KR101934098B1 - Coordinating Energy Management Method in Mixed-Use building - Google Patents

Abstract

According to another aspect of the present invention, there is provided a method of managing energy in a complex building, the method comprising: requesting information on energy management for each building; A temperature information / parameter receiving step of receiving temperature information associated with an optimal temperature for each building and a parameter associated with the cost function from each building; And a parameter update / transmission step of updating the parameter so as to minimize the sum of the cost according to the optimum temperature and the parameter update / transmission step to reduce the energy consumption in the building, The temperature can be adjusted so that you can feel it.

Description

[0001] The present invention relates to a method for managing energy in a complex building,

The present invention relates to a method of managing energy in a complex building, and more particularly, to a method and apparatus for controlling temperature in a residential complex. More particularly, to a method and apparatus for controlling temperature in heating, ventilation, air conditioning (HVAC) systems and electronic devices in residential and commercial buildings.

Recently, rapid development of advanced technology including IT has accelerated the automation and intelligence of energy facilities in buildings, such as securing pleasant environment and securing necessary functions for business activities and business. In this regard, various systems such as building automation system (BAS), intelligent building system (IBS), and building energy management system (BEMS), which utilize IT for building management, .

In relation to these systems, especially the Building Energy Management System (BEMS), energy consumption is minimized through monitoring and intelligent control of detailed energy usage of various energy devices such as office equipment, information equipment, . In addition, it is a technology that guarantees a pleasant and economical environment based on environmental condition information and environmental condition detection.

However, since most of the building energy management system controls the indoor environment uniformly using only raw sensing data such as temperature, humidity, illumination, dust concentration, etc., it provides a comfortable indoor environment according to the user's sensory information There is a limit.

Also, considering multiple buildings such as a mixed-use building, it is very complicated to control the temperature and the humidity to reduce the energy consumption in the building while allowing the user to feel comfortable. There is a problem.

Particularly, in a plurality of buildings, the user feels comfortable above a certain level, and at the same time, the energy consumption of the building is controlled only by the local control device disposed in each building or the main control device managing the entire building There is a problem that it can not be done.

Accordingly, an object of the present invention is to control the temperature so that a user can feel comfort while reducing energy consumption in a building.

Another object of the present invention is to reduce energy consumption in a building by cooperating with a local control device disposed in each building or a main control device managing the entire building.

According to an aspect of the present invention, there is provided an energy management method for a complex building, the method comprising: requesting information about energy management to each building; A temperature information / parameter receiving step of receiving temperature information associated with an optimal temperature for each building and a parameter associated with the cost function from each building; And a parameter update / transmission step of updating the parameter so as to minimize the sum of the cost according to the optimum temperature and the parameter update / transmission step to reduce the energy consumption in the building, The temperature can be adjusted so that you can feel it.

According to one embodiment, in the step of receiving the temperature information / parameter, a sum of a first value associated with HVAC energy consumption and a user discomfort cost and a second value associated with the parameter is at least The optimum temperature can be determined.

According to one embodiment, the difference between the first parameter (? ^T ), which is a parameter received from each building, and the second parameter (? ^{T + 1} ), which is the updated parameter, And a parameter difference comparison step of determining whether or not there is a difference.

According to one embodiment, if the difference between the first and second parameters exceeds the reference value, the temperature information / parameter reception is repeated until the difference between the first and second parameters is below the reference value And repeating the parameter update / transmission step.

According to another aspect of the present invention, there is provided a main controller for energy management in a complex building, comprising: an interface unit for requesting energy management information from each building; And a parameter associated with the temperature function associated with the optimal temperature for each building and a parameter associated with the cost function, and updating the parameter such that the sum of costs according to the optimal temperature is minimized And a control unit for controlling the interface unit to transmit to each building.

According to one embodiment, the optimal temperature is selected such that the sum of a first value associated with HVAC energy consumption and a user discomfort cost and a second value associated with the parameter is at a minimum, And may be determined from the building and received from the respective building through the interface unit to the control unit.

According to one embodiment, the control unit determines whether the difference between the first parameter (? ^T ), which is a parameter received from each building, and the second parameter (? ^{T + 1} ) (?) or less.

According to an embodiment, when the difference between the first and second parameters exceeds the reference value, the controller changes the second and third parameters until the difference between the first and second parameters becomes equal to or less than the reference value, An optimal temperature can be received from each building. At this time, the second parameter is updated so that the sum of the cost based on the second optimum temperature is minimized, and transmission is repeated to each building. Further, the second optimum temperature may be determined in each building using the second parameter (? ^{T + 1} ) which is the updated parameter.

According to one embodiment, the cost function comprises:

로 결정되고,

는 각각 i번째 건물에서의 최적 온도, k번째 시간 인덱스와 i번째 건물에서의 최적 온도, 상기 HVAC 에너지 소모량, 상기 사용자 불편 비용이고, α는 에너지를 가격으로 변환하기 위한 변환 인자이고, R은 에너지 수요 응답 (EDR: energy demand response)에 따른 에너지량이고, λ는 상기 매개 변수이고, N은 건물의 개수이다.

Lt; / RTI >

Is a conversion factor for converting the energy into price, R is the energy of the energy in the i-th building, the optimal temperature in the i-th building, the k-th time index and the optimal temperature in the i-th building, the HVAC energy consumption, Is an energy amount according to an energy demand response (EDR), λ is the parameter, and N is the number of buildings.

According to another aspect of the present invention, there is provided a building controller for energy management in a complex building, the building controller comprising: an interface for receiving information on energy management from a main controller; And a parameter related to a temperature function associated with an optimum temperature for the building and a parameter associated with the cost function and transmits the calculated parameter to the main control device, and updates a parameter updated so as to minimize a sum of costs according to the optimum temperature, And a control unit for controlling the interface unit to receive from the control device.

According to one embodiment, the control unit is configured to adjust the optimal temperature and the second temperature so that the sum of a first value associated with HVAC energy consumption and a user discomfort cost and a second value associated with the parameter is minimized, The parameter can be determined.

According to one embodiment,

Determining the first value (C ⁱ (T ⁱ⁾⁾ and said second value of the optimum temperature (T ⁱ⁾ and the parameter so as to provide a minimum sum of (λ ^t ΔE ⁱ (T ⁱ⁾⁾ variable (λ ^t) and,

이고,

ego,

는 각각 i번째 건물에서의 최적 온도, k번째 시간 인덱스와 i번째 건물에서의 최적 온도, 상기 HVAC 에너지 소모량, 상기 사용자 불편 비용이고, α는 에너지를 가격으로 변환하기 위한 변환 인자이고, λ^t는 시각 t에서의 상기 매개 변수이다. 이때, 상기 제2값은 상기 HVAC 에너지 소모량(Eⁱ _hvac)을 가격으로 변환한 값(αEⁱ _hvac)과 상기 사용자 불편 비용(Cⁱ _user(Tⁱ))의 합에 상기 매개 변수(λ^t)를 곱한 값으로 표현된다.

Is a conversion factor for converting the energy into price, and λ ^t is a conversion factor for converting the energy into price, Is the above parameter at time t. At this time, the second value of the parameter to the sum of the HVAC energy consumption (E ⁱ _hvac) a value converted to a value (αE ⁱ _hvac) and the user discomfort cost _{^{(C i user (T i)}} ) variable (λ ^t ) ≪ / RTI >

According to one embodiment, when the difference between the first parameter (? ^T ), which is the parameter, and the second parameter (? ^{T + 1} ), which is the updated parameter, exceeds the reference value? Determining a second optimal temperature using the updated parameter, the second parameter (λ ^{t + 1} ), until the difference between the first and second parameters is less than or equal to the reference value, And transmits the determined second optimal temperature to the main control device through the interface.

According to another aspect of the present invention, there is provided a method of managing energy in a complex building, comprising: receiving information on energy management from a main controller; A temperature information / parameter calculation / transmission step of calculating temperature information associated with an optimal temperature for the building and parameters associated with the cost function and transmitting the calculated temperature information to the building control device; And a parameter reception step of receiving a parameter updated from the main control device so that the sum of the cost based on the optimum temperature is minimized.

The energy management method in the complex building according to the present invention has an advantage that the temperature can be controlled so that the user can feel comfort while reducing the energy consumption in the building using the temperature information and the related parameters.

Further, in the energy management method in a complex building according to the present invention, a local control device disposed in each building or a main control device managing the entire building cooperates with each other, So that the energy consumption in the building can be reduced.

1 shows a building energy management system including a main control device and a building control device according to the present invention.
2 shows a block diagram showing the detailed components of a main control device and a building control device according to the present invention.
3 shows a conceptual diagram of an optimum temperature and parameter selection and update process according to the present invention.
FIG. 4 shows a flowchart of an energy management method in a complex building performed in a main control device according to the present invention.
FIG. 5 shows a flowchart of an energy management method in a complex building performed in a building control device according to the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The above and other features and advantages of the present invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings, It will be possible. The present invention is capable of various modifications and various forms, and specific embodiments are illustrated in the drawings and described in detail in the text. It is to be understood, however, that the invention is not intended to be limited to the particular forms disclosed, but on the contrary, is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.

Like reference numerals are used for similar elements in describing each drawing.

The terms first, second, etc. may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another.

For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. The term "and / or" includes any combination of a plurality of related listed items or any of a plurality of related listed items.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Should not.

The suffix "module "," block ", and "part" for components used in the following description are given or mixed in consideration of ease of specification only and do not have their own distinct meanings or roles .

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

Hereinafter, a method for managing energy in a complex building according to the present invention and a main controller and a building controller for the energy management method will be described.

First, the energy management method in the complex building according to the present invention has the following features.

1. Considering multiple buildings, it would be very complicated to reduce the energy consumption in the building. Therefore, it formsulate the problem of coordination energy management (CEM) that controls temperature in all buildings. When receiving an energy demand response (EDR), the control device should make appropriate decisions to reduce the energy consumption of certain systems and buildings.

2. Using the optimization framework, a CEM problem can be constructed and solved by a decomposition-based approach. Here, each system can individually calculate the optimal temperature for itself and then broadcast it to the control device.

This approach can be applied to the temperature control system of buildings, and many block buildings can be adjusted in this manner. Therefore, according to the present invention, it is possible to simultaneously control the temperature of the heating, ventilation, air conditioning (HVAC) system, and electronic equipment.

1 shows a building energy management system including a main control device and a building control device according to the present invention. As shown in FIG. 1, a building energy management system 1000 includes a main control device 100 and a plurality of building control devices 200. Differential technical features related to the building energy management system according to the present invention are as follows.

1. There is a control system that can control the temperature of many block buildings, including HVAC and user comfort costs. This model is assumed to be implemented on a system that is already operating by the system of the sensor network in all the buildings monitoring the temperature. In time slot T, an energy demand response signal is generated which is required to reduce the energy amount R. [ The main controller 100 should control the temperature of the HVAC systems of all the buildings. Here, the system ensures that the total cost and user comfort cost of the HVAC are minimized and at least the energy amount R is reduced.

2. The user convenience expense is an abstract concept and conforms to the taste of the individual but may be entered in a pre-universal value in the main control device 100 or in the building controller 200, have.

3. In each building, the control device (building control device) 200 of the i-th block building will itself calculate the best temperature Ti using a given price from the main control device 100 . After that, it transfers / broadcasts its own temperature value to the main control device. In the main control device 100, a price-update (dual update) will be performed and then forwarded / broadcasted back to each building. This iteration will end when the total cost is convergent.

4. The present invention proposes a distributed approach that efficiently controls the temperature of the entire building where the main control device 100 does not need to receive all the information from each building as a centralized approach.

The system model of the building energy management system according to the present invention as shown in FIG. 1 will be described in detail as follows.

<System model: System model>

There is a critical tradeoff between the reduction of building energy and user comfort satisfaction, which dominates the performance of the indoor environment, despite the fact that reducing building energy is an object of much interest. Generally, building energy consumption is generated by (a) HVAC systems, and (b) lightening and electrical equipment, for example, each of which can account for 43% and 30% of building energy use.

In the present invention, the influence of the HVAC system on user convenience is mainly considered. The HVAC system controls the temperature and air volume within the user-friendly area. In an HVAC, an air handler unit is a major component that mixes outside air and air returned from a building to produce mixed air, and the temperature of the mixed air is denoted by Tma. This mixed air is then cooled or heated to a specific supply air temperature and re-distributed to each building area using a duct or fan. The volume of the supply air is indicated by V and is used to adjust the zone air temperature to the indoor supply temperature indicated by T and provides air to ensure user comfort. The energy consumption of the HVAC system is the sum of the fan distributed energy, E _fan, and the chilled water cooling energy, as follows:

이고, c1 및 c2는 환풍 팬(ventilation fan)들의 효율 및 냉각된 물 제조 플랜트의 계수 성능(coefficient performance)에 의한 상수이다. E_fan and E_chill은 모두 요구되는 공급 공기 부피 V에 따르고, 아래의 수식과 같이 계산된다. here,

C1 and c2 are constants due to the efficiency of the ventilation fans and the coefficient performance of the cooled water production plant. E _fan and E _chill all depend on the required supply air volume V and are calculated as:

Where Qz is the total thermal heat load of the region, and [Delta] T is the desired temperature change over time in the current zone temperature (denoted as Tz) along the zone volume Vz.

Despite user convenience as an abstract concept and personal preference, a general model based on room temperature T controlled by an HVAC system is considered to understand the universal meaning of user convenience.

Specifically, during an occupied period of time during which the user is occasionally present in the building, for example, k is from 7:00 AM to 12:00 AM and the supply air temperature is within a comfortable range, e.g., during winter [21; 25] C, and during the summer [23; 27] &lt; 0 &gt; C. On the other hand, during an unoccupied period without a user, for example, k is from 12:00 AM to 7:00 AM, and the supply air temperature is in a broader range, such as during winter [10; 40] &lt; 0 &gt; C.

Thus, if the user indicates a reference room temperature at time k, e.g., 1:00 PM at 25:00, T _i ^k , the user discomfort is identified as "cost" .

Here, w _user is a weight (i.e., $ / degree ² ) indicating the relationship with the price corresponding to the temperature. This cost model shows that user discomfort is quadratically increased with respect to the deviation of the comfortable T _k and the controlled T. a) select a quadratic function for user inconvenience, such as modeling cost function in control, signal processing, communication network, etc., and b) provide analysis tractability.

Meanwhile, the plurality of the building control devices 200 shown may include first to third building control devices (or first to third block buildings) 210 to 230, and each of the plurality of buildings There can be more than one. The number of the plurality of buildings is not limited to the number shown, but may be variously changed depending on the application.

2 shows a block diagram showing the detailed components of a main control device and a building control device according to the present invention. 2, the main control device 100 includes an interface unit 101 and a control unit 102. [ Also, the building control device 200 includes an interface unit 201 and a control unit 202. Here, the interface units 101 and 201 are configured to exchange signals including information and data with each other, and include a wired or wireless interface. Specifically, the interface units 101 and 201 may be a wired communication unit or a wireless communication unit capable of transmitting or receiving a wired or wireless signal. In addition, the interface units 101 and 201 may be input / output units or (touchable) screens for receiving input from a user or displaying an output for displaying a result to a user. Although not shown, the main control device 100 and the building control device 200 may further include a memory for storing necessary information.

1 and 2, an operation of a main controller 100 for energy management in a complex building will be described below.

The interface unit 101 requests energy management information from each building (i.e., the first to third building control devices 210 to 230). In connection with requesting such information, the interface unit 101 may be input through the interface unit 101 from the user (or the manager), or may be repeatedly performed in a predetermined period or event driven manner. For example, as shown in FIG. 1, as the interface unit 101 receives an energy demand response (EDR) request, the interface unit 101 transmits, to each building (i.e., The third building control devices 210 to 230) may request information on energy management.

The control unit 102 stores the temperature information associated with the optimal temperature for each building (i.e., the first to third building control devices 210 to 230) and the parameters associated with the cost function to the building control device 200 From the interface unit 201. Here, the parameter may be referred to as a Lagrangian variable using a Lagrangian function.

In addition, the controller 102 updates the parameter to minimize the sum of the cost based on the optimum temperature, so that each building (i.e., the first to third building control devices 210 to 230) Lt; / RTI &gt;

Here, the optimal temperature may be determined such that a sum of a first value associated with HVAC energy consumption and a user discomfort cost and a second value associated with the parameter is at a minimum. The optimum temperature is determined from the control unit 202 of the building control device 200 and transmitted to the control unit 102 through the interface unit 101 through the interface unit 201 of the building control device 200 .

Further, the control unit 102 determines whether the difference between the first parameter? ^T , which is a parameter received from each building, and the second parameter? ^{T + 1} , which is the updated parameter, epsilon] or less. Accordingly, when the difference between the first parameter and the second parameter exceeds the reference value, the control unit 102 determines whether the difference between the first parameter and the second parameter is less than the reference value, And receives the optimum temperature from each of the buildings (i.e., the first to third building control devices 210 to 230). The controller 102 updates the second parameter to minimize the sum of the cost based on the second optimum temperature and the first parameter to the second building, (210 to 230)).

Meanwhile, a method of minimizing the above-described cost function will be described in detail as follows.

For N buildings, formulating the problem of coordinated energy management (CEM) is as follows. In this regard, a method of minimizing the above-described cost function in the case of specifically controlling the temperature can be achieved by the following equation. The method of minimizing this cost function can be referred to as a problem formulation for CEM.

<Problem formulation: Problem formulation>

는 각각 i번째 건물에서의 최적 온도, k번째 시간 인덱스와 i번째 건물에서의 최적 온도, 상기 HVAC 에너지 소모량, 상기 사용자 불편 비용이다. 한편,

는 빌딩 i의 제어 온도(control temperature), 임계 온도(threshold temperature), HVAC 에너지(HVAC energy), 사용자 불편 비용(user discomfort cost)을 지칭할 수 있다.here,

The optimal temperature in the i-th building, the k-th time index, the optimal temperature in the i-th building, the HVAC energy consumption, and the user inconvenience cost. Meanwhile,

May refer to the control temperature, threshold temperature, HVAC energy, and user discomfort cost of building i.

On the other hand,? Is a conversion factor for converting energy into price, R is energy amount according to an energy demand response (EDR),? Is the parameter, and N is the number of buildings.

Next, the operation of the building controller 200 for energy management in the complex building will be described with reference to FIGS. 1 and 2. FIG.

The interface unit 201 receives information on energy management from a main controller.

The control unit 202 computes the temperature information associated with the optimal temperature for the building and the parameters associated with the cost function and transmits the calculated parameters to the main control device 100.

Also, the controller 202 controls the interface unit 201 to receive a parameter updated from the main control device 100 so that the sum of the cost based on the optimum temperature is minimized.

In addition, the controller 202 may be configured to determine the optimal temperature and the parameter (s) so that the sum of the first value associated with the HVAC energy consumption and the user discomfort cost and the second value associated with the parameter is minimized, .

With regard to determining the optimal temperature and the parameters described above, it will be specifically described below, which can be referred to as a decomposition based for CEM.

< CEM Based  Decomposition based for CEM )>

In connection with decomposition based for CEM, FIG. 3 shows a conceptual diagram of the optimum temperature and parameter selection and updating process according to the present invention. This CEM-based decomposition method is intended to solve the cost minimization problem in a distributed form, and a dual decomposition method can be used. The above-described CEM problem can be configured as follows using an augmented partial Lagrangian function.

2 and 3, the controller 202 calculates the sum of the first value C ⁱ (T ⁱ ) and the second value λ ^t ΔE ⁱ (T ⁱ ) The optimum temperature T ⁱ and the parameter λ ^t are determined as follows so that the value of the following equation is minimized. Here, the parameter (? ^T ) corresponds to the Lagrangian variable.

이다. At this time,

to be.

는 전술된 바와 같이 각각 i번째 건물에서의 최적 온도, k번째 시간 인덱스와 i번째 건물에서의 최적 온도, 상기 HVAC 에너지 소모량, 상기 사용자 불편 비용이다. 또한,

는 빌딩 i의 제어 온도(control temperature), 임계 온도(threshold temperature), HVAC 에너지(HVAC energy), 사용자 불편 비용(user discomfort cost)를 지칭할 수 있다.Meanwhile,

The optimal temperature in the i-th building, the k-th time index, the optimal temperature in the i-th building, the HVAC energy consumption, and the user inconvenience cost, respectively, as described above. Also,

May refer to the control temperature, threshold temperature, HVAC energy, and user discomfort cost of building i.

On the other hand,? Is a conversion factor for converting energy into price, and? ^T is the above parameter at time t. Also, the second value of the parameter to the sum of the HVAC energy consumption (E ⁱ _hvac) a value converted to a value (αE ⁱ _hvac) and the user discomfort cost _{^{(C i user (T i)}} ) variable (λ ^t ) &Lt; / RTI &gt;

As shown in FIG. 3, when the main control device 100 receives a request response (Demand Response) related to the energy amount R, the following procedure is started. According to the disclosed procedure, the building control device 200 transmits the optimum temperature T ⁱ to the main controller 100. Next, the main control device 100 updates the second parameter? ^{T + 1} and transmits it to the building control device 200. Building control unit 200 is changed so that the value of the expression of the cost function that includes the above-optimum temperature (T ⁱ⁾ and the parameter (λ ^t) described above solve the sub-problem (solve), and to this, at least Thereby generating an optimum temperature. The update process between the optimum temperature and the parameters is as follows. Here, the first parameter? ^T and the second parameter? ^{T + 1} correspond to Lagrange variables.

That is, if the difference between the first parameter? ^T and the second parameter? ^{T + 1, which} is the parameter, exceeds the reference value? The second optimal temperature is determined using the second parameter (? ^{T + 1} ), which is the updated parameter, until the difference between the first and second parameters is less than or equal to the reference value. The control unit 202 controls the main controller 100 to transmit the determined second optimum temperature to the main controller 100 through the interface unit 201 until the difference between the first and second parameters becomes equal to or less than the reference value. .

In response to the operation of the control unit 202, the control unit 102 of the main control device 100 may perform a dual-update operation as follows.

That is, the control unit 102 sums the difference of the amount of energy consumption of the HVAC (the difference between the optimum temperature (control temperature) at the previous time and the current time) and the energy amount according to the energy demand response (EDR) for each building. Further, the control unit 102 can determine the second parameter (? ^{T + 1} ) at time t + 1 according to the following equation based on the difference in the summed energy amount.

 The main control device and the building control device for energy management in the complex building according to the present invention have been described above. Hereinafter, a method for energy management of a main control device and a building control device in a complex building according to the present invention will be described.

In this regard, FIG. 4 shows a flowchart of an energy management method in a complex building performed in the main control device according to the present invention. In this regard, referring to FIG. 2, the energy management method may be performed by the control unit 102.

4, the energy management method includes an information request step S310, a temperature information / parameter reception step S320, a parameter update / transmission step S330, and a parameter difference comparison step S340. .

The information request step (S310) requests information on energy management to each building.

The temperature information / parameter receiving step (S320) receives from each building the temperature information associated with the optimal temperature for each building and the parameters associated with the cost function. Meanwhile, in the temperature information / parameter receiving step (S320), a sum of a first value associated with HVAC energy consumption and a user discomfort cost and a second value associated with the parameter is minimum So that the optimum temperature can be determined.

The parameter update / transmission step (S330) updates the parameter so as to minimize the sum of the cost according to the optimum temperature and transmits the updated parameter to each building.

The parameter difference comparison step S340 may include comparing the difference between the first parameter? ^T , which is a parameter received from each building, and the second parameter? ^{T + 1} , which is the updated parameter, (?).

On the other hand, if the difference between the first and second parameters exceeds the reference value in the parameter difference comparison step (S340), until the difference between the first and second parameters becomes equal to or less than the reference value The temperature information / parameter reception step S320 and the parameter update / transmission step S330 may be repeated.

At this time, in the repeated temperature information / parameter receiving step (S320), it is possible to receive the optimum temperature determined in each building using the second parameter? ^{T + 1} , which is the updated parameter have.

Meanwhile, FIG. 5 shows a flowchart of an energy management method in a complex building performed in a building control device according to the present invention. In this regard, referring to FIG. 2, the energy management method may be performed by the control unit 202.

As shown in FIG. 5, the energy management method includes an information reception step S410, a temperature information / parameter calculation / transmission step S420, and a parameter reception step S430.

The information receiving step (S410) receives information on energy management from a main controller.

The temperature information / parameter calculation / transmission step (S420) computes the temperature information associated with the optimal temperature for the building and the parameters associated with the cost function and transmits them to the main control device. At this time, in the temperature information / parameter operation / transmission step (S420), a sum of a first value associated with HVAC energy consumption and a user discomfort cost and a second value associated with the parameter The optimum temperature and the parameter may be determined to be minimum. Specifically, the first value (C ⁱ (T ⁱ⁾⁾ and said second value (λ ^t ΔE ⁱ (T ⁱ⁾⁾ the sum is the optimum temperature so that the minimum (T ⁱ⁾ and the parameter (λ ^t of ).

이 성립하고,

However,

는 각각 i번째 건물에서의 최적 온도, k번째 시간 인덱스와 i번째 건물에서의 최적 온도, 상기 HVAC 에너지 소모량, 상기 사용자 불편 비용이고, α는 에너지를 가격으로 변환하기 위한 변환 인자이고, λ^t는 시각 t에서의 상기 매개 변수이다. 또한, 상기 제2값은 상기 HVAC 에너지 소모량(Eⁱ _hvac)을 가격으로 변환한 값(αEⁱ _hvac)과 상기 사용자 불편 비용(Cⁱ _user(Tⁱ))의 합에 상기 매개 변수(λ^t)를 곱한 값으로 표현된다.

Is a conversion factor for converting the energy into price, and λ ^t is a conversion factor for converting the energy into price, Is the above parameter at time t. Also, the second value of the parameter to the sum of the HVAC energy consumption (E ⁱ _hvac) a value converted to a value (αE ⁱ _hvac) and the user discomfort cost _{^{(C i user (T i)}} ) variable (λ ^t ) &Lt; / RTI &gt;

The parameter receiving step (S430) receives a parameter updated from the main control device so that the sum of the cost based on the optimum temperature is minimized.

On the other hand, if the difference between the first parameter? ^T , which is the parameter, and the second parameter? ^{T + 1} , which is the updated parameter, exceeds the reference value?, The temperature information / / Transfer step (S420) and the parameter reception step (S430) are repeated. In this regard, the result of the parameter difference comparing step S340 described above in Fig. 4 can be used. As shown in FIG. 5, when the reference value? Is exceeded in accordance with the result of the parameter difference comparison step S340, the temperature information / parameter operation / transmission step S420 and the parameter reception step (S430).

That is, in the repeated temperature information / parameter operation / transmission step (S420), until the difference between the first and second parameters becomes equal to or less than the reference value, (λ ^{t + 1} ), and transmits the determined second optimal temperature to the main control unit through the interface unit.

As described above, the main control devices for energy management in a complex building, and the energy management methods in a building control device and a complex building have been described.

The energy management method in the complex building according to at least one embodiment of the present invention has an advantage that the temperature can be controlled so that the user can feel comfort while reducing the energy consumption in the building using the temperature information and related parameters have.

In addition, the energy management method in a complex building according to at least one embodiment of the present invention is characterized in that a local control device disposed in individual buildings or a main control device managing an entire building cooperate with each other, And the energy consumption in the building can be reduced.

According to a software implementation, not only the procedures and functions described herein, but also each component may be implemented as a separate software module. Each of the software modules may perform one or more of the functions and operations described herein. Software code can be implemented in a software application written in a suitable programming language. The software code is stored in a memory and can be executed by a controller or a processor.

1000: Building energy management system
100: Main control device
200: Building control equipment
210, 220, and 230: first to third building control devices
101 and 201:
102, 202:

Claims (15)

A method for energy management in a complex building performed by a main control device,
An information requesting step of requesting information on energy management to each building;
A temperature information / parameter receiving step of receiving temperature information associated with an optimal temperature for each building and a parameter associated with the cost function from each building; And
And a parameter update / transmission step of updating the parameter and transmitting the parameter to each building so that a sum of costs according to the optimum temperature is minimized,
In the temperature information / parameter receiving step,
The optimal temperature is determined such that a sum of a first value associated with HVAC energy consumption and a user discomfort cost and a second value associated with the parameter is at a minimum,
The cost function,

Lt; / RTI &gt;

Is a conversion factor for converting the energy into price, R is the energy of the energy in the i-th building, the optimal temperature in the i-th building, the k-th time index and the optimal temperature in the i-th building, the HVAC energy consumption, Wherein the energy is an energy demand response (EDR), λ is the parameter, and N is the number of buildings. delete The method according to claim 1,
A parameter for determining whether a difference between a first parameter (? ^T ) that is a parameter received from each building and a second parameter (? ^{T + 1} ) that is the updated parameter is less than or equal to a reference value Further comprising a difference comparison step. The method of claim 3,
If the difference between the first and second parameters exceeds the reference value,
And repeating the temperature information / parameter reception step and the parameter update / transmission step until the difference between the first and second parameters becomes equal to or less than the reference value. . 5. The method of claim 4,
The temperature information / parameter receiving step includes:
Characterized in that said optimum temperature is determined using said second parameter (? ^{T + 1} ), which is the updated parameter, in said building. In a main controller for energy management in a complex building,
An interface unit for requesting information on energy management to each building; And
Receiving from each building a temperature parameter associated with an optimal temperature for each building and a parameter associated with the cost function and updating the parameter to minimize the sum of costs according to the optimal temperature, And a control unit for controlling the interface unit to transmit to each building,
Preferably,
Determining from the respective buildings the sum of a first value associated with HVAC energy consumption and a user discomfort cost and a second value associated with the parameter to a minimum, And the control unit receives the control signal,
The cost function,

Lt; / RTI &gt;

Is a conversion factor for converting the energy into price, R is the energy of the energy in the i-th building, the optimal temperature in the i-th building, the k-th time index and the optimal temperature in the i-th building, the HVAC energy consumption, Is an energy amount according to an energy demand response (EDR),? Is the parameter, and N is the number of buildings. delete The method according to claim 6,
Wherein,
Determining whether a difference between a first parameter (? ^T ) received from each building and a second parameter (? ^{T + 1} ), which is the updated parameter, is less than or equal to a reference value Control device. 9. The method of claim 8,
Wherein,
If the difference between the first and second parameters exceeds the reference value,
From the respective buildings, a second optimum temperature changed until a difference between the first and second parameters becomes equal to or less than the reference value,
And updating the second parameter so as to minimize the sum of the cost based on the second optimal temperature and transmitting the updated second parameter to each of the buildings,
Wherein the second optimal temperature is determined in each building using the second parameter (? ^{T + 1} ) which is the updated parameter. delete In a building controller for energy management in a complex building,
An interface for receiving information on energy management from a main controller; And
Calculating a parameter associated with the temperature function associated with the optimal temperature for the building and a parameter associated with the cost function to transmit the parameter to the main control device and updating the updated parameter such that the sum of the cost based on the optimum temperature is minimized, And a control unit for controlling the interface unit to receive from the device,
Wherein,
Determines the optimal temperature and the parameter such that a sum of a first value associated with HVAC energy consumption and a user discomfort cost and a second value associated with the parameter is at a minimum, Determines the optimum temperature (T ⁱ ) and the parameter (λ ^t ) such that the sum of the first value (C ⁱ (T ⁱ )) and the second value (λ ^t ΔE ⁱ (T ⁱ )

ego,

Is a conversion factor for converting the energy into price, and λ ^t is a conversion factor for converting the energy into price, Is the above parameter at time t,
The second value to the parameter (λ ^t) to the sum of the value obtained by converting the HVAC energy consumption (E ⁱ _hvac) and the rate (αE ⁱ _hvac) and the user discomfort cost _{^{(C i user (T i)}} ) And a value obtained by multiplying the output value of the building control device by a value obtained by multiplication. delete delete 12. The method of claim 11,
If the difference between the first parameter (? ^T ) as the parameter and the second parameter (? ^{T + 1} ) as the updated parameter exceeds the reference value (?),
Wherein,
Until a difference between the first and second parameters is less than or equal to the reference value,
Determining the second optimum temperature using the updated parameter, the second parameter (? ^{T + 1} ), and transmitting the determined second optimum temperature to the main control device via the interface As feature, building control device.
A method for managing energy in a complex building performed by a building control device,
An information receiving step of receiving information on energy management from a main controller;
A temperature information / parameter calculation / transmission step of calculating temperature information associated with the optimum temperature for the building and parameters associated with the cost function and transmitting the calculated temperature information to the main control device; And
And a parameter receiving step of receiving a parameter updated from the main control device so that a sum of costs according to the optimum temperature is minimized,
In the temperature information / parameter computation / transmission step,
Wherein the optimal temperature and the parameter are determined such that a sum of a first value associated with HVAC energy consumption and a user discomfort cost and a second value associated with the parameter is at a minimum, The optimum temperature T ⁱ and the parameter λ ^t are determined such that the sum of the values C ⁱ (T ⁱ ) and the second values λ ^t ΔE ⁱ (T ⁱ )

ego,

Is a conversion factor for converting the energy into price, and λ ^t is a conversion factor for converting the energy into price, Is the above parameter at time t,
The second value to the parameter (λ ^t) to the sum of the value obtained by converting the HVAC energy consumption (E ⁱ _hvac) and the rate (αE ⁱ _hvac) and the user discomfort cost _{^{(C i user (T i)}} ) Wherein the energy is expressed by a value obtained by multiplying the energy of the energy of the building.

Images