Hidden carbon pricing accounting method, device and system
By obtaining and analyzing multi-source data from thermal power plants, calculating hidden carbon costs and determining hidden carbon pricing based on carbon emission reduction effect values, the problem of difficult to quantify hidden carbon costs in thermal power generation is solved, and more accurate and reasonable carbon pricing is achieved.
Patent Information
- Application Number
- CN202510302496.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-14
- Publication Date
- 2025-06-27
AI Technical Summary
There are a large amount of hidden carbon costs in the thermal power generation process, which are difficult to effectively quantify and convert into hidden carbon pricing.
By obtaining multi-source data from thermal power plants, the weight information of each data is determined, direct expenditure, investment expenditure and production and lifestyle conversion expenditure are calculated, and the hidden carbon cost is determined, and the implicit carbon pricing is determined based on the carbon emission reduction effect value.
Accurate quantification of hidden carbon costs has been achieved, and the rationality and accuracy of carbon pricing has been improved.
Smart Images
Figure CN120218977A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field of thermal power generation, and in particular, to a method, device, and system for calculating implicit carbon pricing. Background Art
[0002] With the increasing global attention to climate change issues, carbon pricing, as an important market mechanism, has been widely used to promote greenhouse gas emissions reduction. Currently, the main forms of carbon pricing include carbon tax and emissions trading system (ETS), etc. However, during the thermal power generation process, there are still a large number of implicit carbon costs caused by factors such as environmental regulations, policies, and the increasing social requirements for environmental quality. At present, it is difficult to effectively quantify the implicit carbon costs in the thermal power generation process and convert them into implicit carbon pricing. Summary of the Invention
[0003] To overcome the problems existing in the related art, the present disclosure provides a method, device, and system for calculating implicit carbon pricing.
[0004] According to the first aspect of the embodiments of the present disclosure, a method for calculating implicit carbon pricing is provided, including:
[0005] Obtaining multi-source data associated with thermal power generation in a thermal power plant;
[0006] Determining the weight information of each multi-source data;
[0007] Based on the multi-source data and the weight information of each multi-source data, respectively determining the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure for implicit carbon costs;
[0008] Using the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure to determine the implicit carbon costs of the thermal power plant;
[0009] Obtaining the benchmark carbon emissions, carbon emissions after emission reduction, and the ratio of implicit carbon emissions of the thermal power plant, and determining the carbon emission reduction effect value based on the benchmark carbon emissions, carbon emissions after emission reduction, and the ratio of implicit carbon emissions;
[0010] Based on the carbon emission reduction effect value and the implicit carbon costs, determining the implicit carbon pricing for the thermal power generation of the thermal power plant.
[0011] In some embodiments of the present disclosure, the determining the weight information of each multi-source data includes:
[0012] Determining the data type to which each multi-source data belongs;
[0013] Using the analytic hierarchy process to determine the secondary weight of each multi-source data in the data type to which it belongs;
[0014] Determine the expenditure type to which each data type belongs; the expenditure types include direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure;
[0015] Use the analytic hierarchy process to determine the first-level weight of each data type in its affiliated expenditure type;
[0016] For each multi-source data, calculate the product of the first-level weight and the second-level weight corresponding to the multi-source data to obtain the weight information.
[0017] In some embodiments of the present disclosure, determining the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure for the invisible carbon cost based on the multi-source data and the weight information of each multi-source data respectively includes:
[0018] For each of the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure, obtain all the multi-source data associated with the expenditure and the weight information corresponding to each multi-source data, and use the weight information to perform weighted summation on all the multi-source data associated with the expenditure to obtain the value of the expenditure.
[0019] In some embodiments of the present disclosure, using the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure to determine the invisible carbon cost of the thermal power plant includes:
[0020] Add the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure to obtain the invisible carbon cost of the thermal power plant.
[0021] In some embodiments of the present disclosure, obtaining the benchmark carbon emission, the carbon emission after emission reduction, and the ratio of invisible carbon emission of the thermal power plant, and determining the carbon emission reduction effect value based on the benchmark carbon emission, the carbon emission after emission reduction, and the ratio of invisible carbon emission includes:
[0022] Calculate the product of the benchmark carbon emission and the ratio of invisible carbon emission to obtain the first correction value;
[0023] Calculate the sum of the benchmark carbon emission and the first correction value to obtain the corrected benchmark carbon emission;
[0024] Calculate the product of the carbon emission after emission reduction and the ratio of invisible carbon emission to obtain the second correction value;
[0025] Calculate the sum of the carbon emission after emission reduction and the second correction value to obtain the benchmark carbon emission after emission reduction with complete correction;
[0026] Calculate the difference between the corrected benchmark carbon emission and the benchmark carbon emission after emission reduction with complete correction to obtain the first difference;
[0027] Calculate the proportion of the first difference in the corrected baseline carbon emissions to obtain the carbon emission reduction effect value.
[0028] In some embodiments of the present disclosure, determining the implicit carbon pricing for thermal power generation of the thermal power plant based on the carbon emission reduction effect value and the implicit carbon cost includes:
[0029] Calculate the proportion of the implicit carbon cost in the carbon emission reduction effect value to obtain the implicit carbon pricing for thermal power generation of the thermal power plant.
[0030] According to a second aspect of the embodiments of the present disclosure, there is provided an implicit carbon pricing accounting device, characterized by including:
[0031] An acquisition unit for acquiring multi-source data related to thermal power generation in a thermal power plant;
[0032] A first determination unit for determining the weight information of each multi-source data;
[0033] A second determination unit for respectively determining the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure for the implicit carbon cost based on the multi-source data and the weight information of each multi-source data;
[0034] A third determination unit for determining the implicit carbon cost of the thermal power plant by using the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure;
[0035] A fourth determination unit for acquiring the baseline carbon emissions, the carbon emissions after emission reduction, and the proportion of implicit carbon emissions of the thermal power plant, and determining the carbon emission reduction effect value based on the baseline carbon emissions, the carbon emissions after emission reduction, and the proportion of implicit carbon emissions;
[0036] A fifth determination unit for determining the implicit carbon pricing for thermal power generation of the thermal power plant based on the carbon emission reduction effect value and the implicit carbon cost.
[0037] According to a third aspect of the embodiments of the present disclosure, an electronic device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method described in any one of the first aspect is implemented.
[0038] According to a fourth aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method described in any one of the first aspect is implemented.
[0039] According to a fifth aspect of the embodiments of the present disclosure, there is provided a computer program product including a computer program which, when executed by a processor, implements the method according to any one of the first aspect.
[0040] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: By obtaining multi-source data associated with thermal power generation in a thermal power plant; determining the weight information of each multi-source data; respectively determining the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure for the implicit carbon cost based on the multi-source data and the weight information of each multi-source data; using the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure to determine the implicit carbon cost of the thermal power plant; obtaining the benchmark carbon emissions, the carbon emissions after emission reduction, and the ratio of implicit carbon emissions of the thermal power plant, and determining the carbon emission reduction effect value based on the benchmark carbon emissions, the carbon emissions after emission reduction, and the ratio of implicit carbon emissions; determining the implicit carbon pricing for thermal power generation of the thermal power plant based on the carbon emission reduction effect value and the implicit carbon cost. Determining the implicit carbon pricing based on the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure can effectively and accurately quantify the implicit carbon cost, and improve the rationality and accuracy of carbon pricing.
[0041] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present invention, and are used together with the specification to explain the principles of the present invention.
[0043] Figure 1 is a flowchart of a method for calculating implicit carbon pricing shown according to an exemplary embodiment.
[0044] Figure 2 is a block diagram of a device for calculating implicit carbon pricing shown according to an exemplary embodiment.
[0045] Figure 3 is a block diagram of a device for a method for calculating implicit carbon pricing shown according to an exemplary embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0046] Here, the exemplary embodiments will be described in detail, and the examples are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.
[0047] The terms used in the embodiments of the present disclosure are for the purpose of describing specific embodiments only and are not intended to limit the embodiments of the present disclosure. The singular forms "a" and "the" used in the embodiments of the present disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.
[0048] It should be understood that although the terms first, second, third, etc. may be used in the embodiments of the present disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the embodiments of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "when" as used herein may be interpreted as "when" or "while" or "in response to determining".
[0049] In addition, various forms of processes shown in the embodiments of the present disclosure can be used, steps can be reordered, added or deleted. For example, the steps described in this application can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and no limitation is made herein.
[0050] With the increasing global attention to climate change issues, carbon pricing, as an important market mechanism, has been widely used to promote greenhouse gas emissions reduction. Currently, the main forms of carbon pricing include carbon tax and emissions trading system (ETS), etc. However, in the process of thermal power generation, there are still a large number of implicit carbon costs caused by factors such as environmental regulations, policies, and the increasing social requirements for environmental quality. At present, it is difficult to effectively quantify the implicit carbon costs in the process of thermal power generation and convert them into implicit carbon pricing.
[0051] To solve the above problems, the present disclosure provides a method, device and system for calculating implicit carbon pricing. By obtaining multi-source data related to thermal power generation in a thermal power plant; determining the weight information of each multi-source data; based on the multi-source data and the weight information of each multi-source data, respectively determining the direct expenditure, investment expenditure and production and lifestyle transformation cost expenditure for implicit carbon costs; using the direct expenditure, investment expenditure and production and lifestyle transformation cost expenditure to determine the implicit carbon costs of the thermal power plant; obtaining the benchmark carbon emissions, carbon emissions after emission reduction and the ratio of implicit carbon emissions of the thermal power plant, and based on the benchmark carbon emissions, carbon emissions after emission reduction and the ratio of implicit carbon emissions, determining the carbon emission reduction effect value; based on the carbon emission reduction effect value and the implicit carbon costs, determining the implicit carbon pricing for the thermal power generation of the thermal power plant. Determining the implicit carbon pricing based on the direct expenditure, investment expenditure and production and lifestyle transformation cost expenditure can effectively and accurately quantify the implicit carbon costs, and improve the rationality and accuracy of carbon pricing.
[0052] Figure 1 is a flowchart of a method for calculating implicit carbon pricing shown according to an exemplary embodiment, as Figure 1 shown. It should be noted that the method for calculating implicit carbon pricing in the embodiments of the present disclosure is applied to an implicit carbon pricing calculation device. As Figure 1 shown, the method may include the following steps:
[0053] Step 101, obtain multi-source data related to thermal power generation in a thermal power plant.
[0054] In some embodiments of the present application, the above multi-source data may be multi-source data related to the objects of carbon reduction policies (i.e., thermal power plants). It may include energy consumption data, covering the usage amounts and proportions of various fossil energies and clean energies; production process data, such as process flows and production equipment parameters; product output data; environmental monitoring data, such as the concentrations of surrounding atmospheric pollutants and water quality indicators; industry-related policy and regulation data, such as environmental protection standards and energy conservation and emission reduction requirements; and regional economic data, such as regional GDP and industrial structure. At the same time, collect in detail the direct expenditure data caused by carbon reduction policy measures, such as fuel cost changes; investment expenditure data, such as equipment energy-saving transformation expenditures; and production and lifestyle transformation cost expenditure data, such as additional operating costs.
[0055] As an example, the above multi-source data can be collected from various channels such as enterprise internal information systems (such as energy management systems and production management systems), external databases (such as government environmental monitoring data platforms and industry statistical databases), and manual entry, collect various types of data required for accounting, and conduct preliminary cleaning and sorting of the data, removing outliers and duplicate data, and especially paying attention to the accurate collection of cost expenditure data for carbon reduction policy measures.
[0056] Step 102, determine the weight information of each multi-source data.
[0057] In one embodiment, the weights of different factors (i.e., different multi-source data) affecting implicit carbon pricing can be determined according to the collected multi-source data, where the weight information is used to reflect the influence degree of the multi-source data on implicit carbon pricing.
[0058] In some embodiments of the present application, the dynamic changes of policies and regulations and industry development information related to the implicit carbon pricing of thermal power generation can be monitored. In the case of monitoring a change in policies and regulations, obtain the change data of the policies and regulations, and update the above weights based on the change data, so as to enable the implicit carbon pricing to be adapted to the latest policies and regulations and industry development situation.
[0059] For example, key factors include energy consumption structure, where a high proportion of high-carbon energy has a great impact on implicit carbon pricing; carbon emission intensity of production processes, where high-emission processes have a high weight; strictness of environmental regulation, where regions with strict regulation have a high weight; and industry emission reduction pressure, where industries with high emission reduction pressure have a high weight. In addition, it is also necessary to determine the proportion of carbon reduction policy measures in the total cost.
[0060] In some embodiments of the present application, step 102 may specifically include the following steps:
[0061] Determine the data type of each multi-source data;
[0062] The hierarchical analysis method is used to determine the secondary weight of each multi-source data in the data type to which it belongs;
[0063] Determine the expenditure type to which each data type belongs; expenditure types include direct expenditure, investment expenditure, and expenditure on the cost of transformation of production and lifestyle;
[0064] Use the analytic hierarchy process to determine the primary weight of each data type in the expenditure type to which it belongs;
[0065] For each multi-source data, the product of the primary weight and the secondary weight corresponding to the multi-source data is calculated to obtain the weight information.
[0066] For example, the data types of process flow and production equipment parameters are production process data, and the data types of atmospheric pollutant concentrations and water quality indicators around thermal power plants are environmental monitoring data. Since the same type of data may include multiple multi-source data, the hierarchical analysis method can be used to determine the degree of influence of the data on the data type to which it belongs, such as the degree of influence of water quality indicators on environmental monitoring, so as to determine the secondary weights.
[0067] In one embodiment, the expenditure type is used to calculate the hidden carbon cost of a thermal power plant, and different types of expenditures need to be calculated using different multi-source data.
[0068] It should be noted that direct expenditure refers to the daily operating expenses increased to reduce hidden carbon emissions, mainly including fuel supply chain optimization, emission monitoring and maintenance, such as methane capture and utilization, and low-carbon transportation costs; investment expenditure refers to the initial facility construction or technology upgrade investment required to achieve hidden carbon emission reduction, which is usually amortized to long-term costs through depreciation, such as coal mine methane recovery facilities, low-carbon building materials substitution, and carbonized ash resource equipment. The cost expenditure of the transformation of production and lifestyle refers to the comprehensive cost paid by the society in terms of industrial structure adjustment, employment transfer, and changes in consumption habits in order to achieve emission reduction targets, such as industrial transformation costs, consumer costs (transmitted by rising electricity prices), and policy implementation costs (building a carbon monitoring system).
[0069] Step 103: Based on the multi-source data and the weight information of each multi-source data, respectively determine the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure for the invisible carbon cost.
[0070] In some embodiments of the present application, step 103 may specifically include the following steps:
[0071] For each of the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure, obtain all the multi-source data associated with the expenditure and the weight information corresponding to each multi-source data, and use the weight information to perform weighted summation on all the multi-source data associated with the expenditure to obtain the value of the expenditure.
[0072] Step 104: Determine the invisible carbon cost of the thermal power plant using the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure.
[0073] In some embodiments of the present application, step 104 may specifically include the following steps:
[0074] Add the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure to obtain the invisible carbon cost of the thermal power plant.
[0075] Step 105: Obtain the benchmark carbon emissions, carbon emissions after emission reduction, and the proportion of invisible carbon emissions of the thermal power plant, and determine the carbon emission reduction effect value based on the benchmark carbon emissions, carbon emissions after emission reduction, and the proportion of invisible carbon emissions.
[0076] In one embodiment, in order to more accurately judge the effect of carbon emission reduction, the factor of invisible carbon emissions needs to be considered. Therefore, based on the benchmark carbon emissions and the carbon emissions after emission reduction, the proportion of invisible carbon emissions also needs to be obtained.
[0077] It should be noted that the proportion of invisible carbon emissions can be the proportion of carbon emissions in links such as coal mining and transportation in the whole life cycle, that is, the breakdown of the carbon emissions in the whole life cycle of a coal-fired power plant. In addition, the proportion of invisible carbon emissions can be a simplified value obtained by integrating international research and typical scenarios, and actually needs to be adjusted according to the coal mine type, transportation distance, technical process, etc.
[0078] In some embodiments of the present application, step 105 may specifically include the following steps:
[0079] Calculate the product of the benchmark carbon emissions and the proportion of invisible carbon emissions to obtain the first correction value;
[0080] Calculate the sum of the benchmark carbon emissions and the first correction value to obtain the corrected benchmark carbon emissions;
[0081] Calculate the product of the carbon emissions after emission reduction and the proportion of invisible carbon emissions to obtain the second correction value;
[0082] Calculate the sum of the carbon emissions after emission reduction and the second correction value to obtain the benchmark carbon emissions after emission reduction that have been corrected;
[0083] Calculate the difference between the corrected benchmark carbon emissions and the benchmark carbon emissions after emission reduction that have been corrected to obtain the first difference;
[0084] Calculate the proportion of the first difference in the corrected benchmark carbon emissions to obtain the carbon emission reduction effect value.
[0085] In one embodiment, the following formula can be used to calculate the carbon emission reduction effect value:
[0086]
[0087] where ΔC is the carbon emission reduction effect value, E_benchmark is the benchmark carbon emissions, E_after emission reduction is the carbon emissions after emission reduction, and the proportion of implicit carbon emissions can be 15%.
[0088] Step 106, determine the implicit carbon pricing for thermal power generation in a thermal power plant based on the carbon emission reduction effect value and the implicit carbon cost.
[0089] In some embodiments of the present application, step 106 may specifically include the following steps:
[0090] Calculate the proportion of the implicit carbon cost in the carbon emission reduction effect value to obtain the implicit carbon pricing for thermal power generation in a thermal power plant.
[0091] In one embodiment, the following formula can be used to calculate the implicit carbon pricing:
[0092]
[0093] where ICP is the implicit carbon pricing (yuan), IC p is the implicit carbon cost (yuan), ΔC is the carbon emission reduction effect (%), DE p is the direct expenditure (yuan), IE p is the investment expenditure (yuan), PLE p is the cost expenditure for the transformation of production and lifestyle (yuan).
[0094] According to the implicit carbon pricing accounting method proposed by the embodiments of the present disclosure, multi-source data related to thermal power generation in a thermal power plant is obtained; the weight information of each multi-source data is determined; based on the multi-source data and the weight information of each multi-source data, the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure for the implicit carbon cost are respectively determined; the implicit carbon cost of the thermal power plant is determined by using the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure; the benchmark carbon emissions, carbon emissions after emission reduction, and the ratio of implicit carbon emissions of the thermal power plant are obtained, and based on the benchmark carbon emissions, carbon emissions after emission reduction, and the ratio of implicit carbon emissions, the carbon emission reduction effect value is determined; based on the carbon emission reduction effect value and the implicit carbon cost, the implicit carbon pricing for the thermal power generation of the thermal power plant is determined. By determining the implicit carbon pricing based on the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure, the implicit carbon cost can be effectively quantified accurately, and the rationality and accuracy of carbon pricing are improved.
[0095] Figure 2 is a block diagram of an implicit carbon pricing accounting device shown according to an exemplary embodiment. Refer to Figure 2 and the device includes an acquisition unit 201, a first determination unit 202, a second determination unit 203, a third determination unit 204, a fourth determination unit 205, and a fifth determination unit 206.
[0096] Among them, the acquisition unit 201 is used to acquire multi-source data related to thermal power generation in a thermal power plant;
[0097] The first determination unit 202 is used to determine the weight information of each multi-source data;
[0098] The second determination unit 203 is used to respectively determine the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure for the implicit carbon cost based on the multi-source data and the weight information of each multi-source data;
[0099] The third determination unit 204 is used to determine the implicit carbon cost of the thermal power plant by using the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure;
[0100] The fourth determination unit 205 is used to acquire the benchmark carbon emissions, carbon emissions after emission reduction, and the ratio of implicit carbon emissions of the thermal power plant, and determine the carbon emission reduction effect value based on the benchmark carbon emissions, carbon emissions after emission reduction, and the ratio of implicit carbon emissions;
[0101] The fifth determination unit 206 is used to determine the implicit carbon pricing for the thermal power generation of the thermal power plant based on the carbon emission reduction effect value and the implicit carbon cost.
[0102] In some embodiments of the present application, the first determination unit 202 is specifically used for:
[0103] Determine the data type of each multi-source data;
[0104] The hierarchical analysis method is used to determine the secondary weight of each multi-source data in the data type to which it belongs;
[0105] Determine the expenditure type to which each data type belongs; expenditure types include direct expenditure, investment expenditure, and expenditure on the cost of transformation of production and lifestyle;
[0106] Use the analytic hierarchy process to determine the primary weight of each data type in the expenditure type to which it belongs;
[0107] For each multi-source data, the product of the primary weight and the secondary weight corresponding to the multi-source data is calculated to obtain the weight information.
[0108] In some embodiments of the present application, the second determining unit 203 is specifically configured to:
[0109] For each expenditure in direct expenditure, investment expenditure and production and lifestyle transformation cost expenditure, all multi-source data associated with the expenditure and the weight information corresponding to each multi-source data are obtained, and the weight information is used to perform weighted summation on all multi-source data associated with the expenditure to obtain the value of the expenditure.
[0110] In some embodiments of the present application, the third determination unit 204 is specifically used to add direct expenditures, investment expenditures, and production and lifestyle transformation costs to obtain the invisible carbon cost of the thermal power plant.
[0111] In some embodiments of the present application, the fourth determining unit 205 is specifically configured to:
[0112] Calculate the product of the baseline carbon emissions and the implicit carbon emissions ratio to obtain the first correction value;
[0113] Calculate the sum of the baseline carbon emissions and the first correction value to obtain the corrected baseline carbon emissions;
[0114] Calculate the product of the carbon emissions after emission reduction and the percentage of implicit carbon emissions to obtain the second correction value;
[0115] Calculate the sum of the carbon emissions after emission reduction and the second correction value to obtain the baseline carbon emissions after the correction is completed;
[0116] Calculate the difference between the revised baseline carbon emissions and the revised baseline carbon emissions after emission reduction to obtain a first difference;
[0117] The proportion of the first difference in the corrected baseline carbon emissions is calculated to obtain the carbon emission reduction effect value.
[0118] In some embodiments of the present application, the fifth determination unit 206 is specifically configured to: calculate the proportion of the invisible carbon cost in the carbon emission reduction effect value to obtain the implicit carbon pricing for thermal power generation in a thermal power plant.
[0119] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.
[0120] The implicit carbon pricing accounting device proposed according to the embodiments of the present disclosure obtains multi-source data associated with thermal power generation in a thermal power plant; determines the weight information of each multi-source data; based on the multi-source data and the weight information of each multi-source data, respectively determines the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure for invisible carbon costs; uses the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure to determine the invisible carbon cost of the thermal power plant; obtains the benchmark carbon emissions, the carbon emissions after emission reduction, and the proportion of implicit carbon emissions of the thermal power plant, and determines the carbon emission reduction effect value based on the benchmark carbon emissions, the carbon emissions after emission reduction, and the proportion of implicit carbon emissions; determines the implicit carbon pricing for thermal power generation in the thermal power plant based on the carbon emission reduction effect value and the invisible carbon cost. Determining the implicit carbon pricing based on the direct expenditure, investment expenditure, and production and lifestyle transformation cost expenditure can effectively quantify the invisible carbon cost accurately, and improve the rationality and accuracy of carbon pricing.
[0121] Figure 3 It is a block diagram of a device for an implicit carbon pricing accounting method shown according to an exemplary embodiment. For example, the device 300 may be an electronic device, such as a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.
[0122] Referring to Figure 3 , the device 300 may include one or more of the following components: a processing component 302, a memory 304, a power component 306, a multimedia component 308, an audio component 310, an input / output (I / O) interface 312, a sensor component 314, and a communication component 316.
[0123] The processing component 302 generally controls the overall operation of the device 300, such as operations associated with display, telephone calls, data communication, camera operations, and recording operations. The processing component 302 may include one or more processors 320 to execute instructions to complete all or part of the steps of the above method. In addition, the processing component 302 may include one or more modules to facilitate the interaction between the processing component 302 and other components. For example, the processing component 302 may include a multimedia module to facilitate the interaction between the multimedia component 308 and the processing component 302.
[0124] The memory 304 is configured to store various types of data to support the operation of the device 300. Examples of such data include instructions for any application or method operating on the device 300, contact data, phone book data, messages, pictures, videos, and the like. The memory 304 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, a magnetic disk, or an optical disk.
[0125] The power component 306 provides power to various components of the device 300. The power component 306 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 300.
[0126] The multimedia component 308 includes a screen that provides an output interface between the device 300 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors can not only sense the boundaries of touch or swipe actions but also detect the duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 308 includes a front camera and / or a rear camera. When the device 300 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each of the front camera and the rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
[0127] The audio component 310 is configured to output and / or input audio signals. For example, the audio component 310 includes a microphone (MIC) that is configured to receive external audio signals when the device 300 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory 304 or transmitted via the communication component 316. In some embodiments, the audio component 310 further includes a speaker for outputting audio signals.
[0128] The I / O interface 312 provides an interface between the processing component 302 and a peripheral interface module, which can be a keyboard, a click wheel, buttons, etc. These buttons can include, but are not limited to: a home button, a volume button, a power-on button, and a lock button.
[0129] The sensor assembly 314 includes one or more sensors for providing a status assessment of various aspects of the device 300. For example, the sensor assembly 314 can detect the on / off state of the device 300, the relative positioning of components, such as the display and keypad of the device 300. The sensor assembly 314 can also detect a change in the position of the device 300 or a component of the device 300, the presence or absence of user contact with the device 300, the orientation or acceleration / deceleration of the device 300, and a change in the temperature of the device 300. The sensor assembly 314 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 314 can also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 314 can also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
[0130] The communication component 316 is configured to facilitate communication between the device 300 and other devices in a wired or wireless manner. The device 300 can access a wireless network based on communication standards, such as WiFi, 2G, or 3G, or a combination thereof. In an exemplary embodiment, the communication component 316 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 316 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
[0131] In an exemplary embodiment, the device 300 can be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above method.
[0132] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions, such as the memory 304 including instructions, is also provided. The above instructions can be executed by the processor 320 of the device 300 to complete the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.
[0133] In an exemplary embodiment, a computer program product including a computer program is also provided. The computer program implements the above method when executed by the processor 320 of the device 300.
[0134] Other embodiments of the present invention will be readily apparent to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include known common general knowledge or conventional technical means in the technical field not disclosed herein. The specification and examples are only to be considered as exemplary, and the true scope and spirit of the invention are pointed out by the following claims.
[0135] It should be understood that the present invention is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.
Claims
1. An implicit carbon pricing accounting method, characterized in that: include: Acquire multi-source data related to thermal power generation in thermal power plants; Determine the weight information of each multi-source data; Based on the multi-source data and the weight information of each multi-source data, respectively determine the direct expenditure, investment expenditure and production and lifestyle transformation cost expenditure for the invisible carbon cost; Determine the hidden carbon cost of the thermal power plant using the direct expenditure, investment expenditure and production and lifestyle transformation cost expenditure; Obtaining the baseline carbon emissions, the carbon emissions after emission reduction, and the implicit carbon emissions ratio of the thermal power plant, and determining the carbon emission reduction effect value based on the baseline carbon emissions, the carbon emissions after emission reduction, and the implicit carbon emissions ratio; Based on the carbon emission reduction effect value and the implicit carbon cost, the implicit carbon pricing of the thermal power generation of the thermal power plant is determined.
2. The implicit carbon pricing accounting method according to claim 1 is characterized in that: The determining of weight information of each multi-source data includes: Determine the data type of each multi-source data; The hierarchical analysis method is used to determine the secondary weight of each multi-source data in the data type to which it belongs; Determine the expenditure type to which each data type belongs; the expenditure types include direct expenditure, investment expenditure and expenditure on production and lifestyle transformation costs; Use the analytic hierarchy process to determine the primary weight of each data type in the expenditure type to which it belongs; For each multi-source data, the product of the primary weight and the secondary weight corresponding to the multi-source data is calculated to obtain the weight information.
3. The implicit carbon pricing accounting method according to claim 2 is characterized in that: The direct expenditure, investment expenditure and production and lifestyle transformation cost expenditure for invisible carbon costs are determined based on the multi-source data and the weight information of each multi-source data, including: For each of the direct expenditures, investment expenditures and production and lifestyle transformation cost expenditures, all multi-source data associated with the expenditures and the weight information corresponding to each multi-source data are obtained, and the weight information is used to perform weighted summation on all the multi-source data associated with the expenditures to obtain the value of the expenditure.
4. The implicit carbon pricing accounting method according to claim 2 is characterized in that: The hidden carbon cost of the thermal power plant is determined by using the direct expenditure, investment expenditure and production and lifestyle transformation cost expenditure, including: The direct expenditure, investment expenditure and production and lifestyle transformation cost are added together to obtain the hidden carbon cost of the thermal power plant.
5. The implicit carbon pricing accounting method according to claim 1, characterized in that: The obtaining of the baseline carbon emissions, the carbon emissions after emission reduction and the implicit carbon emissions ratio of the thermal power plant, and determining the carbon emission reduction effect value based on the baseline carbon emissions, the carbon emissions after emission reduction and the implicit carbon emissions ratio, includes: Calculating the product of the baseline carbon emissions and the implicit carbon emissions ratio to obtain a first correction value; Calculating the sum of the baseline carbon emissions and the first correction value to obtain a corrected baseline carbon emissions; Calculating the product of the carbon emissions after the reduction and the implicit carbon emissions ratio to obtain a second correction value; Calculating the sum of the carbon emissions after the reduction and the second correction value to obtain a baseline carbon emissions after the reduction after the correction is completed; Calculating the difference between the corrected baseline carbon emissions and the corrected baseline carbon emissions after emission reduction to obtain a first difference; The proportion of the first difference in the corrected baseline carbon emissions is calculated to obtain the carbon emission reduction effect value.
6. The implicit carbon pricing accounting method according to claim 1, characterized in that: The step of determining the implicit carbon pricing of thermal power generation of the thermal power plant based on the carbon emission reduction effect value and the implicit carbon cost includes: The proportion of the invisible carbon cost in the carbon emission reduction effect value is calculated to obtain the invisible carbon pricing of the thermal power generation of the thermal power plant.
7. An implicit carbon pricing accounting device, characterized in that: include: An acquisition unit, used for acquiring multi-source data associated with thermal power generation in a thermal power plant; A first determining unit, used to determine weight information of each multi-source data; A second determination unit is used to determine the direct expenditure, investment expenditure and production and lifestyle transformation cost expenditure for the invisible carbon cost respectively based on the multi-source data and the weight information of each multi-source data; A third determination unit is used to determine the hidden carbon cost of the thermal power plant by using the direct expenditure, investment expenditure and production and lifestyle transformation cost expenditure; a fourth determination unit, configured to obtain the baseline carbon emissions, the carbon emissions after emission reduction, and the implicit carbon emissions ratio of the thermal power plant, and determine the carbon emission reduction effect value based on the baseline carbon emissions, the carbon emissions after emission reduction, and the implicit carbon emissions ratio; The fifth determination unit is used to determine the implicit carbon pricing of the thermal power generation of the thermal power plant based on the carbon emission reduction effect value and the implicit carbon cost.
8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.
10. A computer program product, comprising a computer program, characterized in that The computer program implements the method according to any one of claims 1 to 6 when executed by a processor.