JP2000274772A - Unit and system for managing energy - Google Patents

Abstract

PROBLEM TO BE SOLVED: To realize optimized operation in the air conditioning control of building management system by providing means for collecting weather forecast information, deriving operational parameters based on the weather forecast information, and controlling operation of air conditioners optimally. SOLUTION: Weather forecast information opened to the public from a weather forecast information provider 2 is collected periodically by an energy managing unit through a public line 4 and a network connectors in building management systems 1a-1n. The prediction content is expressed numerically and substituted to a calculation formula in order to predict an optimal operation system of an air conditioner. When weather forecast is expressed numerically, tomorrow weather is handled as a point. For example, constants α, βand γare assigned, respectively, to fine, cloudy and rain weathers and the constants are added to optimal operational parameters calculated by the energy managing unit to obtain operational parameters. The parameters are transmitted to a main controller/human interface where the operational settings of an air conditioning facility are modified thus performing optimal operational control of air conditioners.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an energy management apparatus and an energy management method for realizing an optimized operation of air conditioning control in a building.

[0002]

2. Description of the Related Art FIG. 8 is a block diagram showing a conventional general building management system. In the figure, reference numerals 31a to 31n denote local controllers (L) which directly control various facilities in a building.
CP), 32 are various heat sources / air conditioning equipment, and 33 is a sensor for temperature, humidity, and the like. Reference numeral 34 denotes a network controller (NCP) for transmitting information between the LCPs 31a to 31n and inputting / outputting monitoring control to / from a center device; 35, a bus-type transmission path (M bus) serving as a transmission path; and 36, via a subsystem. A facility interface (FIP) 37 for monitoring and controlling the equipment in the building, a heat source / air conditioner which is one of the subsystems for inputting each signal of the condition / failure and measurement of the air conditioning / heat source equipment and outputting a control signal to each equipment. Equipment subsystem.

[0003] 38 is LCP31a-31n and FIP
The main controller / human interface (MH) which fetches the status / failure / measurement signals from the MPU 36 via the NCP 34 and the M bus 35, displays them on the CRT device, and outputs control signals to the respective facilities via the reverse route.
P) and 39 receive the signal from MHP38 and record the state change.
Message printer (MPR) for printing operation records, etc.
Reference numeral 40 denotes a graphic panel (GP) which receives status, failure, and measurement signals from the NCP 34 and displays the signals using a light emitting diode, a digital numerical display, and the like.
A logging printer (LPR) for inputting a signal from the M via the M bus 35 and printing forms and the like, an energy management device (EMS) 42, and a network connection device 43 for connecting to another network.

Next, the operation will be described. Here, only the air conditioning equipment control via the LCPs 31a to 31n and the heat source / air conditioning equipment subsystem 37 related to the present invention will be described. The LCPs 31a to 31n
The data from the humidity sensor 33 (the data output to the FIP 36 when passing through the subsystem 37) and M
Based on the temperature / humidity data set by the HP 38 and the temperature / humidity data from the setter in the room, data for controlling the heat source / air conditioner 32 is transmitted to the air conditioner and subsystem 37 so as to become the set data. . As described above, in the conventional control method, the control based on the data from the sensor 33 and the setting data is performed.

[0005]

The conventional building management system is configured as described above, and if the facility control is performed only with the measured values in the building, the rise in the outside temperature of the building and the
In response to sudden changes in the heat source, such as descent and people in the building,
Appropriate responses tended to be delayed. The over-control during this time has a problem that energy is wasted.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and has been made based on data provided from an external organization such as a public institution or another building and data of past actual values, and optimal equipment control. Is calculated to eliminate energy loss.

[0007]

According to a first aspect of the present invention, there is provided an energy management apparatus for collecting weather forecast information, deriving operation parameters based on the weather forecast information, and performing optimal operation control of the air conditioner. And means for performing such operations.

In the energy management system according to a second aspect of the present invention, the past data in which the outside air temperature and humidity of one day to be compared are similar to that of an arbitrary comparison target day are searched, and the air return temperature and air return humidity of the air conditioner in both are searched. The deterioration of the air conditioner is automatically detected by comparing the power consumption.

According to a third aspect of the present invention, there is provided an energy management system in which the return air temperature, the return air humidity, and the power consumption of an air conditioner are taken in from each building management system and the efficiency of the air conditioner is compared. Is to be sorted out.

According to a fourth aspect of the present invention, there is provided an energy management apparatus for calculating an energy demand forecast value per day based on past performance data, and calculating an energy demand forecast value tomorrow based on the forecast value and the weather forecast. There are provided means for calculating and means for deriving operating parameters based on the predicted energy demand value and formulating an optimal operation plan.

According to a fifth aspect of the present invention, there is provided an energy management apparatus for detecting a wavelength of a heat ray emitted from a heat source, a television camera apparatus for calculating a temperature or heat quantity in a room from the wavelength of the heat ray, and calculating a necessary heat quantity in the room. An image processing apparatus for calculation and a building management system for calculating the control content of the air conditioner based on the calculated amount of heat are provided.

According to a sixth aspect of the present invention, there is provided an energy management apparatus, comprising: means for calculating the number of registered persons in a room; means for calculating the amount of heat generated by the registered persons from the number of registered persons; Is provided.

[0013]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiment 1 An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing a system configuration of an energy management apparatus according to Embodiment 1 of the present invention. In the figure, reference numerals 1a to 1n denote a building management system (BAS), 2 denotes a weather information providing organization, etc.
Reference numeral 3 denotes an energy management center, and 4 denotes a general public line, a dedicated line, and the like. Further, the system in each of the BASs 1a to 1n is configured as shown in FIG.
5a to 5n are local controllers (LCPs) for directly controlling various facilities in the building, 6 is various heat sources / air conditioning facilities, 7
Is a sensor for temperature and humidity.

Reference numeral 8 denotes a network controller (NCP) for transmitting information between the LCPs 5a to 5n and inputting / outputting monitoring control to / from a center device, 9 denotes a bus-type transmission line (M bus) serving as a transmission line, and 10 denotes a sub-transmission line. Facility interface (FI) that monitors and controls facilities in the building via the system
P) and 11 are heat source / air-conditioning equipment subsystems which are one of subsystems for inputting respective signals of state / failure and measurement of the air-conditioning / heat source equipment and outputting control signals to respective equipment.

Reference numeral 12 denotes LCPs 5a to 5n and FIP10
Main controller / Human interface (MHP), which captures the status, failure, and measurement signals via the NCP 8 and M bus 9 and displays them on the CRT device, and outputs control signals to the respective facilities via reverse paths; 1
Reference numeral 3 denotes a message printer (MPR) which receives a signal from the MHP 12 and prints state change records, operation records, and the like.
A graphic panel (GP) 15 which receives status, failure, and measurement signals from the CP 8 and displays the signals with a light emitting diode and a digital numerical display, etc., 15 receives the signals from the MHP 12 via the M bus 9, and outputs forms and the like. A logging printer (LPR) 16 for printing, an energy management device (EMS) 16, and a network connection device 17 for connecting to another network.

Next, the operation will be described. The weather information provided by the weather information providing group 2 is periodically collected by the EMS 16 via the network connection device 17 in the BAS 1a to 1n via the network connection device 17 in the BAS 1a to 1n. In addition, the forecast calculation of the optimal operation method of the air conditioner will be implemented. Regarding the digitization of the weather forecast, tomorrow's weather is treated as a point. For example, constants such as α for sunny, β for cloudy, and γ for rain are determined in advance, and these constants are added to the air conditioner optimum operating parameters calculated by the EMS 16 to obtain operating parameters.

The EMS 16 transmits the operating parameters derived by the above method to the MHP 12. After receiving the parameters, the MHP 12 changes the operation setting of the air conditioner equipment and performs the optimal operation control of the air conditioner. The parameters transmitted from the EMS 16 to the MHP 12 include an air conditioner operation schedule, an air flow adjustment setting value, a room temperature setting correction value, a humidity setting correction value, and the like. With the above configuration, a change in the environment until the effect of the equipment control actually appears is predicted in advance, so that energy loss due to overcontrol can be eliminated.

Embodiment 2 FIG. Hereinafter, a second embodiment of the present invention will be described with reference to FIG. Based on the daily report data created by the MHP 12, the EMS 16 creates a database as shown in FIG. An arbitrary comparison target day and a day in which the outside temperature and humidity of one day of past data in the energy management device (EMS) 16 are similar are searched, and the return air temperature, the return air humidity, and the power consumption of the air conditioner are compared. . Data is compared for each air conditioner, and the difference from the past data is indicated by level.Each level is divided into inspection unnecessary, cleaning, inspection, and replacement, and a list is displayed and printed. Indicates that energy loss due to deterioration of the air conditioner has occurred.

The level of deterioration is determined by the following calculation result. (Examples 0 to 10: no inspection required, 10 to 15: cleaning, 1
5-20: Inspection, 20 or more: Replacement) (Deterioration level) = (Average temperature of comparison target-Past average temperature) × α + (Power consumption of comparison target-Past power consumption) × β α: Temperature coefficient , Β: power consumption coefficient It is also possible to set an ideal value in advance and compare it with the ideal value to detect deterioration of the air conditioner. As described above, the return air temperature, return air humidity, and power consumption of the air conditioner taken in from the building management system are compared with the past data,
By automatically detecting the deterioration of the air conditioner, the inspection of the air conditioner can be efficiently performed, and the energy loss due to the deterioration of the air conditioner can be minimized.

Embodiment 3 In FIG. 1, a plurality of building management systems (BAS) 1a to 1n are connected to an EMS in the energy management center 3 by using a general public line or a dedicated line 4, and the respective building management systems 1a to 1n are connected.
By taking in the return air temperature and humidity of the air conditioner and the power consumption from 1n, classifying the air conditioners by model and comparing the data, it is possible to select an air conditioner with high efficiency.

As a data comparison method, an air conditioner that minimizes (set temperature of air conditioner−room temperature) × (power consumption) is selected. By investigating the installation conditions of an efficient air conditioner, etc., the optimum use environment can be determined and applied to an inefficient air conditioner to improve the efficiency.

Embodiment 4 Hereinafter, Embodiment 4 of the present invention will be described with reference to the flowchart of FIG. The energy management device (EMS) 16 manages actual data indicating how much energy demand (cooling heat demand, hot heat demand, power demand) each building to be managed has in the past, and weather information as external information. . For the above-mentioned actual data, the forecast of the cold heat demand and the hot heat demand affected by the outside air condition is forecasted one hour ahead using the change coefficient derived from the demand measurement data at the same time two days before the previous year and the same time the day before the previous year. To do.

For example, assuming that the measured cold heat demand data two days before the previous year is X and the measured cold heat demand data the day before the previous year is Y, the change coefficient Z is calculated by Z = Y / X. This coefficient is updated daily. One hour ahead prediction is performed using the average value W of the measured cooling heat demand data of the same day in the past. Assuming that the one-time-ahead cooling heat demand forecast is A, A = Z * W From this A, a cooling heat demand forecast value per day is calculated. The heat demand forecast value is calculated in the same manner.

Since the power demand is relatively unaffected by other factors such as the outside temperature, the predicted value B is determined by using the average value of the past history data. The forecast value obtained as described above is multiplied by the constant of the weather forecast determined in the first embodiment to calculate a demand forecast value for tomorrow. In order to operate the equipment that supplies this demand forecast value, it is efficient to parameterize the characteristics (input / output, dynamic characteristics) of the equipment, and further move the equipment to what time zone in view of the energy unit price. The target is calculated by the EMS 16 and parameterized.

The parameters are stored in the building management systems 1a to 1a.
1n to control the supply equipment, thereby achieving efficient energy consumption and efficient supply equipment. As described above, in district heating / cooling for several buildings in the area, the energy management device 16 predicts future demand energy and formulates an optimal operation plan in consideration of the characteristics of the energy supply system (heat source). The building management systems 1a to 1n control supply facilities based on the operation plan.

Embodiment 5 Hereinafter, a fifth embodiment of the present invention will be described with reference to FIG. In FIG. 5, reference numeral 18 denotes a heat source in the room, which abstractly represents a plurality of heat sources in the room. 19 is a television camera device,
An infrared or similar camera device has the ability to detect the wavelength of the heat rays emitted by the heat source 18. Reference numeral 20 denotes an image processing device which calculates the temperature or the amount of heat at various points in the room from the wavelength of the heat ray of the heat source 18 captured by the television camera device 19, and calculates the amount of heat required in the room.
Reference numeral 21 denotes a building management system, which has a function equivalent to that of a conventional device, and has a function of inputting a measured value and a measured value. In addition, the building management system 21 can control heating, cooling, and ventilation of the air conditioner 22.

Next, the operation will be described with reference to the flowchart of FIG. The TV camera device 19 detects the heat rays generated by the heat source 18 to recognize the indoor heat distribution. For detection of heat rays, grid points in the room are set in advance,
The heat rays generated by the lattice points are measured. The command of the lattice point is transmitted from the image processing device 20 to the television camera device 19.
Command. The image processing device 20 calculates the amount of heat in the room by multiplying the amount of heat at the lattice points obtained from the television camera device 19 by a preset weighting coefficient. The difference from the actually appropriate amount of heat (can be arbitrarily set as a constant) is calculated, and the control content of the air conditioner 22 is calculated. After the calculation, the image processing device 20 sends the building management system 21
The control command of the air conditioner 22 is transmitted and the building management system 2
1 outputs an operation command to the air conditioner 22. As described above, the control of the air conditioner 22 is performed for 5 minutes, and the processing is continued if 5 minutes have not elapsed.

Embodiment 6 FIG. Hereinafter, a sixth embodiment of the present invention will be described with reference to the flowchart of FIG. For example, in a room where the number of enrolled persons is fixed within a fixed time, such as a conference room, whether or not a person is seated in the seat is determined by manual input from a keyboard or a weight sensor installed on the seat. The information is input to the building management systems 1a to 1n when the contacts are turned on. In this way, the building management systems 1a to 1n are provided with a mechanism that allows the building management systems 1a to 1n to recognize the number of persons registered in the room. Then, different weighting factors (constants) are selected depending on the difference between the room temperature and the outside air temperature, and the calorific value per person is multiplied by this weighting factor to determine the calorific value from the enrolled persons from the number of enrolled persons, and start operation of the equipment. The time is calculated, and the execution time of the equipment control shown in the first to fifth embodiments is shifted back and forth.

For example, when controlling air conditioning equipment, the more enrolled people, the more heat source (a person becomes a certain amount of heat source, for example, 10
The ON control is performed early in the cooling operation because the number of heat sources for one 0 W bulb increases. Conversely, in heating, the ON control is performed later as the number of enrolled persons increases. Such an operation is performed for 5 minutes, and if 5 minutes have not elapsed, the processing is continued.

[0030]

According to the energy management apparatus of the first aspect of the present invention, means for collecting weather forecast information, means for deriving operating parameters based on the weather forecast information, and performing optimal operation control of the air conditioner. Thus, the optimization operation of the air conditioning control in the building management system can be performed.

According to the energy management system of the second aspect of the present invention, past data in which the outside air temperature and humidity of one day to be compared are similar to those of an arbitrary comparison target day are searched, and the return air temperature and return air temperature of the air conditioner in both are searched. By comparing air humidity and power consumption, the deterioration of the air conditioner is automatically detected.
The inspection of the air conditioner can be performed efficiently, and the energy loss due to the deterioration of the air conditioner can be minimized.

According to the energy management system according to the third aspect of the present invention, the return air temperature, the return air humidity, and the power consumption of the air conditioner are taken in from each building management system, and the efficiency of the air conditioner is compared. Since the air conditioners are selected, the optimum use environment can be determined, and the efficiency of the air conditioners can be improved.

According to the energy management apparatus of the present invention, the means for calculating the daily energy demand forecast value based on the past actual data, and the energy demand forecast tomorrow based on the forecast value and the weather forecast Since the means for calculating the value and the means for deriving the operating parameters based on the predicted energy demand and formulating the optimal operation plan are provided, it is possible to achieve efficient energy consumption and efficient supply equipment.

According to the energy management device of the present invention, the television camera device for detecting the wavelength of the heat ray emitted from the heat source, the temperature or the amount of heat in the room is calculated from the wavelength of the heat ray, and the required temperature in the room is calculated. Since the image processing apparatus that calculates the amount of heat and the building management system that calculates the control content of the air conditioner based on the calculated amount of heat are provided, the room temperature can be optimized.

According to the energy management device of the present invention, the means for calculating the number of persons in the room and the amount of heat generated by the persons are determined from the number of persons in the room.
Since the means for calculating the operation start time of the equipment is provided, appropriate temperature control can be performed according to the number of enrolled persons.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a system configuration of an energy management device according to a first embodiment of the present invention.

FIG. 2 is a configuration diagram showing a building management system according to the first embodiment of the present invention.

FIG. 3 is a database diagram showing daily report data used in Embodiment 2 of the present invention.

FIG. 4 is a flowchart showing an operation of the energy management device according to the fourth embodiment of the present invention.

FIG. 5 is a block diagram showing a system configuration of an energy management device according to a fifth embodiment of the present invention.

FIG. 6 is a flowchart showing an operation of the energy management device according to the fifth embodiment of the present invention.

FIG. 7 is a flowchart showing an operation of the energy management device according to the sixth embodiment of the present invention.

FIG. 8 is a configuration diagram showing a conventional building management system.

[Explanation of symbols]

18 heat source, 19 TV camera device, 20 image processing device, 21 building management system, 22 air conditioner.

 ──────────────────────────────────────────────────続 き Continued on the front page (72) Inventor Hiroshi Hagiwara 2-3-2 Marunouchi, Chiyoda-ku, Tokyo Mitsui Electric Co., Ltd. (72) Inventor Satoshi Sakata 2-3-2 Marunouchi, Chiyoda-ku, Tokyo 3 F term in Ryo Denki Co., Ltd. (reference) 3L060 AA03 AA04 CC01 CC06 CC08 CC10 CC11 CC19 DD05 EE01 5H004 GA15 GA36 GB20 HA01 HA16 HB01 HB14 HB20 JA12 JA23 JB06 JB07 JB18 KA16 KA80 KC03 KC23 LA16 LA19 MA02 MA52

Claims (6)

[Claims] 1. An energy management apparatus comprising: means for collecting weather forecast information; and means for deriving operation parameters based on the weather forecast information and performing optimal operation control of an air conditioner. 2. An air-conditioning system by retrieving past data in which the outside air temperature and humidity on a given comparison target day and the day are similar, and comparing the air return temperature, air return humidity and power consumption of the air conditioner between the two. An energy management system that automatically detects machine deterioration. 3. An energy management system which takes in the return air temperature, return air humidity, and power consumption of the air conditioner from each building management system and compares the efficiency of the air conditioners to select the air conditioners. . 4. A means for calculating a daily energy demand forecast value based on past performance data, a means for calculating a tomorrow's energy demand forecast value based on the forecast value and a weather forecast, and Means for deriving operating parameters based on the operating parameters and formulating an optimal operation plan. 5. A television camera device for detecting a wavelength of a heat ray emitted from a heat source, an image processing device for calculating a temperature or a heat amount in a room from the wavelength of the heat ray and calculating a necessary heat amount in the room. An energy management device, comprising: a building management system that calculates the control content of the air conditioning equipment based on the amount of heat. 6. A means for calculating the number of registered persons in a room, and a calorific value generated by the registered persons is calculated from the number of registered persons.
Means for calculating an operation start time of the facility.