Multi-energy coupling link carbon flow calculation method and device considering energy storage equipment

By refining the carbon emission accounting method, considering the carbon flow calculation of the multi-energy coupling link of energy storage equipment, the shortcomings of carbon emission calculation under the energy coupling state in the existing technology are solved, and the precise measurement of carbon emission distribution in industrial production is achieved and Visualization improves the accuracy of carbon flow traceability.

CN119294644APending Publication Date: 2025-01-10TSINGHUA UNIVERSITY +1
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Patent Information

Application Number
CN202411159437.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-22
Publication Date
2025-01-10

AI Technical Summary

Technical Problem

The existing carbon emission calculation methods cannot perform accurate carbon emission calculations under various forms of energy coupling states, and it is difficult to track the carbon emission distribution of various links within the accounting object, and the calculation results are insufficiently accurate.

Method used

A method for calculating carbon flow in multi-energy coupling links of energy storage equipment is proposed. By obtaining the energy flow distribution state, the carbon flow rate on the energy transfer path is calculated, and the accumulated carbon emissions are calculated based on the state integral of the energy storage equipment, and the accumulated carbon emissions are calculated and refined. Carbon emission accounting.

Benefits of technology

It has achieved accurate measurement and visualization of carbon emission distribution in the multi-energy coupling link in the industrial production process, improved the accuracy of carbon flow traceability, clarified the carbon responsibilities of each energy consumption link, and promoted the low-carbon development of the energy system.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a multi-energy coupling link carbon flow calculation method and device considering energy storage equipment, and belongs to the technical field of carbon flow calculation. The method comprises the following steps: acquiring an energy flow distribution state of a multi-energy coupling link at the starting moment of each carbon flow calculation period; taking the energy conversion equipment of each energy transfer path as current energy conversion equipment in sequence, and calculating an input carbon flow rate of each input port and an output carbon flow rate of each output port of the current energy conversion equipment based on an energy flow model; and based on the output carbon flow rate of each output port of the energy conversion equipment at the tail end of each energy transfer path, calculating the energy consumption carbon flow rate of the energy consumption equipment in output connection with the path or the energy storage equipment in an energy storage state. According to the method, the carbon emission distribution conditions in various multi-energy coupling links in the industrial production process can be accurately analyzed, and the overall carbon emission accounting of the accounting object is refined to each energy consumption link in the interior.
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Description

Technical Field

[0001] The present invention belongs to the technical field of carbon flow calculation, and in particular relates to a carbon flow calculation method and device considering multiple energy coupling links of energy storage equipment. Background Art

[0002] The rapid growth of industrial production scale and market demand has not only increased greenhouse gas emissions in the supply chain, but also exacerbated challenges such as energy security and air pollution. In the context of the dual-carbon strategy, the green and low-carbon transformation of energy and the construction of a green and low-carbon supply chain are crucial to reducing greenhouse gas emissions. Among them, the low-carbon and green transformation of the industrial production industry is the core of promoting the construction of a green supply chain. Obviously, the industrial production process consumes a huge amount of resources in the green supply chain system. Therefore, achieving carbon neutrality in this link is a key element in the development of a green supply chain, and its carbon target will bear the heavy responsibility of green transformation and sustainable development of industrial development. In the process of achieving zero carbon, the accurate measurement and accounting of carbon emissions from industrial production as a whole is the primary goal of implementing low-carbon development plans and systems. However, the industrial production process consumes a lot of energy, the energy forms are complex and diverse, and the various energy flows are coupled and affected by each other, which brings new challenges to the carbon flow measurement problem in the production process; handling the corresponding relationship between carbon emissions of various energy sources greatly affects the coordinated interaction between multiple energy sources in the industrial production link. Carbon flow analysis and calculation can be used to further distinguish and understand the carbon emission characteristics of various energy sources, thereby adjusting the energy system covered in the industrial production process, optimizing the operation and distribution methods of various energy sources, and providing a powerful tool for reducing overall carbon emissions.

[0003] In order to solve the problem of carbon flow calculation in the multi-energy coupling link of the production process, studying the corresponding relationship between carbon emissions of multiple inputs and outputs becomes the key to solving the problem, which constitutes the main research content of carbon flow calculation in the multi-energy coupling link. The existing carbon emission calculation method mainly uses the energy consumption of the accounting object (such as industrial parks, factories, etc.) and the average carbon emission factor announced by relevant national ministries and commissions to calculate the overall carbon emissions. It does not consider the additional carbon emission flow accompanying the material flow and energy flow within the accounting object, and it is difficult to further obtain accurate information on the distribution of carbon emissions; and the existing method is limited to the carbon emission accounting caused by electricity consumption, and it is impossible to calculate carbon emissions under various forms of energy coupling. Therefore, the existing technology is simple and extensive, the spatial granularity is low, the calculation results are not accurate enough, and it is impossible to accurately reflect the specific distribution of carbon emissions in each link within the accounting object. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and propose a carbon flow calculation method and device that takes into account the multi-energy coupling link of energy storage equipment. The present invention can accurately analyze the carbon emission distribution inside various multi-energy coupling links in the industrial production process, refine the overall carbon emission accounting of the accounting object to each internal energy consumption link, and realize the refinement and visualization of the carbon emission accounting of the multi-energy coupling link.

[0005] The first embodiment of the present invention proposes a carbon flow calculation method considering multiple energy coupling links of energy storage equipment, including:

[0006] At the beginning of each carbon flow calculation cycle, the energy flow distribution state of the multi-energy coupling link composed of multiple energy conversion devices is obtained, including: the incoming power of each input port of each energy conversion device and the outgoing power of each output port;

[0007] Based on the incoming power of each input port and the outgoing power of each output port, the energy conversion devices of each energy transfer path in the multi-energy coupling link are sequentially used as current energy conversion devices, and based on a preset energy flow model of the energy conversion device, the input carbon flow rate of each input port and the output carbon flow rate of each output port of the current energy conversion device are calculated;

[0008] Based on the output carbon flow rate of each output port of the energy conversion device at the end of each energy transfer path, the energy consumption carbon flow rate of the energy-consuming device connected to the path output or the energy storage device in the energy storage state is calculated.

[0009] In a specific embodiment of the present invention, the energy flow model of the energy conversion device includes:

[0010] P out =CP in (1)

[0011] Among them, P in is the incoming power of any energy conversion device, P in =[P in,1 P in ,2 ... P in,M ], P in,j is the incoming power of the j-th input port of the energy conversion device, j=1, 2, ..., M, M represents the number of input ports of the energy conversion device;

[0012] P out is the output power of the energy conversion device, P out =[P out,1 P out,2 ... P out,N ], P out,irepresents the outgoing power of the i-th output port of the energy conversion device, i=1,2,…,N, N represents the number of output ports of the energy conversion device; C is the conversion coefficient matrix of the energy conversion device, with a size of N×M, c ij is the element in the i-th row and j-th column of the matrix, indicating the ratio of the power from the j-th input port to the i-th output port of the energy conversion device to the incoming power of the j-th input port.

[0013] In a specific embodiment of the present invention, the method further comprises:

[0014] At the beginning of each carbon flow calculation cycle, the carbon emission factor corresponding to each input port of the energy conversion device at the head end of each energy transfer path in the multi-energy coupling link is obtained;

[0015] If any energy storage device connected to the multi-energy coupling link is in the energy release state at this moment, the energy storage Q0 and the cumulative carbon emissions F0 of the energy storage element at this moment are obtained; at the beginning of the first carbon flow calculation cycle, the cumulative carbon emissions F0 of each energy storage element are calculated as follows:

[0016] F0=Q0×ρ avg (2)

[0017] In the formula, ρ avg Indicates the average electric carbon factor of the area where the energy storage device is located;

[0018] The energy storage element in the energy release state is equivalent to an energy source and placed at the beginning of the energy transfer path where the energy storage device is located; wherein the carbon emission factor of the j-th energy storage device in the energy release state is ρ eq,j :

[0019]

[0020] Among them, F 0,j represents the current cumulative carbon emissions of the jth energy storage device in the energy discharging state, Q 0,j Indicates the current storage energy of the jth energy storage device in the energy discharging state.

[0021] In a specific embodiment of the present invention, the input carbon flow rate calculation expression of each input port is as follows:

[0022]

[0023] If the input port of the current energy conversion device is connected to an energy storage element in a discharging state, then ρ in,j Including the carbon emission factor ρ of the corresponding energy storage element eq ;

[0024] R in,jis the input carbon flow rate of the jth input port of the current energy conversion device; ρ in,j is the carbon emission factor of the jth input port; ρ j is the overall carbon emission factor of the jth input port; where:

[0025]

[0026] in, Represents the conversion coefficient of the jth input port. When it is greater than 1, it indicates that the carbon emission intensity of the current energy conversion equipment has increased. When it is less than 1, it indicates that the carbon emission intensity of the current energy conversion equipment has decreased.

[0027] In a specific embodiment of the present invention, the calculation expression of the output carbon flow rate of each output port is as follows:

[0028]

[0029] in, Represents the conversion coefficient of the carbon flow rate of the j-th input port to the carbon flow rate of the ith output port of the energy conversion device.

[0030] In a specific embodiment of the present invention, the method comprises:

[0031] If any current energy conversion device is not the terminal device of the energy transfer path where it is located, the output carbon flow rate of each output port of the current energy conversion device will be used as the input carbon flow rate of each input port of the next energy conversion device on the path.

[0032] In a specific embodiment of the present invention, the method further comprises:

[0033] If the device connected to the output at the end of any energy transfer path of the multi-energy coupling link is an energy-consuming device, then the energy-consuming carbon flow rate of the energy-consuming device is equal to the output carbon flow rate R of the output port of the energy conversion device connected to it at the end of the energy transfer path. out,i ;

[0034] If the device connected to the output of any energy transfer path at the end of the multi-energy coupling link is an energy storage device, and the energy storage device is in a charging state, the energy storage device should be equivalent to an energy-consuming device and its energy-consuming carbon flow rate should be calculated. Then, the charging power and carbon flow rate should be integrated according to the charging time to calculate the storage energy Q and cumulative carbon emissions F of the energy storage device:

[0035]

[0036]

[0037] Among them, P cd(t) is the real-time charging power of the energy storage device in the calculation cycle; R cd (t) is the real-time carbon flow rate of the energy storage device in the calculation cycle, which is equal to the output carbon flow rate R of the energy conversion device connected in the multi-energy coupling link. out,i ; T0 is the timing starting point of the calculation cycle, T is the current time; η is the energy storage efficiency of the energy storage element;

[0038] If the device connected to the output at the end of any energy transfer path in the multi-energy coupling link is an energy storage device, and the energy storage device is in an energy release state, the storage energy Q and cumulative carbon emissions F of the energy storage device are calculated:

[0039]

[0040]

[0041] Among them, P fd (t) is the real-time energy discharge power of the energy storage device in the calculation cycle;

[0042] Then, the Q and F of each energy storage device calculated in the current cycle are used as the start time Q0 and F0 of the next calculation cycle respectively.

[0043] The second embodiment of the present invention provides a carbon flow calculation device considering multiple energy coupling links of energy storage equipment, including:

[0044] The energy flow distribution state acquisition module is used to obtain the energy flow distribution state of the multi-energy coupling link composed of multiple energy conversion devices at the beginning of each carbon flow calculation cycle, including: the incoming power of each input port of each energy conversion device and the outgoing power of each output port;

[0045] A first carbon flow rate calculation module is used to sequentially use the energy conversion devices of each energy transfer path in the multi-energy coupling link as current energy conversion devices based on the incoming power of each input port and the outgoing power of each output port, and calculate the input carbon flow rate of each input port and the output carbon flow rate of each output port of the current energy conversion device based on a preset energy flow model of the energy conversion device;

[0046] The second carbon flow rate calculation module is used to calculate the energy carbon flow rate of the energy-consuming device connected to the path output or the energy storage device in the energy storage state based on the output carbon flow rate of each output port of the energy conversion device at the end of each energy transfer path.

[0047] A third aspect of the present invention provides an electronic device, including:

[0048] at least one processor; and a memory communicatively coupled to the at least one processor;

[0049] The memory stores instructions executable by the at least one processor, and the instructions are configured to execute the above-mentioned carbon flow calculation method considering multiple energy coupling links of energy storage equipment.

[0050] A fourth aspect of the present invention provides a computer-readable storage medium storing computer instructions for causing the computer to execute the above-mentioned carbon flow calculation method considering multiple energy coupling links of an energy storage device.

[0051] The characteristics and beneficial effects of the present invention are:

[0052] The present invention solves the problem that traditional methods are difficult to track specific carbon emissions under various forms of energy coupling states within the accounting object, and realizes the accurate measurement of carbon emission distribution in the multi-energy coupling links involved in the industrial production process. The present invention uses the energy distribution of the multi-energy coupling links within the accounting object, the energy input state (including the working state of the energy storage device) and the conversion coefficient matrix of each energy conversion device to construct the carbon flow distribution matrix of each device; calculate the carbon emission flow distribution of each device according to the carbon flow distribution matrix of each device; calculate the carbon emission flow distribution of the multi-energy coupling link of the entire accounting object according to the carbon emission flow distribution of each device. The present invention can be applied to various industrial parks, factories and enterprises or industrial production scenarios with various forms of energy flow, calculate the coupled carbon emission flow accompanying the energy flow; truly improve the accuracy of carbon flow traceability tracking in the multi-energy coupling link, realize multi-angle and all-round tracking of carbon emissions, clarify the carbon responsibility of each energy-consuming link, and make carbon emissions traceable. The present invention has the advantages of promoting the integration and interconnection between various energy flows, improving the accuracy of carbon flow analysis and calculation under various forms of energy coupling states in the industrial production process, and promoting the low-carbon development of the energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is an overall flow chart of a carbon flow calculation method considering multiple energy coupling links of an energy storage device according to an embodiment of the present invention.

[0054] Figure 2 It is a schematic diagram of energy flow and carbon flow distribution in a multi-energy coupling link at the beginning of a calculation cycle of a carbon flow calculation method for multi-energy coupling links of an energy storage device described in a specific embodiment of the present invention.

[0055] Figure 3 It is a schematic diagram of energy flow and carbon flow distribution in a multi-energy coupling link after the operating state of an energy storage device changes according to a carbon flow calculation method for a multi-energy coupling link of an energy storage device described in a specific embodiment of the present invention. Specific embodiments

[0056] The present invention proposes a carbon flow calculation method and device considering multiple energy coupling links of energy storage equipment, which is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0057] The first embodiment of the present invention proposes a carbon flow calculation method considering multiple energy coupling links of energy storage equipment, including:

[0058] At the beginning of each carbon flow calculation cycle, the energy flow distribution state of the multi-energy coupling link composed of multiple energy conversion devices is obtained, including: the incoming power of each input port of each energy conversion device and the outgoing power of each output port;

[0059] Based on the incoming power of each input port and the outgoing power of each output port, the energy conversion devices of each energy transfer path in the multi-energy coupling link are sequentially used as current energy conversion devices, and based on a preset energy flow model of the energy conversion device, the input carbon flow rate of each input port and the output carbon flow rate of each output port of the current energy conversion device are calculated;

[0060] Based on the output carbon flow rate of each output port of the energy conversion device at the end of each energy transfer path, the energy consumption carbon flow rate of the energy-consuming device connected to the path output or the energy storage device in the energy storage state is calculated.

[0061] In a specific embodiment of the present invention, the multi-energy coupling link refers to an energy hub including a variety of energy conversion equipment in the industrial production process, and its model is a two-port network covering various forms of energy input and output, which contains various energy transfer paths of the multi-energy coupling link. In this embodiment, the energy conversion equipment can realize the conversion and coupling between different energy forms, such as fuel cells, electric motors, steam and gas turbines, internal combustion engines, electrolyzers, etc. The output end of the multi-energy coupling link may be connected to a number of energy storage devices, and the energy storage device refers to a device that can store and release energy, such as a battery, a pumped storage power station, etc. When the energy storage device is in a discharging state, it can supplement the shortage of source energy delivery to meet the load energy demand; when the energy storage device is in a charging state, it can absorb excessive source energy (mainly renewable wind and solar energy) to improve the renewable energy absorption capacity.

[0062] In a specific embodiment of the present invention, the carbon flow calculation method considering the multi-energy coupling link of the energy storage device is as follows: Figure 1 As shown, the following steps are included:

[0063] 1) Establish the energy flow model of energy conversion equipment in the multi-energy coupling link, the expression is as follows:

[0064] P out =CP in (1)

[0065] Among them, P in is the incoming power of any energy conversion device, P in =[P in,1 P in,2 ... P in,M ], P in,j is the incoming power of the jth input port of the energy conversion device, j=1, 2, ..., M, M represents the number of input ports of the energy conversion device, and the input port can obtain any form of energy including electricity, heat, cold, gas, hydrogen, etc.

[0066] P out is the output power of the energy conversion device, P out =[P out,1 P out,2 ... P out,N ], P out,i It represents the outgoing power of the i-th output port of the energy conversion device, i=1,2,…,N, N represents the number of output ports of the energy conversion device, and the input port can output any form of energy including electricity, heat, cold, gas, hydrogen, etc.

[0067] C is the conversion coefficient matrix of the energy conversion device, with a size of N×M, c ij is the element in the i-th row and j-th column of the matrix, indicating the ratio of the power from the j-th input port to the i-th output port of the energy conversion device to the power of the j-th input port. in With P out The dimensions can be inconsistent.

[0068] 2) At the beginning of each carbon flow calculation cycle, the energy flow distribution state of the multi-energy coupling link is obtained, including: the incoming power of each input port of each energy conversion device and the outgoing power of each output port.

[0069] Obtain the carbon emission factor corresponding to each input port of the energy conversion device at the head end of each energy transfer path in the multi-energy coupling link. In this embodiment, the carbon emission factor, that is, the carbon emission factor, can refer to the carbon emission factor data list published by the national or provincial Ministry of Ecology and Environment, and the data in the greenhouse gas emission accounting guidelines for 25 industries published by the National Development and Reform Commission.

[0070] Furthermore, if any energy storage device connected to the multi-energy coupling link is in an energy release state at the current moment, it is also necessary to obtain the energy storage Q0 and cumulative carbon emissions F0 of the energy storage element at that moment; wherein, at the beginning of the first carbon flow calculation cycle, the cumulative carbon emissions F0 of each energy storage element can be converted and calculated according to the energy storage in the energy storage element and the electric carbon factor value of the area where the energy storage device is located, which can be expressed as:

[0071] F0=Q0×ρ avg (2)

[0072] In the formula, ρ avg It represents the average electricity carbon factor of the area where the energy storage device is located. In this embodiment, the "2021 Electricity Carbon Dioxide Emission Factor" of the Ministry of Ecology and Environment can be referred to.

[0073] The energy storage element in the energy release state is equivalent to an energy source and placed at the beginning of the energy transfer path where the energy storage device is located. The carbon emission factor of the energy storage device is obtained, where the carbon emission factor of the energy storage device in the energy release state is ρ eq,j :

[0074]

[0075] Among them, F 0,j represents the current cumulative carbon emissions of the jth energy storage device in the energy discharging state, Q 0,j represents the current storage capacity of the jth energy storage device in the energy discharging state, and the two are respectively the cumulative carbon emissions and storage capacity of the energy storage device at the end of the previous cycle.

[0076] In this embodiment, when the jth energy storage device is in the energy discharging state, its carbon emission factor ρ eq,j The carbon emission factor of the input port of the energy conversion device at the head end of the energy transfer path where the device is located in the multi-energy coupling link will be involved in the carbon flow calculation of this cycle.

[0077] 3) The energy conversion device at the beginning of each energy transfer path in the multi-energy coupling link is used as the current energy conversion device.

[0078] 4) Based on the energy flow model established in step 1), the input carbon flow rate of each input port of the current energy conversion device on each energy transfer path is calculated, and the expression is as follows:

[0079]

[0080] If the input port of the current energy conversion device is connected to an energy storage element in a discharging state, then ρ in,j Including the carbon emission factor ρ of the corresponding energy storage element eq .

[0081] R in,j is the input carbon flow rate of the jth input port of the current energy conversion device; P in,j is the incoming power of the jth input port; ρ in,j is the carbon emission factor of the jth input port; ρ j is the overall carbon emission factor of the jth input port.

[0082]

[0083] in, Represents the conversion coefficient of the jth input port. When it is greater than 1, it indicates that the carbon emission intensity of the current energy conversion equipment has increased. When it is less than 1, it indicates that the carbon emission intensity of the current energy conversion equipment has decreased.

[0084] 5) Calculate the output carbon flow rate of each output port of the current energy conversion device.

[0085] Among them, the calculation expression of the output carbon flow rate of the i-th output port of any current energy conversion device is as follows:

[0086]

[0087] in, Represents the conversion coefficient of the carbon flow rate of the j-th input port to the carbon flow rate of the ith output port of the energy conversion device.

[0088] All c′ ij The carbon flow distribution matrix C′ that constitutes the current energy conversion device.

[0089] 6) Determine the current energy conversion equipment:

[0090] If all current energy conversion devices are terminal devices of their energy transfer paths, proceed to step 7);

[0091] If any current energy conversion device is not the terminal device of the energy transfer path where it is located, the output carbon flow rate of each output port of the current energy conversion device is used as the input carbon flow rate of each input port of the next energy conversion device on the path, and then the next energy conversion device is used as the new current energy conversion device on the path, and the process returns to step 4).

[0092] 7) Determine the devices connected to the output at the end of each energy transfer path in the multi-energy coupling link:

[0093] If the device connected to the output of any energy transfer path at the end of the multi-energy coupling link is a load or user device, the energy carbon flow rate of the load or user device is equal to the output carbon flow rate R of the output port of the connected terminal energy conversion device. out,i .

[0094] If the device connected to the output of any energy transfer path at the end of the multi-energy coupling link is an energy storage device, and the energy storage device is in a charging state, the energy storage device should be equivalent to a load or user device and its energy carbon flow rate should be calculated. Then, the charging power and carbon flow rate should be integrated according to the charging time to calculate the storage energy Q and cumulative carbon emissions F of the energy storage device:

[0095]

[0096]

[0097] Among them, P cd (t) is the real-time charging power of the energy storage device in the calculation cycle; R cd (t) is the real-time carbon flow rate of the energy storage device in the calculation cycle, which is equal to the output carbon flow rate R of the energy conversion device connected in the multi-energy coupling link. out,i T0 is the timing starting point of the calculation cycle, T is the current time; η is the energy storage efficiency of the energy storage element (this data is the operating parameter of the energy storage device).

[0098] If the device connected to the output at the end of any energy transfer path in the multi-energy coupling link is an energy storage device, and the energy storage device is in an energy release state, the storage energy Q and cumulative carbon emissions F of the energy storage device are calculated:

[0099]

[0100]

[0101] Among them, P fd (t) is the real-time energy discharge power of the energy storage device in this calculation cycle.

[0102] At the end of the current calculation cycle, the energy carbon flow rate and carbon flow of all loads / energy-consuming equipment, and the accumulated energy storage and carbon emissions of energy storage equipment are calculated.

[0103] 8) When the next carbon flow calculation cycle arrives, the Q and F of each energy storage device calculated in the previous cycle are used as Q0 and F0 of the new cycle respectively, and then return to step 2).

[0104] The method described in this embodiment is further described in detail below in conjunction with a specific embodiment.

[0105] The multi-energy coupling link in a specific embodiment of the present invention is an energy hub (EH) including a combined heat and power unit (CHP), an auxiliary boiler (AB), a compression refrigeration system (CERG) and an absorption refrigeration system (WARG). The specific parameters of each energy conversion device in the energy hub are shown in Table 1:

[0106] Table 1 Parameters of various energy conversion devices in an energy hub in a specific embodiment of the present invention

[0107]

[0108] In the table, superscripts W and Q represent electricity and heat, respectively; η Wrepresents the power generation efficiency of the cogeneration unit, η Q It represents the heat production efficiency of the cogeneration unit; η AB Indicates the heating efficiency of the auxiliary boiler; η CERG Indicates the refrigeration efficiency of the compression refrigeration system (including the conversion efficiency of input electrical energy and thermal energy); η WARG Indicates the refrigeration efficiency of the absorption refrigeration system.

[0109] At the same time, the node carbon emission factors of the nodes associated with the power network and the natural gas network are 0.647t / MW·h and 0.2t / MW·h respectively. The energy loads of various categories at the energy output end include electric load Heat load Cooling Load The initial working condition of the energy storage equipment is the charging state, and the charging time lasts for 8 hours, and then it is converted to the discharging state. The parameters of the energy storage equipment are shown in Table 2:

[0110] Table 2 Parameters of energy storage devices connected to an energy hub in a specific embodiment of the present invention

[0111]

[0112]

[0113] According to a carbon flow calculation method for a multi-energy coupling link of an energy storage device proposed in this embodiment, the energy flow distribution state of the multi-energy coupling link is first obtained. The energy flow and carbon flow distribution diagram of the multi-energy coupling link at the beginning of the calculation cycle in this embodiment is as follows: Figure 2 Indicated by the black arrow.

[0114] Then construct the total incoming power and outgoing power of the energy hub:

[0115] P in =[280 1035] T

[0116] P out =[220 240 100 160 260.6 124] T

[0117] The incoming power and outgoing power of each energy conversion device are:

[0118]

[0119]

[0120]

[0121]

[0122] And because the energy storage devices are all in a charging state during this calculation cycle, there is no need to calculate the equivalent carbon emission factor ρ of each energy storage device eq,j .

[0123] The conversion coefficient matrices of each energy conversion device are:

[0124] Combined Heat Plant (CHP):

[0125]

[0126] Auxiliary boiler (AB):

[0127] C AB =[0.75]

[0128] Compression Refrigeration System (CERG):

[0129] C CERG =[3 3]

[0130] Absorption Refrigeration System (WARG):

[0131] C WARG =[0.7 0.7]

[0132] The current energy conversion equipment is CHP and AB, and the input carbon flow rate of the two equipments is:

[0133]

[0134]

[0135] The carbon flow distribution matrix of each energy conversion device is calculated as:

[0136]

[0137]

[0138]

[0139]

[0140]

[0141] The carbon flow input and output of each energy conversion device are calculated as follows:

[0142]

[0143] R AB,out =C' AB ·R AB,in =127

[0144] Since the current energy conversion devices CHP and AB are not the terminal devices of the energy transfer path, the carbon flow rate outputs of the two devices are used as the carbon flow rate inputs of the back-end devices CERG and WARG according to the energy transfer path (according to the actual energy flow distribution, the carbon flow rate outputs of CHP and AB are not all connected to the inputs of CERG and WARG, and need to be converted according to the distribution ratio of the energy flow), and the carbon flow rate outputs of CERG and WARG are calculated:

[0145]

[0146]

[0147] The final calculated output carbon flow rate of each energy conversion device is:

[0148] R out =[142.34 44.15 26.67 42.67 99.26 33.07] (11)

[0149] The energy storage and carbon emission storage of the electric storage equipment, thermal storage equipment and cold storage equipment after charging are calculated respectively, as shown in Table 3:

[0150] Table 3 Energy storage and carbon emission storage of electric storage equipment, heat storage equipment and cold storage equipment after charging in a specific embodiment of the present invention

[0151]

[0152]

[0153] In this embodiment, after storing energy for 8 hours, the thermal energy storage device changes to an energy release state and supplies energy to WARG. At this time, the previous calculation cycle ends and the next calculation cycle begins. The thermal energy storage device will be located at the beginning of the energy transfer path. The equivalent carbon emission factor of the thermal energy storage device is calculated as:

[0154]

[0155] At this time, the energy input and output port powers of the multi-energy coupling link are:

[0156] P in =[280 20 1035] T

[0157] P out =[220 240 100 180 260.6 124] T

[0158] According to the carbon flow distribution matrix of each energy conversion device, the carbon flow input and output of each energy conversion device are calculated as follows:

[0159]

[0160] R AB,out =C' AB ·R AB,in =127

[0161]

[0162]

[0163] In this embodiment, the energy flow and carbon flow distribution diagram of the multi-energy coupling link after the operating state of the energy storage device changes. At this time, the specific energy flow state and carbon flow distribution are as follows: Figure 3 shown.

[0164] To implement the above embodiment, the second embodiment of the present invention proposes a carbon flow calculation device considering multiple energy coupling links of energy storage equipment, including:

[0165] The energy flow distribution state acquisition module is used to obtain the energy flow distribution state of the multi-energy coupling link composed of multiple energy conversion devices at the beginning of each carbon flow calculation cycle, including: the incoming power of each input port of each energy conversion device and the outgoing power of each output port;

[0166] A first carbon flow rate calculation module is used to sequentially use the energy conversion devices of each energy transfer path in the multi-energy coupling link as current energy conversion devices based on the incoming power of each input port and the outgoing power of each output port, and calculate the input carbon flow rate of each input port and the output carbon flow rate of each output port of the current energy conversion device based on a preset energy flow model of the energy conversion device;

[0167] The second carbon flow rate calculation module is used to calculate the energy carbon flow rate of the energy-consuming device connected to the path output or the energy storage device in the energy storage state based on the output carbon flow rate of each output port of the energy conversion device at the end of each energy transfer path.

[0168] It should be noted that the above explanation of the embodiment of a carbon flow calculation method for a multi-energy coupling link considering energy storage equipment is also applicable to a carbon flow calculation device for a multi-energy coupling link considering energy storage equipment in this embodiment, which will not be repeated here. According to a carbon flow calculation device for a multi-energy coupling link considering energy storage equipment proposed in an embodiment of the present invention, at the beginning of each carbon flow calculation cycle, the energy flow distribution state of a multi-energy coupling link composed of multiple energy conversion devices is obtained, including: the incoming power of each input port of each energy conversion device and the outgoing power of each output port; based on the incoming power of each input port and the outgoing power of each output port, the energy conversion devices of each energy transfer path in the multi-energy coupling link are sequentially used as the current energy conversion devices, and based on the preset energy flow model of the energy conversion device, the input carbon flow rate of each input port and the output carbon flow rate of each output port of the current energy conversion device are calculated; based on the output carbon flow rate of each output port of the energy conversion device at the end of each energy transfer path, the energy consumption carbon flow rate of the energy-consuming device connected to the output of the path or the energy storage device in the energy storage state is calculated. This enables accurate analysis of the carbon emission distribution within various multi-energy coupling links in the industrial production process, and refines the overall carbon emission accounting of the accounting object to each internal energy consumption link, thus achieving the refinement and visualization of carbon emission accounting in multi-energy coupling links.

[0169] To implement the above embodiment, a third aspect of the present invention provides an electronic device, including:

[0170] at least one processor; and a memory communicatively coupled to the at least one processor;

[0171] The memory stores instructions executable by the at least one processor, and the instructions are configured to execute the above-mentioned carbon flow calculation method considering multiple energy coupling links of energy storage equipment.

[0172] To implement the above-mentioned embodiment, the fourth aspect of the present invention proposes a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the above-mentioned carbon flow calculation method considering the multi-energy coupling links of the energy storage device.

[0173] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0174] The computer-readable medium may be included in the electronic device, or may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device executes a carbon flow calculation method considering multiple energy coupling links of an energy storage device according to the above embodiment.

[0175] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0176] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0177] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0178] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0179] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary, and then stored in a computer memory.

[0180] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0181] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0182] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0183] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A carbon flow calculation method considering multiple energy coupling links of energy storage equipment, characterized in that: include: At the beginning of each carbon flow calculation cycle, the energy flow distribution state of the multi-energy coupling link composed of multiple energy conversion devices is obtained, including: the incoming power of each input port of each energy conversion device and the outgoing power of each output port; Based on the incoming power of each input port and the outgoing power of each output port, the energy conversion devices of each energy transfer path in the multi-energy coupling link are sequentially used as current energy conversion devices, and based on a preset energy flow model of the energy conversion device, the input carbon flow rate of each input port and the output carbon flow rate of each output port of the current energy conversion device are calculated; Based on the output carbon flow rate of each output port of the energy conversion device at the end of each energy transfer path, the energy consumption carbon flow rate of the energy-consuming device connected to the path output or the energy storage device in the energy storage state is calculated.

2. The method according to claim 1, characterized in that: The energy flow model of the energy conversion device includes: P out =CP in (1) Among them, P in is the incoming power of any energy conversion device, P in =[P in,1 P in,2 ... P in,M ], P in,j is the incoming power of the j-th input port of the energy conversion device, j=1, 2, ..., M, M represents the number of input ports of the energy conversion device; P out is the output power of the energy conversion device, P out =[P out,1 P out,2 ...P out,N ], P out,i represents the outgoing power of the i-th output port of the energy conversion device, i=1,2,…,N, N represents the number of output ports of the energy conversion device; C is the conversion coefficient matrix of the energy conversion device, with a size of N×M, c ij is the element in the i-th row and j-th column of the matrix, indicating the ratio of the power from the j-th input port to the i-th output port of the energy conversion device to the incoming power of the j-th input port.

3. The method according to claim 2, characterized in that The method further comprises: At the beginning of each carbon flow calculation cycle, the carbon emission factor corresponding to each input port of the energy conversion device at the head end of each energy transfer path in the multi-energy coupling link is obtained; If any energy storage device connected to the multi-energy coupling link is in the energy release state at this moment, the energy storage Q0 and the cumulative carbon emissions F0 of the energy storage element at this moment are obtained; at the beginning of the first carbon flow calculation cycle, the cumulative carbon emissions F0 of each energy storage element are calculated as follows: F0=Q0×ρ avg (2) In the formula, ρ avg Indicates the average electric carbon factor of the area where the energy storage device is located; The energy storage element in the energy release state is equivalent to an energy source and placed at the beginning of the energy transfer path where the energy storage device is located; wherein the carbon emission factor of the j-th energy storage device in the energy release state is ρ eq,j : Among them, F 0,j represents the current cumulative carbon emissions of the jth energy storage device in the energy discharging state, Q 0,j Indicates the current storage energy of the jth energy storage device in the energy discharging state.

4. The method according to claim 3, characterized in that The calculation expression of the input carbon flow rate of each input port is as follows: If the input port of the current energy conversion device is connected to an energy storage element in a discharging state, then ρ in,j Including the carbon emission factor ρ of the corresponding energy storage element eq ; R in,j is the input carbon flow rate of the jth input port of the current energy conversion device; ρ in,j is the carbon emission factor of the jth input port; ρ j is the overall carbon emission factor of the jth input port; where: in, Represents the conversion coefficient of the jth input port. When it is greater than 1, it indicates that the carbon emission intensity of the current energy conversion equipment has increased. When it is less than 1, it indicates that the carbon emission intensity of the current energy conversion equipment has decreased.

5. The method according to claim 4, characterized in that The calculation expression of the output carbon flow rate of each output port is as follows: in, Represents the conversion coefficient of the carbon flow rate of the j-th input port to the carbon flow rate of the ith output port of the energy conversion device.

6. The method according to claim 5, characterized in that The method comprises: If any current energy conversion device is not the terminal device of the energy transfer path where it is located, the output carbon flow rate of each output port of the current energy conversion device will be used as the input carbon flow rate of each input port of the next energy conversion device on the path.

7. The method according to claim 6, characterized in that The method further comprises: If the device connected to the output at the end of any energy transfer path of the multi-energy coupling link is an energy-consuming device, then the energy-consuming carbon flow rate of the energy-consuming device is equal to the output carbon flow rate R of the output port of the energy conversion device connected to it at the end of the energy transfer path. out,i ; If the device connected to the output of any energy transfer path at the end of the multi-energy coupling link is an energy storage device, and the energy storage device is in a charging state, the energy storage device should be equivalent to an energy-consuming device and its energy-consuming carbon flow rate should be calculated. Then, the charging power and carbon flow rate should be integrated according to the charging time to calculate the storage energy Q and cumulative carbon emissions F of the energy storage device: Among them, P cd (t) is the real-time charging power of the energy storage device in the calculation cycle; R cd (t) is the real-time carbon flow rate of the energy storage device in the calculation cycle, which is equal to the output carbon flow rate R of the energy conversion device connected in the multi-energy coupling link. out,i ; T0 is the timing starting point of the calculation cycle, T is the current time; η is the energy storage efficiency of the energy storage element; If the device connected to the output at the end of any energy transfer path in the multi-energy coupling link is an energy storage device, and the energy storage device is in an energy release state, the storage energy Q and cumulative carbon emissions F of the energy storage device are calculated: Among them, P fd (t) is the real-time energy discharge power of the energy storage device in the calculation cycle; Then, the Q and F of each energy storage device calculated in the current cycle are used as the start time Q0 and F0 of the next calculation cycle respectively.

8. A carbon flow calculation device considering multiple energy coupling links of energy storage equipment, characterized in that: include: The energy flow distribution state acquisition module is used to obtain the energy flow distribution state of the multi-energy coupling link composed of multiple energy conversion devices at the beginning of each carbon flow calculation cycle, including: the incoming power of each input port of each energy conversion device and the outgoing power of each output port; A first carbon flow rate calculation module is used to sequentially use the energy conversion devices of each energy transfer path in the multi-energy coupling link as current energy conversion devices based on the incoming power of each input port and the outgoing power of each output port, and calculate the input carbon flow rate of each input port and the output carbon flow rate of each output port of the current energy conversion device based on a preset energy flow model of the energy conversion device; The second carbon flow rate calculation module is used to calculate the energy carbon flow rate of the energy-consuming device connected to the path output or the energy storage device in the energy storage state based on the output carbon flow rate of each output port of the energy conversion device at the end of each energy transfer path.

9. An electronic device, characterized in that: include: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions executable by the at least one processor, and the instructions are configured to execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method according to any one of claims 1 to 7.

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