WO2019066160A1 - Procédé, système et support lisible par ordinateur pour réguler des conditions de température et intérieures dans un système de bâtiment à énergie renouvelable - Google Patents

Procédé, système et support lisible par ordinateur pour réguler des conditions de température et intérieures dans un système de bâtiment à énergie renouvelable Download PDF

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WO2019066160A1
WO2019066160A1 PCT/KR2018/001277 KR2018001277W WO2019066160A1 WO 2019066160 A1 WO2019066160 A1 WO 2019066160A1 KR 2018001277 W KR2018001277 W KR 2018001277W WO 2019066160 A1 WO2019066160 A1 WO 2019066160A1
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Prior art keywords
information
building
temperature
amount
ventilation
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PCT/KR2018/001277
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English (en)
Korean (ko)
Inventor
이경호
주문창
백남춘
황혜미
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한국에너지기술연구원
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Publication of WO2019066160A1 publication Critical patent/WO2019066160A1/fr

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D19/00—Details
    • F24D19/10—Arrangement or mounting of control or safety devices
    • F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
    • F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
    • F24D19/1042—Arrangement or mounting of control or safety devices for water heating systems for central heating the system uses solar energy
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/0001—Control or safety arrangements for ventilation
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46—Improving electric energy efficiency or saving
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
    • F24F5/0046—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater using natural energy, e.g. solar energy, energy from the ground
    • F24F5/005—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater using natural energy, e.g. solar energy, energy from the ground using energy from the ground by air circulation, e.g. "Canadian well"
    • 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
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/50—Air quality properties
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/10—Occupancy
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
    • F24F2130/10—Weather information or forecasts
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
    • F24F2130/20—Sunlight
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A30/00—Adapting or protecting infrastructure or their operation
    • Y02A30/27—Relating to heating, ventilation or air conditioning [HVAC] technologies
    • Y02A30/272—Solar heating or cooling
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00—Integration of renewable energy sources in buildings
    • Y02B10/20—Solar thermal
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00—Integration of renewable energy sources in buildings
    • Y02B10/40—Geothermal heat-pumps
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00—Integration of renewable energy sources in buildings
    • Y02B10/70—Hybrid systems, e.g. uninterruptible or back-up power supplies integrating renewable energies

Definitions

  • the present invention relates to a temperature and room state control method, system, and computer readable medium in a new and renewable building energy system, and more particularly to a system and computer readable medium for receiving a building energy usage amount, weather forecast information, Systems, and computer readable media in a renewable building energy system that adjusts target indoor temperature and target indoor air pollution levels to minimize energy use or cost by using equilibrium relationships and ventilation equilibrium relationships. .
  • the supply temperature of the heat source equipments is maintained between the temperature deviations of predetermined intervals based on the pre-selected set values.
  • the control method On / Off control, Inverter control, Step control, etc.
  • the variable air quantity system is a method of controlling the number of revolutions of the supply / exhaust fan in order to maintain the indoor set temperature.
  • Such a conventional air conditioning control method does not consider the energy saving, and various methods for the air conditioning control method are sought for energy saving. However, most of these methods do not adequately cope with changing external and internal loads There is a problem in that the efficiency of energy consumption is rather reduced because the whole heat source and the air conditioning system are not linked to each other only by the efficiency of the individual devices.
  • the factors of heat load by the ventilator, the energy consumption by the ventilator, and the target indoor pollution degree by the ventilator can not be taken into consideration.
  • the present invention receives building energy usage, weather forecast information, and predictor information from external sources, and adjusts indoor temperature and indoor pollution level of buildings to minimize energy consumption or cost by using thermal equilibrium relationship and ventilation equilibrium relation of buildings To provide a building energy management system.
  • a building energy management system comprising: a control target building including a cooling / heating unit and a ventilator, receiving basic data from outside, A central control unit for deriving a temperature and a target indoor pollution degree; A temperature regulator for receiving the target room temperature from the central control unit and controlling the cooling / heating unit based on the target room temperature; And a pollution degree controller for receiving the target indoor pollution degree from the central control unit and controlling the ventilation apparatus based on the target indoor pollution degree, wherein the central control unit controls the indoor air temperature and indoor pollution degree within the upper and lower limits
  • the target indoor temperature and the target indoor pollution degree for each of the first time intervals over a second time interval are derived so as to minimize the objective function of the predetermined second time interval.
  • the basic data may include building energy usage amount, weather forecast information, and redundant personnel prediction information.
  • the central control unit may include: a basic data receiving unit for receiving the basic data; An environment information collecting unit for collecting environment information of indoor and outdoor buildings; A predictor for deriving the thermal information prediction data and the ventilation information prediction data based on the basic data; And a calculation unit for deriving the target room temperature and the target indoor pollution degree based on the predicted data of the predictor, data on a predetermined thermal equilibrium relationship, and data on a predetermined ventilation equilibrium relationship.
  • the weather forecast information includes temperature forecast information; And cloud forecasting information, wherein the predicting unit comprises: a basic information predicting unit for deriving the ambient temperature prediction information and the solar radiation amount prediction information based on the basic data; A thermal information predicting unit for deriving thermal prediction information and calorific relation prediction information of the building; And a ventilation information predicting unit for deriving ventilation prediction information of the building.
  • the thermal information predicting unit may include an external influent calorie predicting unit for deriving external influent calorie prediction information based on the irradiation amount prediction information and the ambient temperature prediction information; A redundancy room generation calorie prediction unit for deriving redundancy staff generation calorie prediction information based on the redundancy staff prediction information; And a ventilator calorie prediction unit for deriving ventilator calorific value predictive information based on the ventilator predictive information of the ventilator that is operated to reach the predicted ambient temperature, the target indoor temperature, and the target indoor air pollution degree .
  • the ventilation information predicting unit may include a ventilator volume predicting unit for predicting the ventilator ventilatory volume predicting information based on the prospective occupant ventilatory predicting information.
  • the calculation unit may include: loading data on the thermal equilibrium relationship of the building; Applying the thermal prediction information and the calorific relation prediction information derived from the thermal information prediction unit to the data on the thermal equilibrium relationship; Loading data on ventilation equilibrium relationship of the building interior; Applying ventilation prediction information derived from the ventilation information predicting unit to data on the ventilatory balance relationship; And the target indoor temperature and the target indoor air pollution degree capable of minimizing the objective function in the second time interval, while simultaneously considering the thermal equilibrium relationship and the ventilation equilibrium relationship at a predetermined first time interval, And deriving for each of the first time intervals over a second time interval within the upper and lower limits of the indoor pollution degree.
  • the thermal equilibrium relationship is set such that the amount of temperature change in the building room at the predetermined first time interval is the amount of heat generated by the heat exchanger with the outside environment, And a relationship determined based on the amount of heat generated by the heat exchange with the outside air and the amount of heat generated by the occupant of the room according to the operation of the ventilator.
  • the ventilation equilibrium relationship is set such that the amount of change in the degree of contamination of the building room at the predetermined first time interval is caused by the ventilation amount and the room occupancy in accordance with the operation of the ventilator at the predetermined first time interval And a relationship that is determined based on the volume of breath.
  • the objective function may include an energy consumption amount depending on the operation of the air conditioner and the ventilator at a second time interval, or a cost for the energy consumption amount.
  • the objective function is an amount of energy used by the operation of the air conditioner, the ventilator, the lighting in the building, and the appliance in the building at a second time interval; And the energy consumption of the entire building based on the energy production amount of the energy production facility of the building or the cost of the energy consumption of the entire building.
  • a building energy management system comprising: a building to be controlled includes an air conditioner, a ventilator, a storage tank, and a solar collector, receives basic data from the outside, A target indoor temperature of the building, a target indoor pollution level, and a target storage tank temperature of the storage tank; A room temperature regulator that receives the target indoor temperature from the central control unit and controls the thermal storage tank based on the target indoor temperature; A pollution degree controller for receiving the target indoor pollution degree from the central control unit and controlling the ventilation device based on the target indoor pollution degree; And a storage tank temperature controller for receiving the target storage tank temperature from the central control unit and controlling the cooling / heating unit based on the target storage tank temperature, wherein the basic data includes building energy use amount, weather forecast information, And the central control unit is operable to control the temperature of the indoor air in the first time interval over the second time interval to minimize the objective function of the predetermined second time interval within the upper and lower limits of the predetermined room temperature,
  • the central control unit may include: a basic data receiving unit for receiving the basic data; An environment information collecting unit for collecting environment information of indoor and outdoor buildings; A predictor for deriving the thermal information prediction data and the ventilation information prediction data based on the basic data; And a calculation unit for deriving the target room temperature, the target indoor pollution degree, and the target storage tank temperature based on the predicted data of the predictor, data on a predetermined thermal balance relationship, and data on a predetermined ventilation equilibrium relationship .
  • the weather forecast information includes temperature forecast information; And cloud forecasting information, wherein the predicting unit comprises: a basic information predicting unit for deriving the ambient temperature prediction information and the solar radiation amount prediction information based on the basic data; A thermal information predicting unit for deriving thermal prediction information and calorific relation prediction information of the building; And a ventilation information predicting unit for deriving ventilation prediction information of the building, wherein the thermal information predicting unit is configured to predict the external influent calorie prediction based on the solar radiation amount prediction information and the ambient temperature prediction information, part; A redundancy room generation calorie prediction unit for deriving redundancy staff generation calorie prediction information based on the redundancy staff prediction information; A ventilator calorie prediction unit for deriving ventilator calorific value prediction information based on ventilation amount prediction information of the ventilator which is operated to reach the target ambient temperature and the target indoor air pollution degree; And a heat collector calorie predicting unit for deriving heat radiator calorie prediction information based on the irradiation target prediction information, the ambient temperature prediction
  • the calculation unit may include: loading data on a thermal balance relationship between the building and a thermal storage tank; Applying thermal prediction information and caloric-relation prediction information derived from the thermal information predicting unit to data on a thermal equilibrium relationship of the building and a thermal equilibrium relation of the thermal storage tank; Loading data on the ventilation equilibrium relationship of the building; Applying ventilation prediction information derived from the ventilation information predicting unit to data on the ventilatory balance relationship;
  • the target indoor temperature, the target indoor temperature, and the target indoor temperature which can minimize the objective function in the second time interval, while considering the thermal equilibrium relationship of the building interior, the thermal equilibrium relationship of the storage tank,
  • the thermal equilibrium relationship of the building interior is determined such that the temperature change amount of the building room at the predetermined first time interval is a heat amount due to heat transfer with the external environment at the predetermined first time interval, And a relationship determined based on the amount of heat generated by the heat exchange with the outside air, the amount of heat generated by the occupant, and the amount of heat flowing into the building room from the heat storage tank, and the thermal equilibrium relationship of the heat storage tank
  • the temperature change amount in the heat storage tank at the first time interval includes a relationship that is determined based on the amount of heat input from the solar collector, the amount of heat input / output from the cooling / heating unit, and the amount of heat flowing / can do.
  • the ventilation equilibrium relationship is set such that the amount of change in the degree of contamination of the building room at the predetermined first time interval is caused by the ventilation amount and the room occupancy in accordance with the operation of the ventilator at the predetermined first time interval And a relationship that is determined based on the volume of breath.
  • the objective function may include an energy consumption amount depending on the operation of the air conditioner and the ventilator at a second time interval, or a cost for the energy consumption amount.
  • the objective function is an amount of energy used by the operation of the air conditioner, the ventilator, the lighting in the building, and the appliance in the building at a second time interval; And the energy consumption of the entire building based on the energy production amount of the energy production facility of the building or the cost of the energy consumption of the entire building.
  • a system and method for receiving a basic data including an energy usage amount of a building and weather forecast information from an external server or a home network system The target indoor pollution degree and the target heat storage tank temperature are derived, and the energy of the building can be efficiently managed.
  • the effect of predicting the ambient temperature and the solar radiation amount of the control target building from the basic data including the weather forecast information and the like can be achieved through the prediction model based on the past environmental information of the building.
  • the thermal information and the ventilation information of the building can be predicted from the basic data including the weather forecast information or the like through the thermal load or the ventilation load model of the building.
  • FIG. 1 is a schematic view of a building energy management system according to an embodiment of the present invention.
  • FIG. 2 is a schematic view illustrating a heat transfer and ventilation structure of a building energy management system according to an embodiment of the present invention.
  • FIG. 3 is a block diagram schematically illustrating an internal configuration of a central control unit according to an embodiment of the present invention.
  • FIG. 4 is a block diagram schematically illustrating an internal configuration of a prediction unit according to an embodiment of the present invention.
  • FIG. 5 is a view schematically showing the operation of the ambient temperature predicting unit according to an embodiment of the present invention.
  • FIG. 6 is a view schematically showing the operation of the irradiation dose predicting unit according to an embodiment of the present invention.
  • FIG. 7 is a diagram schematically illustrating the operation of the loud room information predicting unit according to an embodiment of the present invention.
  • FIG. 8 is a diagram schematically showing the operation of the column information predicting unit according to an embodiment of the present invention.
  • FIG. 9 is a view schematically showing the operation of the ventilation information predicting unit according to an embodiment of the present invention.
  • FIG. 10 is a view schematically showing operation steps of a calculation unit according to an embodiment of the present invention.
  • FIG. 11 is a view schematically showing a building energy management system according to another embodiment of the present invention.
  • FIG. 12 is a view schematically showing a heat transfer and ventilation structure of a building energy management system according to another embodiment of the present invention.
  • FIG. 13 is a block diagram schematically showing an internal configuration of a prediction unit according to another embodiment of the present invention.
  • FIG. 14 is a view schematically showing the operation of the heat collector calorie predicting unit according to another embodiment of the present invention.
  • FIG. 15 is a view schematically showing operation steps of a calculation unit according to another embodiment of the present invention.
  • FIG. 15 is a view schematically showing operation steps of a calculation unit according to another embodiment of the present invention.
  • FIG. 16 is a graph showing the result of derivation of the target room temperature and the target indoor pollution degree according to an embodiment of the present invention.
  • 17 is a graph showing an ambient temperature prediction result of the ambient temperature predicting unit according to an embodiment of the present invention.
  • FIG. 18 is a graph showing a result of solar radiation amount prediction of the solar radiation amount predicting unit according to an embodiment of the present invention.
  • an embodiment, “ an embodiment, “ an embodiment, “” an embodiment, etc. are intended to indicate that any aspect or design described is better or worse than other aspects or designs.
  • the terms 'component', 'module', 'system', 'interface', etc. used in the following generally refer to a computer-related entity, And a combination of software and software.
  • first, second, etc. may be used to describe various elements, but the elements are not limited to these terms. The terms are used only for the purpose of distinguishing one component from another.
  • first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.
  • / or < / RTI &gt includes any combination of a plurality of related listed items or any of a plurality of related listed items.
  • FIG. 1 is a schematic view of a building energy management system according to an embodiment of the present invention.
  • the present invention can be applied not only to a renewable energy system having a renewable energy element but also to a general building energy system having no renewable energy element.
  • the temperature and room condition control method in the renewable building energy system according to an embodiment of the present invention is performed by a building energy management system described later.
  • a building energy management system includes an external server 1100, a home network system 1200, a central control unit 2000, a temperature controller 3100, a pollution degree controller 3200, (4100), and a ventilator (4200).
  • the external server 1100 and the home network system 1200 collect basic data necessary for the operation of the building energy management system of the present invention and store the basic data.
  • the basic data may include energy consumption of a building, weather forecast information, and prediction of occupancy numbers.
  • the central control unit 2000 receives basic data from an external server 1100 or the home network system 1200 and derives a target indoor temperature and a target indoor pollution degree of the building according to a predetermined first time interval.
  • the first time interval is set to 1 hour so as to derive the target indoor temperature and the target indoor air pollution degree every hour, and to control the air conditioner 4100 and the ventilator 4200 do.
  • the central control unit derives a target indoor temperature and a target indoor pollution degree for a period corresponding to the received basic data, and the temperature controller and the pollution degree controller operate according to the derived target indoor temperature and target indoor pollution degree.
  • the temperature controller 3100 receives the target room temperature from the central controller 2000 and controls the air conditioner 4100 based on the target room temperature.
  • the pollution degree controller 3200 receives the target indoor pollution degree from the central control unit 2000 and controls the ventilator 4200 based on the target indoor pollution degree.
  • the temperature controller 3100 and the pollution degree controller 3200 receive the sensed actual indoor temperature and the indoor pollution degree as feedback signals, respectively, and perform feedback control so as to reach the target indoor temperature and the target indoor pollution degree, respectively.
  • the indoor pollution degree in the pollution degree controller preferably includes CO 2 concentration information, and may include concentration of other gaseous substances, concentration of fine dust, and the like.
  • the cooling / heating unit 4100 controls the temperature of the building interior under the control of the temperature controller 3100.
  • Such an air conditioner supplies energy to the inside of a building by receiving an energy source such as electricity, gas, or oil, or controls the temperature by absorbing heat in a room.
  • the central control unit 2000 receives environment information such as the weather forecast information and the room occupancy prediction information from the external server 1100 or the home network system 1200 with respect to the air conditioner 4100 and the ventilator 4200 installed in the building And a control unit configured to receive the basic data including the basic data and the ventilation equilibrium relationship of the building to minimize an objective function of a predetermined second temperature interval within a predetermined temperature range and a preset contamination degree range based on the basic data, The target indoor temperature and the target indoor pollution degree are derived.
  • the objective function may include an energy consumption or cost of the cooling / heating unit 4100 and the ventilator 4200, or an energy consumption or cost of the entire building.
  • the central control unit 2000 may derive the target indoor temperature and the target indoor pollution degree that minimizes the objective function of the second time interval by applying an optimization technique within the upper and lower limits of the predetermined indoor temperature and indoor pollution degree do.
  • the second time interval is set to 24 hours, and the target indoor temperature and the target indoor pollution degree, which can minimize energy consumption or cost for 24 hours, are derived according to the first time interval.
  • the objective function may be a charge based on energy usage or energy usage.
  • the energy charge standard according to time may be applied.
  • FIG. 2 is a schematic view illustrating a heat transfer and ventilation structure of a building energy management system according to an embodiment of the present invention.
  • FIG. 2 is a simplified model of the building energy management system and the heat transfer and ventilation structure of a building according to an embodiment of the present invention.
  • the interior of the building is supplied with thermal energy of Q 1 (calorific value of the air conditioner) through the air conditioner 4100 under the control of the temperature controller 3100.
  • Q 1 may be expressed as a negative number.
  • the Q1 may be changed according to the control of the temperature controller 3100.
  • the interior of the building is supplied with thermal energy of Q 2 (external heat input) from the external environment.
  • the Q 2 may be transferred in the form of radiant energy from the sun or in the form of conduction through a building wall or the like and includes heat transfer due to settling or leakage of outside air through the gaps of the building.
  • Q 2 like Q 1 , Q 2 can be expressed as a negative number if the outside temperature is lower than the room temperature and absorbs the heat in the room.
  • the interior of the building is supplied with thermal energy of Q 3 (the amount of calories generated) from electrical equipment such as a room or a computer or a lamp in a room. Since Q 3 generally increases as the number of staff members increases, Q 3 can be predicted by estimating the number of staff members.
  • Q3 is expressed as the calorific value generated by the occupant, but it also includes the calorific value generated by the electric appliance in the room.
  • the interior of the building is supplied with thermal energy of Q 4 (heat quantity of the ventilation device) from the outside air introduced while the ventilator 4200 under the control of the pollution degree controller 3200 makes ventilation.
  • Q 4 heat quantity of the ventilation device
  • the air conditioner 4100 and the ventilator 4200 receive energy from an external energy supply source 5000 and perform an operation.
  • the external energy supply source 5000 may include electric energy supplied from an external power line and / or gas supplied from the outside and used in the cooling / heating unit 4100 from a power plant or the like.
  • the external energy supply source 5000 supplies the electric energy supplied by the energy generation facility .
  • the energy production facility includes an energy storage device capable of storing the produced energy, thereby efficiently managing the produced energy and the consumed energy.
  • the energy storage device may comprise a battery or the like.
  • the relationship between Q 1 , Q 2 , Q 3 and Q 4 and the room temperature T z can be derived by modeling the flow of heat energy in the building.
  • the temperature change amount dT z of the building room at a predetermined time interval is calculated by dividing the heat amount Q 1 (k) by the cooling / heating unit 4100 in the predetermined time interval ), amount of heat due to heat transfer to the outside environment (Q 2), based on the amount of heat (Q 3) generated by the heat exchange amount of heat (Q 4) and occupied person by the outside air, and in accordance with the operation of the ventilation device (4200) .
  • C p, z is the heat capacity of the building.
  • the interior of the building is exchanged with the outside air by the amount of ventilation V 4 to be exchanged while the ventilator 4200 under the control of the pollution degree controller 3200 performs ventilation.
  • the discharged indoor air contains pollutants at the concentration of C z
  • the incoming outdoor air contains pollutants at a concentration of C o .
  • the ventilator 4200 may contain only a very low concentration of contaminants by filtering contaminants through a filter or the like.
  • the C o can be approximated to zero.
  • the interior of the building so the indoor pollution level is changed according to the amount of pollutants discharged due to ventilation of pollutants and ventilation device (4200) is discharged from the respiration of a person, of the V 3, V 4 and the indoor pollution C z through which A relational expression can be derived.
  • the pollution degree change amount dCz of the building interior at a predetermined time interval is calculated by dividing the ventilation amount (dC z ) by the operation of the ventilator 4200 in a predetermined time interval V 4 ) and the volume of breath (V 3 ) generated by the occupant.
  • the relational expression of the amount of change in pollution degree, the amount of ventilation, and the amount of respiration in the building is as follows.
  • V z is the volume of the building interior
  • V 3 is the ventilation volume of the occupant in the building
  • C 3 is the concentration of the contaminant contained in the respiration of the person. The above-mentioned C 3 can be determined experimentally.
  • FIG. 3 is a block diagram schematically illustrating an internal configuration of a central control unit according to an embodiment of the present invention.
  • the central control unit 2000 includes a basic data receiving unit 2100, an environment information collecting unit 2200, a predicting unit 2300, and a calculating unit 2400 according to an embodiment of the present invention.
  • the basic data receiving unit 2100 receives basic data from the outside.
  • the basic data may include weather prediction information and loudspeaker prediction information.
  • the basic data receiving unit 2100 may collect only the weather forecast information, and the predictor 2300 may perform the prediction.
  • the environment information collecting unit 2200 collects environmental information of the inside and outside of the building. According to an embodiment of the present invention, the environment information collecting unit 2200 collects environmental information, so that the weather forecasting or residence time prediction information of the basic data can be compared with the actual environment information, It is possible to further improve the accuracy of the prediction.
  • the predicting unit 2300 derives the column information prediction data and the ventilation information prediction data based on the basic data. Since the basic data received from the outside includes weather forecast information for a wide area as information including weather forecast information and loudspeaker prediction information and the like, it is possible to predict from the basic data to the control target building It is possible to more efficiently derive the target indoor temperature and the target indoor pollution degree by predicting the indoor and surrounding weather information and the like.
  • the calculation unit 2400 derives the target room temperature and the target indoor pollution degree based on the predicted data of the predictor, data on the predetermined thermal equilibrium relationship, and data on the predetermined ventilation equilibrium relationship.
  • the target room temperature and the target indoor pollution degree are derived for the first time interval so that the objective function can be minimized for the second time interval with the total energy use or total energy cost of the building as the objective function.
  • the calculation unit 2400 can calculate the energy consumption of lighting and electrical products consumed in the building in addition to the energy consumption of the air conditioner and the ventilator, and the amount of electric energy produced by the energy production facility, such as a solar power generator installed in the building, .
  • the objective function may be a total energy use amount of the building based on the energy consumption of the air conditioner, the ventilator, the lighting in the building and the electric appliance in the building and the energy production amount of the energy production facility in the second time interval, Of the energy consumption of the < / RTI >
  • the energy output of an energy production facility is calculated to reduce the energy usage.
  • the energy consumption of the lighting in the building and the electrical product in the building can be predicted based on the occupancy prediction information in the occupancy prediction unit of the prediction unit 2300, and the amount of electric energy production of the photovoltaic generator can be predicted by the prediction unit 2300 Based on the irradiation amount prediction information of the irradiation amount predicting unit 2312 of FIG.
  • FIG. 4 is a block diagram schematically illustrating an internal configuration of a prediction unit according to an embodiment of the present invention.
  • the predicting unit 2300 includes a basic information predicting unit 2310 for deriving the ambient temperature predicting information and the irradiation amount predicting information based on the basic data, A thermal information predicting unit 2320 for deriving the caloric-relation prediction information, and a ventilation information predicting unit 2330 for deriving ventilation prediction information of the building.
  • the basic information predicting unit 2310 includes an ambient temperature predicting unit 2311 for predicting the ambient temperature predicting information based on the basic data received from the outside, an illuminance predicting unit 2311 for predicting the illuminance predicting information based on the basic data received from the outside, A prediction unit 2312 for estimating a room occupancy of a building and a room estimation unit 2313 for predicting a room occupancy of a building.
  • the basic data may include weather forecast information and loudspeaker forecast information, and the weather forecast information may include temperature forecast information and cloud forecast information.
  • the basic data does not include the redundant staff prediction information, and the redundant room prediction unit 2313 may predict the redundant staff.
  • the basic information prediction unit 2310 can derive the ambient temperature prediction information and the irradiation amount prediction information based on the basic data received from the outside.
  • the ambient temperature predicting unit 2311 and the solar radiation amount predicting unit 2312 receive the temperature forecast information and the cloud forecast information, respectively, and predict the ambient temperature and the solar radiation amount of each building through a prediction model through past information learning.
  • the basic information prediction unit 2310 may include a room information prediction unit 2313 to estimate a room occupancy based on past information.
  • the losable information prediction unit 2313 can predict the losers of the building by time zone based on the past day, the loser information by time, and the like.
  • the basic information predicting unit 2310 may estimate the occupancy number of the building by receiving the occupancy prediction information of the building through an external home network system or the like without predicting the occupancy number of the building.
  • the thermal information predicting unit 2320 includes an external influent calorie predicting unit 2321 for deriving the external influent calorie predicting information based on the irradiation amount predicting information and the ambient temperature predicting information, Based on the predicted room-temperature-calorie-calorie-estimating unit 2322 for deriving calorie prediction information and the ventilation-amount prediction information of the ventilator 4200, which is activated to reach the target indoor temperature and the target indoor pollution degree, And a ventilator caloric value predicting unit 2323 for deriving ventilator caloric value relationship prediction information.
  • the thermal information predicting unit 2320 estimates the external influent calorific value Q 2 and the occupant calorific value heat generation amount Q based on the ambient temperature prediction information predicted by the basic information prediction unit 2310, 3 ) and the ventilator heat quantity (Q 4 ) can be predicted.
  • the thermal information predicting unit 2320 establishes a thermal load model such as heat resistance of walls and windows of a building, heat capacity of a room, heat input through inflow of outside air into the room due to ventilation, And the calorific value relationship prediction information.
  • the ventilation information predicting unit 2330 includes a predicting unit 2331 for predicting the occupant's respiration amount prediction information based on the predicted occupant space prediction information.
  • the ventilation information predicting unit 2330 can predict the occupant's respiration amount based on the predicted occupant information predicted by the predicted information predicting unit 2310 or received from the outside.
  • FIG. 5 is a view schematically showing the operation of the ambient temperature predicting unit according to an embodiment of the present invention.
  • the ambient temperature estimating unit 2311 inputs temperature forecast information to a prediction model based on past forecast information and past actual information to derive ambient temperature prediction information.
  • the ambient temperature prediction unit 2311 receives temperature-based temperature forecast information as shown in FIG.
  • the temperature forecast information can be acquired and input from weather forecast information such as weather station.
  • the ambient temperature prediction unit 2311 compares the weather forecast information of the area where the control target building is located with the ambient temperature information of the actual building through the difference between the past forecast information and the past actual information, You can learn the relationship to information.
  • Such past forecast information and past actual information may be provided from the environment information collection unit 2200.
  • the ambient temperature predicting unit 2311 predicts the ambient temperature continuously or predicts the ambient temperature according to a predetermined time interval.
  • FIG. 6 is a view schematically showing the operation of the irradiation dose predicting unit according to an embodiment of the present invention.
  • the solar radiation amount predicting unit 2312 inputs cloud prediction information to a prediction model based on past forecast information and past actual information to derive solar radiation prediction information.
  • the irradiation-dose predicting unit 2312 obtains forecast information on the solar radiation amount through the maximum irradiation amount and cloud forecast information according to the position of the sun, And the relationship between the cloud forecast information and the actual solar radiation can be learned.
  • Such past forecast information and past actual information may be provided from the environment information collection unit 2200.
  • the irradiance predicting unit 2312 may predict the radiation dose continuously or predict the radiation dose according to a predetermined time interval.
  • FIG. 7 is a diagram schematically illustrating the operation of the loud room information predicting unit according to an embodiment of the present invention.
  • the occupancy information prediction unit 2313 derives the occupancy prediction information based on the past actual information.
  • the waiting room prediction unit 2313 can estimate the sleeping room occupancy based on the past occupancy information of the building in the past for a specific day of the week and a specific time.
  • the residence of residents may be regularized according to the day of the week according to the living pattern of residents, etc., and the redundancy prediction unit 2313 predicts, It is possible to grasp the pattern, and to derive the future losing person prediction information based on the pattern.
  • the loser information prediction unit 2313 may predict and derive a loser capacity according to a predetermined time interval, or predict a loser capacity continuously according to time.
  • FIG. 8 is a diagram schematically showing the operation of the column information predicting unit according to an embodiment of the present invention.
  • an external influent calorie predicting unit 2321 derives external influent calorie predicting information based on ambient temperature prediction information and SAR value prediction information.
  • the external influent calorie predicting unit 2321 can derive the external influent calorie amount Q 2 based on the ambient temperature, the irradiation amount, and the room temperature through the thermal load model of the controlled building.
  • the incoming external heat input can be expressed as:
  • T o is the ambient temperature
  • T z is the room temperature
  • R w is the thermal resistance of the wall
  • S r is the solar radiation
  • Q s is the solar radiation heat through the window.
  • the T o, and wherein S r is the predicted ambient temperature prediction information and solar radiation forecasts the basic information prediction unit 2310, the R w and Q s are empirically, or can be measured or derived from past experience information .
  • the external influent calorie predicting unit 2321 can express the external influent calorific value Q 2 as a function of the indoor temperature (T z ) based on the input ambient temperature prediction information and the solar radiation amount prediction information.
  • the occupant calorie calorie calorie predicting unit 2322 derives the calorie calorie calorie predictive information based on the laura capacity prediction information.
  • the redundancy room calorie calorie prediction unit 2322 can derive the redundancy calorie generation amount Q 3 based on the redundancy room prediction information in the building.
  • the occupant calories Q 3 can be expressed by the following equation (5).
  • n occupied persons forecasts
  • Q m is the average calorific value of men and women in accordance with the room temperature.
  • the Q m can be measured or inferred experimentally or statistically.
  • the ventilator calorie predicting unit 2323 derives external influent calorie prediction information based on the ambient temperature prediction information, the target indoor temperature, and the ventilation amount prediction information.
  • the ventilator calorie predicting unit 2323 can derive the ventilator calorie amount Q 4 based on the ambient temperature, the room temperature, and the ventilation amount through the thermal load model of the ventilator 4200 .
  • the heat inflow through the ventilator can be expressed by the following equation (6).
  • sup is the temperature of the ventilation air supplied to the room from the ventilator 4200.
  • the temperature of the ventilation air can be derived from the ventilation device heat exchange utility coefficient (? 4 ).
  • Equation (9) can be derived from Equations (6) and (8).
  • the heat exchange utility coefficient (? 4 ) of the ventilator (420) can be measured experimentally.
  • the ventilator calorie predicting unit 2323 can express the ventilator calorie amount Q4 as a function of the room temperature and the ventilation amount based on the inputted ambient temperature prediction information and the ventilation amount predicting information.
  • FIG. 9 is a view schematically showing the operation of the ventilation information predicting unit according to an embodiment of the present invention.
  • the occupant's respiration amount predicting unit 2331 can derive the occupant's respiratory amount (V 3 ) based on the occupant's room occupancy prediction information.
  • the occupational calorie calorie (V 3 ) can be expressed by the following equation (10).
  • n is the predictor of occupancy and V m is the average volume of adult male and female.
  • the V m can be measured or inferred experimentally or statistically.
  • the occupant's respiration amount predicting unit 2331 can derive the occupant's respiratory amount (V 3 ) based on the inputted occupant's presence prediction information.
  • FIG. 10 is a view schematically showing operation steps of a calculation unit according to an embodiment of the present invention.
  • the calculation unit 2400 performs a step S100 of loading data on the thermal equilibrium relationship of the building.
  • the thermal equilibrium relation of the building interior can be expressed by Equation (1).
  • the calculation unit 2400 performs step S200 of applying the thermal prediction information and the calorie-related prediction information derived from the thermal information prediction unit 2320 to the data on the thermal equilibrium relationship.
  • the calculation unit 2400 may derive Equation (11) by applying Equation (4), Equation (5), and Equation (9) to Equation (1).
  • the calculation unit 2400 also performs a step S300 of loading data on the ventilation equilibrium relationship of the building.
  • the ventilation equilibrium relation of the building interior can be expressed by Equation (3).
  • the calculation unit 2400 applies the ventilation prediction information derived from the ventilation information predicting unit 2330 to the data on the ventilation equilibrium relationship (S400).
  • the calculation unit 2400 may derive Equation (12) by applying Equation (10) to Equation (3).
  • Equation (12) The function of time in each variable of Equation (12) can be expressed by applying the time variable t to Equation (13).
  • the loudspeaker capacity prediction information can be input from the prediction unit 2300 or the basic data receiving unit 2100, so that Expression 13 becomes a relational expression between the indoor pollution degree C z and the ventilation amount V 4 .
  • the calculating unit 2400 calculates the target indoor temperature and the target indoor temperature at which the objective function can be minimized in the second time interval while simultaneously considering the thermal equilibrium relationship and the ventilatory equilibrium relationship at a predetermined first time interval.
  • the step S500 of deriving the indoor pollution degree within the upper and lower limits of the predetermined indoor temperature and indoor pollution degree is performed.
  • the calculation unit 2400 may derive the room temperature (T z ) and the indoor pollution degree (C z ) simultaneously satisfying the equations (11) and (13) do. At this time, it is impossible to determine the room temperature (T z ) and the indoor pollution degree (C z ) satisfying the above-mentioned expressions 11 and 13 only with the prediction information of the prediction unit 2300. However, the calculation unit 2400 according to an embodiment of the present invention calculates the indoor temperature T z and the indoor pollution degree C z in such a manner as to derive the target indoor temperature and the target indoor pollution degree that can minimize the specific objective function .
  • the target indoor temperature and the target indoor pollution degree are derived for each of the first time intervals over a predetermined second time interval.
  • the objective function may include an energy usage amount or a cost according to the operation of the air conditioner 4100 and the ventilator 4200.
  • ventilators, lighting consumed in buildings and energy consumption of appliances can be calculated and included, and the amount of electric energy produced by energy production facilities such as photovoltaic generators installed in buildings can also be included. That is, the objective function may be a total energy use amount of the building based on the energy consumption of the air conditioner, the ventilator, the lighting in the building and the electric appliance in the building and the energy production amount of the energy production facility in the second time interval, Of the energy consumption of the < / RTI > The energy output of an energy production facility is calculated to reduce the energy usage.
  • the energy consumption of the lighting in the building and the electrical product in the building can be predicted based on the occupancy prediction information in the occupancy prediction unit of the prediction unit 2300, and the amount of electric energy production of the photovoltaic generator can be predicted by the prediction unit 2300 Based on the irradiation amount prediction information of the irradiation amount predicting unit 2312 of FIG.
  • the target amount of charge of the battery which is the energy storage device of the energy production facility, that minimizes the objective function may be derived to control the charge amount.
  • the indoor air temperature T z , the indoor air pollution degree C z , the cooling / heating calorie quantity Q 1 , and the ventilation rate Q 1 for example, when the objective function is the energy consumption according to the operation of the air conditioner 4100 and the ventilator 4200.
  • V 4 the cooling / heating value Q 1 and the ventilation amount V 4 can be expressed by the objective function.
  • the calculation unit 2400 can derive the room temperature (T z ) and the indoor pollution degree (C z ) that minimize the objective function within the range of the predetermined indoor temperature and indoor pollution degree .
  • FIG. 11 is a view schematically showing a building energy management system according to another embodiment of the present invention.
  • a building energy management system includes an external server 1100, a home network system 1200, a central control unit 2000, a room temperature controller 3110, a pollution degree controller 3200, A heat storage tank temperature regulator 3300, a cooling / heating device 4110, a ventilator 4200, and a heat storage tank 4300.
  • the external server 1100, the home network system 1200, the central control unit 2000, the pollution degree controller 3200 and the ventilator 4200 are the same as those shown in FIG.
  • the cooling / heating unit 4110 supplies heat energy directly to the room or absorbs heat energy from the room, so that the heat storage tank 4300 can supply heat energy to the room or absorb heat energy from the room. (4300) or absorb thermal energy from the thermal storage tank (4300).
  • the central control unit 2000 receives the basic data from the external server 1100 or the home network system 1200 and stores the target indoor temperature, the target indoor pollution level, and the target storage tank temperature of the building at a predetermined first time interval .
  • the target indoor temperature, the target indoor air pollution degree, and the target heat storage tank temperature are derived every time the first time interval is set to 1 hour, and the air conditioning unit 4110, the ventilator 4200, So that the heat storage tank 4300 can be controlled.
  • the room temperature controller 3110 receives the target indoor temperature from the central control unit 2000 and controls the thermal storage tank 4300 based on the target indoor temperature.
  • the regenerator temperature regulator 3300 receives the target regenerator temperature from the central control unit 2000 and controls the cooling / heating unit 4110 based on the target regenerator temperature.
  • the room temperature regulator 3110 and the regenerator temperature regulator 3300 preferably receive the sensed actual room temperature and the regenerator temperature as feedback signals, respectively, and perform feedback control so as to reach the target indoor temperature and the target regenerator temperature, respectively Do.
  • the thermal storage tank 4300 can store thermal energy.
  • the thermal storage tank 4300 may store the solar energy collected through the Taeyoung heat collector or the like, or may store thermal energy transmitted through the cooling / heating unit 4110 or the like.
  • the thermal storage tank 4300 can discharge the stored thermal energy to the building or absorb the thermal energy from the building to control the temperature of the building. At this time, the thermal storage tank 4300 can supply thermal energy to the building interior by supplying the fluid having the thermal energy stored therein through a pipe connected to the room.
  • the central control unit 2000 receives the weather forecast information and the prediction of the room occupancy from the external server 1100 or the home network system 1200 with respect to the air conditioner 4110, the ventilator 4200 and the heat storage tank 4300 installed in the building, , Indoor pollution degree and temperature of the storage tank are calculated based on the basic data and the thermal equilibrium relationship of the building, the thermal equilibrium relationship of the storage tank and the ventilation equilibrium relation of the building.
  • the target indoor temperature, the target indoor pollution degree, and the target storage tank temperature are derived for each of the first time intervals over a predetermined second time interval so as to minimize the objective function of the predetermined second time interval within the upper and lower limits, do.
  • the objective function may include an energy usage amount or a cost according to the operation of the cooling / heating unit 4110, the ventilator 4200, and the storage tank 4300.
  • the energy consumed by the building lighting and appliances can be calculated and included, and the amount of electric energy produced by the energy production facility, such as the solar power generator installed in the building, can also be included. That is, the objective function is a function of the energy consumption of the entire building based on the energy consumption of the air conditioner, the ventilator, the heat storage tank, the lighting in the building, and the electric appliance in the building at the second time interval, And the cost of energy consumption of the entire building.
  • the energy output of an energy production facility is calculated to reduce the energy usage.
  • the energy consumption of the lighting in the building and the electrical product in the building can be predicted based on the occupancy prediction information in the occupancy prediction unit of the prediction unit 2300, and the amount of electric energy production of the photovoltaic generator can be predicted by the prediction unit 2300 Based on the irradiation amount prediction information of the irradiation amount predicting unit 2312 of FIG.
  • the central control unit 2000 controls the target indoor temperature, the target indoor air pollution degree, and the target indoor heat storage tank temperature that minimize the objective function in the second time interval to the upper and lower limits of the predetermined indoor temperature, the indoor pollution degree, Within the range, the optimization technique is applied for each of the first time intervals.
  • the second time interval is set to 24 hours, and the target indoor temperature, the target indoor pollution degree, and the target storage tank temperature, which can minimize the energy consumption or cost for 24 hours, The indoor pollution degree and the temperature of the storage tank over a first time interval over a second time interval of 24 hours.
  • FIG. 12 is a view schematically showing a heat transfer and ventilation structure of a building energy management system according to another embodiment of the present invention.
  • the building energy management system according to another embodiment of the present invention is modeled in order to understand the seasonality and ventilation structure of a building.
  • the heat storage tank 4300 is supplied with thermal energy of Q 1 (heat quantity of the cooling and heating apparatus) through the cooling / heating unit 4110 under the control of the storage tank temperature controller 3300. At this time, when the cooling / heating unit 4110 operates as a cooler and absorbs thermal energy of the heat storage tank, Q 1 can be expressed as a negative number. The Q 1 may be changed under the control of the regenerator temperature regulator 3300.
  • the interior of the building is supplied with thermal energy of Q 2 (external heat input) from the external environment.
  • the Q 2 may be transferred in the form of radiation from the sun, in the form of conduction through a building wall or the like, or may include heat transfer due to settling or leakage of outside air.
  • Q 2 Like Q 1 , Q 2 can be expressed as a negative number if the outside temperature is lower than the room temperature and absorbs the heat in the room.
  • the interior of the building is supplied with the thermal energy of Q 3 (calorie generated heat) from the room occupants in the building and the indoor electrical appliances such as a computer or a lamp. Since Q 3 generally increases as the number of staff members increases, Q 3 can be predicted by estimating the number of staff members.
  • Q3 is expressed as the calorific value generated by the occupant, but it also includes the calorific value generated by the electric appliance in the room.
  • the interior of the building is supplied with thermal energy of Q 4 (heat quantity of the ventilation device) from the outside air introduced while the ventilator 4200 under the control of the pollution degree controller 3200 makes ventilation.
  • Q 4 heat quantity of the ventilation device
  • the interior of the building is supplied with thermal energy of Q 5 (heat storage heat amount) through a heat storage tank 4300 under the control of the room temperature controller 3110.
  • Q 5 heat storage heat amount
  • the Q 5 if the storage tank temperature to absorb the heat energy of the building interior is lower than the temperature of the building interior can be represented by a negative number.
  • the heat storage tank 4300 receives the heat energy of Q 6 (heat of the heat collector) and the heat energy Q 1 (heat of the air conditioner) from the heat and cooler 4110 from the solar heat energy collected by the solar heat collector 5100.
  • Q 6 is the energy that the solar collector 5100 collects and supplies to the storage tank 4300 and
  • Q 1 is the energy that the cooling and heating apparatus 4110 supplies to the storage tank 4300 with the heat generated by the external energy supply.
  • the air conditioner 4100 and the ventilator 4200 receive energy from an external energy supply source 5000 and perform an operation.
  • the external energy supply source 5000 may include electric energy supplied from an external power line and / or gas supplied from the outside and used in the cooling / heating unit 4100 from a power plant or the like.
  • the external energy supply source 5000 supplies the electric energy supplied by the energy generation facility .
  • the energy production facility includes an energy storage device capable of storing the produced energy, thereby efficiently managing the produced energy and the consumed energy.
  • the energy storage device may comprise a battery or the like.
  • the temperature change amount dT z of the building interior at a predetermined time interval is calculated by dividing the heat amount Q 1 (k) by the cooling / heating unit 4110 in the predetermined time interval (Q 2 ) by heat transfer with the external environment, a heat amount (Q 4 ) by heat exchange with the outside air according to the operation of the ventilator (4200), a heat amount (Q 3 ) (Q 5 ) flowing into the building room from the heat storage tank 4300.
  • C p, z is the heat capacity of the building.
  • FIG. 13 is a block diagram schematically showing an internal configuration of a prediction unit according to another embodiment of the present invention.
  • the predicting unit 2300 includes a basic information predicting unit 2310 for deriving the ambient temperature predicting information and the irradiation amount predicting information based on the basic data, A thermal information predicting unit 2320 for deriving the caloric-relation prediction information, and a ventilation information predicting unit 2330 for deriving ventilation prediction information of the building.
  • the basic information predicting unit 2310 and the ventilation information predicting unit 2300 are the same as those shown in FIG. 4, and a detailed description thereof will be omitted.
  • the thermal information predicting unit 2320 includes an external influent calorie predicting unit 2321 for deriving the external influent calorie predicting information based on the irradiation amount predicting information and the ambient temperature predicting information, Based on the ventilation amount prediction information of the ventilator 4200 activated to reach the ambient temperature prediction information, the target indoor temperature, and the target indoor air pollution degree, A ventilator caloric value predicting unit 2323 for deriving ventilator calorific value predictive information, and a heat collector calorie predicting unit 2324 for deriving heat collector predictive information based on the irradiation amount prediction information, the ambient temperature prediction information and the target heat storage tank temperature, .
  • the thermal information predicting unit 2320 estimates the external influent calorific value Q 2 and the occupant calorific value heat generation amount Q based on the ambient temperature prediction information predicted by the basic information prediction unit 2310, 3 ) It is possible to predict the ventilation system heat quantity (Q 4 ), heat storage tank heat quantity (Q 5 ) and heat collector heat quantity (Q 6 ).
  • the thermal information predicting unit 2320 establishes a thermal load model such as heat resistance of walls and windows of a building, heat capacity of a room, heat input through inflow of outside air into the room due to ventilation, And the calorific value relationship prediction information.
  • FIG. 14 is a view schematically showing the operation of the heat collector calorie predicting unit according to another embodiment of the present invention.
  • a heat collector calorific value predicting unit 2324 derives the heat calorimeter predictive information based on the ambient temperature prediction information, the irradiation amount prediction information, and the target heat storage tank temperature or the current heat storage tank temperature.
  • the collector heat quantity predicting unit 2324 may derive the heat quantity Q 6 of the heat collector based on the ambient temperature, the irradiation amount, and the heat storage tank temperature through the heat load model of the heat collector 5100.
  • the collector 5100 can collect a large amount of solar energy as the solar radiation amount is high and the ambient temperature is high. The lower the temperature of the heat storage tank is, the more heat can be transferred to the storage tank.
  • the heat quantity Q collector 6 can be represented by a function Q c of the ambient temperature (T o), insolation (S r) and the heat storage tank temperature (T st).
  • the heat collector predictor 2324 can calculate the heat collector quantity Q 6 as a function of the heat accumulator temperature based on the received ambient temperature prediction information and the insolation predictive information.
  • FIG. 15 is a view schematically showing operation steps of a calculation unit according to another embodiment of the present invention.
  • FIG. 15 is a view schematically showing operation steps of a calculation unit according to another embodiment of the present invention.
  • a calculation unit 2400 performs a step (S110) of loading data on the thermal equilibrium relationship of the building and the thermal equilibrium relation of the thermal storage tank.
  • the thermal equilibrium relationship of the building can be expressed by Equation (14).
  • Equation (16) the thermal equilibrium relationship of the heat storage tank.
  • C p, st is the heat capacity of the storage tank 4300
  • T st is the temperature of the storage tank 4300.
  • the heat storage heat amount Q 5 is determined according to the temperature of the storage tank and the room temperature and the mass flow rate (m st ) of the fluid supplied to the room from the storage tank.
  • the calculation unit 2400 performs step S210 of applying the thermal prediction information and the calorie-related prediction information derived from the thermal information prediction unit 2320 to the data on the thermal equilibrium relationship.
  • the calculation unit 2400 can derive Equation (18) by applying Equations (4), (5), (9) and (17) to the Equation (14).
  • calculation unit 2400 may derive Equation (19) by applying Equation (15) and Equation (17) to Equation (16).
  • the ambient temperature prediction information and solar radiation prediction information may be input by the prediction unit 2300, the equation 19 is the room temperature (T z), heat storage tank temperature (T st), heat storage tank mass flow rate (m st), and Is a relational expression between the heat quantity of the cooling and heating apparatus (Q 1 ).
  • calculation unit 2400 loads the data on the ventilation equilibrium relation of the building interior (S310).
  • the ventilation equilibrium relation of the building interior can be expressed by Equation (3).
  • the calculation unit 2400 applies the ventilation prediction information derived from the ventilation information predicting unit 2330 to the data on the ventilation equilibrium relationship (S410).
  • the calculation unit 2400 may derive Equation (12) by applying Equation (10) to Equation (3).
  • Equation (12) The function of time in each variable of Equation (12) can be expressed by applying the time variable t to Equation (13).
  • the loudspeaker capacity prediction information can be input from the prediction unit 2300 or the basic data receiving unit 2100, so that Expression 13 becomes a relational expression between the indoor pollution degree C z and the ventilation amount V 4 .
  • the calculating unit 2400 may calculate the target indoor temperature, the target indoor temperature, and the target indoor temperature, which can minimize the objective function in the second time interval, while simultaneously considering the thermal equilibrium relationship and the ventilatory equilibrium relationship at a predetermined first time interval. (S510) of deriving the indoor pollution degree and the target heat storage tank temperature within the upper and lower limits of the predetermined room temperature, the indoor pollution degree, and the storage tank temperature, respectively.
  • the calculation unit 2400 calculates the room temperature (T z ), the indoor pollution degree (C z ), and the storage tank temperature (T st ) satisfying the equations (18), The target indoor temperature, the target indoor pollution degree, and the target heat storage tank temperature. At this time, it is possible to determine the room temperature (T z ), the indoor pollution degree (C z ) and the storage tank temperature (T st ) satisfying the equations (18), (19) and none. However, the calculation unit 2400 according to an embodiment of the present invention calculates the room temperature (T z ), the indoor pollution degree (T z ), and the indoor air pollution degree C z ) and the heat storage tank temperature (T st ).
  • the objective function may include an energy usage amount or a cost according to the operation of the cooling / heating unit 4110, the ventilator 4200, and the storage tank 4300.
  • the energy consumed by the building lighting and appliances can be calculated and included, and the amount of electric energy produced by the energy production facility, such as the solar power generator installed in the building, can also be included.
  • the objective function may be a total energy use amount of the building based on the energy consumption of the air conditioner, the ventilator, the lighting in the building and the electric appliance in the building and the energy production amount of the energy production facility in the second time interval, Of the energy consumption of the < / RTI >
  • the energy output of an energy production facility is calculated to reduce the energy usage.
  • the energy consumption of the lighting in the building and the electrical product in the building can be predicted based on the occupancy prediction information in the occupancy prediction unit of the prediction unit 2300, and the amount of electric energy production of the photovoltaic generator can be predicted by the prediction unit 2300 Based on the irradiation amount prediction information of the irradiation amount predicting unit 2312 of FIG.
  • the target charging power and the target discharging power of the battery which is an energy storage device of the energy production facility that minimizes the objective function, are set to the target indoor temperature, the target indoor air pollution degree, And the charging and discharging electric power can be controlled at the same time.
  • the indoor air temperature T z , the indoor air pollution degree C z , the temperature of the storage tank 4300, and the temperature of the indoor heat exchanger 4300, (T st), Cooling & Heating heat quantity (Q 1), a thermal storage tank mass flow rate (m st) and ventilation (V 4) the Cooling & Heating heat quantity (Q 1) in the relation between the heat storage tank the mass flow rate (m st) and ventilation (V 4) Can be expressed by the objective function.
  • the calculation unit 2400 calculates the room temperature T z , the indoor pollution degree C z , and the storage tank temperature T st that minimize the objective function using the optimization technique, Respectively.
  • FIG. 16 is a graph showing the result of derivation of the target room temperature and the target indoor pollution degree according to an embodiment of the present invention.
  • 17 is a graph showing an ambient temperature prediction result of the ambient temperature predicting unit according to an embodiment of the present invention.
  • FIG. 18 is a graph showing a result of solar radiation amount prediction of the solar radiation amount predicting unit according to an embodiment of the present invention.
  • a system and method for receiving a basic data including an energy usage amount of a building and weather forecast information from an external server or a home network system The target indoor pollution degree and the target heat storage tank temperature are derived, and the energy of the building can be efficiently managed.
  • the effect of predicting the ambient temperature and the solar radiation amount of the control target building from the basic data including the weather forecast information and the like can be achieved through the prediction model based on the past environmental information of the building.
  • the thermal information and the ventilation information of the building can be predicted from the basic data including the weather forecast information or the like through the thermal load or the ventilation load model of the building.
  • the steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two.
  • the software module may be a random access memory (RAM), a flash memory, a read only memory (ROM), a programmable read only memory (PROM), an erasable programmable read only memory (EPROM), an electrically erasable programmable read only memory (EEPROM) , A register, a hard disk, a removable disk, a compact disk read-only memory (CD-ROM), or any other form of computer readable medium known in the art.
  • the steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in a computer-readable medium embodied in computer-executable instructions.
  • computer readable media may be coupled to a processor such that the processor may read information from the computer readable medium and write data to the computer readable medium.
  • a computer-readable medium may be incorporated into the processor.
  • the processor and computer readable medium may reside in an application specific integrated circuit (ASIC).
  • the ASIC may reside in a computing device or user terminal.
  • the processor and computer readable medium may reside as discrete components in a computing device or user terminal.

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Abstract

La présente invention concerne un procédé, un système et un support lisible par ordinateur pour réguler des conditions de température et intérieures dans un système de bâtiment à énergie renouvelable. Un système de gestion d'énergie de bâtiment selon un mode de réalisation de la présente invention, dans lequel un bâtiment cible de régulation comprend un climatiseur et un ventilateur, comprend : une unité de commande centrale pour recevoir des données de base de l'extérieur et dériver une température intérieure cible et un niveau de pollution intérieure cible à des premiers intervalles de temps prédéfinis; un régulateur de température pour recevoir la température intérieure cible à partir de l'unité de commande centrale et commander le climatiseur sur la base de la température intérieure cible; et un régulateur de niveau de pollution pour recevoir le niveau de pollution intérieure cible de l'unité de commande centrale et commander le ventilateur sur la base du niveau de pollution intérieure cible.
PCT/KR2018/001277 2017-09-27 2018-01-30 Procédé, système et support lisible par ordinateur pour réguler des conditions de température et intérieures dans un système de bâtiment à énergie renouvelable WO2019066160A1 (fr)

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KR10-2017-0124820 2017-09-27

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KR102632447B1 (ko) * 2020-05-20 2024-02-02 오토시맨틱스 주식회사 딥러닝 기반 빌딩 에너지 관리방법 및 장치
CN112628900B (zh) * 2021-01-21 2022-02-22 中国建筑西北设计研究院有限公司 一种基于分区式能源站的区域供冷系统
WO2023038405A1 (fr) * 2021-09-08 2023-03-16 오토시맨틱스 주식회사 Dispositif et procédé pour générer un simulateur de chaleur de bâtiment

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KR20070080738A (ko) * 2006-02-08 2007-08-13 주식회사 엘지화학 창호용 자동 환기시스템
KR20110134803A (ko) * 2010-06-09 2011-12-15 엘지전자 주식회사 스마트 그리드 시스템 및 그 동작방법
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