Building energy management system and control method thereof
Patent Information
- Application Number
- KR1020250026653
- Authority / Receiving Office
- KR · KR
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-02-28
- Publication Date
- 2026-09-04
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Figure PAT00001_ABST
Abstract
Description
Technology Field
[0001] The present invention relates to a building energy management system and a control method thereof, and more specifically, to a system for managing energy supplied to a building and a control method thereof. Background Technology
[0002] Various efforts are being made to manage rapidly increasing energy consumption at an appropriate level.
[0003] In particular, for building energy management, standards are being established and referenced not only at the industrial level but also at the government level.
[0004] For example, the government established KS F 1800-1:2014 (Standard name: Building Energy Management System - Part 1: Functions and Data Processing Procedures) and KS F 1800-2:2020 (Standard name: Building Energy Management System - Part 2: Selection of Control Points, Data Management and Calculation of Energy Savings) as standards.
[0005] However, while these government-level standards propose the following three control points as a method for selecting data (control points) and managing information, they do not provide specific definitions for key spaces or methods for configuring control points, so they are excluded from the actual system configuration.
[0006] (1) Control point for building energy performance analysis and management
[0007] (2) Control points for analyzing and managing the energy performance of major facilities
[0008] (3) Control points for analyzing and managing major space energy performance
[0009] In other words, while the standard presents a list of control points, it does not provide control points for major spaces or selection methods, and it suggests defining location information for control points of facilities. Consequently, current building energy management systems focus on management methods for the supply of energy facilities, which has limitations in energy management centered on the occupants who actually live in the building spaces.
[0010] Therefore, it is time for a system that proposes a method for selecting information regarding the space, enabling the building energy management system to promote user (occupant)-oriented satisfaction and energy management. Prior art literature
[0011] Registered Patent No. 10-1953014 The problem to be solved
[0012] Accordingly, the present invention has been devised to meet the aforementioned conventional requirements, and its purpose is to provide a building energy management system and a control method thereof that enables energy management to be carried out from the user's perspective, focusing on the individual occupancy space actually used by the occupant, rather than from the supplier's perspective, such as facilities equipped in the building. means of solving the problem
[0013] To achieve the above-mentioned purpose, a control method for a building energy management system according to the present invention may include the steps of: dividing an occupancy zone into individual major spaces according to a pre-set functional classification; collecting energy-related data for each of the divided individual major spaces; and predicting the amount of energy supplied to the occupancy zone by applying a pre-set weight using the individual major spaces and the energy-related data.
[0014] Here, the method may further include the step of calculating the energy supply amount for the occupancy area based on a measurement value received from a measuring device that measures the energy supplied to the occupancy area; the step of comparing the calculated energy supply amount with the predicted energy supply amount; and the step of resetting the weight according to the comparison result.
[0015] Here, information regarding the individual key spaces and information regarding the energy-related data can be determined based on information entered by the occupant or personal information entering and exiting the occupancy area.
[0016] Here, the method further includes the step of collecting supply-centered energy data of the building itself, including the aforementioned occupancy zone, and predicting the energy supply amount in the building, and can reflect the predicted consumer-centered energy supply amount.
[0017] In addition, to achieve the above-mentioned purpose, the building energy management system according to the present invention may include: a major space determination unit that divides an occupancy area into individual major spaces according to a pre-set functional classification; a data collection unit that collects energy-related data for each individual major space determined by the major space determination unit; and an occupancy area energy supply prediction unit that predicts the energy supply amount for the occupancy area by applying a pre-set weight using the individual major spaces determined by the major space determination unit and the energy-related data collected by the data collection unit.
[0018] Herein, the system may further include an energy supply amount calculation unit for an occupancy area that calculates the energy supply amount for the occupancy area based on a measurement value received from a measuring device that measures the energy supplied to the occupancy area; a comparison unit that compares the energy supply amount calculated by the energy supply amount calculation unit with the energy supply amount predicted by the energy supply amount prediction unit for the occupancy area; and a weight reset unit that resets the weight according to the comparison result of the comparison unit.
[0019] Here, information regarding individual major spaces determined by the major space determination unit and information regarding energy-related data collected by the data collection unit can be determined based on information entered by the occupant or personal information entering and exiting the occupancy area.
[0020] Here, the system further includes a building energy supply prediction unit that collects supply-centered energy data of the building itself, including the occupancy area, and predicts the energy supply amount in the building, and the building energy supply prediction unit can process by reflecting the consumer-centered energy supply amount predicted by the occupancy area energy supply prediction unit. Effects of the invention
[0021] As explained above, according to the present invention, a building energy management system can achieve both user (occupant)-oriented satisfaction improvement and energy management. Brief explanation of the drawing
[0022] FIG. 1 is a functional block diagram of a building energy management system according to one embodiment of the present invention, and FIGS. 2 and 3 are control flow diagrams of a building energy management system according to one embodiment of the present invention. Specific details for implementing the invention
[0023] The present invention will be described in detail below with reference to the attached drawings.
[0024] Each of the embodiments according to the present invention described below is merely an example to aid in understanding the present invention, and the present invention is not limited to such embodiments. In particular, the present invention may be composed of a combination of at least one of the individual components, individual functions, or individual steps included in each embodiment.
[0025] In particular, for convenience, some claims in the scope of claims have included alphabets such as '(a)', but these alphabets do not define the order of each step.
[0026] An example of a specific functional block of a building energy management system (100) according to one embodiment of the present invention is as shown in FIG. 1.
[0027] As illustrated in the drawing, the building energy management system (100) may be configured to include a main space judgment unit (110), a data collection unit (120), an occupancy area energy supply amount prediction unit (130), an occupancy area energy supply amount calculation unit (140), a comparison unit (150), a weight reset unit (160), and a building energy supply amount prediction unit (170).
[0028] Here, the main space judgment unit (110) performs the function of dividing the occupancy area into individual main spaces according to a pre-set functional classification.
[0029] For example, if the occupants are different on each floor of the building, the main space determination unit (110) can divide each occupancy zone on each floor into individual main spaces.
[0030] For example, the occupancy area on the first floor can be identified as two separate main spaces, such as an 'office' and a 'corridor', and the occupancy area on the second floor can be further divided into six separate main spaces, such as an 'office', a 'conference room', a 'lecture room', a 'restroom', a 'laboratory', and a 'corridor'.
[0031] In addition, individual major spaces may include 'restrooms', 'cafeterias', 'parking lots', 'dormitories', and 'indoor sports areas'.
[0032] The data collection unit (120) performs the function of collecting energy-related data for each individual major space determined by the major space determination unit (110).
[0033] Here, 'energy-related data' refers to related data necessary to determine or predict energy consumption, and may include volume, recommended temperature / humidity, occupancy (number of users), related heating and cooling equipment information, related ventilation equipment information, related lighting equipment information, etc. for each individual major space.
[0034] Information regarding individual major spaces determined by the aforementioned major space determination unit (110) and information regarding energy-related data collected by the data collection unit (120) may be information entered by a resident, or may be determined based on personal information entering and exiting the resident area.
[0035] For example, occupants may directly input information regarding the use, location, and size of individual key spaces, or the use and size of each individual key space may be automatically determined and calculated by considering the number of occupants, movement, and entry / exit times through sensing devices installed inside and outside each occupancy zone.
[0036] For example, if the movement of occupants is active throughout the entire occupancy area by means of a sensor provided within the occupancy area, the building energy management system (100) can determine that the entire occupancy area corresponds to a ‘sports space’.
[0037] The energy supply prediction unit (130) for the occupancy area performs the function of predicting the energy supply amount for the occupancy area by applying a pre-set weight using individual major spaces determined by the major space determination unit (110) and energy-related data collected by the data collection unit (120).
[0038] For example, if the occupancy area on the second floor is divided into six individual main spaces such as 'office', 'conference room', 'lecture room', 'restroom', 'laboratory', 'corridor', etc., the occupancy area energy supply prediction unit (130) can predict the amount of energy to be supplied to the second floor by taking into account the size, location, etc. of each individual main space.
[0039] Here, the weights may be set according to the major spaces constituting each occupancy zone.
[0040] For example, a case where the main space consists solely of 'sports space' and a case where it consists of 'offices' and 'laboratories' can have different weights.
[0041] Meanwhile, the energy supply amount calculation unit (140) for the occupancy area performs the function of calculating the energy supply amount for the occupancy area based on the measurement value received from the measuring device that measures the energy supplied to the occupancy area.
[0042] For example, the energy supply calculation unit (140) for each occupancy zone can calculate the individual energy supply amount for each occupancy zone by checking the amount of electricity supplied to each occupancy zone through an electricity meter.
[0043] That is, the energy supply amount calculation unit (140) for each occupancy area calculates the heat supply amount, power supply amount, etc. (collectively referred to as 'energy supply amount') supplied to each occupancy area using information received from a measuring instrument.
[0044] The comparison unit (150) performs the function of comparing the energy supply amount calculated by the occupancy area energy supply amount calculation unit (140) with the energy supply amount predicted by the occupancy area energy supply amount prediction unit (130).
[0045] That is, the comparison unit (150) compares the actual energy supply amount (post-judgment amount) supplied to each occupancy zone with the energy supply amount (pre-judgment amount) predicted in advance.
[0046] The weight reset unit (160) performs the function of resetting the weight according to the comparison result of the comparison unit (150).
[0047] That is, the weight reset unit (160) resets the weight for each occupancy zone according to the comparison result of the comparison unit (150), for example, it can reset the weight that was previously set for the configuration of the main space constituting each occupancy zone.
[0048] For example, when a first set value and a second set value are set for a first occupancy zone in which the main space is a 'sports space' and a second occupancy zone in which the main space is an 'office' or 'laboratory', respectively, the weight reset unit (160) updates the first set value or the second set value according to the comparison result of the comparison unit (150) so that the error between the actual amount of energy supplied and the predicted amount of energy is reduced in the future.
[0049] In particular, by adjusting the setting values based on the type and size of individual key spaces constituting each occupancy zone, it is possible to update the setting values all at once for occupancy zones that have similar individual key spaces.
[0050] The building energy supply prediction unit (170) collects energy supply center data of the building itself, including the occupancy zone, and then performs the function of predicting the energy supply amount in the building.
[0051] That is, the building energy supply prediction unit (170) performs the function of predicting the amount of energy supplied in the building using the building's own supply-centered energy data, such as building information, energy source information, equipped facility information, and meter information, and this function itself is already performed in the past.
[0052] However, in this embodiment, the building energy supply amount prediction unit (170) differs from the conventional one in that it not only uses energy supply-centered data of the building itself but also reflects and processes the energy supply amount centered on the consumer predicted by the occupancy area energy supply amount prediction unit (130).
[0053] That is, the building energy supply prediction unit (170) processes the final energy supply for the occupancy area by reflecting it through the performance of functions such as the main space judgment unit (110), data collection unit (120), and occupancy area energy supply prediction unit (130) described above, in predicting the energy supply for the entire building.
[0054] At this time, the building energy supply prediction unit (170) can predict the total energy supply of the building by applying a pre-set weight to each predicted energy supply for the occupancy zone centered on the consumer and the energy supply for the supplier.
[0055] Hereinafter, the overall control process of a building energy management system (100) according to one embodiment of the present invention will be explained with reference to FIG. 2.
[0056] First, the building energy management system (100) determines supply-centered energy data for the building (step S1).
[0057] In addition, the building energy management system (100) determines demand-centered energy data for each occupancy zone of the building (step S3).
[0058] Afterwards, the building energy management system (100) can predict the total energy supply of the building by considering both supply-oriented energy data and demand-oriented energy data (step S5).
[0059] Figure 3 explains the specific process of processing using demand-centered energy data during the process of Figure 2.
[0060] First, the building energy management system (100) determines individual key spaces for each occupancy zone within the building (step S11).
[0061] Next, the building energy management system (100) collects energy-related data corresponding to each individual major space (step S13).
[0062] Afterwards, the building energy management system (100) predicts the amount of energy supplied for each occupancy zone by applying a pre-set weight using individual key space and energy-related data (step S15).
[0063] Afterwards, the building energy management system (100) determines the amount of energy supplied for each occupancy zone, which is the amount of energy actually supplied for each occupancy zone (step S17).
[0064] The building energy management system (100) compares the actual amount of energy supplied per occupancy zone (actual usage) determined in this way with the previously predicted amount of energy per occupancy zone (predicted amount) (step S19), and resets the weights used for prediction using the comparison result (step S21).
[0065] As described above, by predicting the energy supply for each individual occupancy zone, it becomes possible to determine the proper energy supply for each zone and decide on the method that generates the optimal cost (energy storage, operation, etc.).
[0066] As a result, it becomes possible to increase satisfaction not only in terms of cost for individual residents but also regarding appropriate heating and cooling temperatures.
[0067] Meanwhile, it goes without saying that the process of carrying out each of the above-described embodiments may be performed by a program or application stored on a predetermined recording medium (e.g., computer-readable). Here, the recording medium includes all types of electronic recording media such as RAM (Random Access Memory), magnetic recording media such as hard disks, and optical recording media such as CDs (Compact Disks).
[0068] At this time, the program stored on the recording medium can be executed on hardware such as a computer or a smartphone to perform each of the embodiments described above. In particular, at least one of the functional blocks of the building energy management system according to the present invention described above can be implemented by such a program or application.
[0069] Furthermore, the present invention is not limited to the specific embodiments described above, but can be implemented with various modifications and variations within the scope of the essence of the invention. It will be obvious that such modifications and variations are included in the present invention if they fall within the scope of the appended claims. Explanation of the symbols
[0070] 100: Building Energy Management System 110: Key Space Judgment Unit 120: Data Collection Unit 130: Residential Area Energy Supply Prediction Unit 140 : Occupancy Area Energy Supply Calculation Section 150 : Comparison Section 160: Weight reset unit 170: Building energy supply prediction unit
Claims
Claim 1 A control method for a building energy management system characterized by comprising: (a) a step of dividing an occupancy zone into individual major spaces according to a pre-established functional classification; (b) a step of collecting energy-related data for each individual major space divided in step (a); and (c) a step of predicting the energy supply amount for the occupancy zone by applying a pre-established weight using the individual major spaces of step (a) and the energy-related data of step (b). Claim 2 A control method for a building energy management system according to claim 1, further comprising: (d) a step of calculating an energy supply amount for the occupancy area based on a measurement value received from a measuring device that measures the energy supplied to the occupancy area; (e) a step of comparing the energy supply amount calculated in step (d) with the energy supply amount predicted in step (c); and (f) a step of resetting the weight according to the result of the comparison in step (e). Claim 3 A control method for a building energy management system according to claim 1, characterized in that the information regarding individual key spaces in step (a) and the information regarding energy-related data in step (b) are determined based on information entered by an occupant or personal information entering and exiting the occupancy area. Claim 4 A control method for a building energy management system according to claim 1, further comprising the step of (g) collecting supply-centered energy data of the building itself including the occupancy zone and then predicting the amount of energy supplied in the building, wherein the step (g) reflects the amount of energy supplied to consumers predicted in the step (c). Claim 5 A computer-readable recording medium having a program for executing the method of any one of paragraphs 1 through 4. Claim 6 A building energy management system characterized by comprising: a major space determination unit that divides an occupancy zone into individual major spaces according to a pre-set functional classification; a data collection unit that collects energy-related data for each individual major space determined by the major space determination unit; and an occupancy zone energy supply prediction unit that predicts the energy supply amount for the occupancy zone by applying a pre-set weight using the individual major spaces determined by the major space determination unit and the energy-related data collected by the data collection unit. Claim 7 A building energy management system according to claim 6, further comprising: an energy supply amount calculation unit for an occupancy area that calculates the energy supply amount for the occupancy area based on a measurement value received from a measuring device that measures the energy supplied to the occupancy area; a comparison unit that compares the energy supply amount calculated by the energy supply amount calculation unit for the occupancy area with the energy supply amount predicted by the energy supply amount prediction unit for the occupancy area; and a weight reset unit that resets the weight according to the comparison result of the comparison unit. Claim 8 A building energy management system according to claim 6, characterized in that the information regarding individual major spaces determined by the major space determination unit and the information regarding energy-related data collected by the data collection unit are determined based on information entered by an occupant or personal information entering and exiting the occupancy area. Claim 9 A building energy management system according to claim 6, further comprising a building energy supply amount prediction unit that collects supply-centered energy data of the building itself including the occupancy area and predicts the energy supply amount in the building, wherein the building energy supply amount prediction unit processes by reflecting the consumer-centered energy supply amount predicted by the occupancy area energy supply amount prediction unit.
