CN111268878B - Method for rapidly evaluating methane production through anaerobic bioconversion of excess sludge - Google Patents

Method for rapidly evaluating methane production through anaerobic bioconversion of excess sludge Download PDF

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CN111268878B
CN111268878B CN202010063471.2A CN202010063471A CN111268878B CN 111268878 B CN111268878 B CN 111268878B CN 202010063471 A CN202010063471 A CN 202010063471A CN 111268878 B CN111268878 B CN 111268878B
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戴晓虎
许颖
李磊
郑琳珂
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Abstract

The invention provides a method for rapidly evaluating the methane production by anaerobic bioconversion of excess sludge, which is characterized in that the method utilizes fractal dimension to represent the compactness and the porosity of the sludge structure based on the structural characteristics of the excess sludge, and finds that the fractal dimension of the sludge has obvious negative correlation with the methane production potential by anaerobic bioconversion; based on the concept of sludge particle surface binding sites, the sludge particle surface site density and the methane production rate of anaerobic sludge biotransformation have obvious positive correlation; therefore, a judgment equation is constructed by combining the fractal dimension and the surface site density to evaluate the potential and the rate of methane production by the sludge; compared with the existing evaluation method, the method disclosed by the invention does not need to evaluate the anaerobic bioconversion methanogenesis efficiency of the excess sludge through a long-time biochemical methanogenesis potential experiment, avoids a complicated experiment process and a longer measurement period, enriches an index system for currently representing the sludge property, and has a wide application prospect in the research and practice of sludge anaerobic biological treatment.

Description

Method for rapidly evaluating methane production through anaerobic bioconversion of excess sludge
Technical Field
The invention belongs to the technical field of anaerobic biological treatment of sludge, and particularly relates to a method for rapidly evaluating methane production by anaerobic biotransformation of excess sludge.
Background
With the widespread use of the activated sludge process in sewage treatment plants, large amounts of waste sludge are produced. According to incomplete statistics, in 2018, the annual output of sludge in China breaks through 6000 million tons (calculated by 80% of water content). The sludge contains a large amount of pollutants, and serious secondary pollution is caused if the sludge is not properly treated and disposed. The anaerobic digestion technology can recover energy (such as methane) while treating pollutants, and is a mainstream technology for realizing the comprehensive utilization of sludge resources. A methane generation rate constant (k) and a net accumulated methane yield (NCMP) are main indexes for evaluating methane generation through anaerobic biological conversion of sludge, and the larger the k value is, the faster the anaerobic biological conversion of sludge organic matters into methane is; the higher the NCMP value, the easier the sludge organic matter is anaerobically converted to produce methane. However, the acquisition of k and NCMP values usually requires more than 20 days of Biochemical Methanogenesis Potential (BMP) test experiments, the experiment period is long (>20 days) and the experiment period is volatile, and the research efficiency of anaerobic bioconversion of sludge to methane is greatly limited. Therefore, a method capable of rapidly evaluating the anaerobic bioconversion methanogenesis efficiency (mainly used for characterizing the sludge methanogenesis rate and potential) by analyzing the sludge physicochemical structure and properties is urgently needed.
Based on the fractal theory of representing irregular objects in nature, researchers propose that the basic morphology of the sludge structure has self-similarity and the method is suitable for the fractal theory. Fractal dimension (D)f) The higher the sludge is, the more compact the combination among the particles in the sludge is, and the more compact the structure is; fractal dimension (D)f) The lower the sludge structure, the looser the sludge structure. In fact, the sludge organic matter is an important sludge structural component, methane generated by anaerobic biological conversion of the sludge is mainly derived from the sludge organic matter, and therefore, the methane yield of the sludge is inherently related to the sludge structure, namely D for representing the sludge structurefCan characterize the potential of anaerobic biotransformation methane production of sludge organic matters.
Based on the research on the surface acidity and surface electrostatic property of sludge particles, researchers reveal that carboxyl is the main functional group influencing the surface property of sludge, and find that the sludge surface site is mainly composed of a monobasic weak acid salt form and can be combined with H proton. On one hand, in the process of producing methane by anaerobic biotransformation of sludge, enzyme molecules and anaerobic microorganisms mainly carry out anaerobic biochemical reaction through contact with the surface site of the sludge, and on the other hand, the dissolution and hydrolysis of sludge organic matters from solid particles also depend on the surface property of the sludge particles. The sludge particle Surface Site Density (SSD) is constructed based on the total sludge surface site concentration, the SSD obtained through calculation is directly related to an enzyme molecule binding site, the enzyme molecule binding site is related to the efficiency of an enzyme catalytic reaction, the efficiency of the enzyme catalytic reaction directly influences the methane production efficiency of anaerobic sludge biotransformation, and particularly directly determines the methane production rate of sludge organic matters.
In combination with the above, by integrating DfAnd the SSD can construct a method for rapidly evaluating the anaerobic bioconversion methanogenesis efficiency (mainly used for representing the methanogenesis rate and potential of the sludge) by analyzing the physicochemical structure and the property of the sludge.
Disclosure of Invention
Aiming at the problems of long determination period, easy failure and complex experiment in the prior art for evaluating the indexes of the methane production performance of anaerobic sludge biotransformation, a sludge fractal dimension (D) is constructedf) And the sludge anaerobic digestion efficiency judgment equation based on the sludge particle Surface Site Density (SSD) provides a method for quickly evaluating the methane production by the anaerobic biotransformation of the excess sludge.
In order to achieve the above purpose, the solution of the invention is as follows:
a method for rapidly evaluating the methane production by the anaerobic biotransformation of excess sludge comprises the following steps:
(1) based on the self-similarity of the basic morphology of the sludge structure, the fractal theory is applied, the scattering angle q and the scattering light intensity I are obtained through a laser particle size analyzer, and the Rayleigh scattering formula is adopted
Figure GDA0003065646850000024
Calculating to obtain the fractal dimension (D) of the sludge particlesf)；
(2) Based on the acidity and electrostatic properties of the sludge surface, the total surface site concentration MP is obtained by combining monobasic weak acid dissociation equilibrium and based on an acid-base equilibrium titration method through formulas (1) to (4)TCalculating the surface total site concentration of unit sludge Total Solids (TS) or Volatile Solids (VS) through formulas (5) and (6) to obtain the Surface Site Density (SSD) of the sludge particles;
wherein the formulas (1) to (6) are as follows:
ΔVSP＝ΔVOverall-ΔVDOM-ΔVCarbonate (1)
in the formula (I), the compound is shown in the specification,
ΔVOverallmL for the total volume of acid/base consumed by titration;
ΔVDOMacid/base volume consumed for DOM, mL;
ΔVCarbonatecarbonate consumed acid/base volume, mL;
Figure GDA0003065646850000021
Figure GDA0003065646850000022
Figure GDA0003065646850000023
in the formula (I), the compound is shown in the specification,
[H+]proton concentration at the time of titration, M;
[H+]0blank (before titration) proton concentration, M;
CAfor the total concentration of type A sites in the DOM, 10 can be used-5Conversion of mol/mg COD, M;
KaAacid constant, pK, for the A site in DOMaA＝5.3；
CTAs carbonate concentration, calculated as inorganic carbon IC concentration, M;
Ka1is the carbonate first acid constant, pKa1＝6.32。
Figure GDA0003065646850000031
Figure GDA0003065646850000032
In the formula (I), the compound is shown in the specification,
V0is the sludge sample volume, mL;
TS is the total solid content in the sludge sample, g/L;
VS is the total volatile solid content in the sludge sample, g/L.
(3) Fractal dimension (D) of integrated sludge granulesf) And Surface Site Density (SSD), obtaining a characteristic equation Y ═ SSD/D characterizing anaerobic digestion efficiency of the sludgef。
Further, in the step (1), the fractal dimension (D) of the sludge particlesf) Has positive correlation with the dissolution Apparent Activation Energy (AAE) which is an important index for representing the dissolution capability of the organic matters in the sludge, and shows that the more compact the sludge structure is (D)fThe larger the value), the worse the elution ability of organic matter in the sludge (the higher the AAE value).
Further, in the step (1), the fractal dimension (D) of the sludge particlesf) Negative correlation with the net cumulative methane production per unit (NCMP) characterizing the methanogenic nature of anaerobic bioconversion of sludge indicates that the sludge is more compact (D)fIncreased value), the poorer the methane production performance of anaerobic bioconversion of organic matter in the sludge (decreased NCMP value).
Further, in the step (2), the Surface Site Density (SSD) of the sludge granules has a negative correlation with the Apparent Activation Energy (AAE) of digestion, which is an important index representing the digestion capability of organic matter in the sludge, and it is shown that the more the number of binding sites between the surface of the sludge granules and the enzyme molecules is (the SSD value is increased), the stronger the digestion capability of organic matter in the sludge is (the AAE value is decreased).
Further, in the step (2), the Surface Site Density (SSD) of the sludge particles has a positive correlation with the methanogenic rate constant (k) which characterizes the methanogenic property of anaerobic bioconversion of the sludge, and the more the number of binding sites of the sludge particle surface and enzyme molecules is increased (SSD value is increased), the faster the methanogenic rate of anaerobic bioconversion of organic matter in the sludge is increased (k value is increased).
Further, in the step (3), the fractal dimension (D) of the sludge particlesf) Has a negative correlation with the Surface Site Density (SSD) of the resulting sludge granules, indicating that the tighter the sludge structure isHash (D)fIncreased value), the fewer the number of sites on the surface of the sludge particles that can bind protons (decreased SSD value).
Wherein the Surface Site Density (SSD) of the sludge particles and the fractal dimension (D) of the obtained sludge particlesf) Integrated anaerobic methanogenesis efficiency decision equation (Y SSD/D)f) The efficiency (speed and potential) of methane production by anaerobic biotransformation of sludge can be rapidly evaluated without biochemical methane production potential (BMP) experiments.
Due to the adoption of the scheme, the invention has the beneficial effects that:
the method of the invention does not need to obtain the index of methane production by anaerobic sludge biotransformation through a biochemical methane production potential (BMP) experiment, avoids a complicated experimental process and a longer measuring period, enriches an index system for representing the sludge property at present, can quickly and accurately evaluate the efficiency of methane production by anaerobic sludge biotransformation, and has wide application prospect in the research and practice of sludge anaerobic biological treatment.
Drawings
FIG. 1 is a fractal dimension (D) of sludge particles of the present inventionf) A Surface Site Density (SSD) and a process schematic for enzymatic reactions.
FIG. 2 is a fractal dimension (D) of sludge particles of the present inventionf) Graph relating net cumulative methane production per unit sludge organic matter (NCMP).
FIG. 3 is a graphical representation of the correlation of the Surface Site Density (SSD) of sludge granules of the present invention with the methane production rate constant (k) of sludge organic anaerobic organisms.
Detailed Description
The invention provides a method for rapidly evaluating methane production by excess sludge anaerobic bioconversion.
The method for rapidly evaluating the methane production by the anaerobic biotransformation of the excess sludge comprises the following steps:
(1) based on the self-similarity of the basic morphology of the sludge structure, the fractal theory is applied, the scattering angle q and the scattering light intensity I are obtained through a laser particle size analyzer, and the Rayleigh scattering formula is adopted
Figure GDA0003065646850000043
Calculating to obtain the fractal dimension (D) of the sludge particlesf)。
(2) Based on the acidity and electrostatic properties of the sludge surface, the total surface site concentration MP is obtained by combining monobasic weak acid dissociation equilibrium and based on an acid-base equilibrium titration method through formulas (1) to (4)TAnd calculating the surface total site concentration of the unit sludge Total Solids (TS) or Volatile Solids (VS) through formulas (5) and (6) to obtain the Surface Site Density (SSD) of the sludge particles.
Wherein the formulas (1) to (6) are as follows:
ΔVSP＝ΔVOverall-ΔVDOM-ΔVCarbonate (1)
in the formula (I), the compound is shown in the specification,
ΔVOverallmL for the total volume of acid/base consumed by titration;
ΔVDOMacid/base volume consumed for DOM, mL;
ΔVCarbonatecarbonate consumed acid/base volume, mL;
Figure GDA0003065646850000041
Figure GDA0003065646850000042
Figure GDA0003065646850000051
in the formula (I), the compound is shown in the specification,
[H+]proton concentration at the time of titration, M;
[H+]0blank (before titration) proton concentration, M;
CAfor the total concentration of type A sites in the DOM, 10 can be used-5Conversion of mol/mg COD, M;
KaAacid constant, pK, for the A site in DOMaA＝5.3；
CTAs carbonate concentration, calculated as inorganic carbon IC concentration, M;
Ka1is the carbonate first acid constant, pKa1＝6.32。
Figure GDA0003065646850000052
Figure GDA0003065646850000053
In the formula (I), the compound is shown in the specification,
V0is the sludge sample volume, mL;
TS is the total solid content in the sludge sample, g/L;
VS is the total volatile solid content in the sludge sample, g/L.
(3) Fractal dimension (D) of integrated sludge granulesf) And Surface Site Density (SSD), obtaining a characteristic equation Y ═ SSD/D characterizing anaerobic digestion efficiency of the sludgef。
Wherein, in the step (1), the fractal dimension (D) of the sludge particlesf) Has positive correlation with the dissolution Apparent Activation Energy (AAE) which is an important index for representing the dissolution capability of the organic matters in the sludge, and shows that the more compact the sludge structure is (D)fThe larger the value), the worse the elution ability of organic matter in the sludge (the higher the AAE value).
In step (1), as shown in FIG. 2, the fractal dimension (D) of sludge particlesf) Negative correlation with the net cumulative methane production per unit (NCMP) characterizing the methanogenic nature of anaerobic bioconversion of sludge indicates that the sludge is more compact (D)fIncreased value), the poorer the methane production performance of anaerobic bioconversion of organic matter in the sludge (decreased NCMP value).
In the step (2), the Surface Site Density (SSD) of the sludge granules has a negative correlation with the apparent digestion activation energy (AAE) which is an important index for representing the digestion capability of the organic matters in the sludge, and the more the number of binding sites between the surfaces of the sludge granules and enzyme molecules is (the SSD value is increased), the stronger the digestion capability of the organic matters in the sludge is (the AAE value is reduced).
In step (2), as shown in fig. 3, the Surface Site Density (SSD) of the sludge particle has a positive correlation with the methanogenic rate constant (k) characterizing the anaerobic bioconversion methanogenic property of the sludge, indicating that the more the number of binding sites of the sludge particle surface to the enzyme molecule is (the SSD value is increased), the faster the anaerobic bioconversion methanogenic rate of organic matter in the sludge is (the k value is increased).
In step (3), the fractal dimension (D) of the sludge particlesf) There is a negative correlation with the Surface Site Density (SSD) of the resulting sludge granules, indicating that the more compact the sludge structure (D)fIncreased value), the fewer the number of sites on the surface of the sludge particles that can bind protons (decreased SSD value).
The present invention will be further described with reference to the following examples.
Example 1:
3 sludge samples (A-1, A-2, A-3) are taken from the sewage treatment plant A, and D is respectively determined for the 3 sludge samplesfAnd SSD, denoted D respectivelyf-1，Df-2，Df-3 and SSD-1, SSD-2, SSD-3. As a result, it was found thatf-2(2.18)>Df-1(2.05)>Df-3(2.00)，SSD-2(3.56mmol/g VS)<SSD-1(3.91mmol/g VS)<SSD-3(4.08mmol/g VS). According to the characteristic equation Y ═ SSD/DfJudging that the anaerobic bioconversion methane production efficiency of the A-2 sludge sample is the worst, the A-1 time is the lowest, and the A-3 anaerobic bioconversion methane production property is the best. In addition, a mesophilic BMP test experiment was performed for 30 days for 3 samples at a seeding ratio of 2:1, respectively, and at the same time, the daily methane production was collected. After the experiment is finished, fitting 30-day methanogenesis data by using a simulated first-order methanogenesis kinetic model equation to obtain k and NCMP which are respectively marked as k-1, k-2, k-3 and NCMP-1, NCMP-2 and NCMP-3. As a result, it was found that k-2(0.245/d)<k-1(0.250/d)<k-3(0.254/d)，NCMP-2(220mL CH4/g VS)<NCMP-1(231mL CH4/g VS)<NCMP-3(235mL CH4VS)/g), namely the anaerobic bioconversion methane production efficiency of the A-2 sludge sample is the worst, the A-1 times is the best, the A-3 anaerobic bioconversion methane production property is the best, and the result is consistent with the conclusion given by characteristic equation judgment, which shows that the characteristic equation can be determined according to the sludge propertyThe anaerobic bioconversion methane production capacity of the sludge is directly evaluated.
Example 2:
3 sludge samples (B-1, B-2, B-3) are taken from the sewage treatment plant B, and D is respectively determined for the 3 sludge samplesfAnd SSD, denoted D respectivelyf-1，Df-2，Df-3 and SSD-1, SSD-2, SSD-3. As a result, it was found thatf-3(2.24)>Df-1(1.90)>Df-2(1.65)，SSD-3(2.64mmol/g VS)<SSD-1(3.46mmol/g VS)<SSD-2(4.78mmol/g VS). According to the characteristic equation Y ═ SSD/DfJudging that the anaerobic bioconversion methane production efficiency of the B-3 sludge sample is the worst, the B-1 time is the lowest, and the B-2 anaerobic bioconversion methane production property is the best. In addition, a mesophilic BMP test experiment was performed for 30 days for 3 samples at a seeding ratio of 2:1, respectively, and at the same time, the daily methane production was collected. After the experiment is finished, fitting 30-day methanogenesis data by using a simulated first-order methanogenesis kinetic model equation to obtain k and NCMP which are respectively marked as k-1, k-2, k-3 and NCMP-1, NCMP-2 and NCMP-3. As a result, it was found that k-3(0.204/d)<k-1(0.240/d)<k-2(0.285/d)，NCMP-3(215mL CH4/g VS)<NCMP-1(240mL CH4/g VS)<NCMP-2(270mL CH4VS)/g), namely the anaerobic bioconversion methane production efficiency of the B-3 sludge sample is the worst, the B-1 time is the best, the B-2 anaerobic bioconversion methane production property is the best, and the result is consistent with the conclusion given by characteristic equation judgment, which shows that the characteristic equation can rapidly and directly evaluate the anaerobic bioconversion methane production capability of the sludge according to the sludge property.
Example 3:
3 sludge samples (C-1, C-2 and C-3) are taken from a sewage treatment plant C, and D is respectively measured on the 3 sludge samplesfAnd SSD, denoted D respectivelyf-1，Df-2，Df-3 and SSD-1, SSD-2, SSD-3. As a result, it was found thatf-1(2.61)>Df-2(2.36)>Df-3(1.96)，SSD-1(3.18mmol/g VS)<SSD-2(5.60mmol/g VS)<SSD-3(6.04mmol/g VS). According to the characteristic equation Y ═ SSD/DfJudging that the anaerobic bioconversion methane production efficiency of the C-1 sludge sample is the worst, the C-2 times is the lowest, and the C-3 anaerobic bioconversion methane production property is the best. In addition, 3 samples were testedMesophilic BMP test experiments were performed for 30 days at a seeding ratio of 2:1, respectively, while the daily methane production was collected. After the experiment is finished, fitting 30-day methanogenesis data by using a simulated first-order methanogenesis kinetic model equation to obtain k and NCMP which are respectively marked as k-1, k-2, k-3 and NCMP-1, NCMP-2 and NCMP-3. As a result, it was found that k-1(0.233/d)<k-2(0.303/d)<k-3(0.359/d)，NCMP-1(178mL CH4/g VS)<NCMP-2(208mL CH4/g VS)<NCMP-3(237mL CH4VS)/g), namely the anaerobic bioconversion methane production efficiency of the C-1 sludge sample is the worst, the C-2 times and the C-3 anaerobic bioconversion methane production property are the best, and the result is consistent with the conclusion given by characteristic equation judgment, which shows that the characteristic equation can rapidly and directly evaluate the anaerobic bioconversion methane production capability of the sludge according to the sludge property.
Example 4:
3 sludge samples (D-1, D-2, D-3) are taken from a D sewage treatment plant, and D is respectively measured on the 3 sludge samplesfAnd SSD, denoted D respectivelyf-1，Df-2，Df-3 and SSD-1, SSD-2, SSD-3. As a result, it was found thatf-2(2.54)>Df-1(1.85)>Df-3(1.70)，SSD-2(2.50mmol/g VS)<SSD-1(3.21mmol/g VS)<SSD-3(5.89mmol/g VS). According to the characteristic equation Y ═ SSD/DfJudging that the anaerobic bioconversion methane production efficiency of the D-2 sludge sample is the worst, the D-1 time is the lowest, and the D-3 anaerobic bioconversion methane production property is the best. In addition, a mesophilic BMP test experiment was performed for 30 days for 3 samples at a seeding ratio of 2:1, respectively, and at the same time, the daily methane production was collected. After the experiment is finished, fitting 30-day methanogenesis data by using a simulated first-order methanogenesis kinetic model equation to obtain k and NCMP which are respectively marked as k-1, k-2, k-3 and NCMP-1, NCMP-2 and NCMP-3. As a result, it was found that k-2(0.200/d)<k-1(0.228/d)<k-3(0.351/d)，NCMP-2(192mL CH4/g VS)<NCMP-1(256mL CH4/g VS)<NCMP-3(268mL CH4VS), namely the anaerobic biotransformation methane production efficiency of the D-2 sludge sample is the worst, the D-1 times is the best, the D-3 anaerobic biotransformation methane production property is the best, and the result is consistent with the conclusion given by characteristic equation judgment, which shows that the characteristic equation can rapidly and directly evaluate the anaerobic biotransformation of the sludge according to the sludge propertyCapacity of producing methane.
Example 5:
3 sludge samples (E-1, E-2, E-3) are taken from a sewage treatment plant E, and D is respectively determined for the 3 sludge samplesfAnd SSD, denoted D respectivelyf-1，Df-2，Df-3 and SSD-1, SSD-2, SSD-3. As a result, it was found thatf-2(1.80)>Df-1(1.60)>Df-3(1.50)，SSD-2(2.30mmol/g VS)<SSD-1(2.46mmol/g VS)<SSD-3(3.06mmol/g VS). According to the characteristic equation Y ═ SSD/DfJudging that the anaerobic bioconversion methane production efficiency of the E-2 sludge sample is the worst, the E-1 time is the lowest, and the E-3 anaerobic bioconversion methane production property is the best. In addition, a mesophilic BMP test experiment was performed for 30 days for 3 samples at a seeding ratio of 2:1, respectively, and at the same time, the daily methane production was collected. After the experiment is finished, fitting 30-day methanogenesis data by using a simulated first-order methanogenesis kinetic model equation to obtain k and NCMP which are respectively marked as k-1, k-2, k-3 and NCMP-1, NCMP-2 and NCMP-3. As a result, it was found that k-2(0.180/d)<k-1(0.198/d)<k-3(0.210/d)，NCMP-2(260mL CH4/g VS)<NCMP-1(273mL CH4/g VS)<NCMP-3(278mL CH4VS)/g), namely the anaerobic bioconversion methane production efficiency of the E-2 sludge sample is the worst, the E-1 anaerobic bioconversion methane production property is the best, and the result is consistent with the conclusion given by characteristic equation judgment, which shows that the characteristic equation can rapidly and directly evaluate the anaerobic bioconversion methane production capability of the sludge according to the sludge property.
Example 6:
3 sludge samples (F-1, F-2 and F-3) are taken from a sewage treatment plant F, and D is respectively determined for the 3 sludge samplesfAnd SSD, denoted D respectivelyf-1，Df-2，Df-3 and SSD-1, SSD-2, SSD-3. As a result, it was found thatf-2(1.77)>Df-1(1.58)>Df-3(1.35)，SSD-2(2.20mmol/g VS)<SSD-1(2.34mmol/g VS)<SSD-3(2.98mmol/g VS). According to the characteristic equation Y ═ SSD/DfJudging that the anaerobic bioconversion methane production efficiency of the F-2 sludge sample is the worst, the F-1 time is the lowest, and the F-3 anaerobic bioconversion methane production property is the best. In addition, the mesophilic BMP test was carried out for 30 days for 3 samples at a inoculation ratio of 2:1, respectivelyThe daily methane production was collected at the same time as the experiment. After the experiment is finished, fitting 30-day methanogenesis data by using a simulated first-order methanogenesis kinetic model equation to obtain k and NCMP which are respectively marked as k-1, k-2, k-3 and NCMP-1, NCMP-2 and NCMP-3. As a result, it was found that k-2(0.168/d)<k-1(0.187/d)<k-3(0.206/d)，NCMP-2(263mL CH4/g VS)<NCMP-1(275mL CH4/g VS)<NCMP-3(295mL CH4VS)/g), namely the F-2 sludge sample has the worst anaerobic bioconversion methane production efficiency, the F-1 sludge sample has the best anaerobic bioconversion methane production property, and the result is consistent with the conclusion given by characteristic equation judgment, which shows that the characteristic equation can rapidly and directly evaluate the anaerobic bioconversion methane production capability of the sludge according to the sludge property.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. It will be readily apparent to those skilled in the art that various modifications to these embodiments and the generic principles defined herein may be applied to other embodiments without the use of the inventive faculty. Therefore, the present invention is not limited to the above-described embodiments. Those skilled in the art should appreciate that many modifications and variations are possible in light of the above teaching without departing from the scope of the invention.

Claims (3)

1. A method for rapidly evaluating the methane production by the anaerobic biotransformation of excess sludge is characterized in that: which comprises the following steps:
(1) based on the self-similarity of the basic morphology of the sludge structure, obtaining a scattering angle and scattering light intensity by a laser particle size analyzer by using a fractal theory, and calculating the fractal dimension of sludge particles by using a Rayleigh scattering formula;
(2) based on the surface acidity and electrostatic properties of the sludge, combining with unitary weak acid dissociation equilibrium, obtaining the surface total locus concentration by an acid-base equilibrium titration method, and obtaining the surface locus density of sludge particles by calculating the surface total locus concentration of unit sludge solid;
(3) integrating the fractal dimension and the surface site density of the sludge particles to obtain a characteristic equation Y which represents the anaerobic digestion efficiency of the sludge, wherein the characteristic equation Y is the surface site density/the fractal dimension;
in the step (1), the fractal dimension of the sludge particles is in positive correlation with the dissolution apparent activation energy of the sludge, which shows that the more compact the sludge structure is, the poorer the dissolution capability of organic matters in the sludge is;
in the step (2), the density of the surface sites of the sludge particles is in negative correlation with the dissolution apparent activation energy, which shows that the more the number of the binding sites of the surfaces of the sludge particles and enzyme molecules is, the stronger the dissolution capacity of organic matters in the sludge is;
in the step (3), the fractal dimension of the sludge particles is in negative correlation with the surface site density of the sludge particles, which shows that the more compact the sludge structure is, the fewer the number of sites on the surface of the sludge particles capable of binding protons are.
2. The method of claim 1, wherein: in the step (1), the fractal dimension of the sludge particles is in negative correlation with the unit net accumulated methane yield, which shows that the more compact the sludge structure is, the worse the methane production performance of anaerobic bioconversion of organic matters in the sludge is.
3. The method of claim 1, wherein: in the step (2), the density of the surface sites of the sludge particles is in positive correlation with a methane production rate constant representing the anaerobic bioconversion methane production property of the sludge, which shows that the more the number of the binding sites of the surfaces of the sludge particles and enzyme molecules is, the higher the anaerobic bioconversion methane production rate of organic matters in the sludge is.
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