JP2011027301A - Air conditioning control device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an air conditioning control device capable of stably performing efficient air conditioning control while considering comfortability of a person in a room. <P>SOLUTION: The air conditioning control device includes: an optimal operation function preparing part 813 for calculating beforehand, by optimizing calculation, an indoor temperature set value, an indoor humidity set value and an air supply temperature set value achieving a minimum energy consumption value within an air conditioning control system at a comfortability indicator value within a predetermined range with respect to each combination of a plurality of outside air temperature values, outside air humidity values and sensible heat load values and for preparing beforehand a function passing through the set values in the all conditions as an optimal operation function with respect to each type of the set values; an environment value acquiring part 822b for acquiring the measured outside air temperature measurement value and outside air humidity measurement value and the sensible heat load value calculated from an indoor temperature measurement value, a supply air temperature measurement value and supply air quantity; and a set value identification part 822c for identifying each set value for air conditioning control based on the values acquired in the environment value acquiring part 822b and the optimal operation function. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an air conditioning control device that controls air conditioning in an office, a residence, or the like.

  About half of the energy consumed by all building equipment such as offices and residences is energy related to air conditioning. Therefore, the promotion of energy saving related to air conditioning control greatly contributes to energy saving of the entire building equipment.

  In view of this, Patent Document 1 discloses a technique using an air conditioning system that performs an air conditioning operation that achieves optimum energy saving in a building facility.

  The technique of this patent document 1 includes the energy consumption of the heat source machine that produces cold / hot water, the energy consumption of the fan that sends out the air heat-exchanged by the air conditioning coil, and the energy consumption of the pump that sends the cold / hot water from the heat source machine By obtaining the coil temperature target value of the air conditioning coil and the cold / hot water temperature target value of the heat source machine so that the required energy consumption of air conditioning is minimized, it is possible to efficiently perform the energy saving air conditioning operation.

JP 2004-69134 A

  However, when performing air conditioning control using the technique described in Patent Document 1, if the optimization calculation is performed online based on the values measured in the air conditioning equipment, a great load is applied to the air conditioning control device. Depending on the measurement value, there is a problem that the calculation is complicated and the solution cannot be obtained, and the target value cannot be calculated stably.

  In addition, while energy saving is promoted in this way, in order to satisfy the thermal sensation of the occupants in the room that is subject to air conditioning control, it is required to ensure so-called comfort. The described technology did not consider comfort.

  Therefore, the present invention has been made in view of the above circumstances, and an object thereof is to provide an air conditioning control device capable of performing stable and efficient air conditioning control in consideration of the comfort of the occupants. .

  In order to achieve the above object, an air conditioning control device of the present invention is an air conditioning control device connected to an air conditioner installed for each indoor space subject to air conditioning control. For each of the combinations with the value indicating the air-conditioning environment for each indoor space of the air-conditioning control target for the condition, the value for the required power of the air-conditioning control with the comfort index value within the predetermined range is minimized. A set value is calculated in advance by an optimization operation, and a function that passes through the set value under all conditions is created in advance as an optimum operation function for each type of the set value. Based on the environment value acquisition unit that acquires the measurement value indicating the environment and the measurement value indicating the air conditioning environment for each indoor space that is the air conditioning control target, and the environment value based on the optimum operation function created by the optimum operation function creation unit Get A set value specifying unit for specifying a set value for the air conditioning control corresponding to the measured value indicating the environment of the outside air acquired in step 1 and the measured value indicating the air conditioning environment for each indoor space of the air conditioning control target, and the set value specifying And a set value sending unit for sending the set value specified by the unit to set the air conditioner.

  An air conditioning control device according to another aspect of the present invention includes an air conditioner installed for each indoor space subject to air conditioning control, a value indicating an environment of outdoor air under a plurality of conditions, and an indoor space subject to the air conditioning control under a plurality of conditions. For each combination with a value indicating each air conditioning environment, a set value for air conditioning control that minimizes a value related to the required power of the air conditioning control with a comfort index value within a predetermined range is previously calculated by optimization calculation. An air conditioning control device connected to an optimum operation function creation device that pre-creates a function that passes through the set values under all conditions as an optimum operation function for each type of the set value, and measures the outside air An environment value acquisition unit that acquires a measured value indicating an environment of the air conditioner and a measured value indicating an air conditioning environment for each indoor space of the air conditioning control target, and the environment based on the optimum operation function created by the optimum operation function creation device Price taking A set value specifying unit for specifying a set value for the air conditioning control corresponding to the measured value indicating the environment of the outside air acquired by the unit and the measured value indicating the air conditioning environment for each indoor space of the air conditioning control target, and the set value A setting value sending unit for sending the setting value specified by the specifying unit to cause the air conditioner to set.

  According to the air conditioning control device of the present invention, stable and efficient air conditioning control can be performed while taking into account the comfort of the occupants.

1 is an overall view showing a configuration of an air conditioning control system using an air conditioning cooperation control device as an air conditioning control device according to an embodiment of the present invention. It is a block diagram which shows the structure of the air-conditioning control system using the air-conditioning cooperation control apparatus as an air-conditioning control apparatus by one Embodiment of this invention. It is a flowchart which shows operation | movement of the air-conditioning cooperation control apparatus as an air-conditioning control apparatus by one Embodiment of this invention. It is explanatory drawing for demonstrating the spline interpolation utilized when creating an optimal operation function in the optimal operation function preparation part of the air-conditioning cooperation control apparatus as an air-conditioning control apparatus by one Embodiment of this invention. It is a graph which shows an example of the optimal operation function of the indoor temperature setting value produced in the optimal operation function creation part of the air-conditioning cooperation control apparatus as an air-conditioning control apparatus by one Embodiment of this invention. It is a graph which shows an example of the optimal operation function of the indoor humidity setting value created in the optimal operation function creation part of the air conditioning cooperation control apparatus as an air conditioning control apparatus by one Embodiment of this invention. It is a graph which shows an example of the optimal operation function of the supply air temperature setting value produced in the optimum operation function creation part of the air-conditioning cooperation control device as an air-conditioning control device by one embodiment of the present invention. It is the 3D graph which showed the energy consumption minimum value on the vertical axis | shaft for reference when the optimal operation function was produced in the optimum operation function creation part of the air-conditioning cooperation control apparatus as an air-conditioning control apparatus by one Embodiment of this invention for reference. . It is the 3D graph which showed the PMV value on the vertical axis | shaft for reference when the optimal operation function was produced in the optimum operation function production part of the air-conditioning cooperation control apparatus as an air-conditioning control apparatus by one Embodiment of this invention.

  An embodiment of an air conditioning control system of the present invention will be described with reference to the drawings. Since many recent office buildings have good heat insulation and many PCs and OA devices, they are in the cooling mode throughout the year. Therefore, in the following embodiments, the case where air conditioning control is performed in the cooling mode will be described.

<Configuration of air conditioning control system according to one embodiment>
An overall view of an air conditioning control system 1 according to an embodiment of the present invention is shown in FIGS. 1 and 2.

  In the case of a large building, since the room is large, the room is divided into a plurality of control zones, and a plurality of air conditioners are installed in a machine room near the room corresponding to each control zone. Even in such a case, hereinafter, each control zone is also referred to as a room for simplicity.

  The air conditioning control system 1 controls the air conditioning in the building A to be air conditioned. The air conditioner 10 installed in each room in the building A and the air conditioner 10 installed close to the air conditioner 10 in each room. Supply air temperature sensor 20 that measures the supply air temperature from each of the air conditioners and transmits the measured values to each air conditioner 10, and the indoor temperature sensor 30 that is installed in each room and measures the room temperature and transmits the measured values to each air conditioner 10. An indoor humidity sensor 40 that is installed in each room and measures the humidity in the room and transmits the measured value to each air conditioner 10; a central heat source device 50 that manages the cold water supplied to each air conditioner 10; An outside air temperature sensor 60 installed outside the building A for measuring the temperature of the outside air, an outside air humidity sensor 70 installed outside the building A to be air-conditioned for measuring the humidity of the outside air, and the supply received by each air conditioner 10 Air temperature measurement, indoor temperature measurement, and The internal humidity measurement value is received and the outside air temperature measurement value measured by the outside air temperature sensor 60 and the outside air humidity measurement value measured by the outside air humidity sensor 70 are received to operate the central heat source device 50 and each air conditioner 10. The air conditioning cooperation control device 80 as an air conditioning control device for calculating a set value for the operation, and an operation amount for realizing the setting value calculated by the air conditioning cooperation control device 80 are calculated to the central heat source device 50 and the air conditioner 10. A DDC (Direct Digital Controller) 90 for transmission is provided.

  Each air conditioner 10 transmits the measurement values acquired from the supply air temperature sensor 20, the indoor temperature sensor 30, and the indoor humidity sensor 40 to the air conditioning cooperation control device 80. Each air conditioner 10 is connected to an air volume sensor 11 for measuring the supply air volume, and the measurement value measured by the air volume sensor 11 is also acquired and transmitted to the air conditioning linkage control device 80. Each air conditioner 10 uses the cold water supplied from the central heat source device 50 to cool and dehumidify the latent heat of the outside air taken from outside the building A, and at the same time, the OA equipment of the ambient air taken from the room subject to air conditioning control. The sensible heat emitted from the human body is cooled and blown into each room.

  The central heat source device 50 includes a refrigerator 51 that generates cold water, a cooling tower 52 that cools the refrigerator 51 with air in order to reuse the water whose temperature has been increased, the refrigerator 51, and each air conditioner 10. Or it has the water supply pump 53 which conveys cold water between the cooling towers 52. When using District Heating and Cooling (DHC), the central heat source device 50 is not installed in the building, and cold water is supplied from the outside.

  The air conditioning cooperation control device 80 includes an offline processing unit 81 and an online processing unit 82, as shown in FIG.

  The offline processing unit 81 operates in an offline state separated from various sensors and the air conditioner 10, and includes an air conditioning system model storage unit 811, an optimization calculation unit 812, and an optimum operation function creation unit 813.

  The air conditioning system model storage unit 811 stores information related to the configuration of the devices in the air conditioning control system 1. In the present embodiment, identification information and the like of the supply air temperature sensor 20, the indoor temperature sensor 30, and the indoor humidity sensor 40 corresponding to each air conditioner 10 are stored.

  The optimization calculation unit 812 is configured for each combination of an outdoor air temperature value, an outdoor air humidity value, and an sensible heat load value that is an energy value consumed in the air conditioning control system 1 to cool the sensible heat. A set value for air-conditioning control is calculated such that a value relating to required power in the air-conditioning control system 1 is minimized with a comfort index value within a predetermined range. In the present embodiment, the indoor temperature set value, the indoor humidity set value, and the supply air temperature set value are calculated so that the consumed energy value as a value related to the required power in the air conditioning control system 1 is minimized. .

  The optimum operation function creating unit 813 creates, as an optimum operation function, a function that passes through all the set values calculated by the optimization calculating unit 812 for each room temperature set value, room humidity set value, and supply air temperature set value.

  The online processing unit 82 is connected to various sensors and the air conditioner 10 and operates based on information acquired in real time from these sensors, and includes a sensible heat load calculation unit 821 and an operation function calculation unit 822.

  The sensible heat load calculation unit 821 is a supply air temperature measurement value acquired from the supply air temperature sensor 20, an indoor temperature measurement value acquired from the indoor temperature sensor 30, and an intake air flow value acquired from the air flow sensor 11. Based on the above, the sensible heat load value in the room subject to air conditioning control is calculated.

  The operation function calculation unit 822 includes a function acquisition unit 822a that acquires the optimum operation function created by the optimum operation function creation unit 813 of the offline processing unit 81, and a sensible heat load value and outside air calculated by the sensible heat load calculation unit 821. An ambient temperature measurement value measured by the temperature sensor 60, an environmental value acquisition unit 822b for acquiring an outdoor air humidity measurement value measured by the outdoor air humidity sensor 70, a sensible heat load value acquired by the environmental value acquisition unit 822b, and an outdoor air temperature measurement A setting value specifying unit 822c that specifies an optimal indoor temperature setting value, indoor humidity setting value, and supply air temperature setting value from the optimum operation function acquired by the function acquisition unit 822a based on the measured value and the outside air humidity measurement value; A set value transmitting unit 822d that transmits the indoor temperature set value, the indoor humidity set value, and the supply air temperature set value specified by the set value specifying unit 822c to the DDC 90.

<Operation of Air Conditioning Control System According to One Embodiment>
In the air conditioning control system 1 of the present embodiment, an operation when an optimal set value is set in the air conditioner 10 according to the indoor environment to be air-conditioned and the environment of the outside air will be described. A plurality of air conditioners 10 can be connected to the air conditioning cooperation control device 80 as shown in FIG. 1, but in order to simplify the description here, one air conditioner 10 is provided as shown in FIG. A case of controlling the air conditioning of one connected room will be described. Further, in the present embodiment, a case will be described in which the central heat source apparatus 50 is not provided in the building as shown in FIG. 2 and air conditioning control is performed by DHC (District Heating and Cooling).

  In the air-conditioning control system 1 of the present embodiment, when executing the setting processing of the set value for the air conditioner 10, the offline processing unit 81 of the air-conditioning cooperation control device 80 is in an offline state separated from various sensors and the air conditioner 10 in advance. Create an optimal operation function.

  In the air conditioning system model storage unit 811 of the offline processing unit 81, information related to the configuration of the apparatus in the air conditioning control system 1, such as identification information of the air conditioner 10 and various sensors, is stored in advance.

  In the optimization calculation unit 812 of the offline processing unit 81, a combination of an outside air temperature value, an outside air humidity value, and an sensible heat load value that is an energy value consumed by the air conditioner 10 to cool the sensible heat. Every time, a setting value for air conditioning control is calculated such that a value relating to required power in the air conditioning control system 1 is minimized with a comfort index value within a predetermined range.

In the present embodiment, as combinations of the outside air temperature value, the outside air humidity value, and the sensible heat load value of the plurality of conditions, as shown in Table 1 below, 12 kinds of outside air temperature values, 6 kinds of outside air humidity values, 6 432 combinations of mesh sensible heat load values are used.

  In the present embodiment, the energy of the working fluid (air, water, refrigerant) that minimizes the total energy consumption value in the air conditioning control system 1 using the energy consumption value as a value relating to the required power in the air conditioning control system 1. A set value for air-conditioning control is calculated by searching for a dynamic equilibrium state. The total energy consumption value in the air conditioning control system 1 is expressed by the following formula (1).

[Equation 1]
Total energy consumption = Cold water consumption energy + Pump consumption energy + Blower consumption energy (1)
For the search of the thermodynamic equilibrium state of the working fluid that minimizes the total energy consumption value in the air conditioning control system, use the algorithms described in JP 2008-232507 A and JP 2008-256258 A. Can do.

  In this embodiment, PMV is used as the comfort index value. Here, PMV used for calculation of each set value will be described.

  PMV is a variable that affects human thermal sensation against heat and cold. (A) Air temperature, (b) Relative humidity, (c) Average radiation temperature, (d) Air velocity, (e) Activity ( It is a comfort index determined using six of the internal heat generation amount of the human body) and (f) the amount of clothes.

  The amount of heat generated by a person is the sum of the amount of radiation generated by convection, the amount of heat released by radiation, the amount of heat evaporated from the person, the amount of heat released by breathing, and the amount of stored heat.If these thermal balance equations hold, the human body is thermally neutral. It is a comfortable state that is neither hot nor cold. Conversely, when the thermal balance equation breaks down, the human body feels hot and cold.

  In 1967, Prof. Fanger of the Danish Institute of Technology announced the derivation of the comfort equation, and using this as a starting point, the thermal load of the human body and the thermal sensation of humans were statistically analyzed from questionnaires of a large number of European and American subjects, PMV (Predicted Mean Vote) was proposed. In recent years, this has been taken up by the ISO standard and has recently been used frequently.

  PMV, which is an index of thermal sensation, is expressed as a numerical value based on the following seven-level evaluation scale.

+3: Hot +2: Warm +1: Slightly warm 0: None, comfortable -1: Slightly cool -2: Cool -3: Cold Note that the range of comfortable human PMV values is -0.5 to +0.5 In the present embodiment, the inside of the range of −0.5 to +0.5 is used as the predetermined range.

  Of the above six variables, the amount of activity representing work intensity usually uses the unit of metabolic rate met, and the amount of clothing uses the unit of clo.

  The unit met (met) represents the amount of metabolism, and 1 met is represented by the following formula (2) with reference to resting metabolism in a thermally comfortable state.

[Equation 2]
1met = 58.2 W / m ² = 50 kcal / m ² · h (2)
In addition, the unit clo (cloth) represents the thermal insulation of clothes, and 1clo is a room temperature of 21 ° C, relative humidity of 50%, airflow of 5cm / s or less, and the amount of heat released from the body surface is balanced with metabolism of 1met. It is a value in such a clothing state, and is expressed by the following formula (3) when converted into a normal thermal resistance value.

[Equation 3]
1clo = 0.155 m ² · ° C / W = 0.18 m ² · h · ° C / kcal (3)
The following formula (4) is used to set the PMV target value within a comfortable range (−0.5 <PMV <+0.5) on the hotter side during cooling and on the colder side during heating. By setting, the air-conditioning load can be reduced and energy saving can be achieved.

Where M: activity [kcal / h]
A: Human body surface area [m ² ]
L: Human body heat load [kcal / m ² h] (calculated from Fanger's comfort equation)
As described above, in the optimization calculation unit 812, the air conditioning control is performed in the range where the PMV value is, for example, −0.5 to +0.5 in each combination of the outside air temperature value, the outside air humidity value, and the sensible heat load value shown in Table 1. A setting value for air conditioning control that minimizes the total energy consumption value in the system 1 is calculated using quadratic programming (QP).

  Next, the optimum operation function creation unit 813 is a function that passes the set values in all the combination conditions calculated by the optimization calculation unit 812 for each of the room temperature set value, the room humidity set value, and the supply air temperature set value. An optimal operation function is created. By creating this function, the set values in any condition among the 432 conditions in Table 1 are interpolated. The creation of an optimal operation function using a spline interpolation method, which is one of interpolation methods, will be described.

  Interpolation is a calculation to find the y value on a curve for a given x value in a curve that passes through all of the given points. To perform the calculation, a curve equation is required. The case where x is one-dimensional will be briefly described (substantially the same when n-dimensional).

  From a simple consideration, it can be seen that the equation of the curve that passes through all the given points can be expressed as a (number of points – 1) polynomial. As a method of connecting a large number of points with a curve, a method is used in which two points are connected with a sequential line, each represented by a (number of points minus 1) polynomial, and a curve is drawn with these.

  The polynomial of the line connecting the two points is a linear expression based on the theory that the previous curve can be expressed by the (number of points-1) degree polynomial. However, the drawn curve must be a smooth line, not a straight line. It is desirable that the curve to be drawn is smooth and does not bend suddenly, so it must be expressed by a higher order expression. There are only two expressions between two points, so it seems impossible to do that.

  Therefore, a curve connecting the two points is drawn taking into account the points before and after. For example, as shown in FIG. 4, when r between two points to be applied when actually drawing a curve, r is a plurality of points in the section R including the preceding and following points. This is expressed as a polynomial generated using. Let this polynomial be the optimal operational function. If the plurality of points are 4 points, a cubic polynomial can be obtained, and if the points are 6 points, a quintic polynomial can be obtained.

  The points before and after r between these two points are used only in the stage of generating the formula, and when actually drawing a curve, applying only between the two points makes it possible to draw a smooth curve, Is interpolated.

  Using the spline interpolation method based on this interpolation method, the setting values for air conditioning control calculated according to the conditions in Table 1 above are connected and interpolated by the curve of the optimum operation function, and 3D is shown as an example shown by the curve. The graphs are shown in FIGS. A fine mesh in the graph is added to make it easy to see the curved surface shape by spline interpolation, and does not indicate a setting value calculated off-line by the optimization calculation unit 812.

  Fig. 5 shows the indoor temperature setting value that minimizes the energy consumption when the sensible heat load value is fixed at 19.916kw out of the six values in Table 1 and the outside air temperature value and outside air humidity value are used as variables. FIG. 6 is a graph of the optimum operation function showing the indoor humidity setting value that minimizes the energy consumption value in the same variable, and FIG. 7 is a graph of the optimum operation function showing the energy consumption value in the same variable. It is a graph of the optimal operation function which shows the supply air temperature setting value which becomes the minimum.

  For reference, FIG. 8 shows a graph in which the minimum energy consumption value under the conditions of the outside air temperature value and the outside air humidity value shown in Table 1 is interpolated with a spline curve. FIG. 8 is a smooth curved graph with no protruding portion, and it can be seen that the optimization search of the optimization calculation unit 812 of the offline processing unit 81 has been successfully performed.

  Further, FIG. 9 shows a curve obtained by interpolating the PMV value when the air-conditioning control is performed with the minimum energy consumption value of FIG. 8 with the spline curve under the conditions of the outside air temperature value and the outside air humidity value shown in Table 1 above. Show. From FIG. 9, it can be seen that PMV is within −0.5 to +0.5 under all conditions.

  The operation when the optimum setting value is set in the air conditioner 10 in the online processing unit 82 in a state where the optimum operation function of each setting value is created in the offline processing unit 81 will be described.

  First, in the function acquisition unit 822a of the operation function calculation unit 822 of the online processing unit 82, the optimum operation function of each set value created by the optimum operation function creation unit 813 of the offline processing unit 81 is obtained (S1).

  Next, in the sensible heat load calculation unit 821 of the online processing unit 82, the supply air temperature measurement value is acquired from the supply air temperature sensor 20, the indoor temperature measurement value is acquired from the indoor temperature sensor 30, and the supply air from the air volume sensor 11. An airflow measurement value is acquired (S2). Then, the sensible heat load value in the air-conditioning control target room is calculated based on the acquired supply air temperature setting value, indoor temperature measurement value, and supply air volume value (S3).

In the present embodiment, the sensible heat load value is calculated by the following equation (5).

  Here, VAV is an abbreviation for Variable Air Volume, and in this embodiment, air supply is performed by a variable air volume method.

  Since this sensible heat load value is calculated based on the measured values obtained from various sensors in the online state, the difference in the amount of solar radiation depending on the number of people in the air-conditioned room, the number of OA devices, and the window position (east, west, north, south) Different sensible heat loads are reflected in real time.

  Next, in the environmental value acquisition unit 822b of the operation function calculation unit 822, the sensible heat load value calculated by the sensible heat load calculation unit 821 is acquired, the outside air temperature measurement value measured by the outside air temperature sensor 60, and An outside air humidity measurement value measured by the outside air humidity sensor 70 is acquired (S4).

  Next, in the set value specifying unit 822c, based on the sensible heat load value, the outside air temperature measurement value, and the outside air humidity measurement value acquired by the environment value acquisition unit 822b, the optimum operation function acquired by the function acquisition unit 822a is used. The optimum indoor temperature setting value, indoor humidity setting value, and supply air temperature setting value are specified (S5).

  The indoor humidity measurement value is acquired from the indoor humidity sensor 40 and transmitted to the DDC 90 in order to control the indoor humidity.

  Then, the specified indoor temperature set value, indoor humidity set value, and supply air temperature set value are transmitted to the DDC 90 by the set value transmitting unit 822d (S6), and the air conditioner 10 operates with these set values by the DDC 90. Thus, the operation amount is calculated and transmitted to the air conditioner 10.

  According to the above-described embodiment, the optimum operation is performed based on the setting value of the air conditioner that is optimized and calculated so that the power of the air conditioner is minimized within the range of the desired comfort index value in a plurality of environmental conditions. Since the function is created offline in advance and the set value corresponding to the outside air environment and the indoor environment subject to air conditioning control is specified using this optimum operation function, the load is changed every time the outside air environment or the indoor environment changes. There is no need for high optimization calculations, and stable and efficient air conditioning control can be performed.

  In the present embodiment, the optimization calculation unit 812 uses quadratic programming (QP). However, the present invention is not limited to this method. For example, a nonlinear least square method or nonlinear programming is used. An optimization operation may be performed. In addition, as a method of creating this optimal operation function, it is possible to obtain an optimal operation function by approximating it with a polynomial by multiple regression analysis, but it is available throughout the year including not only the cooling period but also the period of outside air cooling and heating etc. In some cases, accuracy may be limited.

  In the above embodiment, the case where the central heat source device is not provided in the air conditioning control target building as shown in FIG. 2 has been described. However, as shown in FIG. 1, the refrigerator of the central heat source device 50 in each building. 51 and a cooling tower 52 may be provided. In this case, a value represented by the following equation (6) is used as the total energy consumption value in the air conditioning control system when the optimization calculator 812 calculates the set value of the air conditioner.

[Equation 6]
Total energy consumption = Cooling tower energy consumption + Refrigerator energy consumption + Cold water energy consumption + Pump energy consumption + Blower energy consumption (6)
When the building has a central heat source device, the temperature of the cold water generated by the central heat source device is set in addition to the indoor temperature setting value, indoor humidity setting value, and supply air temperature setting value as the setting values for air conditioning control. A set value, a flow rate set value, or the like may be specified and output to the DDC.

In the present embodiment, the case has been described in which the set values specified by the set value specifying unit of the operation function calculating unit are the indoor temperature set value, the indoor humidity set value, and the supply air temperature set value. The outside air introduction amount set value is specified based on the measured value of a CO ₂ sensor (not shown) provided in the air conditioning control target room, and the air conditioner is set based on the specified outside air introduction amount setting value. The damper opening for introducing the outside air may be controlled. In this case, an optimum operation function relating to the CO ₂ concentration and the outside air introduction amount is also created in advance in the offline processing unit.

Further, in the present embodiment, the setting value is calculated so that the energy consumption value is minimized when the setting value is calculated in the optimization calculation unit of the offline processing unit. Depending on the demands of the building owner, etc., it may be possible to calculate a setting value that minimizes the cost required for the operation, or a setting value that minimizes the amount of CO ₂ generated by the operation of the required power. These may be changed.

  In the present embodiment, the case where the measured values measured by the indoor temperature sensors 30 and the indoor humidity sensors 40 are transmitted to the air conditioning cooperation control device 80 via the air conditioner 10 has been described. Instead, it may be transmitted directly from each sensor to the air conditioning cooperation control device 80.

  In this embodiment, PMV is used as a comfort index for human thermal sensation. However, the present invention is not limited to this, and air conditioning control may be performed using a standard effective temperature or a new effective temperature.

  In addition, this invention is not limited to the said embodiment, In the range which does not deviate from the summary, it can change and implement variously.

DESCRIPTION OF SYMBOLS 1 ... Air conditioning control system 10 ... Air conditioner 11 ... Air flow sensor 20 ... Supply air temperature sensor 30 ... Indoor temperature sensor 40 ... Indoor humidity sensor 50 ... Central heat source apparatus 51 ... Refrigerator 52 ... Cooling tower 53 ... Water supply pump 60 ... Outside air temperature Sensor 70 ... Outside air humidity sensor 80 ... Air conditioning cooperation control device 81 ... Offline processing unit 82 ... Online processing unit 90 ... DDC
811 ... Air conditioning system model storage unit 812 ... Optimization calculation unit 813 ... Optimal operation function creation unit 821 ... Sensible heat load calculation unit 822 ... Operation function calculation unit 822a ... Function acquisition unit 822b ... Environment value acquisition unit 822c ... Setting value identification unit 822d: Setting value transmission unit

Claims (6)

In the air conditioning control device connected to the air conditioner installed for each indoor space subject to air conditioning control,
Each of the combinations of a value indicating the environment of the outdoor air of a plurality of conditions and a value indicating the air conditioning environment of each indoor space of the air conditioning control target of the plurality of conditions relates to the required power of the air conditioning control with a comfort index value within a predetermined range. Optimum setting value for air-conditioning control that minimizes the value is calculated in advance by optimization calculation, and a function that passes through the setting value under all conditions is created in advance as an optimum operation function for each type of the setting value. Operational function creation part,
An environmental value acquisition unit that acquires a measured value indicating an ambient air environment and a measured value indicating an air-conditioning environment for each indoor space of the air-conditioning control target;
Based on the optimum operation function created by the optimum operation function creation unit, it corresponds to the measurement value indicating the outside air environment acquired by the environment value acquisition unit and the measurement value indicating the air-conditioning environment for each indoor space to be air-conditioned. A set value specifying unit for specifying a set value for the air conditioning control,
A set value sending unit for sending the set value specified by the set value specifying unit to cause the air conditioner to set;
An air-conditioning control device comprising: An air conditioner installed for each indoor space subject to air conditioning control;
The required power of the air conditioning control with a comfort index value within a predetermined range for each combination of a value indicating the environment of the outdoor air of a plurality of conditions and a value indicating the air conditioning environment of each indoor space of the air conditioning control target of the plurality of conditions A setting value for air conditioning control that minimizes the value for the air conditioning control is calculated in advance by optimization calculation, and a function that passes through the setting value in all conditions is created in advance as an optimum operation function for each type of the setting value. In the air conditioning control device connected to the optimum operation function creation device,
An environmental value acquisition unit that acquires a measured value indicating an ambient air environment and a measured value indicating an air-conditioning environment for each indoor space of the air-conditioning control target;
Based on the optimum operation function created by the optimum operation function creation device, it corresponds to the measurement value indicating the outside air environment acquired by the environment value acquisition unit and the measurement value indicating the air-conditioning environment for each indoor space to be air-conditioned. A set value specifying unit for specifying a set value for the air conditioning control,
A set value sending unit for sending the set value specified by the set value specifying unit to cause the air conditioner to set;
An air-conditioning control device comprising: The value related to the power required for the air conditioning control is any of the energy consumption value due to the operation of the power required for the air conditioning control, the cost required for the operation of the power required for the air conditioning control, or the amount of CO ₂ generated by the operation of the power required for the air conditioning control. The air-conditioning control apparatus according to claim 1 or 2, wherein The values indicating the environment of the outside air are an outside air temperature value and an outside air humidity value,
The value indicating each indoor space of the air conditioning control target is a sensible heat load value,
The type of the set value includes at least an indoor temperature set value, an indoor humidity set value, or an air supply temperature set value in a room subject to air conditioning control. Air conditioning control device. It is further connected to a central heat source device that generates cold / hot water to be supplied to the air conditioner for use in air conditioning control,
The air conditioning control device according to claim 4, further comprising a temperature setting value of the cold / hot water or a flow rate setting value supplied to the air conditioner as a value relating to the required power of the air conditioning control. The air conditioning control device according to claim 1, wherein the optimum operation function is created by a spline interpolation method.

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