A Carbon Emission Calculation Method for a Low-Carbon Sewage Treatment Process

Abstract

The present invention relates to the technical field of sewage treatment, and in particular to a method for calculating carbon emissions of a low-carbon sewage treatment process. The process to be measured is selected, and its energy and material exchange boundaries are determined; the carbon trace factor CF of the process to be measured is k Sort and obtain the carbon trace factor input matrix A and the carbon trace factor output matrix B; for each carbon trace factor CF k Carbon equivalent CO2e k Calibration and carbon equivalent CO2e k Sort and get the carbon equivalent input matrix C T and the carbon equivalent output matrix D T ; Carbon trace factor CF k Classify input factors and output factors, and calculate the carbon consumption CI of each input factor i and the output factor carbon carrying capacity CO j ; Calculate the total input TCI, total output TCO, net reduction in energy consumption carbon factor of new energy #imgabs0# and net reduction in gaseous CO2 equivalent #imgabs1#According to TCI and TCO, calculate the net increase in carbon sink CO2 Δ1 and the net reduction in carbon factor Δ2, #imgabs2#This method can measure the carbon emissions of sewage treatment processes, which is beneficial to the optimization and management of low-carbon sewage treatment processes.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and particularly relates to a method for calculating carbon emissions of a low-carbon sewage treatment process. Background Art

[0002] As an important technical means for environmental water resource restoration, sewage treatment plays an irreplaceable role in the sustainable development of society. With the increasing urgency of the requirements for low-carbon and sustainable development in the whole society, the existing technologies can no longer meet the needs.

[0003] The following characteristics have been found in the study of carbon tracing of traditional activated sludge method for sewage treatment:

[0004] 1. From the perspective of the process path, the raw sewage contains polluted carbon sources. After biological treatment, the carbon sources are degraded and the residual carbon is discharged up to standard.

[0005] 2. The sewage releases substances such as CO2 and sludge along the process path.

[0006] 3. The sewage absorbs electric energy, consumes labor, and supplements carbon sources during degradation.

[0007] Therefore, several problems exist:

[0008] First, the existing sewage treatment systems only focus on water-soluble and water-suspended pollutants, and do not pay attention to the control of pollutants discharged from this system, especially the problem of unorganized emission of CO2 from each biological unit.

[0009] Second, according to the statistics of the local sewage treatment upgrading projects across the country, there are a large number of cases of adding carbon sources (such as adding methanol, ethanol, acetic acid, sodium acetate, glucose, etc.) to increase the BOD5 in water to achieve the purpose of degrading TN; this leads to artificial pollution of water sources, increases power consumption, material consumption, and sludge production costs, and inevitably increases CO2 emissions.

[0010] Third, when existing water treatment plants apply new energy, it is found that the utilization rate is low or the feasibility is poor. This is mainly because the power generation per unit area, power generation efficiency, power generation density, and power quality do not match the on-site electricity consumption characteristics and requirements, resulting in low overall investment efficiency and limited enthusiasm for promotion; for example, the electricity loads of fans and water pumps in traditional sewage treatment plants are concentrated, the power density requirements are high, and more investments are required for power inversion and energy storage equipment, which is not conducive to carbon reduction and emission reduction. Therefore, a method that can solve the calculation of carbon reduction and carbon aggregation to comprehensively compare and make decisions on solutions is needed to accurately evaluate the process feasibility.

[0011] Fourth, the existing design standards for sewage treatment plants cannot meet the requirements of energy conservation and carbon reduction under the new situation, and cannot conduct a comprehensive value engineering evaluation of sewage treatment plants under the new situation. It lacks the evaluation of energy conservation and carbon reduction factors. Therefore, the missing parts are: the assessment of greenhouse gas emissions in the degradation of sewage treatment by the original design; the optimization and comparison of new energy-saving and carbon-reducing processes.

[0012] Based on the above problems, a measurement method is needed that can quantify the carbon emissions of each link in a low-carbon sewage treatment plant, track the carbon cycle during the operation process, and conduct carbon emission measurement, thereby facilitating the optimization and management of low-carbon sewage treatment processes. Summary of the Invention

[0013] The purpose of the present invention is to address the deficiencies of the existing technology and provide a method for measuring carbon emissions of a low-carbon sewage treatment process, which can measure the carbon emissions of the sewage treatment process and is conducive to the optimization and management of low-carbon sewage treatment processes.

[0014] The present invention provides a method for measuring carbon emissions of a low-carbon sewage treatment process, including:

[0015] Select the process to be measured and determine the exchange boundaries of its energy and substances. The boundary is from the sewage inlet to the sewage outlet.

[0016] According to the boundary, sort the carbon trace factor CF k exchanged between the process to be measured and the outside world to obtain a carbon trace factor input matrix A and a carbon trace factor output matrix B.

[0017] For each carbon trace factor CF k conduct carbon equivalent CO2e k calibration, and sort the carbon equivalent CO2e k one-to-one according to the carbon trace factor CF k to obtain a carbon equivalent input matrix C T and a carbon equivalent output matrix D T ;

[0018] For the carbon trace factor CF k classify according to the input factor and output factor, and calculate the consumption CI i of each input factor and the consumption CO j of each output factor;

[0019] Calculate the total input TCI, total output TCO, the net reduction of energy consumption carbon factors for new energy sources such as solar energy and the net reduction equivalent of gaseous CO2

[0020] Calculate the net increase Δ1 of carbon sink CO2 according to TCI and TCO, and calculate the net reduction Δ2 of carbon factors according to and Δ1,

[0021] More preferably, it also includes evaluating the process to be measured, and the evaluation includes:

[0022] If Δ1 = 0, the carbon cycle of the process to be measured is in balance;

[0023] If Δ1 is positive, the carbon emissions of the process to be measured decrease;

[0024] If Δ1 is negative, the carbon emissions of the process to be measured increase;

[0025] If Δ2 = 0, the net reduction equivalent of the process to be measured is in balance;

[0026] If Δ2 is positive, the net reduction equivalent of the process to be measured increases;

[0027] If Δ2 is negative, the net reduction equivalent of the process to be measured decreases;

[0028] Among them, when Δ1 ≥ 0 or Δ2 ≤ 0, the carbon emissions of the process to be measured need to be optimized.

[0029] More preferably, when Δ1 ≥ 0, optimizing the carbon emissions of the measurement process includes:

[0030] Priority is given to selecting the one with the highest weight among the input factors and / or output factors for optimization;

[0031] When the weight of electric energy among the input factors is the highest, it is optimized by increasing the solar energy utilization rate or the total installed power;

[0032] When the weight of the output gaseous CO2 among the output factors is the highest, it is optimized by increasing the collection system.

[0033] More preferably, when Δ2 ≤ 0, optimizing the carbon emissions of the measurement process includes:

[0034] Increase the input of auxiliary new energy;

[0035] Increase the CO2 fixation amount of algae.

[0036] More preferably, it also includes calculating the value engineering coefficient V of the process to be measured, and the

[0037] Among them, ΔW is the increase in input energy consumption of the process to be measured compared with the existing process, and C is the average amount of energy input reduced per unit of social emission reduction.

[0038] More preferably, it also includes selecting the optimal process from multiple processes, including:

[0039] Calculating Δ1 and Δ2 for each process;

[0040] Taking the existing process as a benchmark, calculate the value engineering coefficient V of each process;

[0041] If among multiple processes, there is a process with the highest Δ2, then take this process as the optimal process;

[0042] If among multiple processes, there are m processes with the highest Δ2, then further compare the V values of the m processes, and take the process with the V value closest to 1 among the m processes as the optimal process;

[0043] If among multiple processes, there are m processes with the highest Δ2, and among the m processes, there are n processes with the V value closest to 1, then take the process with the smallest Δ1 among the n processes as the optimal process;

[0044] Wherein, both m and n are natural numbers not less than 2.

[0045] More preferably, it further includes

[0046] Sort in descending order according to the consumption of input factors to obtain the sequence S;

[0047] Sort in descending order according to the consumption of output factors to obtain the sequence P;

[0048] When optimizing Δ2, according to the sorting of the sequences S and P, successively select input factors / output factors for optimization adjustment;

[0049] The said optimization adjustment includes increasing or decreasing the selected input factor / output factor by different amplitudes, and substituting the adjusted input factor / output factor into the calculation formula of Δ2 to calculate the new Δ2.

[0050] Draw a relationship diagram of the influencing factor and Δ2, the relationship diagram includes multiple influencing factor - Δ2 curves, and each influencing factor - Δ2 curve is obtained by fitting the corresponding relationship between Δ2 after increasing or decreasing the amplitude of an input factor / output factor by different amplitudes.

[0051] More preferably, the carbon trace factor input matrix A and the carbon trace factor output matrix B are respectively:

[0052]

[0053]

[0054] Among them, I.1 is the input water source containing pollution factor CF1, I.2 is the input energy power CF2, I.3 is the input air source CF3, I.4 is the input labor force CF4, I.5 is the input new energy CF5, O.1 is the output waste gas source CF6, O.2 is the output sludge pollution source CF7, O.3 is the output algae pollution source CF8, O.4 is the output water source containing pollution factor CF9, x I.1 is the input quantity of I.1, is the input quantity of I.2, x I.3 is the input quantity of I.3, is the input quantity of I.4, is the input quantity of I.5, x 0.1 is the output quantity of O.1, is the output quantity of O.2, is the output quantity of O.3, x 0.4 is the output quantity of O.4;

[0055] Carbon equivalent input matrix C T and carbon equivalent output matrix D T are respectively:

[0056] C T =(CO2e I.1 , CO2e I.2 , CO2e I.3 , CO2e I.4 , CO2e I.5 );

[0057] D T =(CO2e 0.1 , CO2e 0.2 , CO2e 0.3 , CO2e 0.4 );

[0058] Among them, CO2e I.1 ~CO2e I.5 are respectively the CO2 pollution factor equivalents corresponding to CF1~CF5, and CO2e 0.1 ~CO2e 0.4 are respectively the CO2 pollution factor equivalents corresponding to CF6~CF9.

[0059] More preferably, the calculation of the net reduction equivalent of gaseous CO2 ΔG CO2 includes:

[0060] ΔG CO2 =x I.3 CO2e I.3 -x 0.1 CO2e 0.1 ;

[0061] x 0.1 CO2e 0.1 = k1(x I.1 CO2e I.1 - x 0.4 CO2e 0.4 ) - k2ρ∑CO2e;

[0062] Wherein, k1 is the coefficient of gaseous CO2 produced by biodegradation of COD, k2 is the carbon sequestration coefficient of the current process, ∑CO2e is the total standard cubic volume of gaseous CO2 input in the current process, and ρ is the air density under standard conditions;

[0063] Preferably, the net reduction ΔE of the carbon consumption factor of the new energy CO2 is calculated as follows:

[0064]

[0065] Wherein, is the carbon emission equivalent per hour for accessing the commercial power grid, CO2e I.2 is the comprehensive carbon emission equivalent of the commercial power grid, is the comprehensive carbon emission equivalent per hour for accessing new energy such as solar energy.

[0066] The beneficial effects of the present invention are as follows:

[0067] 1. By introducing the carbon equivalent accounting method, it corrects the deviation of the past assessment that only focuses on water quality degradation management and lacks the consideration of energy and emission reduction factors, further compresses the degree of freedom of the past broad design management, and improves the design selection requirements. This method adopts the method of evaluating the difference in carbon equivalent between input and output, avoiding the cumbersome procedures of absolute measurement, strictly defining the system boundary, clearly determining the calculation of carbon emission increment, and revealing the essence of carbon increase and carbon cycle. This method can calculate the carbon emissions of the sewage treatment process, which is beneficial to the optimization and management of low-carbon sewage treatment processes.

[0068] 2. By calculating Δ1 and Δ2, this method can evaluate the advantages and disadvantages of the process and optimize it from the input end and the output end, enabling the process to achieve the best design goal.

[0069] 3. By comparing multiple processes through Δ1, Δ2 and V, this method can select the optimal process from multiple processes, further enabling the new process to achieve the best design goal. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 is a schematic flow chart of a method for calculating carbon emissions of a low-carbon sewage treatment process of the present invention;

[0071] Figure 2 is the carbon trace decomposition diagram of Example 2;

[0072] Figure 3 It is the carbon trace decomposition diagram of Embodiment 3. Specific implementation manners

[0073] In order to make the technical problems, technical solutions and beneficial effects to be solved by this application more clear, the following further details this application in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0074] It should be noted that when an element is referred to as being "fixed to" or "disposed on" another element, it can be directly on the other element or indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or indirectly connected to the other element.

[0075] It should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings. It is only for the convenience of describing this application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to this application.

[0076] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of this application, "a plurality of" means two or more unless otherwise specifically defined.

[0077] Embodiment 1

[0078] Figure 1 shows a schematic flow chart of a carbon emission measurement method for a low-carbon sewage treatment process provided by a preferred embodiment of this application ( Figure 1 shows the first embodiment of this application). For the convenience of description, only the parts related to this embodiment are shown and are described in detail as follows:

[0079] The present invention provides a carbon emission measurement method for a low-carbon sewage treatment process, including:

[0080] Step 1, select the process to be measured and determine the exchange boundaries of its energy and substances, and the boundary is from the sewage inlet to the sewage outlet;

[0081] Step 2, according to the boundary, measure the carbon trace factor CF exchanged between the process to be measured and the outside kPerform sorting to obtain the carbon trace factor input matrix A and the carbon trace factor output matrix B;

[0082] Step 3: For each carbon trace factor CF k (such as carbon source, air source, and electric energy), conduct carbon equivalent CO2e k calibration, and perform sorting on the carbon equivalent CO2e k to obtain the carbon equivalent input matrix C T and the carbon equivalent output matrix D T ;

[0083] Step 4: Classify the input factors and output factors of the carbon trace factor CF k and calculate the consumption CI i of each input factor and the consumption CO j of the output factor;

[0084] Step 5: Calculate the total input TCI, the total output TCO, the net reduction of the energy consumption carbon factor of new energy and the net reduction equivalent of gaseous CO2

[0085] where x i is the input amount of the i-th factor, and x j is the emission amount of the j-th factor;

[0086] Step 6: Calculate the net increase Δ1 of the carbon sink CO2 according to TCI and TCO, and calculate the net reduction of the carbon factor Δ2 according to and Δ1,

[0087] More preferably, it further includes Step 7: Evaluate the process to be measured:

[0088] If Δ1 = 0, the carbon cycle of the process to be measured is in balance;

[0089] If Δ1 is positive, the carbon emissions of the process to be measured decrease, indicating that the system has good fixation of environmental carbon factors, the external emission of gaseous CO2 decreases, and the system has the process characteristics of CCUS (CO2 capture, utilization, and storage technology);

[0090] If Δ1 is negative, the carbon emissions of the process to be measured increase. If the output is the same, it indicates that the proportion of clean energy input is higher;

[0091] If Δ2 = 0, the net reduction equivalent of the process to be measured is in balance;

[0092] If Δ2 is positive, the net reduction equivalent of the process to be measured increases;

[0093] If Δ2 is negative, the net reduction equivalent of the process to be measured decreases;

[0094] Among them, when Δ1≥0 or Δ2≤0, it is necessary to optimize the carbon emissions of the process to be measured.

[0095] Preferably, when Δ1≥0, optimizing the carbon emissions of the measured process includes:

[0096] Prioritize optimizing the factor with the highest weight among the input factors and / or output factors;

[0097] When the weight of electric energy among the input factors is the highest, optimize by increasing the solar energy utilization rate or the installed total power;

[0098] When the weight of the output gaseous CO2 among the output factors is the highest, optimize by increasing the collection system (such as an algae CO2 fixation system). When the carbon equivalent of the sewage pollution factor is low and the carbon source addition is high, consider the combined operation of algae and sludge to reduce the input carbon source, and finally optimize the net carbon sink CO2 amount Δ1; finally, consider reducing the input of personnel emissions and increasing the input of automation.

[0099] Preferably, for the new sewage process system of new energy and carbon collection, it mainly focuses on new energy substitution, tail gas recovery, and carbon source reduction, supplemented by process automation and intelligent management. When Δ2≤0, it indicates that the system's carbon sink capacity is weak, the solidification effect on the net equivalent of gaseous CO2 is small, or it just reaches the input-output balance. It is necessary to optimize the carbon emissions of the measured process, including:

[0100] From the input side, increase the input of auxiliary energy such as light energy and wind energy;

[0101] From the output side, the system increases the fixed equivalent of gaseous CO2. Since the input gas source is standard ambient air and the output gas is the gaseous CO2 increased by microbial decomposition and metabolism, the CO2 fixation amount of algae can be increased.

[0102] Preferably, it also includes calculating the value engineering coefficient V of the process to be measured, where

[0103] Among them, ΔW is the increase in input energy consumption of the process to be measured compared with the existing process, and C is the average amount of social unit emission reduction energy input.

[0104] Preferably, it also includes selecting the optimal process from multiple processes, including:

[0105] Calculate Δ1 and Δ2 for each process;

[0106] Taking the existing process as the benchmark, calculate the value engineering coefficient V of each process;

[0107] If among multiple processes, there is one process with the highest Δ2, then this process is taken as the optimal process;

[0108] If among multiple processes, there are m processes with the highest Δ2, then further compare the V values of the m processes, and take the process with the V value closest to 1 among the m processes as the optimal process;

[0109] If among multiple processes, there are m processes with the highest Δ2, and among the m processes, there are n processes with the V value closest to 1, then take the one with the smallest Δ1 among the n processes as the optimal process;

[0110] Wherein, both m and n are natural numbers not less than 2.

[0111] More preferably, it also includes

[0112] Sort in descending order of the consumption of input factors to obtain sequence S;

[0113] Sort in descending order of the consumption of output factors to obtain sequence P.

[0114] When optimizing Δ2, in accordance with the sorting of sequences S and P, successively select input factors / output factors for optimization adjustment;

[0115] The optimization adjustment includes increasing or decreasing the selected input factor / output factor by different amplitudes, and substituting the adjusted input factor / output factor into the calculation formula of Δ2 to calculate the new Δ2. When adjusting each factor, the factor can be increased or decreased by amplitudes of ±5%, ±10%, ±15%, ±20%, etc. For each adjustment of the factor, a new Δ2 value can be obtained. The multiple Δ2 values obtained through multiple adjustments can be used to fit a curve, and this curve can reflect the optimal adjustment value of this factor. Since there are multiple input factors / output factors, multiple curves are fitted. Plot the multiple curves into a relationship diagram of influencing factors and Δ2. Through the analysis of this relationship diagram, the optimization of the process can be achieved.

[0116] Among them, when plotting the relationship diagram of influencing factors and Δ2, the relationship diagram includes multiple influencing factor - Δ2 curves, and each influencing factor - Δ2 curve is obtained by fitting the corresponding relationship between a input factor / output factor after increasing or decreasing by different amplitudes and Δ2.

[0117] More preferably, the carbon tracking factor input matrix A and the carbon tracking factor output matrix B are respectively:

[0118]

[0119]

[0120] Among them, I.1 is the input water source containing pollution factor CF1, I.2 is the input energy power CF2, I.3 is the input air source CF3, I.4 is the input labor force CF4, I.5 is the input new energy CF5, O.1 is the output waste gas source CF6, O.2 is the output sludge pollution source CF7, O.3 is the output algae pollution source CF8, O.4 is the output water source containing pollution factor CF9, x I.1 is the input quantity of I.1, is the input quantity of I.2, x I.3 is the input quantity of I.3, is the input quantity of I.4, is the input quantity of I.5, x 0.1 is the output quantity of O.1, is the output quantity of O.2, is the output quantity of O.3, x 0.4 is the output quantity of O.4;

[0121] Carbon equivalent input matrix C T and carbon equivalent output matrix D T are respectively:

[0122] C T =(CO2e I.1 , CO2e I.2 , CO2e I.3 , CO2e I.4 , CO2e I.5 );

[0123] D T =(CO2e 0.1 , CO2e 0.2 , CO2e 0.3 , CO2e 0.4 );

[0124] Among them, CO2e I.1 ~CO2e I.5 are respectively the CO2 pollution factor equivalents corresponding to CF1~CF5, and CO2e 0.1 ~CO2e 0.4 are respectively the CO2 pollution factor equivalents corresponding to CF6~CF9.

[0125] More preferably, the calculation of the net CO2 emission reduction equivalent includes:

[0126]

[0127] x 0.1 CO2e 0.1 =k1(x I.1 CO2eI.1 -x 0.4 CO2e 0.4 ) - k2ρ∑CO2e;

[0128] Among them, k1 is the coefficient of gaseous CO2 produced by biodegradation of COD, k2 is the carbon sequestration coefficient of the current process, ∑CO2e is the total standard cubic volume of gaseous CO2 input in the current process, and ρ is the air density under standard conditions;

[0129] More preferably, the net reduction of the energy consumption carbon factor of the new energy is calculated as follows:

[0130]

[0131] Among them, is the carbon emission equivalent per hour of accessing the mains electricity, CO2e I.2 is the comprehensive carbon emission equivalent of the mains electricity, is the comprehensive carbon emission equivalent per hour of accessing new energy such as solar energy.

[0132] Example Two

[0133] This example uses "Microalgae, Microorganisms and Domestic Sewage Treatment System and Its Process" (Application No. 202110674296.5) as the process to be measured to illustrate this method, and its process is as follows:

[0134] Step 1: Select the process to be measured and determine the exchange boundaries of its energy and substances. The boundary is from the sewage entering the plant to the sewage leaving the plant;

[0135] Step 2: According to the boundary, sort the carbon trace factor CF k exchanged between the process to be measured and the outside world to obtain the carbon trace factor input matrix A and the carbon trace factor output matrix B;

[0136] The carbon trace factor CF k is sorted as follows:

[0137] I.1 is the input contaminated factor water source CF1, unit: t / h;

[0138] I.2 is the input energy and power CF2, unit: kWh / d;

[0139] I.3 is the input air source CF3, unit: Nm 3 / h;

[0140] I.4 is the input labor force CF4, unit: man-day;

[0141] I.5 is the input new energy CF5, unit: kWh / d;

[0142] O.1 is the output waste gas source CF6, unit: Nm 3 / h;

[0143] O.2 is the output sludge pollution source CF7, unit: t / d;

[0144] O.3 is the output algae pollution source CF8, unit: t / d;

[0145] O.4 is the output water source containing pollution factors CF9, unit: t / h;

[0146] The carbon trace factor input matrix A and the carbon trace factor output matrix B are respectively:

[0147]

[0148]

[0149] Among them, I.1 is the input water source containing pollution factors CF1, I.2 is the input energy and power CF2, I.3 is the input air source CF3, I.4 is the input labor force CF4, I.5 is the input new energy CF5, O.1 is the output waste gas source CF6, O.2 is the output sludge pollution source CF7, O.3 is the output algae pollution source CF8, O.4 is the output water source containing pollution factors CF9, x I.1 is the input quantity of I.1, is the input quantity of I.2, x I.3 is the input quantity of I.3, is the input quantity of I.4, is the input quantity of I.5, x 0.1 is the output quantity of O.1, is the output quantity of O.2, is the output quantity of O.3, x 0.4 is the output quantity of O.4.

[0150] Step 3, perform carbon equivalent CO2e k (such as carbon source, air source and electric energy) calibration on each carbon trace factor CF k , and sort the carbon equivalent CO2e k to obtain the carbon equivalent input matrix C T and the carbon equivalent output matrix D T , and the specific sorting and calibration are as follows:

[0151] CO2e I.1 is the CO2 pollution factor equivalent corresponding to the input water source containing pollution factors CF1, and the CO2e I.1 can be converted into the CO2 pollution factor equivalent according to the COD data; unit: t / t;

[0152] CO2eI.2 The CO2 pollution factor equivalent corresponding to the input energy power CF2, calibrated according to the power energy in the "IPCC National Greenhouse Gas Inventory Guidelines", and the equivalent of the energy introduced into the target system is calibrated according to the new energy weighted ratio announced in the region; unit: t / kWh;

[0153] CO2e I.3 The CO2 pollution factor equivalent corresponding to the input air source CF3, determined according to the CO2 in the air under standard conditions or calibrated sectionally or zonally according to altitude, temperature, and humidity; unit: t / Nm 3 ;

[0154] CO2e I.4 The CO2 pollution factor equivalent corresponding to the input labor force CF4, which is the carbon emission caused by the daily consumption of the social average labor force. Here, the per capita value of social consumption or the actual labor consumption can be used for determination; unit: t / man-day;

[0155] CO2e I.5 The CO2 pollution factor equivalent corresponding to the input new energy CF5, which is the difference between the CO2 pollution factor equivalent in the production process of new energy materials and the CO2 equivalent reduction during the foreseeable service life; CO2e I.5 A negative value indicates that the material is a net carbon sequestration material, and the reduction amount is equal to its absolute value; unit: t / kWh;

[0156] CO2e 0.1 The CO2 pollution factor equivalent corresponding to the output waste gas source CF6, determined according to the CO2 in the air under standard conditions or calibrated sectionally or zonally according to altitude, temperature, and humidity; unit: t / Nm 3 ;

[0157] CO2e 0.2 The CO2 pollution factor equivalent corresponding to the output sludge pollution source CF7, determined according to the sludge treatment process, storage time, and temperature; unit: t / t;

[0158] CO2e 0.3 The CO2 pollution factor equivalent corresponding to the output algae pollution source CF8, determined according to the algae treatment process, storage time, and temperature; unit: t / t;

[0159] CO2e 0.4 The CO2 pollution factor equivalent corresponding to the output water source with pollution factors CF9, calculated according to the COD data; unit: t / t;

[0160] Carbon equivalent input matrix C T and carbon equivalent output matrix D T are respectively:

[0161] C T = (CO2e I.1 , CO2e I.2 , CO2e I.3 , CO2e I.4 , CO2e I.5 );

[0162] D T = (CO2e 0.1 , CO2e 0.2 , CO2e 0.3 , CO2e 0.4 );

[0163] Wherein, CO2e I.1 ~ CO2e I.5 are the CO2 pollution factor equivalents corresponding to CF1 to CF5 respectively, and CO2e 0.1 ~ CO2e 0.4 are the CO2 pollution factor equivalents corresponding to CF6 to CF9 respectively.

[0164] Step 4: Classify the input factors and output factors of the carbon tracking factor CF k , and calculate the consumption amount CI i of each input factor and the consumption amount CO j ;

[0165] Step 5: Calculate the total input TCI, the total output TCO, the net reduction of the energy consumption carbon factor of new energy and the net reduction equivalent of gaseous CO2

[0166] Wherein, x i is the input amount of the i-th factor, and x j is the emission amount of the j-th factor;

[0167] Step 6: Calculate the net increase Δ1 of the carbon sink CO2 according to TCI and TCO, and calculate the net reduction Δ2 of the carbon factor according to and Δ1,

[0168] Preferably, it further includes Step 7: Evaluate the process to be measured:

[0169] If Δ1 = 0, the carbon cycle of the process to be measured is in balance;

[0170] If Δ1 is positive, the carbon emission of the process to be measured decreases, indicating that the system has good characteristics of fixing environmental carbon factors, the external emission amount of gaseous CO2 decreases, and the system has the process characteristics of CCUS (CO2 capture, utilization and storage technology);

[0171] If Δ1 is negative, the carbon emissions of the process to be measured increase. Under the same output, it indicates that the proportion of clean energy input is higher;

[0172] If Δ2 = 0, the net reduction equivalent of the process to be measured is in balance;

[0173] If Δ2 is positive, the net reduction equivalent of the process to be measured increases;

[0174] If Δ2 is negative, the net reduction equivalent of the process to be measured decreases;

[0175] Among them, if Δ1 ≥ 0 or Δ2 ≤ 0, the carbon emissions of the process to be measured need to be optimized.

[0176] Preferably, when Δ1 ≥ 0, optimizing the carbon emissions of the measurement process includes:

[0177] Prioritize optimizing the one with the highest weight among the input factors and / or output factors;

[0178] When the weight of electric energy among the input factors is the highest, optimize by increasing the solar energy utilization rate or the total installed power;

[0179] When the weight of the output gaseous CO2 among the output factors is the highest, optimize by increasing the collection system (such as an algae CO2 fixation system). When the carbon equivalent of the sewage pollution factor is low and the carbon source addition is high, consider the combined operation of algae and sludge to reduce the input carbon source, and finally optimize the net carbon sink CO2 amount Δ1; finally, consider reducing the input of personnel emissions and increasing the input of automation.

[0180] Preferably, for the new sewage process system of new energy and carbon collection, it mainly focuses on new energy substitution, tail gas recovery, and carbon source reduction, supplemented by process automation and intelligent management. When Δ2 ≤ 0, it indicates that the carbon sink capacity of the system is weak, the solidification effect on the net equivalent of gaseous CO2 is small or just reaches the input-output balance. It is necessary to optimize the carbon emissions of the measurement process, including:

[0181] From the input end, increase the input of auxiliary energy such as light energy and wind energy;

[0182] From the output end, the system increases the fixed equivalent of gaseous CO2. Since the input gas source is standard ambient air and the output gas is the gaseous CO2 increased by microbial decomposition and metabolism, the CO2 fixation amount of algae can be increased.

[0183] Preferably, it also includes calculating the value engineering coefficient V of the process to be measured, where

[0184] Among them, ΔW is the increase in input energy consumption of the process to be measured compared with the existing process, and C is the average amount of social unit emission reduction energy input.

[0185] More preferably, it further includes

[0186] Sort the input factors according to the consumption amount from large to small to obtain a sequence S;

[0187] Sort the output factors according to the consumption amount from large to small to obtain a sequence P.

[0188] When optimizing Δ2, according to the sorting of sequences S and P, select the input factors / output factors in turn for optimization adjustment;

[0189] The optimization adjustment includes increasing or decreasing the selected input factor / output factor by different amplitudes, and substituting the adjusted input factor / output factor into the calculation formula of Δ2 to calculate a new Δ2. When adjusting each factor, the factor can be increased or decreased according to the amplitude adjustment methods of ±5%, ±10%, ±15%, and ±20%. For each adjustment of the factor, a new Δ2 value can be obtained. The multiple Δ2 values obtained through multiple adjustments can be used to fit a curve, and this curve can reflect the optimal adjustment value of this factor. Since there are multiple input factors / output factors, multiple curves are fitted. Plot the multiple curves into a relationship diagram of the influencing factor and Δ2. Through the analysis of this relationship diagram, the optimization of the process can be realized.

[0190] Among them, draw a relationship diagram of the influencing factor and Δ2. The relationship diagram includes multiple influencing factor - Δ2 curves. Each influencing factor - Δ2 curve is obtained by fitting the corresponding relationship between the input factor / output factor after increasing or decreasing by different amplitudes and Δ2.

[0191] More preferably, the net emission reduction equivalent of gaseous CO2 is calculated as follows:

[0192]

[0193] x 0.1 CO2e 0.1 = k1(x I.1 CO2e I.1 - x 0.4 CO2e 0.4 ) - k2ρ∑CO2e;

[0194] Among them, k1 is the coefficient of gaseous CO2 produced by biological treatment to degrade COD, which can take 0.5 - 0.7; k2 is the carbon sequestration coefficient of the current process, which can take 0.6 - 1, ∑CO2e is the total input gaseous CO2 standard cubic meters of the current process, unit: Nm 3 / h; ρ is the air density under standard conditions, unit: 10 -3 kg / Nm3 ;

[0195] More preferably, the net reduction in energy consumption of the solar energy, ΔE CO2 is calculated as follows:

[0196]

[0197] Wherein, is the carbon emission equivalent per hour for accessing the commercial power grid, CO2e I.2 is the comprehensive carbon emission equivalent of the commercial power grid, unit: t / (kWh·h); is the comprehensive carbon emission equivalent per hour for accessing new energy sources such as solar energy, unit: t / (kWh·h).

[0198] It also includes the calculation of carbon source reduction for carbon emission reduction:

[0199] As Figure 2 shown, this process has no carbon source addition and does not require calculation. Compared with the traditional sludge process, it reduces the overall input carbon pollution factor of the system and has obvious technical advantages.

[0200] Example 3

[0201] This example uses the traditional sewage treatment process shown in Figure 3 as the process to be measured to illustrate this method, and its process is as follows:

[0202] Step 1, select the process to be measured (traditional sewage treatment process, as shown in Figure 3 ), and determine its energy and material exchange boundary, and the boundary is from the influent to the effluent of the sewage;

[0203] Step 2, according to the boundary, sort the carbon trace factor CF k for the process to be measured, and obtain the carbon trace factor input matrix A and the carbon trace factor output matrix B;

[0204] The carbon trace factor CF k is sorted as follows:

[0205] I.1 is the input influent water containing pollution factor water source CF1, unit: t / h;

[0206] I.2 is the input energy power CF2, unit: kWh / d;

[0207] I.3 is the input air source CF3, unit: Nm 3 / h;

[0208] I.4 is the input carbon source CF4, unit: t / d;

[0209] I.5 is the input labor force CF5, unit: man-day;

[0210] O.1 is the output waste gas source CF6, unit: Nm 3 / h;

[0211] O.2 is the output sludge pollution source CF7, unit: t / d;

[0212] O.3 is the output water source containing pollution factors CF8, unit: t / h;

[0213] The carbon tracking factor input matrix A and the carbon tracking factor output matrix B are respectively:

[0214]

[0215]

[0216] Among them, I.1 is the input water source containing pollution factors CF1, I.2 is the input energy and power CF2, I.3 is the input air source CF3, I.4 is the input carbon source CF4, I.5 is the input labor force CF5, O.1 is the output waste gas source CF6, O.2 is the output sludge pollution source CF7, O.3 is the output water source containing pollution factors CF8, x I.1 is the input quantity of I.1, is the input quantity of I.2, x I.3 is the input quantity of I.3, is the input quantity of I.4, is the input quantity of I.5, x 0.1 is the output quantity of O.1, is the output quantity of O.2, x 0.3 is the output quantity of O.3.

[0217] Step 3, perform carbon equivalent CO2e k (such as carbon source, air source and electric energy) calibration, and sort the carbon equivalent CO2e k to obtain the carbon equivalent input matrix C k and the carbon equivalent output matrix D T , and the specific sorting and calibration are as follows: T , specifically as follows:

[0218] CO2e I.1 is the CO2 pollution factor equivalent corresponding to the input water source containing pollution factors CF1; unit: t / t;

[0219] CO2e I.2 is the CO2 pollution factor equivalent corresponding to the input energy and power CF2; unit: t / kWh;

[0220] CO2e I.3 is the CO2 pollution factor equivalent corresponding to the input air source CF3; unit: t / Nm3 ;

[0221] CO2e I.4 is the CO2 pollution factor equivalent corresponding to the input carbon source CF4; unit: t / t;

[0222] CO2e I.5 is the input labor force; the CO2 pollution factor equivalent corresponding to CF5; unit: t / man-day;

[0223] CO2e 0.1 is the CO2 pollution factor equivalent corresponding to the output waste gas source CF6; unit: t / Nm 3 ;

[0224] CO2e 0.2 is the CO2 pollution factor equivalent corresponding to the output sludge pollution source CF7; unit: t / t;

[0225] CO2e 0.3 is the CO2 pollution factor equivalent corresponding to the output water containing pollution factor water source CF8; unit: t / t;

[0226] Carbon equivalent input matrix C T and carbon equivalent output matrix D T are respectively:

[0227] C T =(CO2e I.1 , CO2e I.2 , CO2e I.3 , CO2e I.4 , CO2e I.5 );

[0228] D T =(CO2e 0.1 , CO2e 0.2 , CO2e 0.3 );

[0229] Among them, CO2e I.1 ~CO2e I.5 are respectively the CO2 pollution factor equivalents corresponding to CF1~CF5, and CO2e 0.1 ~CO2e 0.3 are respectively the CO2 pollution factor equivalents corresponding to CF6~CF8.

[0230] Step 4, classify the input factors and output factors of the carbon tracking factor CF k , and calculate the consumption CI i of each input factor and the consumption CO j ;

[0231] Step 5, calculate the total input TCI, total output TCO, and the net reduction of the energy consumption carbon factor of new energy and the net reduction equivalent of gaseous CO2

[0232] Among them, x i is the input quantity of the i-th factor, and x j is the emission quantity of the j-th factor; specifically as follows:

[0233] TCI = C T A, TCO = D T B, Δ1 = TCI - TCO = C T A - C T B;

[0234] Similarly, using M = A·*C T and N = B·*D T to obtain the same-type matrices M and N, and sorting the elements of M and N according to size to obtain sequences S and P.

[0235] Step 6, calculate the net increase of carbon sink CO2 Δ1 according to TCI and TCO, and calculate the net reduction of the carbon factor Δ2 according to and Δ1;

[0236] More preferably, it further includes Step 7, evaluating the process to be measured:

[0237] If Δ1 = 0, the carbon cycle of the process to be measured is in balance;

[0238] If Δ1 is positive, the carbon emissions of the process to be measured decrease, indicating that the system has good characteristics of fixing environmental carbon factors, the external emission of gaseous CO2 decreases, and the system has the process characteristics of CCUS (CO2 capture, utilization and storage technology);

[0239] If Δ1 is negative, the carbon emissions of the process to be measured increase, indicating that the higher the proportion of clean energy input under the same output;

[0240] If Δ2 = 0, the net reduction equivalent of the process to be measured is in balance;

[0241] If Δ2 is positive, the net reduction equivalent of the process to be measured increases;

[0242] If Δ2 is negative, the net reduction equivalent of the process to be measured decreases;

[0243] Among them, if Δ1 ≥ 0 or Δ2 ≤ 0, the carbon emissions of the process to be measured need to be optimized.

[0244] More preferably, when Δ1 ≥ 0, optimizing the carbon emissions of the measured process includes:

[0245] Optimize by preferentially selecting the input factor and / or output factor with the highest weight;

[0246] When the weight of electric energy in the input factors is the highest, optimize by increasing the solar energy utilization rate or the total installed power;

[0247] When the weight of the output gaseous CO2 in the output factors is the highest, optimize by increasing the collection system (such as an algae CO2 fixation system). When the carbon equivalent of the sewage pollution factor is low and the carbon source addition is high, consider the combined operation of algae and sludge to reduce the input carbon source and finally optimize the net carbon sink CO2 amount Δ1; finally, consider reducing the input of personnel emissions and increasing the input of automation.

[0248] Preferably, for the new sewage process system for new energy and carbon collection, it mainly focuses on new energy substitution, tail gas recovery, and carbon source reduction, supplemented by process automation and intelligent management. When Δ2 ≤ 0, it indicates that the system's carbon sink capacity is weak, the solidification effect on the net equivalent of gaseous CO2 is small, or it just reaches the input-output balance. It is necessary to optimize the carbon emissions of the measurement process, including:

[0249] From the input end, increase the input of auxiliary energy such as light energy and wind energy;

[0250] From the output end, the system increases the fixed equivalent of gaseous CO2. Since the input gas source is standard ambient air and the output gas is the gaseous CO2 increased by microbial decomposition and metabolism, the CO2 fixation amount of algae can be increased.

[0251] Preferably, it also includes calculating the value engineering coefficient V of the process to be measured, where

[0252] where ΔW is the increase in input energy consumption of the process to be measured compared with the existing process, and C is the average amount of energy input reduced per unit of emission reduction in society.

[0253] Preferably, it also includes

[0254] Sort the input factors in descending order of consumption to obtain the sequence S;

[0255] Sort the output factors in descending order of consumption to obtain the sequence P.

[0256] When optimizing Δ2, according to the sorting of the sequences S and P, select the input factors / output factors in turn for optimization and adjustment;

[0257] The optimization adjustment includes increasing or decreasing the selected input factor / output factor by different amplitudes, and substituting the adjusted input factor / output factor into the calculation formula of Δ2 to calculate the new Δ2. When adjusting each factor, the factor can be increased or decreased by amplitudes of ±5%, ±10%, ±15%, and ±20%. For each adjustment of the factor, a new Δ2 value can be obtained. Multiple Δ2 values obtained through multiple adjustments can be used to fit a curve, which can reflect the optimal adjustment value of the factor. Since there are multiple input factors / output factors, multiple curves are fitted. Plotting the multiple curves into a relationship diagram of the influencing factor and Δ2, through the analysis of this relationship diagram, the optimization of the process can be achieved.

[0258] Among them, when plotting the relationship diagram of the influencing factor and Δ2, the relationship diagram includes multiple influencing factor - Δ2 curves, and each influencing factor - Δ2 curve is obtained by fitting the corresponding relationship between a input factor / output factor after increasing or decreasing by different amplitudes and Δ2.

[0259] More preferably, the net reduction equivalent of gaseous CO2 is calculated as follows:

[0260]

[0261]

[0262] Among them, k1 is the coefficient of gaseous CO2 produced by biological treatment of degraded COD, and its value can be taken as 0.5 - 0.7.

[0263] More preferably, the net reduction of the energy consumption of solar energy is calculated as follows:

[0264]

[0265] Among them, is the carbon emission equivalent per hour of accessing the commercial power grid.

[0266] It also includes the calculation of carbon reduction by the reduction of carbon source consumption:

[0267]

[0268] Among them is the pollution carbon emission equivalent of the additional carbon source consumed by the system per hour, unit: t / (t·h); where CO2e I.4 is calculated by weighted calculation of the carbon emission equivalents of different added carbon sources, unit: t / t.

[0269] When calculating for different processes, each input and output factor is adjusted according to the specific situation of the process. The above two embodiments are only examples and do not limit this solution. The above method can be used to calculate the process, and it can also determine whether the current process is superior to the existing process (such as the traditional process). It can also calculate and compare the data of multiple processes through the above steps to select the optimal process. At the same time, by analyzing the relationship diagram and adjusting each influencing factor, the optimization of the process can also be achieved.

[0270] It should be understood that the magnitude of the sequence numbers of the steps in the above embodiments does not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0271] The above embodiments are only used to illustrate the technical solutions of the present application, rather than limiting them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for calculating carbon emissions of a low-carbon sewage treatment process, characterized in that, Including: Select the process to be measured and determine the exchange boundaries of its energy and materials, where the boundaries are from the sewage inlet to the sewage outlet; According to the said boundary, sort the carbon trace factor CF exchanged between the process to be measured and the outside world k to obtain a carbon trace factor input matrix A and a carbon trace factor output matrix B; For each carbon tracking factor CF k perform carbon equivalent CO2e k calibration, and for the carbon equivalent CO2e k perform sorting one by one according to the carbon tracking factor CF k to obtain a carbon equivalent input matrix C T and a carbon equivalent output matrix D T ; For the carbon trace factor CF k Classify according to the input factor and the output factor, and calculate the consumption CI of each input factor i and the consumption CO of the output factor j ; Calculate the total input TCI, the total output TCO, and the net reduction in the energy consumption carbon factor of new energy ΔE CO2 and the net reduction equivalent of gaseous CO2 ΔG CO2 ; Calculate the net carbon sequestration CO2 increment Δ1 according to TCI and TCO, and calculate the net carbon factor reduction Δ2 according to ΔE CO2 , ΔG CO2 and Δ1, where Δ2 = Δ1 + ΔG CO2 + ΔE CO2 ; Also included is Sorting in descending order of the consumption of input factors to obtain sequence S; Sorting in descending order of the consumption of output factors to obtain sequence P; When optimizing Δ2, according to the sorting of sequences S and P, input factors / output factors are sequentially selected for optimization adjustment; The optimization adjustment includes increasing or decreasing the selected input factor / output factor by different amplitudes, and substituting the adjusted input factor / output factor into the calculation formula of Δ2 to calculate the new Δ 2； Drawing a relationship diagram between the influencing factors and Δ2, where the relationship diagram includes multiple influencing factor - Δ2 curves, and each influencing factor - Δ2 curve is obtained by fitting the corresponding relationship between Δ2 and the increase or decrease of an input factor / output factor at different amplitudes.

2. The carbon emission measurement method for the low-carbon sewage treatment process according to claim 1, characterized in that Also included is the evaluation of the process to be measured, and the evaluation includes: If Δ1 = 0, the carbon cycle of the process to be measured is in balance; If Δ1 is positive, the carbon emissions of the process to be measured decrease; If Δ1 is negative, the carbon emissions of the process to be measured increase; If Δ2 = 0, the net reduction equivalent of the process to be measured is in balance; If Δ2 is positive, the net reduction equivalent of the process to be measured increases; If Δ2 is negative, the net reduction equivalent of the process to be measured decreases; Among them, when Δ1≥0 or Δ2≤0, the carbon emissions of the process to be measured need to be optimized.

3. The carbon emission measurement method for the low-carbon sewage treatment process according to claim 2, characterized in that, When Δ1≥0, optimizing the carbon emissions of the measurement process includes: Prioritizing the selection of the input factor and / or output factor with the highest weight for optimization; When the weight of electric energy among the input factors is the highest, optimizing by increasing the solar energy utilization rate or the installed total power; When the weight of the output gaseous CO2 among the output factors is the highest, optimizing by increasing the collection system.

4. The carbon emission measurement method for the low-carbon sewage treatment process according to claim 2, wherein, When Δ2≤0, optimizing the carbon emissions of the measurement process includes: Increasing the input of auxiliary new energy; Increasing the CO2 fixation amount of algae.

5. The carbon emission measurement method for the low-carbon sewage treatment process according to claim 1, characterized in that It also includes calculating the value engineering coefficient V of the process to be measured, and the Among them, ΔW is the increase in input energy consumption of the process to be measured compared to the existing process, and C is the average amount of energy input reduced per unit of society.

6. The carbon emission measurement method of the low-carbon sewage treatment process according to claim 5, characterized in that Also included is selecting the optimal process from multiple processes, including: Calculating Δ1 and Δ2 for each process; Taking the existing process as the benchmark, calculating the value engineering coefficient V of each process; If among multiple processes, there is a process with the highest Δ2, then this process is taken as the optimal process; If among multiple processes, there are m processes with the highest Δ2, then further compare the V values of the m processes, and take the process with the V value closest to 1 among the m processes as the optimal process; If among multiple processes, there are m processes with the highest Δ2, and among the m processes, there are n processes with the V values closest to 1, then take the process with the smallest Δ1 among the n processes as the optimal process; Among them, m and n are natural numbers not less than 2.

7. The carbon emission measurement method for the low-carbon sewage treatment process according to claim 1, characterized in that, The carbon trace factor input matrix A and the carbon trace factor output matrix B are respectively: Among them, I.1 is the input water source containing pollution factor CF1, I.2 is the input energy power CF2, I.3 is the input air source CF3, I.4 is the input labor force CF4, I.5 is the input new energy CF5, O.1 is the output waste gas source CF6, O.2 is the output sludge pollution source CF7, O.3 is the output algae pollution source CF8, O.4 is the output water source containing pollution factor CF9, x I.1 is the input quantity of I.1, is the input quantity of I.2, x I.3 is the input quantity of I.3, is the input quantity of I.4, is the input quantity of I.5, x 0.1 is the output quantity of O.1, is the output quantity of O.2, is the output quantity of O.3, x 0.4 is the output quantity of O.4; Carbon equivalent input matrix C T and carbon equivalent output matrix D T are respectively as follows: C T = (CO2e I.1 , CO2e I.2 , CO2e I.3 , CO2e I.4 , CO2e I.5 ); D T = (CO2e 0.1 , CO2e 0.2 , CO2e 0.3 , CO2e 0.4 ); Among them, CO2e I.1 ~CO2e I.5 are the CO2 pollution factor equivalents corresponding to CF1 to CF5 respectively, and CO2e 0.1 ~CO2e 0.4 are the CO2 pollution factor equivalents corresponding to CF6 to CF9 respectively.

8. The carbon emission measurement method for the low-carbon sewage treatment process according to claim 7, wherein, The net reduction equivalent of gaseous CO2 is calculated as follows: x 0.1 CO2e 0.1 = k1(x I.1 CO2e I.1 - x 0.4 CO2e 0.4 ) - k2ρ∑CO2e; Among them, k1 is the coefficient of gaseous CO2 produced by biological treatment for degrading COD, k2 is the carbon fixation coefficient of the current process, ∑CO2e is the total input gaseous CO2 standard cubic meters of the current process, and ρ is the air density under standard conditions.

9. The carbon emission measurement method for the low-carbon sewage treatment process according to claim 7, characterized in that, Net reduction of energy consumption carbon factor of the new energy The calculation includes: Among them, is the carbon emission equivalent per hour for accessing the mains electricity, CO2e I.2 is the comprehensive carbon emission equivalent of the mains electricity, is the comprehensive carbon emission equivalent per hour for accessing new energy.

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