The disclosure relates to the technical field of recycling of decommissioned battery, in particular to a carbon emission assessment system for recycling of decommissioned battery.
With the introduction of policies of carbon peaking in 2030 and carbon neutrality in 2060, the carbon emission requirements for industrial enterprises, especially new energy enterprises, are on the agenda. However, since calculation and assessment of carbon emissions are a series of complicated calculation processes, it is difficult for enterprises to conduct self-assessment based on actual conditions, and therefore they cannot conduct self-supervision and timely adjustment. Many non-compliant carbon emissions will continue to affect the environment in the future.
With the development of battery technology, batteries will play an increasingly important role in the future. Many batteries will be applied to various new energy companies or other industries. At the same time, a large number of batteries will be decommissioned according to their life cycles. Recycling batteries will also produce a complex carbon emission process, and carbon emissions are also very considerable due to the large number of batteries, which will inevitably affect the company's carbon emission indicators.
Therefore, it is necessary to conduct a standardized assessment of carbon emissions in the process of recycling decommissioned battery, so that enterprises can optimize carbon emissions in the process of recycling decommissioned battery based on the assessment.
The purpose of the present disclosure is to provide a carbon emission assessment system for recycling of decommissioned battery, to conduct a standardized assessment of carbon emissions during the recycling, so that enterprises can optimize carbon emissions during the recycling of decommissioned battery based on the assessment.
In order to achieve the above objective, the present disclosure provides a carbon emission assessment system for recycling of decommissioned battery, which includes an information module, an instruction module, an accounting module, and an analysis module.
The information module is configured to obtain operation stages of the recycling of decommissioned battery and an input inventory corresponding to each of the operation stages.
The instruction module is configured to store a carbon dioxide emission calculation formula and carbon dioxide emission factors of different substances.
The accounting module is configured to retrieve the carbon emission calculation formula and the carbon emission factors of different substances in the instruction module, in response to the operation stages and an input inventory in the information module inputted by a user, and to obtain carbon emission results of different operation stages.
The analysis module is configured to compare the carbon emission results obtained by the accounting module with a pre-stored standard carbon emission amount to obtain a comparison result.
Further, the carbon emission calculation formula is:
Further, the operation stages include one or more selected from a group consisting of pretreatment, leaching extraction, precursor preparation, and cathode material preparation.
Further, the input inventory includes one or more selected from a group consisting of raw materials, products, by-products, waste gas, waste residue, and energy involved in each operation stages.
Further, the information module includes a storage unit, where the storage unit is configured to store a standard carbon emission obtained according to a carbon emission policy promulgated by a state.
Further, the carbon emission system further includes a first optimization module, which is configured to rank carbon emissions of the operation stages according to the carbon emission results obtained by the analysis module, and to obtain an operation stage to be optimized according to a ranking result.
Further, the carbon emission system further includes a second optimization module, which is configured to perform a main contribution factor analysis according to the input inventory corresponding to the operation stage to be optimized, and to determine an optimization direction of the operation stage to be optimized.
Further, the carbon emission system further includes a display module, which is configured to display the comparison result obtained by the analysis module, the operation stage to be optimized determined by the first optimization module and the optimization direction determined by the second optimization module to the user.
Compared with the existing technology, the carbon emission assessment system for recycling of decommissioned battery in the embodiment of the present disclosure has the following beneficial effect: scientific and standardized carbon emission assessment can be carried out on the recycling of decommissioned battery, and the relevant company personnel can optimize the carbon emission of the recycling of decommissioned battery based on a comparison result obtained by comparing a carbon emission result with a pre-stored standard carbon emission.
The specific embodiments of the present disclosure will be described in further detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present disclosure, but not to limit the scope of the present disclosure.
As shown in
The information module is configured to obtain operation stages of the recycling of decommissioned battery and an input inventory corresponding to each of the operation stages.
The instruction module is configured to store a carbon dioxide emission calculation formula and carbon dioxide emission factors of different substances.
The accounting module is configured to retrieve the carbon emission calculation formula and the carbon emission factors of different substances in the instruction module, in response to the operation stages and an input inventory in the information module inputted by a user, and to obtain carbon emission results of different operation stages.
The analysis module is configured to compare the carbon emission results obtained by the accounting module with a pre-stored standard carbon emission to obtain a comparison result.
In this example, the carbon emission calculation formula is:
In this example, the operation stages include one or more selected from a group consisting of pretreatment, leaching extraction, precursor preparation, and cathode material preparation.
In this example, the input inventory includes one or more selected from a group consisting of raw materials, products, by-products, waste gas, waste residue, and energy involved in each of the operation stages.
In this example, the input inventory includes, but is not limited to, the following inputs: decommissioned battery (waste lithium ion battery, waste battery, waste ternary positive scrap, etc.), electricity power, water, fuel (diesel, gasoline, liquefied petroleum gas, heavy fuel oil, light fuel oil, natural gas, propane, etc.); valuable metals (nickel, cobalt, manganese, lithium, iron, copper, aluminum, etc.), precursors, cathode materials, lye, acid, sodium carbonate, sodium hydroxide, sodium chlorate, manganese carbonate, sponge copper, sodium sulfate, graphite, waste residue (carbon black slag, iron alum slag, calcium slag, etc.), waste water, steam, extractant, etc.
In this example, the information module includes a storage unit, where the storage unit is configured to store a standard carbon emission according to a carbon emission policy promulgated by a state.
The carbon emission assessment system for recycling of decommissioned battery of the present disclosure is used to assess the carbon emission of preparing nickel cobalt manganese hydroxide and lithium nickel cobalt manganate cathode material by recycling waste lithium ion battery.
During the recycling, the operation stages carried out include: pretreatment (dissembling-pyrolysis-crushing), leaching extraction (acid leaching-copper removal-iron and aluminum removal-impurities removal of extraction), and precursors preparation (mixing materials-aging with alkali-pressure filtration, washing and drying-wastewater deamination-water reuse), synthesis of cathode materials (mixing-calcination-secondary mixing-secondary calcination-packaging). Th input inventories corresponding to each of the operation stages includes the examples of inventories in
An accounting module is applied to select a carbon emission calculation formula and carbon emission factors of different substances to perform a carbon emission accounting, in response to the above-mentioned operation stages and input inventory inputted by a user.
After the accounting is completed, the carbon emissions of the different operation stages and the overall recycling process are displayed; the carbon emissions are compared with a pre-stored standard carbon emission, to obtain a comparison result.
In this example, the display mode of the comparison result includes, but is not limited to, a comparison table and a comparison chart.
Referring to
In this example, the ranking can be carried out based on a carbon emission, a ratio of the carbon emission to the total weight of the inventory, and so on.
Further, the carbon assessment emissions of the operation stages can be ranked by multiple sorting methods and each of the sorting methods is assigned a weight respectively. Then each of the ranking result obtained by the sorting methods is given a score, thereby a comprehensive score is obtained based on the score and a corresponding weight of the sorting methods. The operation stage with the highest comprehensive score is regarded as an operation stage to be optimized.
In this example, the carbon emission assessment system further includes a second optimization module, which is configured to perform a main contribution factor analysis according to an input inventory corresponding to the operation stage to be optimized, and to determine an optimization direction of the operation stage to be optimized.
In this example, the main contribution factor analysis can be carried out by methods such as SPSS statistical analysis method, logarithmic average weight decomposition method, partial least square method and other methods, which determines a contribution of different input inventories to carbon emissions. The input inventory having the largest contribution is an actual optimization direction of the operation stage to be optimized.
Further, according to the characteristics of the actual optimization direction, an optimization is carried out by strengthening technological innovation, implementing clean production, and choosing different optimized operations, such as using alternative low-carbon processes or raw materials, alternative clean energy/new energy/renewable energy, etc.
In this example, the carbon emission system further includes a display module, which is configured to display the comparison result obtained by the analysis module, the operation stage to be optimized determined by the first optimization module and the optimization direction determined by the second optimization module to the user.
In summary, the examples of the present disclosure provide a carbon emission assessment system for recycling of decommissioned battery, which has the following beneficial effects:
(1) A scientific and standardized carbon emission assessment can be carried out on the recycling of decommissioned battery, and a comparison result can be obtained by comparing the carbon emission results with a pre-stored standard carbon emission, so that a relevant company personnel can optimize the carbon emission during the recycling process of decommissioned battery according to the comparison results.
(2) By establishing a carbon emission assessment system for recycling of decommissioned battery, relevant companies only need to input production-related data and information, select a calculation instruction in the instruction module, and then the emission assessment system can quickly and easily obtain a carbon emission accounting data. A comparison of carbon emissions in different boundary ranges is presented through the analysis module, which can guide a research and development group to conduct energy-saving and emission-reduction low-carbon operation research for the processes with high carbon emissions, thereby gradually reducing carbon emissions, accelerating low-carbon transformation of enterprises, and contributing to achieve carbon peaking and carbon neutrality.
(3) The present disclosure has strong pertinence and high accuracy. It can quickly process the energy and greenhouse gas emission data of enterprises for recycling decommissioned battery, which is helpful for the work of the carbon management personnel of companies, reduces errors. It meets the need of a further low-carbon management, which in turn provides support for the industry's energy and carbon emission planning.
The above are only the preferred embodiments of the present disclosure. It should be noted that for those of ordinary skill in the art, without departing from the technical principles of the present disclosure, several improvements and substitutions can be made. These improvements and substitutions should also be regarded as being within the protection scope of the present disclosure.
Number | Date | Country | Kind |
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202111267063.X | Oct 2021 | CN | national |
Filing Document | Filing Date | Country | Kind |
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PCT/CN2022/111808 | 8/11/2022 | WO |