JP7019044B2 - Energy saving management device, energy saving management system, energy saving management method and program - Google Patents

Description

The present invention relates to an energy saving management device, an energy saving management system, an energy saving management method and a program.

The ESCO (Energy Service COmpany) business is known, in which the cost required for customers to introduce energy-saving measures is covered by the reduction of utility costs. Customers and ESCO companies will benefit from a portion of the reduction in utility costs.

Some ESCO business contract methods guarantee a certain amount of customer profits. Under this contract, if the energy-saving effect of energy-saving measures is insufficient, the utility costs cannot be reduced sufficiently, and the ESCO company will suffer damage. Therefore, a technology for estimating the energy saving effect is required before actually introducing the energy saving measures.

Patent Document 1 discloses an energy saving evaluation support device that evaluates the energy saving effect when the energy saving measures introduced in other buildings in the past are introduced based on the information of the building to which the energy saving measures are introduced. There is. With the energy saving evaluation support device of Patent Document 1, the energy saving effect can be estimated before introducing the energy saving measures.

Japanese Unexamined Patent Publication No. 2012-027536

However, the energy saving evaluation support device of Patent Document 1 has a problem that the energy saving effect cannot be estimated accurately. In the estimation by the energy saving evaluation support device of Patent Document 1, since no consideration is given to the air conditioning condition in the building to be introduced, sufficient accuracy cannot be obtained. In particular, when energy saving measures are introduced in a low temperature warehouse, the air conditioning condition can have a great influence on the energy saving effect, which is a problem.

An object of the present invention is to provide an energy saving management device or the like for accurately estimating an energy saving effect in view of the above circumstances.

In order to achieve the above object, the energy saving management device according to the present invention is
A layout storage means for storing layout information, which is information on the layout of a low-temperature warehouse,
An air conditioner information acquisition means for acquiring air conditioner information, which is information on an air conditioner for air conditioning in the low temperature warehouse, and
A warehousing / delivery information acquisition means for acquiring warehousing / delivery information, which is information on warehousing / delivery of luggage entering / exiting the low-temperature warehouse, and
An electric energy acquisition means for acquiring the first electric energy consumption, which is the electric energy consumption of the air conditioner,
A temperature acquisition means for acquiring temperature information, which is information on the air temperature, from a temperature sensor that measures the air temperature of the low temperature warehouse, and
A temperature distribution estimation means for estimating the temperature distribution of the low temperature warehouse by performing airflow analysis and operation simulation of the air conditioner based on the layout information, the air conditioner information, and the warehousing / delivery information.
An improvement point determining means for determining an improvement point of the air conditioner for energy saving based on the air conditioner information and the temperature distribution, and an improvement point determining means.
The improvement points are applied by performing air flow analysis and operation simulation of the air conditioner after applying the improvement points based on the layout information, the air conditioner information, the warehousing / delivery information, and the improvement points. A power amount estimation means for estimating a second power consumption amount, which is the power consumption amount of the air conditioner after the operation,
An energy saving effect calculating means for calculating an energy saving effect based on the first power consumption amount and the second power consumption amount, and
Equipped with
After estimating the temperature distribution, the temperature distribution estimation means obtains the measured temperature distribution, which is the temperature distribution at the time of acquiring the temperature information obtained based on the installation position of the temperature sensor and the temperature information, and the estimation of the temperature distribution. When the difference from the estimated temperature distribution, which is the temperature distribution at the time of acquiring the temperature information, is not within the allowable range, the parameters used for the airflow analysis are changed based on the measured temperature distribution and the estimated temperature distribution . Estimate the temperature distribution again.

According to the present invention, since the energy saving effect is calculated based on the result of performing the airflow analysis and the operation simulation of the air conditioner, the energy saving effect can be estimated accurately.

The figure which shows the energy saving management system which concerns on embodiment of this invention. The figure which shows the functional configuration of the energy saving management apparatus which concerns on embodiment of this invention. The figure which shows an example of the information of a unit cooler included in the air conditioner information stored in the storage part of the energy saving management apparatus which concerns on embodiment of this invention. The figure which shows an example of the information of a condensing unit included in the air conditioner information which is stored in the storage part of the energy saving management apparatus which concerns on embodiment of this invention. The figure which shows an example of the warehousing / delivery information stored in the storage part of the energy saving management apparatus which concerns on embodiment of this invention. The figure which shows an example of the temperature information stored in the storage part of the energy saving management apparatus which concerns on embodiment of this invention. The figure which shows an example of the meteorological information which the storage part of the energy saving management apparatus which concerns on embodiment of this invention stores. The figure which shows an example of the charge table information stored in the storage part of the energy saving management apparatus which concerns on embodiment of this invention. The figure which shows an example of the hardware composition of the energy saving management apparatus which concerns on embodiment of this invention. The figure which shows an example of the operation of the temperature distribution estimation by the energy saving management apparatus which concerns on embodiment of this invention. A contour diagram showing an example of the temperature distribution estimated by the energy saving management device according to the embodiment of the present invention. The figure which shows an example of the operation of the improvement point determination by the energy saving management apparatus which concerns on embodiment of this invention. The figure which shows an example of the operation of the energy saving effect calculation by the energy saving management device which concerns on embodiment of this invention. The figure which shows an example of the notification screen of the energy saving measure and the energy saving effect displayed on the terminal which communicates with the energy saving management device which concerns on embodiment of this invention.

Hereinafter, the energy saving management system and the like according to the embodiment of the present invention will be described with reference to the drawings. In each drawing, the same or equivalent parts are designated by the same reference numerals.

(Embodiment)
The energy saving management system 1 according to the embodiment will be described with reference to FIG. The energy-saving management system 1 determines the energy-saving measures for the air conditioner 20 that air-conditions the low-temperature warehouse 2 by the energy-saving management device 10, and estimates the energy-saving effect of the energy-saving measures. The energy-saving management system 1 allows, for example, an ESCO business operator to present an energy-saving measure and the energy-saving effect of the energy-saving measure to the owner of the low-temperature warehouse 2 which is a customer. The energy saving management system 1 is an example of the energy saving management system according to the present invention. Further, the method of estimating the energy saving effect by the energy saving management system 1 is an example of the energy saving management method according to the present invention.

In this embodiment, the utility cost that can be reduced by introducing energy saving measures is estimated as the energy saving effect. However, an index other than the utility cost may be estimated as an energy saving effect. For example, the amount of power consumption that can be reduced by introducing energy saving measures may be estimated as an energy saving effect.

The energy-saving management system 1 includes an energy-saving management device 10, an air conditioner 20, an electric energy meter 23, a plurality of temperature sensors 24, a gateway 25, a terminal 3, and a weather server 4. The air conditioner 20, the electricity meter 23, the temperature sensor 24, and the gateway 25 are provided in the low temperature warehouse 2. The energy saving management device 10 communicates with the gateway 25, the terminal 3, and the weather server 4 via the Internet NT. The air conditioner 20, the electricity meter 23, and the temperature sensor 24 are communicably connected to the gateway 25. Although only one air conditioner 20 is shown in FIG. 1, there may be a plurality of air conditioners 20.

The energy-saving management device 10 is a device that determines energy-saving measures for the air conditioner 20 and estimates the energy-saving effect of the energy-saving measures. The energy saving management device 10 is, for example, a cloud server operated by an ESCO company. Energy saving measures are determined by determining improvement points of the air conditioner 20 for energy saving. The improvement points of the air conditioner 20 are, for example, a change in the wind direction, a change to the latest model, and the like. The energy saving management device 10 is an example of the energy saving management device according to the present invention. The functional configuration of the energy saving management device 10 will be described later.

The low temperature warehouse 2 is a warehouse for storing luggage at a low temperature. The low temperature warehouse 2 is, for example, a freezing warehouse for storing food at a low temperature of about −20 ° C. The low temperature warehouse 2 is an example of the low temperature warehouse according to the present invention.

The air conditioner 20 is an air conditioner that air-conditions the low temperature warehouse 2. The air conditioner 20 is, for example, a freezing air conditioner installed by an ESCO company. The air conditioner 20 includes a unit cooler 21 which is an indoor unit and a condensin unit 22 which is an outdoor unit. The unit cooler 21 is installed in the low temperature warehouse 2. The condensin unit 22 is installed outside the low temperature warehouse 2. Depending on the model, some unit coolers 21 can change the wind direction by a control signal, and some unit coolers 21 cannot change the wind direction without manual intervention. The air conditioner 20 periodically transmits operation information such as an operation time, an operating rate, a refrigerant temperature, and a refrigerating capacity, which are information that can be dynamically changed during the operation of the air conditioner, to the gateway 25. The refrigerating capacity is operating information because it fluctuates according to the operating conditions such as air volume, suction temperature, and blowout temperature. The air conditioner 20 is an example of the air conditioner according to the present invention.

The electricity meter 23 measures the power consumption of the low temperature warehouse 2. The electricity meter 23 is, for example, a smart meter installed by an ESCO company. Since it is considered that most of the power consumption of the low temperature warehouse 2 is due to the operation of the air conditioner 20, the power consumption measured by the electricity meter 23 is substantially equal to the power consumption of the air conditioner 20. The electricity meter 23 periodically transmits the measured power consumption to the gateway 25.

Each of the plurality of temperature sensors 24 measures the air temperature around itself. The temperature sensor 24 is installed in the low temperature warehouse 2. Each temperature sensor 24 is, for example, a smart thermometer installed by an ESCO company. The air temperature at a plurality of points can be measured by the plurality of temperature sensors 24. Therefore, it is possible to measure the rough temperature distribution in the low temperature warehouse 2 by the plurality of temperature sensors 24. Each temperature sensor 24 periodically transmits the measured air temperature to the gateway 25. The more the temperature sensor 24 is, the more accurately the temperature distribution can be measured, but the higher the installation cost of the temperature sensor 24 is. Therefore, it is preferable that the temperature sensor 24 is mainly installed in a place where a temperature change is likely to occur, such as an entrance / exit and a place where a large amount of luggage is placed. The temperature sensor 24 is an example of the temperature sensor according to the present invention.

The gateway 25 is a device that comprehensively manages the air conditioner 20, the watt-hour meter 23, and each temperature sensor 24. The gateway 25 is installed in the vicinity of the low temperature warehouse 2 by, for example, an ESCO company. The gateway 25 receives operation information, power consumption, and air temperature from the air conditioner 20, the electricity meter 23, and each temperature sensor 24.

Various information necessary for calculating the energy saving effect, which will be described later, is registered in advance in the gateway 25. The above-mentioned various information includes information on the position, wind direction, air volume, performance and model of the unit cooler 21, information on the performance and model of the condensin unit 22, and information on the installation position of each temperature sensor 24. This information is registered in the gateway 25 by the ESCO operator, for example, after the installation of the air conditioner 20, the temperature sensor 24, and the gateway 25.

The gateway 25 transmits the operation information received from the air conditioner 20 and the information about the air conditioner 20 among the registered information to the energy saving management device 10 as the air conditioner information. The gateway 25 transmits the electric energy information associated with the electric energy amount received from the electric energy meter 23 and the measurement date and time to the energy saving management device 10. The gateway 25 transmits temperature information associated with the air temperature received from each temperature sensor 24, the measurement date and time, and the installation position of each temperature sensor 24 to the energy saving management device 10.

The terminal 3 is a device that sends and receives various information to and from the energy saving management device 10. The user of the terminal 3 is, for example, the owner of the low temperature warehouse 2. The terminal 3 is, for example, a personal computer, a smartphone, a tablet terminal, or the like. The terminal 3 is layout information which is layout information of the low temperature warehouse 2, entry / exit information which is information of entry / exit of luggage entering / exiting the low temperature warehouse 2, and information of an electricity rate table applied to the low temperature warehouse 2. The charge table information is transmitted to the energy saving management device 10. These information transmitted by the terminal 3 to the energy saving management device 10 are input, for example, by the owner of the low temperature warehouse 2 who is the user of the terminal 3.

The terminal 3 receives from the energy saving management device 10 information about the energy saving measures determined by the energy saving management device 10 and information about the estimation of the energy saving effect by the energy saving measures. The terminal 3 informs the user of the contents indicated by these received information. The user of the terminal 3 confirms the energy saving measure notified by the terminal 3 and the estimation of the energy saving effect by the energy saving measure, and decides whether or not to introduce the energy saving measure.

The weather server 4 is a server for distributing weather information. The meteorological server 4 is, for example, a server operated by the Japan Meteorological Agency. The weather server 4 transmits the weather information of the area where the low temperature warehouse 2 is installed to the energy saving management device 10. Meteorological information includes outside air temperature and amount of solar radiation.

The functional configuration of the energy saving management device 10 will be described with reference to FIG. The energy saving management device 10 includes a communication unit 100, a storage unit 110, and a control unit 120.

The communication unit 100 communicates with the gateway 25, the terminal 3, and the weather server 4 via the Internet NT. Each functional unit of the control unit 120 and the control unit 120 described later transmits / receives information to / from the gateway 25, the terminal 3 and the weather server 4 via the communication unit 100.

The storage unit 110 provides layout information, air conditioner information, warehousing / delivery information, electric energy information which is information on power consumption, temperature information, weather information, charge table information, and improvement points to the air conditioner 20. The improved air conditioner information, which is the information of the air conditioner 20 when it is assumed that the information is applied to the above, is stored. Hereinafter, each information stored in the storage unit 110 will be described.

The layout information is the layout information of the low temperature warehouse 2. The layout information is, for example, information representing an architectural drawing of the low temperature warehouse 2. The indoor space represented by the layout information is the space that is the target of the airflow analysis described later. Since the storage unit 110 stores layout information, it is an example of the layout storage means according to the present invention.

The air conditioner information is information on the air conditioner 20, and includes information on the unit cooler 21 and information on the condensing unit 22.

The information of the unit cooler 21 included in the air conditioner information will be described with reference to FIG. As shown in FIG. 3, the information of the unit cooler 21 includes an identifier for individually identifying the installed unit cooler 21, the model of the unit cooler 21, the position of the unit cooler 21, the wind direction of the unit cooler 21, and the unit cooler 21. It contains information indicating the air volume, the performance of the unit cooler 21, and the identifier of the condensing unit 22 connected to the unit cooler 21. As the identifier, for example, a serial number can be adopted. Alternatively, a character string automatically generated by the energy saving management device 10 may be adopted. The performance of the unit cooler 21 is, for example, the performance shown in the product catalog of the unit cooler 21.

The information on the unit cooler 21 also includes information on models not installed in the low temperature warehouse 2. For example, FIG. 3 shows information on the unit cooler 21 of the model U3 for which an identifier is not set. Since the model of the unit cooler 21 may be changed in the determination of the improvement point described later, the storage unit 110 also stores the information of the model that is not installed. This information is prepared in advance by, for example, an ESCO company.

The information of the condensing unit 22 included in the air conditioner information will be described with reference to FIG. As shown in FIG. 4, the information of the condensin unit 22 includes an identifier for individually identifying the installed condensin unit 22, the model of the condensin unit 22, the operating rate of the condensin unit 22, and the condensin unit 22. It contains information indicating the refrigerating capacity, the set temperature of the condensing unit 22, and the performance of the condensing unit 22. The identifier and performance are the same as in the case of the unit cooler 21. However, the information indicating the performance of the condensing unit 22 includes COP (Coefficient Of Performance) indicating the energy consumption efficiency of the condensing unit 22. The COP is used in the power consumption estimation described later. Further, for the same reason as in the case of the unit cooler 21, the information of the condensin unit 22 includes the information of the model in which it is not installed.

The warehousing / delivery information will be described with reference to FIG. The warehousing / delivery information is information on warehousing / delivery of luggage entering / exiting the low temperature warehouse 2. As shown in FIG. 5, the warehousing / delivery information includes information on the date and time of warehousing / delivery, information indicating whether the cargo is warehousing or warehousing, information on the position of the cargo, information on the weight of the cargo, and information indicating the temperature state of the cargo. ,including. The position of the luggage is the position where the stored luggage is placed when the luggage is received, and the position where the luggage was placed before the delivery when the luggage is discharged. The temperature state of the cargo is a state indicating whether the cargo is at room temperature or frozen. The storage unit 110 stores the warehousing / delivery information in chronological order.

The electric energy information is information in which the electric energy amount of the low temperature warehouse 2 is associated with the measurement date and time of the electric energy amount. As described above, the power consumption is substantially equal to the power consumption of the air conditioner 20. The storage unit 110 stores the electric energy information in time series.

The temperature information will be described with reference to FIG. The temperature information is information on the air temperature measured by each temperature sensor 24. As shown in FIG. 6, the temperature information includes information indicating the measurement date and time of the air temperature, the position of the temperature sensor 24, and the measured air temperature. The storage unit 110 stores the temperature information in time series.

Meteorological information will be described with reference to FIG. 7. The meteorological information stored in the storage unit 110 is the meteorological information of the area where the low temperature warehouse 2 is installed, which is distributed by the meteorological server. The meteorological information includes information indicating the date and time, the outside air temperature at the date and time, and the amount of solar radiation at the date and time. The storage unit 110 stores weather information in chronological order.

The charge table information will be described with reference to FIG. The charge table information is the information of the electricity charge table applied to the low temperature warehouse 2. In the example shown in FIG. 8, it is shown that the electricity rate is set according to the month and the time zone. Not limited to the example shown in FIG. 8, the charge table information may include information such as a basic charge and discount conditions. Since the storage unit 110 stores the charge table information, it is an example of the charge table storage means according to the present invention.

The improved air conditioner information is information on the air conditioner 20 when it is assumed that the improvement points for energy saving are applied. The information indicated by the improved air conditioner information is the same as the air conditioner information. However, since the improved air conditioner information is the air conditioner information when the improvement points are applied, the content is different from the air conditioner information. For example, when the change of the wind direction of the unit cooler 21 is included in the improvement point, the information indicating the wind direction of the unit cooler 21 is different between the air conditioner information and the improved air conditioner information.

See FIG. 2 again. The control unit 120 controls the energy saving management device 10 in an integrated manner. The control unit 120 includes an air conditioner information acquisition unit 121, an entry / exit information acquisition unit 12, a temperature acquisition unit 123, a weather information acquisition unit 124, a temperature distribution estimation unit 125, an improvement point determination unit 126, and an electric power amount. It includes an acquisition unit 127, an electric energy estimation unit 128, and an energy saving effect calculation unit 129.

The air conditioner information acquisition unit 121 acquires air conditioner information from the gateway 25 and stores it in the storage unit 110. The air conditioner information acquisition unit 121 is an example of the air conditioner information acquisition means according to the present invention.

The warehousing / delivery information acquisition unit 12 acquires warehousing / delivery information from the terminal 3 and stores it in the storage unit 110. The warehousing / delivery information acquisition unit 12 is an example of the warehousing / delivery information acquisition means according to the present invention.

The temperature acquisition unit 123 acquires temperature information from the gateway 25 and stores it in the storage unit 110. The temperature acquisition unit 123 is an example of the temperature acquisition means according to the present invention.

The weather information acquisition unit 124 acquires weather information from the weather server 4 and stores it in the storage unit 110. The weather information acquisition unit 124 is an example of the weather information acquisition means according to the present invention.

The temperature distribution estimation unit 125 estimates the temperature distribution of the low temperature warehouse 2 by performing air flow analysis and operation simulation of the air conditioner 20. The temperature distribution estimation unit 125 acquires layout information, air conditioner information, temperature information, and weather information from the storage unit 110. The temperature distribution estimation unit 125 determines a time zone for performing airflow analysis and operation simulation. The temperature distribution estimation unit 125 simulates the air flow and heat transfer of the low temperature warehouse 2 in the target time zone by performing air flow analysis. As a method of airflow analysis, for example, a method by thermo-fluid analysis can be adopted. By performing an operation simulation of the air conditioner 20 in parallel with the airflow analysis, the air blown out from the unit cooler 21 can also be the target of the airflow analysis. The temperature distribution estimation unit 125 performs airflow analysis and operation simulation based on layout information, air conditioner information, temperature information, and meteorological information. The temperature distribution estimation unit 125 can obtain the temperature distribution of the low temperature warehouse 2 as a result of the airflow analysis. The obtained temperature distribution becomes the estimated temperature distribution. The temperature distribution estimation unit 125 is an example of the temperature distribution estimation means according to the present invention.

The improvement point determination unit 126 determines the improvement points of the air conditioner 20 for energy saving. The improvement point determination unit 126 determines the improvement points of the air conditioner 20 based on the air conditioner information and the temperature distribution estimated by the temperature distribution estimation unit 125. The improvement point determination unit 126 creates the improved air conditioner information which is the air conditioner information when it is assumed that the determined improvement points are applied to the air conditioner 20, and stores the improved air conditioner information in the storage unit 110. The improvement point determination unit 126 is an example of the improvement point determination means according to the present invention.

The electric energy acquisition unit 127 acquires electric energy information from the gateway 25 and stores it in the storage unit 110. The electric energy acquisition unit 127 is an example of the electric energy acquisition means according to the present invention. The power consumption indicated by the electric energy information acquired by the electric energy acquisition unit 127 is an example of the first electric energy consumption according to the present invention.

The electric energy estimation unit 128 performs air flow analysis and operation simulation of the air conditioner 20 after applying the improvement points to the power consumption of the air conditioner 20 after applying the improvement points determined by the improvement point determination unit 126. Estimate by. The electric energy estimation unit 128 acquires layout information, improved air conditioner information, temperature information, and weather information from the storage unit 110. Similar to the temperature distribution estimation unit 125, the electric energy estimation unit 128 performs airflow analysis and operation simulation in parallel. The electric energy estimation unit 128 performs airflow analysis and operation simulation based on layout information, improved air conditioner information, temperature information, and meteorological information. The electric energy estimation unit 128 estimates the electric energy consumption of the improved air conditioner 20 that changes over time during the operation simulation. The electric energy estimation unit 128 is an example of the electric energy estimation means according to the present invention. The power consumption estimated by the electric energy estimation unit 128 is an example of the second power consumption according to the present invention.

The energy saving effect calculation unit 129 estimates the energy saving effect by applying the improvement points to the air conditioner 20. The energy saving effect calculation unit 129 acquires electric energy information and charge table information from the storage unit 110. The electric energy information indicates the electric energy consumption before improvement, which changes over time. The energy saving effect calculation unit 129 is based on the power consumption before the improvement, the power consumption after the improvement estimated by the power estimation unit 128, and the price table information, and the electricity charge reduced by applying the improvement points. Is calculated as an energy saving effect. The energy saving effect calculation unit 129 is an example of the energy saving effect calculation means according to the present invention.

The control unit 120 acquires layout information from the terminal 3 and stores it in the storage unit 110. The control unit 120 determines an energy saving measure based on the air conditioner information stored in the storage unit 110 and the improved air conditioner information, and transmits the determined energy saving measure information to the terminal 3. The control unit 120 transmits information on the energy saving effect calculated by the energy saving effect calculation unit 129 to the terminal 3.

Next, an example of the hardware configuration of the energy saving management device 10 will be described with reference to FIG. The energy saving management device 10 shown in FIG. 9 is realized by a computer such as a personal computer or a blade server.

The energy-saving management device 10 includes a processor 1001, a memory 1002, an interface 1003, and a secondary storage device 1004, which are connected to each other via a bus 1000.

The processor 1001 is, for example, a CPU (Central Processing Unit). Each function of the energy-saving management device 10 is realized by the processor 1001 reading the management program stored in the secondary storage device 1004 into the memory 1002 and executing the management program. The function of the temperature distribution estimation unit 125 may be realized by calling and executing the airflow analysis program described later from the management program.

The memory 1002 is, for example, a main storage device configured by RAM (Random Access Memory). The memory 1002 stores a program read from the secondary storage device 1004 by the processor 1001. Further, the memory 1002 functions as a work memory when the processor 1001 executes a program.

The interface 1003 is an I / O (Input / Output) interface such as a serial port, a USB (Universal Serial Bus), and a network interface.

The secondary storage device 1004 is, for example, a flash memory, an HDD (Hard Disk Drive), or an SSD (Solid State Drive). The secondary storage device 1004 stores a management program executed by the processor 1001. When the airflow analysis program is called from the management program, the airflow analysis program is also stored. As the airflow analysis program, a commercially available airflow analysis program can also be adopted. Further, the function of the storage unit 110 is realized by the secondary storage device 1004.

Next, an example of the operation of temperature distribution estimation by the energy saving management device 10 will be described with reference to FIG. The operation shown in FIG. 10 may be executed periodically such as every month or every season, or may be executed at an arbitrary timing by the ESCO operator who is the operator of the energy saving management device 10. Further, when the operation shown in FIG. 10 is executed, the storage unit 110 already stores the layout information, the air conditioner information, the warehousing / delivery information, the weather information, and the temperature information necessary for executing the operation shown in FIG. It is assumed that it has been done.

The temperature distribution estimation unit 125 of the control unit 120 of the energy saving management device 10 determines the time zone for which the airflow analysis is to be performed (step S101). Hereinafter, this time zone is referred to as an "analysis time zone". For example, the temperature distribution estimation unit 125 determines the analysis time zone from 24 hours before the present to the present. Alternatively, the temperature distribution estimation unit 125 may determine the daytime time zone on weekdays, which is presumed to have a high frequency of loading and unloading of luggage, as the analysis time zone.

The temperature distribution estimation unit 125 acquires layout information, air conditioner information, warehousing / delivery information, and weather information from the storage unit 110 (step S102). The temperature distribution estimation unit 125 may acquire only the warehousing / delivery information whose warehousing / delivery date and time is included in the analysis time zone among the warehousing / delivery information. Similarly, the temperature distribution estimation unit 125 may acquire only the meteorological information whose date and time are included in the analysis time zone among the meteorological information.

The temperature distribution estimation unit 125 acquires temperature information at the beginning of the analysis time zone from the storage unit 110 (step S103). For example, when the start of the analysis time zone is 0:00 on July 30, 2018, the temperature distribution estimation unit 125 acquires the temperature information whose measurement date and time is closest to 0:00 on July 30, 2018. .. By this operation, the rough temperature distribution of the low temperature warehouse 2 at the beginning of the analysis time zone can be obtained. Hereinafter, the beginning of the analysis time zone is simply referred to as "the beginning". Also, the end of the analysis time zone is simply called the "end".

The temperature distribution estimation unit 125 determines the parameters used in the airflow analysis (step S104). The parameters to be determined are the heat insulation coefficient of the wall surface of the low temperature warehouse 2, the heat capacity of the luggage entering and exiting the low temperature warehouse 2, the heat capacity of the worker entering and exiting the low temperature warehouse 2, and the like. These parameters may be predetermined values based on empirical rules, or may be values input by the owner of the low temperature warehouse 2 or the ESCO business operator.

The temperature distribution estimation unit 125 analyzes the air flow and operates the air conditioner 20 based on the acquired layout information, air conditioner information, warehousing / delivery information, meteorological information, temperature information at the beginning, and the parameters determined in step S104. The temperature distribution of the low temperature warehouse 2 is estimated by the above (step S105). More specifically, the temperature distribution estimation unit 125 estimates the temperature distribution of the low temperature warehouse 2 by simultaneously executing a simulation by airflow analysis and an operation simulation of the air conditioner 20 from the beginning to the end.

Hereinafter, an example of airflow analysis performed by the temperature distribution estimation unit 125 will be described. First, the temperature distribution estimation unit 125 determines the temperature distribution of the low temperature warehouse 2 at the beginning. That is, it determines the initial value used for the analysis. The air temperature in the place where the temperature sensor 24 is not installed is unknown, but for example, the temperature measured by the nearest temperature sensor 24 is adopted. Next, the temperature distribution estimation unit 125 executes each analysis described below in parallel.

The temperature distribution estimation unit 125 analyzes the heat flowing in from the outside of the low temperature warehouse 2 by heat conduction based on the layout information, the heat insulation coefficient, and the weather information. The heat that flows in due to heat conduction is the heat that flows in from the outside air through the wall surface, the heat that flows in from the wall surface heated by solar radiation, and the like. The weather information shows the outside temperature and the amount of solar radiation, and the layout information shows the position of the wall surface. Therefore, the temperature distribution estimation unit 125 can perform analysis based on this information.

The temperature distribution estimation unit 125 analyzes the air flow entering and exiting the entrance / exit of the low temperature warehouse 2 and the heat transfer due to the air flow based on the layout information, the weather information, and the warehousing / delivery information. From the date and time of entry and exit included in the entry and exit information, the date and time when the doorway of the low temperature warehouse 2 was opened can be estimated. From the layout information, the position and size of the doorway can be known. In addition, the movable range of the airflow can be known from the layout information. The outside temperature can be known from the weather information. Therefore, the temperature distribution estimation unit 125 can perform analysis based on this information.

The temperature distribution estimation unit 125 analyzes the heat transfer due to the loading and unloading of the cargo and the loading and unloading of the worker based on the layout information, the warehousing / delivery information, and the heat capacity. The temperature distribution estimation unit 125 can estimate the movement of the luggage and the worker from the layout information and the warehousing / delivery information. Then, the temperature distribution estimation unit 125 can analyze the heat transfer from the estimated motion and heat capacity.

The temperature distribution estimation unit 125 transfers heat by the air flow and the air flow blown out from the unit cooler 21 based on the layout information, the air conditioner information, and the weather information and the operation simulation of the air conditioner 20 performed in parallel. To analyze. From the air conditioner information, the wind direction and the air volume of the air blown from the unit cooler 21 can be known. Further, from the operation simulation, the blowing temperature of the air blown out from the unit cooler 21 can be known. Therefore, the temperature distribution estimation unit 125 can perform analysis based on this information.

The operation simulation of the air conditioner 20 is performed based on the ambient temperature of the unit cooler 21 obtained by the air conditioner information, the weather information, and the air flow analysis. The air conditioner information includes information indicating the operating rate, cooling capacity, set temperature and performance of the condensin unit 22. Therefore, it is possible to obtain the blowout temperature of the air blown out from the unit cooler 21 based on these information, the outside air temperature indicated by the meteorological information, and the ambient temperature of the unit cooler 21 obtained by the airflow analysis by the operation simulation.

The temperature distribution estimation unit 125 can obtain the temperature distribution of the low temperature warehouse 2 at the end stage by executing the simulation by each of the above analyzes from the beginning to the end. For example, as a result of the simulation, the temperature distribution shown in FIG. 11 can be obtained. FIG. 11 is a contour diagram showing the temperature contour lines of the low temperature warehouse 2. FIG. 11 is a plan view, which shows a temperature distribution at a certain height, and in reality, a temperature distribution in a three-dimensional space can be obtained.

The temperature distribution estimation unit 125 acquires the final temperature information (step S106). In the temperature distribution estimation unit 125, is the error between the air temperature at each location corresponding to the position where the temperature sensor 24 is installed and the air temperature at each location indicated by the final temperature information within the allowable range in the estimated temperature distribution? It is determined whether or not (step S107). That is, the temperature distribution estimation unit 125 determines whether or not the error between the estimated temperature distribution and the actually measured value is within the allowable range. The permissible range means that, for example, the error is 2 ° C. or less at all the locations to be determined. Alternatively, it may be assumed that the error is 2 ° C. or less at 90% of all the locations. This operation corresponds to determining whether or not the estimation result is valid.

When it is determined that the error is within the allowable range (step S107: Yes), the temperature distribution estimation unit 125 ends the operation of temperature distribution estimation. The estimated temperature distribution is used to determine the improvement points described later.

When it is determined that the error is not within the allowable range (step S107: No), the temperature distribution estimation unit 125 repeats the flow of operation from the parameter determination in step S104. When the parameter is determined again, the temperature distribution estimation unit 125 determines the parameter based on the error. For example, if there is an overall error, the temperature distribution estimation unit 125 adjusts the parameter of the insulation coefficient. When a local error occurs, the temperature distribution estimation unit 125 adjusts the heat capacity parameter in consideration of the installation condition of the luggage around the location where the error occurs. In either case, the temperature distribution estimation unit 125 adjusts the parameters to reduce the error. By estimating the temperature distribution again after adjusting the parameters, it can be expected that a temperature distribution with less error can be obtained.

Depending on the method of air flow analysis or the method of adjusting parameters, the temperature distribution estimation unit 125 may infinitely repeat the flow of operations from step S104 to step S107. In order to avoid this repetition, the temperature distribution estimation unit 125 may sequentially expand the allowable range in step S107, or may end the operation after the determination in step S107 is performed a certain number of times or more.

Next, an example of the operation of determining the improvement point by the energy saving management device 10 will be described with reference to FIG. 12. By this operation, the improvement points to be applied to the air conditioner 20 for energy saving are determined. The operation shown in FIG. 12 is executed, for example, after the above-mentioned estimation of the temperature distribution is completed.

The improvement point determination unit 126 of the control unit 120 of the energy saving management device 10 determines whether or not the air temperature of the entire low temperature warehouse 2 is T1 ° C. or more lower than the set temperature of the condensin unit 22 based on the estimated temperature distribution. (Step S201). This operation corresponds to determining whether or not the entire low temperature warehouse 2 is excessively cooled. T1 ° C is, for example, 2 ° C. Since the cold air has a property of easily accumulating underneath, the determination target may be not the air temperature of the entire low temperature warehouse 2 but the air temperature of the space region having a certain height or less. For example, only the air temperature in the space region below the maximum height at which luggage can be loaded may be determined.

When it is determined that the air temperature of the entire low temperature warehouse 2 is T1 ° C. or higher lower than the set temperature (step S201: Yes), the improvement point determination unit 126 determines to raise the set temperature of the condensin unit 22 as an improvement point (step S201: Yes). Step S202). The improvement point determination unit 126 determines, for example, raising the set temperature by 1 ° C. as an improvement point. By raising the set temperature of the condensin unit 22, excessive cooling can be prevented, so that an energy saving effect can be expected.

After the determination, the improvement point determination unit 126 executes the operations after step S203. When it is determined as No in step S201, the improvement point determination unit 126 executes the operation after step S203 as it is.

Based on the estimated temperature distribution, the improvement point determination unit 126 determines whether or not the difference between the maximum temperature and the minimum temperature of the air temperature of the entire low temperature warehouse 2 is T2 ° C. or more (step S203). This operation corresponds to determining whether or not the temperature unevenness of a certain level or more exists in the low temperature warehouse 2. T2 ° C is, for example, 3 ° C. As in the case of step S201, the determination target may be not the air temperature of the entire low temperature warehouse 2 but only the air temperature of the space region having a certain height or less.

When it is determined that the difference between the maximum temperature and the minimum temperature is T2 ° C. or higher (step S203: Yes), the improvement point determination unit 126 changes the wind direction and position of the unit cooler 21 in order to reduce the temperature unevenness. It is determined as an improvement point (step S204). Since the cooling efficiency is improved by reducing the temperature unevenness, an energy saving effect can be expected. The wind direction and position of the unit cooler 21 are determined based on the estimated temperature distribution. For example, the improvement point determination unit 126 determines the wind direction and position of the unit cooler 21 in order to intensively cool the portion where the air temperature is high. If possible, the improvement point determination unit 126 determines only the change of the wind direction of the unit cooler 21 as an improvement point, but if it is difficult to reduce the temperature unevenness without changing the position of the unit cooler 21, the unit Changing the position of the cooler 21 is also determined as an improvement point.

After the determination, the improvement point determination unit 126 executes the operations after step S205. When it is determined that the difference between the maximum temperature and the minimum temperature is less than T2 ° C. (step S203: No), the improvement point determination unit 126 executes the operations after step S205 as it is.

The improvement point determination unit 126 determines whether or not there is a condensing unit 22 whose operating rate is equal to or lower than the threshold value based on the air conditioner information (step S205). The threshold is, for example, 40%.

When it is determined that there is a condensin unit 22 whose operating rate is equal to or lower than the threshold value (step S205: Yes), the improvement point determination unit 126 determines items necessary for improving the operating rate as improvement points (step S206). .. When there are a plurality of condensin units 22 having a low operating rate, the operation of a part or all of the condensing unit 22 having a low operating rate is stopped, and the operating rate of the condensing unit 22 which has not stopped the operation is increased. Therefore, the energy efficiency of the entire air conditioner 20 provided in the low temperature warehouse 2 can be improved. Therefore, the improvement point determination unit 126 determines the stoppage of the condensing unit 22 having a low operating rate as an improvement point.

At this time, by stopping the operation of a part of the condensing unit 22, the air blown from the unit cooler 21 connected to the condensining unit 22 is stopped. Therefore, in order to air-condition the space originally air-conditioned by the unit cooler 21, changing the wind direction of another unit cooler 21 is also determined as an improvement point.

After the determination, the improvement point determination unit 126 executes the operations after step S207. When it is determined that there is no condensing unit 22 whose operating rate is equal to or less than the threshold value (step S205: No), the improvement point determination unit 126 executes the operations after step S207 as it is.

The improvement point determination unit 126 determines whether or not the currently installed condensin unit 22 can be replaced with the latest model based on the air conditioner information (step S207). For example, the improvement point determination unit 126 has the same horsepower as the currently installed condensin unit 22, and determines whether or not there is the latest model with improved energy efficiency, thereby updating the condensin unit 22 to the latest. Determine if it can be replaced with a model.

When it is determined that the condensin unit 22 can be replaced with the latest model (step S207: Yes), the improvement point determination unit 126 determines the model change of the condensin unit 22 as an improvement point (step S208). After the determination, the improvement point determination unit 126 executes the operations after step S209. When it is determined that the condensin unit 22 cannot be replaced with the latest model (step S207: No), the improvement point determination unit 126 executes the operations after step S209 as it is.

The improvement point determination unit 126 creates the improved air conditioner information which is the information of the air conditioner 20 when it is assumed that the improvement points determined in the above operation are applied to the air conditioner 20, and stores the improved air conditioner information in the storage unit 110. (Step S209). Then, the improvement point determination unit 126 ends the operation of determining the improvement point.

Next, an example of the operation of calculating the energy saving effect by the energy saving management device 10 will be described with reference to FIG. The operation shown in FIG. 13 is executed, for example, after the above-mentioned improvement point determination is completed.

The electric energy estimation unit 128 of the control unit 120 of the energy saving management device 10 acquires layout information, improved air conditioner information, warehousing / delivery information, weather information, and initial temperature information from the storage unit 110 (step S301).

The electric energy estimation unit 128 estimates the electric energy consumption of the improved air conditioner 20 by performing airflow analysis and operation simulation of the improved air conditioner 20 in parallel (step S302). The airflow analysis and operation simulation performed by the electric energy estimation unit 128 are substantially the same as the airflow analysis and operation simulation performed by the temperature distribution estimation unit 125. However, the difference is that the power consumption of the improved air conditioner 20 is estimated during the operation simulation. Since the improved air conditioner information includes the cooling capacity and COP of the improved air conditioner 20, the electric energy estimation unit 128 changes the improved air conditioner in time series from the beginning to the end by the operation simulation. The power consumption of the machine 20 can be estimated.

The energy saving effect calculation unit 129 of the control unit 120 refers to the electric energy information stored in the storage unit 110, and acquires the electric energy consumption of the air conditioner 20 before improvement, which changes in time series from the beginning to the end of the analysis time zone. (Step S303). Since the power consumption of the air conditioner 20 before improvement is stored in the storage unit 110 in association with the measurement date and time, the energy saving effect calculation unit 129 changes the power consumption before improvement in time series from the beginning to the end. You can get the quantity.

The energy saving effect calculation unit 129 refers to the charge table information stored in the storage unit 110, and uses the improved power consumption estimated by the electric energy estimation unit 128, the power consumption before the improvement, and the charge table information. Based on this, the electricity charge reduced by applying the improvement point to the air conditioner 20 is calculated as the energy saving effect (step S304), and the operation of calculating the energy saving effect is terminated. Since both the estimated power consumption after improvement and the acquired power consumption before improvement include changes over time, the electricity price can be calculated based on the electricity price table.

After the operation of the above energy saving effect calculation is completed, the control unit 120 determines the energy saving measure based on the air conditioner information and the improved air conditioner information, and outputs the energy saving measure information and the calculated energy saving effect information to the terminal. Send to 3. The terminal 3 that has received the information notifies the user of the energy saving measure and the energy saving effect by displaying the screen for notifying the energy saving measure and the energy saving effect shown in FIG.

The energy saving management system 1 according to the embodiment has been described above. First, the energy-saving management device 10 estimates the temperature distribution by performing airflow analysis and operation simulation of the air conditioner 20, and determines the improvement points of the air conditioner 20 for energy saving based on the estimated temperature distribution. Next, the energy saving management device 10 estimates the power consumption of the air conditioner 20 after applying the improvement points by performing an air flow analysis and an operation simulation of the air conditioner 20 after applying the improvement points. Then, the energy saving management device 10 calculates the energy saving effect based on the power consumption of the air conditioner 20 before the improvement point is applied and the power consumption of the air conditioner 20 after the improvement point is applied. That is, the energy saving management device 10 calculates the energy saving effect based on the result of performing the air flow analysis and the operation simulation of the air conditioner 20. Therefore, according to the energy saving management system 1, the energy saving effect by applying the improvement points can be estimated accurately.

Further, according to the energy saving management system 1, the energy saving management device 10 estimates the temperature distribution of the low temperature warehouse 2 by air flow analysis. Therefore, the energy saving management device 10 can obtain the temperature distribution of the low temperature warehouse 2 without installing many temperature sensors 24. Therefore, the installation cost of the temperature sensor 24 can be reduced.

(Modification example)
In the above embodiment, the energy saving measures and the energy saving effect based on the determined improvement points are only presented to the customer, but the air conditioner 20 may be controlled based on the determined improvement points.

For example, when the unit cooler 21 installed in the low temperature warehouse 2 is a model whose wind direction can be controlled by an electric signal, and when the determined improvement point is only the one that changes the wind direction of the unit cooler 21, the unit cooler 21 Energy saving can be achieved by remotely controlling the wind direction.

For example, consider a case where a controller is connected to the air conditioner 20 and the gateway 25 can change the wind direction of the unit cooler 21 by controlling the controller. In this case, the control unit 120 of the energy saving management device 10 refers to the improved air conditioner information stored in the storage unit 110, and transmits a command for changing the wind direction of the unit cooler 21 to the gateway 25. Upon receiving the command, the gateway 25 controls the controller to change the wind direction of the unit cooler 21. In this case, since the control unit 120 controls the unit cooler 21 of the air conditioner 20, it is an example of the air conditioning control means according to the present invention.

Further, in the airflow analysis by the temperature distribution estimation unit 125 and the operation simulation of the air conditioner 20, not only the temperature distribution but also the humidity distribution can be estimated. Therefore, the improvement point determination unit 126 may determine the improvement point based on the humidity distribution estimated by the temperature distribution estimation unit 125. For example, the improvement point determination unit 126 may decide to change the wind direction to a place with high humidity. Frost, mold, etc. are likely to occur in places with high humidity, so it is possible to prevent these from occurring by exposing them to a large amount of wind. In this case, the temperature distribution estimation unit 125 can be said to acquire humidity information, and is therefore an example of the humidity acquisition means according to the present invention.

Further, instead of estimating the humidity distribution by air flow analysis and operation simulation of the air conditioner 20, a humidity sensor is installed in the low temperature warehouse 2, and the control unit 120 is the humidity information measured by the humidity sensor from the gateway 25. The improvement point determination unit 126 may determine the improvement point based on the humidity information. In this case, the control unit 120 is an example of the humidity acquisition means according to the present invention.

Further, the energy saving effect calculation unit 129 calculated the reduced electricity charge as the energy saving effect based on the power consumption amount and the charge table information that change in time series from the beginning to the end of the analysis time zone. However, when the reduced power consumption is adopted instead of the reduced electricity charge as the energy saving effect, the energy saving effect calculation unit 129 obtains the energy saving effect based on the difference between the power consumption at the beginning and the power consumption at the end. Can be calculated. That is, the energy saving effect calculation unit 129 can calculate the energy saving effect only by the power consumption at the beginning and the power consumption at the end.

Further, the temperature distribution estimation unit 125 refers to the temperature information acquired from the temperature sensor 24 and the meteorological information acquired from the meteorological server 4 at the time of airflow analysis and operation simulation of the air conditioner 20, but these information are not always essential. is not it. Even if there is no such information, for example, a predetermined temperature or amount of solar radiation based on an empirical rule can be adopted as temperature information or meteorological information.

Further, the temperature distribution estimation unit 125 determines an error between the estimated temperature distribution and the actually measured value, and adjusts the parameter when the error is large, but this determination and adjustment is not always essential. For example, if it is desired to increase the analysis speed at the expense of some accuracy, error determination and parameter adjustment may be omitted.

Further, the electric energy acquisition unit 127 acquired the electric energy information including the electric energy measured by the electric energy meter 23 from the gateway 25. However, the temperature distribution estimation unit 125 also estimates the power consumption of the air conditioner 20 when the operation simulation of the air conditioner 20 is performed, and the power consumption acquisition unit 127 determines the estimated power consumption and the date and time to be simulated. May acquire the electric energy information associated with. That is, the electric energy acquisition unit 127 may acquire the electric energy estimated at the time of the operation simulation as the first electric energy. The electric energy acquisition unit 127 acquires the electric energy estimated at the time of the operation simulation as the first electric energy, so that even if the low temperature warehouse 2 is not provided with the electric energy meter 23, the electric energy meter 23 is not provided. The electric energy acquisition unit 127 can acquire the first electric energy.

In the hardware configuration shown in FIG. 9, the energy saving management device 10 includes the secondary storage device 1004. However, the present invention is not limited to this, and the secondary storage device 1004 may be provided outside the energy saving management device 10 and the energy saving management device 10 and the secondary storage device 1004 may be connected via the interface 1003. In this form, removable media such as a USB flash drive and a memory card can also be used as the secondary storage device 1004.

Further, instead of the hardware configuration shown in FIG. 9, the energy saving management device 10 may be configured by a dedicated circuit using an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like. good. Further, in the hardware configuration shown in FIG. 9, a part of the functions of the energy saving management device 10 may be realized by, for example, a dedicated circuit connected to the interface 1003.

The program used in the energy-saving management device 10 is stored and distributed in a computer-readable recording medium such as a CD-ROM (Compact Disc Read Only Memory), DVD (Digital Versatile Disc), USB flash drive, memory card, or HDD. It is possible. Then, by installing such a program on a specific or general-purpose computer, the computer can be made to function as the energy saving management device 10.

Further, the above-mentioned program may be stored in a storage device of another server on the Internet so that the above-mentioned program can be downloaded from the server.

The present invention allows for various embodiments and modifications without departing from the broad spirit and scope of the invention. Further, the above-described embodiments are for explaining the present invention, and do not limit the scope of the present invention. That is, the scope of the present invention is shown not by the embodiment but by the claims. And various modifications made within the scope of the claims and within the equivalent meaning of the invention are considered to be within the scope of the present invention.

The present invention is suitable for estimating the energy saving effect.

1 Energy saving management system, 2 Low temperature warehouse, 3 terminals, 4 Meteorological servers, 10 Energy saving management devices, 20 air conditioners, 21 unit coolers, 22 condensing units, 23 electricity meters, 24 temperature sensors, 25 gateways, 100 communication units, 110 Storage unit, 120 Control unit, 121 Air conditioner information acquisition unit, 122 Entry / exit information acquisition unit, 123 Temperature acquisition unit, 124 Meteorological information acquisition unit, 125 Temperature distribution estimation unit, 126 Improvement point determination unit, 127 Electricity meter acquisition unit , 128 Electricity meter estimation unit, 129 Energy saving effect calculation unit, 1000 buses, 1001 processor, 1002 memory, 1003 interface, 1004 secondary storage device, NT Internet.

Claims (11)

A layout storage means for storing layout information, which is information on the layout of a low-temperature warehouse,
An air conditioner information acquisition means for acquiring air conditioner information, which is information on an air conditioner for air conditioning in the low temperature warehouse, and
A warehousing / delivery information acquisition means for acquiring warehousing / delivery information, which is information on warehousing / delivery of luggage entering / exiting the low-temperature warehouse, and
An electric energy acquisition means for acquiring the first electric energy consumption, which is the electric energy consumption of the air conditioner,
A temperature acquisition means for acquiring temperature information, which is information on the air temperature, from a temperature sensor that measures the air temperature of the low temperature warehouse, and
A temperature distribution estimation means for estimating the temperature distribution of the low temperature warehouse by performing airflow analysis and operation simulation of the air conditioner based on the layout information, the air conditioner information, and the warehousing / delivery information.
An improvement point determining means for determining an improvement point of the air conditioner for energy saving based on the air conditioner information and the temperature distribution, and an improvement point determining means.
The improvement points are applied by performing air flow analysis and operation simulation of the air conditioner after applying the improvement points based on the layout information, the air conditioner information, the warehousing / delivery information, and the improvement points. A power amount estimation means for estimating a second power consumption amount, which is the power consumption amount of the air conditioner after the operation,
An energy saving effect calculating means for calculating an energy saving effect based on the first power consumption amount and the second power consumption amount, and
Equipped with
After estimating the temperature distribution, the temperature distribution estimation means obtains the measured temperature distribution, which is the temperature distribution at the time of acquiring the temperature information obtained based on the installation position of the temperature sensor and the temperature information, and the estimation of the temperature distribution. When the difference from the estimated temperature distribution, which is the temperature distribution at the time of acquiring the temperature information, is not within the allowable range, the parameters used for the airflow analysis are changed based on the measured temperature distribution and the estimated temperature distribution . Re-estimate the temperature distribution,
Energy saving management device. The improvement point determining means determines the improvement point of the air conditioner for reducing the temperature unevenness of the temperature distribution.
The energy saving management device according to claim 1. The improvement point determining means determines an improvement point of the air conditioner for improving the operating rate of the air conditioner.
The energy saving management device according to claim 1 or 2. Further equipped with a meteorological information acquisition means for acquiring the meteorological information of the area where the low temperature warehouse is installed,
The temperature distribution estimation means performs airflow analysis and operation simulation of the air conditioner in consideration of the meteorological information.
The energy saving management device according to any one of claims 1 to 3. Further equipped with a humidity acquisition means for acquiring humidity information, which is information on the humidity of the low temperature warehouse,
The improvement point determining means further determines the improvement point of the air conditioner for making the humidity indicated by the humidity information equal to or less than the threshold value.
The energy saving management device according to any one of claims 1 to 4. Further equipped with a charge table storage means for storing charge table information, which is information on the electricity charge table,
The energy saving effect calculating means saves energy that can be reduced by applying the improvement points to the air conditioner based on the first power consumption amount, the second power consumption amount, and the price table information. Calculated as an effect,
The energy saving management device according to any one of claims 1 to 5. The temperature distribution estimation means estimates the power consumption of the air conditioner by simulating the operation of the air conditioner, and estimates the power consumption of the air conditioner.
The electric energy acquisition means acquires the electric energy estimated by the temperature distribution estimation means as the first electric energy.
The energy saving management device according to any one of claims 1 to 6. Further provided with an air conditioning control means for controlling the air conditioner based on the improvement points.
The energy saving management device according to any one of claims 1 to 7. Equipped with an air conditioner that air-conditions a low-temperature warehouse and an energy-saving management device,
The energy saving management device is
A layout storage means for storing layout information, which is information on the layout of the low temperature warehouse, and
An air conditioner information acquisition means for acquiring air conditioner information, which is information on the air conditioner, and
A warehousing / delivery information acquisition means for acquiring warehousing / delivery information, which is information on warehousing / delivery of luggage entering / exiting the low-temperature warehouse, and
An electric energy acquisition means for acquiring the first electric energy consumption, which is the electric energy consumption of the air conditioner,
A temperature acquisition means for acquiring temperature information, which is information on the air temperature, from a temperature sensor that measures the air temperature of the low temperature warehouse, and
A temperature distribution estimation means for estimating the temperature distribution of the low temperature warehouse by performing airflow analysis and operation simulation of the air conditioner based on the layout information, the air conditioner information, and the warehousing / delivery information.
An improvement point determining means for determining an improvement point of the air conditioner for energy saving based on the air conditioner information and the temperature distribution, and an improvement point determining means.
The improvement points are applied by performing air flow analysis and operation simulation of the air conditioner after applying the improvement points based on the layout information, the air conditioner information, the warehousing / delivery information, and the improvement points. A power amount estimation means for estimating a second power consumption amount, which is the power consumption amount of the air conditioner after the operation,
An energy saving effect calculating means for calculating an energy saving effect based on the first power consumption amount and the second power consumption amount, and
Equipped with
After estimating the temperature distribution, the temperature distribution estimation means obtains the measured temperature distribution, which is the temperature distribution at the time of acquiring the temperature information obtained based on the installation position of the temperature sensor and the temperature information, and the estimation of the temperature distribution. When the difference from the estimated temperature distribution, which is the temperature distribution at the time of acquiring the temperature information, is not within the allowable range, the parameters used for the airflow analysis are changed based on the measured temperature distribution and the estimated temperature distribution . Re-estimate the temperature distribution,
Energy saving management system. Acquire layout information, which is the layout information of the low temperature warehouse,
Acquire the air conditioner information, which is the information of the air conditioner that air-conditions the low temperature warehouse,
Obtaining warehousing / delivery information, which is information on warehousing / delivery of luggage entering / exiting the low-temperature warehouse,
Obtain the first power consumption, which is the power consumption of the air conditioner,
The temperature information, which is the information of the air temperature, is acquired from the temperature sensor that measures the air temperature of the low temperature warehouse.
Based on the layout information, the air conditioner information, and the warehousing / delivery information, the temperature distribution of the low temperature warehouse is estimated by performing airflow analysis and operation simulation of the air conditioner.
The measured temperature distribution, which is the temperature distribution at the time of acquiring the temperature information obtained based on the installation position of the temperature sensor and the temperature information, and the estimated temperature, which is the temperature distribution at the time of acquiring the temperature information obtained by estimating the temperature distribution. When the difference from the distribution is not within the allowable range, the parameters used for the airflow analysis are changed based on the measured temperature distribution and the estimated temperature distribution, and the temperature distribution is estimated again.
Based on the air conditioner information and the temperature distribution, the improvement points of the air conditioner for energy saving are determined.
The improvement points are applied by performing airflow analysis and operation simulation of the air conditioner after applying the improvement points based on the layout information, the air conditioner information, the warehousing / delivery information, and the improvement points. The second power consumption, which is the power consumption of the air conditioner after the operation, is estimated.
The energy saving effect is calculated based on the first power consumption amount and the second power consumption amount.
Energy saving management method. Computer,
Layout storage means for storing layout information, which is information on the layout of low-temperature warehouses,
An air conditioner information acquisition means for acquiring air conditioner information, which is information on an air conditioner that air-conditions a low-temperature warehouse.
A warehousing / delivery information acquisition means for acquiring warehousing / delivery information, which is information on warehousing / delivery of luggage entering / exiting the low-temperature warehouse.
An electric energy acquisition means for acquiring a first electric energy consumption which is the electric energy consumption of the air conditioner.
A temperature acquisition means for acquiring temperature information, which is information on the air temperature, from a temperature sensor that measures the air temperature of the low temperature warehouse.
A temperature distribution estimation means for estimating the temperature distribution of the low temperature warehouse by performing airflow analysis and operation simulation of the air conditioner based on the layout information, the air conditioner information, and the warehousing / delivery information.
An improvement point determining means for determining an improvement point of the air conditioner for energy saving based on the air conditioner information and the temperature distribution.
The improvement points are applied by performing air flow analysis and operation simulation of the air conditioner after applying the improvement points based on the layout information, the air conditioner information, the warehousing / delivery information, and the improvement points. A power amount estimation means for estimating a second power consumption amount, which is the power consumption amount of the air conditioner after the operation.
An energy saving effect calculating means for calculating an energy saving effect based on the first power consumption amount and the second power consumption amount.
To function as
After estimating the temperature distribution, the temperature distribution estimation means obtains the measured temperature distribution, which is the temperature distribution at the time of acquiring the temperature information obtained based on the installation position of the temperature sensor and the temperature information, and the estimation of the temperature distribution. When the difference from the estimated temperature distribution, which is the temperature distribution at the time of acquiring the temperature information, is not within the allowable range, the parameters used for the airflow analysis are changed based on the measured temperature distribution and the estimated temperature distribution . Re-estimate the temperature distribution,
program.

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