WO2023145996A1 - Plateforme de jumeau numérique pour prendre en charge la gestion et l'optimisation d'énergie d'un bâtiment consommant de l'énergie - Google Patents

Plateforme de jumeau numérique pour prendre en charge la gestion et l'optimisation d'énergie d'un bâtiment consommant de l'énergie Download PDF

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WO2023145996A1
WO2023145996A1 PCT/KR2022/001433 KR2022001433W WO2023145996A1 WO 2023145996 A1 WO2023145996 A1 WO 2023145996A1 KR 2022001433 W KR2022001433 W KR 2022001433W WO 2023145996 A1 WO2023145996 A1 WO 2023145996A1
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energy
building
digital twin
information
optimization
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PCT/KR2022/001433
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Korean (ko)
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홍성범
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녹원정보기술(주)
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/003—Navigation within 3D models or images
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/80—Homes; Buildings
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/30—Information sensed or collected by the things relating to resources, e.g. consumed power
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/30—Control

Definitions

  • the present invention relates to a digital twin platform, and in particular, information data transmitted from an overall building information part, a building facility information part, and a sensor unit are transmitted to the digital twin platform, and each information data is transmitted to the energy platform hub. calculates the energy consumption of each component, including floors/zones/facility included in the building, and virtualizes modeling for each component through the object modeling unit, and the energy control unit calculates the total energy consumption of the building Energy consumption that performs optimal control according to the amount of consumption, implements the digital twin by the object modeling unit in the digital twin platform, and outputs the calculated energy consumption in the energy platform hub as virtual modeling data of the digital twin. It is about a digital twin platform that supports building energy management and optimization.
  • the simulator unit performs repetitive tests for optimal energy control through simulation tests, and the status and failure of each facility and sensor included in the information data of the building equipment information part and sensor unit through the state failure monitoring unit It is about a digital twin platform that supports energy management and optimization of buildings that monitor energy consumption in real time.
  • a digital twin is a real world machine, equipment, object, etc. implemented in a virtual world in a computer, and verified through various simulation tests by creating objects (twins) identical to the real world in the virtual space. refers to the technique of
  • Digital twin technology is a concept advocated by General Electric (GE), an American home appliance company, and has been introduced to manufacturing in the 2000s. It is also being used in various fields such as aviation, construction, healthcare, energy, defense, and urban design. It can also be used to identify and solve problems that may occur through mock tests before making a design.
  • GE General Electric
  • digital twin technology is also being used to build a city identical to a real city in virtual space and test and verify various city administrations such as population distribution, safety, welfare, environment, commercial district, and transportation.
  • a digital twin is built in the virtual space, the efficiency of the policy can be verified and the shortcomings can be supplemented before introducing the policy to the actual city. For example, if a road is built in a city, it will be possible to figure out how it actually affects the traffic volume in the surrounding area before building the road.
  • Sejong City plans to develop a smart city digital twin platform with the Electronics and Telecommunications Research Institute (ETRI) and apply it to Sejong City.
  • Jeonju City decided to create a digital twin city that combines the administrative data of Jeonju City and Korea Land Information Corporation's IT in cooperation with the Korea Land and Geospatial Information Corporation to create a safe and convenient city, but it has not yet been applied to the building platform for energy saving. does not exist.
  • Patent Publication No. 1020200144998 Computer system implementing virtual sensor using digital twin and real-time data collection method using the same
  • 'Prior Art 1' sensor-based data using digital twin
  • the above prior art 1 implements a virtual sensor in a location where the actual physical sensor does not operate or the actual physical sensor cannot be installed, and the virtual sensor It was only intended to provide a digital twin model for the system based on the system, and was not related at all to the technical idea of predicting actual energy consumption according to the energy load in the building.
  • the present invention is to solve the above problems, and the information data transmitted from the building information part, the building equipment information part, and the sensor unit are transmitted to the digital twin platform, and each information is transmitted to the energy platform hub.
  • the energy consumption of each component including the floor/zone/facility included in the building is calculated, and the virtualization modeling work for each component is performed through the object modeling unit.
  • Optimum control is performed according to the total energy consumption, the digital twin platform implements the digital twin by the object modeling unit, and the energy consumption calculated in the energy platform hub is output as virtual modeling data of the digital twin. Its purpose is to provide a digital twin platform that supports energy management and optimization of high-consumption buildings.
  • the simulator unit performs repetitive tests for optimal energy control through virtual experiments, and the status and failure of each facility and sensor included in the information data of the building equipment information part and the sensor unit through the state failure monitoring unit.
  • Another purpose is to provide a digital twin platform that supports energy management and optimization of buildings that monitor energy consumption in real time.
  • a digital twin platform supporting energy management and optimization of energy consuming buildings includes an overall building information part including detailed information data about the building;
  • a building facility information part including information data of facility specifications installed in a building;
  • a sensor unit composed of a plurality of sensors that detects environmental conditions including temperature and humidity for energy flow within the building and environmental conditions for comfort indicators in real time;
  • an energy platform hub that calculates each energy load and energy consumption through information data transmitted from the entire building information part and the building facility information part; an object modeling unit that performs 3D or 2D virtualization modeling based on the information data transmitted from the entire building information part;
  • an energy control unit that controls the overall energy flow of the building through the information data transmitted from the building facility information part and the sensor unit and the optimization information transmitted from the simulator unit;
  • a simulator unit for predicting building energy load and optimizing energy consumption through information data transmitted from the building overall information part, the building facility information part, and the sensor unit;
  • a state failure monitoring unit that monitors in real time the status and failure of each facility and sensor included in the information data of
  • the digital twin platform that supports energy management and optimization of energy-consuming buildings according to the present invention is a digital twin, AI, IoT, big data technology and EMS (Energy Management System) technology. It is possible to preoccupy the technology market, manage real-time building energy indicators through digital twin technology, and systematically analyze and optimize building energy data through the integration of separate building management systems.
  • EMS Electronicgy Management System
  • iterative simulation results can be obtained based on building energy optimization algorithms, and more effective optimization algorithms can be improved through simultaneous expression in digital twin-based buildings. It has the advantage of being able to implement optimization control technology through analysis of energy consumption by element of general buildings and physical variables and control variables of energy equipment systems.
  • FIG. 1 is a block diagram of a digital twin platform supporting energy management and optimization of energy consuming buildings according to the present invention
  • FIG. 2 is a detailed configuration diagram of information data transmitted to the digital twin platform of FIG. 1;
  • FIG. 3 is a detailed configuration diagram for data conversion, control, and simulation of information data for the digital twin platform of FIG. 1;
  • the present invention is proposed to develop an energy digital twin platform for optimal operation in response to the dynamic energy acceptance of large-scale consumers, and to develop a general building digital twin platform and real-time automatic M&V-based energy management system, and to develop high-fidelity data-based energy
  • a digital twin platform acquire virtual sensing data using physics-based simulation techniques, develop technology for optimal operation and control of building energy by linking sensor and simulation data, establish and develop an indoor/outdoor hybrid wired/wireless sensor network base to secure reliability, economy, and accuracy of data .
  • Development of high-fidelity data-based building energy digital twin visualization technology and simulation data-linked building energy digital twin visualization technology establishment of optimal control algorithms to improve energy efficiency of general buildings and data centers, and development of data analysis linkage plans.
  • the applicant of the present application is in charge of virtualization modeling for the digital twin, and proposes a digital twin platform in which the operator can visually recognize the virtualization modeling data and energy consumption by incorporating technology developed by a partner specializing in it.
  • the digital twin platform supporting energy management and optimization of energy consuming buildings includes an overall building information part 10 including detailed information data about the building; a building facility information part (part) 20 including information data of facility specifications installed in the building; a sensor unit 30 composed of a plurality of sensors that detects environmental conditions including temperature and humidity for energy flow within the building and environmental conditions for comfort indicators in real time; an energy platform hub 40 that calculates each energy load and energy consumption through the information data transmitted from the building overall information part 10 and the building equipment information part 10; an object modeling unit 60 that performs 3D or 2D virtualization modeling based on the information data transmitted from the entire building information part 10; an energy control unit 70 that controls the overall energy flow of the building through the information data transmitted from the building equipment information part 20 and the sensor unit 30 and the optimization information transmitted from the simulator unit 80; a simulator unit 80 that predicts a building energy load and optimizes energy consumption through information data transmitted from the building overall information part 10, the building facility information part 20, and the sensor unit 30; A state failure monitoring unit 90 that monitor
  • the digital twin platform 100 is linked with the digital twin DB 50, and the digital twin DB 50 stores data on energy management and optimization of other energy-consuming buildings that have been previously implemented,
  • the digital twin platform (100) improves the efficiency of digital twin implementation by applying machine learning algorithms and AI (Artificial Intelligence) to the big data of the same or similar buildings stored in the digital twin DB (50). can make it
  • information data including area information 14 of zones on each floor, and heating/cooling area information 15 are transmitted to the digital twin platform 100.
  • the building equipment information part 20 information on the type of equipment installed for each floor zone (zone) (21), specification information (22) including the performance and efficiency of each equipment, and operation status of each equipment Data including information 23 is transmitted to the digital twin platform 100.
  • the sensor unit 30 data including energy IoT (Internet of Things) sensor information 31, outside air temperature and humidity information 32, and energy consumption information 33 for each zone in the building is delivered to the digital twin platform 100 in real time. At this time, the sensor unit 30 detects environmental conditions including temperature and humidity for the energy flow and environmental conditions for the comfort index.
  • energy IoT Internet of Things
  • a conventional general temperature sensor, humidity sensor, etc. may be used, and while comparing the initial state with the state in which the heating/cooling facility or air conditioning facility is operated, the desired temperature and humidity are included through feedback control.
  • the comfort level can be adjusted.
  • the energy IOT sensor information 31 is information data obtained from a sensor in which the Internet of Things (IoT) is implemented by connecting objects to the Internet, and is applied to IoT-based smart energy platform technology to solve energy problems in a hyper-connected society.
  • IoT Internet of Things
  • a variety of information about the surrounding environment is obtained through electronic devices that are used.
  • the energy IOT sensor is applied to services that maximize energy efficiency through energy information collection, load management of energy demand, and energy sharing/transaction.
  • -Increase energy efficiency provide energy sharing and trading services through interconnection and integration between energy systems for the entire life cycle of utilization, and provide new energy solutions for national and social problems such as continuous increase in energy demand, avoidance of power peaks, and response to future trends It is possible to develop and spread services. This becomes possible by developing an energy internet platform for IoT-based energy demand management service, distributed energy paradigm establishment, and energy inter-grid-based energy trading service.
  • the detection of energy consumption/fire/failure/power operation is made possible by the energy IOT sensor, temperature sensor, humidity sensor, etc. provided in the sensor unit 30 of the present invention, and other conventionally known sensor devices. implementation is possible
  • the energy platform hub 40 calculates the energy consumption at the current time through the information data detected by the sensor unit 30 based on the energy load of the building identified by the building design and structural drawings, and performs an optimal control function.
  • the energy consumption optimized through the module is calculated and transmitted to the digital twin platform 100.
  • the energy platform hub 40 is a separate field collection data DB 41 for storing field collection data transmitted from the building overall information part 10, building facility information part 20, and sensor unit 30. ) is provided, and the data stored in the field collection data DB 41 can be used as source data to optimize control for the same and similar building structures.
  • the object modeling unit 60 is a preliminary step, which includes actual measurement of the structure compared to the design drawing of the building (61), property information for each zone and facility (62), 3D-VR engine and facility characterization 3D-modeling (63) that forms characters through realistic objects for building exteriors and each zone and facility through the basic technology of (Visualization), visual synchronization that adjusts the shape and size of each character ( 64) will be performed.
  • the actual measurement 61 can be replaced with a blueprint or 3D bird's-eye view in which the exterior and structure of the building are specified in detail, and in the attribution informatization 62, colors and properties are assigned according to zones or equipment types. do.
  • 3D modeling is implemented to be expressed in the same way as real life through objects similar to reality, and an object filter function is implemented in the display unit 100, so that selective Monitoring is possible, so the operator can express/monitor only customized situations.
  • the object modeling unit 60 assigns colors and properties according to each floor or zone of a building, and the display unit 100 implements an object filter function, so that each floor or zone There is a technical specificity in that it is implemented so that selective monitoring is possible in the display unit 100 according to the attribute of .
  • the implementation stage proceeds by the data obtained in the preliminary stage, and in the implementation stage, virtualization modeling (65), which arranges the visuals of each virtualized character according to the building structure, and analysis (analytics) using big data are performed. Then, virtual modeling 66 including information data of energy consumption that changes in real time is performed, and output to the display unit 100 in real time through the digital twin platform 100.
  • virtualization modeling 65
  • analysis analytics
  • the display unit 100 it is possible to selectively search for a specific number of floors and a specific zone, and prompt countermeasures and remote control are possible by checking work properties in real time when an abnormality/unexpected situation occurs.
  • an intelligent building energy saving unit 71 for optimizing energy consumption by adjusting the current outdoor temperature and humidity based on the set temperature and humidity
  • a comfort index response unit that adjusts PMV (Predicted Mean Vote; Predicted Mean Vote), PPD (Predicted Percentage of Dissatisfied), indoor temperature and humidity, indoor CO2 concentration, and indoor illumination according to the set comfort index ( 72) and
  • An optimal control unit 73 that adjusts energy consumption based on energy data consisting of heat sources and power and environmental data consisting of climate, fine dust detection, and occupancy detection; It is composed of.
  • the heat/cold that humans feel is the air temperature, which is the temperature of the air itself, and the radiant temperature that thermal energy is felt even without direct contact, such as the surface of walls, floors, clean rooms, etc., or sunlight passing through glass windows in daily life, Absolute humidity or relative humidity, which is determined by how much moisture is contained in the air, and air flow, which is heat transfer by air flow caused by differences in the internal structure of a building, are mainly affected.
  • a comfort index that comprehensively evaluates the thermal influence of the environment received by the human body is applied for optimal control.
  • the comfort index is a scale for expressing the human body response according to the comfort and warmth felt by the human body for thermal environment elements, and the comfort index is determined by the concentration of C02 inside the building, the intensity of illumination, and the like.
  • the PMV Predicted Mean Vote; Predicted Mean Vote
  • the PMV measures six thermal environmental factors (temperature, humidity, air flow, MRT, metabolism, clothing) of the human body and the surrounding environment from the thermal equilibrium equation between the human body and the surrounding environment. calculated by Warm and cold is expressed as a number from -3 to +3.
  • the predicted percentage of dissatisfied is a percentage of the total number of people who are thermally dissatisfied with a certain environment, and the expected discomfort index of people with respect to the thermal environment at a specific point can be confirmed.
  • the simulator unit 80 includes a building load estimation unit 81 that predicts the energy load required for each floor, zone, and facility of the building; an optimal control simulation unit 82 that calculates the most desirable energy saving according to the energy load; a predictive maintenance simulation unit 83 that receives a signal from the sensor, applies a failure detection algorithm, and derives an optimal energy management plan; It is composed of.
  • a virtual sensor may be implemented at a location where an actual physical sensor does not operate or a real physical sensor cannot be installed, and a digital twin model for the system may be simulated based on the virtual sensor.
  • the simulator unit 80 utilizes a reduced order model (ROM) technique to predict the building energy consumption change and simulation data-linked load considering the building energy real-time simulation empirical environment and the surrounding environmental variables in which the building is installed.
  • ROM reduced order model
  • the state detection unit 90 measures whether the facilities installed in the building are normally operating through feedback control of temperature and humidity, which is an example of the present invention, and can monitor whether there is a malfunction or abnormal operation. there is.
  • the feedback control is a control method that compares the value of the control amount with a target value (temperature, humidity, etc.) by returning an output signal to the input signal and performs a corrective action to match them. Since it does not progress, it is possible to monitor the state of the facility through this.
  • the display unit 100 monitors the real-time energy consumption of the building implemented by the digital twin platform 100, displays the energy consumption according to the zone of the selected building, and displays the facilities included in each selected screen. If selected individually, the energy consumption of the facility is displayed on a separate screen, and when an abnormality/unexpected situation occurs, the property of each floor or zone of the building given by the object modeling unit 60 is checked in real time to take quick response measures. And remote control becomes possible.
  • the display unit 100 is installed in an operation center (not shown) and is displayed as shown in FIGS. 4 to 11 as an embodiment of the present invention so that the total energy consumption of the building can be checked in real time.
  • FIG. 4 the digital twin platform supporting energy management and optimization of energy consuming buildings of the present invention is applied to a multi-story general building
  • FIG. 5 is an example applied to a data center, which is a facility.
  • a 3D virtual building or data center is displayed on the screen, and the operator selects a floor or zone on the screen to determine not only energy consumption but also fire/failure/power operation, etc. can be checked in real time.
  • the detection of energy consumption / fire / failure / power operation can be easily implemented by various sensors provided in the sensor unit 30 of the present invention and other conventionally known measuring devices, the following A detailed description is omitted.
  • the display unit 100 can display a division screen in which each information is displayed according to an operator's selection through a main screen, a sub screen, a pop-up window, etc. can
  • the display unit 100 displays a heat map (heatmap) expressing the energy load for each floor or each zone, or displays overall building information and each Energy load for each zone can be displayed.
  • a heat map heatmap
  • the energy consumption of each floor or use zone in the building is displayed, or as shown in FIG. 9, the operation of the heating and cooling system in the building, temperature control, ventilation and lighting, etc. are displayed.
  • a method of displaying energy-related information for each floor/zone/area, which is internal information of a building, as shown in FIG. 11, or implementing a virtual patrol inspection service through an avatar as shown in FIG. can be displayed as

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Abstract

La présente invention se rapporte à une plateforme de jumeau numérique qui prend en charge la gestion et l'optimisation d'énergie d'un bâtiment consommant de l'énergie, qui fournit en sortie une consommation d'énergie pour chaque étage/zone/installation du bâtiment en tant que données de modélisation virtuelle d'un jumeau numérique. Selon la présente invention, la plateforme de jumeau numérique qui prend en charge la gestion et l'optimisation d'énergie d'un bâtiment consommant de l'énergie a pour effet de dominer le marché technologique en raison du développement de nouvelles technologies dans le domaine de la gestion d'énergie de bâtiment par l'intégration de technologies de jumeau numérique, d'IA, d'IdO et de mégadonnées avec une technologie de système de gestion d'énergie (EMS), de gérer des indicateurs d'énergie de bâtiment temporels par l'intermédiaire d'une technologie de jumeau numérique en temps réel, et d'analyser et d'optimiser systématiquement des données d'énergie de bâtiment intégrées par l'intégration de systèmes de gestion de bâtiment distincts. De plus, la plateforme de jumeau numérique qui prend en charge la gestion et l'optimisation d'énergie d'un bâtiment consommant de l'énergie présente les avantages d'obtenir des résultats de simulation répétés sur la base d'un algorithme d'optimisation d'énergie de bâtiment, d'améliorer un algorithme d'optimisation plus efficace par expression simultanée dans un bâtiment basé sur un jumeau numérique, de détecter et de diagnostiquer des anomalies dans un système d'énergie de bâtiment, et de mettre en œuvre une technologie de commande d'optimisation par l'intermédiaire d'une analyse de consommation d'énergie par élément d'un bâtiment général et de variables physiques, de variables de commande, etc. d'un système d'équipement énergétique. En outre, la plateforme de jumeau numérique qui prend en charge la gestion et l'optimisation d'énergie d'un bâtiment consommant de l'énergie a pour effet de mettre en œuvre une technologie de commande de climatisation par l'intermédiaire d'une recherche de confort et de capteurs au-delà du niveau de base de température et d'humidité, et d'établir des exigences standard pour un jumeau numérique dans le secteur du bâtiment en matière de gestion de demande d'énergie, ce qui permet de vérifier les performances, l'extensibilité et l'interopérabilité d'une solution mise au point pour assurer la compétitivité dans le marché de gestion d'énergie de bâtiment.
PCT/KR2022/001433 2022-01-26 2022-01-27 Plateforme de jumeau numérique pour prendre en charge la gestion et l'optimisation d'énergie d'un bâtiment consommant de l'énergie WO2023145996A1 (fr)

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KR10-2022-0011614 2022-01-26
KR1020220011614A KR20230116105A (ko) 2022-01-26 2022-01-26 에너지 다소비 건물의 에너지 관리 및 최적화를 지원하는 디지털 트윈 플랫폼

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KR102667862B1 (ko) 2024-02-06 2024-05-23 팩트얼라이언스 주식회사 정보 시각화를 이용한 중전기기 모니터링 시스템 및 그 방법

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KR102648879B1 (ko) * 2023-11-15 2024-03-18 주식회사 부-스타 예비순환경로를 이용한 친환경 냉난방시스템

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CN117892655A (zh) * 2024-01-15 2024-04-16 浙江大学 建筑物联网虚拟化管理平台及管理方法及系统
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