CN116228495A - Method and acquisition device for determining dynamic carbon emission factors of multifunctional complementary enterprises - Google Patents
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Abstract
The invention relates to the technical field of enterprise carbon emission accounting, in particular to a method for determining a dynamic carbon emission factor of a multifunctional complementary enterprise and a carbon emission acquisition device using the method for determining the dynamic carbon emission factor of the multifunctional complementary enterprise. According to the invention, by acquiring the carbon emission accounting boundary model information of the carbon emission acquisition device and accessing the energy consumption activity data metered by the carbon emission acquisition energy metering equipment, according to the carbon emission accounting boundary model information and the energy consumption activity data classification one-to-one correspondence, the instant enterprise carbon emission is determined by combining the power grid carbon emission factors of the region of the enterprise, and the dynamic carbon emission factors are deduced according to the instant enterprise carbon emission, so that the carbon emission accounting of the energy consumption of a multifunctional complementary enterprise is realized, and the instantaneity and the credibility of the enterprise carbon emission data are improved.
Description
Technical Field
The invention relates to the technical field of enterprise carbon emission accounting, in particular to a method for determining a dynamic carbon emission factor of a multifunctional complementary enterprise and a carbon emission acquisition device using the method for determining the dynamic carbon emission factor of the multifunctional complementary enterprise.
Background
The enterprise carbon emission nuclear calculation is a basic premise of effectively developing various carbon emission reduction works and promoting economic green transformation, and is an important support for actively participating in coping with international negotiations of climate change. The carbon accounting can directly quantify the carbon emission data, and can find out potential emission reduction links and modes by analyzing the carbon emission data of each link, which is important to the realization of a carbon neutralization target and the operation of a carbon trade market.
In the prior art, there are three general ways of accounting for carbon emissions: an emission factor method, a mass balance method and an actual measurement method. For enterprises taking electricity as a main energy source, an emission factor method is generally adopted in the indirect carbon emission formed by calculating the electricity consumption of the enterprises, and accounting is performed based on regional power grid carbon emission factors.
However, the existing emission factor method has the following problems: because of regional energy quality difference, unit combustion efficiency difference and the like, large deviation is easy to occur in various energy consumption statistics and carbon emission factor measurement. Meanwhile, distributed energy is developed in all areas and enterprises, and the carbon emission factor of the power grid cannot accurately reflect the objective condition of renewable energy power development of the enterprises in all areas. Moreover, the distribution period of the calculated data of the carbon emission factor of the power grid is generally in units of years, which is not beneficial to objectively evaluating the carbon emission reduction effect of enterprises and scientifically promoting the carbon emission reduction work: because the calculation of the carbon emission factor of the power grid is not conducted to enterprises in time, the fusion development of the electric carbon market cannot be effectively promoted, the electricity consumption behavior of the enterprises and the transaction behavior of the enterprises in the electric power market and the carbon market cannot be influenced, and the enterprises cannot be driven to flexibly select the production mode with the advantage of clean energy.
Disclosure of Invention
Based on the above, it is necessary to provide a method for determining dynamic carbon emission factors of a multi-energy complementary enterprise and a carbon emission collection device for solving the problems that the existing carbon emission factor measurement is easy to have larger deviation and the data statistics period is too long.
The invention is realized by adopting the following technical scheme:
in a first aspect, the invention discloses a method for determining a dynamic carbon emission factor of a multifunctional complementary enterprise, which is applied to a carbon emission collection device, wherein the carbon emission collection device is used for collecting carbon emission related data of the enterprise.
The method for determining the dynamic carbon emission factor of the multi-energy complementary enterprise comprises the following steps:
acquiring carbon emission accounting boundary model information of a carbon emission acquisition device;
acquiring energy consumption activity data metered by energy metering equipment connected with a carbon emission acquisition device;
acquiring a power grid carbon emission factor of a region where an enterprise connected with a carbon emission acquisition device belongs;
taking delta T as a time period, combining the acquired energy consumption activity data of delta T with carbon emission accounting boundary model information and power grid carbon emission factors of the areas where enterprises belong to, and accounting the enterprise carbon emission amount of delta T;
and deducing a dynamic carbon emission factor according to the enterprise carbon emission of delta T and combining the collected energy consumption activity data of delta T.
The multi-energy complementary enterprise dynamic carbon emission factor determination method implements a method or process according to embodiments of the present disclosure.
In a second aspect, the invention discloses a carbon emission collection device of a multi-energy complementary enterprise, and the method for determining the dynamic carbon emission factor of the multi-energy complementary enterprise disclosed in the first aspect is used.
And the carbon emission collection device is in communication connection with the carbon metering monitoring platform and the energy metering equipment. The carbon metering monitoring platform is used for transmitting the carbon emission factors of the power grid in the area where the enterprise belongs to the carbon emission collection device. The energy metering device is used for metering energy consumption activity data.
The carbon emission collection device of the multifunctional complementary enterprise comprises an uplink communication module, an edge calculation module, a data storage module and a local communication module.
The local communication module is used for acquiring and transmitting the energy consumption activity data of the energy metering equipment. The edge calculation module is used for obtaining the power grid carbon emission factor of the region to which the enterprise belongs, and carrying out coupling calculation according to the energy consumption activity data and combining the power grid carbon emission factor of the region to which the enterprise belongs to obtain the dynamic carbon emission factor. The data storage module is used for classifying and summarizing the energy consumption activity data and storing the calculation results according to the carbon emission accounting boundary model information, the energy consumption activity data, the power grid carbon emission factors of the areas where the enterprises belong and the related calculation results. The uplink communication module is used for receiving a data packet containing the power grid carbon emission factors of the region where the enterprise belongs and issued by the carbon metering monitoring platform, and sending the data packet to the data storage module, so that the edge calculation module determines the enterprise carbon emission data according to the energy consumption activity data and the power grid carbon emission factors of the region where the enterprise belongs, uploads the data to the carbon metering monitoring platform, and uploads the calculated dynamic carbon emission factors to the carbon metering monitoring platform.
The carbon emission collection device of the multi-energy complementary enterprise implements a method or process according to embodiments of the present disclosure.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, by acquiring the carbon emission accounting boundary model information of the carbon emission acquisition device and accessing the energy consumption activity data metered by the carbon emission acquisition energy metering equipment, according to the carbon emission accounting boundary model information and the energy consumption activity data classification one-to-one correspondence, the instant enterprise carbon emission is determined by combining the power grid carbon emission factors of the region of the enterprise, and the dynamic carbon emission factors are deduced according to the instant enterprise carbon emission, so that the carbon emission accounting of the energy consumption of a multifunctional complementary enterprise is realized, and the instantaneity and the credibility of the enterprise carbon emission data are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for determining dynamic carbon emission factors of a multi-energy complementary enterprise according to embodiment 1 of the present invention;
FIG. 2 is a detail of the energy consumption activity data measured by the energy metering device of FIG. 1 accessing the carbon emission collection device;
FIG. 3 is a specific illustration of the enterprise carbon emissions of FIG. 1 for which ΔT is calculated;
fig. 4 is a schematic structural diagram of a carbon emission collection device of a multi-energy complementary enterprise according to embodiment 2 of the present invention.
In the drawings, the list of components represented by the various numbers is as follows:
1. the system comprises an edge acquisition device 100, a parameter setting module 101, a carbon emission accounting model module 102, an uplink communication module 103, an edge calculation module 104, a data storage module 105, a local communication module 2, energy metering equipment 3 and a carbon emission monitoring platform.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It is noted that when an element is referred to as being "mounted to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "disposed on" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "secured to" another element, it can be directly secured to the other element or intervening elements may also be present.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "or/and" as used herein includes any and all combinations of one or more of the associated listed items.
Example 1
Referring to fig. 1, a flowchart of a method for determining dynamic carbon emission factors of a multi-energy complementary enterprise disclosed in embodiment 1 of the present invention is applied to a carbon emission collection device, and can be applied to an application scenario in which the carbon emission collection device performs multiple energy data collection of the enterprise and then performs carbon accounting according to energy activity data. The carbon emission collection device (also referred to as an edge collection device) may be implemented in hardware and/or software.
Referring to fig. 1, the method for determining the dynamic carbon emission factor of the multi-energy complementary enterprise specifically comprises the following steps:
(one): and acquiring the carbon emission accounting boundary model information of the carbon emission acquisition device.
Wherein the carbon emission accounting boundary model information includes: the method comprises the steps of obtaining information such as carbon emission converted by one-time electricity (1 kilowatt hour) of distributed photovoltaic, carbon emission converted by energy storage charge conversion efficiency, carbon emission converted by energy storage discharge conversion efficiency, carbon emission reduced by on-grid electricity deduction, carbon emission converted by off-grid electricity and the like.
(II): and acquiring energy consumption activity data metered by energy metering equipment connected with the carbon emission collection device.
The energy consumption activity data (may be abbreviated as AD) is a distributed photovoltaic power generation amount (i.e., an electric quantity generated by an enterprise installing a distributed photovoltaic power station), an energy storage charging amount (i.e., an electric quantity and conversion efficiency consumed by the enterprise installing an energy storage device for charging), an energy storage discharging amount (i.e., an electric quantity and conversion efficiency generated by the enterprise installing the energy storage device for discharging), an online electric quantity (i.e., an electric quantity reversely conveyed by the enterprise to the power grid), a offline electric quantity (i.e., an electric quantity consumed by the enterprise from the power grid due to a production activity process), and the like.
In this embodiment 1, an energy metering device with single-phase and three-phase forward and reverse metering may be used to connect with the carbon emission collection device in a communication manner, and the energy metering device detects the load of the inlet line end of the enterprise side power grid, the energy consumption activity data of the link end of the distributed photovoltaic and energy storage device and the power grid, and transmits the detected data to the carbon emission collection device.
(III): and acquiring the carbon emission factor of the power grid in the region of the enterprise connected with the carbon emission acquisition device.
Wherein the emission factor (abbreviated as EF) is a greenhouse gas emission coefficient corresponding to the energy consumption activity data for characterizing the unit production or consumption activity. For example, the emission factors may include carbon content or elemental carbon content per unit heating value, oxidation rate, and the like.
Specifically, the carbon emission collection device sends an emission factor query data packet through a communication technology, receives a regional power grid carbon emission factor feedback data packet returned after query, wherein the regional power grid carbon emission factor feedback data packet comprises the latest emission factor of the region where the carbon emission collection device is located, and the latest emission factor is a parameter issued by the national government administration or calculated by regional representative measurement data, and is not limited.
In this embodiment 1, the grid carbon emission factor of the region to which the business belongs is a regional grid carbon emission factor issued by the region of the administrative province to which the business belongs. The specific mode of acquisition is as follows: the regional power grid carbon emission factors of the enterprises are firstly set by a parameter setting module of a carbon emission acquisition device connected to the enterprises, and then the regional provincial administrative district codes of the enterprises are interacted with the carbon emission monitoring platform data by the carbon emission acquisition device, so that the regional power grid carbon emission factors corresponding to the provincial administrative district codes are obtained.
The steps (a), (b) and (c) are all pre-stages, and may be performed sequentially or simultaneously without limiting the order of steps.
(IV): and taking the delta T as a time period, combining the acquired energy consumption activity data of the delta T with carbon emission accounting boundary model information and power grid carbon emission factors of the areas where enterprises belong to, and accounting the enterprise carbon emission quantity of the delta T.
That is, the Δt is taken as a time period, the energy consumption activity data is classified and summarized, and the carbon emission accounting boundary model information corresponding to the same type of energy activity data is determined according to the result of the classified and summarized. And then, carrying out edge calculation of the carbon emission acquisition device based on the carbon emission accounting boundary model information and the same type of energy consumption activity data to obtain the carbon emission of the enterprise.
The value of Δt can be adjusted according to practical needs, for example, 15min, 1day, 1week, 1 montath, etc.
In this embodiment 1, 15min is taken as an example, that is, 15min is taken as a period. In this embodiment 1, the carbon emission collection device will substitute the determined regional power grid carbon emission factor into the greenhouse gas emission basic equation shown in formula (1) to calculate the greenhouse gas carbon emission (abbreviated as GHG).
The formula (1) is: ghg=adi× EFi. Wherein i is a positive integer greater than or equal to 1, representing different types of supply energy.
In this example 1, i=1, representing the distributed photovoltaic power generation amount; i=2, representing the amount of energy storage device charge loss; i=3, representing the amount of discharge loss of the energy storage device; i=4, representing the power on line; i=5, representing the amount of power down.
ADi represents energy consumption activity data in distributed photovoltaic power generation capacity, energy storage device charging (discharging) power consumption, on-line power and off-line power every 15 minutes. ADi is summarized as composition E0 (total every 15 minutes).
EFi the greenhouse gas emission coefficient per unit of production or consumption activity for ADi. With reference to the above, EFi is the latest emission factor included in the regional power grid carbon emission factor feedback data packet. And EF1 is a distributed photovoltaic power generation carbon emission factor obtained by calculating regional representative measurement data. EF2 is the energy storage charging conversion consumption carbon emission factor obtained by calculating regional representative measurement data. EF3 is energy storage discharge conversion consumption carbon emission factor obtained by calculating regional representative measurement data. EF4 is the online carbon emission counteracting factor calculated by regional representative measurement data. EF5 is a parameter for issuing carbon emission of the power of the off-grid electricity for the administrative department of the national government, and the parameter is not limited.
Specifically, when accounting the carbon emission, the carbon emission collection device may correspond to a plurality of energy metering devices, receive different types of energy consumption activity data uploaded by each energy metering device, and perform classification marking and summarization on the energy consumption activity data according to the energy types, for example, mark the energy consumption activity data of the ith supply energy in the jth energy metering device as adi.j. The carbon emission collection device collects ADi and ADi= ΣADi.j according to the energy consumption activity data in all the energy metering devices of the ith energy supply. And calculating ADi and a corresponding emission factor EFi, sequentially or synchronously calculating the carbon emission of the photovoltaic power generation, the energy storage, charging, conversion and consumption carbon, the energy storage, discharging, conversion and consumption carbon, the on-grid electric quantity counteraction carbon emission and the off-grid electric quantity carbon emission, and then counting the carbon emission of all the energy metering devices connected with the carbon emission collection device.
(fifth): and deducing a dynamic carbon emission factor according to the enterprise carbon emission of delta T and combining the collected energy consumption activity data of delta T.
In this example 1, the carbon emission collection device calculates the total amount of greenhouse gas carbon emissions (may be abbreviated as A0) per 15 minutes for the enterprise by summarizing the calculated carbon emissions from the determined different types of energy consumption activity data.
Wherein a0= Σbi. Bi is the carbon emission calculated according to the ADi kernel, specifically, the calculation is performed one by one according to the carbon emission calculation boundary model information of the first step.
Thereafter, a dynamic carbon emission factor (abbreviated as EF 0) per 15 minutes is calculated according to the formula (2). The formula (2) is: EF0 = A0/E0.
Of course, if Δt takes 1day, the calculation is the daily dynamic carbon emission factor. If Δt takes 1week, the dynamic carbon emission factor per week is calculated as described above. If Δt takes 1 mole, the above calculation is a monthly dynamic carbon emission factor. And so on. However, in general, taking 1day or 1week can satisfy the real-time property of the result.
Example 2
Referring to fig. 4, a schematic structural diagram of a carbon emission collection device of a multi-energy complementary enterprise is disclosed in embodiment 2. The carbon emission collection device is used for executing the method for determining the dynamic carbon emission factors of the multi-energy complementary enterprises in the embodiment 1, and has corresponding beneficial effects.
As shown in fig. 4, the carbon emission collection device (i.e., the edge collection device 1) is in communication connection with the carbon metering monitoring platform 3 and the energy metering equipment 2. The carbon metering monitoring platform 3 is used for transmitting the carbon emission factors of the power grid of the region where the enterprise belongs to the edge collecting device 1. The energy metering device 2 is used for metering energy consumption activity data.
For the edge acquisition device 1, it mainly comprises: an upstream communication module 102, an edge calculation module 103, a data storage module 104, and a local communication module 105.
The local communication module 105 is used to acquire and transfer energy consumption activity data of the energy metering device 2. The edge calculation module 103 is configured to obtain a carbon emission factor of a power grid in a region where the enterprise belongs, and perform coupling calculation according to the energy consumption activity data by combining the carbon emission factor of the power grid in the region where the enterprise belongs to obtain a dynamic carbon emission factor. The data storage module 104 is configured to classify and summarize the energy consumption activity data, and store the energy consumption activity data, the power grid carbon emission factor of the region where the enterprise belongs, and the related calculation result according to the carbon emission accounting boundary model information. The uplink communication module 102 is configured to receive a data packet including a power grid carbon emission factor of a region where an enterprise belongs from the carbon measurement monitoring platform 4, and send the data packet to the data storage module 104, so that the edge calculation module 103 determines enterprise carbon emission data according to the energy consumption activity data and the power grid carbon emission factor of the region where the enterprise belongs, and uploads the data to the carbon measurement monitoring platform 3, and further uploads the calculated dynamic carbon emission factor to the carbon measurement monitoring platform 3.
It should be noted that the carbon emission accounting boundary model information may be preset in the data storage module 104 or may be stored in the constructed carbon emission accounting model module 101. This embodiment 2 adopts the latter, and the carbon emission accounting boundary model module 101 transmits the carbon emission accounting model information to the edge calculation module 103. The parameter setting module 100 may also be provided. The parameter setting module 100 is connected to the edge calculation module 103 through the carbon emission accounting model module 101, and the parameter setting module 100 is configured to configure carbon emission accounting boundary model information in the carbon emission accounting model module 101.
In addition, a communication protocol conversion module is also provided between the local communication module 105 and the data storage module 104. The communication protocol conversion module is configured to receive the energy consumption activity data uploaded by the local communication module 105, perform communication protocol type conversion on the energy consumption activity data based on a preset protocol format, and send the energy consumption activity data in the preset protocol format to the data storage module 104. A data encryption module is also provided between the upstream communication module 102 and the edge calculation module 103. The data encryption module is used for respectively carrying out data encryption processing on the energy consumption activity data and the enterprise carbon emission, and transmitting the obtained encrypted activity data and encrypted emission data to the uplink communication module 102.
The local communication module 105 provides various types of electrical I/O interfaces, including but not limited to: carrier interface, WISUN interface, loRa interface, 485 interface.
The uplink communication module 102 is in communication connection with the carbon emission monitoring platform 3 through an Ethernet data interface/4G communication interface, on one hand, the uplink communication module 102 packages and forwards the delta T carbon emission and dynamic carbon emission factor data calculated by the edge calculation module 103 according to the data format required by the platform; on the other hand, the uplink communication module 102 also transmits the Δt energy consumption activity data obtained by the data storage module 104 to the carbon emission monitoring platform, and provides real-time status data of the energy metering device 2 to realize load monitoring.
Taking Δt for 15min as an example: specifically, in accounting for carbon emissions, the local communication module 105 receives 15 minute energy consumption activity data uploaded by the different energy metering devices 2 and transmits the received 15 minute energy consumption activity data to the data storage module 104. The edge calculation module 103 reads the data of the data storage module 104, and sorts, marks and summarizes the energy consumption activity data according to the energy type, for example, marks the energy consumption activity data of the ith supply energy source in the jth energy metering device as adi.j. The carbon emission collection device collects ADi, adi= Σadi.j according to the energy consumption activity data in all the energy metering devices of the ith energy supply, and calculates the carbon emission of all the energy metering devices connected to the edge collection device 1 with the corresponding emission factor EFi. The edge calculation module 103 transmits the calculated carbon emissions to the data storage module 104, and the edge calculation module 103 sums up the total 15 minute carbon emissions A0 and calculates a 15 minute dynamic carbon emission factor EF0 in combination with the 15 minute total energy consumption activity data E0.
In addition, after obtaining the carbon emission amount A0 and the dynamic carbon emission factor EF0 for 15 minutes, the uplink communication module 102 also packages and forwards the carbon emission data A0 periodically every 15 minutes, and realizes the carbon emission amount curve display of the carbon emission monitoring platform 3 on the multifunctional complementary enterprises by forwarding the periodic data every 15 minutes, so as to monitor the dynamic carbon emission of the enterprises in real time.
Therefore, the invention completes the real-time calculation of the carbon emission data of the multi-energy complementary enterprises through the edge acquisition device 1, solves the problem that the carbon emission factors of the power grid in the development of the distributed energy sources in each region cannot accurately reflect the objective condition of the renewable energy power development of the enterprises in each region in real time, promotes the fusion development of the electric carbon market, influences the electricity utilization behavior of the enterprises and the transaction behavior of the enterprises in the electric power market and the carbon market, and drives the enterprises to flexibly select the production mode with the advantage of clean energy.
When the method of embodiment 1 is applied, the application may be performed in the form of software, such as a program designed to be independently executable on a computer-readable storage medium, which may be a usb disk, designed as a U-shield, through which the program of the entire method is designed to be started by external triggering.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (10)
1. The method for determining the dynamic carbon emission factor of the multi-energy complementary enterprise is applied to a carbon emission acquisition device, and the carbon emission acquisition device is used for acquiring carbon emission related data of the enterprise,
the method for determining the dynamic carbon emission factor of the multi-energy complementary enterprise comprises the following steps:
acquiring carbon emission accounting boundary model information of the carbon emission acquisition device;
acquiring energy consumption activity data metered by energy metering equipment connected to the carbon emission collection device;
acquiring a power grid carbon emission factor of a region where an enterprise accessing the carbon emission acquisition device belongs;
taking delta T as a time period, combining the acquired energy consumption activity data of delta T with carbon emission accounting boundary model information and power grid carbon emission factors of the areas where enterprises belong to, and accounting the enterprise carbon emission amount of delta T;
and deducing a dynamic carbon emission factor according to the enterprise carbon emission of delta T and combining the collected energy consumption activity data of delta T.
2. The method for determining the dynamic carbon emission factor of the multi-energy complementary enterprise according to claim 1, wherein the carbon emission accounting boundary model information comprises carbon emission amount of each degree of electric conversion of the distributed photovoltaic, carbon emission amount of energy storage and charge amount conversion efficiency consumption conversion, carbon emission amount of energy storage and discharge amount conversion efficiency consumption conversion, carbon emission amount of on-line electric quantity deduction and carbon emission amount of off-line electric quantity conversion.
3. The method for determining the dynamic carbon emission factor of the multi-energy complementary enterprise according to claim 1, wherein the energy consumption activity data comprises distributed photovoltaic power generation, energy storage and charge quantity, energy storage and discharge quantity, internet power quantity and internet power quantity.
4. The method for determining the dynamic carbon emission factor of the multi-energy complementary enterprise according to claim 1, wherein the power grid carbon emission factor of the region to which the enterprise belongs is a regional power grid carbon emission factor issued by the administrative provincial region to which the enterprise belongs.
5. The method for determining the dynamic carbon emission factor of the multi-energy complementary enterprise according to claim 1, wherein the calculating the enterprise carbon emission amount of the Δt by combining the collected energy consumption activity data of the Δt with the carbon emission calculation boundary model information and the grid carbon emission factor of the region where the enterprise belongs with the Δt as a time period comprises:
classifying and summarizing the energy consumption activity data, and determining carbon emission accounting boundary model information corresponding to the same type of energy activity data according to a classified summarizing result;
and calculating the edge of the carbon emission acquisition device based on the carbon emission accounting boundary model information and the same type of energy consumption activity data to obtain the carbon emission of the enterprise.
6. A carbon emission collection device for a multi-energy complementary enterprise, characterized in that the multi-energy complementary enterprise dynamic carbon emission factor determination method according to any one of claims 1-5 is used;
the carbon emission collection device is in communication connection with the carbon metering monitoring platform and the energy metering equipment; the carbon metering monitoring platform is used for transmitting the carbon emission factors of the power grid of the region where the enterprise belongs to the carbon emission collection device; the energy metering device is used for metering energy consumption activity data;
the carbon emission collection device includes:
the local communication module is used for acquiring and transmitting the energy consumption activity data metered by the energy metering equipment;
the edge calculation module is used for acquiring the power grid carbon emission factor of the region where the enterprise belongs and carrying out coupling calculation according to the energy consumption activity data by combining the power grid carbon emission factor of the region where the enterprise belongs to obtain a dynamic carbon emission factor;
the data storage module is used for classifying and summarizing the energy consumption activity data and storing the energy consumption activity data, the power grid carbon emission factors of the region where the enterprise belongs and related calculation results according to the carbon emission accounting boundary model information;
and the uplink communication module is used for receiving a data packet containing the power grid carbon emission factor of the region where the enterprise belongs and issued by the carbon metering monitoring platform, and sending the data packet to the data storage module, so that the edge calculation module determines the enterprise carbon emission data according to the energy consumption activity data and the power grid carbon emission factor of the region where the enterprise belongs, uploads the data to the carbon metering monitoring platform, and uploads the calculated dynamic carbon emission factor to the carbon metering monitoring platform.
7. The carbon emission collection device of a multi-energy complementary business of claim 6, further comprising a communication protocol conversion module;
the communication protocol conversion module is arranged between the local communication module and the data storage module;
the communication protocol conversion module is used for receiving the energy consumption activity data uploaded by the local communication module, carrying out communication protocol type conversion on the energy consumption activity data based on a preset protocol format, and sending the energy consumption activity data in the preset protocol format to the data storage module.
8. The carbon emissions collection device of a multi-energy complementary business of claim 6, further comprising a data encryption module; the data encryption module is arranged between the uplink communication module and the edge calculation module;
the data encryption module is used for respectively carrying out data encryption processing on the energy consumption activity data and the enterprise carbon emission, and transmitting the obtained encrypted activity data and encrypted emission data to the uplink communication module.
9. The carbon emission collection device of a multi-energy complementary business according to claim 6, further comprising a parameter setting module, a carbon emission accounting model module; the parameter setting module is connected with the edge calculation module through a carbon emission accounting model module; the carbon emission accounting model module is used for storing carbon emission accounting boundary model information; the parameter setting module is used for configuring the carbon emission accounting boundary model information in the carbon emission accounting model module.
10. The carbon emissions collection device of a multi-energy complementary business of claim 6, wherein the carbon emissions collection device uploads a code of an administrative provincial attribute to which the business belongs to the carbon metering monitoring platform;
the carbon metering monitoring platform compares the codes of the administrative provincial areas of the enterprises with a preset power grid carbon emission factor database of each area, and determines the power grid carbon emission factors of the areas of the enterprises according to the comparison result;
and the carbon metering monitoring platform transmits a comparison result of the carbon emission factors of the power grid of the area where the enterprise belongs to the carbon emission collection device.
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| CN117057659B (en) * | 2023-08-25 | 2024-05-24 | 国网湖北省电力有限公司电力科学研究院 | Regional power grid electricity-carbon joint risk assessment method |
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