EP4056916A1 - Procédé, système de surveillance et produit programme informatique permettant de surveiller une installation de chauffage et/ou une installation de climatisation - Google Patents

Procédé, système de surveillance et produit programme informatique permettant de surveiller une installation de chauffage et/ou une installation de climatisation Download PDF

Info

Publication number
EP4056916A1
EP4056916A1 EP22157407.2A EP22157407A EP4056916A1 EP 4056916 A1 EP4056916 A1 EP 4056916A1 EP 22157407 A EP22157407 A EP 22157407A EP 4056916 A1 EP4056916 A1 EP 4056916A1
Authority
EP
European Patent Office
Prior art keywords
air conditioning
reference data
heating system
conditioning system
heating
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP22157407.2A
Other languages
German (de)
English (en)
Inventor
Marie Michel
Bernd Hafner
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Viessmann Climate Solutions SE
Original Assignee
Viessmann Climate Solutions SE
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Viessmann Climate Solutions SE filed Critical Viessmann Climate Solutions SE
Publication of EP4056916A1 publication Critical patent/EP4056916A1/fr
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D11/00—Central heating systems using heat accumulated in storage masses
    • F24D11/002—Central heating systems using heat accumulated in storage masses water heating system
    • F24D11/003—Central heating systems using heat accumulated in storage masses water heating system combined with solar energy
    • 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
    • F24D11/00—Central heating systems using heat accumulated in storage masses
    • F24D11/002—Central heating systems using heat accumulated in storage masses water heating system
    • F24D11/004—Central heating systems using heat accumulated in storage masses water heating system with conventional supplementary heat source
    • 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
    • F24D11/00—Central heating systems using heat accumulated in storage masses
    • F24D11/02—Central heating systems using heat accumulated in storage masses using heat pumps
    • F24D11/0214—Central heating systems using heat accumulated in storage masses using heat pumps water heating system
    • F24D11/0221—Central heating systems using heat accumulated in storage masses using heat pumps water heating system combined with solar energy
    • 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
    • F24D17/00—Domestic hot-water supply systems
    • F24D17/0036—Domestic hot-water supply systems with combination of different kinds of heating means
    • F24D17/0063—Domestic hot-water supply systems with combination of different kinds of heating means solar energy and conventional heaters
    • F24D17/0068—Domestic hot-water supply systems with combination of different kinds of heating means solar energy and conventional heaters with accumulation of the heated water
    • 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
    • F24D17/00—Domestic hot-water supply systems
    • F24D17/02—Domestic hot-water supply systems using heat pumps
    • 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
    • F24D19/1066—Arrangement or mounting of control or safety devices for water heating systems for the combination of central heating and domestic hot water
    • F24D19/1075—Arrangement or mounting of control or safety devices for water heating systems for the combination of central heating and domestic hot water the system uses solar energy
    • 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
    • F24D19/1066—Arrangement or mounting of control or safety devices for water heating systems for the combination of central heating and domestic hot water
    • F24D19/1078—Arrangement or mounting of control or safety devices for water heating systems for the combination of central heating and domestic hot water the system uses a heat pump and 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
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/32—Responding to malfunctions or emergencies
    • F24F11/38—Failure diagnosis
    • 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
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/10—Control of fluid heaters characterised by the purpose of the control
    • F24H15/104—Inspection; Diagnosis; Trial operation
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/10—Control of fluid heaters characterised by the purpose of the control
    • F24H15/156—Reducing the quantity of energy consumed; Increasing efficiency
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/20—Control of fluid heaters characterised by control inputs
    • F24H15/212—Temperature of the water
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/20—Control of fluid heaters characterised by control inputs
    • F24H15/238—Flow rate
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/20—Control of fluid heaters characterised by control inputs
    • F24H15/258—Outdoor temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H15/00—Control of fluid heaters
    • F24H15/40—Control of fluid heaters characterised by the type of controllers
    • F24H15/414—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based
    • F24H15/45—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based remotely accessible
    • F24H15/457—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based remotely accessible using telephone networks or Internet communication

Definitions

  • the operating data of individual components of the heating system and air conditioning system must be read out and assigned to one another. In a complex analysis, a specialist can then determine errors in the regulation and control of the heating system and air conditioning system and adjust the controls and regulations of the heating system and air conditioning system accordingly.
  • the WO 2007/028938 A1 shows a thermal energy system for heating and/or cooling applications.
  • the thermal energy system includes a solar collector unit and a control unit for receiving operating variables of the thermal energy system and for processing the operating variables using a system model to predict future values of the operating variables for the system and the control unit and to determine a flow of a heat transfer fluid in a system based on the predicted values of the operational variable.
  • One aspect of the invention relates to a method for monitoring a heating system and/or an air conditioning system.
  • the method preferably includes the steps of providing reference data from a heating system and/or an air conditioning system; Acquisition of data points of the heating system and/or air conditioning system, in particular including sensor values from one or more sensors and/or control values from one or more actuators, over a predetermined period of time; determining one or more statistical parameters as a function of the recorded data points; comparing the one or more statistical parameters to the provided reference data; and determining a monitoring result depending on a result of the comparison.
  • a heating system and/or an air conditioning system can be monitored with regard to their efficiency in a particularly simple manner.
  • a heating system can include a heat generator, an actuator and a sensor, for example.
  • an air conditioner may include a cold generator, an actuator, and a sensor.
  • an actuator are a servomotor, a pump, a mixer, a valve, a blower, a fuel supply etc.
  • Non-limiting examples of a sensor are a temperature sensor, a position sensor, a speed sensor, a flow sensor, a heat meter, a cold meter, a gas sensor, a light sensor, a flow sensor, a volume flow sensor, etc.
  • a statistical parameter can be a stochastic parameter. In some embodiments, a statistical parameter can be determined from the statistics using a function. In some embodiments, a statistical parameter can be determined using a function from probability theory.
  • a comparison can, for example, include a comparison of a relative or absolute cumulative frequency, in particular a frequency distribution, with a reference value of the reference data.
  • a particular advantage of the method according to the invention is that the informative value of the monitoring result can be improved in that, on the basis of the determination of the statistical parameters, it is possible to differentiate between regularly inefficient operation and sporadically inefficient operating intervals that are difficult to rule out.
  • the method according to the invention prevents sporadically occurring inefficient operating intervals from obscuring the actually good efficiency of a heating system and/or air conditioning system.
  • a notoriously inefficient system heating system and/or air conditioning system
  • a further advantage is that the operation of a complex heating and/or air conditioning system with a large number of data points can be monitored simply and efficiently with regard to efficiency using the method.
  • a particularly further developed embodiment can include the step of outputting an error message as a function of the monitoring result.
  • This has the advantage that an inefficiency, in particular a negative change in the efficiency of the system (heating system and/or air conditioning system), can be reported to a user or a maintenance engineer, for example.
  • errors in the system for example due to defective components (pumps, temperature sensors, servomotors) and/or a control error, can be transmitted to a responsible person in a particularly targeted manner. Due to the early fault detection that takes place as a result, the repair can be accelerated and further damage or a failure of the system can be avoided.
  • the provision of reference data can include the steps of detecting reference data points of one or more further heating systems and/or air conditioning systems; and determining the reference data in Dependency of the reference data points include.
  • the provision of reference data can include the steps of detecting reference data points of one or more further heating systems and/or air conditioning systems; and determining the reference data in Dependency of the reference data points include.
  • the provision of reference data can include the steps of providing simulation data relating to operation of the heating and/or air conditioning system; and determining the reference data as a function of the simulation data. This makes it possible to provide reference data even if no reference data points can be determined from corresponding systems during operation. In addition, a theoretically optimal operation for a plant can be determined particularly easily by means of the simulation.
  • the reference data can be provided both as a function of recorded reference data points and as a function of simulation data provided. This allows the advantages of the reference data points as well as the simulation data to be used.
  • determining the reference data can include determining statistical parameters as a function of the reference data points and/or as a function of the simulation data.
  • the reliability and informative value of the reference data can be improved, particularly in the case of reference data as a function of recorded reference data points, since sporadically inefficient operating intervals can also be recognized as such in the recorded reference data.
  • this can improve the comparability between the reference data and the one or more statistical parameters that are determined as a function of the recorded data points.
  • the reference data can be provided as a function of one or more from the following group: a type of heating system and/or air conditioning system, for example a product group of a heat generator and/or a cold generator, a structure of the heating system and/or air conditioning system; a usage profile in which the heating system and/or air conditioning system is operated, in particular normal operation, energy-saving mode, demand-response operation, etc.; a building design, in particular a building size, airtightness, energy efficiency of the building supplied with heating and/or cooling by the heating and/or air conditioning system, etc.; a dimensioning of the heating system and/or air conditioning system, in particular a heating output and/or cooling output, for example depending on a building design; a climatic region; a time, e.g., a season, a day of the week, a time of day; a control method for the heating system and/or air conditioning system, in particular weather-compensated control, off-peak electricity use,
  • Assigning a heating system and/or air conditioning system to a type can include a grouping into a heat pump, a biomass boiler, a solar thermal system, a circulation pump and/or a gas boiler.
  • a type can be assigned to further subgroups so that optimal reference data can be provided.
  • a climate region can be made using a climate classification, for example a classification based on spatial criteria and/or a classification based on a cause-and-effect principle.
  • climatic regions are a Mediterranean climate, a continental climate, the polar ice zone, the subpolar zone, the cold temperate zone, the cool temperate zone, the subtropical zone and the tropical zone.
  • the reference data as a function of the geographic location, it can be ensured in a simple manner that the reference data are created under approximately the same environmental influences that the heating system and/or air conditioning system to be monitored is also subject to.
  • Providing the reference data as a function of one or more of the groups just mentioned can have the advantage that influences that influence the operation of the heating system and/or air conditioning system are taken into account. As a result, the quality of the reference data can be improved, in particular with regard to the influences and thus the monitoring.
  • the reference data can depend on time and/or the reference data points can be recorded as a function of time. This can improve the result of the comparison, since if the period from which the reference data is based matches the period in which the data points of the heating system and/or air conditioning system are recorded, the boundary conditions of the reference data match the boundary conditions of the data points particularly closely.
  • determining one or more statistical parameters can include determining one or more from the following group: a distribution function, a frequency distribution, a probability distribution, a mean value, a standard deviation and/or a variance.
  • the heating system and/or air conditioning system can include a heat pump, a biomass boiler, a gas boiler, a solar thermal system, a circulation pump and/or a gas boiler.
  • the reference data can include reference data of runtimes and/or pause times of a device of the heating and/or air conditioning system and the acquisition of data points of the heating system and/or air conditioning system can include the acquisition of runtimes and/or pause times of the device, in particular in connection with sensor values and/or actuator values of the heating and/or air conditioning system.
  • a device of the heating system and/or air conditioning system can be a pump, a servomotor, a heat generator and/or cold generator, an actuator, etc., for example
  • a run time can be a period of time in which the device is operated in a load mode.
  • a pause time can be a period of time in which the device is not operated in a load mode. For example, during a pause time, the device may are in a standby mode or switched off.
  • the reference data can include reference temperature data; and the acquisition of data points of the heating system and/or air conditioning system includes the acquisition of temperatures, in particular outside temperatures, buffer tank temperatures, hot water tank temperatures, collector temperatures, primary temperatures of heat pumps, primary temperatures of air conditioners, secondary temperatures of heat pumps, secondary temperatures of air conditioners and/or line temperatures. Since a heating system and/or an air conditioning system is used to regulate a temperature, the operation of the heating system and/or air conditioning system depends in particular on temperatures detected at sensors. It can therefore be advantageous to determine the efficiency of the heating system and/or air conditioning system as a function of the sensor temperatures, so that the monitoring result can be improved.
  • the reference data can include reference data of control values from actuators
  • the detection of data points of the heating system and/or air conditioning system can include the detection of control values from actuators.
  • data points can be recorded as a function of a heating and/or cooling circuit or hot water preparation, in particular a type of heating or cooling circuit or hot water preparation.
  • a type of a Heating circuit or cooling circuit or water heating for example, be determined by a flow temperature in a load operation.
  • the type of heating circuit or cooling circuit or hot water preparation can be determined by individual components in the heating circuit or cooling circuit, for example by radiators, hot water tanks, etc.
  • a heating circuit can be a hot water circuit that is set up for hot water preparation, in particular by means of a heat exchanger.
  • a further aspect of the invention relates to a monitoring system for monitoring a heating system and/or an air conditioning system.
  • the monitoring system includes a unit for providing reference data of a heating system and/or an air conditioning system, a detection unit for capturing data points of the heating system and/or air conditioning system, in particular including sensor values of one or more sensors and/or control values of one or more actuators, via a specified Period, and a computing unit that is set up to determine one or more statistical parameters depending on the recorded data points, to compare the one or more determined statistical parameters with the reference data provided and to determine a monitoring result depending on a result of the comparison.
  • the unit for providing reference data can include a storage unit in which the reference data is stored. In some embodiments, the unit for providing reference data can include a computing sub-unit that is set up in particular to determine the reference data as a function of simulation data and/or as a function of data points from a plurality of heating systems and/or air conditioning systems.
  • the detection unit can advantageously be connected to a communication unit for receiving sensor values and/or actuator values.
  • One Arithmetic unit can advantageously include one or more analog and/or one or more digital circuits.
  • the computing unit can be set up to output an error message as a function of a monitoring result.
  • the computing unit can be connected, for example, to a communication unit for transmitting the error message, to a display unit for visually displaying the error message and/or to an audio unit for acoustically outputting the error message.
  • a further aspect of the invention relates to a computer program product comprising instructions which, when the program is executed by a system, in particular according to claim 13 or 14, cause this to carry out a method according to one of claims 1 to 12.
  • the method can include a step S11 providing reference data of a heating system and/or an air conditioning system.
  • the reference data can depend on one or more Simulations and/or be provided as a function of data points of one or more reference heating systems and/or air conditioning systems.
  • the method includes the step S12 detecting data points of the heating system and/or the air conditioning system, in particular including sensor values of one or more sensors and/or control values of one or more actuators over a predetermined period of time.
  • one or more statistical parameters are determined as a function of the recorded data points. Examples of statistical parameters are a probability distribution, a frequency distribution, a mean, a variance, a standard deviation, a median, a modal value, a binomial distribution, an expected value, a hypergeometric distribution, etc.
  • a further step of the method is step S14, comparing the one or more statistical parameters with the reference data provided.
  • the comparing can include a qualitative and/or quantitative comparison.
  • the method also includes a step S15, determining a monitoring result depending on a result of the comparison.
  • the method can include an optional step S16 outputting an error message depending on the monitoring result.
  • an error message can also be output depending on a result of the comparison.
  • the reference data can be provided depending on one or more of the following group: a type of heating system and/or air conditioning; a usage profile in which the heating system and/or air conditioning system is operated; a building design of a building that is supplied with heat and/or cold by the heating and/or air conditioning system; a dimensioning of the heating system and/or air conditioning; a climatic region in which the heating and/or air conditioning system is installed; a season; a day of the week; a time of day; a control method for the heating system and/or air conditioning system, in particular weather-compensated control, off-peak electricity use, integration of demand forecasts, output control, speed control; one or more control parameters, in particular a target temperature, a night setback, etc.
  • a Building design can include, for example, a distinction with regard to insulation, airtightness, window surfaces, window orientation, building materials such as wood, concrete, clay, etc.
  • the reference data can depend on time and/or the reference data points can be acquired as a function of time.
  • Determining one or more statistical parameters can optionally include determining a distribution function, a frequency distribution, a probability distribution, in particular a binomial distribution, a hypergeometric distribution, etc., a mean value, a standard deviation and/or a variance.
  • the heating system and/or air conditioning system can include a heat pump, a biomass boiler, a solar thermal system, a circulation pump, a gas boiler and/or a gas boiler. Consequently, the heating system and/or air conditioning system can include one or more heat generators and/or cold generators.
  • the reference data can include reference data of running times and/or pause times of a device of the heating and/or air conditioning system; and the acquisition of data points of the heating system and/or air conditioning system includes the acquisition of running times and/or pause times of the device of the heating and/or air conditioning system.
  • the reference data may include reference temperature data; and the detection of data points of the heating system and/or air conditioning system includes the detection of temperatures, in particular outside temperatures, buffer tank temperatures, hot water tank temperatures, collector temperatures and/or line temperatures.
  • the reference data can include reference data of control values of actuators; and the acquisition of data points of the heating system and/or air conditioning system includes the acquisition of control values from actuators.
  • Step S11 can optionally include a step S111 recording reference data points of one or more other heating systems and/or air conditioning systems.
  • step S112 simulation data from a simulated operation of the heating and/or air conditioning system can be provided.
  • step S113 the reference data can be determined as a function of the reference data points and/or as a function of the simulation data. In this way, it can be ensured both that the reference data are practical and that special circumstances of the heating and/or air conditioning system are taken into account.
  • determining the reference data can include determining statistical parameters as a function of the reference data points and/or as a function of the simulation data.
  • the monitoring system 30 includes a unit for providing reference data of a heating system and/or an air conditioning system 31 and a detection unit for capturing data points of the heating system and/or the air conditioning system over a predetermined period of time.
  • the acquisition of data points can in particular include an acquisition of sensor values from one or more sensors and/or control values from one or more actuators.
  • the units 31 and 32 can be combined into one unit, which can contain further sub-units, in particular a communication unit and/or storage unit.
  • the monitoring system 30 includes a computing unit 33 which is set up to determine one or more statistical parameters as a function of the recorded data points.
  • the computing unit can be a unit for determining include statistical parameters.
  • the computing unit 33 can also be set up to compare the one or more determined statistical parameters with the reference data provided and to determine a monitoring result depending on a result of the comparison.
  • the arithmetic unit 33 can also be set up to output an error message depending on a monitoring result and possibly a comparison result.
  • the processing unit can be connected to a display unit, to an acoustic output unit and/or to a communication unit.
  • the display unit can be set up to display the error message visually, for example by means of a display, an indicator light, a projection lamp, etc.
  • the acoustic output unit can be set up to output an error message acoustically, for example by means of a loudspeaker, a mechanical bell, etc.
  • the error message can contain an error code depending on the monitoring result.
  • the error message in particular an error code, can also be output as a function of one or more comparison results.
  • a unit for outputting the error message in particular a display unit, a loudspeaker unit and/or a communication unit, can be selected depending on an error code and/or one or more comparison results.
  • a particularly advanced system can include an output unit that is set up to output an error message depending on the monitoring result and possibly depending on one or more comparison results.
  • the output unit can be set up, for example, to output the error message acoustically, in particular by means of a loudspeaker, or visually, in particular by means of a display unit.
  • the output unit can be set up to send a message to an external device using a communication unit.
  • An external device can be a PC, a mobile phone, a server, etc., for example.
  • the message may be an SMS, an email, a markup language message, and so on.
  • a message can be sent to a specialist (customer service fitter), to a user, to a maintenance service, to a heat pump operator and/or to a manufacturer etc., in particular depending on a monitoring result and/or one or more comparison results.
  • a heat pump can be operated in a particularly targeted manner in terms of safety and efficiency.
  • a message can be sent to an external device depending on a monitoring result and/or one or more comparison results.
  • This in 3 System shown can be set up in particular to a in the figures 1 and 2 carry out the procedure shown.
  • several units can be combined into one unit, one unit can be divided into several units, further units can be added to the system without affecting the core of the invention.
  • the heating system 400 comprises a solar system 401, a boiler/gas boiler/heat pump 402, a first heating circuit 403, a second heating circuit 404, a hot water circuit 405 and a buffer/hot water tank 406.
  • the heating system 400 also contains sensors, in particular temperature sensors 420 and volume flow sensors 421
  • the heating system 400 includes actuators, in particular valves 410 and pumps 411, etc.
  • Values from sensors 420, 421 and values from actuators 410, 411 can be recorded as data points, for example.
  • the detection can take place in particular as a function of time.
  • the sensor values from sensors and the actuator values from actuators which are necessary for the operation of the heating system and/or an air conditioning system, can be used to monitor the heating system and/or air conditioning system. This can have the advantage that there are no additional costs for hardware components for monitoring the heating system and/or air conditioning system. In some embodiments, however, additional actuators and Sensors are attached to the heating system and/or the air conditioning system so that monitoring is improved.
  • the system and method for monitoring the heating system and/or air conditioning is in no way related to the in 4 heating system shown is limited. Rather, the in 4 shown representation of a heating system of the exemplary illustration.
  • temperature values of a temperature sensor 420 attached to a heat or cold store 406 can be recorded as data points relating to the operation of a heat and/or cold generator 402 .
  • Statistical parameters can be determined by means of the data points, which allow a simple determination of a monitoring result of the monitoring of the heating and/or air conditioning system.
  • figure 5 shows a diagram that shows the operating hours of different solar systems depending on the average storage temperature. Operating hours are the time during which a fluid circulates through the solar system using a pump.
  • the diagram 500 shown shows the operating hours for the months of June/September of the solar system on the x-axis and the average storage temperature of a storage tank that is filled by the solar system, for example a buffer storage and/or hot water storage tank, for the months of June/September on the Y axis shown.
  • the points shown in the area 501 represent simulation points.
  • the point 502 is the result of a simulation result when the water consumption is 0 liters and the point 503 is the result of a simulation result when the water consumption is 400 liters.
  • the points in area 504 represent results of corresponding simulations. Data points 511 to 519 come from different heating systems.
  • the straight lines 521 and 522 divide the diagram into three areas.
  • the area on the right above the straight line 521 can be regarded as desirable for a solar system, for example on the basis of the simulation results.
  • an average efficiency of the solar systems can be assumed.
  • the area to the left below the straight line 522 can be regarded as an inefficient area for a solar system.
  • Figure 6a shows a diagram with the switch-on times of a solar system in load operation as a function of time.
  • the days of a year are plotted on the x-axis of the diagram.
  • the hours of the day are plotted on the y-axis of the diagram.
  • the resolution of the diagram in the y-direction is 10 minute time steps.
  • no switch-on event occurs with the solar pump.
  • the solar pump is operated for a period of less than one minute.
  • the solar pump is operated for a period of more than one minute.
  • the solar pump changes to pump operation very frequently in the time periods 602 and 603 .
  • the operating times of the solar pump were essentially summarized into a few.
  • the solar pump is often operated for short periods 612 under one minute. This can also be referred to as stuttering operation.
  • the regulation and control was optimized at the end of interval 603.
  • the solar pump runs optimally.
  • the solar pump is in pump operation relatively frequently for a longer period of time 613 .
  • the pause times 611 without a switch-on event are relatively long.
  • start-up losses and wear and tear can be reduced and the efficiency of the solar system can be increased.
  • it can also be ensured that as little heat as possible is pumped from the storage tank to the solar collectors.
  • Figure 6b shows a diagram 621 of a distribution function of the running time of the solar pump from July 2014.
  • Figure 6c shows a diagram 622 of the distribution function of the running time of the solar pump from September 2014.
  • the pause time is plotted on the x-axis and the associated operating time on the y-axis, which is attached to the pause time connects or to which the pause time connects. The number of events is plotted on the z-axis.
  • a pause time is a time when the solar pump is not pumping
  • an operating time is a time when the solar pump is pumping.
  • Figures 6d and 6e each show excerpts of the diagrams Figure 6b or 6c.
  • Diagrams 623, 624 shown were compared to those in Figures 6b and 6c Graphs 621 and 622 shown remove data with an operating time of less than 30 minutes. In diagram 623 only 5% of the events shown in diagram 621 are therefore shown. in the in 6 The diagram 624 shown, on the other hand, still shows 89% of the events shown in the diagram 622.
  • Figures 6f and 6g each show a diagram 625, 626 with a frequency distribution with regard to the operating time of the solar system.
  • the various operating times are plotted on the x-axis.
  • the number of events is shown on the y-axis.
  • the data of the diagrams 625 and 626 come from the in Figure 6a Diagram 600 shown.
  • Diagram 625 of the Fig. 6f is a frequency distribution for the month of July and in chart 626 of the 6g a frequency distribution for the month of September can be found.
  • Fig. 6f with the diagram 625 it is shown that in July 2014 the events are concentrated on operating times of less than three minutes, whereas, as in 6g shown with Chart 626 in September 2014, events are relatively evenly concentrated in periods of operation lasting up to one hour.
  • a comparison value can be determined in a particularly expedient manner.
  • the comparison value can in turn be compared with reference data and the result of the comparison can be used to determine a monitoring result.
  • Figure 7a shows a diagram with a frequency distribution of the operating times and pause times of a solar pump according to an embodiment of the invention.
  • diagram 701 of the Figure 7a it can be seen that the operating times of the solar pump range from five minutes to two hours and the pause times range from five minutes to 12 hours.
  • the frequency distribution shown in diagram 701 indicates efficient operation of the solar system.
  • Figures 7b and 7c each show a frequency distribution of events of the solar pump depending on the storage tank temperature at the start and the storage tank temperature at the stop of a pump operation of the solar pump.
  • the storage temperature when pumping is stopped is plotted on the x-axis and the storage temperature when pumping starts is plotted on the y-axis.
  • the number of events is plotted along the z-axis.
  • the efficiency of the operation and/or the dimensioning of a solar system can thus be monitored in a simple manner by means of statistical evaluation of the storage tank temperature at the start and stop of a pumping interval.
  • Figure 8a shows analogous to 4 a heating system 400.
  • heat can be emitted from the reservoir 406 through the collector 401 to the surroundings of the solar collector by convection.
  • Figure 8b shows a diagram 801 with a frequency distribution of the difference between the collector temperature and the outside temperature as a function of the storage tank temperature when the solar pump is switched off.
  • Figure 8c shows a diagram 802 with a frequency distribution of the difference between the solar temperature and the outside temperature as a function of the storage tank temperature and as a function of an additional heating system. In the system shown in Diagram 802, no convection to the solar collector could be determined.
  • diagrams 801 and 802 the difference between collector temperature and outside temperature in Kelvin is plotted on the x-axis.
  • the storage temperature in °C is plotted on the y-axis.
  • diagram 801 it can be seen that the events are concentrated on a difference between the solar temperature and the outside temperature of around 15 K and on a storage tank temperature between 20 and 35°C.
  • the point 804 with an x-value of 15 K and a y-value of 20 °C forms a maximum.
  • the points 803, on the other hand, form a minimum. This shows a clear correlation between the collector temperature and the storage tank temperature when the solar circuit pump is switched off.
  • the embodiment without convection to the solar collector a maximum of the number of events 806 at an x-value of -5°C and a y-value of 15°C can be seen. Furthermore, it can be seen in the diagram 802 that the events are concentrated at an x-value of -5°C and a y-value of between 15°C and over 60°C.
  • the method according to the invention enables a detection of a solar convection, which makes a heating system inefficient, for example by means of an evaluation of a frequency distribution.
  • the evaluation of sensor and actuator values by determining statistical parameters represents a simple and efficient method of detecting errors in a heating and/or air conditioning system.
  • faults in solar collectors such as low solar radiation, low efficiency, a reduction in efficiency, poor thermal insulation, a decrease in thermal insulation, an incorrectly connected solar collector, an unbalanced interconnection of the solar collectors, incorrect dimensioning between solar collectors and heat storage tanks, etc. can be detected .
  • errors in a solar circuit in particular an insufficient volume flow due to air in the pipe system, an insufficient volume flow due to other causes, an excessive volume flow, insufficient thermal insulation, a decrease in thermal insulation (or increase in heat losses), a decrease in the volume flow, unwanted circulation, too low a pressure, too high a pressure in the pipe system, aging of the antifreeze, and/or a leak in the pipe system, etc. can be detected.
  • errors in the memory can be detected, e.g. B.
  • errors in the sensors for example an incorrect type in terms of resistance, an incorrect type in terms of accuracy, an incorrect position of the sensor, an error in the connection to the control unit, unexpected sensor values, a defective sensor, etc., can be detected.
  • errors in the control in particular of pumps and valves, can be detected, in particular incorrect temperature settings, incorrectly stored settings with regard to a pump or a valve, an incorrect stored hydraulic system, other incorrect settings, a mechanical defect in a pump or valve, a faulty software version, a fault in a circuit, a defective communication unit, etc.
  • Errors for example in the dimensioning of the heating system itself or of heat consumers, can also be detected as a result.
  • the faults can be detected for solar systems, for gas boilers, gas boilers, biomass boilers, heat pumps, etc.
  • the error detections described in the figures are purely exemplary and in no way limiting, but only represent a small part of the potential of the invention.
  • FIG. 9 shows a diagram with a frequency distribution of the operating times and pause times of a heat pump according to an embodiment of the invention.
  • the pause duration in hours is plotted on the x-axis, the runtime duration in hours on the y-axis and the number of events in the z-direction.
  • the events of the heat pump are concentrated around a running time of 1.5 hours and a pause time of 1.5 hours.
  • the heat pump is usually operated with a relatively low power of between 500 and 1500 watts (not shown in the figure).
  • sensor data and actuator data in particular such as a pressure, a temperature, a volume flow, a control signal, etc., can be used to monitor a heat pump.

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Sustainable Development (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Energy (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Signal Processing (AREA)
  • Computer Hardware Design (AREA)
  • Fluid Mechanics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Air Conditioning Control Device (AREA)
  • Steam Or Hot-Water Central Heating Systems (AREA)
EP22157407.2A 2021-03-10 2022-02-18 Procédé, système de surveillance et produit programme informatique permettant de surveiller une installation de chauffage et/ou une installation de climatisation Pending EP4056916A1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102021105837.6A DE102021105837A1 (de) 2021-03-10 2021-03-10 Verfahren, überwachungssystem und computerprogramm-produkt zum überwachen einer heizungsanlage und/oder einer klimaanlage

Publications (1)

Publication Number Publication Date
EP4056916A1 true EP4056916A1 (fr) 2022-09-14

Family

ID=80787333

Family Applications (1)

Application Number Title Priority Date Filing Date
EP22157407.2A Pending EP4056916A1 (fr) 2021-03-10 2022-02-18 Procédé, système de surveillance et produit programme informatique permettant de surveiller une installation de chauffage et/ou une installation de climatisation

Country Status (2)

Country Link
EP (1) EP4056916A1 (fr)
DE (1) DE102021105837A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102022134692A1 (de) 2022-12-23 2024-07-04 Energypool Tec Ag Verfahren und Überwachungsvorrichtung zur Ermittlung energetischer Defizite eines Betriebs einer Heizungsanlage sowie deren Einfluss auf Effizienz, Schadstoffemissionen und CO2-Ausstoß

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007028938A1 (fr) 2005-09-07 2007-03-15 Endoenergy Systems Ltd Système et appareil à énergie thermique
US20160370799A1 (en) * 2015-06-19 2016-12-22 Trane International Inc. Self-learning fault detection for hvac systems
DE102016223612A1 (de) * 2015-12-04 2017-06-08 Robert Bosch Gmbh Verfahren zur Analyse und/oder Diagnose mindestens eines Wärmeerzeugers eines Heizsystems, Steuereinheit und Heizsystem hierzu
DE102017208042A1 (de) * 2017-05-12 2018-11-15 Robert Bosch Gmbh Verfahren und Vorrichtung zur Ansteuerung eines HVAC Systems
US20190101303A1 (en) * 2017-10-04 2019-04-04 Trane International Inc. Thermostat and method for controlling an hvac system with remote temperature sensor and onboard temperature sensor

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102009038351A1 (de) 2009-05-13 2010-11-18 Horst Zacharias Verfahren zur automatischen Erkennung und Darstellung des Betriebs, und der Arbeits- und Funktionsweise von gebäudetechnischen und/oder produktionstechnischen Anlagen im Hinblick auf deren Energieeffizienz
DE102013209114A1 (de) 2013-05-16 2014-11-20 Robert Bosch Gmbh Verfahren zur Energieverbrauchsbewertung einer Heizungsanlage sowie Vorrichtung zur Durchführung des Verfahrens
EP3035281A1 (fr) 2014-12-18 2016-06-22 Horst Zacharias Analyse d'efficacite energetique d'une installation technique a partir de simulation et utilisation
DE102016215569A1 (de) 2016-08-19 2018-02-22 Robert Bosch Gmbh Verfahren zur Überwachung einer Heizeffizienz und/oder eines Fehlverhaltens einer Heizungsvorrichtung

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007028938A1 (fr) 2005-09-07 2007-03-15 Endoenergy Systems Ltd Système et appareil à énergie thermique
US20160370799A1 (en) * 2015-06-19 2016-12-22 Trane International Inc. Self-learning fault detection for hvac systems
DE102016223612A1 (de) * 2015-12-04 2017-06-08 Robert Bosch Gmbh Verfahren zur Analyse und/oder Diagnose mindestens eines Wärmeerzeugers eines Heizsystems, Steuereinheit und Heizsystem hierzu
DE102017208042A1 (de) * 2017-05-12 2018-11-15 Robert Bosch Gmbh Verfahren und Vorrichtung zur Ansteuerung eines HVAC Systems
US20190101303A1 (en) * 2017-10-04 2019-04-04 Trane International Inc. Thermostat and method for controlling an hvac system with remote temperature sensor and onboard temperature sensor

Also Published As

Publication number Publication date
DE102021105837A1 (de) 2022-09-15

Similar Documents

Publication Publication Date Title
US11847617B2 (en) Model predictive maintenance system with financial analysis functionality
US11487277B2 (en) Model predictive maintenance system for building equipment
US20190325368A1 (en) Model predictive maintenance system with budgetary constraints
US20200096985A1 (en) Model predictive maintenance system for performing maintenance as soon as economically viable
Bynum et al. Development and testing of an automated building commissioning analysis tool (ABCAT)
US10663939B2 (en) Development of certain building data profiles and their use in an automated optimization method to reduce thermal energy consumption in commercial buildings during the heating season
US20160161967A1 (en) Predictive Alert System for Building Energy Management
Katipamula et al. An open-source automated continuous condition-based maintenance platform for commercial buildings
DE102012215368B4 (de) Verfahren zur energetischen, tagesaktuellen Permanentanalyse von gebäudetechnischen Anlagen
EP2971768B2 (fr) Développement d'un modèle supérieur pour contrôler et/ou surveiller un système de compresseurs
US11762349B2 (en) Control system for building equipment with equipment model adaptation
Yang et al. Toward failure mode and effect analysis for heating, ventilation and air-conditioning
EP4056916A1 (fr) Procédé, système de surveillance et produit programme informatique permettant de surveiller une installation de chauffage et/ou une installation de climatisation
Taal et al. P&ID-based symptom detection for automated energy performance diagnosis in HVAC systems
US20230297097A1 (en) Building automation system with remote advisory services
Otto et al. Prioritizing building system energy failure modes using whole building energy simulation
Brambley et al. Diagnostics for monitoring-based commissioning
EP3521947A1 (fr) Procédé de gestion de l'énergie
WO2018224222A1 (fr) Procédé de fonctionnement d'un système de consommation thermique
Shoukas et al. Analysis of fault data collected from automated fault detection and diagnostic products for packaged rooftop units
EP3213156A1 (fr) Transmission sûre de données de mesures sensibles dans un réseau d'automatisation
Osman et al. Reliability, maintainability, and availability methodology based on statistical approach for cooling systems design modification and maintenance
JP2021009694A (ja) 予算制約を伴うモデル予測的メンテナンスシステム
DE102018110044B4 (de) Verfahren und Vorrichtung zum aufeinander abgestimmten Betreiben von elektrischen Einrichtungen
Curtin The Development and Testing of an Automated Building Commissioning Anlaysis Tool (ABCAT)

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION HAS BEEN PUBLISHED

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE

17P Request for examination filed

Effective date: 20230314

RBV Designated contracting states (corrected)

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR