EP4116637A1 - Procédé et dispositif de détermination d'une courbe caractéristique de chauffage et installation de chauffage pourvu dudit dispositif - Google Patents

Procédé et dispositif de détermination d'une courbe caractéristique de chauffage et installation de chauffage pourvu dudit dispositif Download PDF

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Publication number
EP4116637A1
EP4116637A1 EP22174806.4A EP22174806A EP4116637A1 EP 4116637 A1 EP4116637 A1 EP 4116637A1 EP 22174806 A EP22174806 A EP 22174806A EP 4116637 A1 EP4116637 A1 EP 4116637A1
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EP
European Patent Office
Prior art keywords
heating
operating
heating system
operating value
characteristic
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Pending
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EP22174806.4A
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German (de)
English (en)
Inventor
Alfons Schuck
Kevin Vollmari
Daniel Ghebru
Hans-Jürgen Schulz
Arne Kähler
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Techem Energy Services GmbH
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Techem Energy Services GmbH
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Application filed by Techem Energy Services GmbH filed Critical Techem Energy Services GmbH
Publication of EP4116637A1 publication Critical patent/EP4116637A1/fr
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    • 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
    • F24H15/219—Temperature of the water after heating
    • 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
    • F24H15/20—Control of fluid heaters characterised by control inputs
    • F24H15/269—Time, e.g. hour or date

Definitions

  • the invention relates to a method for determining a heating characteristic of at least one heating circuit of a heating system in a property according to the preamble of claim 1 and a device provided for carrying out the method according to the preamble of claim 11. Furthermore, a heating system with such a device according to the preamble of Claim 12 described.
  • a first operating value of the heating system and a second operating value of the heating system are recorded as a function of time.
  • the dependency of one of the operating values on the at least one other operating value is described by adapting parameters of a mathematical model. This determines the heating characteristic.
  • the first operating value of the heating system is the flow temperature in the heating circuit, the dependency of which is described at least on the second operating value, in particular the outside temperature. If necessary, the description can also be time-dependent, for example for certain periods of time, and/or other operating values.
  • the heating characteristic curve describes the dependency of one of the operating values, in particular the flow temperature, on at least one other operating value, in particular the outside temperature, and possibly the time.
  • a heating system can have a device set up for this purpose, in particular comprising sensor devices, for recording a first operating value of the heating system and a second operating value of the heating system, a time measuring device for measuring a recording time of the operating values, a memory unit for storing the operating values, e.g. in Have the form of measurement tuples from acquisition time, first and second operating value, and a computing device for processing the measured data according to the invention.
  • Such a heating system can be located in a residential or commercial building and can be used to heat the building. It can have one or more heating circuits that are supplied with thermal energy via a heat transfer medium heated by a heat source.
  • This heat source can be, for example, a boiler whose burner generates thermal energy, a district heating connection to the building and/or any other suitable device for heating the heat transfer medium.
  • a desired room temperature of the building is achieved by controlling and/or regulating the heating system, in particular by setting at least one flow temperature of the heat transfer medium.
  • Most heating systems have a heating regulation or control that is guided by the outside temperature, with the heat transfer medium being set to a certain flow temperature in the heating circuit, which is fed into the system, depending on a measured outside temperature.
  • the flow temperature usually results from a heating characteristic that defines the flow temperature to be set for a given outside temperature, the heating characteristic being adapted to the specific heating system by suitable parameters in a manner known to those skilled in the art. This is usually done after the heating system has been installed during commissioning. In principle, a higher flow temperature is specified by the heating characteristic, the lower the outside temperature is. This ensures that, depending on the usual outside temperature fluctuations over the course of the day or year, the heating system provides the amount of heat that is required to keep the room temperature at a desired level.
  • Each heating circuit of a heating system usually has different operating modes, including heating mode, setback mode, night shut-off and, if necessary, service water heating mode if the heating system is also used to generate hot water, as is often the case.
  • setback mode which is activated, for example, during night setback (reduction of heat consumption in the heating circuit at a lower temperature level in the rooms) and/or domestic hot water heating (reduction or switching off of heat consumption in the heating circuit in order to concentrate the thermal energy for domestic hot water heating
  • the flow temperature is compared to the Reduced heating operation, with the basic dependency of the heating characteristic curve described above being retained. In other words, for example, there is a deliberate deviation from the temperature specification for the flow temperature in the heating circuit.
  • the heating circuit is switched off by the heat carrier from the heating system no longer being supplied to the heating circuit or the heat source of the heating system is completely switched off.
  • the heat carrier in the heating circuit cools down to a minimum temperature. This minimum temperature corresponds to the ambient temperature, for example the inside temperature of the rooms in which the radiators or a boiler of the heating system or the heat source of the heating system are located.
  • the heating curve can approximately have a slope of zero.
  • switching times there is a switchover between the operating modes.
  • the switching times can be over a heating regulation or control can be or will be preset.
  • the time periods between two switching times in which a specific operating mode is present are also referred to below as operating times.
  • the operational management should usually be checked regularly on the basis of the heating characteristic curves. In this way, it can be avoided that the heating system is given a flow temperature that is too high - based on the prevailing outside temperature - which would lead to unnecessarily high energy consumption.
  • the EP 2 945 032 B1 discloses a method for determining the switching times and heating characteristics of a heating system, wherein hardware is provided which, installed in the heating system, offers the possibility of measuring operating values and analyzing them with regard to the operating modes present and in particular determining their characteristics.
  • pairs of values from flow temperature and outside temperature are formed for several points in time of each of several measurement days, with the time interval of a day being divided into several consecutive and numbered time boxes of the same length.
  • a mathematical model is created for each of the discrete time boxes, which describes the dependence of the flow temperature on the outside temperature in this time box. Flow and outside temperature do not have to be recorded simultaneously here, but only within the same time box.
  • the mathematical model can thus determine switching times between different operating modes with a temporal resolution of the time box interval width by checking whether the models determined in two successive time boxes differ.
  • the disadvantage here is that the resolution, speed of recognition and accuracy of the analysis are severely limited by the size of the time boxes and thus by the number of data points per box. This is particularly true for time boxes at the edges of the night setback. Without knowing the exact switching times, an analysis of the heating characteristic is imprecise and difficult to optimize.
  • the EP 2 214 071 discloses a similar method, in which pairs of values are continuously formed from the measured flow temperature and the measured outside temperature.
  • An estimator is fitted to a selected number of pairs of values by means of parameter determination or estimation (fit).
  • Each pair of values that is newly formed, that is to say after the adaptation of the estimator, is checked for compatibility with the estimator.
  • a tolerance range for deviations from the estimator is defined. If a pair of measured values is outside of this tolerance range, there is probably a manual intervention in the heating control or a system fault. Here, too, optimized operation of the heating system is not yet possible.
  • the parameters of the heating curve set by the operator during installation and commissioning of the heating system are often adjusted manually, for example during maintenance of the heating system or by the users themselves, mostly towards higher flow temperatures in order to ensure sufficient heat supply from the radiators.
  • this increases the comfort potential for the user, it significantly reduces the efficiency of the heating system, which is otherwise controlled by the outside temperature.
  • an uncontrolled change in the heating characteristic towards a lower flow temperature can lead to a loss of comfort.
  • the object of the present invention is to provide a way with which the heating characteristic (heating characteristic changes) of a heating system can be reliably determined in a simple and cost-effective manner during operation, independently of knowledge of different operating states.
  • data is preferably recorded quasi-continuously (i.e. at short time intervals based on a day, in particular several times per hour), by recording at least a first operating value and a second operating value of the heating system as a function of time and by adapting it
  • the dependency of the operating values on one another is described by parameters of a mathematical model and the heating characteristic is thus determined.
  • a recording time i.e. the time of measurement or determination of the operating values, is also recorded.
  • the mathematical model then includes at least two sub-models, of which a first sub-model describes a dependency of the first operating value exclusively on the second operating value as a variable and a second sub-model describes a dependency of the first operating value exclusively on the acquisition time as a variable.
  • changes in the setting of the heating characteristic compared to the modeled function can be determined by detecting deviations or changes in the parameters defining the straight lines (in the case of a regression line) or general changes in the parameters of the mathematical model. If these are, for example, outside a defined or specifiable tolerance range around the parameters that were originally set and/or determined previously, a change has occurred. In this way, changes in the heating characteristic or, for example, system faults that lead to a suddenly deviating flow temperature can be detected. These can be displayed according to the invention. Based on this, manual interventions in the heating control can then be carried out and/or possible system faults can be identified and reacted to.
  • a flow temperature of at least one heating circuit of the heating system is used as the first operating value and an outside temperature in the outdoor area of the property of the heating system is used as the second operating value.
  • a separate flow temperature can be recorded for each heating circuit, especially if the flow temperature of each heating circuit in the heating system can be set separately. According to the invention, however, a common flow temperature of the heating circuits can also be recorded as the first operating value, which is then determined by the heating characteristic it should be specified that the heating circuit with the greatest heat requirement is provided with the heat transfer medium with a corresponding flow temperature.
  • the flow temperature can be set using suitable mixers in the heating circuit, which mix the flow and return of the heating circuit in order to reduce the excessively high flow temperature provided by the heating system by adding the heat carrier from the return.
  • the switching times between different operating modes can be recognized by a periodicity of the time-dependent first operating value, typically the flow temperature, being recognized from the second (time-dependent) partial model.
  • individual operating modes of the heating circuit can be separated.
  • the time-dependent measured values of the flow temperature therefore provide information as to whether the heating system is currently in heating, setback or switch-off mode, especially in a relative time comparison.
  • the switching times of one or more operating modes can be separated.
  • the list of operating modes listed is not exhaustive. For example, in the case of a longer-term acquisition, different seasonal or seasonal operating modes can also be identified. A heating characteristic can then be determined for one of the recognized operating modes. Of course, this also applies to different operating modes, for each of which a separate or a common heating characteristic can be determined.
  • the detection time can be detected as a time elapsed relative to a periodically recurring start time.
  • This periodically recurring start time can in particular be the beginning of a recording day or another periodic recording period, also referred to as a recording period, which preferably includes one time day (24 hours).
  • the detection period can also include multiples of a time day, ie settings that recur regularly depending on the time of day, for example working days and weekend days.
  • the recording time can be recorded using a time measuring device installed at the property, such as a time measuring device, for example a clock, which is included in a corresponding device for carrying out the method according to the invention, but possibly also by corresponding queries to a telecommunications network.
  • a time measuring device installed at the property
  • a time measuring device for example a clock
  • Corresponding timers are usually found in the processors of the computing devices used.
  • the first partial model is parameterized for the first operating value as a function of the second operating value.
  • pairs of measured values from the first (OW1) and second operating value (OW2) for one acquisition period each i.e. during in particular one operating mode or expressly combined several operating modes, which are then also referred to as one operating mode in the sense of this text) are fitted or calculated using well-known algorithms . customized. A least square algorithm can be used for this purpose, for example.
  • the additional acquisition time (or other variables) contained in the measurement tuples is not taken into account. In this sense, reference is also made below to pairs of measured values.
  • the first partial model is particularly preferably a linear model which, as experience has shown, describes the relationship for a heating characteristic sufficiently well.
  • the regression parameters in particular the gradient and the ordinate section, are adjusted in such a way that the average behavior of the dependent pairs of measured values recorded within a recording period from the first (BW1) and second operating value (BW2), i.e. typically the flow temperature as a function the outside temperature, is shown as best as possible.
  • BW1 and second operating value (BW2) i.e. typically the flow temperature as a function the outside temperature
  • the parameters resulting from the first partial model (adaptation or fit parameters) of different and/or consecutive acquisition periods (the same operating mode) are compared and thus changes to the heating characteristic be recognized.
  • This can be done through a relative comparison of the parameters with each other (in different acquisition periods of the same operating mode) and/or through a comparison with predefined expected base values (value ranges), i.e., for example, through changes in the fit parameters compared to the base values and/or compared to the last time determined values.
  • a change means that there is a change in the heating characteristic.
  • Whether the change affects the energy efficiency can optionally be determined by defining a tolerance range. This tolerance range can either be an interval around a base value or a maximum difference from a value determined previously. If the deviation is outside the tolerance range, the heating characteristic should be adjusted to optimize operation.
  • a change in the heating characteristic curve can optionally (depending on or independently of an evaluation of the change and/or the energy efficiency achieved) be reported to an operator of the heating system.
  • the determined fit parameters for the gradient and the ordinate section of the regression line are therefore compared.
  • changes in the heating system can be determined by repeatedly determining the heating characteristic of a heating system (in particular in the same operating modes that recur).
  • the parameters determined in the current and in previous acquisition periods can be viewed at any time, either via a digital monitor in the property or via a display device of the device installed on the heating system for carrying out the claimed method.
  • the parameters are transmitted digitally to a central location, e.g. by transmitting them to the operator or, for example, to a service provider commissioned by the operator for energy monitoring, or by loading them into a data cloud.
  • change notifications can also be generated, for example as soon as the determined parameters are outside the tolerance range.
  • a further preferred embodiment can also provide for the user or operator of the heating system to be proposed an adjustment of the heating characteristic to restore the original setting of the heating characteristic.
  • the original settings can be restored by the computing device integrated in the heating control system being designed in such a way that it has stored the original and/or previous settings of the heating characteristic and restores them with a corresponding control or request and that it is provided with a corresponding communication interface.
  • the operator can set the flow temperature manually.
  • the computing device could display the heating characteristic curve that results from the manual input and/or the corresponding parameters for the slope and ordinate section that result therefrom for comparison.
  • such a manual setting can be carried out on site, for example by an installer, or actively via remote control of the heating control system of the heating system.
  • the heating control can be set up in such a way that an operable display, ie for example a digital monitor, is provided in the property of the heating system or on the heating system itself.
  • the heating regulation can also be operated via a communication unit by remote control, ie in particular the computing device can be controlled and/or influenced.
  • the flow temperature is detected by means of a temperature sensor on a flow in the heating system. If necessary, the set flow temperature can also be output digitally by the heating controller and can be recorded in this way as part of the method according to the invention.
  • an embodiment according to the invention provides that a temperature sensor in the outside area of the property detects the prevailing outside temperature.
  • a temperature sensor of a weather station in particular a weather station that is publicly accessible via a telecommunications network, can be provided on site or in the vicinity of the site of the property for detecting the outside temperature.
  • the local outside temperature can be calculated using a mathematical weather model as a function of the location of the property.
  • the invention also relates to a device for determining a heating characteristic of at least one heating circuit of a heating system in a property with the features of claim 11, comprising sensors that are set up to record a first and second operating value of the heating circuit, a time measuring device for measuring a recording time of the operating values , a memory unit for storing measurement tuples, consisting at least of acquisition time and first operating value and second operating value, and a computing device.
  • the computing device can be in the form of a microprocessor.
  • the computing device is set up to carry out the method described above or parts thereof.
  • Sensors within the meaning of the invention described here are detection devices that detect corresponding values of the operating values. This can be done by directly measuring physical measured variables, but also by querying variables from data storage devices, such as databases, without a measurement in the physical sense being carried out by the sensors of the device.
  • the sensors can also be referred to synonymously as detection devices.
  • the computing device of the proposed device can access measurement tuples in the memory unit.
  • the computing device determines the switching times set, for example, in the heating control between different operating modes on the basis of the first operating value (in particular the recorded flow temperature) and the recording time of the measurement tuples.
  • the switching times represent in particular switching between different ones operating modes. This makes it possible to assign the individual measurement tuples to an operating mode.
  • the computing device For one operating mode or several, possibly all, operating modes, the computing device then approximately determines the heating characteristic set in the heating control system by reading first and second operating values (BW2) from the memory unit for the operating mode under consideration and sending the first and second operating values to the mathematical model be adapted, in particular to the first sub-model. This can be done using standard fit algorithms, in which the first and second operating values are “fitted” in the mathematical model. The parameters of the mathematical model that best describe the given measurement tuples from the first and second operating values are found.
  • BW2 operating values
  • the invention further relates to a corresponding heating system with at least one heating circuit according to the features of claim 12, in which an above-described device or parts thereof are installed.
  • the above-described device is preferably coupled to a heating control or partially integrated into it, with which the heating system is regulated or controlled.
  • the memory unit and computing device of the device according to the invention are preferably designed as part of the heating control system.
  • the heating system has a heating controller, by means of which the heating characteristic of the heating system can be adjusted.
  • the heating system can also include a communication unit, via which information from the heating system can be called up and/or sent to the heating system.
  • the above-described device for determining a heating characteristic and/or the heating control can be accessed from a remote location, such as the operator of the heating system or a service provider commissioned by him, in order to retrieve and/or send information about the heating system.
  • This information can include, for example, the heating characteristic determined by means of the device or the method running in the device (possibly in the form of the parameterized mathematical model).
  • this information can also include setting commands to the heating control in order to set the heating characteristic curve in the heating control and to reparameterize it, or to restore a last setting.
  • Information provided by the heating control and/or the device can be retrieved from or sent to a central location via the communication unit.
  • the heating control can receive commands from this central point. Such commands are forwarded by the communication unit, for example, to a respective arithmetic unit of the device or the heating control and implemented by it by setting the flow temperature of the heating boiler.
  • the communication unit can use the usual communication channels (radio, mobile radio, fax, e-mail, Internet connection, etc.) in order to exchange data and information, for example, with the central office, which monitors the heating characteristic, for example. In this way, monitoring for a large number of heating systems can be guaranteed with little effort.
  • communication channels radio, mobile radio, fax, e-mail, Internet connection, etc.
  • the central office also called “central” can be a homeowner, installer, service provider or another operator of the heating system.
  • FIG. 1 shows schematically the structure of a heating system 1 with an implemented device 2 for carrying out the method according to an exemplary embodiment.
  • the heating system 1 has a boiler 3 as a heat source, for example, in which a heat transfer medium of the heating system is heated.
  • This boiler 3 can heat the heat transfer medium to a desired flow temperature ⁇ VL in the heating circuit by utilizing primary energy, in which the thermal energy is then released via radiators or other heat exchangers.
  • Gas or oil for combustion or electricity can be used as primary energy.
  • the primary energy can also be designed as a district heating connection.
  • solar collectors or heat pumps can also be used as primary energy, as well as combinations of different primary energies.
  • the invention can be applied independently of the type of primary energy used and applies to all types of primary energy.
  • the heating system 1 described in the embodiment considered here is equipped with a flow temperature sensor 6 and measures the flow temperature ⁇ VL in the boiler 3 or the flow of a heating circuit connected to the boiler 3 (not shown here for the sake of clarity).
  • an outside temperature sensor 5 This can be in the form of a thermometer, for example, and can measure the outside temperature ⁇ A at the location of the property.
  • the flow temperature ⁇ VL in this Embodiment corresponds to the first operating value BW1 according to the invention, and the outside temperature ⁇ A to the second operating value BW2 of the invention.
  • a heating characteristic is generally determined, which specifies the appropriate flow temperature ⁇ VL in the boiler 3 or the heating circuit flow for the second operating value BW2 (outside temperature ⁇ A ). This specification is used by a heating controller to regulate or control the flow temperature ⁇ VL .
  • the sensors 5, 6 are not necessarily measuring devices that measure the operating values. Sensors 5, 6 are generally understood to be detection devices that determine the operating values BW1, BW2 in some way, e.g. by retrieving from outside temperature databases or flow temperature setpoints of the heating system, i.e. by retrieving values that are already available digitally.
  • a time measuring device 7 determines a recording time t of the operating values BW1, BW2.
  • the time-measuring device can, for example, be a clock on site or a computing device 9, for example a device 2 according to the invention, which has a timer and also records the recording times of the operating values BW1, BW2 as the recording time t.
  • the devices 5, 6 and the time measuring device 7 for recording the operating values BW1, BW2 in 1 can be part of the device 2, even if they are not used exclusively for the functions provided according to the invention.
  • the device 2 can also be part of a heating control system, and the sensors 5, 6 and/or time measuring device 7 can also be used for others Functions of the heating control for regulation and / or control of the heating system 1 are used.
  • the measurement tuples (t, ⁇ A , ⁇ VL ) recorded are stored in a memory unit 8 implemented in the device 2 . They can be accessed at any time by a computing device 9 of the device 2 and processed by it, in particular for carrying out the described method according to the invention.
  • the measurement tuples (t, ⁇ A , ⁇ VL ) recorded over time in the storage unit 8 are compared with the recording time and the recorded first and second operating values BW1 (flow temperature ⁇ VL ) and BW2 (outside temperature ⁇ A ) retrieved by the computing device 9 in a first method step 50 for further processing.
  • a first operating value BW1 ( ⁇ VL ) of the heating system 1 and a second operating value BW2 ( ⁇ A ) of the heating system 1 are recorded and the dependence of the operating values BW1, BW2 on one another is described by adapting parameters of a mathematical model.
  • the mathematical model maps the flow temperature ⁇ VL in the boiler 3 or a heating circuit of the heating system to determining variables. These are in particular the dependence of the flow temperature ⁇ VL as the first operating value BW1 on the outside temperature ⁇ A as the second operating value BW2 and the recording time t. In this case, these variables of the mathematical model are described as completely separate, preferably cumulative sub-models A, B, each only the dependence of the flow temperature ⁇ VL (BW1) from the
  • sub-model A can cumulatively model the periodicity of the detection time t, ie describe different time dependencies of different operating modes using different sub-models.
  • the switching times between different operating modes can easily be derived.
  • sub-model A contains a sub-model with which further periodically recurring changes in the requirements for the heating system, for example in relation to seasonal fluctuations, are modeled.
  • the corresponding periodically changing operation can be identified by a seasonal breakdown (also "seasonal decomposition").
  • Such a breakdown can be carried out using a typical trend-season model, whereby a trend is estimated on the basis of the recorded pairs of measured values (t, ⁇ VL ) and a seasonal component is estimated from the differences between the trend and pairs of measured values (t, ⁇ VL ), the residuals which adequately describes the seasonal fluctuations in the flow temperature ⁇ VL (BW1). This can be done in such a way that the residual is minimized. If the residual is minimal, subtracting an identified pattern results in a pattern that describes the seasonality.
  • the partial model B can also be formed in such a way that it is formed, for example, cumulatively from different models that are dependent on the outside temperature ⁇ A .
  • Partial model B can in particular also take into account characteristic features of a heating characteristic, such as break point, base point, heating limit temperature and/or maximum temperature.
  • the introduction of at least one further partial model is possible, which can be a function depending on any freely selectable parameter, for example a measured value, a cloud measured value or a model variable or a further operating value BW3.
  • a partial model C(x) would be conceivable, which models a compensation of the outside temperature-dependent function B( ⁇ A ) by obtaining ambient temperature information x from a cloud weather service, taking time and geo information into account.
  • a modeling of hot water phases by an additional sub-model D (y) would be conceivable, depending on a pump speed or pump head y periods of time in which heat must be provided for the production of hot water can be identified.
  • the mathematical model can contain an additional addend Z as a random component, for example as a noise component, which can be minimized when adapting the measurement tuples to the mathematical model.
  • a noise component can therefore be a function that can be represented in different ways. For example, it could map outliers, i.e. strongly deviating measured values, which are recognized and removed by an outlier detection and can thus be left out of the modeling in order to minimize the noise.
  • the noise component can also be represented by an attenuation function.
  • each of the variables from the partial model in particular the outside temperature ⁇ A (second operating value BW2), can also be modified by means of a filter.
  • a filter For example, short-term fluctuations in the measurement of the outside temperature ⁇ A can be compensated for by a low-pass filter and a smoother course of the detected outside temperature ⁇ A can be included in the calculation model. This corresponds to a sliding average calculation.
  • a smoothed outside temperature ⁇ A is used as a basis, as is also used by heating controls.
  • the flow temperature ⁇ VL is modeled by summing the two partial models A ( t ) and B ( ⁇ A ), each of which is only dependent on one variable t or ⁇ A .
  • the model is then adapted to the data of the heating system 1 as described below using basically known adaptation algorithms (Fit) in order to determine the heating characteristic.
  • Fit adaptation algorithms
  • the switching times used in the heating system 1, e.g. set in a heating control system, between the various operating modes are to be determined, e.g. the start of night reduction/switch-off and the subsequent start of heating operation.
  • the second partial model A(t) is used for this purpose, which describes the flow temperature ⁇ VL solely as a function of the detection time t.
  • a separate model A(t) is proposed for each operating mode.
  • night setback is described in detail below using 3 be explained.
  • a night setback can be modeled, for example, using a periodic rectangular function with a 24-hour periodicity.
  • 3 shows such a rectangular function as an exemplary embodiment of the partial model A(t) for the night setback.
  • the time of day is plotted on the abscissa in a 24-hour cycle in minutes from midnight.
  • the reduction temperature on the ordinate denotes the difference in the flow temperature ⁇ VL in day and night mode.
  • the flow temperature in night mode is between 8 p.m. and 2 a.m. at 8 Kelvin (degrees) below the flow temperature in daytime operation, i.e. between 2:00 a.m. and 8:00 p.m.
  • a night shutdown can also be modeled in a simple way, in that the amplitude of the square-wave function depends on the outside temperature and corresponds to the flow temperature minus the minimum temperature (basement temperature).
  • Such a model A(t) that is typical for an operating mode is therefore adapted to the measured data (t, ⁇ A ) from the measurement tuple (t, ⁇ A , ⁇ VL ) in order to determine which operating mode the heating system 1 is in, or when to switch between different operating modes, i.e. which switching times are set in the heating control.
  • the dependence of the flow temperature ⁇ VL on the outside temperature ⁇ A for the respective operating mode is modeled by the second partial model B( ⁇ A ). This is generally represented by a heating characteristic curve, as shown in 4 is shown. The heating curve behaves differently depending on the operating mode. For an operating mode, as determined in method step 54, the heating characteristic can then be determined by adapting the second partial model B( ⁇ A ).
  • the heating characteristic curve describes a behavior in which the flow temperature ⁇ VL increases as the outside temperature ⁇ A decreases. This is an example in 4 shown.
  • the flow temperature ⁇ VL is further reduced by the specified number of degrees compared to normal mode; however, the basic dependency between flow temperature ⁇ VL and outside temperature ⁇ A is retained.
  • the heating characteristic curve is parallel with a post-lowering postponed. Subsequent lowering could also be achieved by a suitable change in the slope of the heating characteristic. This would also be determined in the determination of the heating characteristic according to the invention.
  • the heating characteristic for the respective operating mode is determined by adapting the partial model B( ⁇ A ) to the data ( ⁇ A , ⁇ VL ) of the measurement tuple (t, ⁇ A , ⁇ VL ).
  • the measuring points ( ⁇ A , ⁇ VL ) of a recording period for example a day or a week, are adjusted (fitted) for the respective operating mode by the partial model B( ⁇ A ).
  • figure 5 shows an example of a measuring point cloud for an operating mode of a recording period, here a day, to which a regression line has already been fitted.
  • the fit parameters a and b thus define the heating characteristic determined according to the invention for the operating mode under consideration.
  • the heating characteristic can be recorded for one operating mode, for several operating modes or for all operating modes.
  • a next method step 56 the behavior over time of the parameters a and defining the heating characteristic for one operating mode can now be determined b be checked. If the values of parameters a and b change within consecutive acquisition periods and/or compared to predefined base values, there is a change in the heating characteristic. This is an example in 6 shown.
  • the vertical lines represent the recording periods, here individual days.
  • the values of the fit parameters a and b determined on the basis of the method described above are plotted for each of these recording periods. Their behavior over time can thus be read, with the switching times or operating modes determined from the partial model A(t) being taken into account to the extent that the fit parameters determined for a defined operating mode can be compared.
  • the values of the fit parameters a, b remain constant within the operating time of an operating mode or within a predefined tolerance range, for example, then there is no change in the heating characteristic. This is in the left part of the above figure 6 to recognize. A change in the heating characteristic is present when at least one of the fit parameters a, b is not constant or is outside the predefined tolerance range.
  • a corresponding notification of change 60 can optionally be generated by a communication unit 10 of the device 2 according to the invention.
  • the communication unit 10 then forwards a change notification 10 to a control center 4, which can be provided by the operator of the heating system 1, for example.
  • the control center 4 can be any suitable receiver that can be reached via an appropriately set up communication link.
  • a command 62 for adjusting the operating parameters for restoring the original setting of the heating characteristic can optionally be sent to the communication unit 10 via remote control, which forwards the command 62 to the computing device 9 .
  • This can be designed in such a way that it can influence or set the flow temperature ⁇ VL of the boiler. This applies in particular if the device 2 is integrated into the heating control system or can access it via an interface.
  • the method steps 52, 54 of determining the switching times and determining the heating characteristics can preferably be carried out again in this order in a first application, but in any order if repeated. For example, it may not be necessary to redetermine the switching times in accordance with method step 52 in each acquisition period. It may be sufficient to determine the switching times in method step 52 at longer time intervals, for example weekly, while the heating characteristics are determined daily in method step 56 at shorter time intervals, for example daily.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Steam Or Hot-Water Central Heating Systems (AREA)
EP22174806.4A 2021-07-07 2022-05-23 Procédé et dispositif de détermination d'une courbe caractéristique de chauffage et installation de chauffage pourvu dudit dispositif Pending EP4116637A1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102021117487.2A DE102021117487A1 (de) 2021-07-07 2021-07-07 Verfahren und Vorrichtung zum Ermitteln einer Heizungskennlinie und Heizungsanlage mit dieser Vorrichtung

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EP4116637A1 true EP4116637A1 (fr) 2023-01-11

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2009536A1 (fr) * 2007-06-26 2008-12-31 Techem Energy Services GmbH Procédé et dispositif destinés à l'installation de la réserve de puissance de chauffe
EP2214071A1 (fr) 2009-01-31 2010-08-04 Techem Energy Services GmbH Procédé et dispositif destinés à la surveillance de la courbe de chauffe d'une installation de chauffage
EP2945032A1 (fr) * 2014-05-13 2015-11-18 ista International GmbH Procédé de détermination de temps de commutation et/ou de la ligne de courbe caractéristique de chauffage d'une installation de chauffage
EP3779286A1 (fr) * 2019-08-12 2021-02-17 Huu-Thoi Le Procédé de fonctionnement d'une installation de chauffage

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2863134B1 (fr) 2013-10-15 2018-06-06 Grundfos Holding A/S Procédé d'adaptation d'une courbe de chauffe
DE102017205033B4 (de) 2017-03-24 2024-02-08 Viessmann Werke Gmbh & Co. Kg Verfahren und System zum internetgestützten Optimieren von Parametern einer Heizungsregelung

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2009536A1 (fr) * 2007-06-26 2008-12-31 Techem Energy Services GmbH Procédé et dispositif destinés à l'installation de la réserve de puissance de chauffe
EP2214071A1 (fr) 2009-01-31 2010-08-04 Techem Energy Services GmbH Procédé et dispositif destinés à la surveillance de la courbe de chauffe d'une installation de chauffage
EP2945032A1 (fr) * 2014-05-13 2015-11-18 ista International GmbH Procédé de détermination de temps de commutation et/ou de la ligne de courbe caractéristique de chauffage d'une installation de chauffage
EP2945032B1 (fr) 2014-05-13 2020-02-26 ista International GmbH Procédé de détermination de temps de commutation et/ou de la ligne de courbe caractéristique de chauffage d'une installation de chauffage
EP3779286A1 (fr) * 2019-08-12 2021-02-17 Huu-Thoi Le Procédé de fonctionnement d'une installation de chauffage

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