A new energy interactive operation and carbon footprint tracing system and method

Abstract

This invention relates to the field of carbon emissions, specifically to a new energy interactive operation and carbon footprint tracing system and method; an energy interaction hub, including a new energy access unit, an energy router, and a load scheduling unit; a carbon footprint accounting engine, including a data acquisition unit, an accounting model unit, and a report generation unit; the data acquisition unit is connected to the energy interaction hub, and the accounting model unit is connected to the data acquisition unit and the report generation unit respectively; a visual tracing platform is connected to the carbon footprint accounting engine and the energy interaction hub network respectively; a communication and security unit is bidirectionally connected to all nodes of the energy interaction hub, the carbon footprint accounting engine, and the visual tracing platform respectively, for realizing encrypted protection of transmitted data and secure backup of stored data throughout the system; this invention solves the problems of low energy flow efficiency and large carbon emission statistical errors caused by the disconnect between energy interaction and carbon footprint tracing in the prior art.

Description

Technical Field

[0001] This invention relates to the field of carbon emissions, specifically to a new energy interactive operation and carbon footprint tracing system and method. Background Technology

[0002] With the advancement of dual-carbon goals, the demand for new energy operations in scenarios such as commercial parks and large complexes is increasing, and the diversification of energy supply and the complexity of load types have become the main characteristics of industry development.

[0003] Existing new energy operation and management technologies mostly focus on single energy supply or single load management, lacking research on energy interaction mechanisms across different scenarios. This results in low efficiency of new energy circulation between different energy consumption scenarios such as office, commercial, and transportation, and frequent occurrences of power curtailment.

[0004] Currently, carbon emission statistics are mainly calculated manually. Specifically, managers regularly record metering data from electricity and gas meters in various areas, combine this data with the annual average emission factor published by the regional power grid, and use spreadsheet tools to perform post-event aggregation and calculation to estimate the carbon emissions of each area in the park and compile simplified reports.

[0005] The aforementioned manual accounting scheme has the following problems in practical applications: First, the data collection dimension is singular and incomplete, usually only able to obtain general table data, and cannot be refined to the specific device or scenario level; second, the accounting method lacks a unified standard, and different managers use different emission factor versions and calculation boundaries, resulting in large errors in carbon emission statistics results, with a high average error rate in the industry; in addition, the existing scheme calculates energy dispatch and carbon emission accounting separately, and cannot achieve real-time correlation and traceability between energy flow and carbon footprint. Summary of the Invention

[0006] To address the problems mentioned in the prior art, this invention proposes a new energy interactive operation and carbon footprint traceability system and method, aiming to realize the cross-scenario flow of new energy, full-link carbon footprint accounting, and dynamic optimization of low-carbon strategies, so as to solve the problems in the background art.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: This invention discloses a new energy interactive operation and carbon footprint traceability system, comprising: The energy interaction hub includes a new energy access unit, an energy router, and a load dispatching unit; the energy router is connected to the new energy access unit, and the load dispatching unit is connected to both the new energy access unit and the energy router. The carbon footprint accounting engine includes a data acquisition unit, an accounting model unit, and a report generation unit; the data acquisition unit is connected to the energy interaction hub, and the accounting model unit is connected to the data acquisition unit and the report generation unit respectively. The visual traceability platform is connected to the carbon footprint accounting engine and the energy interaction hub network, respectively. The communication and security unit is bidirectionally connected to all nodes of the energy interaction hub, carbon footprint accounting engine, and visual traceability platform to achieve encrypted protection of transmitted data and secure backup of stored data throughout the system.

[0008] As a further improvement of the present invention, the new energy access unit is electrically connected to the new energy power generation equipment and the energy router respectively, and is used to collect new energy power generation data and provide bidirectional power conversion; The energy router is also electrically connected to the mains power grid and various loads to enable bidirectional flow of electrical energy between different power consumption scenarios. The load scheduling unit is also connected to the load monitoring device located in each power consumption scenario to generate energy demand data based on a preset multi-objective optimization algorithm, with the highest utilization rate of new energy and the lowest carbon emissions as constraints.

[0009] As a further improvement of the present invention, the load dispatching unit also includes a peak-valley arbitrage dispatching submodule, which is used to control the energy router to transmit surplus electricity to the energy storage device for storage when the grid's off-peak electricity price period and the renewable energy generation exceeds the real-time load demand. During peak electricity price periods, the energy router is controlled to prioritize supplying the electricity released by the energy storage device to high-load electricity consumption scenarios in order to reduce the cost of purchasing electricity from external sources.

[0010] As a further improvement of the present invention, the data acquisition unit is used to acquire new energy power generation data, purchased electricity or heat consumption data and load electricity consumption data under various electricity consumption scenarios at a preset acquisition cycle. The calculation model unit is used to calculate carbon emissions according to the preset greenhouse gas accounting method and regional power grid emission factor, based on the electricity consumption scenario and / or time dimension, and generate net carbon emission data by combining the carbon offset amount of pre-connected carbon sink projects. The report generation unit is used to generate a carbon footprint traceability report in a specified format based on the net carbon emission data.

[0011] As a further improvement of the present invention, the accounting model unit is also used to calculate the carbon offset amount, which is derived from pre-accessed carbon sink project data, including park greening carbon sink data and / or photovoltaic power generation carbon emission reduction data. When calculating net carbon emission data, the accounting model unit deducts the calculated carbon offset amount to generate net carbon emission data.

[0012] As a further improvement of the present invention, the visualization traceability platform is used to generate and display energy interaction flowcharts, carbon footprint dashboards and carbon emission trend curves in real time based on the obtained net carbon emission data and energy demand data, and to export carbon footprint traceability reports for specified time periods and / or specified electricity consumption scenarios in response to query commands.

[0013] As a further improvement of the present invention, the visualization traceability platform is also used to generate a carbon footprint heat map, which visually indicates the real-time carbon emission intensity distribution of each area within the commercial complex through the degree of color intensity.

[0014] As a further improvement of the present invention, the communication and security unit further includes: The quantum encryption transmission module is used to encrypt the transmitted energy demand data and net carbon emission data with quantum keys. The key update frequency is synchronized with the preset acquisition cycle of the data acquisition unit. The data backup module employs a dual backup mechanism, with local and cloud backups. The local server stores core data in real time for a preset period, while the cloud stores historical data synchronously based on a distributed storage architecture. Backed-up data requires permission verification and data integrity checks before it can be accessed.

[0015] As a further improvement of the present invention, it also includes an infrastructure support layer, wherein the infrastructure support layer includes edge computing nodes disposed in each building unit; The edge computing nodes are communicatively connected to the sensors and actuators of the field energy-consuming equipment, and are used to perform local preprocessing and fault diagnosis on the collected equipment operating status data. The edge computing node is also connected to the energy interaction hub and the carbon footprint accounting engine network to upload pre-processed valid data, thereby reducing the data transmission load on the cloud or main station.

[0016] This invention proposes a method for interactive operation of new energy sources and carbon footprint tracing, applied to the aforementioned system, comprising the following steps: S1. Real-time power generation data of new energy power generation equipment is collected through the new energy access unit of the energy interaction center, and real-time power demand data of multiple loads under different power consumption scenarios in the commercial park are statistically analyzed through the load dispatching unit. S2. The load scheduling unit, based on a preset multi-objective optimization algorithm, takes the highest utilization rate of new energy and the lowest carbon emissions as constraints, processes the new energy power generation, energy storage device status and diverse load demands, generates and executes energy allocation instructions to control the energy router to dynamically allocate power among different power consumption scenarios; wherein, when the new energy power generation is sufficient, it prioritizes power supply to high energy consumption load scenarios and stores or supplies surplus power to flexible loads; when the new energy power generation is insufficient, it prioritizes calling energy storage devices to release energy and then supplements the gap by purchasing external power. S3. The data acquisition unit of the carbon footprint accounting engine acquires energy demand data, and the accounting model unit calculates carbon emissions according to the preset greenhouse gas accounting method and regional power grid emission factor, according to the electricity consumption scenario, and generates net carbon emission data for each scenario by combining the carbon offset amount of the pre-connected carbon sink project. S4. The visualization traceability platform updates and displays the energy interaction flowchart, carbon footprint dashboard and carbon emission trend curve in real time based on the generated net carbon emission data, and responds to the query instructions of the management personnel to export carbon footprint traceability reports for a specified time period and a specified electricity consumption scenario.

[0017] Compared with the prior art, the present invention achieves the following technical effects: This invention integrates an energy interaction hub, a carbon footprint accounting engine, a visual traceability platform, and a communication and security unit into a single system. The energy interaction hub is responsible for the real-time dynamic allocation of electricity across different scenarios. The carbon footprint accounting engine simultaneously tracks and calculates carbon emission data from each energy consumption stage. The visual traceability platform presents the data from both systems in an integrated manner. The communication and security unit ensures the security and reliability of data across the entire chain. This effectively solves the technical problems of low energy flow efficiency and large carbon emission statistical errors caused by the disconnect between energy interaction and carbon footprint traceability in existing technologies. As a result, it achieves the organic unity of the scenario flow of new energy and real-time carbon footprint traceability within the commercial park complex, providing systematic hardware and software collaborative support for end-to-end low-carbon management and significantly improving the comprehensive utilization rate of new energy and the transparency of carbon management. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the system framework of the present invention. Detailed Implementation

[0019] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0020] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0021] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0022] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection, an electrical connection, or a communication connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0023] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0024] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0025] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0026] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0027] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0028] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0029] Example 1 like Figure 1 As shown, this embodiment proposes a new energy interactive operation and carbon footprint traceability system, including: The energy interaction hub includes a new energy access unit, an energy router, and a load dispatching unit; the energy router is connected to the new energy access unit, and the load dispatching unit is connected to both the new energy access unit and the energy router. The carbon footprint accounting engine includes a data acquisition unit, an accounting model unit, and a report generation unit; the data acquisition unit is connected to the energy interaction hub, and the accounting model unit is connected to the data acquisition unit and the report generation unit respectively. The visual traceability platform is connected to the carbon footprint accounting engine and the energy interaction hub network, respectively. The communication and security unit is bidirectionally connected to all nodes of the energy interaction hub, carbon footprint accounting engine, and visual traceability platform to achieve encrypted protection of transmitted data and secure backup of stored data throughout the system.

[0030] The energy interaction hub in this embodiment consists of a new energy access unit, an energy router, and a load dispatching unit. The energy router is responsible for bidirectionally connecting new energy sources such as photovoltaics and ground source heat pumps with diverse loads including office area electricity (220V / 380V), commercial area air conditioning (380V power), and charging piles (DC 750V / 1000V), and mainly relies on intelligent switching switches to realize the flow of energy between different scenarios. The load dispatching unit performs multi-objective optimization according to the principles of maximizing new energy utilization, minimizing carbon emissions, and minimizing electricity costs, and dynamically adjusts the energy allocation scheme using weather data such as 12-hour solar irradiance and temperature forecasts obtained in advance. The new energy access unit is equipped with standardized interfaces, compatible with various models of photovoltaic inverters and ground source heat pump units, thereby collecting real-time data on new energy power generation.

[0031] The carbon footprint accounting engine comprises a data acquisition unit, an accounting model unit, and a report generation unit. The data acquisition unit collects data every 5 minutes on renewable energy generation, purchased electricity / heat consumption, and electricity load for various scenarios. This data primarily includes equipment energy consumption characteristics such as air conditioning operating power in commercial areas and the number of computers turned on in office areas. The accounting model unit, based on the IPCC greenhouse gas accounting method and considering regional power grid emission factors, accurately calculates the carbon waste heat emissions and carbon offsets of these devices according to spatial scenarios such as office areas, commercial areas, and charging pile areas, and considering time periods such as daily / monthly / quarterly / yearly. It then automatically deducts the carbon sinks from park greening, photovoltaic power generation, etc. The report generation unit, based on the generated net carbon emission data, exports a carbon footprint traceability report in a specific format.

[0032] The communication and security unit includes a quantum encryption transmission module and a data backup module. The quantum encryption transmission module uses quantum encryption technology to transmit and protect energy data and carbon footprint data. The key update frequency is synchronized with the data acquisition frequency (once every 5 minutes) to ensure the confidentiality of data transmission. The data backup module employs a dual local-cloud backup mechanism. The local server stores core data for the past three months in real time, while the cloud uses a distributed storage architecture to synchronize daily data and retain historical records for the past year. Furthermore, backup data requires both authorization verification and data integrity checks before it can be accessed, thus ensuring data security.

[0033] This system also includes an infrastructure support layer, which employs edge computing nodes deployed in each building unit to achieve local preprocessing of energy flow data and fault diagnosis, reducing the cloud transmission load. Its network topology reflects the hierarchical collaboration between the device layer, edge layer, and platform layer.

[0034] This system's visual traceability platform includes a real-time carbon footprint dashboard, energy interaction flowcharts, carbon emission trend curves, and a carbon footprint heatmap. It visually displays the real-time carbon emission intensity of various areas within the commercial complex using color depth (red indicates high carbon emissions, green indicates low carbon emissions), and allows users to query carbon emission data by scenario and time period. The platform also features carbon emission attribution analysis; clicking on relevant data reveals the main sources of carbon emissions, such as the proportion of purchased electricity and natural gas, helping managers identify key areas for low-carbon optimization.

[0035] When this system is in use, during off-peak electricity price periods, surplus electricity from photovoltaic and ground-source heat pumps is automatically stored in energy storage devices via the energy interaction hub. During peak electricity price periods, this stored energy is released to supply air conditioning and charging stations in commercial areas, thereby reducing the cost of purchasing electricity during peak hours. Furthermore, the load dispatching unit achieves optimal dispatching accuracy by calculating the energy storage charging and discharging demand 12 hours in advance based on comprehensive forecasts of renewable energy generation capacity and electricity consumption. It also monitors energy data in real time, increasing the energy storage charging power if the renewable energy surplus exceeds the forecast value by 10%. In addition, the actual data for the day is compared with the forecast data to adjust the algorithm parameters, ultimately achieving a renewable energy utilization rate of over 92%.

[0036] The load of the commercial complex is prioritized based on its importance and carbon sensitivity. Servers in the office area and cold chain equipment in the commercial area are classified as Level 1 loads and must be given priority for power supply. General lighting in the office area and air conditioning in the commercial area are Level 2 loads; their power can be limited when renewable energy sources are insufficient, and adjustments can be made quickly. Non-emergency charging stations and decorative lighting in the commercial area are Level 3 loads; their power supply can be flexibly adjusted during power supply periods, and surplus renewable energy will be prioritized. During system adjustments, the load priority will automatically switch based on the real-time output of renewable energy sources to balance the dual goals of ensuring critical power supply and reducing carbon emissions.

[0037] The calculation model unit in this embodiment supports multi-dimensional carbon emission statistics, capable of calculating the carbon emissions of a single scenario (such as a floor in a commercial area) or a single device (such as a central air conditioner). This addresses the issue of insufficient granularity in traditional calculation methods. Furthermore, it employs a moving average correction method, adjusting the calculation results every 30 minutes based on real-time renewable energy generation, keeping the calculation error within 5%, thus enabling the tracking of the carbon footprint within the commercial complex. Simulation of carbon footprint changes under different scheduling strategies through the infrastructure support layer provides simulation verification support for the optimization algorithm.

[0038] The system automatically generates low-carbon optimization suggestions based on carbon footprint data. For example, when the carbon emissions of air conditioning in a commercial area account for too high a proportion, it will recommend strategies such as adjusting the operating temperature and estimate the carbon reduction effect of the measures (for example, raising the cooling temperature from 24°C to 26°C in summer can reduce energy consumption by 15% and reduce carbon dioxide emissions by 0.18 tons per day). After the managers implement the strategies, the system will track the changes in carbon emissions in real time and evaluate the effectiveness of the strategies, thereby achieving a low-carbon optimization closed loop.

[0039] This embodiment provides a specific application of the system. In a smart infrastructure scenario in a commercial park, a 2MW rooftop photovoltaic system and a 500kW ground source heat pump are connected to an energy interaction hub, and 30,000m² 2 Office area, 20,000 square meters 2The commercial area and 100 charging stations are also connected. The park's energy management system (EMS) and power grid metering system are integrated with the carbon footprint accounting engine. Meanwhile, a visual traceability platform is deployed on the large screen in the park management center and a mobile terminal for management personnel is also available. During the deployment process, the building automation system (BAS) of the smart infrastructure is simultaneously integrated, incorporating the start-stop logic of equipment such as air conditioning fans and water pumps into the scheduling rules of the energy interaction center to achieve closed-loop control of energy-consuming equipment and energy supply strategies.

[0040] During weekdays, office and commercial electricity consumption peaks between 9:00 and 11:00 AM. At this time, the real-time photovoltaic power generation is 1.2MW. The load dispatching unit allocates 0.5MW of power to the air conditioning in the commercial area, 0.4MW to the office area, and 0.3MW to the charging piles. If the photovoltaic power generation drops to 0.6MW (such as during a cloudy afternoon), the park's 2MWh energy storage device is automatically activated, releasing 0.4MW of electricity to supplement the load demand, thereby reducing the external power purchase by 0.3MWh.

[0041] The data acquisition unit records daily photovoltaic power generation and purchased electricity, which are 4.8 MWh (with zero carbon emissions) and 2.2 MWh, respectively. Based on the North China Power Grid emission factor of 0.61 tCO2 / MWh, the carbon emissions are calculated to be 1.342 tCO2. The park's green space contributes 0.2 tCO2 to carbon sequestration daily. The accounting model unit calculates the net carbon emissions for the day as 1.142 tCO2 using these data, with the commercial area accounting for 62% and the office area accounting for 38%. Finally, a daily carbon footprint report is generated through a visualization platform, with an error margin of less than 3%. Based on the carbon footprint report, management personnel adjust the air conditioning temperature in the commercial area, thereby reducing energy consumption in the commercial area by approximately 15% and carbon emissions by approximately 0.18 tons.

[0042] Example 2 This embodiment is basically the same as Embodiment 1, and also includes a method for interactive operation of new energy sources and carbon footprint tracing, which includes the following steps: The new energy access unit of the energy interaction hub collects the power generation data of new energy power generation equipment in real time, and the load dispatching unit collects the real-time power demand data of various loads under different power consumption scenarios in the commercial park complex. The load scheduling unit, based on a preset multi-objective optimization algorithm, takes the highest utilization rate of new energy and the lowest carbon emissions as constraints, processes the new energy power generation, energy storage device status and diverse load demands, generates and executes energy allocation instructions to control the energy router to dynamically allocate power among different power consumption scenarios; when the new energy power generation is sufficient, it prioritizes power supply to high-energy-consuming load scenarios and stores or supplies surplus power to flexible loads; when the new energy power generation is insufficient, it prioritizes calling energy storage devices to release energy and then supplements the gap by purchasing external power. The data acquisition unit of the carbon footprint accounting engine acquires energy demand data, and the accounting model unit calculates carbon emissions according to the preset greenhouse gas accounting method and regional power grid emission factor, according to the electricity consumption scenario, and generates net carbon emission data for each scenario by combining the carbon offset amount of the pre-connected carbon sink project. S4. The visualization traceability platform updates and displays the energy interaction flowchart, carbon footprint dashboard and carbon emission trend curve in real time based on the generated net carbon emission data, and responds to the query instructions of the management personnel to export carbon footprint traceability reports for a specified time period and a specified electricity consumption scenario.

[0043] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the scope of the invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0044] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can be appropriately combined to form other embodiments that can be understood by those skilled in the art. The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. A new energy interactive operation and carbon footprint tracing system, characterized in that, include: The energy interaction hub includes a new energy access unit, an energy router, and a load dispatching unit; The energy router is connected to the new energy access unit, and the load dispatching unit is connected to both the new energy access unit and the energy router. The carbon footprint accounting engine includes a data acquisition unit, an accounting model unit, and a report generation unit; The data acquisition unit is connected to the energy interaction center, and the accounting model unit is connected to the data acquisition unit and the report generation unit respectively. The visual traceability platform is connected to the carbon footprint accounting engine and the energy interaction hub network, respectively. The communication and security unit is bidirectionally connected to all nodes of the energy interaction hub, carbon footprint accounting engine, and visual traceability platform to achieve encrypted protection of transmitted data and secure backup of stored data throughout the system.

2. The new energy interactive operation and carbon footprint tracing system according to claim 1, characterized in that, The new energy access unit is electrically connected to the new energy power generation equipment and the energy router, respectively, and is used to collect new energy power generation data and provide bidirectional power conversion; The energy router is also electrically connected to the mains power grid and various loads to enable bidirectional flow of electrical energy between different power consumption scenarios. The load scheduling unit is also connected to the load monitoring device located in each power consumption scenario to generate energy demand data based on a preset multi-objective optimization algorithm, with the highest utilization rate of new energy and the lowest carbon emissions as constraints.

3. The new energy interactive operation and carbon footprint tracing system according to claim 2, characterized in that, The load dispatching unit also includes a peak-valley arbitrage dispatching submodule, which is used to control the energy router to transmit surplus electricity to the energy storage device for storage when the grid's off-peak electricity price period and the renewable energy generation exceeds the real-time load demand. During peak electricity price periods, the energy router is controlled to prioritize supplying the electricity released by the energy storage device to high-load electricity consumption scenarios in order to reduce the cost of purchasing electricity from external sources.

4. The new energy interactive operation and carbon footprint tracing system according to claim 1, characterized in that, The data acquisition unit is used to acquire new energy power generation data, purchased electricity or heat consumption data, and load electricity consumption data under various electricity consumption scenarios at a preset acquisition cycle. The calculation model unit is used to calculate carbon emissions according to the preset greenhouse gas accounting method and regional power grid emission factor, based on the electricity consumption scenario and / or time dimension, and generate net carbon emission data by combining the carbon offset amount of pre-connected carbon sink projects. The report generation unit is used to generate a carbon footprint traceability report in a specified format based on the net carbon emission data.

5. The new energy interactive operation and carbon footprint tracing system according to claim 4, characterized in that, The accounting model unit is also used to calculate carbon offset, which is derived from pre-accessed carbon sink project data, including park greening carbon sink data and / or photovoltaic power generation carbon emission reduction data. When calculating net carbon emission data, the accounting model unit deducts the calculated carbon offset amount to generate net carbon emission data.

6. The new energy interactive operation and carbon footprint tracing system according to claim 1, characterized in that, The visualization traceability platform is used to generate and display energy interaction flowcharts, carbon footprint dashboards and carbon emission trend curves in real time based on the obtained net carbon emission data and energy demand data, and to export carbon footprint traceability reports for specified time periods and / or specified electricity consumption scenarios in response to query commands.

7. The new energy interactive operation and carbon footprint tracing system according to claim 6, characterized in that, The visualization traceability platform is also used to generate a carbon footprint heat map, which visually indicates the real-time carbon emission intensity distribution of each area within the commercial park complex through the degree of color intensity.

8. The new energy interactive operation and carbon footprint tracing system according to claim 1, characterized in that, The communication and security unit also includes: The quantum encryption transmission module is used to encrypt the transmitted energy demand data and net carbon emission data with quantum keys. The key update frequency is synchronized with the preset acquisition cycle of the data acquisition unit. The data backup module employs a dual backup mechanism, with local and cloud backups. The local server stores core data in real time for a preset period, while the cloud stores historical data synchronously based on a distributed storage architecture. Backed-up data requires permission verification and data integrity checks before it can be accessed.

9. The new energy interactive operation and carbon footprint tracing system according to claim 1, characterized in that, It also includes an infrastructure support layer, which includes edge computing nodes located in each building unit; The edge computing nodes are communicatively connected to the sensors and actuators of the field energy-consuming equipment, and are used to perform local preprocessing and fault diagnosis on the collected equipment operating status data. The edge computing node is also connected to the energy interaction hub and the carbon footprint accounting engine network to upload pre-processed valid data, thereby reducing the data transmission load on the cloud or main station.

10. A new energy interactive operation and carbon footprint tracing method applied to the system of any one of claims 1-9, characterized in that, Includes the following steps: S1. Real-time power generation data of new energy power generation equipment is collected through the new energy access unit of the energy interaction center, and real-time power demand data of multiple loads under different power consumption scenarios in the commercial park are statistically analyzed through the load dispatching unit. S2. The load scheduling unit, based on a preset multi-objective optimization algorithm, takes the highest utilization rate of new energy and the lowest carbon emissions as constraints, processes the new energy power generation, energy storage device status and diverse load demands, generates and executes energy allocation instructions to control the energy router to dynamically allocate power among different power consumption scenarios; wherein, when the new energy power generation is sufficient, it prioritizes power supply to high energy consumption load scenarios and stores or supplies surplus power to flexible loads; when the new energy power generation is insufficient, it prioritizes calling energy storage devices to release energy and then supplements the gap by purchasing external power. S3. The data acquisition unit of the carbon footprint accounting engine acquires energy demand data, and the accounting model unit calculates carbon emissions according to the preset greenhouse gas accounting method and regional power grid emission factor, according to the electricity consumption scenario, and generates net carbon emission data for each scenario by combining the carbon offset amount of the pre-connected carbon sink project. S4. The visualization traceability platform updates and displays the energy interaction flowchart, carbon footprint dashboard and carbon emission trend curve in real time based on the generated net carbon emission data, and responds to the query instructions of the management personnel to export carbon footprint traceability reports for a specified time period and a specified electricity consumption scenario.

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