KR20160130023A - Method and system for electric power demand management and energy conservation using predicted electric power profile - Google Patents

Abstract

The present invention relates to a method and system for real-time demand management and energy conservation for a building by using a predicted power profile. Provided is the method for real-time demand management and energy conservation for a building by using a predicted power profile, the method comprising the steps of: (a) generating, by an energy demand management server (100), a predicted energy profile of a building based on past weather data acquired from a weather database (600) of a meteorological administration and past power consumption data acquired from a watt-hour meter (400) for remote metering by using a predetermined method; (b) setting, by an energy demand management client server (200), target power consumption for the building; (c) managing, by a building automatic control system (510), the building by starting to perform a first scenario within a preset first time (t1) after a time at which the predicted power profile exceeds a predetermined percentage of the target power consumption; and (d) when current power consumption measured by a power meter (300) exceeds a predetermined first upper power limit, managing, by the building automatic control system (510), the building by starting to perform a second scenario at an earlier one of a point within a preset second time (t2) after a time at which the predicted power profile exceeds another predetermined percentage of the target power consumption and a current time.

Description

FIELD OF THE INVENTION The present invention relates to a method and system for real-time demand management and energy reduction using a predictive power profile,

The present invention relates to a method and a system for realizing real-time demand management and energy reduction of a building by generating a predicted power profile using past power use data and weather data of a building and applying it to a current building.

The portion of global energy consumption that the building occupies is significant. According to the IEA report, energy consumption in residential and commercial buildings reaches 36.0%, while transportation accounts for 27.3% of total energy consumption.

Korea is also similar, with building energy accounting for 33% of the total national energy.

Accordingly, various technologies and policies are being introduced to reduce building energy consumption.

On the other hand, the share of electricity consumed in buildings is also significant. Recently, power consumption of buildings has been continuously increasing due to income increase and climate change.

The trend of increasing power consumption of buildings is maximized during the summer season when general power consumption is rapidly increasing, resulting in large-scale power outages in the country, resulting in various social problems. In the case of building owners, Is a big problem.

Of course, it is possible to limit the use of air-conditioning equipment to reduce the power consumption of the building at all times, but in this case, the comfort level felt by occupants may be lowered. can do.

A related prior art will be described.

Korean Patent No. 1278638 provides a method of performing peak operation when a certain building receives power supply status from KEPCO and a predetermined level is exceeded. It is similar to the present invention in that the building operation method is different according to the degree of electric power. However, it depends on the data from KEPCO only, and if it exceeds a certain level, There are disadvantages.

≪ Background Art &

Korean Patent No. 1278638

Japanese Laid-Open Patent Application No. 2005-201482

Korea Patent Publication No. 2013-0005769

The present invention is intended to solve the above-described problems.

More specifically, the present invention provides a method and system capable of timely and effective energy reduction within the limit of the target power while giving maximum comfort to occupants.

According to an aspect of the present invention, there is provided an energy demand management system comprising: (a) an energy demand management operation server (100) for storing historical meteorological data confirmed in a meteorological database (600) Generating a predicted power profile of the building by a predetermined method, using historical power usage data identified in the power budget; (b) In the energy demand management client server 200, a target power of a building is set; (c) a building automation system (BAS) 510 receives a first scenario (t1) before a predetermined first time (t1) from when the predicted power profile exceeds a predetermined percentage of the target power Performing a building operation; And (d) if the current power measured by the meter (300) exceeds a predetermined first power ceiling, the building automatic control system (510) is configured to set a predetermined percentage of the target power And realizing the building real time demand management and energy reduction method, including the step of operating the building after the second scenario is performed before the second time (t2) or the present time.

In addition, after step (d), (e) if the current power exceeds a predetermined second power ceiling, the building automatic control system 510 may determine that the current power exceeds a predetermined predetermined percentage of the target power The third scenario may be performed before the predetermined third time t3 or at an earlier time than the present time to operate the building.

In addition, it is preferable that the building automatic control system 510 further includes a step of stopping the execution of the first scenario when the current power is equal to or less than the predetermined first power lower limit after the step (c) Do.

In addition, after the step (c1), if the current power is greater than a predetermined first power lower limit, the building automatic control system (510) operates the building by performing the first scenario. And (c3) returning to the step before the step (c1).

If the current power is equal to or less than the predetermined second power lower limit after step (d), before (d), and (d1), the building automatic control system 510 stops performing the second scenario Operating the building by performing the first scenario; And (d2) returning to step (d).

(E1) if the current power is less than or equal to the another predetermined percentage of the target power, the building automatic control system (510) stops performing the third scenario and the second The scenario is executed and the building is operated; And (e2) returning to a step before the step (e).

In addition, the first scenario is executed and the building is operated because the operation time and the maintenance time of the air conditioner 530 of the building are reduced by 5% in comparison with the past average value, The building is operated such that the upper limit value is decreased by 5%, the lower limit value is increased by 5%, and the enthalpy target value is decreased by 5% when the enthalpy operation of the building is operated, and the second scenario is executed, The operation time and the maintenance time of the facility 530 are reduced by 10% compared with the past average value, the upper temperature limit value set in the air conditioner 530 of the building is reduced by 10%, the lower limit value is increased by 10% It is desirable that the building be operated so that the enthalpy target value is reduced by 10%.

Also, it is preferable that the building is operated so that the occupant can not control the air conditioner 530 of the building because the third scenario is executed and the building is operated.

In addition, when the first, second, and third scenarios are performed and the building is operated, it is preferable that the building is operated so that the operation of the lighting equipment 540 in the space sensed by the occupant sensor is stopped.

Also, the predetermined method of generating a predicted power profile of a building may include: (a1) the energy demand management operation server 100 checks past weather data including temperature and humidity from the weather database 600 by date ; (a2) the energy demand management operation server 100 confirms past electricity usage data by date from the watt hour meter 400 for each day of the week; (a3) computing the regression equation of power use according to temperature and humidity by mapping the past power usage data and the past weather data to the energy demand management operation server 100; And (a4) generating the predicted power profile of the building in units of one day by substituting the temperature and humidity obtained by the temperature and humidity sensor 515 in the regression equation by the energy demand management operation server 100 Do.

In order to solve the above-described problems, another embodiment of the present invention provides a system for controlling automatic building control systems, which interfaces with a building automatic control system 510 of a plurality of buildings through a communication server, Which is capable of verifying past power use data, verifying past weather data from weather database 600, and generating a predicted power profile of the building by a predetermined method using past historical power usage data and past weather data, The energy demand management operation server 100; The energy demand management client server 200 capable of modifying a scenario in which a building is installed and a target power is set in a specific building; A meter 300 for confirming current power; A watt hour meter (400) for checking the past power usage data of a specific building; The building automatic control system 510 provided in a specific building; A temperature and humidity sensor 515 for sensing the temperature and humidity of the building exterior to generate a predicted power profile of the building; And a plurality of facilities (520, 530, 540, 550) controlled by the building automatic control system (510).

The system further includes a smart thermostat 590 provided for each space in the specific building. The smart thermostat 590 is installed in the air conditioning facility 530 for the space where the smart thermostat 590 is located, And the lighting equipment 540, and it is preferable that the building is controlled only within a specific scenario.

The smart thermostat 590 further includes a display unit 591; A pressing part 592 for generating an electric signal by pressing the display part 591; A rotation adjusting unit 595 formed along the outer circumference of the display unit 591 and generating an electrical signal by rotation; And the smart thermostat 590 is connected to the air conditioner equipment 592 for the space where the smart thermostat 590 is located by the pushing part 592 and the rotation adjusting part 595 530 and the lighting fixture 540, as shown in FIG.

According to the present invention, when the target power is set, the occupant can be effectively controlled to operate the building within the limit of the target power while giving maximum comfort to the occupant. In this way, it is possible to reduce the energy use in the state viewpoint while reducing the maintenance cost in the viewpoint of the landlord, while providing comfort to occupants.

Further, the present invention predicts future electric power using weather data including temperature and humidity, instead of predicting future electric power using a simple past electric power usage value such as one day, one month, one year ago, The prediction accuracy can be increased, and as the prediction accuracy becomes higher, the energy reduction can be performed effectively and in a timely manner.

In addition, when the national energy management policy is changed, the user according to the present invention can easily modify the target power or modify the scenario.

It can also be linked to any kind of building automatic control system (BAS) and is universal.

Figure 1 schematically shows a system according to the invention.
Figures 2 and 3 schematically illustrate one embodiment of a smart thermostat of a system according to the present invention.
4 is a flow chart for explaining a method according to the present invention.
5-8 are exemplary graphs illustrating the predicted power profile and current power to illustrate the method according to the present invention.

Hereinafter, "operation of the building" means controlling various facilities consuming energy in terms of the energy of the building.

In the following, "scenario" means a scheme for operating a building, and "execution of a scenario" means operation of a building by controlling facilities of the building according to the scenario.

Hereinafter, "enthalpy operation" is a method of operating a building, in which the enthalpy is confirmed by utilizing the temperature and humidity inside and outside the building, and the air-conditioning system is operated based on the target enthalpy value.

Hereinafter, the present invention will be described in detail with reference to the drawings.

1. Explanation of building real-time demand management and energy reduction system

The system according to the present invention comprises an energy demand management operation server (100); An energy demand management client server 200; A meter 300; A watt hour meter 400 for remote meter reading; And a building automatic control system (510). Here, the energy demand management client server 200, the meter 300, the watt hour meter 400, and the building automatic control system 510 are provided for each specific building 500.

The energy demand management operation server 100 is capable of integrally controlling a plurality of buildings. The energy demand management operation server 100 interfaces with a building automatic control system 510 of a plurality of buildings through a communication server (not shown) The past power use data is checked through the provided watt-hour meter 400, the past weather data is confirmed from the weather database 600, and the past weather use data and the past weather data are used, And generates a predicted power profile of the building.

Here, it is important to generate a predicted power profile for a particular building, which will be described in detail below.

The energy demand management client server 200 can be provided with a specific target power in a specific building, and can set or modify a scenario for operating the building.

As will be described in the method below, the method according to the invention provides scenarios 1, 2 and 3, each targeting 70%, 80%, 90% of the target power, where the number or percentage of scenarios Modifiable.

The meter 300 measures the current power of the building.

The watt hour meter (400) for remote meter reading can confirm the past power use data of the building. The identified historical power usage data is transmitted to the energy demand management operations server 100 and used to generate a predicted power profile.

In the system according to the present invention, the building automatic control system 510 may be any conventional building automatic control system.

It is possible to control various facilities 520, 530, 540 and 550 of the building in the same manner as the conventional general building automatic control system 510. Here, the facilities can be classified into, for example, the hardware 520, the air conditioning equipment 530, the lighting equipment 540, and other facilities 550, but the division method is not limited thereto.

In addition, reference numerals 510, 520, 530 and 540 are to be understood as reference numerals denoting all facilities in a building.

The building automatic control system 510 is connected to the temperature / humidity sensor 515 provided outside the building, so that the temperature and humidity of the outside air of the building can be checked. The temperature and humidity thus determined may be used to determine whether or not to perform the scenario, and may be output to each space through a smart thermostat 590 described later.

A plurality of spaces may be partitioned in one building, and a smart thermostat 590 may be provided for each space when a building user separately controls each partition. For example, an apartment, an office building, or the like, which requires separate air conditioning and lighting for each household, may be an example.

The smart thermostat 590 will now be described in more detail with reference to Figures 2 and 3.

The smart thermostat 590 according to the present invention includes a housing 599 that is embedded in the wall surface at the time of installation and a display portion 591 and a rotation adjusting portion 595 that can be operated by the user. That is, when the smart thermostat 590 is installed, only the display portion 591 and the rotation adjusting portion 595 will appear outside the wall.

Here, the display unit 591 not only functions to output information but also has a pushing part 592 so that the display unit 591 itself can be pushed inward, thereby generating an electrical signal by performing a kind of button function.

The rotation regulating unit 595 is formed along the outer circumferential surface of the display unit 591 and can be rotated like the jog shuttle to generate an electrical signal.

The user can operate the smart thermostat 590 by combining the electric signals by operating the pushing part 592 and the rotation adjusting part 595. As a result, the user can operate the smart thermostat 590, The lighting unit 530 and the lighting equipment 540 are operated.

3, the smart thermostat 590 further includes a chamber sensor 596 and a temperature and humidity sensor 597. [

The occupancy sensor 596 senses whether there is occupant in the space. As will be described later, when the building is operated according to a scenario in which power must be reduced, the lighting equipment 540 in the space where the occupant sensor 596 has been confirmed to be absent may be disabled.

The temperature and humidity sensor 597 senses the temperature and humidity of the space. That is, the temperature and humidity sensor 515 is different from the temperature / humidity sensor 515 that senses the temperature and humidity of the building exterior air.

The temperature and humidity sensed in the space may be output through the microcomputer 598 and the display unit 591. [ In addition, the temperature and humidity of the outdoor air of the building sensed through the temperature / humidity sensor 515 can also be output through the display unit 591. Whether or not to output one can be manipulated by the rotation regulating unit 595.

As described above, the user controls the air conditioning equipment 530 and the lighting equipment 540 by operating the pushing part 592 and the rotation adjusting part 595. [

The user may control the operating time and the holding time of the air conditioning equipment 530 (for example, operating the air conditioner 2 hours), or may determine the target temperature (for example, 23 degrees Celsius).

However, as will be described later, when a building is operated according to a specific scenario in which power must be reduced, the upper and lower limit values of the temperature as well as the operation time and maintenance time that can be controlled by the user are limited.

2. Explanation of building real-time demand management and energy reduction method

(1) Predicted power profile generation method

The predicted power profile of a particular building is generated by the energy demand management operations server 100 in a predetermined manner using past weather data and historical power usage data.

Specifically, it is as follows.

First, the energy demand management operation server 100 checks past weather data including temperature and humidity from the weather database 600 by date.

Next, the energy demand management operation server 100 confirms past power use data by date from the watt hour meter 400 for an automatic meter reading.

The energy demand management operating server 100 can calculate the regression equation of the degree of power use according to temperature and humidity by mapping the past power usage data and the past weather data.

Now, the energy demand management operation server 100 generates the predicted power profile of the building, which is a day unit, by substituting the current temperature and humidity obtained by the temperature / humidity sensor 515 into the regression equation.

The generated predicted power profile may be as shown in FIG. Here, the X axis will be a total of 24 hours in time, and the Y axis means power.

(2) Application of Scenario

Next, the method according to the present invention will be described with reference to the example shown in Figs. 4 and 5-8.

First, the energy demand management operation server 100 generates a predicted power profile in the manner described above (S10). In other words, the predicted power profile generated in step S10 relates to the amount of power that the building is expected to consume during the day on the day using the current temperature and humidity. It can be confirmed as the power consumption for one day on the axis of time as shown in FIG.

Meanwhile, the current power consumed by the building 500 by the measuring instrument 300 of the building 500 is continuously being checked.

Regardless of the current power, the time at which the predicted power profile reaches 70% of the predicted target power can be predicted. The first scenario is executed so as not to exceed 70% of the target power at the time point ("A") before the predetermined time t1 before the predicted power profile exceeds 70% (S100).

Here, the first scenario is a mode for restricting the operation of the facility 520, 530, 540, 550 as a kind of power saving mode. For example, when the operation time and the maintenance time of the air conditioner 530 of the building 500 are set to be reduced by 5% in comparison with the past average value and the upper temperature limit set in the air conditioner 530 of the building 500 is 5 % And the lower limit value is set to increase by 5%, and the enthalpy target value in the enthalpy operation of the building 500 is set to decrease by 5%.

For example, if the user is able to set the air conditioner 530 to operate up to 100 minutes continuous operation when the user uses the smart thermostat 590 in the summer, in the first scenario It will be limited to 95 minutes.

Also, in the first scenario, the operation of the lighting equipment 540 corresponding to the space in which the room sensor provided in the smart thermostat 590 is confirmed as being no occupant may be operated.

Thus, when the building is operated in the first scenario, the current power may be lowered accordingly.

6 and 7), the predetermined first power upper limit and the first lower power limit are predetermined as the upper and lower values of 70% of the target power for determining whether to perform the first scenario, (S110), the execution of the first scenario is stopped at the point of time (A '' ') and the operation returns to the normal operation (S120) ).

Of course, after that (i.e., after "A '"), if the current power measured by the meter 300 is greater than a predetermined first power lower limit, the first scenario will again be performed.

If the power measured continuously by the meter 300 is not lower than the first power lower limit (S110), it is checked whether the first power upper limit is exceeded (S130).

If the first power ceiling is not exceeded, the first scenario continues.

If the first power upper limit is exceeded, a second scenario having a higher energy reduction effect than the first scenario should be performed (S200).

The time when the second scenario is performed can be determined at a time when the predicted power profile reaches 80% of the predicted target power irrespective of the current power, "B") and at the present time ("B"). In the embodiment shown in Fig. 7, the second scenario is performed at the "B"

The second scenario is a kind of power saving mode like the first scenario, but the power saving level is higher than the first scenario. For example, when the operation time and the holding time of the air conditioner 530 of the building 500 are set to be reduced by 10% in comparison with the past average value, and the upper temperature limit set in the air conditioner 530 of the building 500 is 10 And the lower limit value is set to increase by 10%, and the enthalpy target value in the enthalpy operation of the building 500 is set to be decreased by 10%.

For example, in the second scenario, when the user attempts to operate one of the air conditioning equipment 530 using the smart thermostat 590 in the summer, It will be limited to 90 minutes.

Also, as in the first scenario, in the second scenario, the room sensor provided in the smart thermostat 590 may be operated to stop the operation of the lighting fixture 540 corresponding to the space identified as no occupant .

On the other hand, like the first scenario, the building can be operated in the second scenario and the power can be lowered.

Therefore, similarly to the first scenario, if the predetermined second power upper limit and the second power lower limit value are predetermined as the upper and lower values of 80% of the target power for determining whether to perform the second scenario (the second box in FIG. 8) If the power that is continuously measured by the power control unit 300 is maintained at the second power lower limit or lower for a certain period of time (S210), the execution of the second scenario is stopped and the first scenario is performed. That is, it returns to the step before step S110 in which the first scenario is executed.

On the contrary, if the power measured continuously by the meter 300 is not lower than the second power lower limit (S210), it is checked whether the upper limit of the second power is exceeded (S230).

If the second power upper limit has not been exceeded, the second scenario continues.

If the second power upper limit is exceeded, a third scenario with a higher energy reduction effect than the second scenario should be performed (S300).

The time when the third scenario is executed is that the time at which the predicted power profile reaches 90% of the predicted target power irrespective of the current power can be confirmed, and the time point before the predetermined time t3 "C") and at the present time ("C"). In the embodiment shown in Fig. 8, the third scenario is performed at a point "C "

The third scenario is a kind of power saving mode like the first and second scenarios, but the degree is higher than the second scenario. For example, when the operation time and the holding time of the air conditioner 530 of the building 500 are set to be reduced by 15% in comparison with the past average value, and the upper temperature limit set in the air conditioner 530 of the building 500 is 15 % And the lower limit value is set to increase by 15%, and the enthalpy target value in the enthalpy operation of the building 500 is set to decrease by 15%.

For example, in the case where the user can set the air conditioner 530 to operate up to 100 minutes continuous operation by using the smart thermostat 590 in the summer, in the third scenario It will be limited to 85 minutes.

On the other hand, in another embodiment, the third scenario may be a stronger restriction because it is the last scenario just before the target power. That is, the user may set not to control the air conditioning equipment 530 through the smart thermostat 590 at all, not by 15%.

Also, as in the first and second scenarios, in the third scenario, the room sensor provided in the smart thermostat 590 is operated to stop the operation of the lighting fixture 540 corresponding to the space in which it is determined that there is no occupant It is possible.

On the other hand, as in the first and second scenarios, the building can be operated in the third scenario and the current power can be lowered.

Accordingly, it is determined whether the current power is 90% or less of the target power (S310). If the current power is equal to or less than 90% of the target power, the third scenario is stopped and the second scenario is performed (S320).

If not, the third scenario should be performed continuously.

In the example shown in Fig. 8, it is confirmed that the third scenario has been performed at the time point of " C " and has been lowered to 90% or less of the target power at the time of "D & The second scenario will be performed.

If the current power measured by the meter 300 is further lowered to the second power lower limit or lower during the second scenario (S210), the second scenario is stopped and the first scenario will be performed (S220) If the current power is further lowered to be lower than the first power lower limit (S110), the first scenario is stopped and normal operation is performed (S120).

(3) Other

As described above, the user of the present invention can conveniently modify the target power and the control method of each scenario through the energy demand management client server 200. Although the degree of control has been changed in units of 5% in each scenario in the above-described embodiment, the user of the present invention can easily change the degree of control.

In the above-described embodiment, the scenarios of three stages are set as scenario triggers for 70%, 80%, and 90% of the target power, respectively. However, the user of the present invention sets the trigger percentage through the energy demand management client server 200 Of course, the number of steps in a scenario can be easily modified. It should be noted that in the following claims, 70%, 80% and 90% are expressed as a predetermined percentage, another predetermined percentage, another predetermined percentage, and the like.

Although the air conditioning equipment and the lighting equipment are exemplarily described in the above embodiments, it is preferable to control the air conditioning equipment and the lighting equipment when there are other facilities that have a higher power consumption than the air conditioning or the lighting, such as a factory building.

In addition, although the specific shape of the smart thermostat 590 has been exemplarily described in the above embodiments, the present invention can be implemented even when any thermostat or terminal is applied.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention as defined in the appended claims. It will be understood that the present invention can be changed.

100: Energy demand management operation server
200: Energy Demand Management Client Server
300: Meter
400: Watt hour meter for remote meter reading
500: Building
510: Building automatic control system
515: Temperature and humidity sensor
520: Hardware
530: Air Conditioning Equipment
540: Lighting equipment
550: Other facilities
590: Smart Thermostat
591:
592:
595:
596: Compensation sensor
597: Temperature and humidity sensor
598: Microcomputer
599: Housing
600: weather database

Claims (13)

(a) The energy demand management operation server 100 uses the past meteorological data confirmed in the meteorological database 600 of the meteorological office and the past meteorological data confirmed in the meteorological meter 400 for remote metering Generating a predicted power profile of the building;
(b) In the energy demand management client server 200, a target power of a building is set;
(c) a building automation system (BAS) 510 receives a first scenario (t1) before a predetermined first time (t1) from when the predicted power profile exceeds a predetermined percentage of the target power Performing a building operation; And
(d) if the current power measured by the meter (300) exceeds a predetermined first power ceiling, the building automatic control system (510) Wherein the second scenario is performed before the second time (t2) or at an earlier time than the current time to operate the building,
Building real - time demand management and energy reduction methods.
The method according to claim 1,
After the step (d)
(e) if the current power exceeds a predetermined second power ceiling, the building automatic control system (510) is configured to determine whether the target power is greater than a predetermined third percentage Or the third scenario is performed at an earlier time than the current time to operate the building,
Building real - time demand management and energy reduction methods.
The method according to claim 1,
After the step (c)
(c1) if the current power is below a predetermined first power lower limit, the building automatic control system (510) stops performing the first scenario.
Building real - time demand management and energy reduction methods.
The method of claim 3,
After the step (c1)
(c2) when the current power is greater than a predetermined first power lower limit, the building automatic control system (510) performs the first scenario and operates the building; And
(c3) returning to the previous step (c1).
Building real - time demand management and energy reduction methods.
3. The method of claim 2,
After step (d), before step (e)
(d1) when the current power is equal to or lower than a predetermined second power lower limit, the building automatic control system (510) stops performing the second scenario and operates the building by performing the first scenario; And
(d2) returning to step (d)
Building real - time demand management and energy reduction methods.
3. The method of claim 2,
After the step (e)
(e1) when the current power is less than or equal to the another predetermined percentage of the target power, the building automatic control system (510) stops performing the third scenario and operates the building by performing the second scenario ; And
(e2) returning prior to step (e). < RTI ID = 0.0 >
Building real - time demand management and energy reduction methods.
3. The method of claim 2,
The reason why the first scenario is executed and the building is operated is that the operation time and the maintenance time of the air conditioner 530 of the building are reduced by 5% compared with the past average value and the upper temperature limit value set in the air conditioner 530 of the building The building is operated so that the enthalpy target value is reduced by 5% when the enthalpy of the building is reduced by 5%, the lower limit is increased by 5%, and
The reason why the second scenario is executed and the building is operated is that the operation time and the maintenance time of the air conditioner 530 of the building are reduced by 10% in comparison with the past average value and the upper temperature limit value set in the air conditioner 530 of the building 10% reduction, 10% increase in the lower limit, 10% reduction of the enthalpy target value in the enthalpy operation of the building,
Building real - time demand management and energy reduction methods.
8. The method of claim 7,
The execution of the third scenario to operate the building means that the building is operated such that the occupant can not control the air conditioning equipment 530 of the building.
Building real - time demand management and energy reduction methods.
9. The method of claim 8,
When the first, second, and third scenarios are performed to operate the building, the building is operated so that the lighting facility 540 in the space sensed by the occupant sensor is not occupied,
Building real - time demand management and energy reduction methods.
The method according to claim 1,
The predetermined method of generating a predicted power profile of a building,
(a1) the energy demand management operation server (100) checking historical weather data including temperature and humidity from the weather database (600) by date;
(a2) the energy demand management operation server 100 confirms past electricity usage data by date from the watt hour meter 400 for each day of the week;
(a3) computing the regression equation of power use according to temperature and humidity by mapping the past power usage data and the past weather data to the energy demand management operation server 100; And
(a4) generating, by the energy demand management operation server (100), a predicted power profile of the building in units of days by substituting the temperature and humidity acquired by the temperature and humidity sensor (515)
Building real - time demand management and energy reduction methods.
11. A system for performing real-time demand management and energy reduction of a building according to any one of claims 1 to 10,
And interfere with the building automatic control system 510 of a plurality of buildings through a communication server. The past power use data is checked through the watt hour meter 400 for remote meter reading provided in a specific building, The energy demand management operation server 100 capable of generating a predicted power profile of a building by a predetermined method using the past past power use data and past weather data;
The energy demand management client server 200 capable of modifying a scenario in which a building is installed and a target power is set in a specific building;
A meter 300 for confirming current power;
A watt hour meter (400) for checking the past power usage data of a specific building;
The building automatic control system 510 provided in a specific building;
A temperature and humidity sensor 515 for sensing the temperature and humidity of the building exterior to generate a predicted power profile of the building; And
(520, 530, 540, 550) controlled by the building automatic control system (510).
Real time demand management and energy reduction system.
12. The method of claim 11,
The system further includes a smart thermostat 590 provided for each space in a particular building,
The smart thermostat 590 controls the air conditioning equipment 530 and the lighting equipment 540 for the space in which the smart thermostat 590 is located,
Real time demand management and energy reduction system.
13. The method of claim 12,
The smart thermostat (590)
A display unit 591;
A pressing part 592 for generating an electric signal by pressing the display part 591;
A rotation adjusting unit 595 formed along the outer circumference of the display unit 591 and generating an electrical signal by rotation; And
Chamber sensor 596,
The smart thermostat 590 controls the air conditioning equipment 530 and the lighting equipment 540 for the space where the smart thermostat 590 is located by the pushing part 592 and the rotation adjusting part 595 That can be,
Real time demand management and energy reduction system.

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