A method and storage medium for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant

Abstract

The present invention discloses a method and a storage medium for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant, which relates to the technical fields of environmental protection governance and clean energy resources. The method includes: a program of selecting a statistical period, collecting activity information, checking and correcting data, selecting correlation factors, starting an accounting program, and showing index results, so as to obtain index results; when the index results establish a longitudinal evaluation object with a single sewage treatment plant, conducting carbon efficiency analysis and evaluation, weight influence ranking, and cross-analogy analysis of single-plant sources to obtain the evaluation results of the single sewage treatment plant; when the index results establish a horizontal evaluation object with multiple sewage treatment plants, conducting correlation trend research and judgment of multi-plant sources and cross-analogy analysis of multi-plant sources to obtain the evaluation results of multiple sewage treatment plants; and making decision optimization according to the evaluation results of the single sewage treatment plant and the evaluation results of multiple sewage treatment plants. The present invention conducts comparative analysis and low-carbon decision-making evaluation on the carbon emission indicator indexes of different periods or different sewage treatment plants of the sewage treatment plant.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental protection governance and clean energy resources, and more specifically, to a method and storage medium for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant. Background Art

[0002] As a pollution treatment unit, a sewage treatment plant or a sewage treatment service enterprise fails to establish a standardized, unified and long-term operating cycle carbon emission accounting system. The greenhouse gas emission factor and statement database have not been established and are in a blank and missing stage. The relevant measurement, detection, monitoring, accounting and low-carbon analysis and evaluation capabilities of carbon emissions are often at a primary level. There is a data gap and information island between its production and pollution treatment behaviors and greenhouse gas carbon emissions. It is often difficult to quantitatively measure and evaluate the pollution treatment effect, or difficult to evaluate the energy (material) consumption utilization efficiency, or difficult to diagnose the organic correlation and system normalization of carbon emission reduction benefits. It is also difficult to quantitatively measure and compare and analyze the carbon emission levels between different sewage treatment plants or the same sewage treatment plant during the inspection period using a multi-dimensional index system. Therefore, it cannot efficiently guide the systematic synergistic efficiency improvement of pollution reduction, energy conservation, consumption reduction and carbon reduction in sewage treatment plants. It is difficult to coordinate and unify the dual control objectives of the total carbon emission and emission intensity, and it is also difficult to effectively contribute to the green and low-carbon goals of the sewage treatment and service industries.

[0003] Energy-consuming industrial enterprises are involved in carbon emission accounting, and there are already relevant accounting methods. However, for a sewage treatment plant as a multi-functional entity for pollution reduction, carbon emission or carbon emission reduction, there is no systematic and refined method for carbon emission measurement and accounting based on pollutant reduction, production consumption, and carbon emissions brought by pollution treatment behaviors, and it is difficult to effectively guide precise pollution treatment, precise carbon reduction, energy conservation and consumption reduction.

[0004] The existing solutions in the prior art are all aimed at improving the carbon emission accounting and evaluation report system for key industries. The existing experience in carbon emission accounting and low-carbon evaluation during the sewage treatment operation stage has non-standardized and unified accounting parameter values, and the accounting methods and operation logics are cumbersome and complex. They lack systematicness, unity and comparability. The emission intensity evaluation index is single, and there is no systematic establishment of an evaluation mechanism for the carbon emission intensity of a multi-dimensional index system for treatment volume, multi-pollutant reduction factors, energy consumption and chemical consumption factors. Moreover, there is a lack of a necessary man-machine interaction and visual interface input Iuput / export Output (abbreviation: I / O) accounting model device.

[0005] Therefore, it is an urgent problem for those skilled in the art to propose a method and storage medium for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant to solve the difficulties existing in the prior art. Summary of the Invention

[0006] In view of this, the present invention provides a method and storage medium for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant, which is used to solve the limitations existing in the prior art.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] A method for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant, comprising the following steps:

[0009] Based on the procedures of statistical period selection, activity information collection, data verification and correction, correlation factor selection, starting the accounting program, and showing the index results, the index results are obtained;

[0010] When the index results establish a longitudinal evaluation object for a single sewage treatment plant, carbon efficiency analysis and evaluation, weight impact ranking, and cross-analogy analysis of single-plant sources are carried out to obtain the evaluation results of the single sewage treatment plant;

[0011] When the index results establish a horizontal evaluation object for multiple sewage treatment plants, the correlation trend judgment of multi-plant sources and the cross-analogy analysis of multi-plant sources are carried out to obtain the evaluation results of multiple sewage treatment plants;

[0012] The operation decision-making is optimized according to the evaluation results of the single sewage treatment plant and the evaluation results of multiple sewage treatment plants.

[0013] Optionally, the statistical period selection includes: annual period, semi-annual, quarterly, monthly period, or the start and end dates of the statistical period;

[0014] The activity information collection includes: presetting an index dictionary of carbon emissions, and obtaining the activity data of sewage, electricity, treated and disposed sludge, chemicals, heat, and coal during the formal operation stage of the sewage treatment plant through instrument and meter measurement and monitoring, manual detection, or meter reading statistics;

[0015] The data verification and correction include: retaining, eliminating, correcting, and rechecking and correcting the activity data;

[0016] The correlation factor selection includes: sewage discharge coefficient, emission factor, global warming potential of greenhouse gases;

[0017] Starting the accounting program includes: quantitatively inputting relevant parameters;

[0018] Showing the index results includes: obtaining the results of multiple index parameters, calculation parameters, process indexes, result indexes, and carbon efficiency indexes through the preset accounting logic and algorithm program.

[0019] Optionally, the input parameters include production activity information, water quality treatment information, and correlation factors;

[0020] The calculation parameters include the activity information ratio parameter, the single-pollutant reduction concentration parameter, and the multi-pollutant reduction concentration parameter;

[0021] The process indicators include the direct carbon emission intensity, the indirect carbon emission intensity, and the indirect carbon emission intensity of each section;

[0022] The result indicators include the actual carbon emission intensity, the actual total carbon emissions, the carbon emission intensity based on the pollutant reduction ratio, and the carbon emission intensity based on the energy and chemical consumption ratio;

[0023] The carbon efficiency indicators include the carbon emission reduction benefit, the quantitative analogy of carbon emissions from a single water treatment plant, the ranking of the weight impact of carbon emissions from a single water treatment plant, the quantitative analogy of carbon emissions from single and multiple water treatment plants, the carbon neutralization rate contributed by clean energy, and the judgment of the correlation trend of carbon emissions from multiple plant sources.

[0024] Optionally, the accounting boundary of production activity information is limited to the formal operation stage within the plant boundary of the sewage treatment plant, including: the actual treated water volume, denoted as Q, with the unit of 10,000 m 3 , which is obtained by statistical calculation through the online flowmeter for influent or effluent; the purchased electricity, denoted as El, with the unit of MW·h, and 1 MW·h = 10 3 kW·h, the metered electricity for each section, denoted as El i , with the unit of MW·h, the self-generated electricity from clean energy, denoted as Ecl, with the unit of MW·h; the output of treated and disposed sludge, denoted as Ws, with the unit of ton, the moisture content of the treated and disposed sludge, denoted as rw, with the unit of %; the consumption of fossil fuels, denoted as F, with the unit of t (or ton, the same hereinafter); the purchased heat, denoted as H, with the unit of t, the metered heat for each section; the name of the j-th production chemical, the consumption of the j-th production chemical, denoted as Ch j , with the unit of t; the consumption of the j-th chemical for each section, with the unit of t, and each section is divided into: A-116c, B-116c, C-116c, D-116c, E-116c; the assigned ratio of the key chemical consumption index; the recovered volume of CH4, denoted as V CH , with the unit of m 3 ;

[0025] The unit of water quality treatment information is: mg / L, including: the average influent BOD5 concentration, denoted as BOD i ; the average effluent BOD5 concentration, denoted as BOD e ; the average influent COD concentration, denoted as COD i ; the average effluent COD concentration, denoted as COD e , the average influent NH3-N concentration, denoted as NH i ; the average effluent NH3-N concentration, denoted as NH e ; the average influent TN concentration, denoted as TN i ; the average effluent TN concentration, denoted as TN e; The average influent TP concentration, denoted as TP i ; The average effluent TP concentration, denoted as TP e ; The weight assignment ratio of the comprehensive pollutant index;

[0026] The correlation factors include: the organic matter content in the average dry sludge, denoted as f, with the unit of kgVSS / kg DS; the N2O emission factor, denoted as EF1, with the unit of kgN2O / kg TN; the CH4 yield coefficient when anaerobic degrades unit COD, denoted as B0, with the unit of kg CH4 / kg COD; the CH4 correction factor, denoted as MCF; the standard coal CO2 emission factor, denoted as EF2, with the unit of kg CO2 / kg standard coal; the power consumption carbon emission factor, denoted as EF3, with the unit of kg CO2 / kW·h; the carbon emission factor of the j-th chemical agent, denoted as EF 4j , with the unit of kgCO2 / kg; the global warming potential of N2O, denoted as GWP1, with the unit of kg CO2 / kgN2O, and the global warming potential of CH4, denoted as GWP2, with the unit of kg CO2 / kg CH4.

[0027] Optionally, the activity information ratio parameters include: the power consumption per average ton of water treatment, denoted as el, with the unit of kW·h / m 3 ; The power consumption per average ton of water treatment in the partition section, denoted as el i , with the unit of kW·h / m 3 ; The dry sludge production rate per average ton of water treatment, denoted as w, with the unit of kg DS / m 3 ; The fossil fuel combustion consumption rate per average ton of water treatment, denoted as f, with the unit of kg standard coal / m 3 ; The purchased heat consumption rate per average ton of water treatment, denoted as h, with the unit of kg standard coal / m 3 ; The purchased heat consumption rate per average ton of water treatment in the partition section, denoted as h i , with the numerical unit: kg standard coal / m 3 ; The chemical agent consumption per average ton of water treatment of the j-th production chemical agent, denoted as ch j , with the unit of mg / L, and the chemical agent consumption per average ton of water treatment of the j-th chemical agent in the partition section, with the unit of mg / L; the key chemical agent consumption index, denoted as ch’, with the unit of mg / L; the CH4 recovery ratio per average ton of water treatment, denoted as V C , with the unit of kg / m 3 ;

[0028] The unit of the single pollutant reduction concentration parameter is mg / L, including: the average BOD5 reduction concentration, denoted as ΔBOD5, the average COD reduction concentration, denoted as ΔCOD, the average NH3-N reduction concentration, denoted as ΔNH, the average TN reduction concentration, denoted as △TN, and the average TP reduction concentration, denoted as △TP;

[0029] The multi-pollutant reduction concentration parameters include: the average reduction concentration of the first oxygen-consuming pollutant, denoted as R bn , with the unit of mg / L; the average reduction concentration of the second oxygen-consuming pollutant, denoted as R cn , with the unit of mg / L; the average reduction concentration of the comprehensive pollutant, denoted as R t , with the unit of mg / L.

[0030] Optionally, the direct carbon emission intensity includes: the N2O carbon emission intensity, denoted as CEI 1a , with the unit of kg CO2 / m 3 , the CH4 carbon emission intensity, denoted as CEI 1b , with the unit of kg CO2 / m 3 , the CO2 carbon emission intensity, denoted as CEI 1c , with the unit of kg CO2 / m 3 ; the indirect carbon emission intensity includes: the electricity consumption carbon emission intensity, denoted as CEI 2a , with the unit of kg CO2 / m 3 , the heat consumption carbon emission intensity, denoted as CEI 2b , with the unit of kg CO2 / m 3 , the chemical consumption carbon emission intensity, denoted as CEI 2c , with the unit of kg CO2 / m 3 ;

[0031] The indirect carbon emission intensity of each section includes the indirect carbon emission intensity of the sewage pretreatment section, the indirect carbon emission intensity of the sewage biochemical treatment section, the indirect carbon emission intensity of the sewage advanced treatment section, the indirect carbon emission intensity of the sludge treatment and disposal section, and the indirect carbon emission intensity of the plant deodorization treatment section. Each section includes: the electricity consumption carbon emission intensity of the section, the heat consumption carbon emission intensity of the section, and the chemical consumption carbon emission intensity of the section, with the unit of kg CO2 / m 3 .

[0032] Optionally, the actual carbon emission intensity, denoted as CEI, with the unit of kg CO2 / m 3 , is the sum of the direct carbon emission intensity and the indirect carbon emission intensity values. The direct carbon emission intensity is denoted as CEI1, and the indirect carbon emission intensity is denoted as CEI2, both with the unit of kg CO2 / m 3 , that is: CEI = CEI1 + CEI2; the actual total carbon emissions, denoted as CES, with the unit of t CO2, CES = the actual carbon emission intensity CEI × the actual treated water volume Q × 10;

[0033] The carbon emission intensity based on the pollutant reduction ratio includes: the first carbon emission intensity based on the reduction of oxygen-consuming pollutants, denoted as CEI bn, in kg CO2 / kg, the second carbon emission intensity based on the reduction of oxygen-consuming pollutants, denoted as CEI cn , in kg CO2 / kg, the carbon emission intensity based on the reduction of comprehensive pollutants, denoted as CEI t , in kg CO2 / kg;

[0034] The carbon emission intensity based on the energy-drug consumption ratio includes: the carbon emission intensity based on unit power consumption, denoted as CEI el , in kg CO2 / kW·h, the carbon emission intensity based on the key drug consumption index, denoted as CEI ch’ , in kg CO2 / kg.

[0035] Optionally, the carbon emission reduction benefits include: the carbon emission reduction intensity, denoted as CEI △ , in kg CO2 / m 3 , the carbon emission reduction amount, denoted as CES △ , in t CO2;

[0036] The influence ranking of the carbon emission weights of single water plants is presented using professional tabulation and graphing tools such as Excel, Origin, and Spss, and weight priority ranking statistical analysis is carried out for different sub-elements;

[0037] The quantitative analogy of carbon emissions from single and multiple water plants includes a horizontal analogy method of multiple index systems for carbon emissions from single plant sources and multiple plant sources;

[0038] The clean energy contribution carbon neutralization rate = the self-generated electricity of clean energy E cl ÷ the purchased electricity El × 100%;

[0039] The trend judgment of the correlation of carbon emissions from multiple plant sources is presented using professional tabulation and graphing tools such as Excel, Origin, and Spss, and trend correlation analysis and grading evaluation are carried out between specified indicators.

[0040] A storage medium adopts several encryption storage functions of local computers, mobile storage, and cloud storage to execute the above-mentioned method for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant. The storage period includes data for several years, covering the carbon emission activity information of several multi-water plants and the tabular and graphical results of accounting and comparison.

[0041] It can be seen from the above technical solutions that, compared with the prior art, the present invention discloses a method and a storage medium for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant, and its beneficial effects are:

[0042] 1) Regarding carbon emission factors, mainly referring to three types of greenhouse gases (carbon dioxide CO2, nitrous oxide N2O, methane CH4) that affect the global warming trend, initiate the calculation of indicative measurement indicators for carbon emissions, including "total carbon emissions" (total quantity indicator) and "total carbon emission intensity" (including: carbon emission intensity indicator per unit treatment volume, carbon emission intensity emission indicator based on pollutant reduction ratio, carbon emission intensity emission indicator based on unit power consumption, and carbon emission intensity emission indicator based on key drug consumption index). This changes the traditional single and extensive mode of only calculating carbon emission intensity based on carbon emissions, and directly calculates carbon emission intensity through the specific consumption parameter index system, greatly simplifying the calculation path and conveniently optimizing the calculation model;

[0043] 2) According to the pollution control behavior and production activity data, customize the carbon emission accounting control program device and processing logic. Through calculating the indicative measurement indicators for carbon emissions, in a certain algorithm and chart visualization display form, it can conduct comparative analysis and carbon reduction decision-making evaluation on the carbon emission indicative indicators of different time periods or different sewage treatment plants, so as to measure and evaluate the contribution of the same or different carbon emission entities (sewage treatment plants) to greenhouse gas carbon emissions due to the production behavior of sewage treatment and the low-carbon control strategies and benefits, assisting the green and low-carbon goals of the sewage treatment and service industries. Description of the Drawings

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to the provided drawings.

[0045] Figure 1 It is a flowchart of a method for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant provided by the present invention;

[0046] Figure 2 It is an index parameter guiding logic tree diagram of the carbon emission quantitative accounting method for the sewage treatment plant provided by the present invention;

[0047] Figure 3 It is an indication diagram of the attribution section of electric energy - heat - chemical agent materials consumption of the sewage treatment plant provided by the present invention; among them, 3a is the section distribution diagram, 3b is the statistical chart of the collection of electric energy consumption - heat consumption - chemical agent consumption activity information by section, 3c is the ratio parameter diagram of the electric energy consumption - heat consumption - chemical agent consumption activity information by section, and 3d is the carbon emission intensity diagram of the electric energy consumption - heat consumption - chemical agent consumption by section;

[0048] Figure 4 It is a weight ranking analysis logic diagram of the carbon emission intensity of a single plant source provided by the present invention;

[0049] Figure 5 It is a diagram showing an example of weight ranking statistical analysis provided by the present invention; among them, 5a is an example showing the weight ranking statistical analysis among sub-elements in carbon emission intensity, and 5b is an example showing the weight ranking statistical analysis of each sub-section in indirect carbon emission intensity;

[0050] Figure 6 It is a quantitative analogy logic diagram of carbon emissions from single and multiple water treatment plants provided by the present invention;

[0051] Figure 7 It is a diagram showing an example of horizontal comparison among different plant sources provided by the present invention; among them, 7a is an example showing the horizontal comparison ranking of multiple plant sources in actual carbon emission intensity, and 7b is an example showing the horizontal comparison ranking of multiple plant sources in carbon emission intensity based on comprehensive pollutant reduction;

[0052] Figure 8 It is a logic diagram for judging the correlation trend of carbon emissions from multiple plant sources provided by the present invention;

[0053] Figure 9 It is a diagram showing an example of the analysis of the correlation degree of the linear fitting trend between the optional index system (ordinate) and the actual carbon emission intensity (abscissa) provided by the present invention; among them, 9a is when the ordinate selects the second carbon emission intensity based on the reduction of oxygen-consuming pollutants, 9b is when the ordinate selects the carbon emission intensity based on comprehensive pollutant reduction, 9c is when the ordinate selects the power consumption per average ton of water treatment, and 9d is when the ordinate selects the key drug consumption index. Detailed implementation manners

[0054] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0055] See Figure 1 As shown, the present invention discloses a method for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant, including the following steps:

[0056] Based on the procedures of statistical cycle selection, activity information collection, data verification and correction, correlation factor selection, starting the accounting program, and showing the index results, the index results are obtained;

[0057] When the index results establish a longitudinal evaluation object for a single sewage treatment plant, carbon efficiency analysis and evaluation, weight influence ranking, and cross-analogy analysis of a single plant source are carried out to obtain the evaluation results of a single water treatment plant;

[0058] When the index results are used to establish horizontal evaluation objects for multiple sewage treatment plants, conduct research on the correlation trends of multiple plant sources and cross-analog analysis of multiple plant sources to obtain the evaluation results of multiple water plants;

[0059] Optimize the operation decision-making based on the evaluation results of single water plants and multiple water plants.

[0060] Furthermore, the statistical periods include: annual period, semi-annual, quarterly, monthly period, or the start and end dates of the statistical period;

[0061] The collection of activity information includes: presetting an index dictionary for carbon emissions, and obtaining the activity data of sewage, electricity, treated sludge, chemicals, heat, and coal during the formal operation stage of the sewage treatment plant through instrument measurement and monitoring, manual detection, or meter reading statistics;

[0062] Data verification and correction include: retaining, eliminating, correcting, and rechecking and correcting the activity data;

[0063] The selection of correlation factors includes: pollution discharge coefficients, emission factors, and global warming potential of greenhouse gases;

[0064] Starting the accounting process includes: quantitatively inputting relevant parameters;

[0065] Showing the index results includes: obtaining the results of multiple index parameters through preset accounting logics and algorithm programs.

[0066] Furthermore, the activity data includes input parameter 1, calculation parameter 2, process index 3, result index 4, and carbon efficiency index 5 of the sewage treatment plant.

[0067] Specifically, for the activity data, correlation factors, and index result logic tree of the carbon emission quantitative accounting method for sewage treatment plants, see Figure 2 Shown. In the I / O accounting model device of its index parameters, examples of the content of input (Iuput) parameters are shown in Tables 1 - 5.

[0068] Table 1 Production activity information of sewage treatment plants (excluding chemical consumption items)

[0069] Index Serial Number Parameter Value Unit Remarks 111 Actual Treated Water Volume 736 <![CDATA[Ten thousand m 3 > 112a Purchased Electricity Volume 2229 MW·h 112c Self-Generated Clean Energy Electricity Volume 500 MW·h 113a Output of Treated and Disposed Sludge 2317 ton 113b Moisture Content of Treated and Disposed Sludge 60％ 114 Consumption of Fossil Fuels 0 t 115a Purchased Heat Quantity 0 t 117 <![CDATA[CH4 recovery volume]]> 0 <![CDATA[m 3 >

[0070] Table 2 Water quality treatment information of sewage treatment plants

[0071] Index Serial Number Parameter Value Unit Remarks 121a <![CDATA[Average influent BOD5 concentration]]> 64.6 mg / L 121b <![CDATA[Average concentration of effluent BOD5]]> 5.4 mg / L 122a Average Inlet COD Concentration 165 mg / L 122b Average Outlet COD Concentration 13 mg / L 123a <![CDATA[Average influent NH3-N concentration]]> 24.8 mg / L 123b <![CDATA[Average concentration of NH3-N in effluent]]> 0.17 mg / L 124a Average Inlet TN Concentration 31.0 mg / L 124b Average Outlet TN Concentration 9.20 mg / L 125a Average Inlet TP Concentration 5.08 mg / L 125b Average Outlet TP Concentration 0.20 mg / L 126a <![CDATA[Weight ratio assignment of comprehensive pollutant indicators: BOD5]]> 10％ 126b Weight Assignment Ratio of Comprehensive Pollutant Index: COD 30％ 126c <![CDATA[Weight Assignment Ratio of Comprehensive Pollutant Index: NH3-N]]> 10％ 126d Weight Assignment Ratio of Comprehensive Pollutant Index: TN 30％ 126e Weight Assignment Ratio of Comprehensive Pollutant Index: TP 20％

[0072] Table 3 Production activity information of electricity consumption and heat consumption in sectional metering and statistics of sewage treatment plants

[0073]

[0074]

[0075] Table 4 Carbon emission accounting correlation factors of sewage treatment plants

[0076]

[0077] Table 5 Chemical consumption information and carbon emission factors of sewage treatment plants

[0078]

[0079]

[0080] Furthermore, the input parameter 1 includes production activity information 11, water quality treatment information 12, and correlation factor 13;

[0081] The calculation parameter 2 includes activity information ratio parameter 21, single pollutant reduction concentration parameter 22, and multi-pollutant reduction concentration parameter 23;

[0082] The process index 3 includes direct carbon emission intensity 31, indirect carbon emission intensity 32, and indirect carbon emission intensity of each section 33;

[0083] The result index 4 includes actual carbon emission intensity 41, actual total carbon emission 42, carbon emission intensity based on pollutant reduction ratio 43, and carbon emission intensity based on energy and chemical consumption ratio 44;

[0084] The carbon efficiency index 5 includes carbon emission reduction benefit 51, quantitative analogy of carbon emission of a single water treatment plant 52, quantitative analogy of carbon emission of single and multiple water treatment plants 53, carbon neutralization rate of clean energy contribution 54, and trend judgment of carbon emission correlation of multiple plant sources 55.

[0085] Specifically, the main sections of power - heat - chemical material consumption in the sewage treatment plant include sewage pretreatment section A, sewage biochemical treatment section B, sewage advanced treatment section C, sludge treatment and disposal section D, and plant deodorization treatment section E, a total of six section modules, as shown in 3a of Figure 3 as shown in

[0086] Furthermore, the accounting boundary of the production activity information 11 is limited to the formal operation stage within the plant boundary of the sewage treatment plant, including: actual treated water volume 111, denoted as Q, with the unit of 10,000 m 3 , which is obtained by statistical measurement of the inlet or outlet online flowmeter; purchased electricity 112a, denoted as El, with the unit of MW·h, 1MW·h = 10 3 kW·h, and the metered electricity of each section 112b, denoted as El i, in MW·h, each section is divided into: A-112b, B-112b, C-112b, D-112b, E-112b; the self-generated electricity of clean energy is 112c, denoted as Ecl, in MW·h; the output of sludge treated and disposed is 113a, denoted as Ws, in tons, obtained through statistics, and the moisture content of the sludge treated and disposed is 113b, denoted as rw, in %, obtained through detection or experience; the consumption of fossil fuels is 114, denoted as F, in t, obtained through statistics; the purchased heat is 115a, denoted as H, in t, and the measured heat of each section 115b is all obtained through measurement and statistics. Each section is divided into: A-115b, B-115b, C-115b, D-115b, E-115b; the name of the jth production chemical is 116a, and the consumption of the jth production chemical is 116b, denoted as Ch j , in t; the consumption of the jth chemical in each section is 116c, in t. Each section is divided into: A-116c, B-116c, C-116c, D-116c, E-116c, all obtained through the statistics of the chemical storage and consumption belonging to each section; the assignment ratio of the consumption index of key chemicals is 116d; the recovered volume of CH4 is 117, denoted as V CH , in m 3 ;

[0087] Specifically, the measured electricity of each section 112b includes five sub-items: A-112b (pretreatment section, denoted as El1), B-112b (biochemical treatment section, denoted as El2), C-112b (advanced treatment section, denoted as El3), D-112b (sludge treatment and disposal section, denoted as El4), E-112b (deodorization treatment section, denoted as El5). El, the measured electricity of each section El i, Ecl is obtained by statistics through the intelligent total electric energy meter, the power metering electric energy meters set up in each zone, and the electric energy meters set up separately for clean energy power generation; among them, the metered heat 115b of the partition section includes five sub-items: A-115b (pretreatment section, denoted as H1), B-115b (biochemical treatment section, denoted as H2), C-115b (advanced treatment section, denoted as H3), D-115b (sludge treatment and disposal section, denoted as H4), E-115b (deodorization treatment section, denoted as H5); the name (function) 116a of the j-th production chemical agent includes types such as denitrification carbon source chemical agent 1#, phosphorus removal coagulation chemical agent 2#, disinfection chemical agent 3#, coagulant aid chemical agent 4#, sludge dewatering chemical agent 5#, etc. If they are sequentially marked as the 1st to 5th chemical agents, the consumption 116b of the j-th production chemical agent is all obtained through the statistics of outbound and consumption. If following the aforementioned marking order of 1# to 5#, the consumption of the carbon source chemical agent is denoted as Ch1, the consumption of the phosphorus removal chemical agent is denoted as Ch2, the consumption of the disinfection chemical agent is denoted as Ch3, and so on in sequence; the ratio assignment of the key chemical agent consumption index 116d is only for the three key water treatment function chemical agents of denitrification carbon source chemical agent, phosphorus removal coagulation chemical agent, and disinfection chemical agent. Their index assignments are respectively denoted as ra1, ra2, ra3. The preset default values of ra1 to ra3 are 40%, 40%, and 20% respectively. These preset values are adjustable, and ra1 + ra2 + ra3 = 100%; the recovered volume 117 of CH4 is obtained through metering statistics. When there is no metering condition, the value is taken as 0. The metered electricity 112b of the partition section, the metered heat 115b of the partition section, and the consumption 116c of the j-th chemical agent in the partition section are shown in Figure 3 as shown in 3b of

[0088] The unit of water quality treatment information 12 is: mg / L, including: the average concentration of influent BOD5 121a, denoted as BOD i ; the average concentration of effluent BOD5 121b, denoted as BOD e ; the average concentration of influent COD 122a, denoted as COD i ; the average concentration of effluent COD 122b, denoted as COD e , the average concentration of influent NH3-N 123a, denoted as NH i ; the average concentration of effluent NH3-N 123b, denoted as NH e ; the average concentration of influent TN 124a, denoted as TN i ; the average concentration of effluent TN 124b, denoted as TN e ; the average concentration of influent TP 125a, denoted as TP i ; the average concentration of effluent TP 125b, denoted as TP e ; the weight ratio assignment 126 of the comprehensive pollutant index;

[0089] Specifically, the weight ratio of the comprehensive pollutant index is 126, including 126a to 126e (the comprehensive pollutant is measured by five indicators: BOD5, COD, NH3-N, TN, and TP; the ratio of each indicator: the preset default values are BOD5 = 10% (denoted as rb1), COD = 30% (denoted as rb2), NH3-N = 10% (denoted as rb3), TN = 30% (denoted as rb4), TP = 20% (denoted as rb5) respectively. These 5 preset values are adjustable, and rb1 + rb2 + rb3 + rb4 + rb5 = 100%.

[0090] Specifically, in the I / O accounting model device of the index parameters, examples of the calculation parameter content of the output are shown in Tables 6 - 10.

[0091] Table 6 Activity information ratio parameters of the sewage treatment plant

[0092]

[0093] Table 7 Single (multiple) pollutant reduction concentration parameters of the sewage treatment plant

[0094]

[0095]

[0096] Table 8 Sectional parameters of the activity information ratio of the sewage treatment plant (power consumption)

[0097]

[0098] Table 9 Sectional parameters of the activity information ratio of the sewage treatment plant (heat consumption)

[0099]

[0100] Table 10 Sectional parameters of the activity information ratio of the sewage treatment plant (chemical consumption)

[0101]

[0102] The associated factor 13 includes: the organic matter content 131 in the average dry sludge, denoted as f, with the unit of kgVSS / kg DS, and its value is obtained through actual detection or empirical values. The default preset adjustable value is 0.50 (recommended range is 0.40 - 0.70); the N2O emission factor 132, denoted as EF1, with the unit of kgN2O / kg TN, and its value can be obtained through the latest IPCC announcements, standards (specifications, guidelines, announcements, etc.) issued by official or authoritative industry institutions, retrieval and query of authoritative scientific and technological literature such as CNKI, or channels such as AI machine learning. The default preset adjustable value is 0.016; the CH4 yield coefficient 133 when anaerobic degrades unit COD, denoted as B0, with the unit of kgCH4 / kg COD, which is a preset value of 0.25; the CH4 correction factor 134, denoted as MCF, and its value can be obtained through the latest IPCC announcements, standards (specifications, guidelines, announcements, etc.) issued by official or authoritative industry institutions, retrieval and query of authoritative scientific and technological literature such as CNKI, or channels such as AI machine learning. The default preset adjustable value is 0.003; the standard coal CO2 emission factor 135, denoted as EF2, with the unit of kg CO2 / kg standard coal, and the default preset adjustable value is 2.7725; the electricity consumption carbon emission factor 136, denoted as EF3, with the unit of kg CO2 / kW·h; the carbon emission factor 137 of the j-th chemical agent, denoted as EF 4j , with the unit of kg CO2 / kg. For example, the carbon emission factor of the carbon source chemical agent can be denoted as EF 41 , and the carbon emission factor of the phosphorus removal chemical agent can be denoted as EF 42 . The values of different chemical agents can be obtained through the latest IPCC announcements, standards (specifications, guidelines, announcements, etc.) issued by official or authoritative industry institutions, retrieval and query of authoritative scientific and technological literature such as CNKI, or channels such as AI machine learning; the N2O global warming potential 138, denoted as GWP1, with the unit of kg CO2 / kgN2O, and the CH4 global warming potential 139, denoted as GWP2, with the unit of kg CO2 / kg CH4.

[0103] Specifically, both the N2O global warming potential 138 and the CH4 global warming potential 139 are obtained through the latest IPCC announcements, standards (specifications, guidelines, announcements, etc.) issued by official or authoritative industry institutions, retrieval and query of authoritative scientific and technological literature such as CNKI, or channels such as AI machine learning. The default preset adjustable values are: GWP1 takes the value of 265, corresponding to GWP2 taking the value of 28; or GWP1 takes the value of 310, corresponding to GWP2 taking the value of 21.

[0104] Furthermore, the activity information ratio parameter 21 includes: the electricity consumption 211a for the average water treatment volume per ton, denoted as el, with the unit of kW·h / m 3 ; the electricity consumption 211b for the average water treatment volume per ton in the partition section, denoted as el i, unit: kW·h / m 3 ; The dry sludge production rate per average ton of water treatment is 212, denoted as w, unit: kg DS / m 3 ; The fossil fuel combustion consumption rate per average ton of water treatment is 213, denoted as f, unit: kg standard coal / m 3 ; The purchased heat consumption rate per average ton of water treatment is 214a, denoted as h, unit: kg standard coal / m 3 ; The purchased heat consumption rate per average ton of water treatment for the partition section is 214b, denoted as h i , numerical unit: kg standard coal / m 3 ; The chemical consumption of the j-th production chemical per average ton of water treatment is 215a, denoted as ch j , unit: mg / L, the chemical consumption of the j-th chemical per average ton of water treatment for the partition section is 215b, the key chemical consumption index is 215c, denoted as ch’, unit: mg / L; The CH4 recovery ratio per average ton of water treatment is 216, denoted as V C , unit: kg / m 3 ;

[0105] Specifically, the power consumption per average ton of water treatment is 211a, el = purchased electricity El ÷ (actual water treatment volume Q × 10); the power consumption per average ton of water treatment for the partition section is 211b, el i = measured electricity volume El i ÷ (actual water treatment volume Q × 10), such as for the pretreatment section: el1 = El1 ÷ (Q × 10), for the biochemical treatment section: el2 = El2 ÷ (Q × 10), for the advanced treatment section: el3 = El3 ÷ (Q × 10), for the sludge treatment and disposal section: el4 = El4 ÷ (Q × 10), for the deodorization treatment section: el5 = El5 ÷ (Q × 10); the dry sludge production rate per average ton of water treatment is 212, w = treated and disposed sludge output Ws × (1 - treated and disposed sludge moisture content rw) ÷ (actual water treatment volume Q × 10); the fossil fuel combustion consumption rate per average ton of water treatment is 213, f = fossil fuel consumption F ÷ (actual water treatment volume Q × 10); the purchased heat consumption rate per average ton of water treatment is 214a, h = purchased heat H ÷ (actual water treatment volume Q × 10); the purchased heat consumption rate per average ton of water treatment for the partition section is 214b, h i = measured heat volume H i ÷ (actual water treatment volume Q × 10), such as for the pretreatment section: h1 = H1 ÷ (Q × 10), for the biochemical treatment section: h2 = H2 ÷ (Q × 10), for the advanced treatment section: h3 = H3 ÷ (Q × 10), for the sludge treatment and disposal section: h4 = H4 ÷ (Q × 10), for the deodorization treatment section: h5 = H5 ÷ (Q × 10).

[0106] The chemical consumption of the j-th production chemical per average ton of water treatment is 215a, chj = Consumption of the j-th production chemical, Ch j × 100 ÷ Actual treated water volume Q. As previously marked, if the consumption of carbon source chemical is denoted as Ch1, then the carbon source chemical consumption per ton of treated water, ch1 = Ch1 × 100 ÷ Actual treated water volume Q; if the consumption of phosphorus removal chemical is denoted as Ch2, then the phosphorus removal chemical consumption per ton of treated water, ch2 = Ch2 × 100 ÷ Actual treated water volume Q; if the consumption of disinfection chemical is denoted as Ch3, then the disinfection chemical consumption per ton of treated water, ch3 = Ch3 × 100 ÷ Actual treated water volume Q. And so on for the j-th chemical. The chemical consumption per ton of treated water for the j-th chemical in each sub-section, 215b, can be calculated by multiplying the consumption of the j-th chemical consumed in each sub-section according to the statistics, multiplying by 100, and then dividing by the actual treated water volume Q. The method is the same as the above. The power consumption per ton of treated water in each sub-section, 211b, the external heat consumption rate per ton of treated water in each sub-section, 214b, and the chemical consumption per ton of treated water for the j-th chemical in each sub-section, 215b, see Figure 3 as shown in 3c of

[0107] Key chemical consumption index 215c, ch’ = (Carbon source chemical consumption per ton of treated water ch1 × Carbon source chemical index assignment ra1 + Phosphorus removal chemical consumption per ton of treated water ch2 × Phosphorus removal chemical index assignment ra2 + Disinfection chemical consumption per ton of treated water ch3 × Disinfection chemical index assignment ra3); CH4 recovery ratio per ton of treated water, 216, its value = 0.717 × CH4 recovery volume V CH / (Actual treated water volume Q × 10 4 ).

[0108] Single pollutant reduction concentration parameter 22, unit is mg / L, including: BOD5 average reduction concentration 221, denoted as △BOD5, COD average reduction concentration 222, denoted as △COD, NH3-N average reduction concentration 223, denoted as △NH, TN average reduction concentration 224, denoted as ΔTN, TP average reduction concentration 225, denoted as ΔTP;

[0109] Specifically, ΔBOD5 = (Average influent BOD5 concentration BOD i - Average effluent BOD5 concentration BOD e ); ΔCOD = (Average influent COD concentration COD i - Average effluent COD concentration COD e ); ΔNH = (Average influent NH3-N concentration NH i - Average effluent NH3-N concentration NH e ); ΔTN = (Average influent TN concentration TN i- Average concentration of TN in effluent TN e ); ΔTP = (Average concentration of TP in influent TP i - Average concentration of TP in effluent TP e ).

[0110] The multi - pollutant reduction concentration parameter 23 includes: The average reduction concentration 231a of the first oxygen - consuming pollutant, denoted as R bn , with the unit of mg / L; The average reduction concentration 231b of the second oxygen - consuming pollutant, denoted as R cn , with the unit of mg / L; The average reduction concentration 232 of the comprehensive pollutant, denoted as R t , with the unit of mg / L.

[0111] Specifically, the average reduction concentration (calculated based on BOD5 and ammonia nitrogen) 231a of the first oxygen - consuming pollutant, R bn = ΔBOD5 + 3.5×ΔNH; The average reduction concentration (calculated based on COD and ammonia nitrogen) 231b of the second oxygen - consuming pollutant, R cn = ΔCOD + 3.5×ΔNH; The average reduction concentration 232 of the comprehensive pollutant, whose value is related to the single - pollutant reduction concentration parameter 22 and the weight assignment ratio 126 of the comprehensive pollutant index, that is, R t = ΔBOD5×rb1 + ΔCOD×rb2 + ΔNH×rb3 + ΔTN×rb4 + ΔTP×rb5.

[0112] Furthermore, the direct carbon emission intensity 31, CEI1 = N2O carbon emission intensity CEI 1a + CH4 carbon emission intensity CEI 1b + CO2 carbon emission intensity CEI 1c , including: N2O carbon emission intensity 311, denoted as CEI 1a , with the unit of kg CO2 / m 3 , CH4 carbon emission intensity 312, denoted as CEI 1b , with the unit of kg CO2 / m 3 , CO2 carbon emission intensity 313, denoted as CEI 1c , with the unit of kg CO2 / m 3 ; The indirect carbon emission intensity 32, CEI2 = Carbon emission intensity of electricity consumption CEI 2a + Carbon emission intensity of heat consumption CEI 2b + Carbon emission intensity of chemical consumption CEI 2c , including: Carbon emission intensity of electricity consumption 321, denoted as CEI 2a , with the unit of kg CO2 / m 3 、Carbon emission intensity of heat consumption 322, denoted as CEI 2b , with the unit of kg CO2 / m 3, the carbon emission intensity of chemical consumption is 323, denoted as CEI 2c , with the unit of kg CO2 / m 3 ;

[0113] Specifically, the N2O carbon emission intensity is 311, CEI 1a = the average reduction concentration of TN, △TN × 10 -3 × the N2O emission factor EF1 × 44 ÷ 28 × the N2O global warming potential GWP1; the CH4 carbon emission intensity is 312, CEI 1b = [(the average reduction concentration of COD, △COD × 10 -3 - 1.42 × the dry sludge production rate w of the average ton of water treatment × the organic matter content f in the average dry sludge) × the CH4 production rate coefficient B0 for anaerobic degradation of unit COD × the CH4 correction factor MCF - the CH4 recovery ratio V of the average ton of water treatment] C × the CH4 global warming potential GWP2; the CO2 carbon emission intensity is 313, CEI 1c = the fossil fuel combustion consumption rate f of the average ton of water treatment × the standard coal CO2 emission factor EF2.

[0114] The carbon emission intensity of electricity consumption is 321, CEI 2a = the electricity consumption el of the average ton of water treatment × the carbon emission factor of electricity consumption EF3; the carbon emission intensity of heat consumption is 322, CEI 2b = the purchased heat consumption rate h of the average ton of water treatment × the standard coal CO2 emission factor EF2; the carbon emission intensity of chemical consumption is 323, which is the sum of the carbon emission intensities of all j kinds of chemicals (from the 1st to the most sorted jth kind), (the carbon emission intensity of the jth chemical is 323’), where: the carbon emission intensity of the jth chemical 323’ (denoted as CEI 2c-j , with the unit of kg CO2 / m 3 ), CEI 2c-j = the chemical consumption ch of the average ton of water treatment for the jth production chemical j × the carbon emission factor EF of the jth chemical 4j × 10 -3 , for example: the carbon emission intensity of the carbon source chemical CEI 2c-1 = the carbon source chemical consumption ch1 of the average ton of water treatment × the carbon emission factor EF of the carbon source chemical 41 × 10 -3 , the carbon emission intensity of the phosphorus removal chemical CEI 2c-2 = the phosphorus removal chemical consumption ch2 of the average ton of water treatment × the carbon emission factor EF of the phosphorus removal chemical 42 × 10 -3 , and so on.

[0115] The indirect carbon emission intensity of segmented sections 33 includes the indirect carbon emission intensity 33A of the sewage pretreatment section, the indirect carbon emission intensity 33B of the sewage biochemical treatment section, the indirect carbon emission intensity 33C of the sewage advanced treatment section, the indirect carbon emission intensity 33D of the sludge treatment and disposal section, and the indirect carbon emission intensity 33E of the plant deodorization treatment section. See Figure 3 as shown in 3d in 3 .

[0116] Specifically, taking the sewage pretreatment section and the sewage biochemical treatment section as examples: The indirect carbon emission intensity of the sewage pretreatment section, its value = the electricity consumption carbon emission intensity CEI of the pretreatment section 2a-1 + the heat consumption carbon emission intensity CEI of the pretreatment section 2b-1 + the chemical consumption carbon emission intensity CEI of the pretreatment section 2c-1 ; The indirect carbon emission intensity of the sewage biochemical treatment section, its value = the electricity consumption carbon emission intensity CEI of the biochemical treatment section 2a-2 + the heat consumption carbon emission intensity CEI of the biochemical treatment section 2b-2 + the chemical consumption carbon emission intensity CEI of the biochemical treatment section 2c-2 . The indirect carbon emission intensity of the remaining sections can be deduced by analogy.

[0117] Among them: The electricity consumption carbon emission intensity 331 of the segmented section includes 331A to 331E (denoted as CEI 2a-i ), and the value of CEI for each section 2a-i = the electricity consumption el of the average water treatment volume per ton of the segmented section i × the electricity consumption carbon emission factor EF3. For example, for the pretreatment section 331A: CEI 2a-1 = el1×EF3, for the biochemical treatment section 331B: CEI 2a-2 = el2×EF3, for the advanced treatment section 331C: CEI 2a-3 = el3×EF3, for the sludge treatment and disposal section 331D: CEI 2a-4 = el4×EF3, for the deodorization treatment section 331E: CEI 2a-5 = el5×EF3. The heat consumption carbon emission intensity 332 of the segmented section includes 332A to 332E (denoted as CEI 2b-i ), CEI 2b-i = the purchased heat consumption rate h of the average water treatment volume per ton of the segmented section i × the standard coal CO2 emission factor EF2. For example, for the pretreatment section: CEI 2b-1 = h1×EF2, for the biochemical treatment section: CEI 2b-2 = h2×EF2, for the advanced treatment section: CEI2b-3 = h3 × EF2, Sludge treatment and disposal section: CEI 2b-4 = h4 × EF2, Deodorization treatment section: CEI 2b-5 = h5 × EF2. The chemical consumption carbon emission intensity of the partition section 333, including 333A - 333E (denoted as CEI 2c-i , corresponding to the CEI of the pretreatment section 2c-1 , the CEI of the biochemical treatment section 2c-2 , the CEI of the advanced treatment section 2c-3 , the CEI of the sludge treatment and disposal section 2c-4 , the CEI of the deodorization treatment section 2c-5 ), which is obtained by multiplying the chemical consumption of the average water treatment volume per ton of the j - th chemical agent belonging to each partition section according to the statistics, 215b, by the carbon emission factor of the corresponding j - th chemical agent and then summing up.

[0118] Furthermore, the actual carbon emission intensity 41, denoted as CEI, with the unit of kg CO2 / m 3 , is the sum of the direct carbon emission intensity 31 and the indirect carbon emission intensity 32. The direct carbon emission intensity 31 is denoted as CEI1, and the indirect carbon emission intensity 32 is denoted as CEI2, both with the unit of kg CO2 / m 3 , that is: CEI = CEI1 + CEI2, both with the unit of kg CO2 / m 3 ; The total actual carbon emission 42, denoted as CES, with the unit of t CO2, CES = actual carbon emission intensity CEI × actual water treatment volume Q × 10;

[0119] The carbon emission intensity 43 based on the pollutant reduction ratio includes: The first carbon emission intensity based on the reduction of oxygen - consuming pollutants 431a, denoted as CEI bn , with the unit of kg CO2 / kg, the second carbon emission intensity based on the reduction of oxygen - consuming pollutants 431b, denoted as CEI cn , with the unit of kg CO2 / kg, and the carbon emission intensity based on the reduction of comprehensive pollutants 432, denoted as CEI t , with the unit of kg CO2 / kg;

[0120] Specifically, the first carbon emission intensity based on the reduction of oxygen - consuming pollutants (calculated by BOD5 and ammonia nitrogen), CEI bn = actual carbon emission intensity CEI ÷ average reduction concentration of the first oxygen - consuming pollutants (calculated by BOD5 and ammonia nitrogen) R bn × 10 3 . The second carbon emission intensity based on the reduction of oxygen - consuming pollutants (calculated by COD and ammonia nitrogen), CEI cn = actual carbon emission intensity CEI ÷ average reduction concentration of the second oxygen - consuming pollutants (calculated by COD and ammonia nitrogen) R cn × 10 3The carbon emission intensity based on the comprehensive pollutant reduction, whose value is CEI t = actual carbon emission intensity CEI ÷ average reduction concentration R of the comprehensive pollutant t × 10 3 .

[0121] The carbon emission intensity 44 based on the energy and medicine consumption ratio includes: the carbon emission intensity 441 based on unit power consumption, denoted as CEI el , with the unit of kg CO2 / kW·h, and the carbon emission intensity 442 based on the key medicine consumption index, denoted as CEI ch’ , with the unit of kgCO2 / kg.

[0122] Specifically, for the carbon emission intensity based on unit power consumption, CE Iel = actual carbon emission intensity CEI ÷ power consumption el of the average tonnage of water treatment. For the carbon emission intensity based on the key medicine consumption index, its value CEI ch’ = actual carbon emission intensity CEI ÷ key medicine consumption index ch’ × 10 3 .

[0123] Specifically, in the I / O accounting model device of the index parameters, examples of the process index and result index content of the output are shown in Tables 11 - 18.

[0124] Table 11 Indirect carbon emission intensity of the sewage treatment plant by section

[0125]

[0126] Table 12 Carbon emission intensity of the sewage treatment plant by section due to power consumption

[0127]

[0128] Table 13 Carbon emission intensity of the sewage treatment plant by section due to heat consumption

[0129]

[0130] Table 14 Carbon emission intensity of the sewage treatment plant by section due to medicine consumption

[0131]

[0132] Table 15 Details of the direct and indirect carbon emission intensities of the sewage treatment plant

[0133] Index Serial Number Parameter Value Unit Remarks 31 Direct Carbon Emission Intensity 0.147 <![CDATA[kgCO2 / m 3 > 32 Indirect Carbon Emission Intensity 0.488 <![CDATA[kgCO2 / m 3 > 311 <![CDATA[Carbon emission intensity of N2O]]> 0.145 <![CDATA[kgCO2 / m 3 > 312 <![CDATA[CH4 carbon emission intensity]]> 0.001 <![CDATA[kgCO2 / m 3 > 313 <![CDATA[CO2 carbon emission intensity]]> 0.000 <![CDATA[kgCO2 / m 3 > 321 Carbon Emission Intensity of Electricity Consumption 0.240 <![CDATA[kgCO2 / m 3 > 322 Carbon Emission Intensity of Heat Consumption 0.000 <![CDATA[kgCO2 / m 3 > 323 Carbon Emission Intensity of Chemical Consumption 0.248 <![CDATA[kgCO2 / m 3 >

[0134] Table 16 Result indicators of the carbon emission intensity of the sewage treatment plant

[0135]

[0136] Table 17 Results of the Carbon Neutralization Rate of the Clean Energy Contribution of the Sewage Treatment Plant

[0137]

[0138] Table 18 Carbon Emission Intensity of the j-th Chemical Agent in the Sewage Treatment Plant

[0139]

[0140] Furthermore, the carbon emission reduction benefits 51 include: the carbon emission reduction intensity 511, denoted as CEI Δ , with the unit of kg CO2 / m 3 , the carbon emission reduction amount 512, denoted as CES Δ , with the unit of t CO2;

[0141] Specifically, taking a single water plant as an example: If the actual carbon emission intensity values in the base year (y0) and the inspection year (y1) are respectively denoted as CEI y0 、CEI y1 , then the carbon emission reduction intensity value CEI Δ = CEI y0 - CEI y1 (Equation 1-1), or CEI Δ = CEI y1 - CEI y0 (Equation 1-2) ， If the actual total carbon emissions in its base year (y0) and inspection year (y1) are respectively denoted as CES y0 、CES y1 , then the carbon emission reduction amount value CES Δ = CES y0 - CES y1 (Equation 2-1), or CES Δ = CES y1 - CES y0 (Equation 2-2). The results of CEI Δ and CES Δ in the scenarios of Equation 1-1 and Equation 2-1 are characterized as: positive value (result > 0) represents a reduction in carbon emissions in the inspection year compared to the base year, and the emission reduction indication arrow: ↓ (carbon reduction); negative value (result < 0) represents an increase in carbon emissions in the inspection year compared to the base year, and the emission reduction indication arrow: ↑ (carbon increase); the results of CEI △ and CES Δ in the scenarios of Equation 1-2 and Equation 2-2 are characterized as: negative value (result < 0) represents a reduction in carbon emissions in the inspection year compared to the base year, and the emission reduction indication arrow: ↓ (carbon reduction); positive value (result > 0) represents an increase in carbon emissions in the inspection year compared to the base year, and the emission reduction indication arrow: ↑ (carbon increase), CEI△ 、For an example of CES, see Table 19 below. △

[0142] Table 19 Carbon emission reduction benefits of the assessment cycle of sewage treatment plants

[0143] Index Serial Number Parameter Year Value Unit Emission Reduction Index <![CDATA[41 y0 > Actual Carbon Emission Intensity <![CDATA[Reference period: year y0]]> 0.63 <![CDATA[kgCO2 / m 3 > <![CDATA[41 y1 > Actual Carbon Emission Intensity <![CDATA[Investigation period: year y1]]> 0.52 <![CDATA[kgCO2 / m 3 > 511 Carbon Emission Reduction Intensity <![CDATA[Analogy between year y0 and year y1]]> 0.11 <![CDATA[kgCO2 / m 3 > ↓(Carbon Reduction) <![CDATA[42 y0 > Actual Carbon Emission Intensity <![CDATA[Reference period: year y0]]> 4673 <![CDATA[tCO2]]> <![CDATA[42 y1 > Actual Carbon Emission Intensity <![CDATA[Investigation period: year y1]]> 3657 <![CDATA[tCO2]]> 512 Carbon Emission Reduction Quantity <![CDATA[Analogy between year y0 and year y1]]> 1016 <![CDATA[tCO2]]> ↓(Carbon Reduction)

[0144] In the ranking of the impact of carbon emission weights of single sewage treatment plants (52), for the ranking method of the carbon emission intensity weights of single-plant sources, see Figure 4 as shown below. For example, in the ranking analogy between the direct carbon emission intensity 31 and the indirect carbon emission intensity 32, the ranking analogy between different chemicals in the carbon emission intensity 323' of the j-th chemical agent, and the ranking analogy between the pretreatment section 331A, biochemical treatment section 331B, advanced treatment section 331C, sludge treatment and disposal section 331D, and plant area deodorization treatment section 331E in the carbon emission intensity of power consumption 331 in different sections; professional tabulation and graphing tools such as Excel, Origin, and Spss can be used to list, and priority ranking statistical analysis can be carried out for different sub-elements. See Figure 5 examples, including: the ranking analogy between the N2O carbon emission intensity 311, CH4 carbon emission intensity 312, CO2 carbon emission intensity 313, carbon emission intensity of power consumption 321, carbon emission intensity of heat consumption 322, and carbon emission intensity of chemical consumption 323 elements. The result presentation example is as Figure 5 shown in Figure a and Table 20 below;

[0145] Table 20 Priority ranking of the classified detailed item values and weights of the carbon emission intensity of sewage treatment plants

[0146]

[0147] Furthermore, supplemented with examples of the ranking analogy between the indirect carbon emission intensities 33 in different sections, including the indirect carbon emission intensity 33A in the sewage pretreatment section, the indirect carbon emission intensity 33B in the sewage biochemical treatment section, the indirect carbon emission intensity 33C in the sewage advanced treatment section, the indirect carbon emission intensity 33D in the sludge treatment and disposal section, and the indirect carbon emission intensity 33E in the plant area deodorization treatment section. The result presentation is as Figure 5 shown in Figure b and Table 21 below;

[0148] Table 21 Priority ranking of the distribution values and weights of each section in the indirect carbon emission intensity of sewage treatment plants

[0149]

[0150] The quantitative analogy of carbon emissions from single and multiple water plants 53 includes a horizontal analogy method of multi-index systems for carbon emissions from single-plant sources 531 and multi-plant sources 532;

[0151] Specifically, see Figure 6 As shown, it is listed using professional tabulation and graphing tools such as Excel, Origin, and Spss. During the analogy period between the investigation period (y1) and the baseline period (y0), the multi-index system includes: actual carbon emission intensity 41, actual total carbon emissions 42, the first carbon emission intensity based on the reduction of oxygen-consuming pollutants 431a, the second carbon emission intensity based on the reduction of oxygen-consuming pollutants 431b, carbon emission intensity based on the reduction of comprehensive pollutants 432, carbon emission intensity based on unit power consumption 441, carbon emission intensity based on the key drug consumption index 442. See Figure 7 As shown, among them, the horizontal comparison chart of the actual carbon emission intensity 41 of multi-plant sources can be seen in Figure 7 Figure a and Table 22. The horizontal comparison chart of the carbon emission intensity 432 based on the reduction of comprehensive pollutants can be seen in Figure 7 Figure b and Table 23.

[0152] Table 22 Horizontal comparison of actual carbon emission intensity of multi-plant sources

[0153]

[0154]

[0155] Table 23 Horizontal comparison of carbon emission intensity based on the reduction of comprehensive pollutants of multi-plant sources

[0156]

[0157] The carbon neutralization rate contributed by clean energy 54 = self-generated clean energy electricity E cl ÷ purchased electricity El × 100%.

[0158] For the judgment of the correlation trend of carbon emissions from multi-plant sources (when at least five or more plant sources are involved), see Figure 8As shown, it is listed using professional tabulation and graphing tools such as Excel, Origin, and Spss, including the first carbon emission intensity 431a based on the reduction of oxygen-consuming pollutants, the second carbon emission intensity 431b based on the reduction of oxygen-consuming pollutants, the carbon emission intensity 432 based on the reduction of comprehensive pollutants, the carbon emission intensity 441 based on unit power consumption, the carbon emission intensity 442 based on the key drug consumption index, the average reduction concentration 221a of the first oxygen-consuming pollutant, the average reduction concentration 221b of the second oxygen-consuming pollutant, the average reduction concentration 222 of comprehensive pollutants, the power consumption 211a of average tons of water treatment, and the correlation analysis of the correlation between the key drug consumption index 215c and the actual carbon emission intensity 41 in each independent index system, that is, taking the actual carbon emission intensity 41 as the abscissa and the values of each independent index system as the ordinate. For example, the linear (y = bx + a) examples between the second carbon emission intensity 431b based on the reduction of oxygen-consuming pollutants and the actual carbon emission intensity 41, between the carbon emission intensity 432 based on the reduction of comprehensive pollutants and the actual carbon emission intensity 41, between the power consumption 211a of average tons of water treatment and the actual carbon emission intensity 41, and between the key drug consumption index 215c and the actual carbon emission intensity 41, see Figure 9 as shown in 9a - 9d of 2 The higher the value is, the better the correlation is characterized. And a hierarchical correlation degree is established for this, as shown in Table 24: When the correlation coefficient R 2 ≥0.9, it is a very high correlation degree. When 0.75 ≤ R 2 <0.9, it is a relatively high correlation degree. When 0.60 ≤ R 2 <0.75, it is a medium correlation degree. When 0.40 ≤ R 2 <0.60, it is a weak correlation degree. When R 2 <0.4, it is a low correlation degree.

[0159] Table 24 Evaluation Logic of Hierarchical Correlation Degree of Associated Trends of Carbon Emissions from Multiple Plant Sources

[0160]

[0161]

[0162] By calculating the carbon emission indicative measurement indicators and presenting them in a visual chart display form, the carbon emission indicative indicators of sewage treatment plants in different time periods or different sewage treatment plants can be compared and analyzed, and low-carbon decision-making evaluation can be carried out to measure and evaluate the contribution of the production behavior activities of the same or different carbon emission entities (sewage treatment plants) in treating sewage to greenhouse gas carbon emissions, as well as the low-carbon control strategies and benefits.

[0163] A storage medium adopts several encryption storage functions of a local computer, mobile storage, and cloud storage to execute the above-mentioned method for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant. The storage period includes data for several years, covering the carbon emission activity information of several multi-water plants and presenting the results of the accounting comparison in table and graph forms.

[0164] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same and similar parts among the various embodiments, reference can be made to each other.

[0165] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant, characterized in that It includes the following steps: Based on the procedures of statistical period selection, activity information collection, data verification and correction, correlation factor selection, starting the accounting process, and showing the index results, the index results are obtained; When the index results establish a longitudinal evaluation object for a single sewage treatment plant, carbon efficiency analysis and evaluation, weight influence ranking, and cross-analogy analysis of single-plant sources are carried out to obtain the evaluation results of the single sewage treatment plant; When the index results establish a horizontal evaluation object for multiple sewage treatment plants, the correlation trend judgment of multi-plant sources and the cross-analogy analysis of multi-plant sources are carried out to obtain the evaluation results of multiple sewage treatment plants; Optimize the operation decision according to the evaluation results of the single sewage treatment plant and the evaluation results of multiple sewage treatment plants; The statistical period selection includes: annual period, semi-annual, quarterly, monthly period, or the start and end dates of the statistics; The activity information collection includes: presetting the index dictionary of carbon emissions, and obtaining the activity data of sewage, electricity, treated and disposed sludge, chemicals, heat, and coal during the formal operation stage of the sewage treatment plant through instrument and meter measurement and monitoring, manual detection, or meter reading statistics; The data verification and correction include: retaining, eliminating, correcting, and rechecking and correcting the activity data; The correlation factor selection includes: pollution discharge coefficient, emission factor, and global warming potential of greenhouse gases; Starting the accounting process includes: quantitatively inputting relevant parameters; Showing the index results includes: obtaining the results of multiple index parameters through the preset accounting logic and algorithm program; The activity data includes the input parameters (1), calculation parameters (2), process indicators (3), result indicators (4), and carbon efficiency indicators (5) of the sewage treatment plant; The input parameters (1) include production activity information (11), water quality treatment information (12), and correlation factors (13); The calculation parameters (2) include activity information ratio parameters (21), single-pollutant reduction concentration parameters (22), and multi-pollutant reduction concentration parameters (23); The process indicators (3) include direct carbon emission intensity (31), indirect carbon emission intensity (32), and indirect carbon emission intensity of segmented areas (33); The result indicators (4) include actual carbon emission intensity (41), actual total carbon emissions (42), carbon emission intensity based on pollutant reduction ratio (43), and carbon emission intensity based on energy and chemical consumption ratio (44); The carbon efficiency indicators (5) include carbon emission reduction benefits (51), quantitative analogy of carbon emissions of single sewage treatment plants (52), quantitative analogy of carbon emissions of single sewage treatment plants (53), carbon neutralization rate of clean energy contribution (54), and correlation trend judgment of carbon emissions of multi-plant sources (55); The carbon emission reduction benefits (51) include: carbon emission reduction intensity (511), denoted as CEI r , with the unit of kg CO2 / m 3 , carbon emission reduction volume (512), denoted as CES r , with the unit of ton CO2; The weight influence ranking of carbon emissions of single sewage treatment plants (52) is listed using Excel, Origin, and Spss tabulation and graphing tools, and priority ranking statistical analysis is carried out for different sub-elements; The quantitative analogy of carbon emissions of multiple sewage treatment plants (53) includes the horizontal analogy method of multi-index systems for carbon emissions of single-plant sources (531) and carbon emissions of multi-plant sources (532); Clean energy contribution to carbon neutrality rate (54) = Self-generated clean energy power E cl ÷ Purchased power El × 100%; The correlation trend judgment of carbon emissions of multi-plant sources (55) is listed using Excel, Origin, and Spss tabulation and graphing tools, and trend correlation analysis and grading judgment are carried out between specified indicators.

2. The method for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant according to claim 1, wherein The accounting boundary of the production activity information (11) is limited to the formal operation stage within the plant boundary of the sewage treatment plant, including: the actual treated water volume (111), denoted as Q, with the unit of 10,000 m 3 , which is obtained by statistical calculation of the in - flow or out - flow online flowmeter; the purchased electricity (112a), denoted as El, with the unit of MW·h, and 1MW·h = 10 3 kW·h, the metered electricity in sub - sections (112b), denoted as El i , with the unit of MW·h, the self - generated electricity from clean energy (112c), denoted as Ecl, with the unit of MW·h; the output of treated and disposed sludge (113a), denoted as Ws, with the unit of ton, the moisture content of the treated and disposed sludge (113b), denoted as rw, with the unit of %; the consumption of fossil fuels (114), denoted as F, with the unit of ton; the purchased heat (115a), denoted as H, with the unit of ton, the metered heat in sub - sections (115b); the name of the j - th production chemical (116a), the consumption of the j - th production chemical (116b), denoted as Ch j , with the unit of ton; the consumption of the j - th chemical in sub - sections (116c), with the unit of ton, and each sub - section is divided into: A - 116c, B - 116c, C - 116c, D - 116c, E - 116c; the assigned ratio of the consumption index of key chemicals (116d); the recovered volume of CH4 (117), denoted as V CH , with the unit of m 3 ; Water quality treatment information (12) unit: mg / L, including: average influent BOD5 concentration (121a), denoted as BOD i ; average effluent BOD5 concentration (121b), denoted as BOD e ; average influent COD concentration (122a), denoted as COD i ; average effluent COD concentration (122b), denoted as COD e , average influent NH3-N concentration (123a), denoted as NH i ; average effluent NH3-N concentration (123b), denoted as NH e ; average influent TN concentration (124a), denoted as TN i ; average effluent TN concentration (124b), denoted as TN e ; average influent TP concentration (125a), denoted as TP i ; average effluent TP concentration (125b), denoted as TP e ; weight ratio of comprehensive pollutant index (126); The associated factors (13) include: the organic matter content in the average dry sludge (131), denoted as f, with the unit of kg VSS / kg DS; the N2O emission factor (132), denoted as EF1, with the unit of kg N2O / kg TN; the CH4 production rate coefficient (133) when anaerobic degrades unit COD, denoted as B0, with the unit of kg CH4 / kg COD; the CH4 correction factor (134), denoted as MCF; the CO2 emission factor of standard coal (135), denoted as EF2, with the unit of kg CO2 / kg standard coal; the carbon emission factor of power consumption (136), denoted as EF3, with the unit of kg CO2 / kW·h; the carbon emission factor of the j-th reagent (137), denoted as EF 4j , with the unit of kg CO2 / kg; the global warming potential of N2O (138), denoted as GWP1, with the unit of kg CO2 / kg N2O, and the global warming potential of CH4 (139), denoted as GWP2, with the unit of kg CO2 / kg CH4.

3. A method for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant according to claim 1, characterized in that, The activity information ratio parameter (21) includes: the power consumption for the average water treatment volume per ton (211a), denoted as el, with the unit of kW·h / m 3 ; the power consumption for the average water treatment volume per ton in a partitioned section (211b), denoted as el i , with the unit of kW·h / m 3 ; the dry sludge production rate for the average water treatment volume per ton (212), denoted as w, with the unit of kg DS / m 3 ; the fossil fuel combustion consumption rate for the average water treatment volume per ton (213), denoted as f, with the unit of kg standard coal / m 3 ; the purchased heat consumption rate for the average water treatment volume per ton (214a), denoted as h, with the unit of kg standard coal / m 3 ; the purchased heat consumption rate for the average water treatment volume per ton in a partitioned section (214b), denoted as h i , with the numerical unit: kg standard coal / m 3 ; the chemical consumption for the average water treatment volume per ton of the j-th production chemical (215a), denoted as ch j , with the unit of mg / L, the chemical consumption for the average water treatment volume per ton of the j-th chemical in a partitioned section (215b), with the unit of mg / L; the key chemical consumption index (215c), denoted as ch’, with the unit of mg / L; the CH4 recovery ratio for the average water treatment volume per ton (216), denoted as V C , with the unit of kg / m 3 ; The single pollutant reduction concentration parameter (22) is in the unit of mg / L, including: the average BOD5 reduction concentration (221), denoted as rBOD5, the average COD reduction concentration (222), denoted as rCOD, the average NH3-N reduction concentration (223), denoted as rNH, the average TN reduction concentration (224), denoted as rTN, and the average TP reduction concentration (225), denoted as rTP; The multi-pollutant reduction concentration parameters (23) include: the average reduction concentration (231a) of the first oxygen-consuming pollutant, denoted as R bn , with the unit of mg / L; the average reduction concentration (231b) of the second oxygen-consuming pollutant, denoted as R cn , with the unit of mg / L; the average reduction concentration (232) of the comprehensive pollutant, denoted as R t , with the unit of mg / L.

4. A method for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant, characterized in that Direct carbon emission intensity (31) includes: N2O carbon emission intensity (311), denoted as CEI 1a , with the unit of kg CO2 / m 3 , CH4 carbon emission intensity (312), denoted as CEI 1b , with the unit of kg CO2 / m 3 , CO2 carbon emission intensity (313), denoted as CEI 1c , with the unit of kg CO2 / m 3 ; Indirect carbon emission intensity (32) includes: electricity consumption carbon emission intensity (321), denoted as CEI 2a , with the unit of kg CO2 / m 3 , heat consumption carbon emission intensity (322), denoted as CEI 2b , with the unit of kg CO2 / m 3 , medicine consumption carbon emission intensity (323), denoted as CEI 2c , with the unit of kgCO2 / m 3 ; The indirect carbon emission intensity of segmented sections (33) includes the indirect carbon emission intensity of the sewage pretreatment section (33A), the indirect carbon emission intensity of the sewage biochemical treatment section (33B), the indirect carbon emission intensity of the sewage advanced treatment section (33C), the indirect carbon emission intensity of the sludge treatment and disposal section (33D), and the indirect carbon emission intensity of the plant deodorization treatment section (33E). Each section includes: the electricity consumption carbon emission intensity of the segmented section (331), the heat consumption carbon emission intensity of the segmented section (332), and the chemical consumption carbon emission intensity of the segmented section (333), with the unit of kg CO2 / m 3 .

5. A method for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant, characterized in that, The actual carbon emission intensity (41), denoted as CEI, with the unit of kg CO2 / m 3 , is the sum of the direct carbon emission intensity (31) and the indirect carbon emission intensity (32). The direct carbon emission intensity (31) is denoted as CEI1, and the indirect carbon emission intensity (32) is denoted as CEI2, both with the unit of kg CO2 / m 3 , that is: CEI = CEI1 + CEI2; The total actual carbon emissions (42), denoted as CES, with the unit of t CO2, CES = actual carbon emission intensity CEI × actual water treatment volume Q × 10; The carbon emission intensity based on the pollutant reduction ratio (43) includes: the first carbon emission intensity based on the reduction of oxygen-consuming pollutants (431a), denoted as CEI bn , with the unit of kg CO2 / kg, the second carbon emission intensity based on the reduction of oxygen-consuming pollutants (431b), denoted as CEI cn , with the unit of kg CO2 / kg, the carbon emission intensity based on the reduction of comprehensive pollutants (432), denoted as CEI t , with the unit of kgCO2 / kg; The carbon emission intensity based on the ratio of energy consumption for pharmaceutical production (44) includes: the carbon emission intensity based on unit power consumption (441), denoted as CEI el , with the unit of kg CO2 / kW·h, and the carbon emission intensity based on the key pharmaceutical consumption index (442), denoted as CEI ch’ , with the unit of kg CO2 / kg.

6. A storage medium, which adopts several encryption storage functions of a local computer, a mobile storage, and a cloud storage to execute the method for carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant described in any one of claims 1-5. The storage period includes data for several years, covering the carbon emission activity information of several multi-water plants and the results of the accounting comparison presentation diagrams.

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