A method for predicting and planning the use of carbon dioxide emissions

Abstract

This invention provides a method for predicting and planning carbon dioxide emissions, belonging to the field of carbon emission technology. The method includes the following steps: determining the carbon dioxide statistical area and the regional carbon dioxide emission planning target; predicting carbon dioxide emissions based on regional economic data; determining the amount of collectable carbon dioxide within the area and its regional distribution map; establishing a carbon dioxide consumption system within the area; statistically analyzing the actual absorption of the carbon dioxide consumption system; and determining whether the actual absorption of the carbon dioxide consumption system meets the regional carbon dioxide emission planning target. By predicting the amount of carbon dioxide emitted within the area in advance based on economic planning data, and then making advance plans and establishing a carbon dioxide consumption system, it is possible to consume carbon dioxide in real time later. Simultaneously, the consumption of the carbon dioxide consumption system can improve economic data, has a very low practical cost, meets the requirements of economic efficiency, and can be widely promoted.

Description

Technical Field

[0001] This invention relates to the field of carbon emission technology, and in particular to a method for predicting and planning the use of carbon dioxide emissions. Background Technology

[0002] Carbon emissions refer to the average amount of greenhouse gas emissions generated during the production, transportation, use, and recycling of a product. Dynamic carbon emissions, on the other hand, refer to the cumulative amount of greenhouse gases emitted per unit of goods; different batches of the same product may have different dynamic carbon emissions.

[0003] Low carbon refers to lower carbon dioxide emissions. Saving water, electricity, fuel, and gas are the low-carbon lifestyles we advocate. In recent years, global warming has become one of the most recognized crises facing the Earth, and greenhouse gas (carbon dioxide) emissions are generally considered the primary cause of global warming. Therefore, it is necessary to predict and statistically analyze urban carbon dioxide emissions in advance, and then use appropriate methods for recycling or reuse to ensure that carbon dioxide emissions meet emission standards. Summary of the Invention

[0004] The purpose of this invention is to provide a method for predicting and planning the use of carbon dioxide emissions, thereby solving the technical problem that existing carbon dioxide emissions fail to meet relevant emission standards.

[0005] Complete absorption or recycling of carbon dioxide is still very difficult and costly, often resulting in losses. Therefore, it is necessary to design a comprehensive treatment method that predicts and calculates the amount of carbon dioxide emissions in advance, and then uses low-cost and quick methods to rationally plan the way carbon dioxide is emitted or used, so that the total amount of carbon dioxide emissions meets the carbon emission requirements.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] A method for predicting and planning the use of carbon dioxide emissions, the method comprising the following steps:

[0008] Step 1: Determine the carbon dioxide statistical area and the regional carbon dioxide emission planning target;

[0009] Step 2: Predict carbon dioxide emissions based on regional economic data;

[0010] Step 3: Determine the amount of collectable carbon dioxide within the region and its distribution map;

[0011] Step 4: Establish a regional carbon dioxide consumption system;

[0012] Step 5: Calculate the actual amount of carbon dioxide absorbed by the carbon dioxide consumption system;

[0013] Step 6: Determine whether the actual absorption capacity of the carbon dioxide consumption system meets the regional carbon dioxide emission planning target. If it does not meet the standard, return to Step 4 to re-plan and establish a new regional carbon dioxide consumption system. If it meets the standard, proceed to the next step.

[0014] Step 7: Connect the carbon dioxide consumption system to the carbon dioxide emission unit for emission.

[0015] Furthermore, the specific process of step 1 is to set the scope of the urban area to be statistically analyzed, draw the boundary of the specific statistical area on the map, and set the carbon dioxide emission amount that meets the relevant standards for the area. The carbon dioxide emission amount is calculated on an annual or quarterly basis, and the emission amount is the amount of carbon dioxide that is released into the atmosphere after being absorbed or used by the carbon dioxide consumption system.

[0016] Furthermore, the specific process of step 2 is as follows:

[0017] Step 2.1: Obtain energy consumption and product data and economic data for the designated region;

[0018] Step 2.2: Decompose the energy consumption product data and economic data of different sectors in different regions;

[0019] Step 2.3: Establish energy consumption model and economic data model;

[0020] Step 2.4: Input the planned economy data into the economic data model to obtain the economic distribution and energy corresponding data, and then input the energy corresponding data into the energy consumption model to obtain the carbon dioxide emissions.

[0021] Further, the specific process of step 2.1 is to obtain energy input data for each time period in the designated area. The energy input data includes the amount of oil, coal, natural gas and special energy that can produce carbon dioxide. The economic data is the GDP data for the designated area in the designated time period.

[0022] Furthermore, the specific process of step 2.2 is to allocate energy input data to each economic production sector, determine the pollution coefficient and pollution type of each sector, and use the initial quantitative economic data of the sector as the decomposed economic data.

[0023] Furthermore, the specific process of establishing the economic data model in step 2.3 is as follows:

[0024] The economic data model is as follows:

[0025]

[0026] in, This refers to the initial economic target data for the region, and a higher value is better. Represent the economic objective function for each of the m sectors;

[0027] To ensure that each economic objective function is the same as or exceeds the preset objective function value, the economic objective function is influenced by the departmental pollution discharge objective function. The sewage discharge data value is less than Target value;

[0028] The specific process of establishing an energy consumption model is as follows:

[0029] The energy consumption model is as follows:

[0030]

[0031] in, Total energy consumption and pollution discharge data Let m be the objective function for pollution discharge from m departments. As an intermediate region quantity The value can be taken from m-dimensional real space ;

[0032] The specific definition of the department's pollution discharge objective function is as follows:

[0033]

[0034] in, The types of pollutants are indicated as carbon dioxide, sulfur dioxide, and nitrogen oxides. This is the discharge coefficient. Indicates time, This refers to each industry within the department. This indicates the energy consumption of a department.

[0035] Further, the specific process of step 3 is as follows: On the map of the designated area, mark the carbon dioxide emissions that reach the set value and the emission units that can be collected on the map of the area, and mark the amount of emissions to obtain a set map of regional distribution.

[0036] Further, the specific process of step 4 is as follows: The carbon dioxide consumption system includes a collection pipeline unit, an intermediate carbon dioxide storage unit, a greenhouse carbon dioxide consumption unit, a beverage factory carbon dioxide usage unit, and a suburban forest energy consumption and emission unit. The carbon dioxide emission unit is connected to the intermediate carbon dioxide storage unit through the collection pipeline unit. The intermediate carbon dioxide storage unit is connected to the greenhouse carbon dioxide consumption unit, the beverage factory carbon dioxide usage unit, and the suburban forest energy consumption and emission unit through pipelines respectively. At night or during the night, the intermediate carbon dioxide storage unit is used to store carbon dioxide except for that consumed by the beverage factory carbon dioxide usage unit. During the day, it is turned on to the greenhouse carbon dioxide consumption unit and the suburban forest energy consumption and emission unit.

[0037] The greenhouse carbon dioxide consumption unit is equipped with a light detection module, a greenhouse air carbon dioxide concentration detection module, a plant image recognition module, a carbon dioxide absorption prediction module, and a carbon dioxide switch module. The light detection module, greenhouse air carbon dioxide concentration detection module, plant image recognition module, and carbon dioxide switch module are all connected to the carbon dioxide absorption prediction module. The light detection module is used to detect the light data of the greenhouse, the greenhouse air carbon dioxide concentration detection module is used to detect the carbon dioxide concentration, the plant image recognition module is used to identify the growth data of the plants in the greenhouse, and the carbon dioxide absorption prediction module predicts the amount of carbon dioxide consumed by the plants during the day based on the light data, the carbon dioxide concentration data in the air, and the plant growth data. Then, the carbon dioxide absorption prediction module controls the carbon dioxide switch module to release the amount of carbon dioxide consumed by the plants during the day.

[0038] The suburban forest energy consumption and emission unit includes forest air carbon dioxide concentration, forest carbon dioxide emission switch, forest emission control module, and carbon dioxide absorbing plants. The carbon dioxide absorbing plants are stratified plants, including shrub layer, tree layer, and herb layer. The forest air carbon dioxide concentration is detected by measuring the carbon dioxide concentration in the tree layer, and the forest carbon dioxide emission switch is located above the herb layer.

[0039] Furthermore, the specific process of step 5 is as follows: actual absorption amount = absorption amount of carbon dioxide consumed by greenhouse unit + consumption amount of carbon dioxide used by beverage factory unit + energy consumption and emission unit of suburban forest * absorption rate, with an absorption rate of 30-45%.

[0040] Further, the specific process of step 6 is as follows: subtract the actual absorption of the carbon dioxide consumption system from the predicted carbon dioxide emissions to obtain the actual emissions. Check whether the actual emissions are less than the regional carbon dioxide emission planning target value in step 1. If they are not less than the target value, increase the number of carbon dioxide consumption units in the greenhouse in the carbon dioxide consumption system until the actual emissions are less than the regional carbon dioxide emission planning target value in step 1.

[0041] The present invention, by adopting the above-described technical solution, has the following beneficial effects:

[0042] This invention predicts the amount of carbon dioxide emitted in a region in advance based on economic planning data, then plans ahead and establishes a carbon dioxide consumption system. This allows for real-time consumption of carbon dioxide, while also improving economic data. The system is very low in cost, meets economic efficiency requirements, and can be widely promoted. Furthermore, the system is improved based on whether the emissions after the actual amount of carbon dioxide consumed meets emission standards. This method features advance prediction, pre-set absorption, low cost, unlimited service life, and meets the requirements for carbon neutrality. Attached Figure Description

[0043] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and preferred embodiments. However, it should be noted that many details listed in the specification are merely to provide the reader with a thorough understanding of one or more aspects of the present invention, and these aspects of the invention can be implemented even without these specific details.

[0045] like Figure 1 As shown, a method for predicting and planning the use of carbon dioxide emissions includes the following steps:

[0046] Step 1: Determine the carbon dioxide statistical area and regional carbon dioxide emission planning targets. Define the urban area to be statistically analyzed by drawing the boundary of the specific statistical area on a map. Set the carbon dioxide emission limits for this area that meet relevant standards. Carbon dioxide emissions are calculated annually or quarterly, representing the amount released into the atmosphere after carbon dioxide is absorbed or used by the carbon dioxide consumption system. For example, using Xi'an as a research subject, inland cities are generally chosen as the research focus because coastal cities have wider sea areas and stronger sea winds, making research more difficult.

[0047] Step 2: Predict carbon dioxide emissions based on regional economic data.

[0048] Step 2.1: Obtain energy consumption and product data and economic data for the designated region. Obtain energy input data for the designated region for each time period. Energy input data includes the amount of oil, coal, natural gas, and special energy sources that can produce carbon dioxide. Economic data is the GDP data for the designated region during the time period.

[0049] Step 2.2: Decompose the energy consumption and product data and economic data of different sectors in different regions. Allocate the energy input data to each economic production sector, and determine the pollution coefficient and pollution type for each sector. Use the initial quantitative sectoral economic data as the decomposed economic data.

[0050] Step 2.3: Establish the energy consumption model and economic data model. The specific process for establishing the economic data model is as follows:

[0051] The economic data model is as follows:

[0052]

[0053] in, This refers to the initial economic target data for the region, and a higher value is better. Represent the economic objective function for each of the m sectors;

[0054] To ensure that each economic objective function is the same as or exceeds the preset objective function value, the economic objective function is influenced by the departmental pollution discharge objective function. The sewage discharge data value is less than Target value;

[0055] The specific process of establishing an energy consumption model is as follows:

[0056] The energy consumption model is as follows:

[0057]

[0058] in, Total energy consumption and pollution discharge data Let m be the objective function for pollution discharge from m departments. As an intermediate region quantity The value can be taken from m-dimensional real space ;

[0059] The specific definition of the department's pollution discharge objective function is as follows:

[0060]

[0061] in, The types of pollutants are indicated as carbon dioxide, sulfur dioxide, and nitrogen oxides. This is the discharge coefficient. Indicates time, This refers to each industry within the department. This indicates the energy consumption of a department.

[0062] Step 2.4: Input the planned economy data into the economic data model to obtain the economic distribution and energy corresponding data, and then input the energy corresponding data into the energy consumption model to obtain the carbon dioxide emissions.

[0063] Step 3: Determine the amount of collectable carbon dioxide within the region and create a regional distribution map. On the map of the designated region, mark the carbon dioxide emissions that reach the set value and the emission units that can be collected, and indicate the amount of emissions to obtain a regional distribution map.

[0064] Step 4: Establish a carbon dioxide consumption system within the region. This system includes a collection pipeline unit, an intermediate carbon dioxide storage unit, a greenhouse carbon dioxide consumption unit, a beverage factory carbon dioxide usage unit, and a suburban forest energy consumption and emission unit. The carbon dioxide emission units are connected to the intermediate carbon dioxide storage unit via the collection pipeline unit. The intermediate carbon dioxide storage unit is then connected via pipelines to the greenhouse carbon dioxide consumption unit, the beverage factory carbon dioxide usage unit, and the suburban forest energy consumption and emission unit. At night or during the evening hours, the intermediate carbon dioxide storage unit stores carbon dioxide except for that consumed by the beverage factory carbon dioxide usage unit. During the day, the system is then switched to the greenhouse carbon dioxide consumption unit and the suburban forest energy consumption and emission unit.

[0065] The greenhouse carbon dioxide consumption unit is equipped with a light detection module, a greenhouse air carbon dioxide concentration detection module, a plant image recognition module, a carbon dioxide absorption prediction module, and a carbon dioxide switch module. The light detection module, greenhouse air carbon dioxide concentration detection module, plant image recognition module, and carbon dioxide switch module are all connected to the carbon dioxide absorption prediction module. The light detection module is used to detect the light data of the greenhouse, the greenhouse air carbon dioxide concentration detection module is used to detect the carbon dioxide concentration, the plant image recognition module is used to identify the growth data of the plants in the greenhouse, and the carbon dioxide absorption prediction module predicts the amount of carbon dioxide consumed by the plants during the day based on the light data, the carbon dioxide concentration data in the air, and the plant growth data. Then, the carbon dioxide absorption prediction module controls the carbon dioxide switch module to release the amount of carbon dioxide consumed by the plants during the day.

[0066] The suburban forest energy consumption and emission unit includes forest air carbon dioxide concentration, forest carbon dioxide emission switch, forest emission control module, and carbon dioxide absorbing plants. The carbon dioxide absorbing plants are stratified plants, including shrub layer, tree layer, and herb layer. The forest air carbon dioxide concentration is detected by measuring the carbon dioxide concentration in the tree layer, and the forest carbon dioxide emission switch is located above the herb layer.

[0067] Step 5: Calculate the actual absorption of the carbon dioxide consumption system. Actual absorption = Carbon dioxide absorption by greenhouse units + Carbon dioxide consumption by beverage factories + Energy emission from suburban forest units * Absorption rate, which is 30-45%. The absorption rate represents the amount of carbon dioxide absorbed by one hectare of plants; these are ideal values ​​and do not include the amount of carbon dioxide originally present in the outside air.

[0068] Step 6: Determine whether the actual absorption capacity of the carbon dioxide consumption system meets the regional carbon dioxide emission planning target. If it does not meet the standard, return to Step 4 to re-plan and establish a new regional carbon dioxide consumption system. If it meets the standard, proceed to the next step. Subtract the actual absorption capacity of the carbon dioxide consumption system from the predicted carbon dioxide emissions to obtain the actual emissions. Check whether the actual emissions are less than the regional carbon dioxide emission planning target value in Step 1. If not, increase the number of carbon dioxide consumption units in the carbon dioxide consumption system until the actual emissions are less than the regional carbon dioxide emission planning target value in Step 1.

[0069] Step 7: Connect the carbon dioxide consumption system to the carbon dioxide emitting unit for emission. Depending on the density of the carbon dioxide emitting unit, multiple carbon dioxide consumption systems can be set up. Each system has a reserved output interface for future upgrades, such as adding greenhouse carbon dioxide consumption units. Since greenhouse carbon dioxide consumption units are relatively easy to add, setting up greenhouse carbon dioxide consumption units is the easiest and quickest way to improve and increase economic benefits, and it is also relatively easy and convenient to implement.

[0070] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for predicting and planning the use of carbon dioxide emissions, characterized in that: The method includes the following steps: Step 1: Determine the carbon dioxide statistical area and the regional carbon dioxide emission planning target; Step 2: Predict carbon dioxide emissions based on regional economic data; Step 3: Determine the amount of collectable carbon dioxide within the region and its distribution map; Step 4: Establish a regional carbon dioxide consumption system; Step 5: Calculate the actual amount of carbon dioxide absorbed by the carbon dioxide consumption system; Step 6: Determine whether the actual absorption capacity of the carbon dioxide consumption system meets the regional carbon dioxide emission planning target. If it does not meet the standard, return to Step 4 to re-plan and establish a new regional carbon dioxide consumption system. If it does meet the standard, proceed to the next step. Step 7: Connect the carbon dioxide consumption system to the carbon dioxide emission unit for emission; the specific process of Step 1 is to set the urban area to be statistically analyzed, draw the boundary of the specific statistical area on the map, and set the carbon dioxide emission amount that meets the relevant standards for the area. The carbon dioxide emission amount is calculated on an annual or quarterly basis, and the emission amount is the amount released into the atmosphere after the carbon dioxide is absorbed or used by the carbon dioxide consumption system; the specific process of Step 2 is as follows: Step 2.1: Obtain energy consumption and product data and economic data for the designated region; Step 2.2: Decompose the energy consumption product data and economic data of different sectors in different regions; Step 2.3: Establish energy consumption model and economic data model; Step 2.4: Input the planned economy data into the economic data model to obtain the economic distribution and energy correspondence data, and then input the energy correspondence data into the energy consumption model to obtain carbon dioxide emissions; The specific process of Step 2.1 is to obtain the energy input data for each time period in the designated region. The energy input data includes the amount of oil, coal, and natural gas entering the region, as well as the amount of special energy that can produce carbon dioxide. The economic data is the GDP data for the designated region within the time period; The specific process of Step 2.2 is to allocate the energy input data to each economic production sector, and at the same time determine the pollution coefficient and pollution type of each sector, using the initial quantitative sector economic data as the decomposed economic data; The specific process of establishing the economic data model in Step 2.3 is as follows: The economic data model is as follows: ； in, This refers to the initial economic target data for the region, and a higher value is better. Represent the economic objective function for each of the m sectors; To ensure that each economic objective function is the same as or exceeds the preset objective function value, the economic objective function is influenced by the departmental pollution discharge objective function. The sewage discharge data value is less than Target value; The specific process of establishing an energy consumption model is as follows: The energy consumption model is as follows: ； in, Total energy consumption and pollution discharge data Let m be the objective function for pollution discharge from m departments. As an intermediate region quantity The value can be taken from m-dimensional real space ; The specific definition of the department's pollution discharge objective function is as follows: ； in, The types of pollutants are indicated as carbon dioxide, sulfur dioxide, and nitrogen oxides. This is the discharge coefficient. Indicates time, This refers to each industry within the department. This indicates the energy consumption of a department.

2. The method for predicting and planning the use of carbon dioxide emissions according to claim 1, characterized in that: The specific process of step 3 is as follows: On the map of the designated area, mark the carbon dioxide emissions that reach the set value and the emission units that can be collected on the map of the area, and mark the amount of emissions to obtain a set map of regional distribution.

3. The method for predicting and planning the use of carbon dioxide emissions according to claim 1, characterized in that: The specific process of step 5 is as follows: actual absorption amount = absorption amount of carbon dioxide consumed by greenhouse unit + consumption amount of carbon dioxide used by beverage factory unit + energy consumption and emission unit of suburban forest * absorption rate, with an absorption rate of 30-45%.

4. The method for predicting and planning the use of carbon dioxide emissions according to claim 1, characterized in that: The specific process of step 6 is as follows: subtract the actual absorption of the carbon dioxide consumption system from the predicted carbon dioxide emissions to obtain the actual emissions. Check whether the actual emissions are less than the regional carbon dioxide emission planning target value in step 1. If they are not less than the target value, increase the number of carbon dioxide consumption units in the greenhouse in the carbon dioxide consumption system until the actual emissions are less than the regional carbon dioxide emission planning target value in step 1.

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