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

Abstract

The application 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: at the starting moment of each carbon flow calculation period, the energy flow distribution state of the multi-energy coupling link is acquired; the energy conversion equipment of each energy transmission path is sequentially taken as a current energy conversion equipment in order, and the input carbon flow rate of each input port and the output carbon flow rate of each output port of the current energy conversion equipment are calculated based on an energy flow model; and the output carbon flow rate of each output port of the energy conversion equipment at the end of each energy transmission path is used to calculate the energy-using carbon flow rate of the energy-using equipment connected by the path or the energy storage equipment in the energy storage state. The application can accurately analyze the carbon emission distribution in various multi-energy coupling links in the industrial production process, and can refine the overall carbon emission accounting of the accounting object to each energy-using link.

Description

Technical Field

[0001] This invention belongs to the field of carbon flow calculation technology, and specifically relates to a carbon flow calculation method and device that considers the multi-energy coupling links of energy storage devices. Background Technology

[0002] Rapidly growing industrial production and market demand have not only increased greenhouse gas emissions from the supply chain but also exacerbated challenges such as energy security and air pollution. A green and low-carbon energy transition and the construction of green and low-carbon supply chains are crucial for reducing greenhouse gas emissions. The low-carbon and green transformation of industrial production is central to promoting the construction of green supply chains. Clearly, industrial production processes consume enormous amounts of resources within the green supply chain system. In achieving zero carbon emissions, accurate measurement and accounting of overall industrial carbon emissions is the primary goal for implementing low-carbon development plans and systems. However, industrial production processes consume vast amounts of energy, with diverse and complex energy forms and interconnected energy flows, posing new challenges to carbon flow measurement. Properly handling the corresponding relationships of carbon emissions from various energy sources significantly impacts the coordinated interaction among multiple energy sources in industrial production. Carbon flow analysis and calculation can further differentiate and understand the carbon emission characteristics of various energy sources, thereby allowing for adjustments to the energy systems covered in industrial production processes, optimizing the operation and distribution of various energy sources, and providing a powerful tool for reducing overall carbon emissions.

[0003] To address the problem of carbon flow calculation in multi-energy coupling processes, studying the correspondence between multiple inputs and outputs of carbon emissions becomes crucial, constituting the main research content of carbon flow calculation in multi-energy coupling processes. Existing carbon emission calculation methods primarily utilize the energy consumption of the accounting object (such as industrial parks and factories) and the average carbon emission factors published by relevant national ministries for overall carbon emission calculation. They do not consider the additional carbon emission flows accompanying material and energy flows within the accounting object, making it difficult to obtain accurate information on carbon emission distribution. Furthermore, existing methods are limited to carbon emission accounting caused by electricity consumption and cannot perform carbon emission calculations under various forms of energy coupling. Therefore, existing technologies are simple and crude, with low spatial granularity, insufficient accuracy in calculation results, and cannot accurately reflect the specific distribution of carbon emissions in each stage within the accounting object. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and propose a method and apparatus for calculating carbon flow in multi-energy coupling links of energy storage devices. This invention can accurately analyze the carbon emission distribution within various multi-energy coupling links in industrial production processes, and refine the overall carbon emission accounting of the accounting object to each internal energy-consuming link, thus achieving refined and visualized carbon emission accounting for multi-energy coupling links.

[0005] A first aspect of this invention provides a method for calculating carbon flow considering the multi-energy coupling process of energy storage devices, comprising:

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

[0007] Based on the input power of each input port and the output power of each output port, the energy conversion devices of each energy transfer path in the multi-energy coupling link are sequentially taken as the current energy conversion devices. Based on the preset energy flow model of the energy conversion devices, 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, calculate the energy consumption carbon flow rate of the energy-consuming device connected to the output of the path or the energy storage device in energy storage state.

[0009] In one 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 P represents the input power of any energy conversion device. in =[P in,1 P in ,2 ... P in,M ], P in,j Let J be the input power of the j-th input port of the energy conversion device, where j = 1, 2, ..., M, and M represents the number of input ports of the energy conversion device.

[0012] P out P represents the output power of this energy conversion device. out =[P out,1 P out,2 ... P out,N ], P out,i This represents the output power of the i-th output port of the energy conversion device, where i = 1, 2, ..., N, and 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. ij The element in the i-th row and j-th column of the matrix represents the proportion of the power from the j-th input port to the i-th output port of the energy conversion device to the power input from the j-th input port.

[0013] In one specific embodiment of the present invention, the method further includes:

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

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

[0016] F0=Q0×ρ avg (2)

[0017] In the formula, ρ avg This indicates the average electrical carbon factor in the area where the energy storage device is located;

[0018] The energy storage element in the energy release state is considered an equivalent energy source and placed at the beginning of the energy transfer path of the energy storage device; whereby the carbon emission factor of the j-th energy storage device in the energy release state is denoted as ρ. eq,j :

[0019]

[0020] Among them, F 0,j Q represents the current cumulative carbon emissions of the j-th energy storage device in a discharging state. 0,j This represents the current stored energy of the j-th energy storage device in the energy release state.

[0021] In a specific embodiment of the present invention, the expression for calculating the input carbon flow rate 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,j ρ is the input carbon flow rate at the j-th input port of the current energy conversion device; in,j ρ is the carbon emission factor of the j-th input port; j Let be the overall carbon emission factor of the j-th input port; where:

[0025]

[0026] in, This represents the conversion coefficient of the j-th input port. When it is greater than 1, it indicates that the carbon emission intensity of the current energy conversion device has increased, and when it is less than 1, it indicates that the carbon emission intensity of the current energy conversion device has decreased.

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

[0028]

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

[0030] In one specific embodiment of the present invention, the method includes:

[0031] If any current energy conversion device is not the end device of its energy transfer path, then the output carbon flow rate of each output port of the current energy conversion device shall be used as the input carbon flow rate of each input port of the next energy conversion device on the same path.

[0032] In one specific embodiment of the present invention, the method further includes:

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

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

[0035]

[0036]

[0037] Among them, P cd (t) represents the real-time charging power of the energy storage device during this calculation period; R cd (t) represents the real-time carbon flow rate of the energy storage device during this 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 starting point of the calculation cycle, T is the current time, and η is the energy storage efficiency of the energy storage element.

[0038] If the device connected to the output end of any energy transfer path in a multi-energy coupling link is an energy storage device, and that energy storage device is in a dissipating state, then calculate the stored energy Q and cumulative carbon emissions F of that energy storage device:

[0039]

[0040]

[0041] Among them, P fd (t) represents the real-time energy release power of the energy storage device during this calculation period;

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

[0043] A second aspect of the present invention provides a carbon flow calculation device considering the multi-energy coupling link of an energy storage device, comprising:

[0044] The energy flow distribution state acquisition module is used to acquire 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 input power of each input port of each energy conversion device and the output power of each output port;

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

[0046] The second carbon flow rate calculation module is used to calculate the energy consumption carbon flow rate of the energy-consuming device connected to the output of the energy conversion device at the end of each energy transfer path 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 comprising:

[0048] At least one processor; and a memory communicatively connected to said at least one processor;

[0049] The memory stores instructions that can be executed by the at least one processor, and the instructions are configured to execute the above-described method for calculating carbon flow in a multi-energy coupling process considering an energy storage device.

[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-described method for calculating carbon flow in a multi-energy coupling process considering an energy storage device.

[0051] The features and beneficial effects of this invention are as follows:

[0052] This invention solves the problem of traditional methods struggling to track specific carbon emissions under various forms of energy coupling within an accounting object, achieving precise measurement of carbon emission distribution in multi-energy coupling processes involved in industrial production. This invention utilizes the energy distribution of multi-energy coupling links within the accounting object, energy input states (including the operating state of energy storage devices), and the conversion coefficient matrices of various energy conversion devices to construct a carbon flow allocation matrix for each device; calculates the carbon emission flow distribution of each device based on its carbon flow allocation matrix; and calculates the carbon emission flow distribution of the entire accounting object's multi-energy coupling links based on the carbon emission flow distribution of each device. This invention can be applied to various industrial parks, factories, or industrial production scenarios with multiple forms of energy flow to calculate the coupled carbon emission flow accompanying energy flow; it truly improves the accuracy of carbon flow tracing in multi-energy coupling links, enabling multi-angle and comprehensive carbon emission tracking, clarifying the carbon responsibility of each energy-consuming link, and making carbon emissions traceable. This invention has the advantages of promoting the integration and interoperability between multiple energy flows, improving the accuracy of carbon flow analysis and calculation under various forms of energy coupling in industrial production processes, and promoting the low-carbon development of energy systems. Attached Figure Description

[0053] Figure 1 This is an overall flowchart of a carbon flow calculation method for a multi-energy coupling link of an energy storage device, according to an embodiment of the present invention.

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

[0055] Figure 3 This is a schematic diagram of the energy flow and carbon flow distribution of the multi-energy coupling link in a specific embodiment of the present invention, which is a carbon flow calculation method for multi-energy coupling links of energy storage devices after the operating state of the energy storage device changes. Specific Implementation

[0056] This invention proposes a method and apparatus for calculating carbon flow in multi-energy coupling links of energy storage devices, which is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0057] A first aspect of this invention provides a method for calculating carbon flow considering the multi-energy coupling process of energy storage devices, comprising:

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

[0059] Based on the input power of each input port and the output power of each output port, the energy conversion devices of each energy transfer path in the multi-energy coupling link are sequentially taken as the current energy conversion devices. Based on the preset energy flow model of the energy conversion devices, 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, calculate the energy consumption carbon flow rate of the energy-consuming device connected to the output of the path or the energy storage device in energy storage state.

[0061] In one specific embodiment of the present invention, the multi-energy coupling link refers to an energy hub in industrial production processes that includes multiple energy conversion devices. Its model is a two-port network covering various forms of energy input and output, containing the energy transfer paths of the multi-energy coupling link. In this embodiment, the energy conversion devices can realize the conversion and coupling between different energy forms, such as fuel cells, electric motors, steam and gas turbines, internal combustion engines, and electrolyzers. The output end of the multi-energy coupling link may be connected to several energy storage devices, which are devices capable of storing and releasing energy, such as batteries and pumped storage power stations. When the energy storage device is in a releasing state, it can supplement the insufficient energy output from the source and meet the load's energy demand; when the energy storage device is in a charging state, it can absorb excess source energy (mainly renewable wind and solar energy), thereby improving the renewable energy absorption capacity.

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

[0063] 1) Establish the energy flow model of the energy conversion device in the multi-energy coupling link, with the following expression:

[0064] P out =CP in (1)

[0065] Among them, P in P represents the input power of any energy conversion device. in =[P in,1 P in,2 ... P in,M], P in,j Let J be the input power of the j-th input port of the energy conversion device, where j = 1, 2, ..., M, and M represents the number of input ports of the energy conversion device. The input ports can obtain energy in any form, including electricity, heat, cold, gas, hydrogen, etc.

[0066] P out P represents the output power of this energy conversion device. out =[P out,1 P out,2 ... P out,N ], P out,i This represents the output power of the i-th output port of the energy conversion device, where i = 1, 2, ..., N, and N represents the number of output ports of the energy conversion device. 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. ij The element in the i-th row and j-th column of this matrix represents the proportion of the power from the j-th input port to the i-th output port of the energy conversion device to the power input from the j-th input port. In this embodiment, P in With P out The dimensions can be inconsistent.

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

[0069] The carbon emission factor is obtained for each input port of the energy conversion device at the beginning of each energy transfer path in the multi-energy coupling process. In this embodiment, the carbon emission factor can refer to the carbon emission factor data list published by the national or provincial ecological and environmental protection departments, as well as 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 a discharging state at the current moment, it is also necessary to obtain the stored energy 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 calculated based on the stored energy in the energy storage element and the electrical carbon factor value of the region where the energy storage device is located, and can be expressed as:

[0071] F0=Q0×ρ avg (2)

[0072] In the formula, ρ avgThis represents the average electrical carbon factor of the area where the energy storage device is located. In this embodiment, the "2021 Electricity Carbon Dioxide Emission Factor" issued by the Ministry of Ecology and Environment can be referenced.

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

[0074]

[0075] Among them, F 0,j Q represents the current cumulative carbon emissions of the j-th energy storage device in a discharging state. 0,j The value represents the current energy storage capacity of the j-th energy storage device in the energy release state, and the values ​​represent the cumulative carbon emissions and energy storage capacity of the energy storage device at the end of the previous cycle, respectively.

[0076] In this embodiment, when the j-th energy storage device is in the energy release state, its carbon emission factor ρ eq,j The carbon emission factor of the input port of the energy conversion device, which is located at the beginning of the energy transfer path of the device in the multi-energy coupling link, will be used in the carbon flow calculation for this cycle.

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

[0078] 4) Based on the energy flow model established in step 1), calculate the input carbon flow rate at each input port of the current energy conversion device along each energy transfer path, as shown in the following expression:

[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 P represents the input carbon flow rate at the j-th input port of the current energy conversion device. in,j ρ is the input power of the j-th input port; in,j ρ is the carbon emission factor of the j-th input port; j Let be the overall carbon emission factor of the j-th input port. Where:

[0082]

[0083] in, This represents the conversion coefficient of the j-th input port. When it is greater than 1, it indicates that the carbon emission intensity of the current energy conversion device has increased, and when it is less than 1, it indicates that the carbon emission intensity of the current energy conversion device has decreased.

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

[0085] The expression for calculating the output carbon flow rate of the i-th output port of any current energy conversion device is as follows:

[0086]

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

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

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

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

[0091] If any current energy conversion device is not the end device of its energy transfer path, then 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 end of any energy transfer path in a multi-energy coupling link is a load or user equipment, then the carbon flow rate of that load or user equipment is equal to the output carbon flow rate R of the output port of the connected end energy conversion device. out,i .

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

[0095]

[0096]

[0097] Among them, P cd (t) represents the real-time charging power of the energy storage device during this calculation period; R cd (t) represents the real-time carbon flow rate of the energy storage device during this 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 starting point of the calculation cycle, and 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 end of any energy transfer path in a multi-energy coupling link is an energy storage device, and that energy storage device is in a dissipating state, then calculate the stored energy Q and cumulative carbon emissions F of that energy storage device:

[0099]

[0100]

[0101] Among them, P fd (t) represents the real-time energy release power of the energy storage device during this calculation period.

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

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

[0104] The method described in this embodiment will be further explained in detail below with reference to a specific example.

[0105] In one specific embodiment of the present invention, the multi-energy coupling link is an energy hub (EH) comprising 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 this energy hub are shown in Table 1.

[0106] Table 1. Parameter table of each energy conversion device in an energy hub in a specific embodiment of the present invention.

[0107]

[0108] In the table, the superscripts W and Q represent electricity and heat, respectively; η W η represents the power generation efficiency of a combined heat and power (CHP) unit. Q This represents the heat production efficiency of the combined heat and power unit; η AB Indicates the heating efficiency of the auxiliary boiler; ηCERG η represents the refrigeration efficiency of a compression refrigeration system (including the conversion efficiency between input electrical energy and heat energy); WARG This indicates the refrigeration efficiency of an absorption refrigeration system.

[0109] Meanwhile, the carbon emission factors at the nodes connecting this energy hub to the power grid and natural gas network are 0.647 t / MW·h and 0.2 t / MW·h, respectively. The energy output includes various types of energy loads, including electrical load. Heat load Cooling load The energy storage device initially operates in a charging state for 8 hours, after which it transitions to a discharging state. The parameters of the energy storage device are shown in Table 2.

[0110] Table 2. Parameter table of energy storage device for energy hub connection in a specific embodiment of the present invention.

[0111]

[0112]

[0113] According to the carbon flow calculation method for multi-energy coupling links considering energy storage devices proposed in this embodiment, the energy flow distribution state of the multi-energy coupling links is first obtained. The schematic diagram of the energy flow and carbon flow distribution of the multi-energy coupling links at the beginning of the calculation cycle in this embodiment is shown below. Figure 2 As indicated by the black arrow in the middle.

[0114] Then, the total incoming and outgoing power of this energy hub is calculated:

[0115] P in =[280 1035] T

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

[0117] The input and output power of each energy conversion device are as follows:

[0118]

[0119]

[0120]

[0121]

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

[0123] The conversion coefficient matrices for each energy conversion device are as follows:

[0124] Hot spot cogeneration unit (CHP):

[0125]

[0126] Auxiliary boiler (AB):

[0127] C AB =[0.75]

[0128] CERG (Compression Refrigeration System):

[0129] C CERG =[3 3]

[0130] Absorption refrigeration system (WARG):

[0131] C WARG =[0.7 0.7]

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

[0133]

[0134]

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

[0136]

[0137]

[0138]

[0139]

[0140]

[0141] Calculate the carbon flow input and output of each energy conversion device 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 end devices in the energy transfer path, the carbon flow rate outputs of the two devices are used as the carbon flow rate inputs of the downstream devices CERG and WRG according to the energy transfer path (based on the actual energy flow distribution, the carbon flow rate outputs of CHP and AB are not all connected to the inputs of CERG and WRG, and need to be converted according to the distribution ratio of the energy flow). The carbon flow rate outputs of CERG and WRG are calculated as follows:

[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 device, thermal storage device, and cold storage device after the charging process are calculated separately, as shown in Table 3:

[0150] Table 3. Energy storage and carbon emission storage of the energy storage device, thermal storage device, and cold storage device after charging is completed in a specific embodiment of the present invention.

[0151]

[0152]

[0153] In this embodiment, after 8 hours of energy storage, the thermal energy storage device switches to an energy release state, supplying energy to the WAG. At this point, 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, and the equivalent carbon emission factor of the thermal energy storage device is calculated as follows:

[0154]

[0155] At this point, the power at the energy input and output ports of the multi-energy coupling element are respectively:

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

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

[0158] Based on the carbon flow allocation 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 of the multi-energy coupling link after the energy storage device's operating state changes is shown in the schematic diagram. The specific energy flow state and carbon flow distribution at this time are as follows: Figure 3 As shown.

[0164] To implement the above embodiments, a second aspect of the present invention provides a carbon flow calculation device considering the multi-energy coupling link of energy storage devices, comprising:

[0165] The energy flow distribution state acquisition module is used to acquire 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 input power of each input port of each energy conversion device and the output power of each output port;

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

[0167] The second carbon flow rate calculation module is used to calculate the energy consumption carbon flow rate of the energy-consuming device connected to the output of the energy conversion device at the end of each energy transfer path 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 foregoing explanation of an embodiment of a carbon flow calculation method for a multi-energy coupling link considering energy storage devices also applies to a carbon flow calculation device for a multi-energy coupling link considering energy storage devices in this embodiment, and will not be repeated here. According to an embodiment of the present invention, a carbon flow calculation device for a multi-energy coupling link considering energy storage devices obtains the energy flow distribution state of a multi-energy coupling link composed of multiple energy conversion devices at the beginning of each carbon flow calculation cycle, including: the input power of each input port and the output power of each output port of each energy conversion device; based on the input power of each input port and the output power of each output port, the energy conversion devices of each energy transfer path in the multi-energy coupling link are sequentially designated as the current energy conversion devices; based on a preset energy flow model of the energy conversion devices, 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 or the energy storage device in energy storage state is calculated. This enables precise analysis of carbon emission distribution within various multi-energy coupling links in industrial production processes, refining the overall carbon emission accounting of the accounting object down to each internal energy-consuming link, thus achieving refined and visualized carbon emission accounting for multi-energy coupling links.

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

[0170] At least one processor; and a memory communicatively connected to said at least one processor;

[0171] The memory stores instructions that can be executed by the at least one processor, and the instructions are configured to execute the above-described method for calculating carbon flow in a multi-energy coupling process considering an energy storage device.

[0172] To implement the above embodiments, a fourth aspect of the present invention provides a computer-readable storage medium storing computer instructions for causing the computer to execute the above-described method for calculating carbon flow in a multi-energy coupling process considering an energy storage device.

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

[0174] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device. The aforementioned computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to perform a carbon flow calculation method for a multi-energy coupling link considering an energy storage device, as described in the above embodiments.

[0175] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone 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 remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0176] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0177] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0178] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the function involved, as will be understood by those skilled in the art to which embodiments of this application pertain.

[0179] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0180] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0181] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0182] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0183] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for calculating carbon flow in multi-energy coupling processes of energy storage devices, characterized in that, include: At the beginning of each carbon flow calculation cycle, the energy flow distribution status of the multi-energy coupling link composed of multiple energy conversion devices is obtained, including: the input power of each input port of each energy conversion device and the output power of each output port; Based on the input power of each input port and the output power of each output port, the energy conversion devices of each energy transfer path in the multi-energy coupling link are sequentially taken as the current energy conversion devices. Based on the preset energy flow model of the energy conversion devices, 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 or the energy storage device in energy storage state connected to the output of that path is calculated; wherein, if the device connected to the output of any energy transfer path in the multi-energy coupling link is an energy-consuming device, then the energy consumption carbon flow rate of that energy-consuming device is equal to the output carbon flow rate of the output port of the energy conversion device located at the end of the energy transfer path to which it is connected. ; If the device connected to the output end of any energy transfer path in a multi-energy coupling link is an energy storage device, and that energy storage device is in a charging state, then the energy storage device should be treated as an energy-consuming device, and its energy consumption carbon flow rate should be calculated. Then, the energy stored in the energy storage device should be calculated by integrating the charging power and carbon flow rate over the charging time. and cumulative carbon emissions : in, The real-time charging power of the energy storage device during this calculation cycle; The real-time carbon flow rate of the energy storage device during this calculation cycle is equal to the output carbon flow rate of the energy conversion device connected in the multi-energy coupling link. ; This is the starting point of the calculation cycle, where T is the current time. The energy storage efficiency of energy storage devices; This refers to the energy stored by the energy storage device at the start of the current carbon flow calculation cycle. This represents the cumulative carbon emissions of the energy storage device at the start of the current carbon flow calculation period; If the device connected to the output end of any energy transfer path in a multi-energy coupling link is an energy storage device, and that energy storage device is in a discharging state, then calculate the stored energy of that energy storage device. and cumulative carbon emissions : in, This represents the real-time energy release power of the energy storage device during this calculation period; Let be the carbon emission factor of the j-th energy storage device in the energy release state; Then, the calculations for each energy storage device in the current period are obtained. and These are respectively used as the start times of the next calculation cycle: Q0 and F0.

2. The method according to claim 1, characterized in that, The energy flow model of the energy conversion device includes: in, The input power of any energy conversion device. , Let J be the input power of the j-th input port of the energy conversion device, where j = 1, 2, ..., M, and M represents the number of input ports of the energy conversion device. This refers to the output power of the energy conversion device. , This represents the output power of the i-th output port of the energy conversion device, where i = 1, 2, ..., N, and 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. The element in the i-th row and j-th column of the matrix represents the proportion of the power from the j-th input port to the i-th output port of the energy conversion device to the power input from the j-th input port.

3. The method according to claim 2, characterized in that, The method further includes: At the beginning of each carbon flow calculation cycle, obtain the carbon emission factor corresponding to each input port of the energy conversion device at the beginning of each energy transfer path in the multi-energy coupling link; If any energy storage device connected to the multi-energy coupling link is in a discharging state at that moment, then the stored energy of that energy storage device at that moment is obtained. and cumulative carbon emissions Among them, at the beginning of the first carbon flow calculation cycle, the cumulative carbon emissions of each energy storage device. The calculation expression is as follows: In the formula, This indicates the average electrical carbon factor in the area where the energy storage device is located; The energy storage device in the energy release state is considered an equivalent energy source and placed at the beginning of the energy transfer path where the energy storage device is located; where the carbon emission factor of the j-th energy storage device in the energy release state is denoted as . : . in, This represents the current cumulative carbon emissions of the j-th energy storage device in a discharging state. This represents the current stored energy of the j-th energy storage device in the energy release state.

4. The method according to claim 3, characterized in that, The expression for calculating the input carbon flow rate at each input port is as follows: If the input port of the current energy conversion device is connected to an energy storage device in a dissipation state, then Including the carbon emission factor of the corresponding energy storage device ; Let J be the input carbon flow rate at the j-th input port of the current energy conversion device; Let be the carbon emission factor of the j-th input port; Let be the overall carbon emission factor of the j-th input port; where: in, This represents the conversion coefficient of the j-th input port. When it is greater than 1, it indicates that the carbon emission intensity of the current energy conversion device has increased, and when it is less than 1, it indicates that the carbon emission intensity of the current energy conversion device has decreased.

5. The method according to claim 4, characterized in that, The expression for calculating the output carbon flow rate of each output port is as follows: in, , represents the conversion coefficient from the carbon flow rate at the j-th input port to the carbon flow rate at the i-th output port of the energy conversion device.

6. The method according to claim 5, characterized in that, The method includes: If any current energy conversion device is not the end device of its energy transfer path, then the output carbon flow rate of each output port of the current energy conversion device shall be used as the input carbon flow rate of each input port of the next energy conversion device on the same path.

7. A carbon flow calculation device considering multi-energy coupling links of energy storage devices, characterized in that, include: The energy flow distribution state acquisition module is used to acquire 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 input power of each input port of each energy conversion device and the output power of each output port; The first carbon flow rate calculation module is used to, based on the incoming power of each input port and the outgoing power of each output port, sequentially take the energy conversion devices of each energy transfer path in the multi-energy coupling link as the current energy conversion devices, 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 the preset energy flow model of the energy conversion device. The second carbon flow rate calculation module is used to calculate the energy consumption carbon flow rate of the energy-consuming device or the energy storage device in energy storage state connected to the output of each output port of the energy conversion device at the end of each energy transfer path, based on the output carbon flow rate of each output port of the energy conversion device at the end of each energy transfer path; wherein, if the device connected to the output of any energy transfer path in the multi-energy coupling link is an energy-consuming device, then the energy consumption carbon flow rate of the energy-consuming device is equal to the output carbon flow rate of the output port of the energy conversion device located at the end of the energy transfer path to which it is connected. ; If the device connected to the output end of any energy transfer path in a multi-energy coupling link is an energy storage device, and that energy storage device is in a charging state, then the energy storage device should be treated as an energy-consuming device, and its energy consumption carbon flow rate should be calculated. Then, the energy stored in the energy storage device should be calculated by integrating the charging power and carbon flow rate over the charging time. and cumulative carbon emissions : in, The real-time charging power of the energy storage device during this calculation cycle; The real-time carbon flow rate of the energy storage device during this calculation cycle is equal to the output carbon flow rate of the energy conversion device connected in the multi-energy coupling link. ; This is the starting point of the calculation cycle, where T is the current time. The energy storage efficiency of energy storage devices; This refers to the energy stored by the energy storage device at the start of the current carbon flow calculation cycle. This represents the cumulative carbon emissions of the energy storage device at the start of the current carbon flow calculation period; If the device connected to the output end of any energy transfer path in a multi-energy coupling link is an energy storage device, and that energy storage device is in a discharging state, then calculate the stored energy of that energy storage device. and cumulative carbon emissions : in, This represents the real-time energy release power of the energy storage device during this calculation period; Let be the carbon emission factor of the j-th energy storage device in the energy release state; Then, the calculations for each energy storage device in the current period are obtained. and These are respectively used as the start times of the next calculation cycle: Q0 and F0.

8. An electronic device, characterized in that, include: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores instructions executable by the at least one processor, the instructions being configured to perform the method described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to perform the method according to any one of claims 1-6.

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