Carbon emission reduction method of integrated energy system

Abstract

The embodiment of the invention provides a carbon emission reduction method of an integrated energy system. The method comprises the steps that the carbon capture effect of the current period and the first energy consumption of each energy form are obtained, and the carbon capture effect is used for indicating the amount of carbon dioxide captured by a carbon capture device; calculating an actual carbon emission factor of each energy form according to the carbon capture effect and the first energy consumption of each energy form; calculating the carbon emission of each energy form in the current period according to the actual carbon emission factor of each energy form and the corresponding first energy consumption; the carbon emission contribution degree of each energy form is calculated according to the carbon emission, the energy structure of the comprehensive energy system is adjusted according to the carbon emission contribution degree, the proportion of low-carbon energy is increased, the carbon emission reduction strategy is adjusted according to real-time data, the calculation process of the carbon footprint is more accurate, and the carbon emission reduction effect of the comprehensive energy system is improved.

Description

Technical Field

[0001] The present application relates to the technical field of integrated energy system operation, and in particular to a carbon emission reduction method for an integrated energy system. Background Art

[0002] In recent years, as the global climate change problem has become increasingly serious, countries have formulated and implemented carbon reduction policies to reduce greenhouse gas emissions and promote sustainable development.

[0003] As an important part of modern energy management, the integrated energy system improves energy efficiency and reduces energy consumption by integrating multiple energy forms (such as electricity, heat and cooling). In the existing integrated energy system, carbon emission monitoring and management often rely on manual recording and offline analysis methods.

[0004] However, manual recording and offline analysis methods lack real-time and accuracy, and it is difficult to dynamically reflect the operating status of the system. As a result, during the carbon emission reduction process, it is impossible to calculate the carbon emission factor and carbon footprint based on real-time monitoring data, and dynamically adjust the carbon emission reduction strategy, resulting in inaccurate carbon emission assessment results, which affects the actual effect of carbon emission reduction. Summary of the invention

[0005] The embodiment of the present application provides a carbon emission reduction method for an integrated energy system, which is used to adjust the carbon emission reduction strategy according to real-time data, thereby improving the carbon emission reduction effect of the integrated energy system.

[0006] In a first aspect, an embodiment of the present application provides a carbon emission reduction method for an integrated energy system, wherein the integrated energy system includes a carbon capture device and at least two energy forms, wherein the carbon capture device is used to capture carbon dioxide emitted by each energy form in the integrated energy system, and the method includes: obtaining the carbon capture effect of the current cycle and the first energy consumption of each of the energy forms, wherein the carbon capture effect is used to indicate the amount of carbon dioxide captured by the carbon capture device.

[0007] According to the carbon capture effect and the first energy consumption of each of the energy forms, an actual carbon emission factor of each of the energy forms is calculated, and the actual carbon emission factor is used to indicate the unit carbon emission of each of the energy forms in the current cycle.

[0008] The carbon emission of each energy form in the current cycle is calculated according to the actual carbon emission factor of each energy form and the corresponding first energy consumption.

[0009] The carbon emission contribution of each energy form is calculated based on the carbon emissions, and the energy structure of the comprehensive energy system is adjusted based on the carbon emission contribution, wherein the energy structure is used to indicate the proportion of the first energy consumption of each energy form in the total first energy consumption, and the higher the carbon emission contribution, the lower the proportion of the corresponding energy form in the comprehensive energy system.

[0010] In a possible implementation, the actual carbon emission factor of each of the energy forms is calculated based on the carbon capture effect and the first energy consumption of each of the energy forms, including: obtaining a standard carbon emission factor for each of the energy forms; obtaining a total first energy consumption based on the first energy consumption of each of the energy forms; and calculating the actual carbon emission factor of each of the energy forms based on the carbon capture effect, the total first energy consumption and the standard carbon emission factor of each of the energy forms.

[0011] In a possible implementation, before calculating the actual carbon emission factor of each of the energy forms, the method further includes: acquiring real-time operating data of each of the energy forms, wherein the real-time operating data includes at least temperature and pressure.

[0012] The calculating the actual carbon emission factor of each of the energy forms according to the carbon capture effect, the total first energy consumption and the standard carbon emission factor of each of the energy forms includes: adjusting the standard carbon emission factor of each of the energy forms according to the carbon capture effect, the total first energy consumption and the standard carbon emission factor of each of the energy forms.

[0013] The real-time carbon emission factor is calculated based on the adjusted standard carbon emission factor of each energy form and the real-time operation data.

[0014] In a possible implementation, calculating the carbon emission contribution of each of the energy forms according to the carbon emissions includes: obtaining total carbon emissions according to the carbon emissions of each of the energy forms.

[0015] The carbon emission contribution of each energy form is obtained according to the total carbon emission and the carbon emission of each energy form.

[0016] In a possible implementation, after obtaining the carbon capture effect of the current cycle and the first energy consumption of each of the energy forms, the method further includes: obtaining real-time carbon capture data, wherein the real-time carbon capture data at least includes the second energy consumption of the carbon capture device in the current cycle, the temperature inside the device, and the pressure inside the device.

[0017] The real-time carbon capture data is input into a trained carbon capture effect prediction model to obtain target carbon capture data, wherein the target carbon capture data at least includes a target temperature and / or a target pressure, and the target temperature and / or target pressure are used to indicate a temperature and / or pressure that can improve the carbon capture effect of the carbon capture device.

[0018] The temperature and / or pressure in the carbon capture device is adjusted according to the target temperature and / or the target pressure to improve the carbon capture effect.

[0019] In a possible implementation, the target carbon capture data also includes a target resource conversion path, and the target resource conversion path is used to indicate the proportion of carbon dioxide captured by the carbon capture device used for different conversion methods, and the conversion method is synthetic fuels, synthetic chemical products or synthetic mineral carbonates.

[0020] Correspondingly, the target temperature and / or target pressure include the optimal temperature and / or optimal pressure corresponding to different conversion methods, wherein the carbon capture device is adjusted according to the target resource conversion path and the target temperature and / or target pressure to maximize the carbon capture effect of the carbon capture device.

[0021] In a possible implementation, the carbon capture effect prediction model is constructed based on a conditional generative adversarial network model, the generator of the conditional generative adversarial network model is used to generate a predicted carbon capture effect based on conditional information, and the discriminator is used to discriminate the authenticity of the predicted carbon capture effect, wherein the generator and the discriminator have their own corresponding loss functions, and the conditional information includes at least temperature and pressure.

[0022] Before inputting the real-time carbon capture data into the trained carbon capture effect prediction model, the method further includes: acquiring historical carbon capture data, wherein the historical carbon capture data includes historical operation data and historical carbon capture effects.

[0023] The conditional generative adversarial network model is trained according to the historical carbon capture data to obtain a trained carbon capture effect prediction model, wherein in the trained carbon capture effect prediction model, the losses of the generator and the discriminator are balanced.

[0024] In a second aspect, an embodiment of the present application provides a carbon emission reduction device for an integrated energy system, comprising:

[0025] The acquisition module is used to acquire the carbon capture effect of the current cycle and the first energy consumption of each energy form, wherein the carbon capture effect is used to indicate the amount of carbon dioxide captured by the carbon capture device.

[0026] The first calculation module is used to calculate the actual carbon emission factor of each energy form according to the carbon capture effect and the first energy consumption of each energy form, and the actual carbon emission factor is used to indicate the unit carbon emission of each energy form in the current cycle.

[0027] The second calculation module is used to calculate the carbon emission of each energy form in the current cycle according to the actual carbon emission factor of each energy form and the corresponding first energy consumption.

[0028] An adjustment module is used to calculate the carbon emission contribution of each energy form based on the carbon emissions, and adjust the energy structure of the comprehensive energy system based on the carbon emission contribution, wherein the energy structure is used to indicate the proportion of the first energy consumption of each energy form in the total first energy consumption, and the higher the carbon emission contribution, the lower the proportion of the corresponding energy form in the comprehensive energy system.

[0029] In a possible implementation, the first calculation module is specifically used to: obtain a standard carbon emission factor for each of the energy forms; obtain a total first energy consumption based on the first energy consumption of each of the energy forms; and calculate an actual carbon emission factor for each of the energy forms based on the carbon capture effect, the total first energy consumption and the standard carbon emission factor for each of the energy forms.

[0030] In a possible implementation manner, the acquisition module is further used to: acquire real-time operating data of each of the energy forms, and the real-time operating data at least includes temperature and pressure.

[0031] In a possible implementation, the first calculation module is specifically used to: adjust the standard carbon emission factor of each energy form according to the carbon capture effect, the total first energy consumption and the standard carbon emission factor of each energy form; calculate the real-time carbon emission factor according to the adjusted standard carbon emission factor of each energy form and the real-time operation data.

[0032] In a possible implementation, the adjustment module is used to: obtain total carbon emissions based on the carbon emissions of each of the energy forms; and obtain carbon emission contribution of each of the energy forms based on the total carbon emissions and the carbon emissions of each of the energy forms.

[0033] In a possible implementation, the acquisition module is further used to: acquire real-time carbon capture data, wherein the real-time carbon capture data at least includes the second energy consumption, the temperature inside the device, and the pressure inside the device of the carbon capture device in the current cycle.

[0034] The real-time carbon capture data is input into a trained carbon capture effect prediction model to obtain target carbon capture data, wherein the target carbon capture data at least includes a target temperature and / or a target pressure, and the target temperature and / or target pressure are used to indicate a temperature and / or pressure that can improve the carbon capture effect of the carbon capture device.

[0035] In a possible implementation manner, the adjustment module is further configured to: adjust the temperature and / or pressure in the carbon capture device according to the target temperature and / or the target pressure to improve the carbon capture effect.

[0036] In a possible implementation, the target carbon capture data also includes a target resource conversion path, and the target resource conversion path is used to indicate the proportion of carbon dioxide captured by the carbon capture device used for different conversion methods, and the conversion method is synthetic fuels, synthetic chemical products or synthetic mineral carbonates.

[0037] Correspondingly, the target temperature and / or target pressure include the optimal temperature and / or optimal pressure corresponding to different conversion methods, wherein the carbon capture device is adjusted according to the target resource conversion path and the target temperature and / or target pressure to maximize the carbon capture effect of the carbon capture device.

[0038] In a possible implementation, the carbon capture effect prediction model is constructed based on a conditional generative adversarial network model, the generator of the conditional generative adversarial network model is used to generate a predicted carbon capture effect based on conditional information, and the discriminator is used to discriminate the authenticity of the predicted carbon capture effect, wherein the generator and the discriminator have their own corresponding loss functions, and the conditional information includes at least temperature and pressure.

[0039] In a possible implementation, the acquisition module is also used to: acquire historical carbon capture data, the historical carbon capture data including historical operation data and historical carbon capture effects; train the conditional generative adversarial network model according to the historical carbon capture data to obtain a trained carbon capture effect prediction model, wherein, in the trained carbon capture effect prediction model, the losses of the generator and the discriminator are balanced.

[0040] In a third aspect, an embodiment of the present application provides a carbon emission reduction device for an integrated energy system, including: a memory, a processor;

[0041] The memory stores computer-executable instructions;

[0042] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementations of the first aspect.

[0043] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the first aspect above and / or various possible implementations of the first aspect.

[0044] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above first aspect and / or various possible implementation methods of the first aspect.

[0045] The carbon emission reduction method of the integrated energy system provided in the embodiment of the present application obtains the carbon capture effect of the current cycle and the first energy consumption of each energy form, wherein the carbon capture effect is used to indicate the amount of carbon dioxide captured by the carbon capture device; according to the carbon capture effect and the first energy consumption of each energy form, the actual carbon emission factor of each energy form is calculated, and the actual carbon emission factor is used to indicate the unit carbon emission of each energy form in the current cycle; the carbon emissions of each energy form in the current cycle are calculated according to the actual carbon emission factor of each energy form and the corresponding first energy consumption; the carbon emission contribution of each energy form is calculated according to the carbon emissions, and the energy structure of the integrated energy system is adjusted according to the carbon emission contribution, wherein the energy structure is used to indicate the proportion of the first energy consumption of each energy form to the total first energy consumption, and the higher the carbon emission contribution, the lower the proportion of the corresponding energy form in the integrated energy system is adjusted, thereby realizing the adjustment of the carbon emission reduction strategy according to real-time data, making the carbon footprint calculation process more accurate, and improving the carbon emission reduction effect of the integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0047] Figure 1 Schematic diagram of the process of carbon emission reduction method of the integrated energy system provided in this application Figure 1 ;

[0048] Figure 2 Schematic diagram of the process of carbon emission reduction method of the integrated energy system provided in this application Figure 2 ;

[0049] Figure 3 Schematic diagram of the process of carbon emission reduction method of the integrated energy system provided in this application Figure 3 ;

[0050] Figure 4 A schematic diagram of the structure of the carbon emission reduction device for the integrated energy system provided in this application;

[0051] Figure 5A schematic diagram of the structure of the carbon emission reduction device for the integrated energy system provided in this application.

[0052] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0053] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0054] "Multiple" means two or more, and other quantifiers are similar. "And / or" describes the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0055] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, products or devices.

[0056] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0057] First, the terms involved in this application are explained:

[0058] Integrated energy system: refers to a system that achieves efficient utilization and management of energy by integrating multiple energy forms (such as electricity, heat, cold energy, etc.).

[0059] Carbon capture: refers to the technology of capturing carbon dioxide from industrial emissions or the atmosphere and storing or utilizing it.

[0060] Carbon emission factor: refers to the amount of carbon dioxide emitted per unit of energy consumption or production process. It is usually expressed in mass units (such as kilograms or tons) and is used to evaluate and calculate the carbon emissions generated by energy use or production processes.

[0061] As described in the background technology, in the prior art, there are some obvious deficiencies in the carbon emission monitoring and management methods of integrated energy systems. Carbon emission monitoring and management through manual recording and offline analysis lacks real-time and accuracy, resulting in the inability to dynamically reflect the operating status of the system; and the carbon emission factor and carbon footprint calculation methods fail to fully consider the complex changes under different energy forms and operating conditions, and cannot obtain the actual carbon emissions, which affects the formulation of carbon emission reduction strategies.

[0062] In order to solve the above problems, an embodiment of the present application provides a carbon emission reduction method for an integrated energy system, which obtains real-time carbon capture effect and energy consumption of each energy form, calculates the actual carbon emission factor of each energy form, and calculates the actual carbon emissions of each energy form in the current cycle based on the actual carbon emission factor of each energy form and the corresponding first energy consumption, and obtains the carbon emission contribution of each energy form, and then adjusts the energy structure according to the carbon emission contribution to reduce the proportion of high-carbon energy, thereby realizing the adjustment of carbon emission reduction strategies according to real-time data and improving the carbon emission reduction effect.

[0063] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0064] Before introducing the specific method of the present application, the specific application scenario of the method provided in the embodiment of the present application is first introduced. The method provided in the embodiment of the present application is applied to an integrated energy system, and the integrated energy system includes a carbon capture device and at least two energy forms, and the carbon capture device is used to capture carbon dioxide emitted by each energy form in the integrated energy system.

[0065] In some embodiments, the carbon capture device may be a chemical absorption tower, which is arranged in an integrated energy system, and this embodiment does not impose any specific limitation here.

[0066] Figure 1Schematic diagram of the process of carbon emission reduction method of the integrated energy system provided in this application Figure 1 ,like Figure 1 As shown, the method includes:

[0067] S101. Obtaining a carbon capture effect of a current cycle and a first energy consumption of each energy form, wherein the carbon capture effect is used to indicate an amount of carbon dioxide captured by a carbon capture device.

[0068] In this embodiment, the carbon capture effect is used to indicate the amount of carbon dioxide captured by the carbon capture device. In the specific implementation process, the carbon capture effect of the current cycle and the first energy consumption of each energy form are obtained. The current cycle can be set according to the operating indicators of the integrated energy system. If the real-time requirement is high, a smaller cycle can be set to meet the real-time requirements of the integrated energy system for calculating the carbon footprint.

[0069] In some embodiments, the carbon capture effect and the first energy consumption can be obtained by arranging a sensor network in the integrated energy system. Exemplarily, the carbon capture effect can be obtained by setting a capture effect sensor in the carbon capture device to obtain in real time the amount of carbon dioxide absorbed by the carbon capture device in the current cycle. The capture effect sensor can be a flow sensor and a concentration sensor, which obtains the carbon capture effect of the carbon capture device in the current cycle by recording the flow difference between the air inlet and the air outlet of the capture device and the concentration of carbon dioxide in the air.

[0070] In some embodiments, the first energy consumption of each energy form can also be obtained through a sensor. For example, in the electric energy form, the first energy consumption of the electric energy form can be obtained through an electric sensor. Or, in the thermal energy form, if the consumed energy is coal, the first energy consumption can be obtained based on the quality of the coal, or, if the consumed energy is natural gas, the corresponding first energy consumption can be obtained based on a flow sensor.

[0071] S102. Calculate the actual carbon emission factor of each energy form according to the carbon capture effect and the first energy consumption of each energy form, where the actual carbon emission factor is used to indicate the unit carbon emission of each energy form in the current cycle.

[0072] In this embodiment, the actual carbon emission factor is the unit carbon emission of each energy form in the current cycle. The actual carbon emission of the energy form in the current cycle can be obtained by combining the actual carbon emission factor and the first energy consumption.

[0073] S103: Calculate the carbon emission of each energy form in the current cycle according to the actual carbon emission factor of each energy form and the corresponding first energy consumption.

[0074] Specifically, after calculating the actual carbon emission factor of each energy form according to the carbon capture effect and the first energy consumption of each energy form, the carbon emission of each energy form in the current cycle is calculated according to the actual carbon emission factor of each energy form and the corresponding first energy consumption. It can be understood that the carbon emission is the actual carbon emission of each energy form in the current cycle.

[0075] In some embodiments, the actual carbon emission factor of each energy form may be multiplied by the corresponding first energy consumption to obtain the carbon emission of each energy form in the current cycle.

[0076] S104. Calculate the carbon emission contribution of each energy form based on the carbon emission, and adjust the energy structure of the comprehensive energy system based on the carbon emission contribution, wherein the energy structure is used to indicate the proportion of the first energy consumption of each energy form in the total first energy consumption. The higher the carbon emission contribution, the lower the proportion of the corresponding energy form in the comprehensive energy system.

[0077] In this embodiment, the carbon emission contribution indicates the proportion of the carbon dioxide emitted by each energy form in the current cycle to the total carbon emissions emitted by the total integrated energy system in the current cycle. Specifically, the carbon emissions of each energy form are first added to obtain the total carbon emissions, and then the carbon emission contribution of each energy form is obtained based on the total carbon emissions and the carbon emissions of each energy form.

[0078] In some embodiments, the carbon emissions of each energy form include direct carbon emissions and indirect carbon emissions, which can be calculated according to the following formula:

[0079] (1) Calculation of direct carbon emissions: Calculate the direct carbon emissions of each energy form using the following formula:

[0080]

[0081] in, is the direct carbon emissions, EF i is the carbon emission factor of energy source i, EC i is the consumption of energy form i, where i represents different energy forms;

[0082] (2) Calculation of indirect carbon emissions: Calculate the indirect carbon emissions of each energy form using the following formula:

[0083]

[0084] Among them, EF j is the carbon emission factor of indirect energy source j, EC j is the consumption of indirect energy form j, F jis the indirect carbon emission factor adjustment coefficient, which is used to reflect the actual carbon emission contribution of indirect energy, and j represents different indirect energy forms;

[0085] (3) Calculation of total carbon emissions: Combine direct and indirect carbon emissions to calculate the total carbon footprint of the integrated energy system within a specific period of time. The calculation formula is:

[0086]

[0087] in, is the emissions of the combined energy system.

[0088] Furthermore, the energy structure of the comprehensive energy system is adjusted according to the contribution of carbon emissions. Specifically, the proportion of the corresponding energy form in the comprehensive energy system is reduced according to the preset energy adjustment strategy.

[0089] In some embodiments, the energy structure of the integrated energy system can be adjusted by reducing the proportion of high-carbon emission energy, such as reducing the use of coal, according to the carbon emission contribution of each energy form. And increasing the proportion of low-carbon emission energy, such as increasing the use of natural gas or other renewable energy (such as solar energy, wind energy) for energy forms with high carbon emission contribution.

[0090] The carbon emission reduction method of the integrated energy system provided in the embodiment of the present application obtains the carbon capture effect of the current cycle and the first energy consumption of each energy form, wherein the carbon capture effect is used to indicate the amount of carbon dioxide captured by the carbon capture device; according to the carbon capture effect and the first energy consumption of each energy form, the actual carbon emission factor of each energy form is calculated, and the actual carbon emission factor is used to indicate the unit carbon emission of each energy form in the current cycle; the carbon emissions of each energy form in the current cycle are calculated according to the actual carbon emission factor of each energy form and the corresponding first energy consumption; the carbon emission contribution of each energy form is calculated according to the carbon emissions, and the energy structure of the integrated energy system is adjusted according to the carbon emission contribution, wherein the energy structure is used to indicate the proportion of the first energy consumption of each energy form to the total first energy consumption, and the higher the carbon emission contribution, the lower the proportion of the corresponding energy form in the integrated energy system is adjusted, thereby realizing the adjustment of the carbon emission reduction strategy according to real-time data, making the carbon footprint calculation process more accurate, and improving the carbon emission reduction effect of the integrated energy system.

[0091] Figure 2 Schematic diagram of the process of carbon emission reduction method of the integrated energy system provided in this application Figure 2 ,like Figure 2 As shown, in this embodiment Figure 1 Based on the embodiment, the process of obtaining the actual carbon emission factor is described in detail, and the method includes:

[0092] S201. Obtain the carbon capture effect of the current cycle and the first energy consumption of each energy form, wherein the carbon capture effect is used to indicate the amount of carbon dioxide captured by the carbon capture device.

[0093] S202. Obtain the standard carbon emission factor for each energy form.

[0094] In some embodiments, the standard carbon emission factor can be obtained from a professional carbon emission factor library. Specifically, according to different energy forms, the corresponding carbon emission factor is searched from the carbon emission factor library, wherein the carbon emission factor library contains standard carbon emission factor values ​​of different energy forms under different conditions.

[0095] S203: Obtain a total first energy consumption according to the first energy consumption of each energy form.

[0096] Furthermore, the first energy consumption of each energy form is added together to obtain the total first energy consumption.

[0097] S204. Acquire real-time operating data of each energy form, where the real-time operating data at least includes temperature and pressure.

[0098] In this embodiment, the real-time operating data includes operating data of each energy form in the current cycle, including temperature and pressure.

[0099] In some embodiments, the temperature and pressure may be acquired by a temperature sensor and a pressure sensor, respectively.

[0100] S205. Adjust the standard carbon emission factor of each energy form according to the carbon capture effect, the total primary energy consumption and the standard carbon emission factor of each energy form.

[0101] In this embodiment, since the installed carbon capture device will continuously capture emitted carbon dioxide in the integrated energy system, even if the standard carbon emission factor corresponding to the corresponding temperature and pressure is obtained, the calculated carbon emissions still do not conform to the actual carbon emissions of the integrated energy system.

[0102] Therefore, in this embodiment, it is necessary to adjust the standard carbon emission factor of each energy form according to the carbon capture effect, the total first energy consumption and the standard carbon emission factor of each energy form, so that the carbon emissions calculated by the adjusted standard carbon emission factor are close to the actual carbon emissions of the current period.

[0103] For example, the calculation method of adjusting the standard carbon emission factor can refer to the following formula:

[0104]

[0105] Among them, EF adjustedis the adjusted carbon emission factor, EF standard is the standard carbon emission factor found in the carbon emission factor library, E capture is the carbon capture efficiency, E total is the total energy consumption.

[0106] S206. Calculate the real-time carbon emission factor based on the adjusted standard carbon emission factor for each energy form and the real-time operation data.

[0107] Furthermore, since changes in temperature and pressure will also cause changes in the carbon emission factor, it is also necessary to calculate the real-time carbon emission factor based on the adjusted standard carbon emission factor for each energy form and the real-time operation data.

[0108] Specifically, the real-time carbon emission factor can be calculated according to the following formula:

[0109] EF final =EF adjusted ×(1+k1·ΔT+k2·ΔP)

[0110] Among them, EF final is the adjusted carbon emission factor, k1 and k2 are the temperature and pressure adjustment coefficients, ΔT is the temperature change in the current cycle, and ΔP is the pressure change in the current cycle.

[0111] The carbon emission reduction method for the integrated energy system provided in this embodiment adjusts the standard carbon emission factor according to the carbon capture effect of the current cycle and the first energy consumption of each energy form, so that the calculated carbon emissions are close to the actual carbon emissions of the current cycle, and further adjusts the carbon emission factor according to the temperature change and pressure change of the current cycle to obtain the actual carbon emission factor, thereby providing accurate data support for the carbon footprint calculation of the integrated energy system and providing a reliable basis for the formulation of subsequent carbon emission reduction strategies.

[0112] Understandably, Figure 1 and Figure 2 The method provided in the embodiment mainly reduces carbon emissions by adjusting the energy structure of the integrated energy system. However, in this integrated energy system, a carbon capture device is also provided. Therefore, carbon emissions can also be reduced by improving the carbon capture effect of the carbon capture device. The process is described below:

[0113] Figure 3 Schematic diagram of the process of carbon emission reduction method of the integrated energy system provided in this application Figure 3 ,like Figure 3 As shown, the method provided in this embodiment reduces carbon emissions by improving the carbon capture effect of the carbon capture device, and the method includes:

[0114] S301. Obtain the carbon capture effect of the current cycle and the first energy consumption of each energy form.

[0115] S302. Acquire real-time carbon capture data, wherein the real-time carbon capture data at least includes a second energy consumption, a temperature inside the device, and a pressure inside the device of the carbon capture device in a current cycle.

[0116] In this embodiment, the second energy consumption of the carbon capture device in the current cycle is the energy consumed by the carbon capture device during the capture process, including electricity and heat. Exemplarily, the energy consumption during the carbon capture process can be monitored and recorded by an energy consumption sensor.

[0117] In some embodiments, the energy consumption sensor may be an electric energy meter and a heat meter, which are used to monitor the electricity and heat energy consumed by the carbon capture device in the current cycle, respectively.

[0118] S303. Input the real-time carbon capture data into the trained carbon capture effect prediction model to obtain target carbon capture data, wherein the target carbon capture data at least includes a target temperature and / or a target pressure, and the target temperature and / or the target pressure are used to indicate the temperature and / or pressure that can improve the carbon capture effect of the carbon capture device.

[0119] In some embodiments, the output result of the carbon capture effect prediction model is the carbon capture effect predicted by the carbon capture effect prediction model under the condition of the temperature and / or pressure corresponding to the real-time carbon capture data.

[0120] In some embodiments, in order to obtain target carbon capture data, that is, to obtain the temperature and / or pressure that can improve the carbon capture effect of the current carbon capture device, it is necessary to process the temperature and pressure within the device of the real-time carbon capture data at least once, generate one or more new temperature and pressure combinations, and input them into the carbon capture effect prediction model to obtain the target carbon capture effect. If the analysis shows that the target carbon capture effect is the largest and greater than the current real-time carbon capture effect, the combination of temperature and pressure corresponding to the target carbon capture effect is used as the target temperature and / or target pressure to obtain the target carbon capture data.

[0121] Exemplarily, the in-device temperature and in-device pressure of real-time carbon capture data are processed at least once, which may be by summing the in-device temperature and / or in-device pressure with a preset difference group, wherein the preset difference group contains a preset number of preset differences, for example, the in-device temperature is 60, the preset difference group may be [-5, -4, -3, -2, -1, 1, 2, 3, 4, 5], and the in-device temperature is summed with any preset difference in the preset difference group to obtain a processed temperature group [55, 56, 57, 58, 59, 61, 62, 63, 64, 65]. Correspondingly, a processed pressure group is obtained by the same method, and any temperature or pressure in the temperature group and pressure group is recombined to obtain 10*10 groups of new temperature and pressure combinations.

[0122] Furthermore, the 10*10 sets of new temperature and pressure combinations are input into the carbon capture effect prediction model to obtain 10*10 predicted carbon capture effects, and the 10*10 predicted carbon capture effects are analyzed to obtain the temperature and pressure combination with the maximum carbon capture effect as the target carbon capture data.

[0123] S304: Adjust the temperature and / or pressure in the carbon capture device according to the target temperature and / or target pressure to improve the carbon capture effect.

[0124] Finally, the temperature and / or pressure in the carbon capture device is adjusted according to the target temperature and / or target pressure to improve the carbon capture effect of the carbon capture device and reduce carbon emissions.

[0125] The carbon emission reduction method for the integrated energy system provided in this embodiment obtains target carbon capture data based on real-time carbon capture data, wherein the target carbon capture data at least includes a target temperature and / or a target pressure, and the target temperature and / or target pressure are used to indicate a temperature and / or pressure that can improve the carbon capture effect of the carbon capture device. The carbon capture device is adjusted according to the temperature and pressure corresponding to the target carbon capture data, which not only improves the carbon capture effect and reduces carbon emissions, but also improves the energy utilization efficiency.

[0126] Here is how to build and train a carbon capture effect prediction model:

[0127] In some embodiments, the carbon capture effect prediction model is constructed based on a conditional generative adversarial network model, the generator of the conditional generative adversarial network model is used to generate a predicted carbon capture effect based on conditional information, and the discriminator is used to discriminate the authenticity of the predicted carbon capture effect, wherein the generator and the discriminator have their own corresponding loss functions, and the conditional information includes at least temperature and pressure.

[0128] It should be noted that the Conditional Generative Adversarial Network (CGAN) is a deep learning model based on the Generative Adversarial Network (GAN). CGAN introduces conditional information, such as temperature and / or pressure in the embodiment of the present application, so that the generator can generate a carbon capture effect that meets the conditional information.

[0129] In some embodiments, the condition generator network is used to generate a predicted carbon capture effect in combination with the condition information, and the generator can be calculated according to the following formula:

[0130] G(z,c)=σ(W gz z+W gc c+b g )

[0131] Among them, W gz is the weight of the noise input, W gc is the weight of the conditional input, b g is the bias vector, z is the noise vector input to the generator, σ is the activation function, z is the randomly generated noise, and c is the conditional information vector.

[0132] In some embodiments, the conditional discriminator network is used to determine the authenticity of the carbon capture effect generated by the generator in combination with the conditional information, which can be calculated according to the following formula:

[0133] D(x,c)=σ(W dx x+W dc c+b d )

[0134] Among them, W dx is the weight of the data input, W dc is the weight of the conditional input, b d is the bias vector and x is the real data.

[0135] In some embodiments, the loss function of CGAN is:

[0136]

[0137] In order to ensure that the input data can be restored to the original data as much as possible after the dual transformation of the discriminator and the generator, maintain data consistency, and prevent the generator from generating unreasonable data, it is also necessary to introduce cycle consistency loss. Refer to the following formula for details:

[0138]

[0139] Therefore, the final loss function is:

[0140] Among them, λ is a trade-off coefficient that controls the proportion of GAN loss and cycle consistency loss;

[0141] Through the above steps, the generative adversarial network (GAN) can adapt to the needs of carbon capture effect prediction, combine conditional information and periodic consistency loss, improve prediction accuracy and data consistency, and provide reliable technical support for optimizing the carbon capture process.

[0142] In this embodiment, after the carbon capture effect prediction model is constructed, it needs to be trained. The training process of the carbon capture effect prediction model is described below:

[0143] Specifically, historical carbon capture data is first obtained, wherein the historical carbon capture data includes historical operation data and historical carbon capture effects; then the conditional generative adversarial network model is trained according to the historical carbon capture data to obtain a trained carbon capture effect prediction model, wherein in the trained carbon capture effect prediction model, the losses of the generator and the discriminator are balanced.

[0144] In some embodiments, the historical carbon capture data is divided into a training set and a validation set to facilitate evaluation of model performance during the training process.

[0145] In some embodiments, the generator loss function may refer to the following formula:

[0146]

[0147] in, is the cycle consistency loss.

[0148] In some embodiments, the discriminator loss function may refer to the following formula:

[0149]

[0150] The parameters of the generator are updated according to the following formula:

[0151]

[0152] Where η is the learning rate, θ G are the parameters of the generator;

[0153] The parameters of the discriminator are updated according to the following formula.

[0154]

[0155] Among them, θ D are the parameters of the discriminator.

[0156] In some embodiments, after the training set is input into the carbon capture effect prediction model, the model parameters need to be adjusted through the back propagation algorithm and the gradient descent method until the losses of the generator and the discriminator are balanced and the training is completed.

[0157] In some embodiments, the target carbon capture data also includes a target resource conversion path, which is used to indicate the proportion of carbon dioxide captured by the carbon capture device used for different conversion methods, where the conversion method is synthetic fuels, synthetic chemical products or synthetic mineral carbonates.

[0158] Specifically, based on the output of the carbon capture effect prediction model, the carbon capture effect and output of carbon dioxide under different resource conversion pathways are predicted, including synthetic fuel output, chemical product output and mineral carbonate output.

[0159] In some embodiments, the yield corresponding to each conversion path can be calculated according to the following formula:

[0160] Synthetic fuel production: P fuel =α1·E capture +α2·T+α3·P;

[0161] Among them, P fuel is the predicted production of synthetic fuels, E capture is the carbon capture effect, T is the temperature, P is the pressure, and α1, α2, and α3 are model parameters, indicating the weight of each factor on the output.

[0162] Chemical product output: P chemical =β1·E capture +β2·T+β3·P;

[0163] Among them, P chemical is the predicted output of chemical products, E capture is the carbon capture effect, T is the temperature, P is the pressure, β1, β2, β3 are model parameters, indicating the weight of each factor on the output.

[0164] Mineral carbonate production: P mineral =γ1·E capture +γ2·T+γ3·P;

[0165] Among them, P mineral is the predicted yield of mineral carbonate, E capture is the carbon capture effect, T is the temperature, P is the pressure, γ1, γ2, γ3 are model parameters, indicating the weight of each factor on the output.

[0166] Correspondingly, the target temperature and / or target pressure include the optimal temperature and / or optimal pressure corresponding to different conversion methods, wherein the carbon capture device is adjusted according to the target resource conversion path and the target temperature and / or target pressure to maximize the carbon capture effect of the carbon capture device.

[0167] In some embodiments, the above-mentioned target temperature and / or target pressure may only include the optimal temperature and / or optimal pressure corresponding to one conversion method. By adjusting the operating parameters of the carbon capture device for the corresponding conversion method through the optimal temperature and / or optimal pressure, the carbon capture effect of the carbon capture device under the conversion method can be maximized.

[0168] It is understandable that if the target carbon capture data also includes the target resource conversion path, the conversion method needs to be input into the model as conditional information when constructing and training the carbon capture effect prediction model.

[0169] Correspondingly, the above-mentioned target temperature and / or target pressure may also include the optimal temperature and / or optimal pressure corresponding to the combination of at least two conversion methods, and the combination of at least two conversion methods must also be input into the model as conditional information when constructing and training the carbon capture effect prediction model.

[0170] The carbon emission reduction method for the integrated energy system provided in the embodiment of the present application can optimize resource utilization, improve conversion efficiency, maximize carbon capture effects, and greatly reduce carbon emissions by rationally allocating captured carbon dioxide for different conversion methods and adjusting the operating parameters of the carbon capture device.

[0171] In some embodiments, the method of reducing carbon emissions also includes improving energy efficiency. Specifically, energy efficiency improvement measures such as equipment upgrades, process optimization, and energy efficiency management can be implemented based on the calculation results of the energy efficiency ratio. Exemplarily, the energy efficiency ratio can be calculated according to the following formula:

[0172]

[0173] Among them, Total Energy Output is the total energy output of the integrated energy system, and Total Energy Input is the total energy input of the integrated energy system.

[0174] In some embodiments, in order to better adjust the energy structure to improve the effect of carbon emission reduction, when formulating carbon emission reduction strategies, the carbon emission reduction strategy can be formulated by calculating the actual carbon emission reduction amount that can be reduced by replacing part of the traditional energy with high carbon emission with low carbon or zero carbon energy (such as renewable energy, hydrogen energy, etc.). Specifically, the calculation can be made according to the following formula:

[0175]

[0176] in, is the amount of carbon emissions reduced by introducing low-carbon energy, E j is the consumption of low-carbon energy form j, EF traditional is the carbon emission factor of traditional high-carbon emission energy, EF low-carbon It is the carbon emission factor of low-carbon energy.

[0177] Figure 4 A schematic diagram of the structure of the carbon emission reduction device of the integrated energy system provided in this application, such as Figure 4 As shown, the carbon emission reduction device 40 of the integrated energy system provided in this embodiment includes:

[0178] The acquisition module 401 is used to acquire the carbon capture effect of the current cycle and the first energy consumption of each energy form, wherein the carbon capture effect is used to indicate the amount of carbon dioxide captured by the carbon capture device.

[0179] The first calculation module 402 is used to calculate the actual carbon emission factor of each energy form according to the carbon capture effect and the first energy consumption of each energy form, and the actual carbon emission factor is used to indicate the unit carbon emission of each energy form in the current cycle.

[0180] The second calculation module 403 is used to calculate the carbon emission of each energy form in the current cycle according to the actual carbon emission factor of each energy form and the corresponding first energy consumption.

[0181] Adjustment module 404 is used to calculate the carbon emission contribution of each energy form based on the carbon emissions, and adjust the energy structure of the comprehensive energy system based on the carbon emission contribution, wherein the energy structure is used to indicate the proportion of the first energy consumption of each energy form to the total first energy consumption. The higher the carbon emission contribution, the lower the proportion of the corresponding energy form in the comprehensive energy system.

[0182] In a possible implementation, the first calculation module 402 is specifically used to: obtain a standard carbon emission factor for each energy form; obtain a total first energy consumption based on the first energy consumption of each energy form; and calculate an actual carbon emission factor for each energy form based on the carbon capture effect, the total first energy consumption and the standard carbon emission factor for each energy form.

[0183] In a possible implementation, the acquisition module 401 is further used to: acquire real-time operating data of each energy form, where the real-time operating data at least includes temperature and pressure.

[0184] In a possible implementation, the first calculation module 402 is specifically used to: adjust the standard carbon emission factor of each energy form according to the carbon capture effect, the total first energy consumption and the standard carbon emission factor of each energy form; calculate the real-time carbon emission factor according to the adjusted standard carbon emission factor of each energy form and the real-time operation data.

[0185] In a possible implementation, the adjustment module 404 is used to: obtain total carbon emissions according to the carbon emissions of each energy form; and obtain carbon emission contribution of each energy form according to the total carbon emissions and the carbon emissions of each energy form.

[0186] In a possible implementation, the acquisition module 401 is further used to: acquire real-time carbon capture data, wherein the real-time carbon capture data at least includes the second energy consumption, the temperature inside the device, and the pressure inside the device of the carbon capture device in the current cycle.

[0187] The real-time carbon capture data is input into the trained carbon capture effect prediction model to obtain target carbon capture data, wherein the target carbon capture data at least includes a target temperature and / or a target pressure, and the target temperature and / or the target pressure are used to indicate the temperature and / or pressure that can improve the carbon capture effect of the carbon capture device.

[0188] In a possible implementation, the adjustment module 404 is further configured to adjust the temperature and / or pressure in the carbon capture device according to the target temperature and / or target pressure to improve the carbon capture effect.

[0189] In one possible implementation, the target carbon capture data also includes a target resource conversion path, which is used to indicate the proportion of carbon dioxide captured by the carbon capture device that is used for different conversion methods, where the conversion method is synthetic fuels, synthetic chemical products or synthetic mineral carbonates.

[0190] Correspondingly, the target temperature and / or target pressure include the optimal temperature and / or optimal pressure corresponding to different conversion methods, wherein the carbon capture device is adjusted according to the target resource conversion path and the target temperature and / or target pressure to maximize the carbon capture effect of the carbon capture device.

[0191] In one possible implementation, a carbon capture effect prediction model is constructed based on a conditional generative adversarial network model, wherein the generator of the conditional generative adversarial network model is used to generate a predicted carbon capture effect based on conditional information, and the discriminator is used to discriminate the authenticity of the predicted carbon capture effect, wherein the generator and the discriminator have their own corresponding loss functions, and the conditional information includes at least temperature and pressure.

[0192] In a possible implementation, the acquisition module 401 is also used to: acquire historical carbon capture data, the historical carbon capture data including historical operation data and historical carbon capture effects; train a conditional generative adversarial network model based on the historical carbon capture data to obtain a trained carbon capture effect prediction model, wherein in the trained carbon capture effect prediction model, the losses of the generator and the discriminator are balanced.

[0193] The carbon emission reduction device for the integrated energy system provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effects are similar, and will not be described in detail in this embodiment.

[0194] Figure 5 A schematic diagram of the structure of the carbon emission reduction device of the integrated energy system provided in this application. Figure 5 As shown, the electronic device 50 provided in this embodiment includes: at least one processor 501 and a memory 502. Optionally, the device 50 also includes a communication component 503. The processor 501, the memory 502 and the communication component 503 are connected via a bus 504.

[0195] In a specific implementation process, at least one processor 501 executes the computer-executable instructions stored in the memory 502, so that at least one processor 501 executes the above method.

[0196] The specific implementation process of the processor 501 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0197] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0198] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (Non-volatile Memory, NVM), such as at least one disk memory.

[0199] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0200] The present application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0201] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the above method is implemented.

[0202] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0203] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0204] The division of units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0205] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0206] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0207] If the function is implemented in the form of 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, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0208] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0209] Finally, it should be noted that those skilled in the art will readily conceive of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention, which follow the general principles of the present invention and include common knowledge or customary technical means in the art not disclosed by the present invention, are not limited to the precise structure described above and shown in the drawings, and may be modified and changed in various ways without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for reducing carbon emissions in an integrated energy system, characterized in that: The integrated energy system comprises a carbon capture device and at least two energy forms, wherein the carbon capture device is used to capture carbon dioxide emitted by each energy form in the integrated energy system, and the method comprises: Acquire the carbon capture effect of the current cycle and the first energy consumption of each energy form, wherein the carbon capture effect is used to indicate the amount of carbon dioxide captured by the carbon capture device; Calculate the actual carbon emission factor of each energy form according to the carbon capture effect and the first energy consumption of each energy form, wherein the actual carbon emission factor is used to indicate the unit carbon emission of each energy form in the current period; Calculate the carbon emission of each energy form in the current period according to the actual carbon emission factor of each energy form and the corresponding first energy consumption; The carbon emission contribution of each energy form is calculated based on the carbon emissions, and the energy structure of the comprehensive energy system is adjusted based on the carbon emission contribution, wherein the energy structure is used to indicate the proportion of the first energy consumption of each energy form in the total first energy consumption, and the higher the carbon emission contribution, the lower the proportion of the corresponding energy form in the comprehensive energy system.

2. The method according to claim 1, characterized in that The calculating the actual carbon emission factor of each energy form according to the carbon capture effect and the first energy consumption of each energy form comprises: Obtain standard carbon emission factors for each of the energy forms mentioned; Obtaining a total first energy consumption according to the first energy consumption of each of the energy forms; The actual carbon emission factor of each of the energy forms is calculated according to the carbon capture effect, the total first energy consumption and the standard carbon emission factor of each of the energy forms.

3. The method according to claim 2, characterized in that Before calculating the actual carbon emission factor of each of the energy forms, the method further includes: obtaining real-time operation data of each of the energy forms, the real-time operation data including at least temperature and pressure; The calculating the actual carbon emission factor of each energy form according to the carbon capture effect, the total first energy consumption and the standard carbon emission factor of each energy form comprises: adjusting the standard carbon emission factor of each of the energy forms according to the carbon capture effect, the total first energy consumption and the standard carbon emission factor of each of the energy forms; The real-time carbon emission factor is calculated based on the adjusted standard carbon emission factor of each energy form and the real-time operation data.

4. The method according to claim 3, characterized in that Calculating the carbon emission contribution of each energy form according to the carbon emission includes: Obtain total carbon emissions based on the carbon emissions of each of the energy forms mentioned; The carbon emission contribution of each energy form is obtained according to the total carbon emission and the carbon emission of each energy form.

5. The method according to claim 1, characterized in that After obtaining the carbon capture effect of the current cycle and the first energy consumption of each energy form, the method further includes: Acquiring real-time carbon capture data, wherein the real-time carbon capture data at least includes the second energy consumption, the temperature inside the device, and the pressure inside the device of the carbon capture device in the current cycle; Inputting the real-time carbon capture data into a trained carbon capture effect prediction model to obtain target carbon capture data, wherein the target carbon capture data at least includes a target temperature and / or a target pressure, and the target temperature and / or the target pressure are used to indicate a temperature and / or a pressure that can improve the carbon capture effect of the carbon capture device; The temperature and / or pressure in the carbon capture device is adjusted according to the target temperature and / or the target pressure to improve the carbon capture effect.

6. The method according to claim 5, characterized in that The target carbon capture data also includes a target resource conversion path, where the target resource conversion path is used to indicate the proportion of carbon dioxide captured by the carbon capture device that is used for different conversion methods, where the conversion method is synthetic fuel, synthetic chemical product or synthetic mineral carbonate; Correspondingly, the target temperature and / or target pressure include the optimal temperature and / or optimal pressure corresponding to different conversion methods, wherein the carbon capture device is adjusted according to the target resource conversion path and the target temperature and / or target pressure to maximize the carbon capture effect of the carbon capture device.

7. The method according to claim 6, characterized in that The carbon capture effect prediction model is constructed based on a conditional generative adversarial network model, wherein a generator of the conditional generative adversarial network model is used to generate a predicted carbon capture effect according to condition information, and a discriminator is used to discriminate the authenticity of the predicted carbon capture effect, wherein the generator and the discriminator have respective corresponding loss functions, and the condition information at least includes temperature and pressure; Before inputting the real-time carbon capture data into the trained carbon capture effect prediction model, the method further includes: Acquiring historical carbon capture data, wherein the historical carbon capture data includes historical operation data and historical carbon capture effects; The conditional generative adversarial network model is trained according to the historical carbon capture data to obtain a trained carbon capture effect prediction model, wherein in the trained carbon capture effect prediction model, the losses of the generator and the discriminator are balanced.

8. A carbon emission reduction device for an integrated energy system, characterized in that: include: an acquisition module, used to acquire the carbon capture effect of the current cycle and the first energy consumption of each energy form, wherein the carbon capture effect is used to indicate the amount of carbon dioxide captured by the carbon capture device; A first calculation module, configured to calculate an actual carbon emission factor of each of the energy forms according to the carbon capture effect and the first energy consumption of each of the energy forms, wherein the actual carbon emission factor is used to indicate a unit carbon emission of each of the energy forms in the current cycle; A second calculation module, used for calculating the carbon emission of each energy form in a current period according to the actual carbon emission factor of each energy form and the corresponding first energy consumption; An adjustment module is used to calculate the carbon emission contribution of each energy form based on the carbon emissions, and adjust the energy structure of the comprehensive energy system based on the carbon emission contribution, wherein the energy structure is used to indicate the proportion of the first energy consumption of each energy form in the total first energy consumption, and the higher the carbon emission contribution, the lower the proportion of the corresponding energy form in the comprehensive energy system.

9. A carbon emission reduction device for an integrated energy system, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

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