JP7640762B2 - Air conditioning system control device, control program, and air conditioning system - Google Patents

Description

The present invention relates to an air conditioning system control device, a control method, a control program, and an air conditioning system.

In recent years, computers have been used to control air conditioning systems (see, for example, Patent Documents 1-5).

JP 2018-031536 A JP 2018-031538 A JP 2018-031537 A JP 2018-031534 A JP 2018-031535 A

Performance indicators for an air conditioning system include, for example, primary energy consumption, energy consumption cost, carbon dioxide emissions, and system COP (Coefficient of Performance). The air conditioning system manager then selects from among multiple performance indicators the one that will be given priority for control, and operates the air conditioning system so that the selected performance indicator is at an optimal value.

The heat source machines used in air conditioning systems include turbo chillers, absorption chillers, air-cooled heat pumps, heat storage tanks, and various other types. The characteristics of each heat source machine are different. Therefore, in an air conditioning system that has multiple types of heat source machines, to operate the air conditioning system so that a specific performance index is at an optimal value, it is necessary to determine the load distribution of each heat source machine while taking into account the characteristics and operating conditions of each heat source machine. Therefore, to operate the air conditioning system so that a specific performance index is at an optimal value, complex calculations that take into account the characteristics and operating conditions of each heat source machine are required, and it is not easy to change the performance index that is prioritized for control among the multiple performance indexes.

Therefore, this application discloses an air conditioning control technology that can speed up calculation processing when changing the performance index that is prioritized for control in an air conditioning system that has multiple types of heat source units.

In order to solve the above problem, in the present invention, the calculation of the performance index of each heat source machine when each heat source machine is operated with a specific load distribution is performed for each load distribution while gradually changing the load distribution based on characteristic data for each of multiple types of performance indexes, and the load distribution of each heat source machine when the entire air conditioning system is optimal with one performance index is extracted based on the total value of the calculated performance index of each heat source machine.

In detail, the present invention is a control device for an air conditioning system having multiple types of heat source machines, and includes a memory unit in which characteristic data of each heat source machine is stored, and a processing unit that determines the load allocation of each heat source machine based on the data in the memory unit, and the processing unit executes a first process of calculating a performance index of each heat source machine when the performance index of each heat source machine is optimal when each heat source machine is operated with a specific load allocation, for each load allocation while gradually changing the load allocation based on the characteristic data for each of the multiple types of performance indexes, and a second process of extracting a load allocation of each heat source machine for which any one performance index selected from the multiple types of performance indexes is optimal among the performance indexes of the entire air conditioning system, based on the total value of the performance indexes of each heat source machine calculated by the first process, and identifying the operating conditions of each heat source machine for which the selected performance index is optimal in the extracted load allocation from the calculation results of the first process.

Here, a performance index is a quantitative expression of performance, and examples of such indicators include primary energy consumption, energy consumption cost, carbon dioxide emissions, and coefficient of performance (COP).

In the above control device, the first process and the second process are executed to extract the load distribution of each heat source machine that optimizes the performance index and to specify the operating conditions of each heat source machine. The load distribution of each heat source machine that optimizes the performance index is simply extracted from the calculation results already obtained for all types of performance index by the first process. Therefore, even if the performance index prioritized in the control of the air conditioning system is changed, for example, the load distribution of each heat source machine that optimizes the newly selected performance index and the operating conditions of each heat source machine can be extracted and the operating conditions of each heat source machine can be specified without executing the first process again. Therefore, with the above control device, even if the performance index prioritized in the control is changed from among multiple performance indexes, the load distribution of each heat source machine that optimizes the performance index selected by the change can be extracted and the operating conditions of each heat source machine can be specified without performing complex calculations again taking into account the characteristics and operating conditions of each heat source machine.

The processing unit may perform the first process within a load distribution range in which the power consumption of the air conditioning system does not exceed an upper limit, or within a load distribution range in which the power consumption does not fall below the minimum gas consumption required for the air conditioning system. A control device equipped with such a processing unit can further reduce the load of the first process.

Furthermore, when the selected performance index is changed, the processing unit may further execute a third process to extract a load distribution for each heat source machine that optimizes the performance index selected by the change among the performance indexes of the entire air conditioning system based on the total value of the performance indexes for each heat source machine calculated by the first process, and to extract, from the calculation result of the first process, the operating conditions for each heat source machine that optimize the selected performance index in the extracted load distribution. A control device equipped with such a processing unit can extract the load distribution for each heat source machine and the operating conditions for each heat source machine that optimize the performance index selected by the change.

The present invention can also be understood from the aspects of a method, a program, and a system. For example, the present invention may be a control method for an air-conditioning system in which a control device of an air-conditioning system having a plurality of types of heat source machines performs a first process of calculating the operating conditions and performance indexes of each heat source machine when the performance index of each heat source machine is optimal when each heat source machine is operated with a specific load distribution, for each load distribution while gradually changing the load distribution based on the characteristic data of each heat source machine for each of the plurality of types of performance indexes, and a second process of extracting the load distribution of each heat source machine for which the selected performance index of the entire air-conditioning system is optimal based on the total value of the performance indexes of each heat source machine calculated by the first process, and extracting the operating conditions of each heat source machine for which the selected performance index is optimal in the extracted load distribution from the calculation result of the first process.

The above air conditioning system control device, control method, control program, and air conditioning system can speed up calculation processing when changing the control priority from among multiple performance indicators.

FIG. 1 is a diagram showing an example of an air conditioning system. FIG. 2 is a flowchart showing an outline of the process executed by the control device. FIG. 3 is a diagram showing an image of the above series of processing steps. FIG. 4 is a first flowchart showing a specific example of the process executed by the control device. FIG. 5 is a second flowchart showing a specific example of the process executed by the control device 2. As shown in FIG. FIG. 6 is a flow chart showing the process contents of step S104. FIG. 7 is a flow chart showing the process content of step S106. FIG. 8 is a table comparing the energy consumption costs of heat source equipment. FIG. 9 is a table comparing the amount of carbon dioxide emissions from heat source equipment. FIG. 10 is a table comparing the primary energy consumption of heat source equipment.

The following describes an embodiment of the present invention. The embodiment described below is an example of an embodiment of the present invention, and does not limit the technical scope of the present invention to the following aspects.

Figure 1 is a diagram showing an example of an air conditioning system. As shown in Figure 1, the air conditioning system 1 includes a control device 2 and multiple types of heat source machines. As shown in Figure 1, the heat source machines included in the air conditioning system 1 include, for example, a turbo chiller 3A, an absorption type chiller/heater 3B, an air-cooled (or water-cooled) heat pump 3C, and a heat storage tank 3D, but the air conditioning system 1 is not limited to having all of these. In addition, the air conditioning system 1 may include heat source machines other than the turbo chiller 3A, the absorption type chiller/heater 3B, the air-cooled heat pump 3C, and the heat storage tank 3D. The heat of each heat source machine in the air conditioning system 1 is transported by liquid or air to the air conditioning device, and then transported by air or liquid from the air conditioning device to the room 4 to be air-conditioned.

The control device 2 is a device that controls the operation of each heat source unit and other air conditioning equipment. The control device 2 may be located either in the building in which the room 4 is located, or in a location remote from where the building is located. The control device 2 receives information from the controllers of each heat source unit and other air conditioning equipment, information from various sensors provided in the air conditioning system 1, the set temperature input via the operation panel in the room 4, information sent via a network, and various other information. The control device 2 determines the load distribution and operating conditions of each heat source unit based on this information.

Below, an overview of the processing executed by the control device 2 will be described. Fig. 2 is a flowchart showing an overview of the processing executed by the control device 2. The control device 2 is a computer equipped with a storage device in which characteristic data of each heat source unit is stored, a CPU (Central Processing Unit) that determines load distribution to each heat source unit based on data in the storage device, an input/output interface, etc., and the CPU executes a computer program deployed in the memory to realize the following processing.

In other words, when processing the thermal load required for the entire air conditioning system 1, the control device 2 executes a first process (S1 to S5) in which the operating conditions and performance indexes of each heat source unit when each heat source unit is operated with a specific load distribution are calculated for each load distribution while gradually changing the load distribution based on characteristic data for each of multiple types of performance indexes, and a second process (S6) in which the load distribution of each heat source unit for which any one performance index selected from multiple types of performance indexes is optimal among the performance indexes of the entire air conditioning system 1 is extracted based on the total value of the performance indexes of each heat source unit calculated by the first process, and the operating conditions of each heat source unit for which the selected performance index is optimal in the extracted load distribution are extracted from the calculation results of the first process.

Here, a performance index is something that quantitatively represents performance, and examples of such indicators include primary energy consumption, energy consumption cost, carbon dioxide emissions, and system COP.

In the processing of step S1, the control device 2 gradually assumes the load allocation of each heat source machine within the range of 0% to 100% so that the sum of the load allocations of all the heat source machines is 100% when the load allocation ratio of each heat source machine is expressed as a percentage. For example, if the control device 2 assumes that the load allocation of the turbo chiller 3A is 40%, the load allocation of the absorption chiller/heater 3B is 20%, and the load allocation of the air-cooled heat pump 3C is 20%, then the control device 2 assumes that the load allocation of the heat storage tank 3D is 20%. Each time the control device 2 executes the processing of step S1, it changes the load allocation of each heat source machine by a predetermined rate of change (for example, 1%).

In the process of step S2, the control device 2 calculates the optimal operating conditions for each heat source. The optimal operating conditions are the operating conditions when the performance index of the heat source is optimal when producing the amount of heat determined from the load distribution in step S1, and are calculated using characteristic data of each heat source unit pre-stored in the storage device of the control device 2. For example, in the case of the optimal operating conditions for the turbo chiller 3A, the power consumption of the turbo chiller 3A is calculated by repeated calculations while gradually changing the values of the operating conditions such as the cooling water temperature, thereby identifying the values of the operating conditions when the power consumption of the turbo chiller 3A, including auxiliary equipment such as pumps, is minimized.

In the processing of step S3, the control device 2 calculates the values of all performance indexes for each heat source. The control device 2 provides four options for performance indexes that can be prioritized in the operation of the air conditioning system 1: primary energy consumption, energy consumption cost, carbon dioxide emissions, and system COP. The manager of the air conditioning system 1 can select any one of these performance indexes. Therefore, in the processing of step S3, the control device 2 calculates the values of all four performance indexes, primary energy consumption, energy consumption cost, carbon dioxide emissions, and system COP, for each heat source.

In the processing of step S4, the control device 2 adds up the values of the performance indexes calculated in step S3 and calculates the total value of the performance indexes of all heat source units for each of the four performance indexes.

In the process of step S5, the control device 2 judges whether or not the series of calculation processes from step S1 to step S4 has been completed for all combinations of all load distributions. For example, in step S1, if the load distribution of four types of heat source machines is changed by 1%, a positive judgment is made in the process of step S5 when the series of calculation processes from step S1 to step S4 have been performed for all 1 million combination patterns.

In the process of step S6, the control device 2 compares the total values of the performance indexes for each combination of load distribution calculated in the process of step S4, and extracts a load distribution for each heat source unit that optimizes one of the performance indexes selected by the manager of the air conditioning system 1 from among the performance indexes of the entire air conditioning system 1. The control device 2 also extracts optimal operating conditions for the extracted load distribution from the calculation results of step S2. The control device 2 then sends control signals to the controllers of each heat source unit and other equipment of the air conditioning system 1 so that each heat source unit and other equipment of the air conditioning system 1 operates according to the load distribution and optimal operating conditions extracted in the process of step S6.

The outline of the processing executed by the control device 2 is as above. FIG. 3 is a diagram showing the above series of processing contents in an image. In the control device 2, when processing the thermal load (heat source required load) required for the entire air conditioning system 1, the method (rule engine) for determining the optimal operating conditions realized by the above series of processing flows is used, so that the load distribution of each heat source machine and the operating conditions of each heat source machine that optimize the performance index can be determined. In addition, the load distribution of each heat source machine and the operating conditions of each heat source machine that optimize the performance index extracted in step S6 are simply extracted from the calculation results already obtained for all types of performance index by the series of processing from step S1 to step S5. Therefore, for example, when the manager of the air conditioning system 1 changes the performance index prioritized in the control of the air conditioning system 1, the load distribution of each heat source machine and the operating conditions of each heat source machine that optimize the newly selected performance index can be extracted by simply executing the processing of step S6 without executing the series of processing from step S1 to step S5 again.

Specific examples of the processing executed by the control device 2 will be described in detail below. FIG. 4 is a first flowchart showing a specific example of the processing executed by the control device 2. FIG. 5 is a second flowchart showing a specific example of the processing executed by the control device 2. Specific examples of the processing executed by the control device 2 will be described with reference to the flowcharts of FIG. 4 and FIG. 5.

When the total amount of thermal load required to be processed by the entire air conditioning system 1 (required heat load of the entire air conditioning system 1) is input and an evaluation item is selected, the control device 2 executes a series of processes from step S101 to step S106, which correspond to step S1 described above.

That is, when the load distribution ratio of each heat source machine is expressed as a percentage, the control device 2 gradually assumes the load distribution of each heat source machine within the range of 0% to 100% so that the sum of the load distribution of all heat source machines is 100% (S101). Since this load distribution is the ratio of the load distribution of each heat source machine expressed as a percentage, it is hereafter referred to as the load distribution rate. If the priority order of the heat sources is set by the administrator of the air conditioning system 1, the control device 2 corrects the assumed range of the load distribution rate according to that order. Furthermore, if the constraint conditions for the air conditioning system 1 are set by the administrator of the air conditioning system 1, the control device 2 corrects the assumed range of the load distribution rate to satisfy those conditions.

For example, if an upper limit is set on the power consumption of the entire air conditioning system 1 due to a contract between the manager of the air conditioning system 1 and the power company, and the manager of the air conditioning system 1 sets an upper limit value for power consumption (power demand value), the control device 2 makes a positive determination in the process of determining whether or not the upper limit value exists (S103).Then, the control device 2 refers to the characteristic data related to the power consumption of each heat source unit, and corrects the assumed range of the load distribution rate so that the power consumption of the entire air conditioning system 1 does not exceed the upper limit value (S104).

Figure 6 is a flow chart showing the processing contents of step S104. In the graph of Figure 6, the heat quantity (load distribution quantity) on the horizontal axis is expressed as a percentage of the production capacity of the heat source machine. In the processing of step S104, the control device 2 specifies the relationship between the required load heat quantity and the power consumption for each heat source machine based on the characteristic data of each heat source machine (S104A), and corrects the upper limit value of the assumed range of the load distribution rate for each type of heat source machine so that the power consumption of the entire air conditioning system 1 does not exceed the power demand value (S104B). Since the system power consumption of the heat source machine system is a value obtained by dividing the production heat quantity by the system COP of the system, for example, if the relationship between the system COP and the production heat quantity of the heat source machine system is already prepared as the characteristic data of the heat source machine, the formula representing the characteristic data can be modified to set the left term (vertical axis) to the power consumption and the right term (horizontal axis) to the value obtained by dividing the production heat quantity by the system COP, thereby obtaining characteristic data (graph) showing the relationship between the required load heat quantity and the power consumption of the heat source machine. Therefore, by using this characteristic data, the control device 2 can identify a required load heat quantity that does not exceed the power demand value.

4, the process after step S104 will be described. For example, the air conditioning system 1 may be shut down due to a contract between the manager of the air conditioning system 1 and the gas company.
In the case where a lower limit is set for the gas consumption to be processed by the entire air conditioning system 1 and the manager of the air conditioning system 1 has set a minimum gas consumption amount, the control device 2 makes a positive determination in the process of determining whether or not the minimum gas consumption amount exists (S105).The control device 2 then refers to the characteristic data related to the gas consumption amount of each heat source unit, and corrects the assumed range of the load distribution rate so that the gas consumption amount of the entire air conditioning system 1 does not fall below the minimum gas consumption amount (S106).

Figure 7 is a flow chart showing the processing content of step S106. In the graph of Figure 7, the heat quantity (load allocation amount) on the horizontal axis is expressed as a percentage of the production capacity of the heat source unit. In the processing of step S106, the control device 2 refers to characteristic data showing the relationship between the required load heat quantity and the gas consumption amount for each heat source unit (S106A), and modifies the lower limit value of the assumed range of the load allocation rate for each type of heat source unit so as not to fall below the minimum gas consumption amount (S106B).

Referring again to the flowchart in FIG. 4, the process after step S105 will be described. After the control device 2 determines the assumed range of the load distribution ratio by the series of processes from step S101 to step S106, it executes a series of processes from step S107 to step S118, which corresponds to the series of processes from step S2 to step S5 described above.

That is, the control device 2 first calculates the amount of heat production (load allocation amount) that each heat source unit should produce from the above load allocation rate (S107). For example, if the required load heat amount of the entire air conditioning system 1 is 100 kW, and the load allocation rate of the turbo chiller 3A is 30%, the load allocation rate of the absorption chiller/heater 3B is 30%, the load allocation rate of the air-cooled heat pump 3C is 20%, and the load allocation rate of the heat storage tank 3D is 20%, the control device 2 calculates the amount of heat production of the turbo chiller 3A to be 30 kW, the amount of heat production of the absorption chiller/heater 3B to be 30 kW, the amount of heat production of the air-cooled heat pump 3C to be 20 kW, and the amount of heat production of the heat storage tank 3D to be 20 kW.

Next, the control device 2 identifies the optimal operating conditions of each heat source device based on the outdoor air conditions such as temperature and relative humidity and the amount of heat produced (S108). The optimal operating conditions of each heat source device are identified as follows. For example, the turbo chiller 3A is equipped with a pump for circulating chilled water and a pump for circulating cooling water. Therefore, when processing a specific required load heat amount, an example of an operating condition in which the total value of the power consumption of the entire heat source device system including these auxiliary devices is the smallest can be said to be the optimal operating condition. In order to identify such an optimal operating condition, the control device 2 reads out characteristic data showing the correlation between the operating state of each device and the device-specific COP, and identifies the control target value of each device when the COP of the heat source device system is maximized. In this identification, the control device 2 infers various parameters such as chilled water temperature based on virtual indoor design conditions and virtual air conditioner design prepared in advance for calculation, and identifies the control target value based on this inference. When multiple heat source devices and auxiliary devices are prepared in parallel, the number of these operating devices is determined, for example, based on an operation design sheet in which the number of operating devices is defined in advance for each chilled water temperature and each cooling water temperature. The optimal operating conditions of each heat source machine may be the same as or different from the performance index selected for the optimization calculation for each heat source and the performance index selected for the calculation in multiple units. For example, the optimization calculation for each heat source may select primary energy consumption, and the performance index selected for the calculation in multiple units may select energy cost. If one of the performance indexes selected for the optimization calculation is selected, both the optimization calculation for each heat source and the performance index selected for the calculation in multiple units may be set to the selected performance index, or they may be set individually. The performance index selected for the optimization calculation may be any one of the four, primary energy consumption, energy consumption cost, carbon dioxide emissions, and COP, or may be another index.

Next, the control device 2 derives the individual COP of each heat source unit from the characteristic data of each heat source unit based on the operating conditions specified in step S108 (S109). Then, the control device 2 calculates the energy consumed by each heat source unit alone (heat source input energy) by dividing the amount of heat produced by the individual COP (S110). That is, the control device 2 calculates the energy consumed by each heat source unit alone using the following formula (1).

Heat source input energy (kW) = produced heat (kW) / unit COP (1)

Next, the control device 2 calculates the performance index of each heat source machine. That is, the control device 2 determines the type of energy (electricity or gas) consumed by each heat source machine (S111). Then, if the heat source machine consumes electricity, the control device 2 executes a process (S112) to calculate the power consumption of the heat source machine and auxiliary machines, and then executes a process (S113) to calculate the performance index of the heat source machine system including the auxiliary machines based on the calculated power consumption. Also, if the heat source machine consumes gas, the control device 2 executes a process (S114) to calculate the gas consumption of the heat source machine, and then executes a process (S115) to calculate the performance index of the heat source machine system based on the calculated gas consumption.

The control device 2 calculates the power consumption amount in step S112 using, for example, the following formula (2).

Power consumption (kWh) = Σ (heat source input energy (kW) + auxiliary power (kW)) × predetermined time (h) ... (2)

Furthermore, the control device 2 calculates the amount of primary energy consumption, which is one of the performance indexes in step S113, by using, for example, the following formula (3).

Primary energy consumption (MJ) = power consumption (kWh) × primary energy consumption conversion coefficient (MJ/kWh) (3)
(The primary energy consumption conversion factor varies depending on the region and where the electricity is purchased.)

Furthermore, the control device 2 calculates the energy cost, which is one of the performance indexes in step S113, by using, for example, the following formula (4).

Energy cost (yen) = power consumption (kWh) × electricity price (yen/kW) ... (4)
(Electricity prices vary depending on the contract and time of day)

Furthermore, the control device 2 calculates the carbon dioxide emission amount, which is one of the performance indexes in step S113, by using, for example, the following formula (5).

CO ₂ emissions (t-CO ₂ ) = power consumption (kWh) x CO ₂ emissions coefficient (t-CO ₂ /kWh) (5)
( _CO2 emission coefficients vary depending on the region and the electricity supplier.)

Furthermore, the control device 2 calculates the system COP of the heat source machine system, which is one of the performance indexes in step S113, by using, for example, the following formula (6).

System COP = (amount of heat produced (kW) x predetermined time (h)) / power consumption (kWh) (6)

Furthermore, the control device 2 calculates the gas consumption amount in step S114 using, for example, the following formula (7).

Gas consumption (Nm ³ )=heat source input energy (kW)×predetermined time (h)×3.6 (MJ/kWh)/heat generation amount (MJ/Nm ³ ) (7)

Furthermore, the control device 2 calculates the primary energy consumption amount, which is one of the performance indexes in step S115, by using, for example, the following formula (8).

Primary energy consumption (MJ)=gas consumption (Nm ³ )×heat generation (MJ/Nm ³ ) (8)
(The primary energy consumption conversion factor varies depending on the region and where the electricity is purchased.)

Furthermore, the control device 2 calculates the energy cost, which is one of the performance indexes in step S115, by using, for example, the following formula (9).

Energy cost (yen) = gas consumption (Nm ³ ) × gas/electricity (yen/Nm ³ ) (9)
(Gas prices vary depending on the contract)

Furthermore, the control device 2 calculates the carbon dioxide emission amount, which is one of the performance indexes in step S115, by using, for example, the following formula (10).

CO ₂ emissions (t-CO ₂ ) = Primary energy consumption (MJ) x CO ₂ emissions coefficient (t-CO ₂ /MJ) ... (10)

Furthermore, the control device 2 calculates the system COP of the heat source machine system, which is one of the performance indexes in step S115, by using, for example, the following formula (11).

System COP = (amount of heat produced (kW) x predetermined time (h)) / (input energy (kWh) + auxiliary power (kWh)) ... (11)

The control device 2 repeatedly executes the series of processes from step S107 to step S115 until the calculation is completed for all types of heat source machines (S116). That is, since the air conditioning system 1 is equipped with four types of heat source machines, namely, the turbo chiller 3A, the absorption chiller/heater 3B, the air-cooled heat pump 3C, and the heat storage tank 3D, the control device 2 repeatedly executes the series of processes from step S107 to step S115 four times.

The control device 2 performs a series of processes from step S107 to step S115 until calculations are completed for all types of heat source units, and then adds up the performance indexes of all types of heat source units and calculates the performance index of the entire air conditioning system 1 for each combination of load distribution rates (S117).
That is, the control device 2 calculates, for each combination of load distribution rates, the primary energy consumption, the energy consumption cost, the carbon dioxide emissions, and the system COP of the entire air conditioning system 1. The control device 2 performs the calculation of each performance index of the entire air conditioning system 1 until it is completed for all combination patterns of load distribution rates within the assumed range (S118).

After the control device 2 has completed the calculation of each performance index of the entire air conditioning system 1 for all combination patterns of load distribution rates within the assumed range, it executes a series of processes from step S119 to step S121, which corresponds to step S6 described above.

That is, the control device 2 extracts a combination of load distribution (load distribution amount) when the performance index selected by the manager of the air conditioning system 1 is the optimal value based on the calculation results of each performance index of the entire air conditioning system 1 in all combination patterns of load distribution rates within the assumed range obtained by repeating the processes from step S101 to step S118 (S119). If the performance index selected by the manager of the air conditioning system 1 is, for example, primary energy consumption, the control device 2 extracts the load distribution amount when the primary energy consumption is the smallest value. Also, if the performance index selected by the manager of the air conditioning system 1 is, for example, the energy consumption cost, the control device 2 extracts a combination of load distribution amounts when the energy consumption cost is the smallest value. Also, if the performance index selected by the manager of the air conditioning system 1 is, for example, the carbon dioxide emission amount, the control device 2 extracts a combination of load distribution amounts when the carbon dioxide emission is the smallest value. Furthermore, if the performance index selected by the manager of the air conditioning system 1 is, for example, the system COP, the control device 2 extracts a combination of load distribution amounts that results in the highest system COP value.

In addition, when the manager of the air conditioning system 1 changes the performance indexes to be prioritized in the control of the air conditioning system 1 (S120), the control device 2 extracts, from the already calculated results of each performance index of the entire air conditioning system 1, a combination of load distribution amounts in which the performance indexes newly selected by the manager of the air conditioning system 1 are optimal values.

Figure 8 is a table comparing the energy consumption costs of heat source equipment. Also, Figure 9 is a table comparing the carbon dioxide emissions of heat source equipment. Also, Figure 10 is a table comparing the primary energy consumption of heat source equipment. The values shown in each table of Figures 8 to 10 are examples, and the equipment provided in the air conditioning system 1 of this embodiment is not limited to those having such capabilities. For example, when comparing a turbo chiller 3A and an absorption type chiller/heater 3B with the same cooling capacity, if the COP is the value shown in the figure, it can be seen that even if the turbo chiller 3A has a higher COP, the absorption type chiller/heater 3B has a lower energy cost. It can also be seen that the carbon dioxide emissions and primary energy consumption are lower for the turbo chiller 3A. As such, since each heat source equipment has various characteristics, in the case of a system equipped with multiple types of heat source equipment such as the air conditioning system 1, the load distribution amount at which the performance index of the air conditioning system 1 is optimal changes depending on the type of performance index selected by the manager of the air conditioning system 1.

In this regard, in the air conditioning system 1, the load allocation amount of each heat source machine and the operating conditions of each heat source machine that optimize the performance index are determined by the control device 2 executing the above-mentioned series of processes from step S101 to step S121. The load allocation amount of each heat source machine and the operating conditions of each heat source machine that optimize the performance index are simply extracted from the calculation results already obtained for all types of performance indexes by the series of processes from step S101 to step S118. Therefore, even if the manager of the air conditioning system 1 changes the performance index prioritized in the control of the air conditioning system 1, the load allocation amount of each heat source machine and the operating conditions of each heat source machine that optimize the newly selected performance index can be extracted by simply executing the process of step S121. Therefore, even if the one prioritized in the control is changed from among multiple performance indexes, the load allocation amount of each heat source machine and the operating conditions of each heat source machine that optimize the performance index selected by the change can be extracted without performing complex calculations again taking into account the characteristics and operating conditions of each heat source machine.

The air conditioning system 1 of the above embodiment is not limited to the one in which the control device 2 executes all of the above series of processes from step S101 to step S121. For example, the air conditioning system 1 of the above embodiment may be one in which the control device 2 omits the processes from step S102 to step S106, or other changes may be added. In addition, in the air conditioning system 1 of the above embodiment, the control device 2 performs calculations using relative values that are the ratios of the heat production amount of each heat source unit in the above series of processes, but the control device 2 may perform calculations using absolute values that are the ratios of the heat production amount to the heat production amount or rated capacity of each heat source unit. In addition, in the air conditioning system 1 of the above embodiment, the control device 2 calculates the values of the performance indexes for each heat source for all four performance indexes, namely, primary energy consumption, energy consumption cost, carbon dioxide emission amount, and system COP, but the control device 2 may calculate the value of any one of these four performance indexes for each heat source.

1. Air conditioning system 2. Control device 3A. Turbo refrigerator 3B. Absorption type hot and cold water machine 3C. Air-cooled heat pump 3D. Heat storage tank 4. Indoor

Claims (9)

A control device for an air conditioning system having a plurality of types of heat source machines,
A storage unit in which characteristic data of each heat source unit, virtual indoor design conditions of a room to be air-conditioned by the air-conditioning system, and virtual air-conditioner designs of air-conditioners provided in the air-conditioning system are stored;
A processing unit that determines an amount of heat to be produced by each of the heat source units using information from the storage unit;
an input/output interface;
When processing a thermal load required for the entire air conditioning system, the processing unit
Using the inference of various parameters related to the operating conditions of each heat source device,
Outputting control target values of the various parameters when optimal for each of the multiple types of performance indexes of each of the heat source machines;
The processing unit includes:
Calculation of the performance index of each heat source machine when each heat source machine is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes, and a process of calculating the performance index of the entire air conditioning system for each combination of load distribution is performed,
A load distribution that optimizes the system COP is determined within a range of load distribution in which the power consumption of the entire air conditioning system does not exceed an upper limit value.
Air conditioning system control device. A control device for an air conditioning system having a plurality of types of heat source machines,
A storage unit in which characteristic data of each heat source unit, virtual indoor design conditions of a room to be air-conditioned by the air-conditioning system, and virtual air-conditioner designs of air-conditioners provided in the air-conditioning system are stored;
A processing unit that determines an amount of heat to be produced by each of the heat source units using information from the storage unit;
an input/output interface;
When processing a thermal load required for the entire air conditioning system, the processing unit
Using the inference of various parameters related to the operating conditions of each heat source device,
Outputting control target values of the various parameters when optimal for each of the multiple types of performance indexes of each of the heat source machines;
The processing unit includes:
Calculation of the performance index of each of the heat source machines when each of the heat source machines is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes,
After calculating the performance index of the entire system for each combination of load distribution,
Determine a load distribution that optimizes the system COP within a range of load distribution that does not fall below a minimum gas consumption required for the air conditioning system;
Air conditioning system control device. The processing unit includes:
Based on the set temperature, outdoor air conditions, the characteristic data, the virtual indoor design conditions, and the virtual air conditioner design input from the indoor operation panel via the input/output interface,
Calculating the required load heat quantity of the entire air conditioning system and the load distribution ratio of each heat source unit;
Calculating the amount of heat to be produced by each heat source device according to the load distribution ratio;
The control device for an air conditioning system according to claim 1 or 2 . The processing unit includes:
After executing each of the above processes, re-execute a process of outputting control target values of the various parameters that are optimal for each of the multiple types of performance indexes of each of the heat source machines.
The control device for an air conditioning system according to any one of claims 1 to 3 . The total value of the performance indexes of each of the heat source machines has a data structure that combines at least the type of each of the heat source machines, the load distribution of each of the heat source machines, each performance index, and the value of each performance index.
The control device for an air conditioning system according to any one of claims 1 to 4 . A computer for an air conditioning system with multiple types of heat source units,
Acquire characteristic data of each heat source unit stored in a storage unit, virtual indoor design conditions of the room to be air-conditioned by the air conditioning system, virtual air conditioner designs of air conditioners provided in the air conditioning system, outdoor air conditions, and the amount of heat to be produced by each heat source unit;
Inferring various parameters related to the operating conditions of each of the heat source machines;
A control program for outputting control target values of the various parameters when each of the heat source machines is optimal for each of a plurality of types of performance indexes,
Calculation of the performance index of each heat source machine when each heat source machine is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes, and a process of calculating the performance index of the entire air conditioning system for each combination of load distribution is performed,
A load distribution that optimizes the system COP is determined within a range of load distribution in which the power consumption of the entire air conditioning system does not exceed an upper limit value.
Air conditioning system control program. A computer for an air conditioning system with multiple types of heat source units,
Acquire characteristic data of each heat source unit stored in a storage unit, virtual indoor design conditions of the room to be air-conditioned by the air conditioning system, virtual air conditioner designs of air conditioners provided in the air conditioning system, outdoor air conditions, and the amount of heat to be produced by each heat source unit;
Inferring various parameters related to the operating conditions of each of the heat source machines;
A control program for outputting control target values of the various parameters when each of the heat source machines is optimal for each of a plurality of types of performance indexes,
Calculation of the performance index of each heat source machine when each heat source machine is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes, and a process of calculating the performance index of the entire air conditioning system for each combination of load distribution is performed,
A load distribution that optimizes the system COP is determined within a range of load distribution that does not fall below a minimum gas consumption required for the air conditioning system.
Air conditioning system control program. 1. An air conditioning system comprising:
Multiple types of heat source machines,
A storage unit in which characteristic data of each heat source unit, virtual indoor design conditions of a room to be air-conditioned by the air-conditioning system, and virtual air-conditioner designs of air-conditioners provided in the air-conditioning system are stored;
A processing unit that determines an amount of heat to be produced by each of the heat source units based on the data in the storage unit;
an input/output interface;
When processing a thermal load required for the entire air conditioning system, the processing unit
Using the inference of various parameters related to the operating conditions of each heat source device,
Outputting control target values of the various parameters when optimal for each of the multiple types of performance indexes of each of the heat source machines;
The processing unit includes:
Calculation of the performance index of each heat source machine when each heat source machine is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes, and a process of calculating the performance index of the entire air conditioning system for each combination of load distribution is performed,
A load distribution that optimizes the system COP is determined within a range of load distribution in which the power consumption of the entire air conditioning system does not exceed an upper limit value.
Air conditioning system. 1. An air conditioning system comprising:
Multiple types of heat source machines,
A storage unit in which characteristic data of each heat source unit, virtual indoor design conditions of a room to be air-conditioned by the air-conditioning system, and virtual air-conditioner designs of air-conditioners provided in the air-conditioning system are stored;
A processing unit that determines an amount of heat to be produced by each of the heat source units based on the data in the storage unit;
an input/output interface;
When processing a thermal load required for the entire air conditioning system, the processing unit
Using the inference of various parameters related to the operating conditions of each heat source device,
Outputting control target values of the various parameters when optimal for each of the multiple types of performance indexes of each of the heat source machines;
The processing unit includes:
Calculation of the performance index of each heat source machine when each heat source machine is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes, and a process of calculating the performance index of the entire air conditioning system for each combination of load distribution is performed,
Determine a load distribution that optimizes the system COP within a range of load distribution that does not fall below a minimum gas consumption required for the air conditioning system;
Air conditioning system.

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