappropriate. As shown in FIG. 7, the temporal change in the values (ΔP, v, Pr) to be simulated is displayed in a graph, so the temporal change in the values (ΔP, v, Pr) to be simulated. Can be grasped visually, and the appropriateness of the air conditioning design and control operation settings in the modeled facility 14 can be accurately determined by accurately grasping the temporal changes in the values (ΔP, v, Pr). can do.

  The air conditioning simulator 10 models the facility 14 to be simulated, the duct route data of the air supply / exhaust ducts 23 and 28, the air leakage data of the rooms i and j, and the devices of the air supply and exhaust fans 25 and 32 in the modeled facility 14. Based on the characteristic data, since a time change of other values (ΔP, v, Pr) of the data when a value of the data changes with time is simulated, it is modeled. It is possible to grasp temporal changes in ΔP, v, and Pr when a certain value of data affecting air conditioning in the facility 14 changes with time, and the air conditioning design and control operation settings in the modeled facility 14 are correct. Air conditioning design and control in the modeled facility 14 such as whether the air conditioning design and control operation settings need to be improved, or whether the air conditioning design and control operation settings need to be changed The validity of the operation setting can be determined.

  The air conditioning simulator 10 examines the simulation results to determine whether the air supply / exhaust ducts 23, 28, the air supply / exhaust fans 25, 32, the constant air volume unit 26, the pressure control damper 29, the air volume adjustment damper 30, the gallery 24, 33, and the filter 27. Facilities 14 such as whether it is appropriate to use, whether air supply / exhaust ducts 23, 28, air supply / exhaust fans 25, 32, constant air volume unit 26, pressure control damper 29, air volume adjusting damper 30, louvers 24, 33 and filter 27 need to be reviewed. The adequacy of the air-conditioning equipment and air-conditioning equipment installed in can be judged. In addition, when the air-conditioning simulator 10 improves or changes the air-conditioning design and control operation settings in the modeled facility 14, the data when a certain value of data affecting the air-conditioning in the facility 14 changes with time. By simulating temporal changes in other values (ΔP, v, Pr), it is possible to grasp temporal changes in ΔP, v, Pr after improving or changing the air conditioning design and control operation settings. It is possible to determine the validity of the air conditioning design and control operation setting in the facility 14 where the air conditioning design and control operation setting are improved or changed, and the best air conditioning design and control operation setting in the modeled facility 14 can be determined. Can be built.

The air conditioning simulator 10 employs the duct resistance coefficient (K) as the duct route data of the supply / exhaust ducts 23 and 28, and employs the air leakage area (A) of the rooms i and j as the air leakage data of the rooms i and j. The static pressure (Pf) of the supply / exhaust fans 25, 32 is adopted as the device characteristic data of the supply / exhaust fans 25, 32, and the equation 1: ΔP = 1/2 · K · ρ · v ² and the equation 2: dPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ , Equation 3: dPopen + ΔP = Pf among those equations when a certain value of these equations changes with time so as to satisfy the three equations Since the temporal change of other values (ΔP, v, Pr) is simulated, the temporal change of the data value affecting the air conditioning can be accurately simulated, and the air conditioning design in the modeled facility 14 And appropriate control action settings It can be accurately determined.

  The air conditioning simulator 10 can confirm the temporal change of the duct friction resistance in the modeled facility 14 by using (ΔP), which is the duct friction resistance, as a simulation target. It is possible to determine whether the installation location is correct, whether the arrangement of the ducts 23 and 28 and the improvement or modification of the installation location are necessary, and whether or not the air-conditioning equipment and the air-conditioning apparatus connected to the ducts 23 and 28 are appropriate. It is possible to determine whether it is necessary to change the air conditioner or the air conditioner. The air conditioning simulator 10 can confirm the temporal change in the wind speed in the modeled facility 14 by using (v), which is the wind speed, as a simulation target. It is possible to determine whether it is appropriate or whether it is necessary to modify the target value or output of the air conditioning control device. The air-conditioning simulator 10 can confirm the temporal change in pressure in the modeled facility 14 by using the pressure difference (Pr) as a simulation target, so that the target value of the room pressure and the constant air volume unit 26 can be confirmed. The dampers, the opening of the revolving blades of the dampers 29, 30 are appropriate, the target value and output of the air conditioning control device are appropriate, the target values of the room pressure, the dampers of the constant air volume unit 26, the dampers 29, 30 It is possible to determine whether it is necessary to modify the opening degree of the swirl blades, or to change the target value or output of the air conditioning control device.

  This air-conditioning simulator is designed to show temporal changes of other values of each data when a value of each data changes with time, especially in a highly airtight room such as a clean room or a biohazard room. The simulation can be performed, and the validity of the air-conditioning design and the control operation setting in the extremely airtight room can be determined.

FIG. 8 is a diagram showing an example of an algorithm in the case of simulating corresponding to the temporal change data representing the temporal change of the value determined in advance. FIG. 9 is a diagram showing the opening of the doors 21 and 22 that change with time. It is a figure which shows an example of degree data. In the embodiment of FIG. 8, the air conditioning simulator 10 includes Formula 1: ΔP = 1/2 · K · ρ · v ² , Formula 2: dPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ , Formula 3 : Corresponding to the time-dependent change data (disturbance) representing the time-dependent change of the value in which the temporal change in the three formulas of dPopen + ΔP = Pf is determined in advance, ΔP, v, and Pr of the formulas Simulate changes over time.

  The memory of the air conditioning simulator 10 stores the opening data of the doors 21 and 22 that change with time (the correlation between the amount of air leaked from the air leakage area A that changes due to the opening and closing of the doors 21 and 22 and time). ing. In the mode of FIG. 9, it is assumed that the doors 21 and 22 are regularly opened and closed, and the doors 21 and 22 are opened and closed as disturbances. When the doors 21 and 22 are opened and closed periodically, a predetermined amount of air (A: the amount of air leaking from the air leakage area) flows out of the chambers i and j through the door 22 and passes through the door 21. A predetermined amount of air (A: the amount of air leaking from the air leakage area) flows from chamber i into chamber j.

  When the room pressure changes due to the movement of air, the room pressure deviates from the target room pressure. When the indoor air pressure deviates from the target indoor air pressure, the controller of the damper 29 adjusts (changes) the opening degree of the swirl blade so that the indoor air pressure of the chambers i and j is returned to the target indoor air pressure. When the opening degree of the swirl vane of the damper 29 changes over time, the pressure difference dPopen between the inlets and outlets of the ducts 23 and 28 changes accordingly, and ΔP (v: wind speed, air volume, room pressure) changes. . While at least one of dPopen and ΔP changes, a predetermined time lag occurs until the chamber pressure in the chambers i and j returns to the target indoor pressure.

When the air pressure in the chambers i and j changes with the passage of time and the opening degree of the swirl vane of the damper 29 changes, the air conditioning simulator 10 changes the formula 1: ΔP = 1/2 · K · ρ · v ² , formula 2 : DPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ , Equation 3: Simulation of temporal changes in values (ΔP, v, Pr) so as to satisfy the three equations dPopen + ΔP = Pf Then, the result (for example, a graph of the change in the chamber pressure with the elapsed time shown in FIG. 7) is displayed on the display 13.

  This air conditioning simulator 10 incorporates opening data of the doors 21 and 22 whose temporal changes are determined in advance into a simulation of temporal changes of ΔP, v, and Pr, thereby opening and closing the doors 21 and 22. Temporal changes in ΔP, v, and Pr can be simulated corresponding to the air flow area (A) between the affected rooms i and j. The air conditioning simulator 10 simulates the temporal changes in ΔP, v, and Pr in consideration of the opening data of the doors 21 and 22 in which the temporal changes have been determined in advance, so that ΔP, v, and Pr Therefore, the appropriateness of the air conditioning design in the modeled facility 14 can be accurately determined.

FIG. 10 is a diagram illustrating an example of control target value data of the air-conditioning control device that changes over time. The memory of the air conditioning simulator 10 stores control target value data (control target value of the air supply / exhaust fans 25 and 32 and time) that changes with time in response to switching to the night energy-saving operation mode. Relationship) is stored. In the aspect of FIG. 10, assuming that the control target value of the air conditioning control device is periodically changed, the change of the control target value of the air conditioning control device is an artificial disturbance. In the embodiment of FIG. 10, the air conditioning simulator 10 corresponds to the target value (artificial disturbance) of the control device for air conditioning that changes with time, Equation 1: ΔP = 1/2 · K · ρ · v ² , Equation 2 : DPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ , Equation 3: Temporal changes in ΔP, v, and Pr among the three equations dPopen + ΔP = Pf are simulated (FIG. 8). Support).

  When the target output value of the supply / exhaust fans 25 and 32 and the opening of the swirl vane of the damper 29 (opening with respect to the target chamber pressure) change over time, the pressure difference between the inlets and outlets of the ducts 23 and 28 is thereby changed. dPopen changes and ΔP (v: wind speed, air volume, room pressure) changes. When at least one of dPopen and ΔP changes, the static pressure (Pf) of the fans 25 and 32 changes, and the air volume of the ducts 23 and 28 changes.

In the air conditioning simulator 10, when the airflows of the ducts 23 and 28 change with the passage of time and the opening degree of the dampers of the constant airflow unit 26, the dampers 29, and the swirl vanes of the dampers 30 changes, the equation 1: ΔP = 1/2 · K · ρ · v ² , Equation 2: dPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ , Equation 3: dPopen + ΔP = Pf so as to satisfy the three values (ΔP, v, A temporal change in Pr) is simulated, and the result is displayed on the display 13.

  The air conditioning simulator 10 incorporates target value data of an air conditioning control device whose temporal change is determined in advance into a simulation of temporal changes in ΔP, v, and Pr, thereby controlling the control target of the air conditioning control device. Temporal changes in ΔP, v, and Pr can be simulated in correspondence with the duct resistance coefficient (K) that is affected by the value. The air conditioning simulator 10 simulates the temporal change of ΔP, v, and Pr in consideration of the control target value data of the air conditioning control device in which the temporal change is determined in advance, so that ΔP, v, and Pr are simulated. Therefore, it is possible to accurately simulate the change in time and the validity of the air conditioning design and control operation setting in the modeled facility 14.

FIG. 11 is a diagram illustrating an example of rotation speed change data of the fans 25 and 32 that change with time according to the start and stop of the supply / exhaust fans 25 and 32. The memory of the air conditioning simulator 10 stores the rotational speed change data of the air supply / exhaust fans 25 and 32 that change with time (correlation between the rotational speed changes of the air supply and exhaust fans 25 and 32 and time). In the mode of FIG. 11, assuming that the rotation speeds of the supply / exhaust fans 25 and 32 are periodically changed, the change of the rotation speeds of the supply / exhaust fans 25 and 32 is an artificial disturbance. In the aspect of FIG. 11, the air conditioning simulator 10 corresponds to the rotational speeds of the air supply and exhaust fans 25 and 32 that change with time, and the expression 1: ΔP = 1/2 · K · ρ · v ² and the expression 2: dPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ , Equation 3: Temporal changes in ΔP, v, and Pr among the three equations dPopen + ΔP = Pf are simulated (in FIG. 8).

  When the rotational speed of the air supply / exhaust fans 25 and 32 changes with the passage of time, the pressure difference dPopen between the inlets and outlets of the ducts 23 and 28 changes accordingly, and ΔP (v: wind speed, air volume, room pressure) changes. To do. When at least one of dPopen and ΔP changes, the static pressure (Pf) of the fans 25 and 32 changes, and the air volume of the ducts 23 and 28 changes.

In the air conditioning simulator 10, when the airflows of the ducts 23 and 28 change with the passage of time and the opening degree of the dampers of the constant airflow unit 26, the dampers 29, and the swirl vanes of the dampers 30 changes, the equation 1: ΔP = 1/2 · K · ρ · v ² , Equation 2: dPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ , Equation 3: dPopen + ΔP = Pf so as to satisfy the three values (ΔP, v, A temporal change in Pr) is simulated, and the result is displayed on the display 13.

  The air conditioning simulator 10 incorporates the rotational speed data of the air supply / exhaust fans 25, 32, whose temporal changes are determined in advance, into the simulation of the temporal changes of ΔP, v, and Pr. It is possible to simulate temporal changes in ΔP, v, and Pr corresponding to the static pressure (Pf) of the supply / exhaust fans 25 and 32 that are affected by the rotational speed of 32. The air conditioning simulator 10 simulates temporal changes in ΔP, v, and Pr in consideration of the rotational speed data of the air supply / exhaust fans 25 and 32 in which temporal changes have been determined in advance, whereby ΔP and v The temporal change with Pr can be accurately simulated, and the validity of the air conditioning design and control operation setting in the modeled facility 14 can be accurately determined.

FIG. 12 is a diagram illustrating an example of outdoor (external) air pressure data that changes over time. The memory of the air conditioning simulator 10 stores outdoor air pressure data (correlation between outdoor air pressure and time) that changes with time. In the aspect of FIG. 12, assuming that the outdoor air pressure changes periodically, the change in the outdoor air pressure is regarded as a disturbance. In the aspect of FIG. 12, the air conditioning simulator 10 corresponds to an outdoor air pressure (disturbance) that changes with time, Equation 1: ΔP = 1/2 · K · ρ · v ² , Equation 2: dPri, j = 1. / 2 · ζ · ρ · (Qleak / A) ⁿ , Equation 3: Temporal changes in ΔP, v, and Pr among the three equations dPopen + ΔP = Pf are simulated (with reference to FIG. 8).

  When the air pressure outside the room (outside the gallery 24, 33) changes over time, the pressure difference dPopen between the inlets and outlets of the ducts 23, 28 changes accordingly, and ΔP (v: wind speed, air volume, room pressure) Changes. When at least one of dPopen and ΔP changes, the static pressure (Pf) of the fans 25 and 32 changes, and the air volume of the ducts 23 and 28 changes.

In the air conditioning simulator 10, when the airflows of the ducts 23 and 28 change with the passage of time and the opening degree of the dampers of the constant airflow unit 26, the dampers 29, and the swirl vanes of the dampers 30 changes, the equation 1: ΔP = 1/2 · K · ρ · v ² , Equation 2: dPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ , Equation 3: dPopen + ΔP = Pf so as to satisfy the three values (ΔP, v, A temporal change in Pr) is simulated, and the result is displayed on the display 13.

  The air-conditioning simulator 10 incorporates outdoor air pressure data whose temporal changes are determined in advance into a simulation of temporal changes in ΔP, v, and Pr, so that the ducts 23 and 28 affected by the outdoor air pressure are used. It is possible to simulate temporal changes in ΔP, v, and Pr in accordance with the pressure difference (dPopen) between the inlet and the outlet. The air conditioning simulator 10 simulates temporal changes in ΔP, v, and Pr in consideration of outdoor air pressure data in which temporal changes are determined in advance, so that temporal changes in ΔP, v, and Pr are obtained. The change can be accurately simulated, and the validity of the air conditioning design and control operation setting in the modeled facility can be judged accurately.

  In addition, the air conditioning simulator 10 performs all disturbances shown in FIGS. 9 to 12 (opening and closing of the doors 21 and 22, target values of the air conditioning control devices (target output values of the air supply and exhaust fans 25 and 32, and the swing blades of the damper 29). The value (ΔP, v, Pr) is set so as to satisfy the above three formulas in consideration of a change in the opening degree with respect to the target room pressure, a change in the rotation speed of the supply / exhaust fans 25 and 32, and a change in the outdoor air pressure. It is also possible to simulate temporal changes and display the results on the display 13.

DESCRIPTION OF SYMBOLS 10 Air conditioning simulator 14 Facility 15 Air supply system 16 Exhaust system 21 Door 22 Door 23 Air supply duct 24 Guarari 25 Air supply fan 26 Constant air volume unit 27 HEPA filter 28 Exhaust duct 29 Pressure control damper 30 Air volume adjustment damper 31 Room pressure sensor 32 Exhaust air Fan 33 Galilei i Room 1 j Room 2

Claims (9)

In an air conditioning simulator that uses computer resources to simulate changes in the air conditioning status in air-conditioned facilities,
The facility includes a room having a door, an air supply duct connected to the room to carry air into the room, an exhaust duct connected to the room to carry air to the outside, and the air supply duct using the air supply duct. An air supply fan that supplies air to the chamber, an exhaust fan that exhausts air from the chamber using the exhaust duct, and an air conditioning control device installed in at least one of the air supply and exhaust ducts ,
The air-conditioning simulator, the facilities to be the simulation modeling, and the duct route data of said supply and exhaust duct in facilities that modeled adopted duct resistance coefficient (K), the chamber in the facility that modeled together with the air leak data employing the air leakage area of the chamber (a), employing a static pressure (Pf) of the supply and exhaust fan and the supply and exhaust fan of the equipment characteristic data in facilities that modeling, formula 1 : ΔP = 1/2 · K · ρ · v ² (ΔP is duct frictional resistance (Pa), ρ is air density (kg / m ³ ), v is wind speed (m / s)), Formula 2: dPri, j = 1/2 · ζ · ρ · (Qleak / A) ⁿ (dPri, j is the pressure difference between adjacent chambers i and j: Pri-Prj (Pa), ζ is a coefficient (1), and Qleak is between chambers. Leakage air volume = Supply air volume-Exhaust air volume, A is air flow between rooms Area, n is a constant (1.3)), equation 3: dPopen + ΔP = Pf (dPopen is the pressure difference between the inlet and outlet of the duct: Pr-Po (Pa), Po is the reference pressure) There are ΔP, v, and Pr of the equations corresponding to the temporal change of the air flow area (A) of the chamber that is satisfied by the opening degree data of the door that changes with time. An air conditioning simulator characterized by simulating a temporal change of another value among the ΔP, the v, and the Pr when the value changes with time. The air-conditioning control device is installed in at least one of the air supply / exhaust ducts to maintain a constant air volume through the duct, and is installed in at least one of the air supply / exhaust ducts. determining includes an adjustable pressure control damper air amount, the duct path data, and the duct member data to determine the air passing performance of the supply and exhaust duct, the control performance of the controller for controlling the control devices for the air-conditioning through The air conditioner simulator according to claim 1 , comprising controller first characteristic data to be performed and damper first characteristic data for determining performance of the pressure control damper.   The air conditioning control device includes an air volume adjustment damper installed in at least one of the air supply and exhaust ducts, and the duct route data includes damper second characteristic data that determines performance of the air volume adjustment damper. 2. The air conditioning simulator according to 2.   The air conditioning simulator according to claim 2 or 3, wherein the duct route data includes controller second characteristic data that determines control performance of a controller that controls the rotation speed of the supply / exhaust fan. The air conditioning simulator corresponds to the time-dependent change data representing the time-dependent change of the value in which the temporal change among the three expressions is determined in advance, and ΔP, v, Pr, The air conditioning simulator according to any one of claims 1 to 4, which simulates a temporal change of the air conditioner. The time-varying data includes target value data of the air-conditioning control device that changes with time, and the duct resistance coefficient (K) over time that the air-conditioning simulator is affected by the target value data of the air-conditioning control device. The air conditioning simulator according to claim 5, wherein a temporal change of the ΔP, the v, and the Pr is simulated in response to a change . The time-varying data includes the rotation speed data of the supply / exhaust fan that changes with time, and the static pressure (Pf) time of the supply / exhaust fan affected by the rotation speed data of the supply / exhaust fan is affected by the air conditioning simulator. The air conditioning simulator according to claim 5 or 6, wherein a time change of the ΔP, the v, and the Pr is simulated in response to a change . The time-varying data includes the outdoor air pressure data that changes with time, and the air conditioner simulator changes with time the pressure difference (dPopen) between the inlet and outlet of the duct that is affected by the outdoor air pressure data. The air-conditioning simulator according to any one of claims 5 to 7, which simulates temporal changes of the ΔP, the v, and the Pr in correspondence with . The air conditioning simulator according to any one of claims 1 to 8 , wherein the air conditioning simulator displays a temporal change in a value to be simulated .

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