CN115222208A - Water-energy-carbon coupling model and application thereof in operation evaluation of sewage treatment mechanism - Google Patents
Water-energy-carbon coupling model and application thereof in operation evaluation of sewage treatment mechanism Download PDFInfo
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Abstract
The invention belongs to the field of water utilities, and provides an evaluation method for a sewage treatment mechanism. The evaluation method comprises the following steps: defining a data acquisition boundary of a sewage treatment mechanism and defining a carbon emission range; constructing a 'water-energy-carbon' coupling model through normalization treatment, wherein the 'water-energy-carbon' coupling model comprises a comprehensive coupling index for evaluating the comprehensive operation efficiency of a sewage treatment mechanism and a consistency index for evaluating the development coordination degree of water, energy and carbon; and collecting or measuring the water, energy and carbon data of the sewage treatment mechanism according to the 'water-energy-carbon' coupling model, and evaluating the sewage treatment mechanism. The invention also includes a 'water-energy-carbon' coupling model and applications thereof. The water-energy-carbon coupling model can comprehensively and accurately evaluate the operation condition of a sewage treatment mechanism, better accords with objective actual conditions, and is favorable for obtaining the optimal solution of water quality improvement, energy conservation and carbon reduction in the development process of a sewage treatment plant within the controllable range of the related factors of water, energy and carbon.
Description
Technical Field
The invention belongs to the field of water utilities, and relates to application of a water-energy-carbon coupling model, in particular to application in operation evaluation of a sewage treatment plant.
Background
The water affair industry is one of the basic service industries of cities, and the green, low-carbon and safe operation of the water affair industry is an important guarantee for realizing the goals of carbon peak reaching and carbon neutralization. And scientifically and accurately calculating the carbon emission in each link is an important premise for setting a carbon neutralization route map of a specific sewage treatment plant. Although partial carbon accounting research in the sewage treatment industry exists, accounting methods at home and abroad have great difference in accounting range division. Guoshengjie et al consider that the proportion of indirect carbon emissions to the total carbon emissions from the drug depletion class is small and therefore ignored; song Bao mu et al believe that the sewage treatment process consumes a large amount of sewageMedicaments, and thus such emissions are contemplated. Yan Xu et al only consider greenhouse gas emissions from the water treatment stage, and Zhang Yue et al also includes direct and indirect carbon-like emissions from sludge treatment and disposal. In addition, only biogenic CO is considered in the IPCC emission list 2 Neglecting CO of fossil source 2 However, haohawa et al considered that the sources of organic substances in wastewater were classified and fossil carbon was included in the total carbon emission range. Therefore, comparison of peer-level data among sewage treatment plants is limited, and the actual low-carbon operation effect of the sewage treatment plants is difficult to scientifically reflect by the carbon calculation result.
The traditional sewage treatment plant is a receiving station for urban wastewater, the standard-reaching discharge of water quality is a main standard of each work examination from environmental impact evaluation to environmental protection supervision, and the effluent pollutant concentration of the sewage treatment plant is limited by using a primary A standard, a primary B standard and the like according to the regulation of GB 18918. The housing and urban and rural construction department examines the energy consumption level of a sewage treatment plant through indexes such as unit sewage power consumption, unit oxygen-consuming pollutant power consumption and the like when the operating quality evaluation standard of the urban sewage treatment plant is formulated. For greenhouse gas emission, besides the conventional index of total carbon emission, zhang et al also adopt per capita carbon emission and per ton water carbon emission to compare the carbon emission levels of sewage treatment departments in Chongqing city in different years, and Song Bao wood and other people use the indexes of per ton water energy consumption carbon emission, per ton water matter consumption carbon emission and the like to enrich the evaluation dimensionality of carbon emission again. With the national improvement of requirements on water quality, energy consumption and carbon emission, the synergistic consideration of the three is an inevitable trend, however, the comprehensive index of 'water-energy-carbon' is not evaluated at present.
The water resource, the energy and the greenhouse gas are closely related, so that the optimal solution of water quality improvement, energy conservation and carbon reduction can be obtained only by considering 'water-energy-carbon' in a system. At present, the coupling thinking is generally accepted, wang et al explores the water-energy-carbon coupling relation among the industries of China and finds that the light industry, the heavy industry and the service industry are respectively watertight intensive, energy intensive and carbon emission intensive; valdez et al quantified the "water-energy-carbon" relationship of the Mexico rainwater collection system through a life assessment simulation model, and the results demonstrated that collecting rainwater can reduce greenhouse gas emissions by three quarters of the water resource system in Mexico city and help to mitigate flood risks; the relation of 'water-energy-carbon' in the steel industry is studied by Zhaqi et al, and the fact that the investment of scrap steel in a converter can reduce energy consumption and carbon dioxide emission but is at the cost of increasing water footprint is found. However, the current study of the "water-energy-carbon" coupling for complex systems for wastewater treatment is still insufficient.
Disclosure of Invention
The invention aims to provide a water-energy-carbon coupling model capable of comprehensively evaluating the operation process of a sewage treatment mechanism.
The invention also aims to provide a method for evaluating the operation condition of a sewage treatment mechanism by using the 'water-energy-carbon' coupling model.
In one aspect, the invention provides a sewage treatment mechanism evaluation method, which comprises the following steps:
step one, defining a data acquisition boundary of a sewage treatment mechanism and defining a carbon emission range;
step two, constructing a 'water-energy-carbon' coupling model through normalization treatment, wherein the 'water-energy-carbon' coupling model comprises one or more of a comprehensive coupling index for evaluating the comprehensive operation efficiency of the sewage treatment mechanism, a consistency index for evaluating the development coordination degree of water, energy and carbon, a triangular diagram of water-energy-carbon data or a bubble diagram of the water-energy-carbon data;
the comprehensive coupling index is constructed by the sum of products of each factor weight and a normalized numerical value by respectively carrying out normalization treatment on factors influencing the conditions of water, energy and carbon in the sewage treatment mechanism;
the consistency index is constructed by carrying out normalization treatment on the water, energy and carbon number data of the sewage treatment mechanism and analyzing the fluctuation condition of the water, energy and carbon number data;
and step three, collecting or measuring water, energy and carbon data of the sewage treatment mechanism according to the water-energy-carbon coupling model, and evaluating the sewage treatment mechanism.
In the present invention, the sewage treatment facility includes a unit or an organization relating to sewage treatment, such as a sewage treatment plant, a sewage treatment organization, a sewage treatment institute, and the like.
In the present invention, the measured water, energy, carbon number data is selected from, but not limited to, one or more of the following: water inflow, pollutant concentration in inlet and outlet water, energy consumption and carbon emission. Factors affecting water, energy, and carbon conditions in wastewater treatment facilities include, but are not limited to: the water inlet amount, the water temperature, the load factor, the discharge standard, the concentration of pollutants in and out of water, pH, the process, the dosage of the medicament, the service area of a sewage treatment mechanism, the region, the terrain or the management factor.
In the present invention, the carbon emission can be divided into three ranges: range one, range two, and range three. Wherein the carbon number data for range one is selected from one or more of the following: the method comprises the following steps of discharging methane and nitrous oxide in a structure of pretreatment, biological treatment, secondary sedimentation tank, advanced treatment, sludge concentration or sludge dewatering and drying, or the contribution value of carbon sink in a boundary range to carbon discharge in the operation process of a sewage treatment mechanism. Carbon number data in the range two is selected from one or more of the following: and energy consumption type carbon emission generated by outsourcing heating power and electric power in the process of construction, operation and demolition of the sewage treatment mechanism. Carbon number data in the range of three is selected from one or more of the following: the waste generated in the process of construction, operation and dismantling of the sewage treatment mechanism, the building materials in the construction process, the medicament of the sewage treatment mechanism and the carbon emission generated in the process of transporting the waste, the building materials and the medicament.
In the invention, the construction of the 'water-energy-carbon' coupling model comprises but is not limited to the construction of a comprehensive coupling index for evaluating the comprehensive operation efficiency of the sewage treatment mechanism and a consistency index for evaluating the development coordination degree of water, energy and carbon, and also can comprise a triangular chart or a bubble chart based on water-energy-carbon data; in addition to the equations used in the "water-energy-carbon" coupling model, the determination of the weighting coefficients in the equations for the wastewater treatment facility specifics may also be included.
The method for evaluating the sewage treatment mechanism further comprises the step of grading the sewage treatment mechanism.
When the development coordination degree of water, energy and carbon is evaluated, 4 matching modes are provided for the evaluation index, namely a ton water grey water footprint, a ton water energy footprint and a ton water carbon footprint; water quantity, ton water energy consumption and ton water carbon emission; pollutant removal amount, unit pollutant removal energy consumption and unit pollutant removal carbon emission; water volume, total energy consumption and total carbon emissions.
In the present invention, a bubble chart can be used to evaluate the "water-energy-carbon" coupling relationship of a single or multiple wastewater treatment facilities, with water as the abscissa and energy as the ordinate, and carbon as the shades of dots (the darker the color, the greater the carbon emissions). And selecting the numerical value corresponding to the third quartile of water and energy as a straight line parallel to the coordinate axis, dividing the bubble diagram into four areas I, II, III and IV, and defining the areas I and III as development coordination areas and the areas II and IV as development disorder areas.
In the invention, a triangular diagram can be used for evaluating the water-energy-carbon coupling relation of a single or a plurality of sewage treatment mechanisms, and the triangular diagram is divided into 7 areas, wherein the area I is a water energy and carbon development coordination area, the area II is a low-water area, the area III is a low-energy area, the area IV is a low-carbon area, the area V is a high-carbon area, the area VI is a high-water area, and the area VII is a high-energy area.
On the other hand, the invention provides a 'water-energy-carbon' coupling model, which specifies the evaluation of the 'water-energy-carbon' coupling of the sewage treatment mechanism from two aspects of the comprehensive coupling index and the development coordination degree of water, energy and carbon.
The method for constructing the water-energy-carbon coupling model comprises the following steps: collecting data such as water quality, water quantity, energy consumption and the like of a sewage treatment mechanism, and dividing and calculating a carbon emission range; establishing an index comprehensive coupling index CNI for evaluating the comprehensive operation efficiency of the sewage treatment mechanism and an index consistency coefficient CI for evaluating the development coordination degree of the CNI and the CNI; CNI, CI and related triangular diagrams, bubble diagrams and the like are used for evaluating the operation level of the sewage treatment mechanism and analyzing the influence of various factors on the 'water-energy-carbon' coupling of the sewage treatment mechanism.
The concrete steps for constructing the water-energy-carbon coupling model are as follows:
step 1, defining a data acquisition boundary: collecting data such as water quality, water quantity, energy consumption and the like according to basic operation parameters of a sewage treatment mechanism, and defining and calculating a carbon emission range frame according to a greenhouse gas accounting guide;
step 2, establishing an index comprehensive coupling index CNI for evaluating the comprehensive operation efficiency of the sewage treatment mechanism: normalization processing is carried out on the three indexes of water, energy and carbon respectively by adopting a fitting formula, CNI is constructed by the sum of products of the weights of the three indexes and normalized numerical values, and the grade division rule of the CNI is determined;
and 3, establishing an index consistency coefficient CI for evaluating the development coordination degree of the three components: and carrying out normalization processing on the data, analyzing the fluctuation condition of the data to construct CI, and dividing consistency levels.
After the construction of the 'water-energy-carbon' coupling model is completed, the method can also realize the following steps: evaluating the operation level of a sewage treatment mechanism: the operation level of the sewage treatment mechanism is comprehensively evaluated through the CNI index, the CI index, the triangular graph and the bubble graph, and the influence of all factors on the water-energy-carbon coupling of the sewage treatment mechanism is explored.
The 'water-energy-carbon' coupling model of the invention sets an Index Comprehensive coupling Index CNI (Comprehensive Nexus Index) for evaluating the Comprehensive operation efficiency of the sewage treatment mechanism,
wherein ,γi Is the weight of the ith variable; i is i And (4) the index after the ith variable is normalized.
In the process of calculating the CNI index, when the water quantity, the energy consumption and the carbon emission are normalized, the water quantity is normalized by using a logarithmic relation, and the energy consumption and the carbon emission are normalized by using a quadratic function relation.
The comprehensive coupling index of water, energy and carbon of the sewage treatment mechanism is evaluated to be CNI WEC Stipulate 80. Ltoreq. CNI WEC Excellent at 100 or less, CNI of 70 or more WEC Good < 80, CNI of 60. Ltoreq WEC Preferably < 70, CNI of 40. Ltoreq WEC Less than 60 is normal, 0 < CNI WEC < 40 is worse.
Preferably, when the comprehensive coupling index is constructed only according to the data of water, energy and carbon number, the comprehensive coupling index is CNI WEC ;
Or
CNI WEC The formula of (1) is as follows:
CNI WEC =100(γ 1 I 1 +γ 2 I 2 +γ 3 I 3 ) Formula (II)
I 1 =α 1 +α 2 ln W type (III)
I 2 =α 3 E 2 +α 4 E+α 5 Formula (IV)
I 3 =α 6 C 2 +α 7 C+α 8 Formula (V)
wherein ,γ1 、γ 2 、γ 3 Are the weight factors of water, energy and carbon respectively, and gamma is more than 0 i <1,γ can be selected from 0 to 1, such as 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, etc., and a fraction can also be used.
I 1 、I 2 、I 3 Respectively obtaining indexes after normalization of water quantity, water energy consumption per ton and water carbon emission per ton;
w is the amount of water, unit is 10 6 Ton;
e is energy consumption per ton of water, and the unit is kWh/t;
c is carbon emission per ton of water and has a unit of kgCO 2 eq/t;
α 1 、α 2 、α 3 、α 4 、α 5 、α 6 、α 7 、α 8 As fitting coefficient, α 3 、α 5 、α 6 、α 8 >0、α 4 、α 7 <0;Generally, the larger the water amount, the smaller the energy consumption per ton of water, and the smaller the carbon emission per ton of water, the larger the normalized value. In a preferred embodiment of the present invention, α 1 to α 8 obtained after normalization processing according to the following information are shown in table 4: the Asian largest sewage treatment plant is a Shanghai white harbor sewage treatment plant, and the current treatment capacity of the Asian largest sewage treatment plant reaches 280 ten thousand meters 3 /d;<Energy consumption statistics and benchmark analysis of Chinese town sewage treatment plant>Figure a. Sewage plant scale, median water quantity of (2-5) × 10 4 m 3 /d;<Energy consumption statistics and benchmark analysis of Chinese town sewage treatment plant>Statistical analysis is carried out on 1291 sewage treatment plants in China to obtain that the average value of energy consumption per ton of water is 0.317 +/-0.229 kWh/t, and the unit energy consumption is 0.030-1.418kWh/t within a 95% confidence interval;<accounting for greenhouse gas emission and time-space characteristic distribution in sewage treatment industry in China cities and towns>The average factory-level greenhouse gas emission intensity of the urban sewage treatment plant in 2016 is 0.612kg/m 3 ;<Energy consumption evaluation and carbon emission analysis of sewage plant in Hohaote area>The carbon emission of the sewage A plant is 1.94kgCO 2 eq/t。
The grades of the composite coupling index CNI include, but are not limited to: excellent, good, better, general and worse. In a preferred embodiment of the present invention, the comprehensive coupling index CNI of the sewage treatment facility is evaluated, and 80. Ltoreq. CNI.ltoreq.100 is excellent, 70. Ltoreq. CNI.ltoreq.80 is good, 60. Ltoreq. CNI.ltoreq.70 is better, 40. Ltoreq. CNI.ltoreq.60 is general, and 0. Ltoreq. CNI.ltoreq.40 is worse.
In order to obtain specific data of carbon emission, the invention divides greenhouse gas emission of a sewage treatment facility into three ranges, namely a range one, a range two and a range three, by taking the GHG protocol as a reference for defining the greenhouse gas emission ranges of goods and services. The first range is the contribution value of carbon sink in the factory boundary range to carbon emission in the structures such as pretreatment, biological treatment, secondary sedimentation tank, advanced treatment, sludge concentration, sludge dewatering and drying and the like in the operation process of the sewage treatment mechanism; the second range is energy consumption carbon emission generated by outsourcing heating power, electric power and the like in the process of construction, operation and dismantling of the sewage treatment mechanism; and the range III is the waste generated in the process of construction, operation and dismantling of the sewage treatment mechanism, the building material in the construction process, the medicament in the sewage treatment plant and the carbon emission generated in the process of transportation of the waste, the building material and the medicament.
Further, the carbon emission of the sewage treatment system is calculated according to the list of the first, second and third carbon emission ranges corresponding to formulas in IPCC2019 and provincial greenhouse gas list establishment guidelines, and the specific calculation formula is as follows:
in the formula: CF-total carbon emission (kg/CO) of sewage treatment system 2 eq);Methane carbon dioxide emission equivalent (kg/CO) of the wastewater treatment system 2 eq);Nitrous oxide carbon dioxide emission equivalent (kg/CO) of sewage treatment system 2 eq);E Energy Energy consumption carbon dioxide emission equivalent (kg/CO) of sewage treatment system 2 eq);E C -the agent consumption carbon dioxide emission equivalent (kg/CO) of the sewage treatment system 2 eq);Discharge into receiving water methane carbon dioxide emission equivalent (kg/CO) 2 eq);Discharge equivalent of nitrous oxide carbon dioxide (kg/CO) into receiving water 2 eq);
The range one:
in the formula: v-water inflow (t ^ of sewage treatment system)d);BOD in -BOD concentration (mg/L) of influent water of the sewage treatment system; BOD out The BOD concentration (mg/L) of the effluent of the sewage treatment system; b is 0 The maximum production capacity of methane, according to the guidelines (trial) compiled in the provincial greenhouse gas List, 0.6kgCH is taken 4 (ii)/kgBOD; MCF, namely methane correction factor, 0.165 is taken out according to the guide (trial) of provincial greenhouse gas inventory;the global warming potential value of methane is 21 according to the guidelines (trial) compiled in the provincial greenhouse gas list and the second evaluation report of IPCC;
in the formula: v is the water inflow (t/d) of the sewage treatment system; TN (twisted nematic) in -sewage treatment system influent TN concentration (mg/L); TN (twisted nematic) out -the effluent TN concentration (mg/L) of the sewage treatment system;-nitrous oxide emission factor; 44/28-conversion factor;the nitrous oxide global warming potential values are obtained 310 according to guidelines (trial) on compiling provincial greenhouse gas lists and the second evaluation report of IPCC.
And (2) range two:
in the formula: e, power consumption (kW.h) of the sewage treatment system in the operation stage; EF Energy -a power consumption emission factor;-dioxyThe global warming potential value of carbon monoxide was measured as 1 in accordance with "guide for compiling provincial greenhouse gas lists (trial implementation)", IPCC "report on second evaluation".
The range III is as follows:
in the formula :carbon dioxide emission factor (kgCO) of class i agents 2 /kg);C i -consumption (kg) of class i agents;the global warming potential value of carbon dioxide was obtained as 1 according to the guidelines (trial) compiled in the provincial greenhouse gas list and the second evaluation report of IPCC.
In the formula: v is the water inflow (t/d) of the sewage treatment system; BOD out The BOD concentration (mg/L) of the effluent of the sewage treatment system; b is 0 The maximum production capacity of methane, according to the guidelines (trial) compiled in the provincial greenhouse gas List, 0.6kgCH is taken 4 (ii) kgBOD; MCF, namely methane correction factor, is taken as 0.1 according to the guide (trial) compiled by provincial greenhouse gas list;the global warming potential value of methane is 21 according to the guidelines (trial) compiled in the provincial greenhouse gas list and the second evaluation report of IPCC;
in the formula: v-sewage treatment systemWater inflow (t/d); TN (twisted nematic) motor out -the effluent TN concentration (mg/L) of the sewage treatment system;-nitrous oxide emission factor; 44/28-conversion factor;nitrous oxide global warming potential values were obtained 310 according to guidelines (trial) compiled in provincial greenhouse gas lists, and second evaluation report of IPCC.
CF is the total carbon emission, the ratio of CF to water amount is the ton water carbon emission or ton water carbon footprint, and the ratio of CF to pollutant removal is the unit pollutant removal carbon emission.
In the invention, when the development coordination degree of water, energy and carbon is evaluated, the evaluation index is selected from any one of the following four matching modes:
(1) a ton of water grey water footprint, a ton of water energy footprint and a ton of water carbon footprint;
(2) water quantity, ton water energy consumption and ton water carbon emission;
(3) pollutant removal amount, unit pollutant removal energy consumption and unit pollutant removal carbon emission;
(4) water volume, total energy consumption and total carbon emissions.
Bubble or triangulation plots may be used to evaluate the "water-energy-carbon" coupling of a single or multiple wastewater treatment facilities.
In the present invention, the consistency index may be a consistency coefficient CI.
The formula of the consistency factor CI is as follows:
wherein ,
w is a water index;
e is an energy consumption index;
c is a carbon emission index;
w' is the normalized water index;
e' is the energy consumption index after normalization;
c' is a normalized carbon index;
W MAX 、E MAX 、C MAX the maximum values of water, energy consumption and carbon emission are respectively;
W MIN 、E MIN 、C MIN the minimum values of water, energy consumption and carbon emission are respectively;
a is the average value of the three after normalization.
In the present invention, the level of the consistency coefficient CI may include, but is not limited to: better, good, general, worse. If CI is more than 80 and less than or equal to 100, the coordination of water, energy and carbon is better; if CI is more than 60 and less than or equal to 80, the coordination of the three is good; if CI is more than 30 and less than or equal to 60, the coordination of the three is general; if CI is more than or equal to 0 and less than or equal to 30, the coordination of the three is poor.
The bubble chart is used for evaluating the 'water-energy-carbon' coupling relation of single or multiple sewage treatment mechanisms, and can be classified into coordination, disorder and the like. And taking the numerical value corresponding to the third quartile of water and energy as a straight line parallel to the coordinate axis, dividing the bubble diagram into four areas I, II, III and IV, and defining the areas I and III as development coordination areas and the areas II and IV as development disorder areas. The triangular graph is used for evaluating the 'water-energy-carbon' coupling relation of single or multiple sewage treatment mechanisms, and can be classified into coordination, disorder and the like. For example, the triangular diagram is divided into 7 regions, wherein a region I is a water energy and carbon development coordination region, a region II is a low water volume region, a region III is a low energy consumption region, a region IV is a low carbon region, a region V is a high carbon region, a region VI is a high water volume region, and a region VII is a high energy consumption region.
In still another aspect, the invention further provides an application of the water-energy-carbon coupling model, wherein the water-energy-carbon coupling model is used for evaluating the operation of the sewage treatment mechanism, or the operation level of the sewage treatment mechanism is improved by exploring the influence of various factors on the water-energy-carbon coupling of the sewage treatment mechanism. For example, according to the constructed coupling model of 'water-energy-carbon', selecting required water, energy and carbon input data, and evaluating or improving the operation level of the sewage treatment mechanism by using CNI, CI, a triangular graph and/or a bubble graph; such factors include, but are not limited to: the water inlet amount, the water temperature, the load factor, the discharge standard, the concentration of pollutants in and out of water, pH, the process, the dosage of the medicament, the service area of a sewage treatment mechanism, the region, the terrain or the management factor.
The invention provides a new idea of taking water, energy and carbon into consideration cooperatively, evaluates the operation level of the sewage treatment mechanism from two aspects of comprehensive operation efficiency and development coordination degree, and is objective and more in line with the actual situation. The water-energy-carbon coupling model provided by the invention can be used for exploring the influence of various factors such as water inlet amount, water temperature, load rate, discharge standard, pollutant inlet and outlet water concentration, pH, process, medicament dosage, service area of a sewage treatment mechanism, region (city/rural), terrain, management and the like on the water-energy-carbon coupling of the sewage treatment mechanism. The 'water-energy-carbon' coupling model is used for evaluating the operation condition of the sewage treatment mechanism, and the optimal solution of water quality improvement, energy conservation and carbon reduction in the development process of the sewage treatment mechanism can be obtained in the controllable range of the existing water, energy and carbon related factors.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that each of the drawings in the following description is directed to some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a conceptual diagram of "water-energy-carbon" coupled trigonometric zones in the present invention.
FIG. 2 is a triangular diagram of the coupling of water-energy-carbon in sewage treatment plants in different seasons in example 3 of the present invention.
FIG. 3 is a triangle diagram of the water-energy-carbon coupling of different sewage treatment plants in example 4 of the present invention.
FIG. 4 is a triangle diagram of the "water-energy-carbon" coupling in a sewage treatment plant of different years in example 5 of the present invention.
FIG. 5 is a diagram of the "water-energy-carbon" coupled bubble in sewage treatment plant of different years in example 6 of the present invention.
Detailed Description
Aiming at the defects in the existing evaluation method, the invention provides a 'water-energy-carbon' coupling model and application thereof in operation evaluation of a sewage treatment mechanism.
The Comprehensive operation efficiency of the sewage treatment mechanism is evaluated by using a Comprehensive coupling Index CNI (Comprehensive Nexus Index), and when the Comprehensive coupling Index is constructed only according to water, energy and carbon data, the Comprehensive coupling Index is CNI WEC The concrete formula is as follows:
CNI WEC =100(γ 1 I 1 +γ 2 I 2 +γ 3 I 3 ) Formula (II)
I 1 =α 1 +α 2 lnW formula (III)
I 2 =α 3 E 2 +α 4 E+α 5 Formula (IV)
I 3 =α 6 C 2 +α 7 C+α 8 Formula (V)
in the formula ,γ1 、γ 2 、γ 3 Are the weight factors of water, energy and carbon respectively, and gamma is more than 0 i <1,In general, a wastewater treatment plant may be set upIf the weight factor of water is increased properly for a sewage treatment plant with more importance attached to water quality, for example, settingFor a sewage treatment plant with more important energy consumption and carbon emission, the weight setting is the same as above.
I 1 、I 2 、I 3 Respectively obtaining indexes after normalization of water quantity, water energy consumption per ton and water carbon emission per ton; w is the amount of water (10) 6 t); e is energy consumption per ton of water (kWh/t); c is carbon emission per ton of water (kgCO) 2 eq/t);α 1 、α 2 、α 3 、α 4 、α 5 、α 6 、α 7 、α 8 As fitting coefficient, α 3 、α 5 、α 6 、α 8 >0、α 4 、α 7 <0;Stipulate 80. Ltoreq. CNI WEC Excellent at 100 or less, CNI of 70 or more WEC Good < 80, CNI of 60. Ltoreq WEC Preferably < 70, CNI of 40. Ltoreq WEC < 60 is normal, 0 < CNI WEC < 40 is worse.
Further, the development coordination degree of the water, the energy and the carbon is represented by using a consistency coefficient, and the specific formula is as follows:
wherein, W is a water index; e is an energy consumption index; c is a carbon emission index; w' is the normalized water index; e' is the energy consumption index after normalization; c' is a normalized carbon index; w is a group of MAX 、E MAx 、C MAX The maximum values of water, energy consumption and carbon emission are respectively; w MIN 、E MIN 、C MIN Respectively the minimum value of water, energy consumption and carbon emission; a is the average value of the three after normalization; CI is the consistency coefficient of the three.
If CI is more than 80 and less than or equal to 100, the coordination of the three is better; if CI is more than 60 and less than or equal to 80, the three have good coordination; if CI is more than 30 and less than or equal to 60, the coordination of the three is general; if CI is more than 0 and less than or equal to 30, the coordination of the three is poor.
It is worth noting that when describing development coordination degrees of water, energy and carbon, 4 index matching modes are provided, namely a ton water grey water footprint, a ton water energy footprint and a ton water carbon footprint; water quantity, ton water energy consumption and ton water carbon emission; pollutant removal amount, unit pollutant removal energy consumption and unit pollutant removal carbon emission; water volume, total energy consumption, and total carbon emission intensity.
Further, the "water-energy-carbon" coupling relationship of a single or multiple wastewater treatment facilities can be evaluated and expressed by a bubble chart, and the normalization treatment of water, energy and carbon data before use is specified. With water as the abscissa and can be the ordinate, carbon is represented by the shade of the dot (the darker the color, the greater the carbon emissions). And setting a numerical value corresponding to a third quartile of water and energy as a straight line parallel to a coordinate axis, dividing the bubble diagram into four areas I, II, III and IV, wherein the area including an original point is a III area, the areas III, IV, I and II are clockwise sequentially, the areas I and III are set as development coordination areas, and the areas II and IV are set as development disorder areas.
Further, the "water-energy-carbon" coupling relationship of a single or multiple wastewater treatment facilities is evaluated and can be represented by a triangle chart, and the normalization treatment of the water, energy and carbon data before use is specified. The triangular diagram is divided into 7 areas, wherein an area I is a water energy and carbon development coordination area, an area II is a low-water-quantity area, an area III is a low-energy consumption area, an area IV is a low-carbon area, an area V is a high-carbon area, an area VI is a high-water-quantity area, and an area VII is a high-energy consumption area. FIG. 1 is a conceptual diagram of a "water-energy-carbon" coupled triangular partition.
It is worth noting that the influence of factors such as the water inflow amount, the water temperature, the load rate, the discharge standard, the concentration of pollutant water in and out, the pH value, the service area of the sewage treatment mechanism, the process, the dosage of the medicament, the region (city/countryside), the terrain and the like on the water-energy-carbon coupling of the sewage treatment mechanism can be further researched through a triangular chart and a bubble chart.
The technical solutions will be described clearly and completely through the embodiments of the present application, and it is obvious that the described embodiments are only a part of the preferred embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any inventive step, shall fall within the scope of protection of the present application.
Selecting a certain sewage treatment plant F as a case factory, designing the treatment scale of the sewage treatment plant to be 15 million tons/day, adopting an improved AAO nitrogen and phosphorus removal and advanced treatment process, and executing discharge limit of main water pollutants of urban sewage treatment plants in Taihu lake regions and key industrial industries (DB 32/1072-2018) on effluent.
Example 1
The greenhouse gas emission of the sewage treatment plant F is divided into three ranges, the specific list is as follows,
TABLE 1A list of the range of the first, second and third carbon emissions of a certain sewage treatment plant
And calculating the carbon emission of the sewage treatment system according to the list of the first, second and third carbon emission ranges corresponding to the formula in IPCC2019 and the guide for compiling provincial greenhouse gas lists.
Taking 2017 as an example, the results of calculating the equivalent carbon dioxide emission in the first range, the second range and the third range from 1 month to 12 months are shown in table 2.
TABLE 2 equivalent results for carbon dioxide emissions in the first, second and third ranges of each month
Example 2
Selecting CNI WEC As an index for evaluating the comprehensive operation efficiency of the sewage treatment plant, setting a weight factorα 1 、α 2 、α 3 、α 4 、α 5 、α 6 、α 7 、α 8 The values determined in table 4 may be selected. The larger the default water amount is, the smaller the water energy consumption per ton is, the smaller the carbon emission per ton is, and the larger the normalized numerical value is.
The data in the following table are derived from the following information: the Asian largest sewage treatment plant is a Shanghai white harbor sewage treatment plant, and the current treatment capacity of the Asian largest sewage treatment plant reaches 280 ten thousand meters 3 /d;<Energy consumption statistics and benchmark analysis of Chinese town sewage treatment plant>Figure a. Sewage plant scale, median water quantity was (2-5) × 10 4 m 3 /d;<Energy consumption statistics and benchmark analysis of Chinese town sewage treatment plant>Statistical analysis is carried out on 1291 sewage treatment plants in China to obtain that the average value of energy consumption per ton of water is 0.317 +/-0.229 kWh/t, and the unit energy consumption is 0.030-1.418kWh/t within a 95% confidence interval;<accounting for greenhouse gas emission and time-space characteristic distribution in sewage treatment industry of China cities and towns>The average emission intensity of the factory-level greenhouse gases of urban sewage treatment plants in China in 2016 is 0.612kg/m 3 ;<Energy consumption evaluation and carbon emission analysis of sewage plant in Hohaote area>The carbon emission of the sewage A plant is 1.94kgCO 2 eq/t. Note: the minimum value of energy consumption per ton of water and carbon emission per ton of water is 0, and the minimum value is set to be 0.001 because the water quantity is normalized by a logarithmic relation subsequently.
TABLE 3 set Water, energy, carbon normalization results
The results were obtained:
TABLE 4. Alpha 1 -α 8 Result of calculation of (2)
Then CNI WEC The calculation formula is as follows:
I 1 =0.88+0.12ln W
I 2 =0.7E 2 -1.7E+1
I 3 =0.24C 2 -C+1
in the formula ,I1 、I 2 、I 3 Respectively obtaining indexes after normalization of water quantity, water energy consumption per ton and water carbon emission per ton; w is the amount of water (10) 6 t); e is energy consumption per ton of water (kWh/t); c is carbon emission per ton of water (kgCO) 2 eq/t)。
Taking the annual average of a sewage treatment plant F as an example, data are obtained: the water quantity is 138485t, the energy consumption per ton of water is 0.28kWh/t, and the carbon emission per ton of water is 0.48kgCO 2 eq/t. Substituting into the formula to obtain:
TABLE 5 CNI WEC Result of calculation of (2)
Stipulate 80. Ltoreq. CNI WEC Excellent at 100 or less, CNI at 70 or more WEC Good if less than 80, CNI of 60 ≤ WEC Preferably < 70, CNI of 40. Ltoreq WEC < 60 is normal, 0 < CNI WEC < 40 is worse. Therefore, the comprehensive operation efficiency of the sewage treatment plant F is better.
Example 3
A triangular chart is selected to explore the influence of water temperature on 'water-energy-carbon' coupling of a sewage treatment plant F, 1 month, 2 months and 3 months are selected as water low-temperature time periods, 7 months, 8 months and 9 months are selected as water high-temperature time periods, coordinates are selected as water quantity, water energy consumption per ton and water carbon emission per ton, the average values of the water quantity, the water energy consumption per ton and the water carbon emission per ton in the water high-temperature time period and the low-temperature time period per year are taken, and a used numerical table is shown in a table 6.
TABLE 6 mean values of water quantity, water energy consumption per ton and carbon emission per ton at different temperatures
The data were normalized and the resulting triangle graph was plotted as shown in fig. 2.
The triangular graph shows that the temperature has an influence on the water-energy-carbon coupling of the sewage treatment plant, and compared with the high-temperature condition, the energy consumption is higher at the low temperature.
Example 4
A triangular diagram is selected to explore the coupling condition of 'water-energy-carbon' of different sewage treatment plants, coordinates are selected as water quantity, energy consumption per ton of water and carbon emission per ton of water, and a used numerical table is shown in a table 7.
TABLE 7 results of water amount, energy consumption per ton of water, carbon emission per ton of water for different sewage treatment plants
The data were normalized and the resulting triangular plot was plotted as shown in fig. 3.
The triangle shows that the water-energy-carbon coupling states of different sewage treatment plants are different.
Example 5
A triangular chart is selected to explore the coupling condition of 'water-energy-carbon' in different years of a sewage treatment plant F, the mean values of the year and month of 2007, 2009, 2017 and 2021 are taken as examples, coordinates are selected as water quantity, water energy consumption per ton and water carbon emission per ton, and the used numerical table is shown in a table 8.
TABLE 8 coupling of Water-energy-carbon in different years for Sewage treatment plant F
The data were normalized and the resulting triangular plot was plotted as shown in fig. 4.
The triangular graph shows that the water-energy-carbon coupling states of the same sewage treatment plant in different years are different and have a certain change trend. In 2007 to 2021, images are shifted to the right, the amount of treated water in a sewage treatment plant is increased, the energy consumption per ton of water is increased, and the emission control per ton of water and carbon is better under the change trend. Data points are more located in a development coordination area according to the zoning conditions of 2007 and 2009.
Example 6
Selecting a bubble diagram to explore the water-energy-carbon coupling condition of the sewage treatment plant F in different years, taking the daily mean value of 2007, 2009, 2017 and 2021 as an example, selecting coordinates of a ton water and grey water footprint, a ton water and energy footprint and a ton water and carbon footprint, taking a ton water and grey water footprint (EnF) as an abscissa, a ton water and energy footprint (GWP) as an ordinate, and a ton water and Carbon Footprint (CF) as a point with light and dark color (the darker the color is, the larger the value of the ton water and carbon footprint is). Normalizing the data, selecting the values EnF =0.395 and GWF =0.254 corresponding to the third quartile of water and energy as straight lines parallel to coordinate axes, dividing the bubble diagram into four areas I, II, III and IV, wherein the area including the origin is the area III, the areas III, IV, I and II are clockwise in sequence, and the areas I and III are specified as development coordination areas, and the areas II and IV are development disorder areas. The resulting bubble map is shown in fig. 5.
The bubble chart shows that the water-energy-carbon coupling states of the same sewage treatment plant in different years are different, a certain change trend exists, and the dispersion degrees of points are different. Data points in 2009 are mostly located in the development coordination area, and data points in 2021 are mostly located in the development disorder area.
Example 7
According to example 5, it is found that the development coordination degree of water, energy and carbon in 2007 of the sewage treatment plant F is better, and the times of 2009 are the better. According to example 6, it is found that the coordination degree of development of water, energy and carbon in 2009 from the sewage treatment plant F is better, and the coordination degree of development of water, energy and carbon in 2021 is worse.
The consistency coefficient CI for four years 2007, 2009, 2017, 2021 was calculated according to the following formula,
wherein W isWater index; e is an energy consumption index; c is a carbon emission index; w' is the normalized water index; e' is the energy consumption index after normalization; c' is a normalized carbon index; w is a group of MAX 、E MAX 、C MAX The maximum values of water, energy consumption and carbon emission are respectively; w MIN 、E MIN 、C MIN The minimum values of water, energy consumption and carbon emission are respectively; a is the average value of the three after normalization; CI is the consistency coefficient of the three.
The calculation results are shown in Table 9.
TABLE 9 CI value calculation results for different years
It can be seen that the water, energy and carbon development coordination degree in 2007 of the sewage treatment plant F is the best, the time of 2009 is the second, 2021 is worse, and the results are consistent with the results of the triangle graph and the bubble graph.
Example 8
Selecting CNI WEC Setting a weight factor as an index for evaluating the comprehensive operation efficiency of the sewage treatment plant
α 1 、α 2 、α 3 、α 4 、α 5 、α 6 、α 7 、α 8 The values in table 11 may be selected. The larger the default water amount is, the smaller the water energy consumption per ton is, the smaller the carbon emission per ton is, and the larger the normalized numerical value is.
The data in the following table are derived from the following information: the current processing capacity of the Asian largest sewage treatment plant for Shanghai white harbor sewage treatment plants reaches 280 ten thousand meters 3 /d;<Energy consumption statistics and benchmark analysis of Chinese town sewage treatment plant>Figure a. Sewage plant scale, median water quantity of (2-5) × 10 4 m 3 /d;<Energy consumption statistics and benchmark analysis of Chinese town sewage treatment plant>Statistical analysis of 1291 sewage treatment plants in China shows that the average energy consumption per ton of water is 0.317 +/-0.229 which is 95 percentWithin the confidence interval, the unit energy consumption is 0.030-1.418;<accounting for greenhouse gas emission and time-space characteristic distribution in sewage treatment industry in China cities and towns>The average factory-level greenhouse gas emission intensity of the urban sewage treatment plant in 2016 is 0.612kg/m 3 ;<Energy consumption evaluation and carbon emission analysis of sewage plant in Hohaote area>The carbon emission of the sewage A plant is 1.94kgCO 2 eq/t. Note: the minimum value of energy consumption per ton of water and carbon emission per ton of water is 0, and the minimum value is set to be 0.001 due to the fact that water quantity is normalized by a logarithmic relation.
TABLE 10 set Water, energy, carbon normalization results
The results were obtained:
TABLE 11 α 1 -α 8 Result of calculation of (2)
Then CNI WEC The calculation formula is as follows:
I 1 =0.88+0.12lnW
I 2 =0.7E 2 -1.7E+1
I 3 =0.24C 2 -C+1
in the formula ,I1 、I 2 、I 3 Respectively obtaining indexes after normalization of water amount, water energy consumption per ton and carbon emission per ton; w is the amount of water (10) 6 t); e is energy consumption per ton of water (kWh/t); c is carbon emission per ton of water (kgCO) 2 eq/t)。
Set sewage treatmentThe daily treatment water amount of a factory is 500000t, the energy consumption per ton of water is 0.2kWh/t, and the emission per ton of water and carbon is 0.7kgCO 2 eq/t. Substituting into the formula to obtain:
TABLE 12 CNI WEC Result of calculation of (2)
Stipulate 80. Ltoreq. CNI WEC Excellent at 100 or less, CNI of 70 or more WEC Good if less than 80, CNI of 60 ≤ WEC Preferably < 70, CNI of 40. Ltoreq WEC Less than 60 is normal, 0 < CNI WEC < 40 is worse. Therefore, the sewage treatment plant has better comprehensive operation efficiency.
If only the weighting factor is changed, i.e. gamma 1 、γ 2 、γ 3 Setting gamma 1 =γ 2 =1/6、γ 3 =2/3, other parameters being unchanged,
then CNI WEC The calculation formula is as follows:
I 1 =0.88+0.12lnW
I 2 =0.7E 2 -1.7E+1
I 3 =0.24C 2 -C+1
in the formula ,I1 、I 2 、I 3 Respectively obtaining indexes after normalization of water quantity, water energy consumption per ton and water carbon emission per ton; w is the amount of water (10) 6 t); e is energy consumption per ton of water (kWh/t); c is carbon emission per ton of water (kgCO) 2 eq/t)。
Setting the daily treated water quantity of 500000t of a sewage treatment plant, the energy consumption per ton of water to be 0.2kWh/t and the emission per ton of water carbon to be 0.7kgCO 2 eq/t, substituting into the formula:
TABLE 13 CNI WEC Result of calculation of (2)
Stipulate 80. Ltoreq. CNI WEC Excellent at 100 or less, CNI of 70 or more WEC Good < 80, CNI of 60. Ltoreq WEC Preferably < 70, CNI of 40. Ltoreq WEC Less than 60 is normal, 0 < CNI WEC < 40 is worse. Therefore, the comprehensive operation efficiency of the sewage treatment plant is general.
The conclusion that the comprehensive operation efficiency of a certain sewage treatment plant is judged differently when the sewage treatment plant attaches different attention to water, energy and carbon, namely the water, energy and carbon weights are set differently can be disclosed by the formula of the invention.
Example 9
Setting daily water treatment quantity of a certain sewage treatment plant to be 200000t, energy consumption per ton of water to be 0.7kWh/t and carbon emission per ton of water to be 0.7kgCO 2 eq/t, effluent meets the standard of DB 32/1072-2018. If the evaluation is only carried out according to the assessment index of the effluent quality of the sewage treatment plant, the effluent quality of the sewage treatment plant is good, and the assessment requirement is met.
With reference to all the parameter settings and formulas in example 2, we can obtain:
TABLE 14 CNI WEC Result of calculation of (2)
Stipulate 80. Ltoreq. CNI WEC Excellent at 100 or less, CNI of 70 or more WEC Good if less than 80, CNI of 60 ≤ WEC Preferably < 70, CNI of 40. Ltoreq WEC < 60 is normal, 0 < CNI WEC < 40 is worse. Therefore, the comprehensive operation efficiency of the sewage treatment plant is poor. The sewage treatment plant is explained to have a typical 'situation of changing water quality by energy'. The assessment indexes of the invention are more comprehensive and comprehensive.
The above-described embodiments are only specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be suggested by those skilled in the art without inventive work within the technical scope disclosed in the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims in the present application.
Claims (10)
1. A sewage treatment mechanism evaluation method is characterized by comprising the following steps:
step one, defining a data acquisition boundary of a sewage treatment mechanism and defining a carbon emission range;
step two, constructing a 'water-energy-carbon' coupling model through normalization treatment, wherein the 'water-energy-carbon' coupling model comprises one or more of a comprehensive coupling index for evaluating the comprehensive operation efficiency of the sewage treatment mechanism, a consistency index for evaluating the development coordination degree of water, energy and carbon, a triangular diagram of water-energy-carbon data or a bubble diagram of the water-energy-carbon data;
wherein, the comprehensive coupling index is constructed by normalizing the factors influencing the conditions of water, energy and carbon in the sewage treatment mechanism respectively and summing the product of the weight of each factor and the normalized numerical value;
the consistency index is constructed by carrying out normalization treatment on the water, energy and carbon number data of the sewage treatment mechanism and analyzing the fluctuation condition of the water, energy and carbon number data;
and step three, collecting or measuring water, energy and carbon data of the sewage treatment mechanism according to the water-energy-carbon coupling model, and evaluating the sewage treatment mechanism.
2. The method according to claim 1, wherein the water, energy and carbon number data is selected from but not limited to one or more of the following: the water inlet amount, the pollutant concentration in inlet and outlet water, energy consumption and carbon emission; or
The carbon emissions are divided into three ranges: range one, range two and range three;
wherein the carbon number data for range one is selected from one or more of the following: the method comprises the following steps of discharging methane and nitrous oxide in a structure of pretreatment, biological treatment, secondary sedimentation tank, advanced treatment, sludge concentration or sludge dewatering and drying or a contribution value of carbon sink in a boundary range to carbon discharge in the operation process of a sewage treatment mechanism;
carbon number data in the range two is selected from one or more of the following: energy consumption type carbon emission generated by outsourcing heating power and electric power in the process of construction, operation and demolition of the sewage treatment mechanism;
carbon number data in the range of three is selected from one or more of the following: the waste generated in the process of construction, operation and dismantling of the sewage treatment mechanism, the building materials in the construction process, the medicament of the sewage treatment mechanism and the carbon emission generated in the process of transporting the waste, the building materials and the medicament.
3. The method for evaluating a wastewater treatment facility according to claim 1, further comprising the step of ranking wastewater treatment facilities by: or,
the grades of the composite coupling index CNI include, but are not limited to: excellent, good, better, general, worse;
the level of the consistency coefficient CI includes, but is not limited to: better, good, general, worse;
the levels of the triangle or bubble map include, but are not limited to: coordination and disorder.
4. The evaluation method for a sewage treatment facility according to claim 1,
when the development coordination degree of the water, the energy and the carbon is evaluated, the evaluation index is selected from any one of the following four matching modes: (1) a ton water grey water footprint, a ton water energy footprint, and a ton water carbon footprint; (2) water quantity, ton water energy consumption and ton water carbon emission; (3) pollutant removal amount, unit pollutant removal energy consumption and unit pollutant removal carbon emission; or, (4) water volume, total energy consumption, and total carbon emissions.
5. A 'water-energy-carbon' coupling model is characterized by comprising one or more of a comprehensive coupling index for evaluating the comprehensive operation efficiency of a sewage treatment mechanism, a consistency index for evaluating the development coordination degree of water, energy and carbon, a triangular graph of water-energy-carbon data or a bubble graph of water-energy-carbon data;
wherein, the comprehensive coupling index is constructed by normalizing the factors influencing the conditions of water, energy and carbon in the sewage treatment mechanism respectively and summing the product of the weight of each factor and the normalized numerical value;
the consistency index is constructed by carrying out normalization treatment on the water, energy and carbon number data of the sewage treatment mechanism and analyzing the fluctuation condition of the water, energy and carbon number data;
the bubble diagram and the triangular diagram are used to evaluate the "water-energy-carbon" coupling relationship of a single or multiple wastewater treatment facilities.
6. The "water-energy-carbon" coupling model of claim 5,
the comprehensive coupling index is a comprehensive coupling index CNI;
in the process of constructing the comprehensive coupling index CNI, when the water quantity, the energy consumption and the carbon emission are normalized, the water quantity is normalized by using a logarithmic relation, and the energy consumption and the carbon emission are normalized by using a quadratic function relation; or alternatively
The calculation formula of the comprehensive coupling index CNI is
wherein ,γi Is the weight of the ith variable;
I i the index after the variable normalization of the ith item;
preferably, when the comprehensive coupling index is constructed only according to the data of water, energy and carbon number, the comprehensive coupling index is CNI WEC ;
CNI WEC In the construction process, when the water quantity, the energy consumption and the carbon emission are normalized, the water quantity is normalized by using a logarithmic relation, and the energy consumption and the carbon emission are normalized by using a quadratic function relation; or alternatively
CNI WEC The formula of (1) is as follows:
CNI WEC =100(γ 1 I 1 +γ 2 I 2 +γ 3 I 3 ) Formula (II)
I 1 =α 1 +α 2 lnW formula (III)
I 2 =α 3 E 2 +α 4 E+α 5 Formula (IV)
I 3 =α 6 C 2 +α 7 C+α 8 Formula (V)
wherein ,γ1 、γ 2 、γ 3 Are the weight factors of water, energy and carbon respectively, and gamma is more than 0 i <1,
I 1 、I 2 、I 3 Respectively obtaining indexes after normalization of water amount, water energy consumption per ton and carbon emission per ton;
w is the amount of water in the unit of 10 6 Ton;
e is energy consumption per ton of water, and the unit is kWh/t;
c is carbon emission per ton of water and has a unit of kgCO 2 eq/t;
7. The water-energy-carbon coupling model of claim 5, wherein the consistency indicator is a consistency coefficient CI;
the formula of the consistency factor CI is as follows:
wherein ,
w is a water index;
e is an energy consumption index;
c is a carbon emission index;
w' is the normalized water index;
e' is the energy consumption index after normalization;
c' is a normalized carbon index;
W MAX 、E MAX 、C MAX the maximum values of water, energy consumption and carbon emission are respectively;
W MIN 、E MIN 、C MIN the minimum values of water, energy consumption and carbon emission are respectively;
a is the average value of the three after normalization.
8. The "water-energy-carbon" coupling model of claim 5, wherein the overall coupling index CNI of the wastewater treatment facility is evaluated, 80 CNI 100 is excellent, 70 CNI 80 is good, 60 CNI 70 is good, 40 CNI 60 is normal, 0 CNI 40 is poor; or
For the consistency coefficient CI, if CI is more than 80 and less than or equal to 100, the coordination of water, energy and carbon is better; if CI is more than 60 and less than or equal to 80, the coordination of the three is good; if CI is more than 30 and less than or equal to 60, the three are in common harmony; if CI is more than or equal to 0 and less than or equal to 30, the coordination of the three is poor;
preferably, a bubble diagram is used for evaluating the water-energy-carbon coupling relation of a single sewage treatment mechanism, a numerical value corresponding to the third quartile of water and energy is taken as a straight line parallel to a coordinate axis, the bubble diagram is divided into four areas I, II, III and IV, the areas I and III are specified as development coordination areas, and the areas II and IV are specified as development disorder areas; or
The triangular diagram is used for evaluating the water-energy-carbon coupling relation of a plurality of sewage treatment mechanisms and is divided into 7 areas, wherein the area I is a water energy and carbon development coordination area, the area II is a low-water-quantity area, the area III is a low-energy consumption area, the area IV is a low-carbon area, the area V is a high-carbon area, the area VI is a high-water-quantity area, and the area VII is a high-energy consumption area.
9. The use of the "water-energy-carbon" coupling model of claim 5, wherein the "water-energy-carbon" coupling model is used to evaluate the operation of a wastewater treatment facility or to improve the operational level of a wastewater treatment facility by exploring the effects of various factors on the "water-energy-carbon" coupling of the wastewater treatment facility.
10. The use of claim 9, wherein the required water, energy, carbon data is determined based on the constructed "water-energy-carbon" coupling model, CNI, CI, trigonometric and/or bubble chart is used to evaluate or improve the operation level of the wastewater treatment facility; such factors include, but are not limited to: the water inlet amount, the water temperature, the load factor, the discharge standard, the concentration of pollutants in and out of water, pH, the process, the dosage of the medicament, the service area of a sewage treatment mechanism, the region, the terrain or the management factor.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116542574A (en) * | 2023-05-25 | 2023-08-04 | 长江生态环保集团有限公司 | Sewage treatment plant system efficiency evaluation method and system based on analytic hierarchy process |
CN116862292A (en) * | 2023-06-26 | 2023-10-10 | 同济大学 | Water-energy-carbon association analysis method, system, equipment and medium |
CN116911628A (en) * | 2023-06-26 | 2023-10-20 | 福州水务集团有限公司 | Evaluation method and system for comprehensive and synergistic effect coupling mechanism of water service system |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2021100706A4 (en) * | 2021-02-04 | 2021-04-22 | Beijing Institute Of Technology | An Integrated Assessment Method of Climate Change Based on Multi-Source Carbon Data |
CN113554296A (en) * | 2021-07-16 | 2021-10-26 | 国网江苏省电力有限公司经济技术研究院 | Multi-index evaluation method for planning of park comprehensive energy system |
CN114139846A (en) * | 2021-09-01 | 2022-03-04 | 深圳卓越智联科技有限公司 | Metro carbon accounting and carbon neutralization evaluation system and evaluation method |
CN114239230A (en) * | 2021-11-19 | 2022-03-25 | 中节能国祯环保科技股份有限公司 | Method for constructing carbon emission evaluation index system of sewage treatment plant |
-
2022
- 2022-06-23 CN CN202210717082.6A patent/CN115222208B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2021100706A4 (en) * | 2021-02-04 | 2021-04-22 | Beijing Institute Of Technology | An Integrated Assessment Method of Climate Change Based on Multi-Source Carbon Data |
CN113554296A (en) * | 2021-07-16 | 2021-10-26 | 国网江苏省电力有限公司经济技术研究院 | Multi-index evaluation method for planning of park comprehensive energy system |
CN114139846A (en) * | 2021-09-01 | 2022-03-04 | 深圳卓越智联科技有限公司 | Metro carbon accounting and carbon neutralization evaluation system and evaluation method |
CN114239230A (en) * | 2021-11-19 | 2022-03-25 | 中节能国祯环保科技股份有限公司 | Method for constructing carbon emission evaluation index system of sewage treatment plant |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116542574A (en) * | 2023-05-25 | 2023-08-04 | 长江生态环保集团有限公司 | Sewage treatment plant system efficiency evaluation method and system based on analytic hierarchy process |
CN116862292A (en) * | 2023-06-26 | 2023-10-10 | 同济大学 | Water-energy-carbon association analysis method, system, equipment and medium |
CN116911628A (en) * | 2023-06-26 | 2023-10-20 | 福州水务集团有限公司 | Evaluation method and system for comprehensive and synergistic effect coupling mechanism of water service system |
CN117473208A (en) * | 2023-12-28 | 2024-01-30 | 天津创业环保集团股份有限公司 | Method for calculating carbon emission amount of urban sewage treatment plant |
CN117473208B (en) * | 2023-12-28 | 2024-03-22 | 天津创业环保集团股份有限公司 | Method for calculating carbon emission amount of urban sewage treatment plant |
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