EP1134508A2 - Méthode de commande de conditionnement d'air dans un bâtiment exposé aux conditions climatiques - Google Patents

Méthode de commande de conditionnement d'air dans un bâtiment exposé aux conditions climatiques Download PDF

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Publication number
EP1134508A2
EP1134508A2 EP01106512A EP01106512A EP1134508A2 EP 1134508 A2 EP1134508 A2 EP 1134508A2 EP 01106512 A EP01106512 A EP 01106512A EP 01106512 A EP01106512 A EP 01106512A EP 1134508 A2 EP1134508 A2 EP 1134508A2
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Prior art keywords
data
building
climate
weather
weather forecast
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Granted
Application number
EP01106512A
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German (de)
English (en)
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EP1134508A3 (fr
EP1134508B1 (fr
Inventor
Markus Werner
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Individual
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Publication of EP1134508A3 publication Critical patent/EP1134508A3/fr
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Publication of EP1134508B1 publication Critical patent/EP1134508B1/fr
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    • 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
    • F24F11/62—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
    • 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

Definitions

  • the invention relates to a method for controlling the climate in a weather-dependent building or plant area.
  • cooling or Heating systems can be designed accordingly large. This has high investment costs. Even with very large designed cooling or heating systems always occurs a certain Response time to. Furthermore, when using cooling or Heating systems for conventional operation are oversized, energy consumption.
  • Modern cooling and heating systems have pipe systems provided in the floors or walls instead of the radiator air heating or air cooling systems, which are relatively inexpensive in terms of acquisition costs.
  • the provision of pipe systems in the building mass has health advantages over convective air heating or cooling.
  • the radiant heat or cold is particularly pleasant.
  • the building mass ie for example the wall or the floor of a building area, is cooled or heated. Since this is a large mass to be heated or cooled, the reaction times until a predetermined target value of the climate data is reached are extremely long.
  • the building mass has a high thermal inertia.
  • Today's control components require manufacturer-specific software. A combination of components from different manufacturers is therefore only possible to a limited extent. This can mean that different systems have to be operated in parallel at high cost because they cannot communicate with each other.
  • Active technology is used for the real system or the building -
  • a heating system dimensioned with With the help of an adapted regulation to ensure that in future operation, future climate data are observed. It is either saved on in the past and / or use currently measured values.
  • the system's response to weather influences is determined by Transfer functions, for example heating characteristics, described. In principle, however, these can thermodynamic behavior of the system only very rough describe, since not according to the influences of individual Components that make up the system, is distinguished.
  • DE 42 02 688 A1 describes a method for improving the prediction local weather data, i.e. occurring outside of a building Temperatures described.
  • the object of the invention is the climate in a weather-dependent To control the building or plant area in such a way that future climate data with as little time delay as possible and achieve a specified target size with high accuracy and adhere.
  • the building or plant area mapped as a calculation model so that the thermal Influence, for example walls, arranged in the building Machines, light sources and the like is known.
  • the invention are in the process of controlling the climate in a building or plant area automatically weather forecast data queried.
  • future weather data such as temperature, air pressure, Air humidity, wind speed and sun intensity, for certain times in the future known.
  • a load data profile is saved.
  • Known building or system influences stored This is, for example, the time course from heat sources, such as machines, lighting and the like. and / or moisture development.
  • the method for controlling the climates in a building or plant area automatically Weather forecast data requested.
  • future weather data such as Temperature, air pressure, humidity, wind speed and sun exposure intensity, for certain in the future lying times known.
  • the calculation of Control data stored at least one load data profile.
  • Load data profiles are known within the building or system Influences saved. This is for example about the temporal course of heat sources, such as machines, Lighting and the like and / or moisture development.
  • Air conditioners become the inner state, i.e. the climate data of the Building or the technical system, influenced. It deals for example, radiators, cooling surfaces, Ventilation systems, etc. and in process engineering systems for example, also about heat exchangers for decoupling heat and cold.
  • the calculated control data is sent to the air conditioners transmitted.
  • the transmission can be carried out immediately after the calculation take place so the control data in the air conditioners be saved and at the calculated times trigger appropriate switching operations. It is also possible the tax data only at the appropriate times To transmit air conditioners.
  • the temperature in a building area must be kept constant, the building area in Dependency on future weather conditions and through internal heat / cold sources Temperature changes can be heated or cooled. Is due the weather forecast e.g. known that the outside temperature too a certain point in time will change in such a way that the Room temperature in the building area above the desired Setpoint, i.e. the future target size will increase, the Cooling the room earlier to which the room temperature is not yet due to the increased outside temperature is increased.
  • the load data profile since this e.g. some compensation or additional warming can cause.
  • Weather forecast data can be used to achieve predetermined Target values for future climate data at an early stage Control data calculated and transmitted to the air conditioners become. Future climate data can therefore be very precise can be achieved. For example, there are no strong ones Temperature increases before reaching the desired temperature instead of. This also applies to other climate data, such as the Humidity, air pressure and other weather dependent climate data. Because the air conditioners were at a very early stage Time, based on the time at which the specified Target of future climate data should be achieved can be controlled, it is possible to significantly smaller To provide heating and cooling systems. This has one considerable savings in investment costs and operating costs result. It is the method according to the invention a predictive tax procedure.
  • the load data profile within the Loads occurring in the building or system area are saved.
  • Known load data profiles are to be determined in such load data profiles Influences that cause changes in time saved.
  • the increase in internal Loads by switching on lights or at Industrial plants by commissioning heat emitting Machines or the like be saved.
  • Allocation plan can be saved as a load data profile.
  • Load data profiles can also Humidity changes, e.g. by the presence caused by people. Because of saved load data profiles are used in the calculation of the Control data for the air conditioners known internal influences the climate is taken into account in advance.
  • the load data profiles are preferably compared corrected with climate data obtained in the past. It there is therefore an uninterrupted feedback. This is particularly advantageous if load data profiles too Start of operation of a heating or cooling system, which after the The method according to the invention works, sometimes only with difficulty are predictable.
  • the feedback finds one automatic error correction of possibly in the original Profile contained errors instead.
  • the correction can be done by Weighting of the saved profile or by a concrete one Individual values in the profile are changed.
  • the method according to the invention also includes local weather data considered.
  • the Weather forecast data are corrected. This is particularly so then advantageous if for a building or plant location only relatively inaccurate weather forecast data from weather services can be made available. This is particularly true in Areas where only for a large area regional area a weather forecast is available so the weather forecast data is inevitably local have some inaccuracy.
  • the weather forecast data is preferably provided by a Comparison with saved local weather data for the same or corrected a comparable period.
  • Correspond to the Weather forecast data for a day for example Weather forecast data of the previous day and is from the local The previous day's weather data showed a discrepancy between the local ones Weather data and the weather forecast data known so the weather forecast data for the current day immediately Getting corrected. It is also possible to choose from several local weather data measured over the past few days form and use this as comparison data for the Use weather forecast data.
  • the above method steps are preferably described in regular short intervals of, for example, a few Minutes repeated.
  • the query of weather forecast data is not repeated so often, since generally only in Intervals of several hours or longer Weather forecast data are available.
  • Repeating the Process steps can be local external influences in the Determination of the control data for the air conditioners not be taken into account, be balanced. It could be Here, for example, about opening windows or the unforeseen activation of the climate data influencing Devices.
  • climate data profiles intended.
  • the required time is History of the relevant climate data saved. This is about it is, for example, a required time Temperature curve depending on the day of the week and the Time of day.
  • Based on the climate data profiles individual tax data calculated for specific times.
  • the target values for future climate data is stored as a function of time, so that this is target data.
  • the climate data profiles are preferably based on those in the Corrected climate data measured in building or system area.
  • Unpredictable influences i.e. especially that human behavior.
  • By correcting the climate data profile can be taken into account, for example, that a person ventilates more often on cold days than in the original climate data profile was adopted.
  • the current climate data can be measured continuously respectively.
  • Limit automatically a new calculation of the optimal Tax data carried out.
  • the algorithm provided for calculating the control data is preferably constructed such that in one Computation run a series of tax data for time different future target values are calculated. It this is, for example, tax data for the Air conditioners for a period of several hours or even several days.
  • the calculation model by which the thermal influences of a building or plant area, i.e. for example walls in which Machines, light sources and the like arranged in buildings, if possible well recorded is used to calculate the tax data regarding of thermal behavior.
  • the building or facility is shown on a computer as a simulation model. This allows the building to be planned at an early stage the controller is designed for heating and air conditioning become. This has the advantage that the interpretation the heating and air conditioning system and the related Investment costs can be defined at an early stage can.
  • thermodynamic modeling it is known to have facilities or buildings that are weather dependent, undergo thermodynamic processes already in the planning stage and project planning phase using a computer-aided To design and optimize the tool.
  • dynamic computing simulation programs come mathematical-physical Models that use the thermodynamic Describe the behavior of the system (system or building) exactly.
  • the system model is composed of modular, object-oriented software modules, which the behavior of a real component, for example a wall structure or a valve, more or less exactly describe.
  • Such modules are in program libraries filed and can be used to put together any systems be used.
  • the simulation models used are further required climate, availability and Load data profiles specified, which also with the help modeled regulation the climate in the modeled system determine.
  • Test reference years are statistical for one year representative weather situations, for example in Hourly grid, dissolve. So the weather will be for you assumed a longer period than known. Will that System model exposed to this weather is so with help the simulation of the influence of the weather on the thermodynamic Behavior of the building or plant predictable.
  • the knowledge of the future weather development integrated into the control strategy hence the weather for a longer future period assumed to be known and optimal to the real system adapted control strategy predicted.
  • the system is there able to not only react but actively to act with foresight, with the result that then the climate in the system is minimal or even zero does not differ from the required climate profile.
  • the Setting the required climate will be significantly smaller Reserve services achieved because the system instead of using short-term high performance with a small reserve power can be driven for a longer period of time.
  • program libraries there are modular, object-oriented software modules, which each the behavior of a real component, for example one Wall structure or a valve, more or less exactly describe.
  • the program library also contains so-called Function modules, which infrastructural tasks, such as the Measurement and archiving of weather data, status data from the system to be controlled, automatic remote data transmission, etc. take.
  • modules are interface and Data transfer protocol clearly defined so that it reusable, interchangeable and among each other at any time can be networked.
  • the modules can be manufacturer-specific Components, such as pumps or window constructions, describe, but are to be networked with each other a functional system can be used flexibly and not system specific. So with the help of Program library models for simulation, control and Control of any systems can be put together.
  • Simulation model shown in the computer.
  • the created model is used both for planning simulation and later Use within the control of the real plant.
  • Function modules added to the simulation model they provide the interface of the computing model with the system to be controlled and with data sources such as weather measuring station, weather forecast etc.
  • a logbook can be kept that provides information on the causes of the fault in the event of a fault.
  • plant characteristics can also be archived to be used for later planning and dimensioning tasks to be available. This knowledge can be used for scientific as well as business purposes be helpful.
  • the components of the program library work cross-platform i.e. the software can be in any Hardware (microcontroller, PC etc.) can be implemented.
  • the calculation model used to control the climate data can as software or as hardware, e.g. as a chip. By mapping the building or plant area in the Chip can provide the necessary computing power and thus the Computing time can be reduced.
  • a first buffer is preferably provided, in which the calculated tax data are saved.
  • the air conditioners can operate even if the computer fails be supplied with tax data for a longer period of time. On Failure of the computer therefore does not mean that the entire climate control fails.
  • a second buffer store can also be provided, in the measured in the building or plant area climate data and local weather data (status data) are saved become. Thus, even in the event of a temporary failure, the Measuring sensors in the building or plant area due existing state data a calculation can be carried out.
  • the method according to the invention can be carried out by means of a single Computers also for several areas of a building or for several plant areas of a plant separately from each other be used so that the climate in these areas can be controlled separately.
  • modern means of communication such as Internet, intranet, ISDN, telephone etc. used. You serve the networking of several subsystems and for remote maintenance and -optimization. In this way, system parameters and possibly Models of individual system components instead of at the location of the system cost-effectively from an external data center can be remotely diagnosed and changed.
  • the regulation can depend on the location of the system to be regulated or the Building. The investments and the Installation effort on site will be compared to conventional control technology reduced. At the location of the system only sensors, actuators and Data cache. If necessary, also Control elements for setting the desired profiles (climate, Load data, availability of air conditioning units) posed. Using the controls, it will Plant operator enables, despite outsourcing the regulation to make changes to setpoints independently. In one For example, the caretaker can do without special Expertise the desired room temperature in the climate data profile or the planned room occupancy in the Change load data profile.
  • the actual calculation of the control strategy can be done externally by a service provider. He disposes about computing power and the corresponding simulation models. The provider takes over the calculation of the optimal Control strategy and automatically sends the result, for example via ISDN, back to the building. The provider can serve multiple properties in this way. He has the appropriate calculation models for each regulatory system. Should individual systems in the course of Operating time changes, for example in a building of the Replacement of a heating burner, can be made so the provider simply exchanges or supplements the corresponding one Module in the system model to adapt the control strategy to the new one To adapt conditions. In the sense of a further reduction of Installation effort on site and the associated costs can set the desired profiles instead of staff can also be taken over by an external provider on site. For this, e.g. an instruction from the caretaker by email, Fax or telephone.
  • Unauthorized external access to the computer-aided Control system are through appropriate filters and Security mechanisms at the interfaces of the Remote data transmission intercepted.
  • the invention is based on a preferred Embodiment with reference to the drawing explained.
  • the drawing shows a schematic flow diagram of a preferred embodiment of the method according to the invention.
  • Weather forecast data automatically queried and in one Buffer 12 stored.
  • the time interval between Two queries of weather forecast data will depend on the Frequency of the from the regional weather station 10 to Provided updated weather forecast data and the specific constant, such as the thermal constant of a building or system 18.
  • the local weather station 14 is in the area of the building or Plant 18, whose climate is to be controlled, arranged.
  • the Weather forecast data 20 When the weather forecast data 20 is corrected, the Weather forecast data with available local weather data compared. A comparison is made with local ones Past weather data takes place, which is a comparable with the future period to be controlled Period. A comparable period is for example the previous day or another day for which one comparable weather forecast was hit. However, it can even from several days in the past, in total over the length of the future to be controlled Go beyond the period, by means of a statistical evaluation a comparable period of time can be extracted.
  • Error correction 20 is always carried out when either there is a new weather forecast, or between in past predicted and corrected weather and a deviation from the actually measured weather locally occurs that exceeds a permissible threshold. After completion of the error correction 20 is a Starting unit 28 started the calculation of the control data 30.
  • climate data such as the Air temperature, humidity or air pressure and possibly consumption data, such as the electrical power for Artificial lighting or for the operation of machines, measured, stored and transmitted for error correction 24 and 34.
  • the climate data are stored in a buffer 22.
  • Load data 24 are stored in the error correction Load data profiles 26 checked. With the saved Load data profiles are known influences the climate. This applies, for example, to switching on heat generating devices at some point.
  • the load data calculated and saved at the time are the values supplied by stored load data profiles 26 corrected.
  • the saved load data profiles i.e. which previously e.g. at the time of commissioning load data of the system or the building with which calculated current load data compared. Because of the For comparison, the existing load data profile is weighted or a concrete change to the saved Load data profile.
  • the starting unit 28 Based on the error correction of the weather forecast data 20 and the error correction of the climate data 34 becomes the starting unit 28 started.
  • the starting unit 28 has Control mechanisms that the time intervals of the Coordinate recalculation of tax data 30. In this way for example, the fact that the building will experience a time delay until the suggestion through the calculated control data 40 on the measurement of itself then setting climate data 22 takes place.
  • the starting unit 28 causes the after the internal control mechanism Start of calculation of tax data 30.
  • the tax data is calculated using a system or Building model 36.
  • the building model is the Illustration of the building or plant area to be controlled 18 on a computer using a simulation program. With Help of the simulation program are a lot different building blocks, for example for walls, windows, Radiators, lighting, machines etc., shown. From these The individual plant or building area 18 be mathematically simulated. It is therefore an exact one Illustration of the building or plant area on the computer possible. Depending on the requirement for the accuracy of the Tax procedure can also simplify the model accordingly his. This increases the number of arithmetic operations decreased.
  • the building or plant area shown can also as hardware, for example as a chip. This has the advantage that the computing speed is considerable is increased.
  • the plant or building model 36 i.e. that of the controller underlying calculation model are used to calculate the Control data corrected load data profiles 24 and corrected Weather forecast data 20 provided. Furthermore when calculating the tax data 30 availability profiles 38 of the air conditioners. In availability profiles 38 is saved at what time certain air conditioners can be used. For example, heat pumps may only be closed certain times can be used because with the electricity generators Contracts often exist to increase the use of heat pumps Peak times prohibited. In such availability profiles 38 can also be deposited that certain devices work on a night-time basis, for example, and therefore only to certain night times are available. It is also possible the availability profiles 38 based on measured data to change.
  • the calculated control data are sent to an intermediate memory 40 transmitted. At the times also calculated the tax data to those in the building or system 18 provided air conditioning units. The time at which Control data for one of the air conditioning units is transmitted before the point in time at which a future target climate data, i.e. for example, one in a room to one desired temperature in the future should.
  • the in building blocks mapped to the calculation model e.g. around pumps, Storage, pipe networks, valves, heat or cold sources, etc. act.
  • the control itself is modeled accordingly.

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Air Conditioning Control Device (AREA)
  • Hydroponics (AREA)
EP01106512A 2000-03-17 2001-03-15 Méthode de commande de conditionnement d'air dans un bâtiment exposé aux conditions climatiques Expired - Lifetime EP1134508B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE10013447A DE10013447C1 (de) 2000-03-17 2000-03-17 Verfahren zur Steuerung des Klimas in einem wetterabhängigen Gebäude- oder Anlagenbereich
DE10013447 2000-03-17

Publications (3)

Publication Number Publication Date
EP1134508A2 true EP1134508A2 (fr) 2001-09-19
EP1134508A3 EP1134508A3 (fr) 2002-07-24
EP1134508B1 EP1134508B1 (fr) 2006-09-27

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EP01106512A Expired - Lifetime EP1134508B1 (fr) 2000-03-17 2001-03-15 Méthode de commande de conditionnement d'air dans un bâtiment exposé aux conditions climatiques

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EP (1) EP1134508B1 (fr)
AT (1) ATE340975T1 (fr)
DE (2) DE10013447C1 (fr)

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FR2861123A1 (fr) 2003-10-15 2005-04-22 Somfy Procede d'initialisation et de commande d'une installation comprenant des ecrans sensibles au vent.
EP2154437A1 (fr) * 2008-08-14 2010-02-17 Hager Controls SAS Optimisation de la régulation du chauffage de bâtiments sur la base de prévisions météorologiques
EP2226754A1 (fr) * 2009-03-02 2010-09-08 Kabushiki Kaisha Toshiba Système de gestion de l'énergie de charges
CN101825327A (zh) * 2010-05-28 2010-09-08 哈尔滨工业大学 基于天气预报的空调系统最优运行参数获得方法
EP2065655A3 (fr) * 2007-11-28 2012-11-28 Franco Bruno Procédé et dispositif d'économie d'énergie par la planification de l'énergie fournie pour la climatisation, en fonction de la consommation d'énergie précédente et/ou prévue et la connaissance à l'avance des données météorologiques
CN103017297A (zh) * 2012-12-27 2013-04-03 李克豪 基于气象变化的空调系统的运行方法
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EP3996227A1 (fr) 2020-11-09 2022-05-11 MeteoViva GmbH Procédé de commande de charges décentralisées dans un système d'interconnexion énergétique
DE102012219619B4 (de) 2011-11-10 2022-10-06 Kyndryl, Inc. Optimierung der freien Kühlung von Datenzentren durch wettergestützte intelligente Steuerung

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KR100550556B1 (ko) * 2003-11-11 2006-02-10 엘지전자 주식회사 에어컨의 중앙제어 시스템 및 그 동작방법
KR100613508B1 (ko) * 2004-03-22 2006-08-17 엘지전자 주식회사 에어컨의 중앙제어 시스템 및 그 동작방법
DE102004032562A1 (de) * 2004-07-05 2006-01-26 Hermes Electronic Gmbh Steuersystem für eine Klimatisierungsvorrichtung sowie Verfahren zum Steuern einer Klimatisierungsvorrichtung
DE102005032621B4 (de) * 2004-07-19 2021-05-20 Vaillant Gmbh Verfahren zur Regelung eines Heiz-, Kühl- und/oder Klimatisierungsgerätes
DE102006020121A1 (de) * 2006-05-02 2007-11-08 Siemens Ag Sensor für ein Gebäudesteuerungssystem, Gebäudesteuerungssystem und Verfahren zum Steuern von Aktoren in einem Gebäudesteuerungssystem
DE102007035129A1 (de) * 2007-07-25 2009-01-29 Abb Ag System und Verfahren zur vorausschauenden Überwachung und zum Schutz elektrischer Einrichtungen
DE102008027257A1 (de) * 2008-06-05 2009-12-17 Paul Dürrschnabel Auswertung der Wettervorhersage und der gegebenen IST-Wetterlage zum Zweck der Energiesteuerung für alle Objekte - Energieverbraucher, bei denen das Wetter - Klima den Energie-Bedarf bestimmt
DE102009032208B4 (de) * 2009-07-03 2011-09-22 Bam Deutschland Ag Verfahren und Vorrichtung zur Gebäude-Temperierung
DE102011001158A1 (de) * 2011-03-09 2012-09-13 Hochschule Fulda Verfahren und Vorrichtung zur Bestimmung von Stellgrößen zur Beeinflussung eines Raumklimas
DE112012006518B4 (de) 2012-06-15 2024-05-29 Mitsubishi Electric Corporation Klimatisierungsmanagementgerät, Klimatisierungsmanagementverfahren und Programm
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FR2861123A1 (fr) 2003-10-15 2005-04-22 Somfy Procede d'initialisation et de commande d'une installation comprenant des ecrans sensibles au vent.
WO2005038187A1 (fr) * 2003-10-15 2005-04-28 Somfy Sas Procede d'initialisation et de commande d'une installation
EP2009358A3 (fr) * 2007-06-30 2014-09-24 Robert Bosch Gmbh Procédé de régulation prédictif basé sur un modèle de bâtiment destiné à chauffer un système limité
EP2065655A3 (fr) * 2007-11-28 2012-11-28 Franco Bruno Procédé et dispositif d'économie d'énergie par la planification de l'énergie fournie pour la climatisation, en fonction de la consommation d'énergie précédente et/ou prévue et la connaissance à l'avance des données météorologiques
EP2154437A1 (fr) * 2008-08-14 2010-02-17 Hager Controls SAS Optimisation de la régulation du chauffage de bâtiments sur la base de prévisions météorologiques
CN104346651A (zh) * 2009-03-02 2015-02-11 株式会社东芝 需求侧能量管理系统
EP3168798A1 (fr) * 2009-03-02 2017-05-17 Kabushiki Kaisha Toshiba Système de gestion de l'énergie de charges
CN102004841A (zh) * 2009-03-02 2011-04-06 株式会社东芝 需求侧能量管理系统
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EP2226754A1 (fr) * 2009-03-02 2010-09-08 Kabushiki Kaisha Toshiba Système de gestion de l'énergie de charges
CN101825327A (zh) * 2010-05-28 2010-09-08 哈尔滨工业大学 基于天气预报的空调系统最优运行参数获得方法
CN101825327B (zh) * 2010-05-28 2012-03-07 哈尔滨工业大学 基于天气预报的空调系统最优运行参数获得方法
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DE102012219619B4 (de) 2011-11-10 2022-10-06 Kyndryl, Inc. Optimierung der freien Kühlung von Datenzentren durch wettergestützte intelligente Steuerung
CN103017297A (zh) * 2012-12-27 2013-04-03 李克豪 基于气象变化的空调系统的运行方法
WO2015147658A1 (fr) * 2014-03-28 2015-10-01 FRESH-ART Sp.z o.o. Système de traitement et d'accumulation d'énergie
CN104896659A (zh) * 2015-05-18 2015-09-09 凤阳金小岗农林科技产业发展有限公司 一种组培瓶苗的污染控制方法
CN104950707B (zh) * 2015-05-29 2018-02-23 小米科技有限责任公司 出风设备控制方法及装置
CN104950707A (zh) * 2015-05-29 2015-09-30 小米科技有限责任公司 出风设备控制方法及装置
US10234156B2 (en) 2015-08-12 2019-03-19 Carrier Corporation System and method of determining proper operation of an HVAC system
CN106091242A (zh) * 2016-06-06 2016-11-09 珠海格力电器股份有限公司 一种空调机组的控制方法、控制系统及空调机组
CN111626484A (zh) * 2020-05-11 2020-09-04 新智数字科技有限公司 基于区域建筑能源系统参数修正的负荷预测系统及方法
EP3996227A1 (fr) 2020-11-09 2022-05-11 MeteoViva GmbH Procédé de commande de charges décentralisées dans un système d'interconnexion énergétique
WO2022096719A1 (fr) 2020-11-09 2022-05-12 Meteoviva Gmbh Procédé de régulation de charges décentralisées dans un système énergétique

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ATE340975T1 (de) 2006-10-15
DE50111066D1 (de) 2006-11-09

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