CN110980972A - Scale inhibition and dispersion agent and calculation method and application of universal limit concentration multiple of circulating cooling water of scale inhibition and dispersion agent - Google Patents

Scale inhibition and dispersion agent and calculation method and application of universal limit concentration multiple of circulating cooling water of scale inhibition and dispersion agent Download PDF

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CN110980972A
CN110980972A CN201911306437.7A CN201911306437A CN110980972A CN 110980972 A CN110980972 A CN 110980972A CN 201911306437 A CN201911306437 A CN 201911306437A CN 110980972 A CN110980972 A CN 110980972A
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water
scale
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dispersion agent
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CN110980972B (en
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牛犇
孙勇
汪永威
徐华伟
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Huazhong Electric Power Test Research Institute China of Datang Corp Science and Technology Research Institute Co Ltd
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    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F5/00Softening water; Preventing scale; Adding scale preventatives or scale removers to water, e.g. adding sequestering agents
    • C02F5/08Treatment of water with complexing chemicals or other solubilising agents for softening, scale prevention or scale removal, e.g. adding sequestering agents
    • C02F5/10Treatment of water with complexing chemicals or other solubilising agents for softening, scale prevention or scale removal, e.g. adding sequestering agents using organic substances
    • C02F5/14Treatment of water with complexing chemicals or other solubilising agents for softening, scale prevention or scale removal, e.g. adding sequestering agents using organic substances containing phosphorus
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F5/00Softening water; Preventing scale; Adding scale preventatives or scale removers to water, e.g. adding sequestering agents
    • C02F5/08Treatment of water with complexing chemicals or other solubilising agents for softening, scale prevention or scale removal, e.g. adding sequestering agents
    • C02F5/10Treatment of water with complexing chemicals or other solubilising agents for softening, scale prevention or scale removal, e.g. adding sequestering agents using organic substances
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F5/00Softening water; Preventing scale; Adding scale preventatives or scale removers to water, e.g. adding sequestering agents
    • C02F5/08Treatment of water with complexing chemicals or other solubilising agents for softening, scale prevention or scale removal, e.g. adding sequestering agents
    • C02F5/10Treatment of water with complexing chemicals or other solubilising agents for softening, scale prevention or scale removal, e.g. adding sequestering agents using organic substances
    • C02F5/12Treatment of water with complexing chemicals or other solubilising agents for softening, scale prevention or scale removal, e.g. adding sequestering agents using organic substances containing nitrogen

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Abstract

The invention provides a universal limit concentration multiple (K) of circulating cooling waterLim) The calculation method of (A) is suitable for the components of the scale inhibition and dispersion agent and K in the yellow river systemLimAnd Ca which influences the scale formation of the carbonate of the circulating water under the optimal components2+Concentration, alkalinity, pH, temperature, scale inhibitor dosage five main factors and KLimThe relational expression (c) of (c). Scale inhibiting dispersant component and KLimThe relation formula is used for confirming the optimal proportion of the components of the scale inhibition and dispersion agent. The scale inhibition and dispersion agent comprises an organic phosphine scale inhibitor, a homopolymer dispersion agent and a copolymer dispersion agent. The calculation method can replace the original complex test method, is simple and reliable, can reduce the waste of human resources to the maximum extent, saves the test cost and improves the working efficiency.

Description

Scale inhibition and dispersion agent and calculation method and application of universal limit concentration multiple of circulating cooling water of scale inhibition and dispersion agent
Technical Field
The invention relates to a method for calculating the limit concentration multiple of circulating cooling water, belonging to the field of circulating cooling water treatment processes.
Background
The concentration multiple of the circulating water reflects the concentration degree of the circulating water caused by evaporation, and the circulating water Cl is generally used-The concentration times are expressed. Limit concentration multiple (K) of circulating cooling waterLim) Is an important parameter for controlling the quality of circulating cooling water, and a calculation formula is not available so far. At present, the circulating water Cl under a certain specific condition is generally determined by experiments-Concentration factor difference (Delta A) between concentration factor and alkalinity or circulating water Cl-Concentration factor and Ca2+Difference in concentration factor (Δ B), when Δ a is 0.2 or Δ B is 0.2, circulating water Cl is present-The concentration factor is the limit concentration factor (K) under the specific conditionLim). Circulating water Cl-The concentration multiple difference (delta A) of the concentration multiple and the alkalinity is expressed as
Figure BDA0002323250720000011
In the formula c (Cl)-X) represents Cl of the circulating water-Concentration, mmol/L; c (Cl)-Bu) represents Cl of make-up water-Concentration, mmol/L; c (JD, X) represents the alkalinity of the circulating water, mmol/L; c (JD, Bu) represents the alkalinity of the make-up water, mmol/L. Circulating water Cl-Concentration factor and Ca2+The concentration factor difference (Delta B) is expressed as
Figure BDA0002323250720000012
Wherein c (Cl < - >, X) represents the Cl < - > concentration of the circulating water, mmol/L; c (Cl-, Bu) represents Cl of make-up water-Concentration, mmol/L; c (Ca)2+X) Ca of circulating water2+Concentration, mmol/L; c (Ca)2+Bu) denotes Ca of makeup water2+Concentration, mmol/L.
The water area of China is wide, the water quality difference is very obvious, for example, the water quality difference of the yellow river system at the upstream, the middle and the downstream and each branch is obvious, therefore, the concentration multiple K under specific conditions can not be directly adopted by users under other conditionsLimThe concentration factor K must be tested againLim. If the general concentration multiple formula K of various water qualities of the water system can be establishedLimThis problem can be solved completely.
Disclosure of Invention
The purpose of the invention is: providing a scale inhibition and dispersion agent which is combined by an organic phosphine scale inhibitor, a homopolymer dispersion agent and a copolymer dispersion agent;
also provides a method for calculating the universal limit concentration multiple K of the circulating cooling water by using the scale inhibition and dispersion agentLimThe calculation method can reduce the waste of human resources to the maximum extent, save the test cost and improve the working efficiency.
The technical scheme of the invention is as follows:
the scale inhibiting dispersant consists of organic phosphine scale inhibitor A30-65 wt%, homopolymer dispersant B25-45 wt% and copolymer dispersant C10-25 wt%.
The organic phosphine scale inhibitor A is preferably 1-carboxyethylidene-1, 1 diphosphonic acid (HEDP), the homopolymer dispersant B is preferably polyacrylic acid (PAA), and the copolymer dispersant C is preferably acrylic acid-2-acrylamide-2-methylpropanesulfonic acid copolymer (AA/AMPS).
A method for calculating the universal limit concentration multiple of circulating cooling water by using the scale inhibition and dispersion agent has the following calculation formula:
Figure BDA0002323250720000021
in the formula x1、x2Respectively the weight percentage of the scale inhibition and dispersion agent A, B.
In the formula, when KLimThe maximum scale inhibiting dispersant comprises the following components: 61.2 percent of organic phosphine scale inhibitor A, 25.1 percent of homopolymer dispersant B and 13.7 percent of copolymer dispersant C.
The invention also relates to application of the method in a yellow river water system circulating water system.
The universal limiting concentration multiple K of the inventionLimThe formula comprises the components of the scale inhibition and dispersion agent and K which are suitable for the yellow river systemLimAnd Ca which influences the scale formation of the carbonate of the circulating water under the optimal components2+Concentration, alkalinity, pH, temperature, scale inhibitionFive main factors of dosage and KLimThe relational expression (c) of (c).
Scale inhibiting dispersant component and KLimThe relation formula is used for confirming the optimal proportion of the components of the scale inhibition and dispersion agent. The scale inhibition and dispersion agent comprises an organic phosphine scale inhibitor (marked as a monomer A, the content of which is 30-65% according to experience), a homopolymer dispersion agent (marked as a monomer B, the content of which is 25-45% according to experience), and a copolymer dispersion agent (marked as a monomer C, the content of which is 10-25% according to experience), wherein the total content of A, B, C is 100%.
The organic phosphine scale inhibitor is preferably 1-carboxyethylidene-1, 1 diphosphonic acid (HEDP), the homopolymer dispersant is preferably polyacrylic acid (PAA), and the copolymer dispersant is preferably acrylic acid-2-acrylamide-2-methylpropanesulfonic acid copolymer (AA/AMPS).
Scale inhibiting dispersant component and KLimIs calculated according to the following formula:
Figure BDA0002323250720000022
in the formula x1Is the content of the monomer A; x is the number of2Is the content of the monomer B.
Is prepared from the components of dirt-proof disperser and KLimSolving for K under constraint conditionsLimThe maximum scale inhibiting dispersant formula is as follows: the monomer A content is 61.2%; the content of the monomer B is 25.1 percent; the monomer C content was 13.7%.
Ca capable of influencing scale formation of circulating water carbonate under optimal composition2+Concentration, alkalinity, pH, temperature, scale inhibitor dosage five main factors and limit concentration multiple (K)Lim) In the relation of (1), 1/2Ca2+The concentration should be in the range of 2.0-4.5 mmol/L, the alkalinity should be in the range of 1.5-5.0 mmol/L, the pH should be in the range of 7.65-8.45, the temperature should be in the range of 35-50 ℃, and the scale inhibitor dosage (the sum of A, B, C dosages) should be in the range of 2-10 mg/L.
Ca capable of influencing scale formation of circulating water carbonate under optimal composition2+Concentration, alkalinity, pH, temperature, scale inhibitor dosage five main factors and limit concentration multiple (K)Lim) According to the following relationshipCalculating by the formula:
Figure BDA0002323250720000031
in the formula, x1Is 1/2Ca2+Concentration, mmol/L; x is the number of2Is alkalinity, mmol/L; x is the number of3Is pH; t is temperature, DEG C; d is the scale inhibitor dosage, mg/L.
The invention has the following characteristics:
(1) the invention provides a scale inhibition and dispersion agent which is formed by combining an organic phosphine scale inhibitor, a homopolymer dispersion agent and a copolymer dispersion agent, and also provides a method for calculating the universal limiting concentration multiple K of circulating cooling water by using the scale inhibition and dispersion agentLimIn the formula, the formula replaces the test with the calculation to determine KLimThe waste of human resources can be reduced to the maximum extent, the test cost is saved, and the working efficiency is improved.
(2) Ultimate concentration multiple K of the inventionLimThe calculation formula is suitable for a circulating water system with the water supplement of a yellow river system, and the scale of the circulating water system is mainly carbonate scale. Scale inhibiting dispersant component and KLimIs mainly used for solving K under constraint conditionsLimMaximum formula, namely optimal formula, but scale inhibiting dispersant component and KLimThe numerical relationship of (a) is only for make-up water having the same or close arithmetic mean of the concentrations of the major ions of the main stream of the yellow river.
(3) Ca for influencing scale formation of circulating water carbonate under optimal components2+Concentration, alkalinity, pH, temperature, scale inhibitor dosage five main factors and KLimThe use of the relational expression of (A) needs to meet the requirement that the components of the scale inhibition and dispersion agent are in an optimal formula.
(4) Ultimate concentration multiple K of the inventionLimThe calculation formula is suitable for the condition that the quality of the make-up water is stable. Experiments show that K of the inventionLimThe calculated value of the formula has smaller comparison error (within 4%) with the original actual test value, has better actual application effect and has good popularization and application values.
Drawings
FIG. 1 circulating Water Cl-The concentration multiple difference delta A of the concentration multiple and the alkalinity is a relation curve with the concentration multiple K.
Detailed Description
Example 1: determination of limiting concentration multiple by existing test method
Because the water area of China is wide, the water quality difference is very obvious, for example, the water quality difference of the yellow river system at the upstream, the middle and the downstream and each branch is obvious. Therefore, the difference of the water quality of the supplemented water of the recirculated cooling water of the power generation enterprises with the recirculated cooling water system is obvious, and if the ultimate concentration multiple (K) of the recirculated cooling water system control is obtainedLim) Can only be obtained through experiments, and generally the experiments determine the circulating water Cl under a certain condition-Concentration factor difference (Δ A) between concentration factor and alkalinity, or circulating water Cl-Concentration factor and Ca2+Difference in concentration factor (Δ B), when Δ a is 0.2 or Δ B is 0.2, circulating water Cl is present-The concentration factor is the limit concentration factor (K) under the specific conditionLim)。
The test principle is that the circulating cooling water is continuously concentrated in the circulating process, and if no precipitate is separated out in the water, the total alkalinity of the circulating cooling water and the total alkalinity of the make-up water should be in a linear relation.
Figure BDA0002323250720000041
However, as the concentration factor increases, CO2And (3) overflowing continuously, the carbonate balance of the solution is destroyed, calcium carbonate in water is precipitated, and the concentration multiple and the alkalinity concentration multiple of the circulating cooling water are different. The Δ a value is defined as the difference between the concentration factor (K) of the cooling water and the alkalinity concentration factor.
Circulating water Cl-The concentration multiple difference (delta A) of the concentration multiple and the alkalinity is expressed as
Figure BDA0002323250720000042
In the formula, c (Cl)-X) represents Cl of the circulating water-Concentration, mmol/L; c (Cl)-Bu) represents Cl of make-up water-Concentration, mmol/L; c (JD, X) represents the alkalinity of the circulating water, mmol/L; c (JD, Bu) represents the alkalinity of the make-up water, mmol/L.
Circulating water Cl-Concentration factor and Ca2+The concentration factor difference (Delta B) is expressed as
Figure BDA0002323250720000043
In the formula c (Cl)-X) represents Cl of the circulating water-Concentration, mmol/L; c (Cl)-Bu) represents Cl of make-up water-Concentration, mmol/L; c (Ca)2+X) Ca of circulating water2+Concentration, mmol/L; c (Ca)2+Bu) denotes Ca of makeup water2+Concentration, mmol/L.
For example, the running temperature of circulating cooling water of a certain scale inhibiting and dispersing agent applied to a circulating cooling water system is 40 ℃, the water quality index of make-up water is shown in table 1, and the dosage of the scale inhibiting and dispersing agent is 6 mg/L. If the limit concentration multiple (K) of the control of the circulating cooling water system is desiredLim) The relationship of Δ A to K can only be obtained by experiment as shown in Table 2. The test method adopts HG/T4541 and 2013 limit carbonate method for determining scale inhibition performance of water treatment agent.
TABLE 1 Water quality index of make-up water
Quality of make-up water 1/2Ca2+ 1/2Mg2+ Alkalinity of Cl- pH
Concentration/mmol. multidot.L-1 3.211 2.732 3.098 2.455 8.16
TABLE 2 relationship of. DELTA.A to K
Figure BDA0002323250720000044
Then, according to the data in table 1, a scatter diagram is drawn by a mathematical software Excel and a relation curve between delta A and K is fitted, as shown in fig. 1.
Solving the fitting curve y is 0.0215x20.0946x +0.2091, when y is 0.2, x is 4.302 or 0.098, finally, the trend of the relation curve between delta A and K is observed, and K under the condition is determinedLimIs 4.30.
Example 2: determination of scale inhibition and dispersion agent components of circulating cooling water system and universal concentration multiple KLimEstablishment of the formula to save test costs, the present application proposes a universal concentration factor KLimFormula (iv) instead of the test method of example 1 above, a calculation method was used.
1. The invention principle is as follows:
based on the test data, a mathematical statistical analysis method is adopted to establish KLimI.e.:
KLim=f(x,y,t) (3)
in the formula KLimThe concentration is the limit concentration multiple of the non-scaling carbonate; x is a water quality variable, and y is a scale inhibition and dispersion agent variable; t is the water temperature variable.
The water quality variable x comprises a primary water quality parameter and a secondary water quality parameter that affect carbonate scaling, i.e. x1、……xnThe main water quality index is Ca2+Alkalinity, pH, secondary water quality index Mg2+、SiO2、CODMn、SO4 2-And the like.
The dispersant scale inhibition variable y comprises: an organic phosphine-based scale inhibitor component, a homopolymer dispersant component, a copolymer dispersant component, a dosage, a synergistic factor and the like, namely y1、……ym
Typical products in the organic phosphine scale inhibitor are as follows: aminotrimethylene phosphonic Acid (ATMP), ethylenediamine tetramethylene phosphonic acid (EDTMP), 1-carboxyethylene-1, 1 diphosphonic acid (HEDP), etc., with HEDP being preferred for overall economy and scale inhibition.
Typical products among homopolymer dispersants are: polyacrylic acid (PAA), polymaleic anhydride (HPMA), polyepoxysuccinic acid (PESA), Polyaspartic Acid (PASP), etc., PAA being preferred for comprehensive economic and scale-inhibiting effects.
Typical products among the copolymer dispersants are: maleic acid-acrylic acid copolymer (MA/AA), acrylic acid-2-acrylamide-2-methylpropanesulfonic acid copolymer (AA/AMPS) and the like, and the AA/AMPS is preferred for comprehensive economy and scale inhibition effect.
The synergistic factor refers to the increase degree of scale inhibition rate after different components are compounded, and the scale inhibition dispersing agent is usually the compound of an organic phosphine scale inhibitor, a homopolymer dispersing agent and a copolymer dispersing agent.
According to experience, the content of the organic phosphine scale inhibitor (marked as monomer A) is 30-65%; the content of the homopolymer dispersant (marked as monomer B) is 25 to 45 percent; the content of copolymer dispersant (marked as monomer C) should be 10% -25%; the sum of the weight percentages of the monomer A, the monomer B and the monomer C is 100 percent.
The components of the scale inhibiting dispersant in y, namely the content of the monomer A, the monomer B and the monomer C, to KLimThe influence of the scale inhibition and dispersion agent is large, large interaction (a synergistic factor in y) exists between every two scale inhibition and dispersion agents, and the components of the scale inhibition and dispersion agent used in the circulating cooling water system cannot be easily changed once being determined according to the actual production situation, so that the components need to be determined firstly. The collection and arrangement of the water quality index data of the yellow river system are shown in the table 3.
TABLE 3 main ion concentrations of main and branch streams of the yellow river
Figure BDA0002323250720000061
Table 3 all values are arithmetic means of 1958-; the tributary data is represented by the most downstream site of the tributary. The data source is a thermal power plant supplementary water laboratory report or a local hydrological monitoring station which takes yellow river water as supplementary water.
2. Design scheme for determining mixing uniformity with constraint conditions
The mixing material uniform design scheme with constraint conditions passes through a uniform test table Un(qs) Or
Figure BDA0002323250720000062
It follows that where "U" indicates a uniform design, "n" indicates that n trials are to be performed, "q" indicates that there are q levels per factor, "s" indicates that the table has s columns, and the upper right corner plus and minus "represent two different types of uniform design tables. According to the allowance of test conditions and the requirement of precision, a uniform test table is searched
Figure BDA0002323250720000063
With respect to the two factors, the method has the advantages that,
Figure BDA0002323250720000064
recommending and selecting a uniform test table
Figure BDA0002323250720000065
First and fifth columns of
Figure BDA0002323250720000066
See table 4, deviation D is 0.0677, D indicates the deviation of the scribing uniformity, and the smaller the deviation value, the better the uniformity is, expressed by
Figure BDA0002323250720000067
It is given.
TABLE 4
Figure BDA0002323250720000071
Test table
No. 1 2
1 1 9
2 2 18
3 3 4
4 4 13
5 5 22
6 6 8
7 7 17
8 8 3
9 9 12
10 10 21
11 11 7
12 12 16
13 13 2
14 14 11
15 15 20
16 16 6
17 17 15
18 18 1
19 19 10
20 20 19
21 21 5
22 22 14
The first column in Table 4 is the test point number, designated as { qkiNote up
Figure BDA0002323250720000072
The value of k is 1-22, the value of i is 1-2, for example, the 10 th row and 1 st column are marked as q101The elements in row 8 and column 2 are denoted as q82Let us order
Figure BDA0002323250720000073
Find out ck1And ck2Then { (c)k1,ck2) Is a set of [0,1 ]]2And dispersing the uniform point set.
Order to
Figure BDA0002323250720000074
In the formula Ak、Bk、CkThe contents of the monomer A, the monomer B and the monomer C in the scale inhibition and dispersion agent in the kth test are respectively.
{(ck1,ck2) The constraint should be satisfied, i.e.
Figure BDA0002323250720000075
Namely, it is
Figure BDA0002323250720000081
The area E determined by equation (7) falls within the rectangle R ═ 0.1225, 0.49 × [2/11, 0.5], so that if a uniform design is given within the rectangle R, the point falling on E can be considered a uniform design on E.
Converting the transformed point { (c)k1,ck2) Is transformed into a rectangle R by linear transformation
Figure BDA0002323250720000082
{(c′k1,c′k2) Points in the rectangle R, points falling within the area E are marked
Figure BDA0002323250720000083
With a "+" sign at the test point and the absence of a "+" sign outside E, e.g. of test point 1 in Table 4 (c)k1,ck2) Is (1/44, 17/44) and corresponding (c'k1,c′k2) In zone E, test points 1 are numbered with a "", (0.1309, 0.3048), (0.1309, 0.3048) to yield a constrained recipe table, see table 5.
TABLE 5 formulation design Table with constraints
No. qk1 qk2 ck1 ck2 c′k1 c′k2
1* 1 9 1/44 17/44 0.1309 0.3048
2 2 18 3/44 35/44 0.1476 0.4349
3 3 4 5/44 7/44 0.1643 0.2324
4* 4 13 7/44 25/44 0.1810 0.3626
5 5 22 9/44 43/44 0.1977 0.4928
6* 6 8 1/4 15/44 0.2144 0.2903
7* 7 17 13/44 3/4 0.2311 0.4205
8* 8 3 15/44 5/44 0.2478 0.2180
9* 9 12 17/44 23/44 0.2645 0.3481
10 10 21 19/44 41/44 0.2812 0.4783
11* 11 7 21/44 13/44 0.2979 0.2758
12* 12 16 23/44 31/44 0.3146 0.4060
13 13 2 25/44 3/44 0.3313 0.2035
14* 14 11 27/44 21/44 0.3480 0.3337
15 15 20 29/44 39/44 0.3647 0.4638
16 16 6 31/44 11/44 0.3814 0.2614
17* 17 15 3/4 29/44 0.3981 0.3915
18 18 1 35/44 1/44 0.4148 0.1890
19* 19 10 37/44 19/44 0.4315 0.3192
20 20 19 39/44 37/44 0.4482 0.4494
21 21 5 41/44 9/44 0.4649 0.2469
22 22 14 43/44 27/44 0.4816 0.3771
As can be seen from table 3, the points numbered 1, 4, 6, 7, 8, 9, 11, 12, 14, 17, 19 fall within E. From these points, 11 test points falling within the area defined by the area E determined by the formula (7) were obtained by the transformation of the formula (5), and they are listed in Table 6, see Table 6.
TABLE 6 test protocol
No. Content of monomer A Content of monomer B Content of monomer C
1 63.8% 25.1% 11.0%
2 57.5% 27.1% 15.4%
3 53.7% 32.9% 13.4%
4 51.9% 27.9% 20.2%
5 50.2% 38.9% 10.9%
6 48.6% 33.5% 17.9%
7 45.4% 39.5% 15.1%
8 43.9% 33.3% 22.8%
9 41.0% 39.3% 19.7%
10 36.9% 38.4% 24.7%
11 34.3% 44.7% 21.0%
Test water was prepared according to the arithmetic mean of the concentrations of the major ions in the yellow river dry stream in Table 3, and the water quality index of the test water is shown in Table 7.
TABLE 7 Uniform mixing design test Water quality index with constraint conditions
Quality of make-up water 1/2Ca2+ 1/2Mg2+ Alkalinity of Cl- pH
Concentration/mmol. multidot.L-1 2.585 1.983 3.337 1.833 8.12
The test method for uniformly designing the mixed material with the constraint condition adopts HG/T4541 plus 2013 'limit carbonate method for determining scale inhibition performance of water treatment agent', and according to actual operating conditions and empirical summary of a circulating cooling water system of a thermal power plant, the test method for uniformly designing the mixed material with the constraint condition is that the temperature of test water is 40 ℃, and the total dose (A, B, C dose sum) of a scale inhibition dispersant is 6 mg/L.
K was determined for the test points in Table 6 using the conventional test method of example 1LimThe test results are shown in Table 8.
TABLE 8 evaporation test results of mixed material homogeneous design test with constraint conditions
No. Content of monomer A Content of monomer B Content of monomer C KLim
1 63.8% 25.1% 11.0% 4.892
2 57.5% 27.1% 15.4% 4.881
3 53.7% 32.9% 13.4% 4.971
4 51.9% 27.9% 20.2% 3.952
5 50.2% 38.9% 10.9% 4.741
6 48.6% 33.5% 17.9% 4.816
7 45.4% 39.5% 15.1% 5.227
8 43.9% 33.3% 22.8% 4.443
9 41.0% 39.3% 19.7% 4.953
10 36.9% 38.4% 24.7% 4.467
11 34.3% 44.7% 21.0% 3.516
3. Equation KLimEstablishment of (2)
According to empirical summary, the following model was constructed:
Figure BDA0002323250720000101
wherein α and β are undetermined coefficients, x1Is the content of the monomer A; x is the number of2Is the content of B; y is the limit concentration multiple KLim
Selecting a backward selection method through mathematical statistics calculation software, wherein the basic idea of the backward selection method is as follows: starting with all variables added to the regression equation at once, then rejecting variables in order that do not contribute significantly to the regression equation. A candidate variable is rejected if the partial correlation coefficient with the dependent variable is minimal and its F value is less than the "rejection criterion". The argument of the next culled model is the candidate variable whose bias correlation coefficient is the smallest among the remaining arguments and whose F value is smaller than the "culling criterion". This iterative process continues until no more alternative arguments meet the "culling criteria". Once a variable is removed from the model, it cannot re-enter the model in the next step.
Significance level α was taken as 0.1, Fin=0.05,FoutRegression analysis was performed at 0.1, with the following regression equation:
Figure BDA0002323250720000102
the regression equation coefficients, the model summary and the regression equation significance test are all given by mathematical statistics calculation software and are used for reflecting the fitting effect of the regression equation and whether the fitting effect has statistical significance or not, and the results are shown in tables 9, 10 and 11 respectively.
TABLE 9 regression equation coefficients for regression equation (10)
Figure BDA0002323250720000103
TABLE 10 regression equation (10) model summary
Model (model) R R2 Error of standard estimation
1 0.949 0.900 0.22473
TABLE 11 regression equation (10) regression equation significance test
Model (model) Sum of squares df Mean square F sig
Regression 2.265 5 0.454 8.869 0.015
Residual error 0.253 5 0.051 \ \
Total of 2.517 10 \ \ \
The verification test, test method and conditions of the regression equation (10) adopt HG/T4541-2013 limit carbonate method for determining scale inhibition performance of water treatment agent. The contents of the monomer A, the monomer B and the monomer C are randomly given, the sum is 1, namely 100%, but the contents of the monomer A, the monomer B and the monomer C are all within the constraint conditions, namely 30-65% of the monomer A, 25-45% of the monomer B and 10-25% of the monomer C, which is shown in Table 12.
TABLE 12 table of contents of monomer A, monomer B and monomer C in the verification test
Serial number Content of monomer A Content of monomer B Content of monomer C
1 0.567 0.312 0.121
2 0.504 0.298 0.198
3 0.486 0.321 0.193
4 0.356 0.409 0.235
5 0.379 0.425 0.196
6 0.404 0.423 0.173
K was determined for the test points in Table 12 using the conventional test method of example 1LimThe test results are shown in Table 13.
Table 13 verification test KLimComparison table of calculated values and test values obtained from regression equation (10)
Serial number A B C Test value Calculated value Relative error%
1 0.567 0.312 0.121 4.706 4.803 2.1
2 0.504 0.298 0.198 4.235 4.378 3.4
3 0.486 0.321 0.193 4.910 4.790 -2.4
4 0.356 0.409 0.235 4.520 4.403 -2.6
5 0.379 0.425 0.196 4.353 4.382 0.7
6 0.404 0.423 0.173 4.462 4.430 -0.7
As can be seen from Table 13, KLimThe calculated value calculated by the regression equation (10) is closer to the experimental value, the error is smaller and reaches within 4 percent, and the fact that the regression equation (10) is used for calculating K is explainedLimGeneral applicability (the water quality index of the make-up water is the arithmetic mean of the main ion concentrations of the main yellow river dry flow) of KLimAt the maximum, the optimum contents of the monomer A, the monomer B and the monomer C provide theoretical basis.
The maximum value of the regression equation (10) under the conditions that the content of the monomer A is 30-65%, the content of the monomer B is 25-45% and the content of the monomer C is 10-25% is calculated through mathematical calculation software.
The regression equation (10) obtains the maximum monomer A content of 61.2%, the maximum monomer B content of 25.1% and the maximum monomer C content of 13.7% under the constraint condition, so the optimal mixture ratio is as follows: the content of the monomer A is 61.2 percent, the content of the monomer B is 25.1 percent, and the content of the monomer C is 13.7 percent.
Substituting the monomer A content of 61.2%, the monomer B content of 25.1%, and the monomer C content of 13.7% into the regression equation (10) to obtain KLimCalculated value of 5.162.
The optimal proportion verification test, test method and conditions adopt HG/T4541-2013 'limit carbonate method for determining scale inhibition performance of water treatment agent'. Wherein the content of the monomer A is 61.2 percent, the content of the monomer B is 25.1 percent, and the content of the monomer C is 13.7 percent.
K at the optimum ratio was determined by the conventional test method of example 1Lim,KLimThe test value of (2) was 5.235, and the error relative to the calculated value was-1.4%.
4. Selection of a water quality-determining variable x and corresponding KLimEstablishment of equations
According to the empirical water quality variable x, the secondary water quality indicator is Mg2+、SiO2、CODMn、SO4 2-Etc. with Ca as the main water quality indicator2+Compared with alkalinity and pH, the influence is smaller, so that the main factor influencing the scale formation of the carbonate of the circulating water under the optimal component is KLimIs discarded in the derivation process of the relational expression (c).
From Table 1, 1/2Ca is known from the main ions of the main and branch streams of the yellow river2+The concentration mostly ranges from 2.0 to 4.5mmol/L, the alkalinity mostly ranges from 1.5 to 5.0mmol/L, and the pH mostly ranges from 7.65 to 8.45. 1/2Ca2+The value range of the concentration is as follows: 2.0-4.5 mmol/L, alkalinity value range: 1.5-5.0 mmol/L, pH value range: 7.65-8.45.
Determining the value range of the scale inhibitor dosage in the variable y of the scale inhibiting and dispersing agent: according to experience, the value range of the scale inhibitor dosage (the sum of A, B, C dosages) is 2-10 mg/L.
Determining the value range of t: according to the actual running water temperature condition and experience of the circulating cooling water, the value range of t is 35-50 ℃.
Determining Ca influencing the scale formation of the circulating water carbonate under the condition of establishing an optimal ratio (namely 61.2 percent of monomer A, 25.1 percent of monomer B and 13.7 percent of monomer C)2+Concentration, alkalinity, pH, temperature, scale inhibitor dosage five main factors and KLimThe required uniformity protocol for the relationship (a).
According to the allowance of test conditions and the requirement of precision, simultaneously considering different factors to KLimThe influence degree of the scale inhibition and dispersion agent is that 6 levels are selected as a water quality variable x, 4 levels are selected as a water temperature variable t, and 3 levels are selected as a scale inhibition and dispersion agent variable y. Find and use the mixing level uniformity test table U12(61×41×31) See table 14.
Watch 14U12(61×41×31)
Figure BDA0002323250720000121
According to the variable x Ca in water quality2+And the alkalinity and the pH value range are required, 6 supplementary water quality parameters of the thermal power plant taking the yellow river water source as supplementary water are selected as 6 levels of the water quality variable x, and the water quality parameters of the test water are shown in a table 15.
Table 15 test water quality parameters for mixed level uniformity test protocol
Figure BDA0002323250720000131
According to the value range requirement of the water temperature variable t, 4 levels of the water temperature variable t are 35 ℃, 40 ℃, 45 ℃ and 50 ℃.
According to the requirement of the scale inhibitor dosage value range in the scale inhibiting and dispersing agent variable y, 3 levels of the scale inhibitor dosage (the sum of A, B, C dosages) are 2mg/L, 6mg/L and 10 mg/L.
The water quality variable x, the antisludging dispersant variable y, the water temperature variable t and K are established by the level values selected by the table 14 and the water quality variable x, the antisludging dispersant variable y and the water temperature variable tLimSee table 16 for a table of uniformity tests required for the relationships of (a).
TABLE 16 Water quality variable x, Scale inhibition and Dispersion variable y, Water temperature variables t and KLimThe uniformity test table of (1).
Figure BDA0002323250720000132
Establishing a water quality variable x, a scale inhibition and dispersion agent variable y, and water temperature variables t and KLimThe test method of the evaporation concentration test required by the relational expression adopts HG/T4541-2013 'limit carbonate method for measuring scale inhibition performance of water treatment agent', the water quality index of the test water is given by table 15, the water temperature of the test water is given by table 16, and the total dosage (sum of A, B, C dosages) of the scale inhibition and dispersion agent is given by table 16.
K was determined for the test points in Table 16 using the conventional test method of example 1LimThe test results are shown in Table 17.
TABLE 17 Water quality variable x, Scale inhibition and Dispersion variable y, Water temperature variables t and KLimTest results of evaporative concentration of
Figure BDA0002323250720000141
The experimental results of the evaporative concentration test were processed, and the following model was constructed based on the past experience:
Figure BDA0002323250720000142
wherein α and β are undetermined coefficients, x1Is 1/2Ca2+Concentration, mmol/L; x is the number of2Is alkalinity, mmol/L; x is the number of3Is pH; t is temperature, DEG C; d is the scale inhibitor amount, mg/L; y is the limit concentration multiple KLim
Selecting backward selection method by mathematical statistics calculation software, wherein the significance level α is 0.1, Fin=0.05,FoutRegression analysis was performed at 0.1, with the following regression equation:
Figure BDA0002323250720000143
the regression equation coefficients, the model summary and the regression equation significance test are all given by mathematical statistics calculation software, and are used for reflecting the fitting effect of the regression equation and whether the fitting effect has statistical significance or not, and are respectively shown in a table 18, a table 19 and a table 20.
Regression equation coefficients for regression equation (12) of Table 18
Figure BDA0002323250720000144
TABLE 19 regression equation (12) model summary
Model (model) R R2 Error of standard estimation
1 0.949 0.900 0.22473
TABLE 20 regression equation (12) regression equation significance test
Model (model) Sum of squares df Mean square F sig
Regression 3.337 5 0.667 16.871 0.002
Residual error 0.237 6 0.040 \ \
Total of 3.574 11 \ \ \
The regression equation (12) is verified by adopting HG/T4541-2013 'limit carbonate method for determining scale inhibition performance of water treatment agent', the water quality index of the test water is randomly given, but the requirement of meeting Ca in water quality variable x is met2+The alkalinity and the pH value range are required, the water temperature of the test water is randomly given, but the value range requirement of the water temperature variable t needs to be met, the dosage of the scale inhibitor is randomly given, but the value range requirement of the scale inhibitor dosage in the scale inhibiting and dispersing agent variable y needs to be met, and the values of the scale inhibitor dosage in the water quality variable x, the water temperature variable t and the scale inhibiting and dispersing agent variable y in the verification test of the regression equation (12) are shown in a table 21.
TABLE 21 test Table for regression equation (12) validation test
Figure BDA0002323250720000151
K was determined for the test points in Table 21 using the prior art test method of example 1LimThe test results are shown in Table 22.
Table 22 verification test KLimComparison table of calculated values and test values calculated from regression equation (12)
Figure BDA0002323250720000152
As can be seen from Table 22, KLimThe calculated value calculated by the regression equation (12) is closer to the experimental value, the error is smaller and reaches within 4 percent, and the fact that the regression equation (12) is used for calculating K is explainedLimThe general applicability of the scale inhibition and dispersion agent (the components of the scale inhibition and dispersion agent should be an optimal formula, namely the content of the monomer A is 61.2 percent, the content of the monomer B is 25.1 percent, and the content of the monomer C is 13.7 percent).
The formula of the present invention is further explained by practical application examples.
Application example 1
The make-up water of the circulating cooling water system of a certain thermal power plant is yellow river water, and the water quality index of the make-up water is shown in a table 23.
Water quality index of supplementing water of meter 23
Quality of make-up water 1/2Ca2+ 1/2Mg2+ Alkalinity of Cl- pH
Concentration/mmol. multidot.L-1 2.590 2.014 3.340 3.453 8.13
The scale inhibition and dispersion agent used by the circulating cooling water system of the factory comprises an organic phosphine scale inhibitor (marked as a monomer A) with the content of 55.6 percent; the content of homopolymer dispersant (denoted as monomer B) was 26.8%; the copolymer dispersant (denoted as monomer C) content was 17.6%.
Ca in makeup water2+The alkalinity and the pH are close to the arithmetic mean value of the main ion concentration of the yellow river dry flow (Mg)2+、Cl-Not a major factor affecting carbonate scaling), K can be calculated using equation (10)Lim
The test value K was determined by the conventional test method in example 1LimIs 4.567. The test method adopts HG/T4541 and 2013 'limit carbonate method for testing scale inhibition performance of water treatment agent', the water temperature of test water is 40 ℃, and the total dosage (sum of A, B, C dosages) of the scale inhibition and dispersion agent is 6 mg/L.
Calculated value K directly calculated from the formula (10)LimIs 4.525.
The relative error of the calculated values from the experimental values was-0.9%.
Application example 2
The make-up water of the circulating cooling water system of a certain thermal power plant is yellow river water, and the water quality index of the make-up water is shown in a table 24.
Water quality index of 24 supplementary water
Quality of make-up water 1/2Ca2+ 1/2Mg2+ Alkalinity of Cl- pH
Concentration/mmol. multidot.L-1 2.579 1.920 3.321 2.675 8.11
The scale inhibition and dispersion agent used by the circulating cooling water system of the factory comprises an organic phosphine scale inhibitor (marked as a monomer A) with the content of 62.1 percent; homopolymer dispersant (denoted as monomer B) content 27.5%; the copolymer dispersant (denoted as monomer C) content was 10.4%.
Ca in makeup water2+The alkalinity and the pH are close to the arithmetic mean value of the main ion concentration of the yellow river dry flow (Mg)2+、Cl-Not a major factor affecting carbonate scaling), K can be calculated using equation (10)Lim. The test value K was determined by the conventional test method in example 1LimIs 4.478. The test method adopts HG/T4541 and 2013 'limit carbonate method for testing scale inhibition performance of water treatment agent', the water temperature of test water is 40 ℃, and the total dosage (sum of A, B, C dosages) of the scale inhibition and dispersion agent is 6 mg/L.
Calculated value K directly calculated from the formula (10)Lim4.411, the relative error between the calculated and the tested values was-1.5%.
Application example 3
The make-up water of the circulating cooling water system of a certain thermal power plant is yellow river water, and the water quality index of the make-up water is shown in a table 25.
TABLE 25 quality index of make-up water
Quality of make-up water 1/2Ca2+ 1/2Mg2+ Alkalinity of Cl- pH
Concentration/mmol. multidot.L-1 2.588 1.971 3.332 1.852 8.12
The scale inhibition and dispersion agent used by the circulating cooling water system of the factory comprises an organic phosphine scale inhibitor (marked as a monomer A) with the content of 60.3 percent; homopolymer dispersant (denoted as monomer B) content 25.7%; the copolymer dispersant (denoted as monomer C) content was 14.0%.
Ca in makeup water2+The alkalinity and the pH are close to the arithmetic mean value of the main ion concentration of the yellow river dry flow (Mg)2+、Cl-Not a major factor affecting carbonate scaling), K can be calculated using equation (10)Lim
The test value K was determined by the conventional test method in example 1LimIs 4.863. The test method adopts HG/T4541 and 2013 'limit carbonate method for testing scale inhibition performance of water treatment agent', the water temperature of test water is 40 ℃, and the total dosage (sum of A, B, C dosages) of the scale inhibition and dispersion agent is 6 mg/L.
Calculated value K directly calculated from the formula (10)LimIs 4.905. The relative error of the calculated values from the experimental values was 0.9%.
Application example 4
If the components of the scale inhibition and dispersion agent used in the circulating cooling water system of the thermal power plant in application example 1 are changed into the optimal proportion of the components of the scale inhibition and dispersion agent suitable for the yellow river system, namely the organic phosphine scale inhibitor (marked as monomer A) with the content of 61.2 percent; homopolymer dispersant (denoted as monomer B) content 25.1%; the copolymer dispersant (denoted as monomer C) content was 13.7%.
The test value K was determined by the conventional test method in example 1LimIs 5.235. The test method adopts HG/T4541 and 2013 limit carbonate method for determining scale inhibition performance of water treatment agent. Test waterThe temperature is 40 ℃, and the total dosage (sum of A, B, C dosages) of the scale inhibiting and dispersing agent is 6 mg/L.
Test value KLimThe original 4.567 is promoted to 5.235, which shows the superiority of the optimal formula of the scale inhibiting dispersant relative to other proportions, namely KLimIs raised.
Application example 5
The make-up water of the circulating cooling water system of a thermal power plant is yellow river water, and the components of the scale inhibition and dispersion agent used by the circulating cooling water system of the plant are selected from the scale inhibition and dispersion agent suitable for the yellow river water system according to the optimal proportion, namely the organic phosphine scale inhibitor (marked as monomer A) with the content of 61.2 percent; homopolymer dispersant (denoted as monomer B) content 25.1%; the copolymer dispersant (denoted as monomer C) content was 13.7%. The water quality index of the original make-up water of the plant is shown in a table 26.
Table 26 original make-up water quality index
Quality of original make-up water 1/2Ca2+ Alkalinity of pH
Concentration/mmol. multidot.L-1 2.480 2.870 8.15
The running temperature of the original circulating water cooling water is 40 ℃, and the total dosage (sum of A, B, C dosages) of the scale-inhibiting dispersant of the original circulating water cooling water is 2 mg/L.
The original circulation cooling was determined by the conventional test method of example 1Test value K of Water SystemLimIs 3.982. Calculated value K obtained by equation (12)Lim4.053, the relative error from the test value is 1.8%.
As the quality of the make-up water changes and the operation conditions change, the water quality index of the make-up water is shown in the table 27.
TABLE 27 Water quality index of present make-up water
Quality of the present replenishing water 1/2Ca2+ Alkalinity of pH
Concentration/mmol. multidot.L-1 3.911 4.723 8.25
The running temperature of the circulating water cooling water is 45 ℃, and the total dosage (sum of A, B, C dosages) of the circulating water cooling water scale-inhibiting dispersant is 6 mg/L.
The test value K of the circulating cooling water system was determined by the conventional test method in example 1LimIs 4.421. The test method adopts HG/T4541 and 2013 limit carbonate method for determining scale inhibition performance of water treatment agent.
Calculated value K obtained by equation (12)Lim4.551, the relative error from the test value is 2.9%.
It can be seen that the test value K is obtained before and after the water quality supplement and the operation condition of the circulating cooling water system are changedLimChanging from 3.982 to 4.421, calculate value KLimChange from 4.053 to 4.551, useThe relative error of the calculated values instead of the experimental values is within ± 4%.
Application example 6
The make-up water of the circulating cooling water system of a thermal power plant is yellow river water, and the components of the scale inhibition and dispersion agent used by the circulating cooling water system of the plant are selected from the scale inhibition and dispersion agent suitable for the yellow river water system according to the optimal proportion, namely the organic phosphine scale inhibitor (marked as monomer A) with the content of 61.2 percent; homopolymer dispersant (denoted as monomer B) content 25.1%; the copolymer dispersant (denoted as monomer C) content was 13.7%. The water quality index of the original make-up water of the plant is shown in a table 28.
TABLE 28 Water quality index of original make-up water
Quality of original make-up water 1/2Ca2+ Alkalinity of pH
Concentration/mmol. multidot.L-1 2.912 3.672 8.17
The running temperature of the original circulating water cooling water is 40 ℃, and the total dosage (sum of A, B, C dosages) of the scale-inhibiting dispersant of the original circulating water cooling water is 4 mg/L.
The test value K of the original circulating cooling water system was determined by the conventional test method in example 1LimWas 4.123. Calculated value K directly calculated by formula (12)LimIt was 4.185 with a relative error of 1.5% from the test value.
As the quality of the make-up water changes and the operation conditions change, the water quality index of the make-up water is shown in the table 29.
TABLE 29 Water quality index of present make-up water
Quality of the present replenishing water 1/2Ca2+ Alkalinity of pH
Concentration/mmol. multidot.L-1 3.522 4.211 8.23
The running temperature of the circulating water cooling water is 40 ℃, and the total dosage (sum of A, B, C dosages) of the circulating water cooling water scale-inhibiting dispersant is 6 mg/L.
The test value K of the circulating cooling water system was determined by the conventional test method in example 1LimIs 4.145.
Calculated value K directly calculated by formula (12)Lim4.176, the relative error from the test value is 0.7%.
It can be seen that the test value K is obtained before and after the water quality supplement and the operation condition of the circulating cooling water system are changedLimChanging from 4.123 to 4.145, calculate KLimThe relative error of replacing the test values with calculated values was within ± 4%, from 4.185 to 4.176.
Application example 7
The make-up water of the circulating cooling water system of a thermal power plant is yellow river water, and the components of the scale inhibition and dispersion agent used by the circulating cooling water system of the plant are selected from the scale inhibition and dispersion agent suitable for the yellow river water system according to the optimal proportion, namely the organic phosphine scale inhibitor (marked as monomer A) with the content of 61.2 percent; homopolymer dispersant (denoted as monomer B) content 25.1%; the copolymer dispersant (denoted as monomer C) content was 13.7%. The water quality index of the original make-up water of the plant is shown in the table 30.
TABLE 30 Water quality index of original make-up water
Quality of original make-up water 1/2Ca2+ Alkalinity of pH
Concentration/mmol. multidot.L-1 4.122 4.218 8.32
The running temperature of the original circulating water cooling water is 45 ℃, and the total dosage (sum of A, B, C dosages) of the scale-inhibiting dispersant of the original circulating water cooling water is 10 mg/L.
The test value K of the original circulating cooling water system was determined by the conventional test method in example 1LimIs 4.469. Calculated value K directly calculated by formula (12)Lim4.558, the relative error from the test value is 2.0%.
As the quality of the make-up water changes and the operation conditions change, the water quality index of the make-up water is shown in the table 31.
TABLE 31 Water quality index of present make-up water
Quality of the present replenishing water 1/2Ca2+ Alkalinity of pH
Concentration/mmol. multidot.L-1 2.873 3.528 8.19
The running temperature of the circulating water cooling water is 45 ℃, and the total dosage (sum of A, B, C dosages) of the circulating water cooling water scale-inhibiting dispersant is 6 mg/L.
The test value K of the circulating cooling water system was determined by the conventional test method in example 1LimIs 4.402.
Calculated value K directly calculated by formula (12)Lim4.382, the relative error from the test value was-0.5%.
It can be seen that the test value K is obtained before and after the water quality supplement and the operation condition of the circulating cooling water system are changedLimChanging from 4.469 to 4.402, calculate value KLimThe relative error of replacing the experimental values with calculated values was within ± 4%, changing from 4.558 to 4.382.
It can be seen that application example 4 is used to illustrate the superiority of the optimum formulation of the scale inhibiting and dispersing agent determined according to the formula (10) over other proportions. The experimental values can be theoretically regarded as true values to illustrate KLimThe promotion of (2) is more convincing.
Equation (10) KLimThe water quality variable, the temperature and the scale inhibitor dosage are controlled by a formula, and only the component pair K of the scale inhibiting dispersant is consideredLimBecause the water quality is the average value of the yellow river water, the total yellow isThe river system has certain representativeness, is also the theoretical basis that the optimal formula is suitable for the whole yellow river system, and when the quality of the supplementing water, the dosage of the antisludging agent and the temperature are consistent with or similar to the test conditions in the mixed material uniform design test, the K can be calculated by using the optimal formulaLim
Formula (12) KLimThe relation formula determines the components of the scale inhibition and dispersion agent (the optimal formula is obtained according to the formula (10)), and Ca is used2+The concentration, alkalinity, pH, temperature and the scale inhibitor dosage are five main factors, namely K can be calculatedLim. The two formulas can be used independently.

Claims (5)

1. The scale inhibiting dispersant is characterized by comprising 30-65 wt% of organic phosphine scale inhibitor A, 25-45 wt% of homopolymer dispersant B and 10-25 wt% of copolymer dispersant C.
2. The scale inhibiting and dispersing agent according to claim 1, wherein the organophosphine scale inhibitor A is preferably 1-carboxyethylidene-1, 1 diphosphonic acid (HEDP), the homopolymer dispersant B is preferably polyacrylic acid (PAA), and the copolymer dispersant C is preferably acrylic acid-2-acrylamide-2-methylpropanesulfonic acid copolymer (AA/AMPS).
3. A method for calculating the universal limit concentration multiple of circulating cooling water by using the scale inhibition and dispersion agent as claimed in claim 1 or 2, wherein the universal limit concentration multiple is calculated by the following formula:
Figure FDA0002323250710000011
in the formula x1、x2Respectively the weight percentage of the scale inhibition and dispersion agent A, B.
4. The method for calculating the universal limiting concentration multiple of the circulating cooling water by using the scale inhibiting and dispersing agent as claimed in claim 3, wherein when K isLimThe maximum scale inhibiting dispersant comprises the following components: 61.2% of organic phosphine scale inhibitor A, homopolymerizationThe content of compound dispersant B was 25.1% and that of copolymer dispersant C was 13.7%.
5. Use of the method of claim 3 or 4 in a yellow river water system circulating water system.
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