Building carbon emission determination method and device and electronic equipment

Abstract

The invention discloses a building carbon emission determination method and device and electronic equipment. The method comprises the steps that the electric energy consumption of a target building in a preset time period is acquired, and the electric energy consumption comprises electric sub-energy consumption corresponding to a plurality of target electric appliances of the target building; non-electric energy consumption of the target building in the preset time period is obtained, and the non-electric energy consumption comprises gas energy consumption and thermal energy consumption; target electric power carbon emission factors corresponding to the electric power energy consumption and target non-electric power carbon emission factors corresponding to the non-electric power energy consumption are determined, and the target non-electric power carbon emission factors comprise a target fuel gas carbon emission factor and a target thermal carbon emission factor; and based on the electric power consumption and the target electric power carbon emission factor, and the non-electric power consumption and the target non-electric power carbon emission factor, obtaining the carbon emission of the target building in the predetermined time period. According to the invention, the technical problem of inaccurate carbon emission calculation in building energy management caused by difficult efficient integration of multivariate data in related technologies is solved.

Description

Technical Field

[0001] This invention relates to the field of electricity, and more specifically, to a method, apparatus, and electronic device for determining building carbon emissions. Background Technology

[0002] In modern society, building energy consumption has become a significant component of global energy consumption and carbon emissions. Traditional building energy management methods, such as manual meter reading and estimations based on fixed energy consumption patterns, are not only inefficient but also fail to provide real-time and accurate energy consumption and carbon emission figures, thus failing to meet the demands of modern, sophisticated building management. With the rapid development of information technology and the widespread adoption of smart grids and the Internet of Things (IoT), the intelligence level of building energy management systems has significantly improved. However, dealing with numerous users' metering data not only leads to high communication costs and data storage challenges but also increases the computational resources required for simultaneous data extraction and processing. Furthermore, the lack of efficient methods for integrating diverse data in related technologies results in inaccurate carbon emission calculations in building energy management.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a method, apparatus, and electronic device for determining building carbon emissions, which at least solves the technical problem that related technologies struggle to efficiently integrate diverse data, leading to inaccurate carbon emission calculations in building energy management.

[0005] According to one aspect of the present invention, a method for determining building carbon emissions is provided, comprising: acquiring the power consumption of a target building during a predetermined time period, wherein the power consumption includes power sub-consumption corresponding to a plurality of target electrical appliances of the target building; acquiring the non-power consumption of the target building during the predetermined time period, wherein the non-power consumption includes gas energy consumption and heat energy consumption; determining a target power carbon emission factor corresponding to the power consumption and a target non-power carbon emission factor corresponding to the non-power consumption, wherein the target non-power carbon emission factor includes a target gas carbon emission factor and a target heat carbon emission factor; and acquiring the carbon emissions of the target building during the predetermined time period based on the power consumption and the target power carbon emission factor, as well as the non-power consumption and the target non-power carbon emission factor.

[0006] Optionally, obtaining the power consumption of the target building during a predetermined time period includes: identifying the appliance types corresponding to the plurality of target appliances; detecting the operating status of the plurality of target appliances during the predetermined time period; obtaining the power sub-consumption of the plurality of target appliances during the predetermined time period based on the appliance type and the operating status; and obtaining the power consumption based on the power sub-consumption.

[0007] Optionally, obtaining the power sub-energy consumption corresponding to the plurality of target electrical appliances in the predetermined time period based on the appliance type and the operating state includes: obtaining the average power of the appliances of the appliance type in the operating state; and obtaining the power sub-energy consumption based on the average power and the length of the predetermined time period.

[0008] Optionally, determining the target power carbon emission factor corresponding to the power consumption includes: obtaining the initial power carbon emission factor corresponding to the area to which the target building belongs; obtaining the output power of the distributed generation system of the target building and the charging and discharging state of the energy storage system during the predetermined time period; and updating the initial power carbon emission factor based on the power consumption, the output power, and the charging and discharging state to obtain the target power carbon emission factor.

[0009] Optionally, updating the initial power carbon emission factor based on the power consumption, the output power, and the charging / discharging state to obtain the target power carbon emission factor includes: obtaining the ratio of output power to power consumption at the output power as a first contribution rate; obtaining the ratio of charging / discharging amount to power consumption at the charging / discharging state as a second contribution rate; and updating the initial power carbon emission factor based on the first contribution rate and the second contribution rate to obtain the target power carbon emission factor.

[0010] Optionally, determining the target non-electric carbon emission factor corresponding to the non-electric energy consumption, wherein the non-electric carbon emission factor includes a target gas carbon emission factor and a target thermal carbon emission factor, includes: obtaining the initial gas carbon emission factor and the initial thermal carbon emission factor corresponding to the area to which the target building belongs; obtaining the gas conversion efficiency corresponding to the gas equipment and the thermal conversion efficiency corresponding to the thermal equipment of the target building; obtaining the insulation index of the insulation system and the ventilation index of the ventilation system of the target building during the predetermined time period; updating the initial gas carbon emission factor based on the gas conversion efficiency to obtain the target gas carbon emission factor; and updating the initial thermal carbon emission factor based on the thermal conversion efficiency, the insulation index, and the ventilation index to obtain the target thermal carbon emission factor.

[0011] According to another aspect of the present invention, a building carbon emission determination device is provided, comprising: a first acquisition module, configured to acquire the power consumption of a target building during a predetermined time period, wherein the power consumption includes power sub-energy consumption corresponding to a plurality of target electrical appliances of the target building; a second acquisition module, configured to acquire the non-power consumption of the target building during the predetermined time period, wherein the non-power consumption includes gas energy consumption and heat energy consumption; a determination module, configured to determine a target power carbon emission factor corresponding to the power consumption and a target non-power carbon emission factor corresponding to the non-power consumption, wherein the target non-power carbon emission factor includes a target gas carbon emission factor and a target heat carbon emission factor; and a third acquisition module, configured to acquire the carbon emission amount of the target building during the predetermined time period based on the power consumption and the target power carbon emission factor, as well as the non-power consumption and the target non-power carbon emission factor.

[0012] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, it controls the device where the computer-readable storage medium is located to perform the building carbon emission determination method described in any one of the preceding claims.

[0013] According to another aspect of the present invention, an electronic device is provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program, when running, executes the building carbon emission determination method described in any one of the preceding claims.

[0014] According to another aspect of the present invention, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the steps of any of the methods for determining building carbon emissions.

[0015] In this embodiment of the invention, by acquiring the power consumption of a target building over a predetermined time period, wherein the power consumption includes the power sub-consumption corresponding to multiple target electrical appliances of the target building; acquiring the non-power consumption of the target building over the predetermined time period, wherein the non-power consumption includes gas energy consumption and heat energy consumption; determining the target power carbon emission factor corresponding to the power consumption and the target non-power carbon emission factor corresponding to the non-power consumption, wherein the target non-power carbon emission factor includes the target gas carbon emission factor and the target heat carbon emission factor; and based on the power consumption and the target power carbon emission factor, as well as the non-power consumption and the target non-power carbon emission factor, acquiring the carbon emissions of the target building over the predetermined time period, the invention achieves the goal of accurately estimating the carbon emissions of the target building over the predetermined time period based on multiple energy consumptions, thereby improving the accuracy of determining the carbon emissions of the target building, assisting in the energy management and energy conservation and emission reduction of the target building, and solving the technical problem that related technologies are difficult to efficiently integrate multi-dimensional data, resulting in inaccurate carbon emission calculations in building energy management. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0017] Figure 1 This is a flowchart of a method for determining building carbon emissions according to an embodiment of the present invention;

[0018] Figure 2 This is a structural diagram of a host computer according to an optional embodiment of the present invention;

[0019] Figure 3 This is a structural block diagram of a building carbon emission determination device according to an embodiment of the present invention. Detailed Implementation

[0020] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0021] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0022] First, some nouns or terms that appear in the description of the embodiments of this application shall be interpreted as follows:

[0023] The electricity carbon emission factor refers to the amount of carbon dioxide emitted per unit of electricity consumption (usually kilowatt-hours, kWh) (typically expressed as kilograms of CO2 / kWh). This factor typically reflects the total carbon emissions during the electricity production process, from fuel extraction, transportation, and processing to power generation. It is closely related to the source of electricity; for example, regions using coal-fired power have higher electricity carbon emission factors, while regions relying on renewable energy sources, such as hydropower, wind power, or solar power, have lower electricity carbon emission factors.

[0024] Carbon emission factor of gas refers to the carbon emission factor per unit of gas consumed (usually expressed in cubic meters per cubic meter). 3 The carbon dioxide emissions corresponding to (or kilojoules kJ) (also expressed as kilograms CO2 / m³) 3 (Or expressed as CO2 / kJ). Gases mainly include natural gas, liquefied petroleum gas, etc., and their carbon emission factors are affected by factors such as the type of gas, combustion efficiency, and by-products in the combustion process.

[0025] The thermal carbon emission factor defines the amount of carbon dioxide emitted (expressed as kg CO2 / kJ or kg CO2 / GJ) per unit of heat energy provided (usually expressed in kilojoules (kJ) or gigajoules (GJ)). Heat comes from various sources, including but not limited to the combustion of fossil fuels such as coal, oil, and gas, as well as renewable energy sources such as geothermal and solar energy. The thermal carbon emission factor is affected by the type of heat source, the heat conversion efficiency (such as combined heat and power, heat pump systems, etc.), and the emission control technologies used in energy use.

[0026] According to an embodiment of the present invention, an embodiment of a method for determining building carbon emissions is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0027] Figure 1 This is a flowchart of a method for determining building carbon emissions according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0028] Step S102: Obtain the power consumption of the target building during a predetermined time period, wherein the power consumption includes the power sub-consumption corresponding to each of the target electrical appliances in the target building.

[0029] As an optional embodiment, the execution subject of this method can be a terminal or a server for determining building carbon emissions. When applied to a terminal, building carbon emissions can be determined easily; when applied to a server, the server's abundant computing resources can be utilized, allowing for more accurate determination of building carbon emissions. The terminal can be of various types, such as a mobile terminal with certain computing capabilities or a fixed computer device with identification capabilities. Similarly, the server can be of various types, such as a local server or a virtual cloud server. Depending on computing power, it can be a single computer device or a computer cluster integrating multiple computer devices.

[0030] As an optional embodiment, the target building can have a variety of equipment, which can be powered by different types of energy, such as electrical appliances, gas appliances, and heating equipment. The consumption of different types of energy will increase carbon emissions. In order to accurately determine the carbon emissions of the target building, the energy consumption of the equipment in the target building can be accurately obtained first.

[0031] As an optional implementation, various methods can be used to obtain the power consumption of a target building over a predetermined time period. For example, the appliance types corresponding to multiple target appliances can be identified; the operating status of multiple target appliances can be detected within the predetermined time period; based on the appliance type and operating status, the sub-energy consumption of multiple target appliances within the predetermined time period can be obtained; and based on the sub-energy consumption, the total power consumption can be obtained. For instance, intelligent sensors and IoT devices deployed inside the target building can identify the type of each target appliance, such as air conditioners, refrigerators, and lighting systems, and continuously monitor their operating status, such as on / off status, operating mode, and energy consumption level. Sensor data is transmitted in real-time to a host computer via a wireless network. The host computer software can calculate the sub-energy consumption of each appliance within the predetermined time period based on the appliance type and operating status, and then summarize the total power consumption. By accurately identifying the appliance type and operating status, the accuracy of calculating the sub-energy consumption of appliances is improved, thereby improving the accuracy of the overall power consumption calculation.

[0032] In a computer control system, the host computer (SCADA) is responsible for managing, monitoring, and coordinating the operation of the entire system. It typically resides at a higher level within the system hierarchy, communicating with lower-level computers (such as sensors, actuators, or lower-level controllers) to collect data, issue commands, and perform complex data processing and decision-making. In building energy management, the SCADA system can be used to integrate and analyze data from various energy metering devices, enabling functions such as energy efficiency optimization and carbon emission calculation.

[0033] As an optional embodiment, various methods can be used to obtain the sub-energy consumption of multiple target electrical appliances within a predetermined time period based on appliance type and operating status. For example, the average power of each appliance type under its operating status can be obtained; the sub-energy consumption can then be obtained based on the average power and the length of the predetermined time period. For identified appliance types, the host computer pre-stores the average power data of various appliances under different operating states. By reading this data and combining it with the actual operating time of the appliances within the predetermined time period, the specific sub-energy consumption of multiple target electrical appliances can be calculated. By calculating the sub-energy consumption based on the average power of the corresponding appliance type and operating state, as well as the length of the predetermined time period, the energy consumption calculation can be dynamically adjusted according to the actual usage of the appliances.

[0034] Step S104: Obtain the non-electric energy consumption of the target building during a predetermined time period, wherein the non-electric energy consumption includes gas energy consumption and heat energy consumption.

[0035] As an optional implementation, various methods can be used to obtain the non-electrical energy consumption of a target building over a predetermined time period. For example, smart metering devices can be installed on gas and heat supply pipelines to monitor gas and heat consumption in real time and upload the data to a central processing system. Furthermore, a remote meter reading system can be used to periodically collect and upload readings from gas and heat meters to verify the accuracy and integrity of the metering devices. Accurate measurement of non-electrical energy consumption allows for a comprehensive assessment of the building's energy usage, avoiding errors caused by calculating only electricity consumption, and making the calculation of building carbon emissions more comprehensive and accurate.

[0036] Step S106: Determine the target electricity carbon emission factor corresponding to electricity energy consumption and the target non-electricity carbon emission factor corresponding to non-electricity energy consumption, wherein the target non-electricity carbon emission factor includes the target gas carbon emission factor and the target thermal carbon emission factor.

[0037] As an optional implementation, various methods can be used to determine the target carbon emission factor corresponding to power consumption. For example, the initial carbon emission factor corresponding to the area where the target building is located can be directly obtained as the target carbon emission factor corresponding to power consumption. Another example is to obtain the initial carbon emission factor corresponding to the area where the target building is located; obtain the output power of the distributed generation system of the target building and the charging / discharging status of the energy storage system during a predetermined time period; and update the initial carbon emission factor based on power consumption, output power, and charging / discharging status to obtain the target carbon emission factor. That is, the initial carbon emission factor is used as a benchmark, and updated and adjusted according to the actual situation of the target building. For example, the real-time output power of the distributed generation system and the charging / discharging status of the energy storage system can be monitored by sensors during a predetermined time period, taking into account the influence of the building's self-generation and energy storage system, so that the updated carbon emission factor better reflects the net external carbon emissions of the target building.

[0038] As an optional implementation, various methods can be used to update the initial power carbon emission factor and obtain the target power carbon emission factor based on power consumption, output power, and charge / discharge state. For example, the ratio of output power to power consumption at the output power level can be obtained as the first contribution rate; the ratio of charge / discharge amount to power consumption at the charge / discharge state can be obtained as the second contribution rate; the initial power carbon emission factor is updated based on the first and second contribution rates to obtain the target power carbon emission factor. First, the actual contribution rates of the distributed generation system and the energy storage system are calculated, i.e., the proportion of energy generated by each to the total power consumption. Second, based on these two contribution rates, the value of the initial power carbon emission factor can be reduced proportionally to reflect the zero-emission characteristics of the target building's self-generated energy and stored energy, ultimately obtaining the target power carbon emission factor. By dynamically assessing the impact of renewable energy and stored energy on power consumption, a more accurate and scientific target power carbon emission factor can be obtained, thereby determining a more accurate amount of power carbon emissions based on the target power carbon emission factor and power consumption.

[0039] As an optional embodiment, various methods can be used to determine the target non-electric carbon emission factor corresponding to non-electric energy consumption, where the non-electric carbon emission factor includes the target gas carbon emission factor and the target thermal carbon emission factor. For example, the initial gas carbon emission factor and initial thermal carbon emission factor corresponding to the area where the target building is located can be directly obtained as the target gas carbon emission factor and target thermal carbon emission factor. However, this is a carbon emission factor estimated based on the regional average level, which contains errors for the target building. Another example is to obtain the initial gas carbon emission factor and initial thermal carbon emission factor corresponding to the area where the target building is located; obtain the gas conversion efficiency corresponding to the gas equipment and the thermal conversion efficiency corresponding to the thermal equipment of the target building; obtain the insulation index of the insulation system and the ventilation index of the ventilation system of the target building during a predetermined time period; update the initial gas carbon emission factor based on the gas conversion efficiency to obtain the target gas carbon emission factor; update the initial thermal carbon emission factor based on the thermal conversion efficiency, insulation index, and ventilation index to obtain the target thermal carbon emission factor.

[0040] By acquiring the gas conversion efficiency of the gas equipment and the thermal conversion efficiency of the heating equipment in a target building, the performance of these devices can be evaluated. Higher performance means higher conversion efficiency, resulting in less gas and heat energy consumption for the same amount of work. The actual thermal and cooling efficiency of heating equipment is affected not only by thermal conversion efficiency but also by the environment, specifically the target building. The building's specific design, such as insulation and ventilation systems, also impacts energy efficiency. The efficiency of building insulation and ventilation systems can be assessed in various ways. For example, sensors can be used to collect data on indoor temperature, humidity, and outdoor climate conditions, and the status of the insulation and ventilation systems can be monitored. By comprehensively considering equipment efficiency and environmental factors, the updated non-electric carbon emission factor better reflects the actual carbon emissions of a building in terms of gas and heat usage.

[0041] Step S108: Based on power consumption and target power carbon emission factor, as well as non-power consumption and target non-power carbon emission factor, obtain the carbon emissions of the target building over a predetermined period.

[0042] As an optional implementation, various methods can be used to obtain the carbon emissions of a target building over a predetermined period based on electricity consumption and the target electricity carbon emission factor, as well as non-electricity consumption and the target non-electricity carbon emission factor. For example, the collected electricity consumption data can be multiplied by the target electricity carbon emission factor, and the non-electricity consumption data (gas consumption and heat consumption) can be multiplied by their respective target non-electricity carbon emission factors to calculate the total carbon emissions of the target building over the predetermined period. By comprehensively considering all aspects of energy consumption within the building, the above methods can provide more comprehensive and accurate carbon emission calculation results, which helps to understand the carbon emission situation of the target building in a timely manner and also helps to promote the target building to take necessary energy-saving and emission-reduction measures.

[0043] By acquiring the electricity consumption of a target building over a predetermined time period, including the electricity sub-consumption corresponding to multiple target electrical appliances in the target building; acquiring the non-electrical energy consumption of the target building over the predetermined time period, including gas energy consumption and thermal energy consumption; determining the target electricity carbon emission factor corresponding to the electricity consumption and the target non-electrical carbon emission factor corresponding to the non-electrical energy consumption, including the target gas carbon emission factor and the target thermal carbon emission factor; and based on the electricity consumption and the target electricity carbon emission factor, as well as the non-electrical energy consumption and the target non-electrical carbon emission factor, obtaining the carbon emissions of the target building over the predetermined time period, the goal of accurately estimating the carbon emissions of the target building over the predetermined time period based on multiple energy consumptions is achieved. This improves the accuracy of determining the carbon emissions of the target building, assists in the energy management and energy conservation and emission reduction of the target building, and solves the technical problem of inaccurate carbon emission calculation in building energy management caused by the difficulty in efficiently integrating multi-dimensional data.

[0044] In determining building carbon emissions, the sheer volume of data collected necessitates addressing the high communication costs and data storage challenges associated with directly uploading all raw data to the cloud. Therefore, effective data processing and compression methods are needed to reduce the burden of data transmission and storage. Simultaneously extracting and processing metering data from numerous users requires substantial computing resources. This not only increases costs but may also impact data processing efficiency and real-time performance. Therefore, optimizing algorithms and improving computational efficiency are crucial. With the rise and development of the ubiquitous power internet of things (IoT), user demand for intelligent services is constantly increasing, while user awareness of personal privacy protection is also strengthening. How to meet user needs while ensuring the security and privacy of user data has become an urgent problem to be solved.

[0045] Based on the above embodiments and optional embodiments, an optional implementation method is provided. In this optional implementation method, a data processing method using a host computer is proposed to process multi-element energy consumption data of a building, thereby obtaining the carbon emission estimation result of the building. Figure 2 This is a structural diagram of a host computer according to an optional embodiment of the present invention, such as... Figure 2 As shown, the host computer includes the following structure.

[0046] S1, Energy Consumption Item Matching Module.

[0047] The energy consumption sub-item matching module is used to achieve accurate measurement of various types of energy consumption. By applying the average power data of electrical appliances, this unit can calculate the energy consumption of the appliances during operation.

[0048] The specific process includes: (1) Appliance identification and classification: First, the energy consumption sub-item matching module identifies various electrical appliances connected to the building energy system through a pre-established appliance database, including but not limited to air conditioners, refrigerators, water heaters, lighting systems, etc., and classifies them in detail to lay the foundation for subsequent energy consumption analysis. (2) Average power data acquisition: For each appliance, the energy consumption sub-item matching module collects its average power data under different operating modes. This data usually comes from the appliance manufacturer's specifications, historical operating records, or is obtained through real-time testing. (3) Operating status monitoring: The energy consumption sub-item matching module continuously monitors the operating status of each appliance, including the appliance's start-up and shutdown times, as well as power changes during operation. Through communication with metering equipment, it obtains the appliance's operating information in real time. (4) Data matching and calculation: Based on the monitored appliance operating status and average power data, the energy consumption sub-item matching module performs energy consumption sub-item matching. Specifically, it matches the electricity consumed by the appliance in each time period with the appliance's average power to calculate the actual energy consumption in that time period. For example, for an air conditioner, the module calculates how much electricity it consumes in each hour of operation. (5) Energy consumption data integration: For multiple appliances operating within the same time period, the energy consumption sub-item matching module will summarize their energy consumption data to form the total energy consumption for that time period, so as to facilitate overall analysis and management.

[0049] S2, Energy Carbon Metering Module.

[0050] The core responsibility of the energy consumption carbon metering module is to perform carbon emission calculations for energy consumption.

[0051] First, the indirect carbon emission factor is adjusted based on the output capacity and total load of the building's photovoltaic energy storage system. Then, the building's electricity consumption and carbon emissions are measured by time and project segmentation, taking into account the direct carbon emission factor and the operating time of electrical equipment.

[0052] Considering other energy sources such as water and gas that may be used in the building, this unit also stores carbon emission factors for other energy sources to more comprehensively measure the carbon emissions of residential buildings. The carbon emission factors for gas and heat can refer to recommended values ​​in relevant regulations, including the carbon emission factor for heat supply, the lower heating value of fossil fuels, carbon content per unit calorific value, and carbon oxidation rate. For heating systems, especially centralized heating or hot water supply systems, the conversion efficiency from energy input to final heat output is calculated, including the efficiency of the heating station, the efficiency of the pipeline network, and the thermal efficiency of the building's terminal equipment. For gas-powered equipment, such as water heaters or cooking appliances, the efficiency of energy conversion from combustion to heat generation is assessed, as well as the efficiency variations of the equipment under different operating modes. The thermal carbon emission factor is adjusted according to the climate environment of the target building, such as average temperature and humidity, because the operating efficiency and energy consumption of the heating system will vary under different climatic conditions. Specific building designs, such as insulation performance and ventilation systems, also affect energy efficiency and carbon emissions.

[0053] To ensure user privacy and security, after completing the carbon emission calculation task, the unit will delete the user electricity consumption information uploaded by the data collection device from the system, and retain the user electricity consumption data only in each household's electricity meter, which will be available for verification by users or building managers after appropriate approval procedures.

[0054] S3, Human-Computer Interaction Module.

[0055] The human-computer interaction module is responsible for human-computer interaction, primarily displaying time-of-use and item-specific energy consumption and carbon emission data to building managers through a software interface. The module can also be expanded to include displaying information such as the output of distributed energy and other energy sources, and the operational status of public appliances.

[0056] S4, communication module.

[0057] The communication module is responsible for data communication between the host computer and various metering devices. Its main function is to receive source-load information from the metering devices and issue corresponding control commands as needed. Efficient data communication ensures the smooth operation of the entire system and real-time information updates.

[0058] In addition, to ensure the security of data transmission, the communication module can adopt encryption technology and secure communication protocols to prevent data from being eavesdropped on or tampered with, and to ensure the integrity and confidentiality of the "source-load" information.

[0059] According to an embodiment of the present invention, a device for determining building carbon emissions is provided. Figure 3 This is a structural block diagram of a building carbon emission determination device according to an embodiment of the present invention, such as... Figure 3As shown, the device includes: a first acquisition module 302, a second acquisition module 304, a determination module 306, and a third acquisition module 308. The device will be described below.

[0060] The first acquisition module 302 is used to acquire the power consumption of the target building during a predetermined time period, wherein the power consumption includes the power sub-consumption corresponding to multiple target electrical appliances of the target building; the second acquisition module 304 is connected to the first acquisition module 302 and is used to acquire the non-power consumption of the target building during the predetermined time period, wherein the non-power consumption includes gas energy consumption and heat energy consumption; the determination module 306 is connected to the second acquisition module 304 and is used to determine the target power carbon emission factor corresponding to the power consumption and the target non-power carbon emission factor corresponding to the non-power consumption, wherein the target non-power carbon emission factor includes the target gas carbon emission factor and the target heat carbon emission factor; the third acquisition module 308 is connected to the determination module 306 and is used to acquire the carbon emissions of the target building during the predetermined time period based on the power consumption and the target power carbon emission factor, as well as the non-power consumption and the target non-power carbon emission factor.

[0061] It should be noted that the first acquisition module 302, the second acquisition module 304, the determination module 306 and the third acquisition module 308 mentioned above correspond to steps S102 to S108 in the embodiments. The multiple modules and the corresponding steps implement the same instances and application scenarios, but are not limited to the content disclosed in the above embodiments.

[0062] As an optional embodiment, the first acquisition module 302 includes: an identification unit, a detection unit, a first acquisition unit, and a second acquisition unit. The identification unit is used to identify the appliance types corresponding to the multiple target appliances; the detection unit, connected to the identification unit, is used to detect the operating states of the multiple target appliances during a predetermined time period; the first acquisition unit, connected to the detection unit, is used to acquire the power consumption of the multiple target appliances during the predetermined time period based on the appliance type and operating state; and the second acquisition unit, connected to the first acquisition unit, is used to acquire the power consumption based on the power consumption.

[0063] As an optional embodiment, the first acquisition unit includes a first acquisition subunit and a second acquisition subunit. The first acquisition subunit is used to acquire the average power of electrical appliances of different types during operation. The second acquisition subunit, connected to the first acquisition subunit, is used to acquire the power consumption based on the average power and the length of a predetermined time period.

[0064] As an optional embodiment, the determining module 306 includes: a third acquisition unit, a fourth acquisition unit, and a first updating unit. Specifically, it acquires the initial electricity carbon emission factor corresponding to the region where the target building is located; acquires the output power of the distributed generation system of the target building and the charging / discharging state of the energy storage system during a predetermined time period; and updates the initial electricity carbon emission factor based on the electricity consumption, output power, and charging / discharging state to obtain the target electricity carbon emission factor.

[0065] As an optional embodiment, the first updating unit includes: a third acquisition subunit, a fourth acquisition subunit, and an updating subunit. The third acquisition subunit is used to acquire the ratio of output power to power consumption at the output power level, as a first contribution rate; the fourth acquisition subunit, connected to the third acquisition subunit, is used to acquire the ratio of charge / discharge amount to power consumption during charge / discharge states, as a second contribution rate; the updating subunit, connected to the fourth acquisition subunit, is used to update the initial power carbon emission factor based on the first and second contribution rates to obtain the target power carbon emission factor.

[0066] As an optional embodiment, the determining module 306 further includes: a fifth acquisition unit, a sixth acquisition unit, a seventh acquisition unit, a second updating unit, and a third updating unit. The fifth acquisition unit is used to acquire the initial gas carbon emission factor and the initial thermal carbon emission factor corresponding to the area where the target building belongs; the sixth acquisition unit, connected to the fifth acquisition unit, is used to acquire the gas conversion efficiency corresponding to the gas equipment and the thermal conversion efficiency corresponding to the thermal equipment of the target building; the seventh acquisition unit, connected to the sixth acquisition unit, is used to acquire the insulation index of the insulation system and the ventilation index of the ventilation system of the target building during a predetermined time period; the second updating unit, connected to the seventh acquisition unit, is used to update the initial gas carbon emission factor based on the gas conversion efficiency to obtain the target gas carbon emission factor; the third updating unit, connected to the second updating unit, is used to update the initial thermal carbon emission factor based on the thermal conversion efficiency, the insulation index, and the ventilation index to obtain the target thermal carbon emission factor.

[0067] According to an embodiment of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, it controls the device where the computer-readable storage medium is located to execute the building carbon emission determination method described in any one of the above-mentioned methods.

[0068] According to an embodiment of the present invention, an electronic device is provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the building carbon emission determination method described in any one of the preceding embodiments.

[0069] According to an embodiment of the present invention, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of any of the methods described above.

[0070] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0071] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0072] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0073] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0074] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0075] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0076] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining building carbon emissions, characterized in that, include: Obtain the power consumption of the target building during a predetermined time period, wherein the power consumption includes the power sub-consumption corresponding to each of the multiple target electrical appliances in the target building; Obtain the non-electric energy consumption of the target building during the predetermined time period, wherein the non-electric energy consumption includes gas energy consumption and heat energy consumption; The target carbon emission factor corresponding to the electricity consumption and the target non-electric carbon emission factor corresponding to the non-electric energy consumption are determined respectively, wherein the target non-electric carbon emission factor includes the target gas carbon emission factor and the target thermal carbon emission factor. Based on the power consumption and the target power carbon emission factor, as well as the non-power consumption and the target non-power carbon emission factor, the carbon emissions of the target building during the predetermined time period are obtained.

2. The method according to claim 1, characterized in that, The acquisition of the target building's power consumption over a predetermined time period includes: Identify the appliance types corresponding to the multiple target appliances; Detect the operating status of the plurality of target electrical appliances respectively during the predetermined time period; Based on the appliance type and the operating status, obtain the power sub-energy consumption corresponding to the multiple target appliances in the predetermined time period; The power consumption is obtained based on the power sub-energy consumption.

3. The method according to claim 2, characterized in that, The step of obtaining the power sub-energy consumption corresponding to the multiple target electrical appliances in the predetermined time period based on the appliance type and the operating status includes: The average power of each electrical appliance of the specified type under the specified operating condition is obtained; The power consumption is obtained based on the average power and the length of the predetermined time period.

4. The method according to claim 1, characterized in that, Determining the target electricity carbon emission factor corresponding to the electricity consumption includes: Obtain the initial electricity carbon emission factor corresponding to the area where the target building is located; The output power of the distributed generation system of the target building and the charging and discharging status of the energy storage system during the predetermined time period are obtained. Based on the power consumption, the output power, and the charging / discharging state, the initial power carbon emission factor is updated to obtain the target power carbon emission factor.

5. The method according to claim 4, characterized in that, The process of updating the initial electricity carbon emission factor based on the power consumption, the output power, and the charge / discharge state to obtain the target electricity carbon emission factor includes: The ratio of the output power to the power consumption at the output power is obtained as the first contribution rate; The ratio of the charge / discharge amount to the power consumption under the charge / discharge state is obtained as the second contribution rate; Based on the first contribution rate and the second contribution rate, the initial electricity carbon emission factor is updated to obtain the target electricity carbon emission factor.

6. The method according to any one of claims 1 to 5, characterized in that, The determination of the target non-electric carbon emission factor corresponding to the non-electric energy consumption, wherein the non-electric carbon emission factor includes a target gas carbon emission factor and a target thermal carbon emission factor, comprising: Obtain the initial gas carbon emission factor and the initial thermal carbon emission factor corresponding to the area to which the target building belongs; Obtain the gas conversion efficiency of the gas equipment and the thermal conversion efficiency of the thermal equipment in the target building; Obtain the insulation index of the target building's insulation system and the ventilation index of its ventilation system during the predetermined time period; Based on the gas conversion efficiency, the initial gas carbon emission factor is updated to obtain the target gas carbon emission factor; Based on the thermal conversion efficiency, the insulation index, and the ventilation index, the initial thermal carbon emission factor is updated to obtain the target thermal carbon emission factor.

7. A device for determining building carbon emissions, characterized in that, include: The first acquisition module is used to acquire the power consumption of the target building during a predetermined time period, wherein the power consumption includes the power sub-consumption corresponding to multiple target electrical appliances of the target building. The second acquisition module is used to acquire the non-electric energy consumption of the target building during the predetermined time period, wherein the non-electric energy consumption includes gas energy consumption and thermal energy consumption; The determination module is used to determine the target electricity carbon emission factor corresponding to the electricity energy consumption and the target non-electricity carbon emission factor corresponding to the non-electricity energy consumption, wherein the target non-electricity carbon emission factor includes the target gas carbon emission factor and the target thermal carbon emission factor. The third acquisition module is used to acquire the carbon emissions of the target building during the predetermined time period based on the power consumption and the target power carbon emission factor, as well as the non-power consumption and the target non-power carbon emission factor.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device on which the computer-readable storage medium is located to perform the building carbon emission determination method according to any one of claims 1 to 6.

9. An electronic device, characterized in that, include: Memory, which stores executable programs; A processor for running the program, wherein the program executes the method for determining building carbon emissions according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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