The scaling problem exists universally in circulating water systems. Efficient and accurate assessment of scaling tendency is a prerequisite for solving the problem. In this work, it proposes electrolysis to induce hardness variation, which connects with the water stability evaluation index for quantitatively assessing the scaling tendency of water. The quantitative assessment is further realized on the basis of qualitative assessment. Then, the dynamic simulation experiments of circulating water are carried out to provide support for the electrolysis-induced hardness variation which clarifies the criteria that can meet the actual water requirements. This work can achieve an efficient and accurate quantitative assessment of the scaling tendency, which is of great significance for solving the scaling problem of circulating water systems.

  • An electrolysis method is proposed to induce hardness variation of water.

  • Relationship is built between hardness variation and evaluation index.

  • Hardness variation is used to assess the scaling tendency quantitatively.

  • Dynamic simulation experiments support the availability of assessed results.

The current global water crisis affects millions, with around 4 billion people experiencing water stress annually (Aliasghar et al. 2022). Effective management of circulating water is of great significance for improving water resource utilization efficiency. Deposition of scale on heat exchanger walls and pipes can lead to numerous serious problems, including reduced heat transfer efficiency, blocked pipes, and under-deposit corrosion (Chhim et al. 2020; Jiang et al. 2022). Usually, calcium carbonate scale is the most easily precipitated scale in the high-temperature environment of a circulating cooling water system (Wei et al. 2008). Therefore, assessing the scaling tendency of water quickly and accurately is of inestimable significance for the solution of the scaling problem (Chen et al. 2023; Guo et al. 2023).

In previous studies on scaling tendency, there are usually two main types of methods for calcium carbonate scaling tendency (Li et al. 2022). One is to make a preliminary qualitative assessment of scaling tendency through the water stability evaluation index which is based on the dissolution equilibrium of calcium carbonate. So far, a variety of water stability evaluation indices have been used to assess the scaling tendency of water, such as the Langelier saturation index (LSI) (Langelier 1946), the Ryznar stability index (RSI) (Ryznar 1944), the Puklius scale index (PSI) (Ravikumar & Somashekar 2012), the Fouling factor (Jwater) (Bengao & Xieqing 2008). The water stability evaluation index mentioned above all have their own applicability conditions and limitations. For example, the RSI is often used in intercooled open-cycle cooling water systems and is generally believed to be more accurate at pH 6.5–8. However, LSI is often used in cooling water systems where groundwater is used as supplementary water and is generally believed to be more accurate at pH 7–9 (Li et al. 2022). Since the RSI in steady state is an interval index compared with other single point indices, it is more able to meet the actual industrial water fluctuation situation and it is applied widely. Research shows that different results may be obtained when using different water stability evaluation indices to assess the same water (Kalyani et al. 2017; Song et al. 2020). Therefore, the assessment results of the water stability evaluation index can only be used as a relative reference, rather than an absolute judgment. The other is to make a quantitative assessment of the scaling tendency of water through the key indicators of the experimental methods. Some researchers set up hanging pieces in the water, and measure the mass variation of hanging pieces and the variation of calcium ion solubility in the solution regularly (Dalas & Koutsoukos 1989; Cailleau et al. 2006), so as to calculate the scaling rate. Although this method can directly reflect the scaling tendency of water, the above method is time-consuming and difficult to know the scaling status of water accurately. Therefore, it is difficult to know the scaling rate and scaling condition of water accurately in time. Some researchers proposed to assess the water scaling tendency by obtaining electrochemical parameters through electrochemically induced scaling to solve the time-consuming problem (Haaring et al. 2019). Some researchers have compared the interfacial capacitance obtained by electrochemical impedance spectroscopy (EIS) as a measure of mineral-scale surface coverage, which in turn reflects the scaling tendency of water (Devos et al. 2006; Gao et al. 2020). The scaling tendency of water has also been reflected by the values of open circuit potential (OCP) and self-corrosion current density Icorr (Sebastiani et al. 2017; Zhang et al. 2020). The electrochemical testing method is suitable for the study of the microscopic scaling mechanism, and its experimental conditions are harsher and more influenced by other environmental factors, thus its data lack a certain degree of reliability and reproducibility.

Assessing the scaling tendency of water quality is a long-standing challenge in industrial circulating cooling water systems (Pääkkönen et al. 2012). Although there have been some advances in studies to assess the scaling tendency of circulating water, most of the studies have discussed and studied the water stability evaluation index and the key indicators in the experiment separately. They merely focus on the effect of a single water indicator on the scaling tendency of water (Li et al. 2022; Zhang et al. 2022). Therefore, this paper proposes a method of electrolysis to induce hardness variation to assess the scaling tendency of water quantitatively. The hardness variation is associated with the water stability evaluation index. The circulating water dynamic simulation experiment is carried out to provide support for the hardness variation which clarifies the criteria that can meet the actual water requirements. It realizes the quantitative assessment of the scaling tendency of circulating water.

Experimental water

The circulating water simulating solutions were used as experimental water and configured according to the fluctuating range of circulating water in a chemical plant, mainly 1,000 series, 700 series, and 400 series of simulating solutions. The water quality indicators and formulations are shown in the Table 1.

Table 1

Water quality indicators and compositions of experimental solutions

Hardness (As CaCO3 mg/L)Alkalinity (As CaCO3 mg/L)pHTDS (mg/L)CaCl2 (g/L)NaHCO3 (g/L)
1,000 series 1000 100 8.24 1,328 1.1089 0.1679 
1000 80 8.02 1,316 1.1089 0.1343 
1000 60 7.98 1,311 1.1089 0.1007 
1000 40 7.92 1,299 1.1089 0.0671 
1000 30 7.78 1,288 1.1089 0.0504 
1000 20 7.65 1,276 1.1089 0.0336 
700 series 700 350 7.95 1,168 0.7762 0.5876 
700 250 7.92 1,081 0.7762 0.4197 
700 150 7.91 1,000 0.7762 0.2518 
700 100 7.88 960 0.7762 0.1679 
700 50 7.80 917 0.7762 0.0839 
700 20 7.70 908 0.7762 0.0336 
400 series 400 400 8.07 870 0.4436 0.6715 
400 250 8.02 739 0.4436 0.4197 
400 150 7.98 649 0.4436 0.2518 
400 100 7.96 604 0.4436 0.1679 
400 50 7.94 560 0.4436 0.0839 
400 20 7.93 534 0.4436 0.0336 
Hardness (As CaCO3 mg/L)Alkalinity (As CaCO3 mg/L)pHTDS (mg/L)CaCl2 (g/L)NaHCO3 (g/L)
1,000 series 1000 100 8.24 1,328 1.1089 0.1679 
1000 80 8.02 1,316 1.1089 0.1343 
1000 60 7.98 1,311 1.1089 0.1007 
1000 40 7.92 1,299 1.1089 0.0671 
1000 30 7.78 1,288 1.1089 0.0504 
1000 20 7.65 1,276 1.1089 0.0336 
700 series 700 350 7.95 1,168 0.7762 0.5876 
700 250 7.92 1,081 0.7762 0.4197 
700 150 7.91 1,000 0.7762 0.2518 
700 100 7.88 960 0.7762 0.1679 
700 50 7.80 917 0.7762 0.0839 
700 20 7.70 908 0.7762 0.0336 
400 series 400 400 8.07 870 0.4436 0.6715 
400 250 8.02 739 0.4436 0.4197 
400 150 7.98 649 0.4436 0.2518 
400 100 7.96 604 0.4436 0.1679 
400 50 7.94 560 0.4436 0.0839 
400 20 7.93 534 0.4436 0.0336 

Water stability evaluation index method

At present, evaluation indices such as RSI, LSI, PSI, and Jwater are mainly used to qualitatively assess the scaling tendency of water (Li et al. 2022). The following formulas are used to calculate each evaluation index of the experimental water, and to make a preliminary assessment of their scaling tendency.
formula
(1)
formula
(2)
where pHs is the pH when calcium carbonate is in equilibrium. A is the total solids coefficient, which is related to the total solids and is generally calculated by conductivity. B is the temperature coefficient. C is the calcium hardness coefficient. D is the alkalinity coefficient.
Using the RSI experimental data reported in the published literature, RSI calculation formula was fitted as in Formula 3 (Ryznar 1944; Changshan et al. 2009; Zhang et al. 2014; Kalyani et al. 2017).
formula
(3)
where T is the wall temperature of the heat exchanger, °C. TDS is the total dissolved solids concentration, mg/L. CCa is calcium hardness in terms of CaCO3, mg/L. M is the total alkalinity in terms of CaCO3, mg/L.
formula
(4)
formula
(5)
formula
(6)
formula
(7)
where pHeq is the equilibrium pH of circulating water.
formula
(8)
where CCa is the measured calcium hardness of water at a given temperature in terms of CaCO3, mg/L. CM is the measured alkalinity of water at a specific temperature in terms of CaCO3, mg/L. CCaeq is the equilibrium calcium hardness of water at a specific temperature in terms of CaCO3, mg/L. CMeq is the equilibrium alkalinity of water at a specific temperature in terms of CaCO3, mg/L. The calculation formula at 60 °C is obtained from the relevant data in the paper as Formula 9 (Plummer & Busenberg 1982; Bengao & Xieqing 2008).
formula
(9)

Experimental method

Hanging piece method

The fixed size 304 stainless steel round piece was selected as the hanging specimen (the contact surface area with the solution was 11.38 cm2). Its surface was polished with 1,000 mesh silicon carbide sandpaper before immersion, and sonicated in ethanol solution for 10 min to ensure that the surface state of each specimen was consistent (Deng et al. 2022). It was suspended in 250 mL of the above experimental solution and left to stand in a constant temperature water bath at 60 °C for 12 h. The test piece was dried in an oven and weighed. The weight variation was recorded to obtain the scaling rate. The hardness titration using Ethylene Diamine Tetraacetic Acid (EDTA) was performed after the solution was cooled and made up to its initial volume with deionized water to obtain the hardness variation of water. Digital image of specimens was obtained by taking photos with a mobile phone. Three sets of experiments were done in parallel for each water quality.

Electrochemical testing method

The electrochemical testing method mainly refers to microscopic testing to obtain electrochemical parameters on the surface of the working electrode. The epoxy-encapsulated stainless steel specimen was selected as the working electrode for testing. The area of the specimen exposed to the solution was 0.64 cm2. The surface was polished before use and sonicated in ethanol solution for 10 min to ensure that the surface state of the specimen was consistent each time. The three-electrode system was constituted to place the solution in a water bath at 60 °C for testing, where a platinum sheet was used as the auxiliary electrode, a saturated calomel electrode (SCE) as the reference electrode, and a stainless steel specimen as the working electrode. Electrochemical testing mainly included potentiostatic polarization and electrochemical impedance spectroscopy (EIS) . To accelerate scaling and avoid the effect of hydrogen precipitation, each group of water was first deposited at a potential of −0.9 V versus SCE for 1 h with potentiostatic polarization. Then electrochemical impedance spectroscopy was tested at a potential of ±10 mV around −0.9 V with a range of frequency of 10 mHz to 10 kHz. The hardness variation is obtained according to the above method.

Macro- and microscopic images of the surface of the working were obtained by taking photos with mobile phones and metallographic microscopes, respectively. Three sets of experiments were done in parallel for each water quality.

Electrolysis-induced method

The electrolysis-induced method referred to accelerate scaling by electrolysis, and hardness variation was chosen as an evaluation indicator of scaling tendency. The circulating water dynamic simulation experiment was used as its supporting basis to assess the water scaling tendency accurately. The electrode system with an effective positive area of 7 cm × 7 cm was selected for electrolysis. The cathode was a stainless steel flat plate and the anode was a dimension-stable anode flat plate. The distance between them was 2 cm. It was placed in 1 L of the above solution, and electrolysis experiments were carried out with the optimal current density and electrolysis time screened under the water bath conditions at 60 °C. The cathode stainless steel plate was cleaned with acetic acid before use to ensure that its surface state was consistent each time. The hardness variation is obtained according to the above method. It is recorded as H.

The circulating water dynamic simulation experimental device is shown in Figure 1. The fixed area stainless steel specimen (contact surface area with solution is 5.72 cm2) was chosen to simulate the wall of the heat exchanger. The thermocouple was pressed under it and connected to the thermostat to control the wall temperature. The 5 L of the above solution was circulated through the surface of the specimen at 60°C by a pump with a flow rate of 1 m/s for 12 h. The specimens were dried and weighed, and the weight variation was recorded to obtain the scaling rate. The scaling rate is recorded as S. Digital image of specimens was obtained by taking photos with a mobile phone. Three sets of experiments were done in parallel for each water quality.
Figure 1

Schematic diagram of circulating water dynamic simulation.

Figure 1

Schematic diagram of circulating water dynamic simulation.

Close modal

Analysis of water stability evaluation index method

The evaluation index of each experimental water and their stability states are shown in Table 2 through the calculation. It can be seen that the RSI has three states in its assessment, while the other three indices have only one or two states, thus its assessment is indeed more detailed compared to the others. In addition, the assessment results of different evaluation indices on the scaling tendency also appear in various situations for the same water quality. Especially the assessment results of each evaluation index are more likely to be different for water with a weak scaling tendency. Therefore, merely using the water stability evaluation index cannot assess the scaling tendency of water accurately and reliably. The result is consistent with literature reports (Li et al. 2022). It is necessary to combine the experimental results to make a more accurate assessment of the scaling tendency of water.

Table 2

Each evaluation index of experimental water and their stable states

Water (hardness/alkalinity)RSI
LSI
PSI
Jwater
ValueStateValueStateValueStateValueState
1,000/100 4.40 Severe Scaling 1.92 Scaling 5.17 Scaling 77.51 Scaling 
1,000/80 4.81 Severe Scaling 1.60 Scaling 5.51 Scaling 41.37 Scaling 
1,000/60 5.10 Severe Scaling 1.44 Scaling 5.94 Scaling 20.06 Scaling 
1,000/40 5.51 Slight Scaling 1.20 Scaling 6.55 Stable 7.22 Scaling 
1,000/30 5.90 Slight Scaling 0.94 Scaling 6.98 Stable 3.36 Scaling 
1,000/20 6.38 Stable 0.63 Scaling 7.59 Stable 1.17 Scaling 
700/350 3.90 Severe Scaling 2.02 Scaling 3.59 Scaling 1,072.76 Scaling 
700/250 4.22 Severe Scaling 1.85 Scaling 4.09 Scaling 462.76 Scaling 
700/150 4.66 Severe Scaling 1.62 Scaling 4.85 Scaling 130.87 Scaling 
700/100 5.04 Severe Scaling 1.42 Scaling 5.45 Scaling 47.62 Scaling 
700/50 5.72 Slight Scaling 1.04 Scaling 6.49 Stable 8.36 Scaling 
700/20 6.61 Stable 0.54 Scaling 7.87 Stable 0.83 Stable 
400/400 4.13 Severe Scaling 1.97 Scaling 3.85 Scaling 890.53 Scaling 
400/250 4.57 Severe Scaling 1.72 Scaling 4.54 Scaling 274.52 Scaling 
400/150 5.04 Severe Scaling 1.47 Scaling 5.29 Scaling 76.79 Scaling 
400/100 5.41 Severe Scaling 1.28 Scaling 5.90 Scaling 28.05 Scaling 
400/50 6.02 Slight Scaling 0.96 Scaling 6.93 Stable 5.04 Scaling 
400/20 6.82 Stable 0.55 Scaling 8.31 Stable 0.52 Stable 
Water (hardness/alkalinity)RSI
LSI
PSI
Jwater
ValueStateValueStateValueStateValueState
1,000/100 4.40 Severe Scaling 1.92 Scaling 5.17 Scaling 77.51 Scaling 
1,000/80 4.81 Severe Scaling 1.60 Scaling 5.51 Scaling 41.37 Scaling 
1,000/60 5.10 Severe Scaling 1.44 Scaling 5.94 Scaling 20.06 Scaling 
1,000/40 5.51 Slight Scaling 1.20 Scaling 6.55 Stable 7.22 Scaling 
1,000/30 5.90 Slight Scaling 0.94 Scaling 6.98 Stable 3.36 Scaling 
1,000/20 6.38 Stable 0.63 Scaling 7.59 Stable 1.17 Scaling 
700/350 3.90 Severe Scaling 2.02 Scaling 3.59 Scaling 1,072.76 Scaling 
700/250 4.22 Severe Scaling 1.85 Scaling 4.09 Scaling 462.76 Scaling 
700/150 4.66 Severe Scaling 1.62 Scaling 4.85 Scaling 130.87 Scaling 
700/100 5.04 Severe Scaling 1.42 Scaling 5.45 Scaling 47.62 Scaling 
700/50 5.72 Slight Scaling 1.04 Scaling 6.49 Stable 8.36 Scaling 
700/20 6.61 Stable 0.54 Scaling 7.87 Stable 0.83 Stable 
400/400 4.13 Severe Scaling 1.97 Scaling 3.85 Scaling 890.53 Scaling 
400/250 4.57 Severe Scaling 1.72 Scaling 4.54 Scaling 274.52 Scaling 
400/150 5.04 Severe Scaling 1.47 Scaling 5.29 Scaling 76.79 Scaling 
400/100 5.41 Severe Scaling 1.28 Scaling 5.90 Scaling 28.05 Scaling 
400/50 6.02 Slight Scaling 0.96 Scaling 6.93 Stable 5.04 Scaling 
400/20 6.82 Stable 0.55 Scaling 8.31 Stable 0.52 Stable 

Analysis of the experimental method

Analysis of the results of the hanging piece method

Since the advantages of the RSI in the practical application process, the subsequent research mainly focuses on the RSI and other indices as supplementary research.

The surface state of the specimen can visually reflect the scaling tendency of water for the hanging piece method. It is obvious from Figure 2 that the greater the scaling tendency of water quality, the more scale deposited on the surface of the specimen. Moreover, less scale is deposited on the specimen and the metallic luster of its surface becomes more and more obvious with the weakening of the scaling tendency.
Figure 2

Digital image of stainless steel specimens immersed in water at 60 °C for 12 h: (a) 1,000 series; (b) 700 series; and (c) 400 series.

Figure 2

Digital image of stainless steel specimens immersed in water at 60 °C for 12 h: (a) 1,000 series; (b) 700 series; and (c) 400 series.

Close modal
The stainless steel specimen after immersion was weighed to get its weight variation, and then the relationship between scaling rate and RSI was obtained. The scaling rate is calculated according to Formula 10.
formula
(10)
where Y is the scaling rate, mg/(cm2·month); C is the calculation constant, 7.2 × 105. ΔW is the weight of adherent, i.e. weight variation of the test piece. T is the experimental running time, h. A is the contact area between the test piece and the solution, cm2.
The relationship between scaling rate and hardness variation versus RSI is shown in Figure 3. It is obvious from the figure that the scaling rate calculated by the weight variation of specimens reflected the scaling tendency with greater error and more chance for different series of water. The result is consistent with the experimental phenomenon that not all the scale precipitated on the stainless steel specimen and some scale was still suspended in the main bulk of the solution. Therefore, the hardness variation of water reflects the scaling tendency more accurately. The fitting relationship with RSI is better, and the R2 are more than 0.99.
Figure 3

Key indicators of the hanging piece method versus RSI curve: (a) scaling rate-RSI curve and (b) hardness variation-RSI curve.

Figure 3

Key indicators of the hanging piece method versus RSI curve: (a) scaling rate-RSI curve and (b) hardness variation-RSI curve.

Close modal

Analysis of the results of the electrochemical testing method

The potentiostatic polarization was used to induce the deposition of scale on the working electrode surface for the electrochemical testing method. It caused a change in the coverage state of the working electrode surface, which in turn reflected the scaling tendency of water by electrochemical parameters. It can be seen obviously from Figure 4 that the scale deposited on the surface of the electrode is dense and complete in water with a high scaling tendency. The surface of the electrode begins to reveal a dotted grainy stainless steel matrix until only a scattered thin scale is deposited on it with the scaling tendency weakening.
Figure 4

Macro- and microscopic images of the surface of the working electrode after 1 h of deposition in water: (a) 1,000 series; (b) 700 series; and (c) 400 series.

Figure 4

Macro- and microscopic images of the surface of the working electrode after 1 h of deposition in water: (a) 1,000 series; (b) 700 series; and (c) 400 series.

Close modal
The fitting impedance diagrams of each series of water are calculated by using the equivalent circuit as shown in Figure 5. It is well known that capacitance is proportional to the active surface of the working electrode while the charge transfer resistance is inversely proportional. Previous studies have shown that the capacitance value is a characteristic parameter that can characterize the surface coverage of electrodes, thus the method can assess the scaling tendency of water theoretically. The surface coverage of the electrode is calculated according to Formulas 11 and 12 (Devos et al. 2006; De Motte et al. 2020). Only the coverage of 1,000 series water quality has a better relationship with RSI after processing as shown in Figure 6. This also illustrates the limitations of assessing the scaling tendency of water by EIS. The result is consistent with literature reports (Devos et al. 2006).
formula
(11)
formula
(12)
where Rs is the solution resistance. Rct is the charge transfer resistance and Qdl along with α are constant phase element (CPE) parameters. Cdl(t) is the capacitance at deposition t time. Cdl(0) is the capacitance at the initial time.
Figure 5

Impedance diagrams in the Nyquist of working electrode after 1 h deposition in different series of water: (a) 1,000 series; (b) 700 series; (c) 400 series; and (d) equivalent electrical circuit.

Figure 5

Impedance diagrams in the Nyquist of working electrode after 1 h deposition in different series of water: (a) 1,000 series; (b) 700 series; (c) 400 series; and (d) equivalent electrical circuit.

Close modal
Figure 6

Key indicators of the electrochemical testing method versus RSI curve: (a) surface coverage of working electrode-RSI curve in 1,000 series water after deposition for 1 h and (b) hardness variation-RSI curve.

Figure 6

Key indicators of the electrochemical testing method versus RSI curve: (a) surface coverage of working electrode-RSI curve in 1,000 series water after deposition for 1 h and (b) hardness variation-RSI curve.

Close modal

The hardness variation of different series of water are examined as shown in Figure 6. The graph clearly shows that the hardness variation presents a better exponential relationship with the RSI and is applicable to a series of water quality widely. Moreover, the fitting relationships between hardness variation and RSI all reached above 0.99. Therefore, it also demonstrates that the hardness variation of water reflects the scaling tendency more accurately.

Analysis of the results of the electrolysis-induced method

The water quality with two boundary scaling tendencies of this special high hardness and low alkalinity water of 1,000 series are selected for electrolysis parameter optimization. It ensures that the screened electrolysis parameters can be applied to a series of water quality for the electrolysis-induced method. The optimization process is shown in Figure 7. The current density of 36 A/m2 is used to screen the electrolysis time. It shows that the hardness variation of 1,000/100 water slows down significantly after 10 min, while the hardness variation of 1,000/20 water almost always increases slowly and smoothly. Therefore, it is chosen as the optimal parameter of electrolysis time because of the fast and efficient assessment of the water scaling tendency. In addition, the hardness variation between the two scaling tendencies can be distinguished sufficiently at 10 min. Then, this electrolysis time is used to screen the current density. It can be seen that there is a more obvious turn at 18 A/m2 for both water qualities, and then levels off, thus it is chosen as the optimal parameter for the current density because of the energy consumption.
Figure 7

Optimization process of electrolysis parameters: (a) hardness variation–electrolysis time curve; (b) hardness variation–current density curve.

Figure 7

Optimization process of electrolysis parameters: (a) hardness variation–electrolysis time curve; (b) hardness variation–current density curve.

Close modal
The electrolysis-induced experiments were carried out with the screened electrolysis parameters. The relationship between hardness variation and water quality stability evaluation index of water with different scaling tendencies were obtained as shown in Figure 8. It shows that the hardness variation obtained by electrolysis can be correlated well with the water quality stability evaluation index for each series of water, which shows a linear function with RSI, LSI, PSI, and an exponential function with Jwater. The fitting function formulas are shown in Table 3. This also illustrates the practicality and universality of assessing the scaling tendency of water by electrolysis to induced hardness variation.
Table 3

Fitting function formulas of electrolysis-induced hardness variation and the water stability evaluation index

1,000 series700 series400 series
RSI    
LSI    
PSI    
Jwater    
1,000 series700 series400 series
RSI    
LSI    
PSI    
Jwater    
Figure 8

Graphs of electrolysis-induced hardness variation versus water stability evaluation index: (a) hardness variation-RSI curve; (b) hardness variation–LSI curve; (c) hardness variation–PSI curve; and (d) Hardness variation–Jwater curve.

Figure 8

Graphs of electrolysis-induced hardness variation versus water stability evaluation index: (a) hardness variation-RSI curve; (b) hardness variation–LSI curve; (c) hardness variation–PSI curve; and (d) Hardness variation–Jwater curve.

Close modal

In summary, the hardness variation of water compared to the key indicators of the above methods is more accurate to reflect the scaling tendency of water. Although the hanging piece method and electrochemical testing method can be used to assess the scaling tendency of water to a certain extent, there are problems with hysteresis and data stability in the actual field application. Therefore, the hardness variation can establish a good correlation with RSI in the above methods, which is chosen as the key indicator to reflect the scaling tendency of water. The electrolysis-induced method is used as an experimental means to assess the scaling tendency of water.

The circulating water dynamic simulation experiments were carried out to provide support for the assessment by the electrolysis-induced method. Its results are similar to those of the hanging piece method. The surface state of the specimens can also visually reflect the scaling tendency of water. Figure 9 shows the digital image of the stainless steel specimens with water flowing through their surface at 60 °C for 12 h. It is obvious that the more scale is deposited on the surface of the specimen for the greater scaling tendency of water. The less scale deposited on the surface of the stainless steel specimen, the more obvious the metallic luster with the weakening of scaling tendency.
Figure 9

Digital image of stainless steel specimens immersed in water for 12 h: (a) 1,000 series; (b) 700 series; and (c) 400 series.

Figure 9

Digital image of stainless steel specimens immersed in water for 12 h: (a) 1,000 series; (b) 700 series; and (c) 400 series.

Close modal
The specimen was weighed after scaling to obtain its weight variation, and then the relationship between scaling rate and water stability evaluation index was obtained for different scaling tendency water as shown in Figure 10. The fitting function formulas are shown in Table 4. It is obvious from the figure that the dynamic scaling rate has a good correlation with each water stability evaluation index for a series of water. The scaling rate of heat exchange pipes should be no more than 15 mg/(cm2·month) in accordance with the provisions of the industry standard. It was substituted into the fitting function formulas in Table 4 to obtain the actual values of each water stability evaluation index that meet the requirements of industrial water as shown in Table 5. It is obvious from the table that the actual value of each evaluation index to assess the water in stable is different from the theoretical value. In addition, the same kind of evaluation index value is not the same for different series of water in stable. The above results also illustrate again the limitation and one-sidedness of assessing the scaling tendency of water only by the evaluation index.
Table 4

Fitting function formulas of scaling rate and water stability evaluation index for circulating water dynamic simulation

1,000 series700 series400 series
RSI    
LSI    
PSI    
Jwater    
1,000 series700 series400 series
RSI    
LSI    
PSI    
Jwater    
Table 5

Theoretical and actual values of water stability evaluation index in steady state

Water stability evaluation indexTheoretical valueActual value
1,000 series700 series400 series
RSI 4.84 5.81 5.66 
LSI 1.62 0.99 1.14 
PSI 5.62 6.66 6.31 
Jwater 29.82 6.52 16.62 
Water stability evaluation indexTheoretical valueActual value
1,000 series700 series400 series
RSI 4.84 5.81 5.66 
LSI 1.62 0.99 1.14 
PSI 5.62 6.66 6.31 
Jwater 29.82 6.52 16.62 
Figure 10

Graphs of dynamic scaling rate and water stability evaluation index relationship: (a) scaling rate-RSI curve; (b) scaling rate-LSI curve; (c) scaling rate-PSI curve; and (d) scaling rate-Jwater curve.

Figure 10

Graphs of dynamic scaling rate and water stability evaluation index relationship: (a) scaling rate-RSI curve; (b) scaling rate-LSI curve; (c) scaling rate-PSI curve; and (d) scaling rate-Jwater curve.

Close modal
Since the circulating water dynamic simulation experiment is the closest to the actual working conditions of the heat exchanger wall scaling, it is chosen as the support for assessing the scaling tendency of water. It combines with the electrolysis-induced method to make a quantitative assessment of the scaling tendency together. The actual and theoretical values of the evaluation index were substituted into the fitting function formulas in Table 3 to obtain the hardness variation shown in Figure 11. The hardness variation value appears negative because it is only a virtual value to assess the stable state of water. The smaller the value, the higher the standard of assessment of water in a stable state. It is obvious from the figure that the assessment results of meeting actual water requirements and theoretical stable water quality differ significantly. It also illustrates again the necessity of adding an experimental basis when assessing the scaling tendency of water. In addition, the results of hardness variation corresponding to the actual evaluation index values are similar for different series of water. It indicates the accuracy and rationality of the electrolysis-induced method to assess the scaling tendency of water. However, this work is still some distance away from the establishment of a full series of water-related databases to achieve the goal of rapid assessment of scaling tendency, which can be the focus of subsequent research.
Figure 11

Electrolysis-induced hardness variation corresponding to each water quality stability evaluation at steady state: (a) hardness variation corresponding to theoretical water quality stability evaluation values and (b) hardness variation corresponding to actual water quality stability evaluation index values.

Figure 11

Electrolysis-induced hardness variation corresponding to each water quality stability evaluation at steady state: (a) hardness variation corresponding to theoretical water quality stability evaluation values and (b) hardness variation corresponding to actual water quality stability evaluation index values.

Close modal

The electrolysis-induced hardness variation is used as the key indicator to assess the scaling tendency of water quantitatively. The functional relationship is established between hardness variation and water stability evaluation index. The circulating water dynamic simulation experiment supports the results of the electrolysis-induced method. It further clarifies the values of hardness variation to meet the actual water requirements for different series of water quality. This work not only realizes the further assessment based on the water stability evaluation index but also provides a more accurate guiding strategy for assessing the scaling tendency of circulating water. However, this study is only applicable to natural water containing calcium ions, and it is also necessary to consider the impact of electrolysis on the reagents for non-natural water (water with added chemicals). Subsequent research can conduct electrolytic induction experiments on various types of circulating water, in order to establish the comprehensive evaluation system for scaling tendency.

We gratefully acknowledge the financial support of the National Natural Science Foundation of China (No. 21978036).

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

Aliasghar
A.
,
Javid
P.
,
Rahmaninezhad
S. A.
&
Mehrdadi
N.
2022
Optimizing the desalination rate in a photoelectrocatalytic desalination cell (PEDC)
.
Water Supply
22
(
12
),
8659
8668
.
Bengao
L.
&
Xieqing
W.
2008
Research on the relationships between water characteristics and water quality
.
Industrial Water Treatment
28
(
10
),
71
73
.
Cailleau
P.
,
Jacquin
C.
,
Dragone
D.
,
Girou
A.
,
Roques
H.
&
Humbert
L.
2006
Influence of foreign ions and of organic matter on the crystallization of calcium carbonates
.
Oil & Gas Science and Technology
34
(
1
),
83
112
.
Changshan
H.
,
Jinying
W.
,
Yushan
C.
,
Min
Z.
&
Rongjiang
L.
2009
Recycled cooling water conductivity and scaling study on the relationship between
.
Water & Wastewater Engineering
35
(
1
),
322
325
.
Dalas
E.
&
Koutsoukos
P. G.
1989
Calcium carbonate scale formation on heated metal surfaces
.
Geothermics
18
(
1
),
83
88
.
De Motte
R.
,
Basilico
E.
,
Mingant
R.
,
Kittel
J.
,
Ropital
F.
,
Combrade
P.
,
Necib
S.
,
Deydier
V.
,
Crusset
D.
&
Marcelin
S.
2020
A study by electrochemical impedance spectroscopy and surface analysis of corrosion product layers formed during CO2 corrosion of low alloy steel
.
Corrosion Science
172
,
108666
.
Deng
F.
,
Yin
B.
,
Li
X.
,
Wang
Y.
&
Xu
Y.
2022
Analysis of the scaling mechanism and characteristics of a double-defects screen based on data from Hafaya oilfield
.
Journal of Petroleum Science and Engineering
216
,
110729
.
Haaring
R.
,
Kumar
N.
,
Bosma
D.
,
Poltorak
L.
&
Sudhölter
E. J. R.
2019
Electrochemically assisted deposition of calcite for application in surfactant adsorption studies
.
Energy & Fuels
33
(
2
),
805
813
.
Jiang
J.
,
Huang
G.
,
Wang
Y.
&
Fan
R.
2022
An investigation on scaling failure of heat exchanger in cooling water system of natural gas purification plant
.
Asia-Pacific Journal of Chemical Engineering
17
(
5
),
e2808
.
Kalyani
D. S.
,
Rajesh
V.
,
Reddi
E. U. B.
,
Kumar
K. C.
&
Rao
S. S.
2017
Correlation between corrosion indices and corrosiveness of groundwater: a study with reference to selected areas of Krishna District, Andhra Pradesh
.
India. Environmental Earth Sciences
76
(
16
),
1
13
.
Langelier
W. F.
1946
Chemical equilibria in water treatment
.
Journal – American Water Works Association.
38
(
2
),
169
178
.
Pääkkönen
T. M.
,
Riihimäki
M.
,
Simonson
C. J.
,
Muurinen
E.
&
Keiski
R. L.
2012
Crystallization fouling of CaCO3 – analysis of experimental thermal resistance and its uncertainty
.
International Journal of Heat and Mass Transfer
55
(
23
),
6927
6937
.
Ryznar
J. W.
1944
A New index for determining amount of calcium carbonate scale formed by a water
.
Journal – American Water Works Association
36
(
4
),
472
483
.
Sebastiani
F.
,
Wolf
S. L. P.
,
Born
B.
,
Luong
T. Q.
,
Cölfen
H.
,
Gebauer
D.
&
Havenith
M.
2017
Water dynamics from THz spectroscopy reveal the locus of a liquid–liquid binodal limit in aqueous CaCO3 solutions
.
Angewandte Chemie
129
(
2
),
504
509
.
Wei
Y.
,
Hao
X.
&
Cheng-Li
T.
2008
Scale and its physical prevention in water systems
.
Water Purification Technology
27
(
3
),
9
13
.
Zhang
L.
,
Theregowda
R. B.
&
Small
M. J.
2014
Statistical model for scaling and corrosion potentials of cooling-system source waters
.
Environmental Engineering Science
31
(
10
),
570
581
.
Zhang
H.
,
Liu
D.
,
Zhao
L.
,
Wang
J.
,
Xie
S.
,
Liu
S.
,
Lin
P.
,
Zhang
X.
&
Chen
C.
2022
Review on corrosion and corrosion scale formation upon unlined cast iron pipes in drinking water distribution systems
.
Journal of Environmental Sciences
117
,
173
189
.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).