Method for carbon emission accounting and multi-dimensional analogy in operation period of sewage treatment plant and storage medium

Abstract

The invention discloses a method for carbon emission accounting and multi-dimensional analogy in the operation period of a sewage treatment plant and a storage medium, and relates to the technical field of environmental protection treatment and clean energy resources. Comprising the following steps: obtaining an index result based on statistical period selection, activity information collection, data checking and correction, association factor selection, starting of an accounting program and an index result showing program; when the index result establishes a longitudinal evaluation object with a single sewage treatment plant, carbon effect analysis and evaluation, weight influence sorting and cross analogy analysis of a single plant source are carried out, and an evaluation result of a single water plant is obtained; when the index result establishes a transverse evaluation object by a plurality of sewage treatment plants, carrying out multi-plant-source association trend research and judgment and multi-plant-source cross analogy analysis to obtain an evaluation result of the plurality of water plants; and performing decision optimization according to the evaluation result of the single water plant and the evaluation result of the multiple water plants. According to the invention, comparative analysis and low-carbon decision evaluation are carried out on carbon emission indication indexes of different periods or different sewage plants of the sewage treatment plant.

Description

Technical Field

[0001] The present invention relates to the field of environmental protection management and clean energy resource technology, and more specifically to a method and storage medium for carbon emission accounting and multidimensional analogy during the operation of a sewage treatment plant. Background Art

[0002] As pollution control units, sewage treatment plants or sewage treatment service companies have failed to establish a standardized, unified and long-term carbon emission accounting system. The greenhouse gas emission factors and report databases have not yet been established and are in a blank stage. The relevant measurement, detection, monitoring, accounting and low-carbon analysis and evaluation capabilities of carbon emissions are often at a primary level. There are data fragmentation and information islands between their production pollution control behaviors and greenhouse gas carbon emissions. It is often difficult to quantitatively measure and evaluate the pollution control effects, or difficult to evaluate the efficiency of energy (material) consumption, or difficult to diagnose the organic correlation and system normalization of carbon emission reduction benefits. It is also difficult to use a multi-dimensional indicator system to quantitatively measure and compare and analyze the carbon emission levels between different sewage plants or the same sewage plant during the inspection period. Therefore, it is impossible to effectively guide the systematic synergy of pollution reduction, energy conservation, consumption reduction and carbon reduction in sewage plants. The dual control targets of total carbon emissions and emission intensity are difficult to coordinate and unify, and it is difficult to effectively help the green and low-carbon goals of the sewage treatment and service industry.

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

[0004] The solutions in the existing technology are all aimed at improving the carbon emission accounting and evaluation reporting system of key industries. The existing experience in carbon emission accounting and low-carbon evaluation for the operation stage of sewage treatment has failed to standardize and unify the accounting parameter values, and the accounting methods and operation logic are cumbersome and complex. There is a lack of systematicity, unity, and comparability. The emission intensity evaluation index is single, and a carbon emission intensity evaluation mechanism with a multi-dimensional indicator system for treatment volume, multi-pollutant reduction factors, and energy and drug consumption factors has not been systematically established. There is also a lack of the necessary human-computer interaction and visual interface input / output (abbreviated as 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 multidimensional analogy during the operation 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 of a sewage treatment plant, which are used to solve the limitations of 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 of a sewage treatment plant comprises the following steps:

[0009] Based on the procedures of selecting statistical periods, collecting activity information, verifying and correcting data, selecting correlation factors, starting accounting procedures, and displaying indicator results, the indicator results are obtained;

[0010] When the indicator results are used to establish a vertical assessment object based on 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 assessment results of a single water plant;

[0011] When the indicator results are used to establish a horizontal assessment object with multiple sewage treatment plants, the correlation trend analysis of multiple plant sources and the cross-analogy analysis of multiple plant sources are carried out to obtain the assessment results of multiple water plants;

[0012] Operational decision optimization is carried out based on the evaluation results of a single water plant and multiple water plants.

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

[0014] Activity information collection includes: presetting the carbon emission indicator dictionary, and obtaining the activity data of sewage, electricity, sludge treatment and disposal, chemicals, heat, and coal during the formal operation stage of the sewage treatment plant through instrument measurement monitoring, manual testing or meter reading statistics;

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

[0016] The selected correlation factors include: pollution emission coefficient, emission factor, and global warming potential of greenhouse gases;

[0017] Starting the accounting procedure includes: quantitative input of relevant parameters;

[0018] The indicator results show that: through the preset accounting logic and algorithm program, the results of multiple indicator parameters, calculation parameters, process indicators, result indicators, and carbon efficiency indicators are obtained.

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

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

[0021] Process indicators include direct carbon emission intensity, indirect carbon emission intensity, and indirect carbon emission intensity by segment;

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

[0023] Carbon efficiency indicators include carbon emission reduction benefits, quantitative analogy of carbon emissions from a single water plant, ranking of the impact of carbon emissions weights from a single water plant, quantitative analogy of carbon emissions from single and multiple water plants, carbon neutrality rate of clean energy contribution, and analysis of correlation trends of carbon emissions from multiple plants.

[0024] Optionally, the accounting boundary of production activity information is limited to the formal operation stage within the sewage treatment plant boundary, including: the actual treated water volume, recorded as Q, in units of 10,000 m 3 , obtained through the statistics of the inlet or outlet online flow meter; the purchased electricity is recorded as El, the unit is MW·h, 1MW·h=10 3 kW·h, the metered electricity of each section, recorded as El i , in MW·h, self-produced electricity of clean energy, recorded as Ecl, in MW·h; sludge output, recorded as Ws, in tons, moisture content of sludge, recorded as rw, in %; fossil fuel consumption, recorded as F, in t (or tons, the same below); purchased heat, recorded as H, in t, metered heat of each section; the name of the j-th production agent, the consumption of the j-th production agent, recorded as Ch j , unit is t; consumption of the jth agent in the sub-segment, unit is t, each segment is divided into: A-116c, B-116c, C-116c, D-116c, E-116c; key category agent consumption index ratio; CH4 recovery volume, recorded as V CH , unit is m 3 ;

[0025] Water quality treatment information unit: mg / L, including: average concentration of influent BOD5, recorded as BOD i ; The average concentration of effluent BOD5 is recorded as BOD e ; Average influent COD concentration, denoted as COD i ; Average effluent COD concentration, denoted as COD e , the average concentration of influent NH3-N, denoted as NH i ; The average concentration of NH3-N in the effluent is denoted as NH e ; Average influent TN concentration, denoted as TN i ; Average TN concentration of effluent, denoted as TN e; Average influent TP concentration, denoted as TP i ; Average TP concentration of effluent, denoted as TP e ; Weighting ratio of comprehensive pollutant indicators;

[0026] The associated factors include: average organic matter content in dry sludge, denoted by f, in units of kgVSS / kg DS; N2O emission factor, denoted by EF1, in units of kgN2O / kg TN; CH4 yield coefficient per unit COD of anaerobic degradation, denoted by B0, in units of kg CH4 / kg COD; CH4 correction factor, denoted by MCF; CO2 emission factor of standard coal, denoted by EF2, in units of kg CO2 / kg standard coal; carbon emission factor of electricity consumption, denoted by EF3, in units of kg CO2 / kW·h; carbon emission factor of the jth agent, denoted by EF 4j , unit is kgCO2 / kg; N2O global warming potential, denoted as GWP1, unit is kg CO2 / kgN2O, CH4 global warming potential, denoted as GWP2, unit is kg CO2 / kg CH4.

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

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

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

[0030] Optionally, direct carbon emission intensity includes: N2O carbon emission intensity, recorded as CEI 1a , unit is kg CO2 / m 3 , CH4 carbon emission intensity, denoted as CEI 1b , unit is kg CO2 / m 3 , CO2 carbon emission intensity, denoted as CEI 1c , unit is kg CO2 / m 3 ; Indirect carbon emission intensity includes: Electricity consumption carbon emission intensity, recorded as CEI 2a , unit is kg CO2 / m 3 , heat consumption carbon emission intensity, recorded as CEI 2b , unit is kg CO2 / m 3 , carbon emission intensity of drug consumption, recorded as CEI 2c , unit is 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 deep 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 carbon emission intensity of electricity consumption in the section, the carbon emission intensity of heat consumption in the section, and the carbon emission intensity of drug consumption in the section, the unit is kg CO2 / m 3 .

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

[0033] The carbon emission intensity based on the pollutant reduction ratio includes: First, the carbon emission intensity based on the reduction of oxygen-depleting pollutants, recorded as CEI bn, in kg CO2 / kg, and the second is the carbon emission intensity based on the reduction of oxygen-depleting pollutants, recorded as CEI cn , in kg CO2 / kg, based on the carbon emission intensity of comprehensive pollutant reduction, recorded as CEI t , the unit is kg CO2 / kg;

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

[0035] Optionally, carbon reduction benefits include: Carbon reduction intensity, recorded as CEI △ , unit is kg CO2 / m 3 , carbon emission reduction, denoted as CES △ , unit is tCO2;

[0036] The impact ranking of carbon emission weights of single water plants is listed using professional tabulation and drawing tools such as Excel, Origin, and Spss, and statistical analysis of weight priority ranking is performed for different sub-elements;

[0037] The quantitative analogy of carbon emissions from single and multiple water plants includes a multi-indicator system horizontal analogy method for carbon emissions from single plants and multiple plants;

[0038] Clean energy contribution carbon neutrality rate = clean energy self-generated electricity E cl ÷Purchased electricity El×100%;

[0039] The correlation trend of carbon emissions from multiple sources is analyzed and judged using professional spreadsheet and graphing tools such as Excel, Origin, and Spss, and trend correlation analysis and graded evaluation are carried out between designated indicators.

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

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

[0042] 1) For carbon emission factors, mainly referring to the three types of greenhouse gases that affect the global warming trend (carbon dioxide CO2, nitrous oxide N2O, and methane CH4), the indicative measurement indicators for carbon emissions are started, including "total carbon emissions" (total indicators) and "total carbon emission intensity" (including: carbon emission intensity indicators per unit treatment volume, carbon emission intensity emission indicators based on pollutant reduction ratios, carbon emission intensity emission indicators based on unit electricity consumption, and carbon emission intensity emission indicators based on key drug consumption indexes). This changes the traditional single extensive mode of deriving carbon emission intensity based only on carbon emissions, and directly calculates carbon emission intensity through a single consumption parameter indicator system, which greatly simplifies the calculation path and conveniently optimizes the calculation model;

[0043] 2) According to the pollution control behavior and production activity data, the carbon emission accounting control program device and processing logic are customized. By calculating the indicative measurement indicators of carbon emissions, the carbon emission indicator indicators of sewage treatment plants in different time periods or different sewage treatment plants can be compared and analyzed, and carbon reduction decision-making evaluation can be carried out in the form of certain algorithms and graphical visualization. In order to measure and evaluate the contribution of the same or different carbon emission entities (sewage treatment plants) to greenhouse gas carbon emissions due to their production behavior activities in sewage treatment, as well as the low-carbon control strategies and benefits, to help achieve the green and low-carbon goals of the sewage treatment and service industries. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0045] Figure 1 A flow chart 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 A logical tree diagram of indicator parameters guiding the quantitative accounting method for carbon emissions from sewage treatment plants provided by the present invention;

[0047] Figure 3 The present invention provides a sewage treatment plant power-heat-drug material consumption attribution section indication diagram; wherein 3a is a section distribution diagram, 3b is a sub-section power consumption-heat consumption-drug consumption activity information collection statistics diagram, 3c is a sub-section power consumption-heat consumption-drug consumption activity information ratio parameter diagram, 3d is a sub-section power consumption-heat consumption-drug consumption carbon emission intensity diagram;

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

[0049] Figure 5 The weight ranking statistical analysis example display diagram provided by the present invention; wherein 5a is an example display of the weight ranking statistical analysis between the sub-elements in carbon emission intensity, and 5b is an example display of the weight ranking statistical analysis of each sub-segment in the indirect carbon emission intensity;

[0050] Figure 6 A quantitative analog logic diagram of carbon emissions from single and multiple water plants provided by the present invention;

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

[0052] Figure 8 A logic diagram for analyzing the correlation trend of carbon emissions from multiple sources provided by the present invention;

[0053] Fig. 9 An example display diagram of the linear fitting trend correlation analysis of the optional indicator system (vertical axis) provided by the present invention and the actual carbon emission intensity (horizontal axis); wherein, 9a is when the vertical axis selects the second carbon emission intensity based on the reduction of oxygen-depleting pollutants, 9b is when the vertical axis selects the carbon emission intensity based on the reduction of comprehensive pollutants, 9c is when the vertical axis selects the average electricity consumption per ton of water treated, and 9d is when the vertical axis selects the key category drug consumption index. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] See also 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, comprising the following steps:

[0056] Based on the procedures of selecting statistical periods, collecting activity information, verifying and correcting data, selecting correlation factors, starting accounting procedures, and displaying indicator results, the indicator results are obtained;

[0057] When the indicator results are used to establish a vertical assessment object based on 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 assessment results of a single water plant;

[0058] When the indicator results are used to establish a horizontal assessment object with multiple sewage treatment plants, the correlation trend analysis of multiple plant sources and the cross-analogy analysis of multiple plant sources are carried out to obtain the assessment results of multiple water plants;

[0059] Operational decision optimization is carried out based on the evaluation results of a single water plant and multiple water plants.

[0060] Furthermore, statistical cycle selection includes: annual cycle, semi-annual cycle, quarterly cycle, monthly cycle, or statistical start and end cycle dates;

[0061] Activity information collection includes: presetting the carbon emission indicator dictionary, and obtaining the activity data of sewage, electricity, sludge treatment and disposal, chemicals, heat, and coal during the formal operation stage of the sewage treatment plant through instrument measurement monitoring, manual testing or meter reading statistics;

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

[0063] The selected correlation factors include: pollution emission coefficient, emission factor, and global warming potential of greenhouse gases;

[0064] Starting the accounting procedure includes: quantitative input of relevant parameters;

[0065] The indicator results include: obtaining the results of multiple indicator parameters through preset calculation logic and algorithm procedures.

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

[0067] Specifically, the activity data, correlation factors, and indicator result logic tree of the quantitative accounting method for carbon emissions from sewage treatment plants can be found in Figure 2 In the indicator parameter I / O calculation model device, examples of input (Iuput) parameter contents are shown in Tables 1 to 5.

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

[0069] Index No. parameter Numeric unit Remark 111 Actual water treatment volume 736 <![CDATA[Ten thousand m 3 > 112a Purchased electricity 2229 MW·h 112c Clean energy self-generated electricity 500 MW·h 113a Sludge treatment and disposal output 2317 ton 113b Moisture content of sludge treated and disposed 60％ 114 Fossil fuel consumption 0 t 115a Purchased heat 0 t 117 <![CDATA[CH4 recovery volume]]> 0 <![CDATA[m 3 ]]>

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

[0071] Index No. parameter Numeric unit Remark 121a <![CDATA[Average influent BOD5 concentration]]> 64.6 mg / L 121b <![CDATA[Average concentration of effluent BOD5]]> 5.4 mg / L 122a Average influent COD concentration 165 mg / L 122b Average effluent COD concentration 13 mg / L 123a <![CDATA[Average influent NH3-N concentration]]> 24.8 mg / L 123b <![CDATA[Average concentration of effluent NH3-N]]> 0.17 mg / L 124a Average TN concentration of influent 31.0 mg / L 124b Average TN concentration of effluent 9.20 mg / L 125a Average influent TP concentration 5.08 mg / L 125b Average TP concentration of effluent 0.20 mg / L 126a <![CDATA[Weight ratio assignment of comprehensive pollutant indicators: BOD5]]> 10％ 126b Weighting ratio of comprehensive pollutant indicators: COD 30％ 126c <![CDATA[Weight ratio assignment of comprehensive pollutant indicators: NH3-N]]> 10％ 126d Weighting ratio of comprehensive pollutant indicators: TN 30％ 126e Weighting ratio of comprehensive pollutant indicators: TP 20％

[0072] Table 3 Electricity and heat consumption production activity information of sewage treatment plants by section

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

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

[0082] Process indicators 3 include direct carbon emission intensity 31, indirect carbon emission intensity 32, and indirect carbon emission intensity of sub-segments 33;

[0083] The result indicators 4 include 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 drug consumption ratio 44;

[0084] Carbon efficiency indicators5 include carbon emission reduction benefits51, quantitative analogy of carbon emissions from a single water plant52, quantitative analogy of carbon emissions from a single and multiple water plants53, carbon neutrality rate of clean energy contribution54, and analysis of correlation trends of carbon emissions from multiple plants55.

[0085] Specifically, the main sections of the electricity, heat, and reagent material consumption of the sewage treatment plant include sewage pretreatment section A, sewage biochemical treatment section B, sewage deep treatment section C, sludge treatment and disposal section D, and plant deodorization treatment section E, a total of six sections, see Figure 3 As shown in 3a.

[0086] Furthermore, the accounting boundary of production activity information 11 is limited to the formal operation stage within the sewage treatment plant boundary, including: the actual treated water volume 111, recorded as Q, in units of 10,000 m 3 , obtained through the statistics of the inlet or outlet online flow meter; the purchased electricity is 112a, recorded as El, the unit is MW·h, 1MW·h=10 3 kW·h, the metered electricity of the sub-section is 112b, recorded as El i, unit is MW·h, each section is divided into: A-112b, B-112b, C-112b, D-112b, E-112b; clean energy self-produced electricity 112c, recorded as Ecl, unit is MW·h; treated sludge output 113a, recorded as Ws, unit is ton, obtained through statistics, treated sludge moisture content 113b, recorded as rw, unit is %, obtained through detection or experience; fossil fuel consumption 114, recorded as F, unit is t, obtained through statistics; purchased heat 115a, recorded as H, unit is t, the metered heat of each section 115b, are all obtained through metering statistics, and each section is divided into: A-115b, B-115b, C-115b, D-115b, E-115b; the name of the j-th production agent 116a, the consumption of the j-th production agent 116b, recorded as Ch j , unit is t; consumption of the jth agent in the sub-segment 116c, unit is t, each segment is divided into: A-116c, B-116c, C-116c, D-116c, E-116c, all obtained by dividing the statistics of the outbound and consumption of the agents belonging to each segment; key category drug consumption index ratio 116d; CH4 recovery volume 117, recorded as V CH , unit is m 3 ;

[0087] Specifically, the metered electricity of the sub-segment 112b includes five sub-items: A-112b (pretreatment section, denoted as El1), B-112b (biochemical treatment section, denoted as El2), C-112b (deep treatment section, denoted as El3), D-112b (sludge treatment and disposal section, denoted as El4), and E-112b (deodorization treatment section, denoted as El5). i, Ecl is obtained by counting the intelligent total energy meter, the power meter set up in each zone, and the energy meter set up separately for clean energy power generation; the metered heat of the sub-segment 115b includes five sub-items: A-115b (pretreatment section, recorded as H1), B-115b (biochemical treatment section, recorded as H2), C-115b (deep treatment section, recorded as H3), D-115b (sludge treatment and disposal section, recorded as H4), and E-115b (deodorization treatment section, recorded as H5); the name (function) of the j-th production agent 116a includes denitrification carbon source agent 1#, dephosphorization coagulant agent 2#, disinfectant agent 3#, coagulant aid agent 4#, sludge dehydration agent 5#, etc., such as marked as agents 1 to 5 in sequence. , the consumption of the j-th production agent 116b is obtained through the statistics of outbound delivery and consumption. If the aforementioned 1#~5# marking order is followed, the consumption of the carbon source agent is recorded as Ch1, the consumption of the phosphorus removal agent is recorded as Ch2, and the consumption of the disinfectant is recorded as Ch3, and so on; the key category drug consumption index ratio 116d, only for the three key water treatment functional agents, namely, denitrification carbon source agent, phosphorus removal coagulant agent, and disinfectant agent, the index assignment is recorded as ra1, ra2, and ra3 respectively. The default values ​​of ra1~ra3 are 40%, 40%, and 20% respectively. This preset value is adjustable, and ra1+ra2+ra3=100%; CH4 recovery volume 117 is obtained through metering statistics. When there is no metering condition, the value is 0. The metering electricity 112b of the sub-segment, the metering heat 115b of the sub-segment, and the consumption of the j-th agent 116c of the sub-segment, refer to Figure 3 As shown in 3b.

[0088] Water quality treatment information 12 units: mg / L, including: influent BOD5 average concentration 121a, recorded as BOD i ; The average concentration of effluent BOD5 is 121b, recorded as BOD e ; The average COD concentration of the influent is 122a, recorded as COD i ; The average COD concentration of the effluent is 122b, recorded as COD e The average concentration of NH3-N in the influent is 123a, recorded as NH i ; The average concentration of NH3-N in the effluent is 123b, recorded as NH e ; The average concentration of influent TN is 124a, recorded as TN i ; The average TN concentration of the effluent is 124b, recorded as TN e ; The average concentration of influent TP is 125a, recorded as TP i ; The average TP concentration of the effluent is 125b, recorded as TP e ; Weighting ratio of comprehensive pollutant indicators 126;

[0089] Specifically, the weight ratio of the comprehensive pollutant index 126, including 126a~126e (the comprehensive pollutants are measured by five indicators, namely 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), these 5 preset values ​​are all adjustable, and rb1+rb2+rb3+rb4+rb5=100%.

[0090] Specifically, in the indicator parameter I / O calculation model device, examples of the calculation parameter content of the output (Output) are shown in Tables 6 to 10.

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

[0092]

[0093] Table 7 Single (multi) pollutant reduction concentration parameters of sewage treatment plants

[0094]

[0095]

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

[0097]

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

[0099]

[0100] Table 10 Segmental parameters of sewage treatment plant activity information ratio (drug consumption)

[0101]

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

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

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

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

[0106] The average consumption of the j-type production agent per ton of water treated is 215a, chj = Consumption of the j-th production agent Ch j ×100÷actual water volume Q treated. As marked above, if the carbon source agent consumption is recorded as Ch1, then the average carbon source agent consumption per ton of water treated is ch1=Ch1×100÷actual water volume Q treated; if the phosphorus removal agent consumption is recorded as Ch2, then the average phosphorus removal agent consumption per ton of water treated is ch2=Ch2×100÷actual water volume Q treated; if the disinfectant agent consumption is recorded as Ch3, then the average disinfectant agent consumption per ton of water treated is ch3=Ch3×100÷actual water volume Q treated, and so on for the j-th agent. The agent consumption per ton of water treated of the j-th agent in the sub-segment is 215b, which can be calculated by multiplying the j-th agent consumption added and consumed in each sub-segment by 100 and then dividing by the actual water volume Q treated, using the same method as above. The average electricity consumption per ton of water treated in the sub-section is 211b, the average external heat consumption rate per ton of water treated in the sub-section is 214b, and the average drug consumption per ton of water treated by the j-th agent in the sub-section is 215b. Figure 3 As shown in 3c.

[0107] Key category drug consumption index 215c, ch' = (average carbon source drug consumption per ton of water treated ch1 × carbon source agent index value ra1 + average phosphorus removal drug consumption per ton of water treated ch2 × phosphorus removal agent index value ra2 + average disinfection drug consumption per ton of water treated ch3 × disinfection agent index value ra3); average CH4 recovery ratio per ton of water treated 216, its value = 0.717 × CH4 recovery volume V CH / (actual treated water volume Q×10 4 ).

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

[0109] Specifically, ΔBOD5 = (average concentration of influent BOD5 BOD i - Average concentration of effluent BOD5 BOD e );ΔCOD=(Average influent COD concentrationCOD i - Average effluent COD concentration COD e );ΔNH=(NH3-N average concentration in influent NH i - Average NH3-N concentration in effluent NH e );ΔTN=(influent TN average concentration TN i- Average TN concentration of effluent TN e );ΔTP=(influent TP average concentration TP i -Average TP concentration of 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 , in mg / L; the average reduction concentration of the second oxygen-depleting pollutant is 231b, denoted as R cn , in mg / L; the average reduction concentration of comprehensive pollutants is 232, denoted as R t , unit is mg / L.

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

[0112] Furthermore, 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, recorded as CEI 1a , unit is kg CO2 / m 3 , CH4 carbon emission intensity 312, recorded as CEI 1b , unit is kg CO2 / m 3 , CO2 carbon emission intensity 313, recorded as CEI 1c , unit is kg CO2 / m 3 ; Indirect carbon emission intensity 32, CEI2 = electricity consumption carbon emission intensity CEI 2a +Heat consumption carbon emission intensity CEI 2b +Carbon Emission Intensity CEI of Drug Consumption 2c , including: Electricity consumption carbon emission intensity 321, recorded as CEI 2a , unit is kg CO2 / m 3 , heat consumption carbon emission intensity 322, recorded as CEI 2b , unit is kg CO2 / m 3, drug consumption carbon emission intensity 323, recorded as CEI 2c , unit is kg CO2 / m 3 ;

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

[0114] Electricity consumption carbon emission intensity 321, CEI 2a = average electricity consumption per ton of water treated el × electricity consumption carbon emission factor EF3; heat consumption carbon emission intensity 322, CEI 2b = the purchased heat consumption rate of average ton of water treatment h× standard coal CO2 emission factor EF2; the carbon emission intensity of drug consumption 323, which is the sum of the carbon emission intensities of all j kinds of drugs (from the first to the most ranked jth), (Carbon emission intensity 323' of the j-th agent), where: Carbon emission intensity 323' of the j-th agent (referred to as CEI 2c-j , unit is kg CO2 / m 3 ), CEI 2c-j = Average consumption of the j-th production agent per ton of water treated ch j × Carbon emission factor EF of the jth agent 4j ×10 -3 , such as: Carbon emission intensity CEI of carbon source agents 2c-1 = average carbon source consumption per ton of water treated ch1 × carbon emission factor EF of carbon source agent 41 ×10 -3 , Carbon emission intensity CEI of phosphorus removal agents 2c-2 = Average phosphorus removal agent consumption per ton of water treated ch2 × carbon emission factor EF of phosphorus removal agent 42 ×10 -3 , and so on.

[0115] The indirect carbon emission intensity 33 of each sub-segment 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 deep 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, each section includes: the carbon emission intensity of electricity consumption 331 of the sub-section, the carbon emission intensity of heat consumption 332 of the sub-section, and the carbon emission intensity of drug consumption 333 of the sub-section, the unit is kg CO2 / m 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 is = the electricity consumption carbon emission intensity CEI of the pretreatment section 2a-1 +Heat consumption carbon emission intensity CEI of pretreatment section 2b-1 + Carbon emission intensity CEI of drug consumption in pretreatment stage 2c-1 ; The indirect carbon emission intensity of the sewage biochemical treatment section is = the carbon emission intensity of the electricity consumption of the biochemical treatment section CEI 2a-2 + CEI of heat consumption in biochemical treatment section 2b-2 + Carbon emission intensity CEI of chemical consumption in biochemical treatment 2c-2 The indirect carbon emission intensity of other sectors is similar.

[0117] Among them: The carbon emission intensity of electricity consumption in each section is 331, including 331A~331E (referred to as CEI 2a-i ), each partition has a value of CEI 2a-i = Average power consumption per ton of water treated in each section i × Electricity consumption carbon emission factor EF3, such as pre-treatment section 331A: CEI 2a-1 =el1×EF3, biochemical treatment section 331B: CEI 2a-2 =el2×EF3, depth processing section 331C: CEI 2a-3 =el3×EF3, sludge treatment and disposal section 331D: CEI 2a-4 =el4×EF3, deodorization treatment section 331E: CEI 2a-5 =el5×EF3. The heat consumption carbon emission intensity of the sub-segment 332, including 332A~332E (referred to as CEI 2b-i ), CEI 2b-i = The purchased heat consumption rate of the average ton of water treated in each section h i × Standard coal CO2 emission factor EF2, such as pretreatment stage: CEI 2b-1 =h1×EF2, biochemical treatment section: CEI 2b-2 =h2×EF2, deep processing stage: CEI2b-3 =h3×EF2, sludge treatment and disposal stage: CEI 2b-4 =h4×EF2, deodorization treatment section: CEI 2b-5 =h5×EF2. The carbon emission intensity of drug consumption in the sub-segment is 333, including 333A~333E (referred to as CEI 2c-i , corresponding to the pre-processing section CEI 2c-1 , Biochemical treatment section CEI 2c-2 , deep processing section CEI 2c-3 , CEI of sludge treatment and disposal section 2c-4 , Deodorization treatment section CEI 2c-5 ), according to the statistical classification and classification of the average chemical consumption per ton of water treated by the j-th chemical in each sub-segment, 215b, multiplied by the carbon emission factor corresponding to the j-th chemical, and then summed up to get the value.

[0118] Furthermore, the actual carbon emission intensity41, denoted as CEI, is expressed in kg CO2 / m 3 , which is the sum of direct carbon emission intensity 31 and indirect carbon emission intensity 32. Direct carbon emission intensity 31 is recorded as CEI1, and indirect carbon emission intensity 32 is recorded as CEI2. The units are kg CO2 / m 3 , that is: CEI = CEI1 + CEI2, the unit is kg CO2 / m 3 ; The actual total carbon emission is 42, recorded as CES, the unit is t CO2, CES = actual carbon emission intensity CEI × actual treated water volume Q × 10;

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

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

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

[0122] Specifically, based on the carbon emission intensity per unit of electricity consumption, CE Iel = Actual carbon emission intensity CEI ÷ average electricity consumption per ton of water treated. Based on the carbon emission intensity of key drug consumption index, its value CEI ch’ = Actual carbon emission intensity CEI ÷ key category drug consumption index ch' × 10 3 .

[0123] Specifically, in the indicator parameter I / O accounting model device, examples of the process indicators and result indicator contents of the output (Output) are shown in Tables 11 to 18.

[0124] Table 11 Indirect carbon emission intensity of sewage treatment plant sections

[0125]

[0126] Table 12 Carbon emission intensity of electricity consumption in different sections of sewage treatment plants

[0127]

[0128] Table 13 Heat consumption carbon emission intensity of sewage treatment plant sections

[0129]

[0130] Table 14 Carbon emission intensity of chemical consumption in different sections of sewage treatment plants

[0131]

[0132] Table 15 Details of direct and indirect carbon emission intensity of sewage treatment plants

[0133] Index No. parameter Numeric unit Remark 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 Heat consumption carbon emission intensity 0.000 <![CDATA[kgCO2 / m 3 ]]> 323 Carbon emission intensity of drug consumption 0.248 <![CDATA[kgCO2 / m 3 ]]>

[0134] Table 16 Results of indicators of carbon emission intensity of sewage treatment plants

[0135]

[0136] Table 17 Results of clean energy contribution and carbon neutrality rate of sewage treatment plants

[0137]

[0138] Table 18 Carbon emission intensity of the jth chemical in the sewage treatment plant

[0139]

[0140] Furthermore, the carbon reduction benefit 51 includes: carbon reduction intensity 511, denoted as CEI Δ , unit is kg CO2 / m 3 , carbon emission reduction is 512, recorded as CES Δ , unit is tCO2;

[0141] Specifically, taking a single water plant as an example: the actual carbon emission intensity values ​​of the base year (y0) and the investigation year (y1) are recorded as CEI y0 , CEI y1 , then the carbon emission reduction intensity value CEI of the investigated year compared with the base year Δ =CEI y0 -CEI y1 (Formula 1-1), or CEI Δ =CEI y1 -CEI y0 (Formula 1-2) ， The actual total carbon emissions in the base year (y0) and the investigation year (y1) are recorded as CES y0 、CES y1 , then the carbon emission reduction value CES of the investigated year compared with the base year Δ =CES y0 -CES y1 (Formula 2-1), or CES Δ =CES y1 -CES y0 (Formula 2-2) CEI when using formula 1-1 and formula 2-1 Δ and CES Δ The result representation: positive value (result>0) represents the reduction of carbon emissions in the investigated year compared with the base year, and the emission reduction indicator arrow is: ↓ (carbon reduction); negative value (result<0) represents the increase of carbon emissions in the investigated year compared with the base year, and the emission reduction indicator arrow is: ↑ (carbon increase); CEI when using formula 1-2 and formula 2-2 scenarios △ and CES Δ The results are characterized as follows: negative values ​​(results < 0) represent that the carbon emissions in the investigated year are reduced compared to the base year, and the emission reduction indicator arrow is: ↓ (carbon reduction); positive values ​​(results > 0) represent that the carbon emissions in the investigated year are increased compared to the base year, and the emission reduction indicator arrow is: ↑ (carbon increase).△ 、CES △ For an example, see Table 19.

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

[0143] Index No. parameter years Numeric unit Emission reduction targets <![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 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 <![CDATA[Analogy between year y0 and year y1]]> 1016 <![CDATA[tCO2]]> ↓(Carbon reduction)

[0144] In the ranking of carbon emission weights of single water plants (52), a weight ranking method for carbon emission intensity of single plant sources is developed, see Figure 4 As shown, such as the ranking analogy between direct carbon emission intensity 31 and indirect carbon emission intensity 32, the ranking analogy between different agents in the carbon emission intensity 323' of the j-th agent, the ranking analogy between the pretreatment section 331A, the biochemical treatment section 331B, the deep treatment section 331C, the sludge treatment and disposal section 331D, and the plant deodorization treatment section 331E in the electric power consumption carbon emission intensity 331 of the sub-segment, the ranking analogy between the pretreatment section 333A, the biochemical treatment section 333B, the deep treatment section 333C, the sludge treatment and disposal section 333D, and the plant deodorization treatment section 333E in the drug consumption carbon emission intensity 333 of the sub-segment; professional spreadsheet and drawing tools such as Excel, Origin, and Spss can be used to list and perform weight priority ranking statistical analysis on different sub-elements, see Figure 5 Examples include: N2O carbon emission intensity 311, CH4 carbon emission intensity 312, CO2 carbon emission intensity 313, electricity consumption carbon emission intensity 321, heat consumption carbon emission intensity 322, and drug consumption carbon emission intensity 323. The results are presented as follows: Figure 5 a and Table 20;

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

[0146]

[0147] Further supplemented with the indirect carbon emission intensity 33 of the sub-segments, 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 deep 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, the results are presented as follows Figure 5 b and Table 21;

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

[0149]

[0150] Quantitative analogy of carbon emissions from single and multiple water plants53 includes a multi-indicator system horizontal analogy method for carbon emissions from single plants531 and carbon emissions from multiple plants532;

[0151] For details, see Figure 6 As shown, it is listed using professional spreadsheet and graphing tools such as Excel, Origin, and Spss. The analogy period is during the inspection period (y1) and the benchmark period (y0). The multi-indicator 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, the carbon emission intensity based on the reduction of comprehensive pollutants 432, the carbon emission intensity based on unit electricity consumption 441, and the carbon emission intensity based on the key drug consumption index 442, see Figure 7 As shown, the horizontal comparison of the actual carbon emission intensity of multiple plants is shown in Figure 7 a and Table 22, a horizontal comparison of the carbon emission intensity of 432 plants based on comprehensive pollutant reduction is shown in Figure 7 b and Table 23.

[0152] Table 22 Horizontal comparison of actual carbon emission intensity from multiple plants

[0153]

[0154]

[0155] Table 23 Horizontal comparison of carbon emission intensity of multiple plants based on comprehensive pollutant reduction

[0156]

[0157] Clean energy contribution carbon neutrality rate 54 = clean energy self-generated electricity E cl ÷Purchased electricity El×100%.

[0158] For the correlation trend analysis of carbon emissions from multiple sources (at least five sources or more), see Figure 8As shown, it is listed using professional spreadsheet and drawing tools such as Excel, Origin, and Spss, including 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, the carbon emission intensity based on the reduction of comprehensive pollutants 432, the carbon emission intensity based on unit electricity consumption 441, the carbon emission intensity based on the key drug consumption index 442, the average reduction concentration of the first oxygen-consuming pollutant 221a, the average reduction concentration of the second oxygen-consuming pollutant 221b, the average reduction concentration of comprehensive pollutants 222, the average electricity consumption per ton of water treated 211a, Correlation analysis between each independent indicator system of the key drug consumption index 215c and the actual carbon emission intensity 41, that is, taking the actual carbon emission intensity 41 as the horizontal axis and the value of each independent indicator system as the vertical axis, such as the linear (y=bx+a) example between the second carbon emission intensity 431b based on oxygen-depleting pollutant reduction and the actual carbon emission intensity 41, between the carbon emission intensity 432 based on comprehensive pollutant reduction and the actual carbon emission intensity 41, between the average electricity consumption 211a per ton of water treated and the actual carbon emission intensity 41, and between the key drug consumption index 215c and the actual carbon emission intensity 41, see Fig. 9 As shown in 9a-9d in Figure 9, if the correlation coefficient R of the linear trend line is 2 The higher the correlation is, the better the correlation is. For this reason, a graded correlation degree is established, as shown in Table 24: 2 ≥0.9, it is a very high correlation, when 0.75≤R 2 <0.9, which is a high correlation, and 0.60≤R 2 <0.75, which is a medium correlation, 0.40≤R 2 When <0.60, it is a weak correlation, R 2 When <0.4, it is a low correlation.

[0159] Table 24 Correlation evaluation logic of the correlation trend classification of carbon emissions from multiple sources

[0160]

[0161]

[0162] By calculating the indicative measurement indicators of carbon emissions and displaying them in a visual chart form, the carbon emission indicator 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 same or different carbon emission entities (sewage treatment plants) to greenhouse gas carbon emissions due to their production activities in sewage treatment, as well as the low-carbon control strategies and benefits.

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

[0164] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0165] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may 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 rather to 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 of a sewage treatment plant, characterized in that: The following steps are involved: Based on the procedures of selecting statistical periods, collecting activity information, verifying and correcting data, selecting correlation factors, starting accounting procedures, and displaying indicator results, the indicator results are obtained; When the indicator results are used to establish a vertical assessment object based on 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 assessment results of a single water plant; When the indicator results are used to establish a horizontal assessment object with multiple sewage treatment plants, the correlation trend analysis of multiple plant sources and the cross-analogy analysis of multiple plant sources are carried out to obtain the assessment results of multiple water plants; Operational decision optimization is carried out based on the evaluation results of a single water plant and multiple water plants.

2. The method for carbon emission accounting and multi-dimensional analogy during the operation of a sewage treatment plant according to claim 1 is characterized in that: The statistical cycle options include: annual cycle, semi-annual cycle, quarterly cycle, monthly cycle, or statistical start and end cycle dates; Activity information collection includes: presetting the carbon emission indicator dictionary, and obtaining the activity data of sewage, electricity, sludge treatment and disposal, chemicals, heat, and coal during the formal operation stage of the sewage treatment plant through instrument measurement monitoring, manual testing or meter reading statistics; Data verification and correction include: retaining, eliminating, correcting and reviewing the activity data; The selected correlation factors include: pollution emission coefficient, emission factor, and global warming potential of greenhouse gases; Starting the accounting procedure includes: quantitative input of relevant parameters; The indicator results include: obtaining the results of multiple indicator parameters through preset calculation logic and algorithm procedures.

3. The method for carbon emission accounting and multi-dimensional analogy during the operation of a sewage treatment plant according to claim 2 is characterized in that: Activity data include input parameters of the sewage treatment plant (1), calculation parameters (2), process indicators (3), result indicators (4), and carbon efficiency indicators (5).

4. The method for carbon emission accounting and multi-dimensional analogy during the operation of a sewage treatment plant according to claim 3 is characterized in that: Input parameters (1) include production activity information (11), water quality treatment information (12), and correlation factors (13); The calculation parameters (2) include an activity information ratio parameter (21), a single pollutant reduction concentration parameter (22), and a multi-pollutant reduction concentration parameter (23); Process indicators (3) include direct carbon emission intensity (31), indirect carbon emission intensity (32), and indirect carbon emission intensity of different sections (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 drug consumption ratio (44); Carbon efficiency indicators (5) include carbon emission reduction benefits (51), quantitative analogy of carbon emissions from a single water plant (52), quantitative analogy of carbon emissions from a single and multiple water plants (53), carbon neutrality rate of clean energy contribution (54), and analysis of correlation trends of carbon emissions from multiple plants (55).

5. The method for carbon emission accounting and multi-dimensional analogy during the operation of a sewage treatment plant according to claim 4 is characterized in that: The accounting boundary of production activity information (11) is limited to the formal operation stage within the sewage treatment plant boundary, including: the actual treated water volume (111), denoted as Q, in units of 10,000 m 3 , obtained through the statistics of the inlet or outlet online flow meter; the purchased electricity (112a), denoted as El, the unit is MW·h, 1MW·h=10 3 kW·h, the metered electricity of the sub-section (112b), denoted as El i , in MW·h, clean energy self-produced electricity (112c), recorded as Ecl, in MW·h; treated sludge output (113a), recorded as Ws, in tons, treated sludge moisture content (113b), recorded as rw, in %; fossil fuel consumption (114), recorded as F, in tons or ton; purchased heat (115a), recorded as H, in tons or ton, metered heat of each section (115b); the name of the j-th production agent (116a), the consumption of the j-th production agent (116b), recorded as Ch j , in t or tons; consumption of the jth agent in the sub-segment (116c), in t or tons, each segment is divided into: A-116c, B-116c, C-116c, D-116c, E-116c; key category drug consumption index ratio (116d); CH4 recovery volume (117), recorded as V CH , unit is m 3 ; Water quality treatment information (12) in mg / L, including: average influent BOD5 concentration (121a), recorded as BOD i ; The average concentration of effluent BOD5 (121b), recorded as BOD e ; Average influent COD concentration (122a), denoted as COD i ; Average effluent COD concentration (122b), denoted as COD e , the 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 TN concentration of effluent (124b), denoted as TN e ; Average influent TP concentration (125a), denoted as TP i ; Average TP concentration of effluent (125b), denoted as TP e ; Weighting ratio of comprehensive pollutant indicators (126); The correlation factors (13) include: average organic matter content in dry sludge (131), denoted by f, with a unit of kg VSS / kg DS; N2O emission factor (132), denoted by EF1, with a unit of kg N2O / kg TN; CH4 yield coefficient per unit COD of anaerobic degradation (133), denoted by B0, with a unit of kg CH4 / kg COD; CH4 correction factor (134), denoted by MCF; standard coal CO2 emission factor (135), denoted by EF2, with a unit of kg CO2 / kg standard coal; electricity consumption carbon emission factor (136), denoted by EF3, with a unit of kg CO2 / kW·h; carbon emission factor of the jth agent (137), denoted by EF 4j , with the unit of kg CO2 / kg; the global warming potential of N2O (138), denoted as GWP1, with the unit of kgCO2 / kgN2O; the global warming potential of CH4 (139), denoted as GWP2, with the unit of kg CO2 / kg CH4.

6. The method for carbon emission accounting and multi-dimensional analogy during the operation of a sewage treatment plant according to claim 4 is characterized in that: The activity information ratio parameters (21) include: average power consumption per ton of water treated (211a), denoted as el, in units of kW·h / m 3 ; The average power consumption per ton of water treated in each section (211b), denoted as el i , unit is kW·h / m 3 ; Average dry sludge yield per ton of water treated (212), denoted as w, in kg DS / m 3 ; The fossil fuel combustion consumption rate per ton of water treated (213), denoted as f, in kg standard coal / m 3 ; The purchased heat consumption rate per ton of water treated (214a) is recorded as h, and the unit is kg standard coal / m 3 ; The average purchased heat consumption rate per ton of water treated in each section (214b), denoted as h i , numerical unit: kg standard coal / m 3 ; The average consumption of the j-th production agent per ton of water treated (215a), denoted as ch j , in mg / L, the average drug consumption of the j-th agent per ton of water treated in the sub-segment (215b), in mg / L; the key drug consumption index (215c), recorded as ch', in mg / L; the average CH4 recovery ratio per ton of water treated (216), recorded as V C , unit is kg / m 3 ; The unit of single pollutant reduction concentration parameter (22) is mg / L, including: average reduction concentration of BOD5 (221), recorded as △BOD5, average reduction concentration of COD (222), recorded as △COD, average reduction concentration of NH3-N (223), recorded as △NH, average reduction concentration of TN (224), recorded as △TN, average reduction concentration of TP (225), recorded as ΔTP; The multi-pollutant reduction concentration parameter (23) includes: the average reduction concentration of the first oxygen-consuming pollutant (231a), denoted as R bn , in mg / L; the average reduction concentration of the second oxygen-depleting pollutant (231b), denoted as R cn , in mg / L; the average reduction concentration of comprehensive pollutants (232), denoted as R t , unit is mg / L.

7. The method for carbon emission accounting and multi-dimensional analogy during the operation of a sewage treatment plant according to claim 4 is characterized in that: Direct carbon emission intensity (31) includes: N2O carbon emission intensity (311), denoted as CEI 1a , unit is kg CO2 / m 3 , CH4 carbon emission intensity (312), denoted as CEI 1b , unit is kg CO2 / m 3 , CO2 carbon emission intensity (313), denoted as CEI 1c , unit is kg CO2 / m 3 ; Indirect carbon emission intensity (32) includes: Electricity consumption carbon emission intensity (321), recorded as CEI 2a , unit is kg CO2 / m 3 , heat consumption carbon emission intensity (322), denoted as CEI 2b , unit is kg CO2 / m 3 , carbon emission intensity of drug consumption (323), denoted as CEI 2c , unit is kgCO2 / m 3 ; The indirect carbon emission intensity of each sub-section (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 deep treatment section (33C), the indirect carbon emission intensity of the sludge treatment and disposal section (33D), and the indirect carbon emission intensity of the deodorization treatment section in the plant area (33E). Each section includes: the carbon emission intensity of electricity consumption of the sub-section (331), the carbon emission intensity of heat consumption of the sub-section (332), and the carbon emission intensity of drug consumption of the sub-section (333), the unit is kg CO2 / m 3 .

8. The method for carbon emission accounting and multi-dimensional analogy during the operation of a sewage treatment plant according to claim 4 is characterized in that: Actual carbon emission intensity (41), denoted as CEI, in 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 recorded as CEI1, and the indirect carbon emission intensity (32) is recorded as CEI2. The units are kg CO2 / m 3 , that is: CEI = CEI1 + CEI2; the actual total carbon emissions (42), recorded as CES, unit is t CO2, CES = actual carbon emission intensity CEI × actual treated water volume Q × 10; The carbon emission intensity based on the pollutant reduction ratio (43) includes: first, the carbon emission intensity based on the reduction of oxygen-depleting pollutants (431a), denoted as CEI bn , in kg CO2 / kg, and the second is the carbon emission intensity based on the reduction of oxygen-depleting pollutants (431b), recorded as CEI cn , in kg CO2 / kg, based on carbon emission intensity of comprehensive pollutant reduction (432), denoted as CEI t , the unit is kgCO2 / kg; Carbon emission intensity based on energy and chemical consumption ratio (44) includes: Carbon emission intensity based on unit electricity consumption (441), denoted as CEI el , in kg CO2 / kW·h, based on the carbon emission intensity of the key category drug consumption index (442), denoted as CEI ch’ , unit is kg CO2 / kg.

9. The method for carbon emission accounting and multi-dimensional analogy during the operation of a sewage treatment plant according to claim 4 is characterized in that: Carbon reduction benefits (51) include: Carbon reduction intensity (511), denoted as CEI Δ , unit is kg CO2 / m 3 , carbon emission reduction (512), denoted as CES △ , unit is tCO2; The impact ranking of carbon emission weights of single water plants (52) is listed using Excel, Origin, and Spss tabulation and drawing tools, and statistical analysis of weight priority ranking is performed for different sub-elements; Quantitative analogy of carbon emissions from single and multiple water plants (53) includes a multi-indicator system horizontal analogy method for carbon emissions from single plants (531) and carbon emissions from multiple plants (532); Clean energy contribution carbon neutrality rate (54) = clean energy self-generated electricity E cl ÷Purchased electricity El×100%; The correlation trend of carbon emissions from multiple sources (55) is analyzed and presented using Excel, Origin, and Spss charting and drawing tools, and trend correlation analysis and graded evaluation are carried out between designated indicators.

10. A storage medium, which uses several encrypted storage functions of local computers, mobile storage and cloud storage to execute the method of carbon emission accounting and multi-dimensional analogy during the operation period of a sewage treatment plant as described in any one of claims 1-9, and the storage period includes several years of data, covering the carbon emission activity information of several water plants and the accounting comparison and presentation of table and chart results.

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