IDENTIFICATION OF A HEAT PUMP CONFIGURATION BASED ON TOTAL POWER CONSUMPTION

Description

TECHNICAL AREA

[0001] The present disclosure relates generally to the technical field of heat pumps. In particular, the present disclosure relates to a method for identifying a heat pump configuration, a computer program product, and a system. BACKGROUND

[0002] Recently, heat pumps have become increasingly common in residential and other buildings. These systems use electrical energy to heat a fluid, which is then circulated throughout the building. This heated fluid can be air, which is blown into individual rooms, or water, which is used for hot water and / or heating the building.

[0003] Heat pumps generally consume less energy than other heating systems, such as gas or oil boilers. However, the energy consumption of a heat pump, and therefore its CO2 footprint, depends heavily on its settings and configuration. Most heat pumps allow for the adjustment of a configuration parameter, such as the desired room temperature.

[0004] Typically, heat pumps are commissioned with a standard configuration during initial setup, which sets the configuration parameters to a default value. While this ensures a satisfactory temperature of the heated fluid in most cases, the standard configuration may offer potential for optimization regarding the heat pump's energy consumption. Therefore, current regulations require users of heat pumps to manually record key performance indicators (KPIs) for the first year of operation. After the first year, a service company reviews these KPIs. Based on the service company's findings, the heat pump can then be finalized with an optimal configuration.

[0005] German patent application DE 10 2020 117900 A1 describes a method for operating an electricity consumption measurement system that can measure electricity consumption at a monitored location and identify the status of the electricity consumer. The method includes measuring electricity consumption values ​​over time using a sensor, providing a value pattern to a cloud-based data processing system, identifying the status of the electricity consumer, and counting the operating time of the electricity consumer.

[0006] US Patent 11,092,953 B2 describes a method and a system for detecting malfunctions and inefficiencies in heating, ventilation, and air conditioning (HVAC) systems using smart meter data. It also describes a method for determining the conditions for malfunctions or inefficiencies in HVAC systems.

[0007] German patent DE 10 2011 052467 A1 describes a building automation control system that increases user comfort and saves energy by adapting the control of heating, cooling, lighting, and household appliances to the current state and behavior of building occupants. It utilizes various data acquisition technologies, including geodata, device data, radio frequency monitoring, and electricity consumption, to precisely determine user states and adjust system control accordingly. Historical user data is analyzed to identify typical behavioral patterns and further optimize the control system.

[0008] German patent application DE 10 2017 112505 A1 describes a method for operating a thermal consumption system that makes it possible to determine the individual energy consumption of individual thermal consumers within a system. It includes recording an overall consumption profile for all consumers and determining individual consumption profiles based on stored profile data sets. BRIEF SUMMARY

[0009] The present disclosure is based on the objective of providing a method that makes it possible to quickly and cost-effectively identify a heat pump configuration.

[0010] According to a first aspect, a method according to claim 1 is provided for identifying a heat pump configuration. The method comprises obtaining a time series of measured values ​​of the total electricity consumption of a facility, wherein at least one of the measured values ​​represents the total electricity consumption of the facility, which includes the electricity consumption of a heat pump. The method further comprises identifying a heat pump configuration based on the time series of measured values.

[0011] For this purpose, it is not necessary for the user of the heat pump to record individual performance data. Nor is it necessary to count the heat pump's electricity consumption separately from other electrical appliances in the building. Instead, the total electricity consumption of the building is used to identify the heat pump's configuration.

[0012] The time intervals between the measured values ​​in the time series are, for example, equal. Total electricity consumption can be measured periodically to generate the time series. However, it is also conceivable that the time intervals between individual measured values ​​in the time series are of varying lengths.

[0013] The heat pump serves primarily to supply the premises with heated fluid, e.g., heated air and / or heated water. The premises may comprise or be a building, such as a residential building, an office building, or a factory building. The heat pump may be located in or next to the building. Preferably, the heat pump is located no more than a few meters (e.g., 5m, 10m, or 50m) from the building. Even if the heat pump is not physically located within the building, it can be said that the premises include the heat pump, particularly since the heat pump is supplied with electricity via the premises. The premises include, for example, at least one electrical appliance that is supplied with electricity via the premises and therefore contributes to the total electricity consumption of the premises, at least when activated or switched on.The total electricity consumption of the business premises can therefore be composed of the electricity consumption of the at least one electrical consumer and the heat pump, whereby the respective electricity consumption shares of the at least one electrical consumer and the heat pump are variable over time.

[0014] Total electricity consumption can be measured by an electricity metering device, particularly as a function of time. The electricity metering device can be a standardized, especially digital, electricity meter or part of a smart meter. The electricity metering device, or a measurement data provision unit coupled to the electricity metering device, can generate the measured values ​​and / or the time series of measured values ​​based on the measurements taken by the electricity metering device.

[0015] The procedure can further include determining the heat pump's electricity consumption for at least one measured value. The heat pump's electricity consumption can comprise a multitude of values ​​assigned to different times. The electricity consumption or value can correspond to the heat pump's share of the total electricity consumption described by, or assigned to, the at least one measured value. The heat pump's configuration can be identified based on the determined electricity consumption.

[0016] Preferably, the power consumption of the heat pump is determined by disaggregating at least a portion of the time series of measured values. This portion of the time series includes, in particular, at least one measured value. The portion of the time series can comprise a multitude of measured values. It is also possible to determine the power consumption of the heat pump by disaggregating the entire time series of measured values.

[0017] The disaggregation can, for example, assign respective electricity consumption shares of the total electricity consumption to the heat pump and / or the at least one electrical consumer, particularly for various or all points in time within the time series. The disaggregation can, for example, assign the respective electricity consumption shares to different types of electrical consumers, such as light bulbs, refrigerators, electric ovens, air conditioners, washing machines, or the like. The disaggregation can include pattern recognition, whereby previously known electricity consumption patterns of the at least one consumer and / or the heat pump are detected based on the time series of measured values. The disaggregation can include a comparison of previously known electricity consumption patterns of electrical consumers and / or heat pumps (configurations) with the time series of measured values. The disaggregation can include a comparison of previously known (e.g.,The disaggregation should include minimum, maximum, average, on / off (switch-on / off) power consumption values ​​of electrical appliances and / or heat pumps (configurations) along with the time series of measured values. This disaggregation can be performed using so-called "Nonintrusive Appliance Load Monitoring" (NALM). Other approaches to performing the disaggregation are also conceivable, as long as they provide the power consumption of the heat pump based on the time series of measured values.

[0018] The procedure may further include comparing the identified heat pump configuration with a reference configuration. The procedure may also include determining whether and / or how the identified heat pump configuration (e.g., a value of at least one configuration parameter according to the identified configuration) should be optimized if the identified configuration (e.g., the value of the at least one configuration parameter according to the identified configuration) deviates from the reference configuration (e.g., a value of the at least one configuration parameter according to the reference configuration) by more than a predefined tolerance.For example, it may be determined that a value of at least one configuration parameter of the heat pump should be changed from a value according to the identified configuration to a value according to the reference configuration, especially if these values ​​have a difference that is greater than a difference defined by the predefined tolerance.

[0019] For example, the procedure includes determining the energy consumption of the heat pump (e.g., average, maximum, predicted, or defined by a predetermined formula) based on the identified configuration. The procedure may include comparing the determined energy consumption with a corresponding energy consumption determined based on the reference configuration (e.g., average, maximum, predicted, or defined by a predetermined formula). If the energy consumption associated with the identified configuration is higher than the energy consumption associated with the reference configuration by more than a tolerance value defined by the predefined tolerance, then it can be determined whether and / or how the identified heat pump configuration should be optimized.For example, it can be determined that a value of at least one configuration parameter of the heat pump should be changed from a value according to the identified configuration to a value according to the reference configuration.

[0020] The reference configuration can be based on a predefined electricity consumption profile of the heat pump, on weather data, and / or on the behavioral pattern of one or more occupants of the premises. The procedure can include obtaining the reference configuration (e.g., from a storage medium, based on user input, or from a separate device). The procedure can also include generating the reference configuration based on the electricity consumption profile, weather data, and / or behavioral pattern.

[0021] It is also possible to select the reference configuration from a variety of reference configurations, particularly based on the heat pump's power consumption profile, weather data, and / or a behavioral pattern. For example, a reference configuration that best matches the time series of measured values, especially the heat pump's power consumption profile, weather data, and / or behavioral pattern, can be selected. Each of the reference configurations can be optimized for a predefined heat pump power consumption profile, predefined weather data, and / or a predefined behavioral pattern. The selected reference configuration can then be compared with the identified heat pump configuration.

[0022] The weather data can include at least one weather parameter (e.g., air temperature, humidity, brightness, number of hours of sunshine, rainfall, snowfall, etc.) that is specifically related to the business premises or their geographical surroundings. The weather parameter can be based on a local measurement in the vicinity of the business premises or on a weather model.

[0023] For example, the weather data includes a weather history and / or a weather forecast. A value of at least one configuration parameter according to the reference configuration can be based on the weather history and / or the weather forecast. This value can either be obtained (e.g., from the storage medium, based on user input, or from the separate device) or determined as part of the procedure based on the weather history and / or the weather forecast. For example, the weather history includes a value of the at least one weather parameter for each of one or more points in time in the time series. The weather forecast can include a value of the at least one weather parameter for each point in the future.

[0024] It may be possible to retain weather history in addition to the time series of measurements. The identification of the heat pump configuration can then be based on this weather history. It may also be possible to select the reference model based on the weather history. Alternatively, or additionally, the reference configuration can be generated based on the weather history.

[0025] A value for at least one configuration parameter according to the reference configuration can be based on the behavior pattern. The behavior pattern can include a behavior history and / or a behavior forecast. The behavior pattern can be based on the respective electricity consumption of the heat pump and the at least one electrical consumer in the premises. Here, the respective electricity consumption is determined by disaggregating at least a portion of the time series of measured values. The method can include this disaggregation to assign respective electricity consumption shares to the at least one electrical consumer and the heat pump. Based on the temporal progression of the electricity consumption shares, and optionally also based on the type(s) of electrical consumer(s) assigned to the respective electricity consumption shares, the behavior pattern of the occupant(s) of the premises can be determined.

[0026] The procedure may also include generating initial information if it is determined that the identified heat pump configuration should be optimized. For example, the initial information indicates that the identified heat pump configuration should be optimized.

[0027] The procedure can further include generating secondary information when determining how the identified heat pump configuration should be optimized. For example, the secondary information indicates an optimized value (e.g., the value according to the reference configuration) for at least one heat pump configuration parameter.

[0028] The method may further include transmitting the generated information to an output device. The output device is specifically designed to display a representation to a user, providing the user with at least some of the generated information. The method may include displaying this representation via the output device.

[0029] The method may further include transmitting the second piece of information to a control device of the heat pump. The control device is specifically configured to adjust at least one configuration parameter of the heat pump to the optimized value based on the second piece of information. The method may include adjusting the at least one configuration parameter to the optimized value.

[0030] The identified heat pump configuration includes a value for at least one configuration parameter. Different heat pump configurations, such as the identified configuration and the reference configuration, may differ, in particular, in the respective values ​​of this at least one configuration parameter.

[0031] The configuration parameter includes, in particular in relation to a time and / or in relation to (e.g.) weather data, (a) at least one switching time for the heat pump, (b) at least one temperature setpoint to be provided by the heat pump, and / or (c) at least one heating curve for the heat pump. The switching time may include a switch-on time and / or a switch-off time for the heat pump. The temperature setpoint to be provided by the heat pump may include a target temperature of the heated fluid, a target room temperature, and / or a target domestic hot water temperature. The heating curve may include a time profile of the target fluid, room, or domestic hot water temperature. The heating curve may include a time profile of an operating temperature determined by a sensor of the heat pump.The at least one heating curve can define the heating behavior of the heat pump in a predefined time interval, in particular 12 hours, 24 hours, 1 week, 1 month or 1 year.

[0032] The procedure may further include, prior to identifying the heat pump configuration, a detection, based on a time series of measured values, that the premises include a heat pump. If it is not detected that the premises include a heat pump, it may be stipulated that the subsequent procedure steps are not carried out.

[0033] The procedure may involve obtaining third-party information indicating that the facility includes a heat pump. This third-party information may, in particular, indicate or explicitly state the name, identification number, manufacturer, and / or adjustable configuration parameters of the heat pump. If no third-party information is obtained, it may be stipulated that the subsequent procedural steps are not carried out.

[0034] According to a second aspect, a computer program product is provided. The computer program product comprises instructions which, when executed by at least one computing unit, cause that at least one computing unit to carry out the procedure according to the first aspect.

[0035] According to a second aspect, a system is provided. The system includes at least one computing unit that is configured to carry out the procedure according to the first aspect.

[0036] The system may include a measurement unit configured to provide the measured values ​​of the total electricity consumption to at least one computing unit. The system may include an electricity metering device configured to measure the total electricity consumption of the premises in order to generate the measured values. The system may further include an output device configured to output a display for a user, providing the user with at least some of the generated information. The system may further include a heat pump control device, the control device being configured to adjust the at least one configuration parameter of the heat pump to the optimized value based on the second set of information. The system may further include the heat pump and / or the at least one electrical consumer.

[0037] For example, at least one computing unit is part of a cloud-based computing system or part of a smart electricity meter (e.g., the electricity meter device). BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Further advantages, details and features of the devices and systems described here will become apparent from the following description of exemplary embodiments and from the figures, whereby the same structural and / or functional features are consistently identified by the same reference numerals. Fig. 1 demonstrates a system according to the present revelation; and Fig. 2 shows a process according to the present disclosure. DETAILED DESCRIPTION

[0039] Fig. 1Figure 100 shows a system 100 according to the present disclosure. In this example, the system comprises a computing unit 2, which is communicatively connected to a measurement unit 4. The measurement unit 4 is part of a smart meter 6, which also includes a metering device 8. The smart meter 6 is located in a building 10. The computing unit 2 can be part of a cloud computing network, part of an external server, or integrated into the smart meter 6. It is also conceivable to connect the computing unit 2 to a smart meter 6 as a retrofit component in the building 10.

[0040] A central service connection 12 for supplying the building with electricity is connected to the smart meter 6. The electricity meter 6 measures the total electricity consumption of all electrical appliances supplied via the service connection 12. In this example, the electrical appliances are light bulbs 14, an electric stove 16, and a refrigerator 18.

[0041] The building is supplied with a heated fluid via a heat pump 20. The heat pump is also powered via the central building connection 12. The fluid can be warm air, which is blown into rooms of the building 10, or hot water, which can be used, for example, for showering in shower 22. The heat pump 20 has adjustable configuration parameters. In particular, the on and off times of the heat pump, the target temperatures to be provided by the heat pump, and the heating curves of the heat pump can be set.

[0042] All electrical appliances 14-18 and the heat pump 20 are supplied with electricity via the same main supply line. The electricity consumption of all electrical appliances 14-18 and the heat pump is recorded as a sum or total electricity consumption. Therefore, it can be said that the electrical appliances 14-18 and the heat pump 20 are part of the same operating facility.

[0043] Furthermore, a weather station 24 located on building 10 is shown, which provides current values ​​of various weather parameters, in particular the current outside temperature. The processing unit 2 can be supplied with the weather data provided by weather station 24, for example, by transmitting the data from the weather station to the processing unit 2 via the smart meter 6. Alternatively, it is conceivable that the processing unit 2 receives weather data based on a weather model instead of measurements from weather station 24.

[0044] System 100 can include, in addition to the computing unit 2, the measurement unit 4, the electricity meter device 8, the electrical consumers 12-18, and the heat pump 20. System 100 can also include other units or devices.

[0045] Referring to Fig. 2 A procedure is described which is carried out by the computing unit 2.

[0046] In step 202, a time series of measured values ​​of the total electricity consumption of the facility is obtained. At least one of the measured values ​​indicates a total electricity consumption of the facility that includes the electricity consumption of heat pump 20. In other words, the time series of measured values ​​also includes a period in which heat pump 20 is activated or switched on and therefore draws electricity from the building's main connection 12 to heat the fluid. The processing unit receives the individual measured values ​​from the measurement unit 4. Each measured value is assigned to a different point in time within the time series; thus, the time series provides a temporal profile of the total electricity consumption of building 10, in which the electricity consumption shares of all electrical consumers 14-18 and heat pump 20 are summed.

[0047] In step 204, at least a portion of the time series of measured values ​​is disaggregated. This portion includes at least one measured value and preferably also other measured values ​​from the time series. In other words, this portion of the time series includes, among other things, the period in which the heat pump 20 is activated or switched on, and preferably also a period in which the heat pump 20 is deactivated or switched off and is not heating the fluid by drawing electricity from the building's electrical connection 12. Through this disaggregation, the electricity consumption shares of the total electricity consumption can be allocated to consumers 14-18 and / or the heat pump 20. Non-intrusive appliance load monitoring (NALM) software can be used for this purpose.

[0048] In step 206, based on the time series of measured values, particularly in the case of the detection of electricity consumption by heat pump 20 through disaggregation in step 204, it is recognized that the operating facility includes a heat pump 20. Alternatively or additionally, in step 208, third-party information is obtained indicating that the operating facility includes a heat pump 20. This third-party information can be entered by a user or maintenance personnel and may include, in particular, a name, an identification number, a manufacturer, and / or details of adjustable configuration parameters for heat pump 20.

[0049] If the operating site does not include a heat pump or if no third-party information is obtained, the procedure can be terminated at this point. It can be continuously checked whether step 206 or 208 is possible, and if so (e.g., after the installation of heat pump 20), the procedure can be continued.

[0050] In step 210, the power consumption of the heat pump is determined for at least one measured value or for the time of that at least one measured value, whereby the disaggregation from step 204 can be used. Steps 204 and 210 can also be performed in a single step in this case. The power consumption of heat pump 20 is preferably determined for all time points in the time series.

[0051] In step 212, a configuration for heat pump 20 is identified based on a time series of measured values, preferably based on the determined electricity consumption of heat pump 20. For this purpose, the electricity consumption, in particular a time-dependent profile of the electricity consumption, can be compared with a previously known electricity consumption or electricity consumption profile that is assigned to a previously known configuration. From a number of previously known configurations, the one that best matches the determined electricity consumption of heat pump 20 can be selected and thereby identified as the configuration for heat pump 20. Further criteria can also be used to select the best-fitting configuration, for example, a weather history that specifies a weather parameter for individual or all points in the time series.It is also possible that the disaggregation provides not only the power consumption of heat pump 20, but also the configuration of the heat pump.

[0052] The identified configuration of the heat pump includes at least one configuration parameter of the heat pump 20. This configuration parameter can be assigned to a time and / or weather data, in particular a weather history. The at least one configuration parameter includes at least one switching time of the heat pump 20, at least one temperature setpoint to be provided by the heat pump 20 (e.g., of the fluid to be heated), and / or at least one heating curve of the heat pump 20.

[0053] In step 214, the identified configuration of heat pump 20 is compared with a reference configuration. The comparison may include a comparison of energy efficiency or energy consumption according to the identified configuration with energy efficiency or energy consumption according to the reference configuration. The comparison may also include a comparison of individual values ​​of one or more configuration parameters between the identified configuration and the reference configuration.

[0054] The reference configuration is based in particular on a predefined electricity consumption profile of the heat pump, on weather data (e.g. a weather history or a weather forecast) and / or a behavior pattern of one or more residents of the building 10.

[0055] For example, at least one parameter of the reference configuration is based on a weather forecast. In this case, the reference configuration is adapted to the weather forecast. This is particularly advantageous when future changes in ambient temperature are expected. The reference configuration then allows the heat pump 20 to be controlled accordingly before the temperature changes occur, thus increasing the efficiency of the heat pump 20.

[0056] For example, at least one configuration parameter of the reference configuration is based on the behavioral pattern. This behavioral pattern can be determined from the electricity consumption pattern of electrical consumers 12-18, obtained through disaggregation, and provides information such as residents' wake-up times, shower times, typical operating times of the washing machine, and the like. In this case, the reference configuration makes it possible to adjust the control of the heat pump 20—for example, a heating curve or a switch-on time—to the behavioral patterns in order to further increase the efficiency of the heat pump 20.

[0057] If the comparison shows that the identified configuration deviates from the reference configuration by more than a predefined tolerance ("deviation > tolerance"), then step 216 is performed.

[0058] Step 216 determines whether and / or how the identified heat pump configuration should be optimized. For example, if there is an unacceptable deviation of a configuration parameter value between the identified configuration and the reference configuration, it is determined that the value of heat pump configuration parameter 20 should be changed to the value according to the reference configuration.

[0059] In step 218, first and / or second pieces of information are generated. The first pieces of information indicate that the identified heat pump configuration should be optimized. The second pieces of information indicate an optimized value for at least one heat pump configuration parameter (e.g., the corresponding value according to the reference configuration).

[0060] In step 220, the generated information is transmitted to an output device configured to display a representation for the user, providing at least some of the generated information. The output device can be a computer screen, a mobile phone, a tablet computer, or a display on the smart meter 6. The user can be notified that the heat pump should be reconfigured. Recommendations for the values ​​of individual configuration parameters 20 can also be provided to the user.

[0061] In step 222, the second set of information is sent to a (in Fig. 1The control device of heat pump 20 (not shown) transmits the second piece of information. This control device is configured to use the second piece of information to adjust at least one configuration parameter of heat pump 20 to the optimized value (e.g., the corresponding value according to the reference configuration). This allows heat pump 20 to be automatically reconfigured without requiring manual changes to the heat pump 20's configuration by a maintenance technician or a resident of building 10.

[0062] As in Fig. 2Steps 204-120 and 214-222 are optional. It is also possible to change the order of individual process steps. For example, step 208 could be placed before step 208, and step 220 before step 222. Further modifications are also conceivable. The process can also include additional steps such as selecting or generating the reference configuration, displaying the interface to the user, and setting at least one configuration parameter of the heat pump 20. The process can be performed by the system 100, which, in addition to the computing unit 2, can include other components such as the output device.

[0063] Furthermore, a computer program product is provided which includes instructions which, when executed by the computing unit 2, cause the computing unit 2 to perform the following actions with respect to Fig. 2 to carry out the described procedures.

[0064] In the examples presented, different features and functions of the present disclosure have been described separately as well as in specific combinations. It is understood, however, that many of these features and functions can be freely combined with one another, unless explicitly excluded.

Claims

1. Method for identifying a configuration of a heat pump, comprising: receiving (200) a time series of measured values of a total power consumption of an operating site, wherein at least one of the measured values indicates a total power consumption of the operating site that comprises a power consumption of a heat pump (20); and identifying (212) a configuration of the heat pump (20) on the basis of the time series of measured values, wherein the identified configuration of the heat pump (20) comprises at least one switching time of the heat pump (20); at least one temperature setpoint to be provided by the heat pump (20); and / or at least one heating curve of the heat pump (20).

2. Method according to claim 1, further comprising: determining (210) the power consumption of the heat pump (20) for the at least one measured value, wherein the configuration of the heat pump (20) is identified on the basis of the determined power consumption.

3. Method according to claim 2, wherein the power consumption of the heat pump (20) is determined by disaggregation (204) of at least a part of the time series of measured values, wherein the part of the time series comprises the at least one measured value.

4. Method according to claim 3, wherein the part of the time series comprises a plurality of measured values.

5. Method according to one of claims 1 to 4, further comprising: comparing (214) the identified configuration of the heat pump (20) with a reference configuration; and determining (216) that and / or how the identified configuration of the heat pump should be optimized, if the identified configuration deviates from the reference configuration by more than a predefined tolerance.

6. Method according to claim 5, wherein the reference configuration is based on: a predefined power consumption profile of the heat pump (20); weather data; and / or a behavior pattern of one or more residents of the operating site, wherein further optionally the weather data comprise a weather forecast, and wherein further optionally a value of at least one configuration parameter in accordance with the reference configuration is based on the weather forecast.

7. Method according to claim 6, wherein a value of at least one configuration parameter in accordance with the reference configuration is based on the behavior pattern, wherein further optionally the behavior pattern is based on a respective power consumption of the heat pump (20) and at least one electrical load (14; 16; 18) of the operating site, and wherein further optionally the respective power consumption is determined by disaggregation of at least a part of the time series of measured values.

8. Method according to one of claims 5 to 7, further comprising: generating (218) first information, if it is determined that the identified configuration of the heat pump (20) should be optimized, wherein the first information indicates that the identified configuration of the heat pump (20) should be optimized; and / or generating (218) second information, if it is determined how the identified configuration of the heat pump (20) should be optimized, wherein the second information indicates an optimized value for at least one configuration parameter of the heat pump (20), wherein the method further optionally comprises: transmitting (220) the generated information to an output device that is configured to output a presentation for a user, which provides the user with at least a part of the generated information.

9. Method according to claim 8, further comprising: transmitting (222) the second information to a control device of the heat pump (20), wherein the control device is configured to set the at least one configuration parameter of the heat pump (20) to the optimized value on the basis of the second information.

10. Method according to one of claims 1 to 9, further comprising, before identifying (212) the configuration of the heat pump: detecting (206), on the basis of the time series of measured values, that the operating site comprises a heat pump (20); and / or receiving (208) third information that indicates that the operating site comprises a heat pump (20), wherein the third information indicates in particular a name, an identification number, a manufacturer and / or an indication of adjustable configuration parameters of the heat pump (20).

11. Computer program product, comprising instructions that, when executed by at least one computing unit (2), cause the at least one computing unit (2) to carry out the method according to one of claims 1 to 10.

12. System (100), comprising: at least one computing unit (2) that is configured to carry out the method according to one of claims 1 to 10.

13. System (100) according to claim 12, further comprising: a measured-value provision unit (4) that is configured to provide the measured values of the total power consumption to the at least one computing unit (2), wherein the system (100) further optionally comprises: a power meter device (8) that is configured to measure the total power consumption of the operating site in order to generate the measured values, wherein further optionally the at least one computing unit (2) is part of a cloud-based computing system or part of a smart meter (6).