High-voltage switch cabinet full life cycle carbon footprint evaluation method based on digital twinborn model

Abstract

The invention discloses a high-voltage switch cabinet full-life-cycle carbon footprint evaluation method based on a digital twin model, and belongs to the technical field of carbon footprint evaluation. Comprising the following steps: determining the range of a high-voltage switch cabinet carbon footprint evaluation method; analyzing the life cycle list of the high-voltage switch cabinet, and constructing a digital twinborn model according to an analysis result; constructing a high-voltage switch cabinet carbon footprint influence evaluation method, and completing the evaluation of the carbon footprint of the high-voltage switch cabinet according to the evaluation method; carbon emission data of each life cycle stage of the high-voltage switch cabinet are displayed through a visual tool; according to the high-voltage switch cabinet full-life-cycle carbon footprint evaluation method based on the digital twinborn model, various losses of the high-voltage switch cabinet in the operation process are fully considered, and the high-voltage switch cabinet full-life-cycle carbon footprint evaluation method is improved by establishing the high-voltage switch cabinet carbon footprint digital twinborn model. And rapidly calculating and analyzing the carbon dioxide equivalent discharged by the high-voltage switch cabinet in a period of operation time based on the monitored operation load.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon footprint assessment, and in particular to a method for assessing the carbon footprint of a high-voltage switchgear throughout its life cycle based on a digital twin model. Background Art

[0002] The current calculation of CO2 equivalents caused by losses during the operation of high-voltage switchgear products is mainly based on the method of measuring the power loss and DC resistance of the high-voltage switchgear. The power loss of the high-voltage switchgear is measured through test measurements to calculate the CO2 equivalent. However, the losses of the high-voltage switchgear under different loads during operation are different. Not only does it require a large number of current-through tests, but it is also impossible to cover all load conditions. By measuring the DC resistance of the high-voltage switchgear, the losses under different current values ​​can be calculated, and thus the CO2 equivalent can be calculated. However, the high-voltage switchgear operates under AC current, and using this method will result in a situation where the calculated losses are inconsistent with the actual losses.

[0003] In addition, the carbon footprint assessment of high-voltage switchgear based on the above two calculation methods cannot respond promptly to changes in the operating load of the high-voltage switchgear, and cannot meet the current development needs of intelligence and informatization. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for evaluating the carbon footprint of a high-voltage switchgear throughout its life cycle based on a digital twin model, so as to solve the problems raised in the above-mentioned background technology.

[0005] In view of the above problems, the technical solution proposed by the present invention is:

[0006] A method for evaluating the carbon footprint of a high-voltage switchgear throughout its life cycle based on a digital twin model includes the following steps:

[0007] S1. Determine the scope of the carbon footprint assessment method for high-voltage switchgear;

[0008] S2. Analyze the life cycle inventory of high-voltage switchgear and build a digital twin model based on the analysis results;

[0009] S3. Construct a carbon footprint impact assessment method for high-voltage switchgear and complete the carbon footprint assessment of high-voltage switchgear based on the assessment method;

[0010] S4. Use visualization tools to display the carbon emission data of high-voltage switchgear at each life cycle stage.

[0011] As a preferred technical solution of the present invention, the scope in step S1 includes functional units, system boundaries, and allocation principles; the functional unit is a high-voltage switchgear; the system boundaries include the acquisition and transportation of raw materials of the high-voltage switchgear, the production process of the high-voltage switchgear, the product transportation, product use, and waste disposal stages of the high-voltage switchgear; the allocation principles include the input, transportation, and output of all materials, energy, and chemicals used in the production of the high-voltage switchgear are allocated based on the quality of output, the data in the raw material acquisition stage comes from the product BOM table, which includes the actual components and raw material properties and component quality data of the high-voltage switchgear product, the data in the product production stage includes the energy and resource data actually consumed in the enterprise production process, the transportation stage includes the transportation method, transportation distance, and transportation weight of raw materials and products, the use stage includes the energy consumption in the operation stage of the high-voltage switchgear, and the waste disposal stage of the high-voltage switchgear includes the energy and resource consumption used for disassembly and processing.

[0012] As a preferred technical solution of the present invention, the life cycle inventory in step S2 includes primary data and secondary data; the primary data is the quantitative value of the process or activity obtained by direct measurement or calculation based on direct measurement. To ensure the reliability of the calculation results, the primary data provided by manufacturers and suppliers is selected as much as possible during the collection process; the secondary data is data that does not meet the requirements of the primary data.

[0013] As a preferred technical solution of the present invention, the construction of the digital twin model in step S2 includes the following steps:

[0014] S21. Collect information about the high-voltage switchgear, including but not limited to material composition, production process, and operating parameters. S22. Create a digital twin model of the high-voltage switchgear based on the collected information using modeling tools, including but not limited to CAD and BIM.

[0015] S23. Through sensors and IoT technology, real-time data collection is achieved during the operation of the equipment, and the real-time data is input into the digital twin model.

[0016] Specifically, based on the simulation capabilities of the digital twin model, the impact of different design schemes, material selections and operating conditions on carbon footprints can be evaluated to assist decision-making.

[0017] As a preferred technical solution of the present invention, the carbon footprint impact assessment method of a high-voltage switchgear comprises the following steps:

[0018] S31. Determine the calculation formula for the carbon footprint impact assessment method for high-voltage switchgear, specifically:

[0019]

[0020] Among them, GFP GHG Carbon footprint of the entire life cycle of high-voltage switchgear; activity data i is the greenhouse gas emission and removal data of the i-th activity within the system boundary, and the emission factor i,j represents the emission coefficient of greenhouse gas j corresponding to the i-th activity;

[0021] S32. Determine a calculation formula for activity data, where the activity data is energy loss of a high-voltage switchgear, specifically:

[0022]

[0023] Among them, W is the energy loss of high-voltage switchgear in a period of time, P 总损耗 is the total power loss of the high-voltage switchgear, P m is the power loss in the mth time interval, t m is the time of the mth time interval;

[0024] S33, determine P 总损耗 The calculation formula is as follows:

[0025]

[0026] Where I is the load current; T is the number of winding units; R (g) is the resistance of unit g;

[0027] P 总损耗 =P 电阻损耗 +P 趋肤损耗 +P 涡流损耗 +P 磁滞损耗

[0028] Among them, P 电阻损耗 is the resistance loss power, P 趋肤损耗 is the power loss caused by skin effect, P 涡流损耗 is the eddy current loss power, P 磁滞损耗 is the hysteresis loss power;

[0029] S34. Determine P 电阻损耗 、P 趋肤损耗 、P 涡流损耗 、P 磁滞损耗 The calculation formula is as follows:

[0030] P 趋肤损耗 =K f I 2 R x

[0031] Among them, K f is the additional coefficient, I is the load current, R x is the resistance of the wire;

[0032]

[0033] Where N is the number of magnetic permeable units, σ ​​is the material conductivity, d is the thickness, is the average magnetic flux density amplitude of unit g, and f is the frequency;

[0034]

[0035] Where N is the number of magnetic conductive units, is the hysteresis loss coefficient of unit g, is the average magnetic flux density amplitude of unit g, and f is the frequency.

[0036] Specifically, by combining life cycle inventory data and real-time data of the digital twin model, and based on the high-voltage switchgear carbon footprint impact evaluation method, the full carbon footprint calculation of the high-voltage switchgear under different operating conditions throughout its life cycle is completed.

[0037] Specifically, the calculation software and database used in the above steps are SimaPro and Eco-invent3 respectively. Compared with the prior art, the beneficial effects of the present invention are:

[0038] 1. The present invention collects real-time data of high-voltage switchgear in different operating states based on digital twin technology. The carbon footprint of the high-voltage switchgear within a certain period of time can be quantitatively analyzed through data twin technology, thereby improving the reliability of the analysis results.

[0039] 2. By constructing a digital twin model of the carbon footprint of a high-voltage switchgear, the present invention can analyze the carbon footprint of the high-voltage switchgear under different design schemes, material selections and operating conditions. Based on the carbon footprint analysis results, it can help optimize the design and operation strategies of the high-voltage switchgear and provide a scientific basis for building a low-carbon and energy-saving power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of a method for assessing the carbon footprint of a high-voltage switchgear throughout its life cycle based on a digital twin model, as disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0042] See also Figure 1The present invention provides a technical solution: a method for evaluating the carbon footprint of a high-voltage switchgear throughout its life cycle based on a digital twin model, comprising the following steps:

[0043] S1. Determine the scope of the carbon footprint assessment method for high-voltage switchgear;

[0044] S2. Analyze the life cycle inventory of high-voltage switchgear and build a digital twin model based on the analysis results;

[0045] S3. Construct a carbon footprint impact assessment method for high-voltage switchgear and complete the carbon footprint assessment of high-voltage switchgear based on the assessment method;

[0046] S4. Use visualization tools to display the carbon emission data of high-voltage switchgear at each life cycle stage.

[0047] As an embodiment of the present invention, further, the scope in step S1 includes functional units, system boundaries, and allocation principles; the functional unit is a high-voltage switchgear; the system boundaries include the acquisition and transportation of raw materials of the high-voltage switchgear, the production process of the high-voltage switchgear, the product transportation, product use, and waste disposal stages of the high-voltage switchgear; the allocation principles include the input, transportation, and output of all materials, energy, and chemicals used in the production of the high-voltage switchgear are allocated based on the quality of output, the data in the raw material acquisition stage comes from the product BOM table, which includes the actual components and raw material properties and component quality data of the high-voltage switchgear product, the data in the product production stage includes the energy and resource data actually consumed in the enterprise production process, the transportation stage includes the transportation method, transportation distance, and transportation weight of raw materials and products, the use stage includes the energy consumption in the operation stage of the high-voltage switchgear, and the waste disposal stage of the high-voltage switchgear includes the energy and resource consumption used for disassembly and processing.

[0048] As an embodiment of the present invention, further, the life cycle inventory in step S2 includes primary data and secondary data; the primary data is the quantitative value of the process or activity obtained by direct measurement or calculation based on direct measurement. In order to ensure the reliability of the calculation results, the primary data provided by manufacturers and suppliers is selected as much as possible during the collection process; the secondary data is data that does not meet the requirements of the primary data.

[0049] As an embodiment of the present invention, further, the construction of the digital twin model in step S2 includes the following steps:

[0050] S21. Collect information about the high-voltage switchgear, including but not limited to material composition, production process, and operating parameters. S22. Create a digital twin model of the high-voltage switchgear based on the collected information using modeling tools, including but not limited to CAD and BIM.

[0051] S23. Through sensors and IoT technology, real-time data collection is achieved during the operation of the equipment, and the real-time data is input into the digital twin model.

[0052] As an embodiment of the present invention, further, based on the simulation capability of the digital twin model, the impact of different design schemes, material selections and operating conditions on carbon footprints is evaluated to assist decision-making.

[0053] As an embodiment of the present invention, the method for assessing the carbon footprint impact of a high-voltage switchgear further comprises the following steps:

[0054] S31. Determine the calculation formula for the carbon footprint impact assessment method for high-voltage switchgear, specifically:

[0055]

[0056] Among them, GFP GHG Carbon footprint of the entire life cycle of high-voltage switchgear; activity data i is the greenhouse gas emission and removal data of the i-th activity within the system boundary, and the emission factor i,j represents the emission coefficient of greenhouse gas j corresponding to the i-th activity;

[0057] S32. Determine a calculation formula for activity data, where the activity data is energy loss of a high-voltage switchgear, specifically:

[0058]

[0059] Among them, W is the energy loss of high-voltage switchgear in a period of time, P 总损耗 is the total power loss of the high-voltage switchgear, P m is the power loss in the mth time interval, t m is the time of the mth time interval;

[0060] S33, determine P 总损耗 The calculation formula is as follows:

[0061]

[0062] Where I is the load current; T is the number of winding units; R (g) is the resistance of unit g;

[0063] P 总损耗 =P 电阻损耗 +P 趋肤损耗 +P 涡流损耗 +P 磁滞损耗

[0064] Among them, P 电阻损耗 is the resistance loss power, P趋肤损耗 is the power loss caused by skin effect, P 涡流损耗 is the eddy current loss power, P 磁滞损耗 is the hysteresis loss power;

[0065] S34. Determine P 电阻损耗 、P 趋肤损耗 、P 涡流损耗 、P 磁滞损耗 The calculation formula is as follows:

[0066] P 趋肤损耗 =K f I 2 R x

[0067] Among them, K f is the additional coefficient, I is the load current, R x is the resistance of the wire;

[0068]

[0069] Where N is the number of magnetic permeable units, σ ​​is the material conductivity, d is the thickness, is the average magnetic flux density amplitude of unit g, and f is the frequency;

[0070]

[0071] Where N is the number of magnetic conductive units, is the hysteresis loss coefficient of unit g, is the average magnetic flux density amplitude of unit g, and f is the frequency.

[0072] As an embodiment of the present invention, further, combined with life cycle inventory data and real-time data of the digital twin model, based on the high-voltage switchgear carbon footprint impact evaluation method, the full life cycle carbon footprint calculation of the high-voltage switchgear under all different operating conditions is completed.

[0073] As an embodiment of the present invention, further, the calculation software and database used in the above steps are SimaPro and Eco-invent3 respectively.

[0074] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0075] A KYN28-12 high-voltage switchgear is now clearly defined as the functional unit of this assessment. This type of switchgear is widely used in this substation and is responsible for distributing and controlling electrical energy. Figure 1 The present invention provides a technical solution: a method for evaluating the carbon footprint of a high-voltage switchgear throughout its life cycle based on a digital twin model, comprising the following steps:

[0076] As an embodiment of the present invention, further, in terms of raw material acquisition and transportation, the raw materials are determined to include copper, steel, insulating materials, etc. through the product BOM table, and the origin and transportation distance information of these raw materials are obtained. For example, copper comes from a copper mine in Jiangxi, and the transportation distance is about 800 kilometers; steel comes from a steel plant in Hebei, and the transportation distance is about 500 kilometers. During the production process, the actual energy consumption data is obtained from the production enterprise, such as the production of a switch cabinet consumes 500 degrees of electricity and 2 cubic meters of water. During the product transportation stage, the transportation method, transportation distance and transportation weight of the switch cabinet from the production plant to the substation are recorded. During the use stage, the energy consumption during the operation stage is monitored, and the annual electricity consumption is expected to be 10,000 degrees. During the waste disposal stage, it is learned that the dismantling and processing of a switch cabinet is expected to consume 200 degrees of electricity and a number of other resources.

[0077] As an embodiment of the present invention, all inputs, transportation, and outputs of materials, energy, and chemicals used in production are further allocated based on the quality of the output. For example, if a batch produces 100 switchgear units and consumes 5,000 kilograms of copper, each switchgear unit is allocated 50 kilograms of copper, along with its associated transportation and production energy consumption data.

[0078] As an embodiment of the present invention, primary data is further collected from switchgear manufacturers and raw material suppliers, such as information on copper purity, steel type, and insulation composition. Regarding production processes, information on the switchgear's processing flow, welding process, and assembly process is obtained. Regarding operating parameters, sensors installed on the switchgear monitor load current, voltage, temperature, and other parameters in real time. Supplementary secondary data is also collected, such as industry-average production energy consumption data.

[0079] As an embodiment of the present invention, CAD software is further used to create a three-dimensional digital model of the high-voltage switchgear based on the switchgear design drawings and the collected material composition and structural information, accurately representing its internal structure and component layout. In combination with production process information, the model simulates energy consumption and carbon emissions during the production process.

[0080] As an embodiment of the present invention, current sensors, temperature sensors, and other devices are installed on the switchgear, and IoT technology is used to transmit real-time operational data such as load current and temperature to the digital twin model. For example, load current data is collected every 15 minutes and updated to the model in a timely manner, allowing the model to reflect the operating status of the switchgear in real time.

[0081] As an embodiment of the present invention, the carbon footprint impact is further evaluated based on the formula provided in the invention content. SimaPro software and the Eco-invent3 database are used to input relevant parameters and data, combining life cycle inventory data and real-time data from the digital twin model to complete the full life cycle carbon footprint calculation of the high-voltage switchgear under different operating conditions. For example, greenhouse gas emission data from the raw material acquisition, production, transportation, use, and waste disposal stages, as well as calculated energy loss data, are input into the software to calculate the carbon dioxide equivalent emissions of the switchgear over its entire life cycle.

[0082] As an embodiment of the present invention, data visualization tools are further used to present the evaluation results in intuitive graphical form. A bar chart is drawn to compare the carbon emission percentages at different lifecycle stages, clearly demonstrating that carbon emissions due to energy consumption during the use phase account for the highest proportion. A line chart is used to display the carbon emission trends of the switchgear at different operating times, allowing operations personnel and decision makers to intuitively understand its carbon emissions and providing data support for the development of energy-saving and emission-reduction measures.

Claims

1. A method for evaluating the carbon footprint of a high-voltage switchgear throughout its life cycle based on a digital twin model, characterized in that: The following steps are involved: S1. Determine the scope of the carbon footprint assessment method for high-voltage switchgear; S2. Analyze the life cycle inventory of high-voltage switchgear and build a digital twin model based on the analysis results; S3. Construct a carbon footprint impact assessment method for high-voltage switchgear and complete the carbon footprint assessment of high-voltage switchgear based on the assessment method; S4. Use visualization tools to display the carbon emission data of high-voltage switchgear at each life cycle stage.

2. The method for evaluating the carbon footprint of a high-voltage switchgear throughout its life cycle based on a digital twin model according to claim 1, wherein: The scope in step S1 includes functional units, system boundaries, and allocation principles; The functional unit is a high-voltage switchgear; The system boundary includes the acquisition and transportation of raw materials for high-voltage switchgear, the production process of high-voltage switchgear, the product transportation, product use, and waste disposal stages of high-voltage switchgear; The allocation principle includes all inputs, transportation and outputs of materials, energy and chemicals used in the production of high-voltage switchgear being allocated based on the quality of the output.

3. The method for evaluating the carbon footprint of a high-voltage switchgear throughout its life cycle based on a digital twin model according to claim 2, wherein: The life cycle inventory in step S2 includes primary data and secondary data; The primary data are quantitative values ​​of a process or activity obtained through direct measurement or calculation based on direct measurement; The secondary data is data that does not meet the requirements of primary data.

4. The method for evaluating the carbon footprint of a high-voltage switchgear throughout its life cycle based on a digital twin model according to claim 3 is characterized in that: The construction of the digital twin model in step S2 includes the following steps: S21. Collect information on high-voltage switchgear, including but not limited to material composition, production process, and operating parameters; S22. Based on the collected information, use modeling tools to create a digital twin model of the high-voltage switchgear; S23. Through sensors and IoT technology, real-time data collection is achieved during the operation of the equipment, and the real-time data is input into the digital twin model.

5. The method for evaluating the carbon footprint of a high-voltage switchgear throughout its life cycle based on a digital twin model according to claim 4 is characterized in that: The carbon footprint impact assessment method for high-voltage switchgear comprises the following steps: S31. Determine the calculation formula for the carbon footprint impact assessment method for high-voltage switchgear, specifically: Among them, GFP GHG Carbon footprint of the entire life cycle of high-voltage switchgear; activity data i is the greenhouse gas emission and removal data of the i-th activity within the system boundary, and the emission factor i,j represents the emission coefficient of greenhouse gas j corresponding to the i-th activity; S32. Determine a calculation formula for activity data, where the activity data is energy loss of a high-voltage switchgear, specifically: Among them, W is the energy loss of high-voltage switchgear in a period of time, P 总损耗 is the total power loss of the high-voltage switchgear, P m is the power loss in the mth time interval, t m is the time of the mth time interval; S33, determine P 总损耗 The calculation formula is as follows: Where I is the load current; T is the number of winding units; R (g) is the resistance of unit g; P 总损耗 =P 电阻损耗 +P 趋肤损耗 +P 涡流损耗 +P 磁滞损耗 Among them, P 电阻损耗 is the resistance loss power, P 趋肤损耗 is the power loss caused by skin effect, P 涡流损耗 is the eddy current loss power, P 磁滞损耗 is the hysteresis loss power; S34. Determine P 电阻损耗 、P 趋肤损耗 、P 涡流损耗 、P 磁滞损耗 The calculation formula is as follows: P 趋肤损耗 =K f I 2 R x Among them, K f is the additional coefficient, I is the load current, R x is the resistance of the wire; Where N is the number of magnetic permeable units, σ ​​is the material conductivity, d is the thickness, is the average magnetic flux density amplitude of unit g, and f is the frequency; Where N is the number of magnetic conductive units, is the hysteresis loss coefficient of unit g, is the average magnetic flux density amplitude of unit g, and f is the frequency.

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