JPH07324794A - Energy consumption predicting apparatus for air conditioner - Google Patents

Abstract

PURPOSE:To predict energy consumption by inputting the atmospheric temperature and an indoor temperature, predicting the operation of an air conditioner for an indoor temperature set value, and comparing the predicted result with an air conditioner data base. CONSTITUTION:Today's highest and lowest atmospheric temperatures Tmax, Tmin are input from atmospheric temperature input means 1, today's indoor temperature Tr at the time of starting an air conditioner operation is input from indoor temperature input means 2, and today's indoor temperature set value Ts is input from set value input means 3. A deviation emax between the Tmax and the Ts and a deviation between the Tmin and the Ts are calculated by atmospheric deviation calculating means 4, and a deviation er between the Tr and the Ts is calculated by indoor deviation calculating means 5. Today's number of revolutions of a fan of an air conditioner operating time zone and the mean value of the valve opening per one hour are predicted by air conditioner operation predicting means 6 based on the emax, 8min, er. Power consumption is predicted from the predicted result of the means 6, the number of revolutions of the tan, the used power, the valve opening and the gas consumption stored in air conditioner data base 7 by energy consumption predicting means 8.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an energy consumption predicting apparatus for an air conditioner for predicting the energy consumption of an air conditioner for cooling and heating an office building.

[0002]

2. Description of the Related Art In recent years, the necessity of comprehensive energy consumption control originating from global environmental problems has been discussed.
In office buildings, controlling the energy consumption of air conditioners, which account for most of the energy consumption, has become an important issue. Against this background, there is an increasing need for an air conditioner energy consumption prediction device that predicts in advance how much energy will be consumed when the air conditioner is operated for one day or one month.

Conventionally, in the energy consumption predicting apparatus for an air conditioner of this type, it has been general to predict the energy consumption of the entire building on a daily or monthly basis.

[0004]

However, in such a conventional energy consumption predicting apparatus for an air conditioner, the energy consumption predicting function for each air conditioner and the energy consumption when the indoor temperature set value is changed It does not have a function for predicting the amount of change. Therefore, the indoor temperature set value, which is the simplest method to reduce the energy consumption of the air conditioner, is relaxed (the indoor temperature set value is raised during cooling,
Since the effect of lowering the room temperature set value during heating cannot be shown in concrete values, the room temperature set value is not actively relaxed and the energy consumption of the air conditioner is slowed down. There was a problem that it did not proceed.

The present invention solves the problems of the conventional energy consumption predicting apparatus, and is an energy consumption predicting apparatus for an air conditioner capable of predicting the energy consumption for an indoor temperature set value for each air conditioner. The first purpose is to provide.

A second object of the present invention is to provide an energy consumption predicting apparatus for an air conditioner capable of predicting an operating cost for an indoor temperature set value for each air conditioner.

A third object is to provide an energy consumption predicting apparatus for an air conditioner, which compares an operating cost of the air conditioner with a predetermined cost and judges whether or not the room temperature set value needs to be relaxed. To provide.

A fourth object is to provide an air conditioner energy consumption predicting apparatus capable of automatically inputting a room temperature necessary for predicting energy consumption of the air conditioner.

A fifth object of the present invention is to provide an energy consumption predicting apparatus for an air conditioner, which is capable of automatically inputting an outside air temperature necessary for predicting the energy consumption of the air conditioner.

A sixth object is to add the deviation between the indoor temperature setting value and the blowout temperature setting value to the input, so that the energy consumption amount of the air conditioner can be predicted more accurately. To provide a prediction device.

[0011]

A first means for achieving the first object of the present invention is to provide an outside air temperature input means for inputting an outside air temperature, an indoor temperature input means for inputting an indoor temperature, and an indoor A set value input means for inputting a set value of temperature; an outside air deviation calculation means for calculating a deviation between the set value of the room temperature and the outside air temperature based on the output of the set value input means and the output of the outside air temperature input means; Indoor deviation calculating means for calculating the deviation between the set value of the indoor temperature and the indoor temperature based on the output of the set value input means and the output of the indoor temperature input means, the output of the outside air deviation calculating means and the output of the indoor deviation calculating means An air conditioner operation predicting means for predicting the operation of the air conditioner based on the above, an air conditioner database for storing energy usage amounts such as power usage amount and gas usage amount for the operation of the air conditioner, and the air conditioning operation. It is obtained by the configuration of the energy consumption prediction means for predicting output and energy consumption of the air conditioner based on the output of the air conditioner database prediction means.

A second means for achieving the second object is a charge database for storing a charge system of utility charges such as gas and electricity, an output of the charge database and an output of the energy consumption predicting means. First operation cost prediction calculation means for predicting the operation cost of the air conditioner based on
This is a configuration added to the means.

A third means for achieving the third object is an operating cost setting means for setting an upper limit value of the operating cost of the air conditioner, an output of the operating cost predicting means, and the operating cost setting means. The setting value changing means for judging whether or not it is necessary to change the room temperature setting value based on the output of the above is added to the second means.

Further, a fourth means for achieving the fourth object, instead of the indoor temperature input means, stores an indoor temperature measuring means for measuring an indoor temperature and an output of the indoor temperature measuring means. Indoor temperature storage means, operation start time setting means for setting the operation start time of the air conditioner, indoor temperature at the air conditioner operation start time based on the output of the indoor temperature storage means and the output of the operation start time setting means The indoor temperature predicting means for predicting the above is added to the first means.

Further, a fifth means for achieving the fifth object has a constitution in which, instead of the outside air temperature inputting means, an outside air temperature acquiring means for acquiring today's outside air temperature predicted value is added to the first means. It was done.

A sixth means for achieving the sixth object is an air supply set value input means for setting the temperature of the air blown out of the air conditioner, an output of the set value input means and the air supply setting. The configuration is such that a set value deviation calculating means for calculating the deviation of the output of the value means is added to the first means.

[0017]

With the structure of the first means, the present invention predicts the operation of the air conditioner with respect to the indoor temperature set value by inputting the outside air temperature and the indoor temperature, and compares the prediction result with the air conditioner database to consume energy. The quantity can be predicted.

With the configuration of the second means, the operating cost for the indoor temperature set value can be predicted for each air conditioner by referring to the charge database.

Further, by the configuration of the third means, by comparing the predicted operating cost of the air conditioner with a predetermined cost upper limit value, it is possible to judge whether or not the room temperature set value needs to be relaxed. Is what you can do.

With the configuration of the fourth means, the room temperature required for predicting the energy consumption of the air conditioner can be predicted by storing past room temperature measurement values.

Further, with the configuration of the fifth means, it is possible to automatically obtain the data of the outside air temperature necessary for predicting the energy consumption of the air conditioner.

Further, with the configuration of the sixth means, by adding the input of the outlet temperature set value to the operation prediction of the air conditioner, it is possible to more accurately predict the energy consumption amount of the air conditioner. is there.

[0023]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a diagram showing a basic configuration of an energy consumption prediction device for an air conditioner according to a first embodiment of the present invention.

As shown in FIG. 1, the outside air temperature input means 1
Is today's highest outside temperature (Tma
x) and the predicted value of the minimum outside temperature (Tmin). The indoor temperature input means 2 inputs the indoor temperature Tr at the start of today's air conditioner operation. In addition, when inputting before today's air conditioner operation start, an operator will predict and input the indoor temperature at the time of operation start of an air conditioner. The set value input means 3 inputs today's room temperature set value Ts. The outside air deviation calculating means 4 calculates the deviation (emax) between Tmax and Ts and the deviation (emin) between Tmin and Ts as follows.

Emax = Ts-Tmax emin = Ts-Tmin The indoor deviation calculating means 5 calculates the deviation (er) between Tr and Ts as follows.

Er = Ts-Tr The air conditioner operation predicting means 6 is based on emax, emin and er, and an average value (F1 ...・ Fi, V1 ・
-Predict Vi). This air conditioner operation prediction means 6 learns emax, emin and er using past data.
Are input and F1 ... Fi and V1 ... Vi are output as a neural network.

As shown in FIG. 2, the air conditioner database 7 stores the relationship between the fan speed of the air conditioner and the amount of power used, and the relationship between the valve opening and the amount of gas used. The energy consumption predicting unit 8 compares the prediction result of the air conditioner operation predicting unit 6 with the data of the air conditioner database 7 to predict the energy consumption of the air conditioner. That is, F
Power consumption corresponding to 1 ... Fi (D1 ... Di)
And V1 ... Gas consumption corresponding to Vi (G1 ...
・ Gi) is required. Then, the total amount of electric power used (DT) and the amount of gas used (GT) per day are calculated as follows.

DT = D1 + D2 + ... + Di GT = G1 + G2 + ... + Gi As described above, according to the energy consumption predicting apparatus for the air conditioner of the first embodiment of the present invention, the air conditioner constituted by the neural network is used. The operation predicting means 6 predicts the operation of the air conditioner every hour, and the energy consumption predicting means 8 predicts the total electric power consumption and gas consumption per day based on the prediction.

In this embodiment, the air conditioner operation predicting means 6 is composed of a neural network, but it goes without saying that the same effect can be obtained even if it is composed of a Kalman filter or a time series analysis model.

Next, the second embodiment of the present invention will be described with reference to FIG.
Will be described with reference to. The same parts as those in the first embodiment are designated by the same reference numerals and the description thereof will be omitted. FIG. 3 is a diagram showing a basic configuration of an energy consumption prediction device for an air conditioner according to a second embodiment of the present invention.

As shown in FIG. 3, the charge database 9 stores a power charge system and a gas charge system as shown in FIG. The operating cost predicting means 10 calculates the operating cost CP of the air conditioner by comparing DT and GT, which are the prediction results of the energy consumption predicting means 8, with the electric power charge system and the gas charge system stored in the charge database 9. .

As an example of calculating Cp, for example, the energy consumption prediction result of a building in which 50 air conditioners are installed on a certain day in July (summer) is DT = 20 kwh, GT = 10.
The operating cost when m ³ is calculated as follows.

Electric power cost = 1510 * 3200/31 /
50 + 17.41 * 20 = 3465 yen Gas cost = (45000 + 229680) / 3 1/5
0 + 27.92 * 10 = 456 yen Cp = 3465 + 456 = 3921 yen As described above, according to the energy consumption predicting apparatus for the air conditioner of the second embodiment of the present invention, the operating cost calculating means 10 makes one day of the air conditioner. The operating cost is calculated.

Next, the third embodiment of the present invention will be described with reference to FIG.
Will be described with reference to. The first embodiment and the second embodiment
The same parts as those in the embodiment are designated by the same reference numerals and the description thereof will be omitted.
FIG. 5: is a figure which shows the basic composition of the energy consumption amount prediction apparatus of the air conditioner of the 3rd Example of this invention.

As shown in FIG. 5, operating cost setting means 1
In 1, the operator sets the operating cost upper limit value Ch of the air conditioner in advance. The set value changing means 12 compares the operating cost Cp calculated by the operating cost predicting means 10 with the operating cost upper limit value Ch of the air conditioner set in the operating cost setting means 11, and when Cp> Ch, the indoor temperature It is judged that the set value needs to be relaxed, and when Cp <Ch, it is judged that the room temperature set value need not be relaxed. The operator refers to this determination result to change the room temperature set value.

As described above, according to the energy consumption predicting apparatus for the air conditioner of the third embodiment of the present invention, the set value changing means 12 compares the daily operating cost of the air conditioner with the preset cost value. Then, it is determined whether the room temperature set value needs to be relaxed.

Next, a fourth embodiment of the present invention will be described with reference to FIG.
Will be described with reference to. The same parts as those in the first embodiment are designated by the same reference numerals and the description thereof will be omitted. FIG. 6 is a diagram showing a basic configuration of an energy consumption prediction device for an air conditioner according to a fourth embodiment of the present invention.

As shown in FIG. 6, the room temperature measuring means 13
Is composed of an indoor temperature sensor and measures the indoor temperature. The indoor temperature storage means 14 stores the past 24
The measured values (t1, t2 ... t24) of the room temperature for the time are stored. The operation start time (ST) of the air conditioner is preset in the operation start time setting means 15 by the operator.

The indoor temperature predicting means 16 has t1, t2 ...
The room temperature (Tr) at the time when the air conditioner starts operating is predicted based on t24 and ST. The room temperature predicting means 16 is composed of a neural network which inputs t1, t2 ... t24 and ST learned using past data and outputs Tr.

As described above, according to the energy consumption predicting apparatus for the air conditioner of the fourth embodiment of the present invention, the room temperature predicting means 16 predicts the room temperature at the start of the operation of the air conditioner.

In the present embodiment, the indoor temperature predicting means 1
Although 6 is composed of a neural network, it goes without saying that the same effect can be obtained by using a Kalman filter or a time series analysis model.

Next, a fifth embodiment of the present invention will be described with reference to FIG.
Will be described with reference to. The same parts as those in the first embodiment are designated by the same reference numerals and the description thereof will be omitted. FIG. 7: is a figure which shows the basic composition of the energy consumption amount prediction apparatus of the air conditioner of the 5th Example of this invention.

As shown in FIG. 7, the outside air temperature acquisition means 17
Then, today's maximum outside temperature (Tmax) and minimum outside temperature (Tmin) predicted value data are acquired from a private weather forecasting company through a telephone line. This prediction value data is basically acquired by a method in which a telephone line is connected to a modem and a computer is used to acquire the data.

As described above, according to the energy consumption predicting apparatus for the air conditioner of the fifth embodiment of the present invention, the outside temperature acquiring means 17 predicts the maximum outside temperature (Tmax) and the minimum outside temperature (Tmin) of the day. Value data can be obtained.

Next, a sixth embodiment of the present invention will be described with reference to FIG.
Will be described with reference to. The same parts as those in the first embodiment are designated by the same reference numerals and the description thereof will be omitted. FIG. 8: is a figure which shows the basic composition of the energy consumption amount prediction apparatus of the air conditioner of 6th Example of this invention.

As shown in FIG. 8, the air supply set value input means 1
In 8, the set value (Tf) of the air blown out from the air conditioner is preset by the operator. The set value deviation calculation means 19 calculates the deviation (es) between the room temperature set value (TS) and the set value (Tf) of the air blown out of the air conditioner as follows.

Es = Ts-Tr The air conditioner operation predicting means 20 uses the emax, emin, er, and es to calculate the hourly average value (F1) of the fan rotation speed and the valve opening degree in the air conditioner operating time zone of today. ... F
i, V1 ... Vi) is predicted. This air conditioner operation prediction means 20 has learned emax and emin using past data.
, Er and es are input, F1 ... Fi and V1 ...
-It is composed of a neural network that outputs Vi.

In this embodiment, the air conditioner operation predicting means 20 is composed of a neural network, but it goes without saying that the same effect can be obtained even if it is composed of a Kalman filter or a time series analysis model.

Each means of the present invention can be realized by software using a computer, or can be realized by using a dedicated hardware circuit having the respective functions.

[0050]

As is apparent from the above embodiments, according to the present invention, the energy consumption of the air conditioner for today with respect to the set value of the indoor temperature is predicted, so that it is an effective help to make an operation plan of the air conditioner. Becomes

Further, since the operation cost for the indoor temperature set value is predicted, it is possible to make an accurate operation plan of the air conditioner.

Further, it is possible to judge whether or not the room temperature set value needs to be relaxed by comparing the predicted operating cost with the predetermined operating cost.

Furthermore, it is possible to predict the indoor temperature at the start of the operation of the air conditioner, which is input data necessary for predicting the energy consumption of the air conditioner.

Further, it is possible to automatically obtain today's maximum outside temperature and minimum outside temperature, which are input data necessary for predicting the energy consumption of the air conditioner.

Furthermore, the energy consumption of the air conditioner can be predicted more accurately by inputting the set value of the blowout temperature of the air conditioner.

[Brief description of drawings]

FIG. 1 is a configuration diagram of an energy consumption prediction device for an air conditioner according to a first embodiment of the present invention.

FIG. 2 is a diagram showing the contents of an air conditioner database of the embodiment.

FIG. 3 is a configuration diagram of an energy consumption prediction device for an air conditioner according to a second embodiment of the present invention.

FIG. 4 is a diagram showing the contents of a charge database of the embodiment.

FIG. 5 is a configuration diagram of an energy consumption prediction device for an air conditioner according to a third embodiment of the present invention.

FIG. 6 is a configuration diagram of an energy consumption prediction device for an air conditioner according to a fourth embodiment of the present invention.

FIG. 7 is a configuration diagram of an energy consumption amount prediction device for an air conditioner according to a fifth embodiment of the present invention.

FIG. 8 is a configuration diagram of an energy consumption prediction device for an air conditioner according to a sixth embodiment of the present invention.

[Explanation of symbols]

 1 Outside Air Temperature Input Means 2 Indoor Temperature Input Means 3 Set Value Input Means 4 Outside Air Deviation Calculation Means 5 Indoor Deviation Calculation Means 6 Air Conditioner Operation Prediction Means 7 Air Conditioner Database 8 Energy Consumption Prediction Means 9 Charge Database 10 Operating Cost Prediction Means 11 Operating cost setting means 12 Setting value changing means 13 Indoor temperature measuring means 14 Indoor temperature storing means 15 Operating start time setting means 16 Indoor temperature predicting means 17 Outside air temperature acquiring means 18 Air supply set value input means 19 Set value deviation calculating means 20 Air conditioning Machine operation prediction means

Claims (6)

[Claims] 1. An outdoor air temperature input means for inputting an outdoor air temperature, an indoor temperature input means for inputting an indoor temperature, a set value input means for inputting a set value of the indoor temperature, an output of the set value input means and the above. An outside air deviation calculating means for calculating a deviation between the set value of the indoor temperature and the outside temperature based on the output of the outside temperature input means; and an set value of the indoor temperature based on the output of the set value input means and the output of the indoor temperature input means. An indoor deviation calculating means for calculating the deviation of the indoor temperature; an air conditioner operation predicting means for predicting the operation of the air conditioner based on the outputs of the outside air deviation calculating means and the indoor deviation calculating means; An air conditioner database that stores energy usage such as power usage and gas usage for operation, and an air conditioner based on the output of the air conditioner operation prediction means and the output of the air conditioner database. Consumption predicting apparatus for an air conditioner, comprising an energy consumption predicting means for predicting the energy consumption of the air conditioner. 2. A charge database for storing a charge system of utility charges such as gas and electricity, and an operation cost prediction calculation for predicting the operation cost of the air conditioner based on the output of the charge database and the output of the energy consumption amount prediction means. The energy consumption predicting apparatus for an air conditioner according to claim 1, further comprising: 3. An operating cost setting means for setting an upper limit value of the operating cost of the air conditioner, and whether it is necessary to change the indoor temperature set value based on the output of the operating cost predicting means and the output of the operating cost setting means. The energy consumption predicting apparatus for an air conditioner according to claim 1 or 2, further comprising: a set value changing unit that determines whether or not the set value is changed. 4. Instead of the indoor temperature input means, an indoor temperature measuring means for measuring an indoor temperature, an indoor temperature storing means for storing an output of the indoor temperature measuring means, and an operation start time of an air conditioner are set. And a room temperature predicting means for predicting the room temperature at the air conditioner operation start time based on the outputs of the room temperature storage means and the operation start time setting means. The energy consumption predicting apparatus for an air conditioner according to claim 1. 5. The energy consumption predicting apparatus for an air conditioner according to claim 1, further comprising, instead of the outside air temperature inputting means, an outside air temperature acquiring means for acquiring today's outside air temperature predicted value. 6. An air supply set value input means for setting a temperature of blown air of an air conditioner, and a set value deviation calculation means for calculating a deviation between an output of the set value input means and an output of the air supply set value input means. The air conditioner operation predicting means predicts the operation of the air conditioner based on the output of the outside air deviation calculating means, the output of the indoor deviation calculating means, and the output of the set value deviation calculating means. Item 1. An energy consumption prediction device for an air conditioner according to Item 1.