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Removal of Phosphorus in Rubber Wastewater – Design of Experiment for the Struvite Crystallization Reaction

2019, Chemical engineering transactions

Recovering struvite crystal is one of the most interesting methods for removing phosphorus from wastewater to produce fertilizer. Phosphorus is removed from wastewater streams to prevent the ecologically harmful effects of eutrophication in receiving natural, so the recovery and reuse of phosphorus in rubber wastewater by struvite precipitation not only reduces the effects of phosphorus for the environment where the product MAP (Magnesium Ammonium Phosphate) is also a slow release fertilizer is very useful for agriculture. During the reaction process taking place, the parameters of pH, Mg2+/PO43- ratio and NH4+/PO43- ratio gate the large influence on the formation of struvite. The design of experiment had been carried out using three factors based, multi-factorized experimental equation was. From the experimental equation, the experimental had been optimized for three factors. The optimization level of the parameters were determined as 9.0 for the pH, 1.25 for ratio of Mg2+/PO43- an...

223 A publication of CHEMICAL ENGINEERING TRANSACTIONS VOL. 72, 2019 Guest Editors: Jeng Shiun Lim, Azizul Azri Mustaffa, Nur Nabila Abdul Hamid, Jiří Jaromír Klemeš Copyright © 2019, AIDIC Servizi S.r.l. ISBN 978-88-95608-69-3; ISSN 2283-9216 The Italian Association of Chemical Engineering Online at www.aidic.it/cet DOI: 10.3303/CET1972038 Removal of Phosphorus in Rubber Wastewater – Design of Experiment for the Struvite Crystallization Reaction Ngo Van Thanh Huy, Tran Minh Chi, Truc Linh Phan, Anhkien Le* Institute for Tropicalization and Environment(ITE), 57A Truong Quoc Dung, Phu Nhuan, Ho Chi Minh City, Vietnam anhkien.le@gmail.com Recovering struvite crystal is one of the most interesting methods for removing phosphorus from wastewater to produce fertilizer. Phosphorus is removed from wastewater streams to prevent the ecologically harmful effects of eutrophication in receiving natural, so the recovery and reuse of phosphorus in rubber wastewater by struvite precipitation not only reduces the effects of phosphorus for the environment where the product MAP (Magnesium Ammonium Phosphate) is also a slow release fertilizer is very useful for agriculture. During the reaction process taking place, the parameters of pH, Mg 2+/PO43- ratio and NH4+/PO43- ratio gate the large influence on the formation of struvite. The design of experiment had been carried out using three factors based, multi-factorized experimental equation was. From the experimental equation, the experimental had been optimized for three factors. The optimization level of the parameters were determined as 9.0 for the pH, 1.25 for ratio of Mg2+/PO43- and 4.35 for ratio of NH4+/PO43-. The obtained precipitation volume with optimum parameters was 0.3401 g/300 mL of rubber wastewater 1. Introduction Phosphorus (P) is the basic element of life, including people dependent on phosphorus to stay healthy and productive, and as an essential nutrient for plants production. Moreover, there is no substitute for phosphorus in nature (United States Geological Survey, 2005). Vietnam’s rubber industry is growing in line with economic growth and contributed significantly to the GDP of the country. However, along with the rapid economic development, the environment problems caused by this industry are also worrying. In Vietnam, it is estimated that rubber latex processing industry generates about 5.000.000 m3 wastewater annually. This large amount of wastewater has high concentration of biodegradable organic substances such as: acetic acid, sugar, protein. The concentration of COD reached 2,500 – 35,000 mg/l, BOD: 1,500 – 12,000 mg/l, NH4-N: 200 – 400 mg/L, total phosphorus: 25- 40 mg/L (Mohammadi et al., 2010). Wastewater from the rubber latex processing plants, if not thoroughly treated, will become as one of the reason that causes of the increasingly serious environment pollution such as: the exhaustion of oxygen leading to eradication of aquatic animals and plants, eutrophication deprives the aesthetics and water quality of source, the instruction into the groundwater adversely affects the quality of water, which use for domestic purposes and increases the cost of treatment (Doino et al., 2011). Therefore, the recovery of phosphorus from wastewater streams is very necessary. Reducing the amount of phosphorus in wastewater is important for the environment. Various chemical and biological processes have been developed for P removal, such as metal precipitation, constructed wetland systems (Headley et al., 2000), biological nutrient removal processes (Stratful et al.,1999), enhanced biological phosphorus removal processes (Carlsson et al., 1997), and the struvite crystallization process (Munch and Barr, 2001). Among these processes, the struvite crystallization process is an ideal technique because it can simultaneously remove and recover P and N from wastewater (Ueno and Fujii, 2001). Moreover, when struvite is used as fertilizer, the extraction of rock phosphorus can be reduced (Zhu et al, 2014). Struvite precipitation occurs under alkaline conditions according to the reaction have been shown in Eq(1) as follows: Paper Received: 03 September 2018; Revised: 21 October 2018; Accepted: 09 December 2018 Please cite this article as: Huy N.V.T., Chi T.M., Phan T.L., Le A., 2019, Removal of phosphorus in rubber wastewater – design of experiment for the struvite crystallization reaction, Chemical Engineering Transactions, 72, 223-228 DOI:10.3303/CET1972038 224 Mg2+ + NH4 + + PO43- + 6H2O → MgNH4PO4.6H2O (1) Eq(1) indicated that the struvite crystals to be created when the magnesium, ammonia and phosphate combined in water in a mole to mole to mole ratio of 1:1:1. Struvite precipitation depends on two main factors: the molar ratio of Mg:NH 4:P and the pH value of wastewater (Munch and Barr, 2001). The struvite crystallization process on influence of pH, temperature and supersaturation on struvite growth kinetics (Harrison et al., 2011). The paper presents the results of the empirical study on influence of three factors: pH, molar ratios of Mg2+/PO43- and NH4+/PO43- to the struvite precipitation reaction and struvite content obtained from the process the experiment was 3.401 g/300 mL wastewater. 2. Materials and methods 2.1 Experimental setup In experiments, measured amounts of MgCl2·6H2O were added to 300 mL of wastewater, and stirred in a jar test apparatus. The reaction time was 30min at a mixing speed of 50 rpm. Sodium hydroxide (NaOH) of 3M were used for pH adjustment. To investigate the effect of NH 4-N concentration solution, ammonium chloride (NH4Cl) was added to 300 ml of wastewater to get different molar ratios of NH 4-N:PO4-P. 2.2 Wastewater The experimental solutions were prepared by mixing accurately measured volumes of magnesium chloride, potassium dihydrogen phosphate and ammonium chloride dissolved in distilled water. The parameters and conditions experiment are described in Table 1. Table 1: The experimental parameters and conditions No. 1 2 3 4 5 Parameters pH Mg2+/PO43NH4+/PO43Stirring speed Temperature Unit rpm/min °C Value 8.5; 9.0; 9.5 1; 1.25; 1.5 1; 2.25; 3.5 50 30 2.3 Sampling and analysis PO4-P, NH4-N were determined according to the Standard Methods. pH were measured by pH meter (Model: Sension 01 – Hach). The MAP crystal solid sediment was collected from the bottom of reactor by centrifuging at 3000 rpm for 10 min. The obtained MAP solid mixture was dissolved into an acidic solution (pH 2.66 H2SO4) after which the supernatant was collected. The pH of the supernatant was then increased to 10.5 to derive pure MAP crystal formation. Subsequently, the white crystals were recovered from the solution. 2.4 Statistical modeling The PO43--P in synthetically prepared wastewater was removed using struvite precipitation technology. A quadratic statistical modeling, response surface methodology (RSM), was applied to investigate the improvement availability for high-level removal of phosphorus by struvite precipitation. However, the general practice in determining the optimal conditions of struvite precipitation is by varying one parameter at one time while keeping the others constant. Such work is extremely laborious and time consuming. Therefore, the main purpose of this study was to develop, improve, and optimize struvite precipitation process using a response surface methodology optimization statistical model. 3. Results and discussion 3.1 Select the survey domain When studying the conditions for the formation of struvite it is shown that this process is influenced by many factors such as temperature, rate of stirring, concentration of substance. pH, Mg2+/PO43- and NH4+/PO43strongly influence the formation of struvite. In this study, these three factors has been chosen to calculate in the domain. The correlation between the coding value and real value is shown in Table 2 and the Eq(2). 225 Table 2: The coding value and empirical elements No Variable Symbol 1 2 3 pH Mg2+/PO43NH4+/PO43- X1 X2 X3 -1 8.5 1 1 Symbol encoding value 0 +1 9 9.5 1.25 1.5 2.25 3.5 3.2 Set up the model The coding value, design results with the experimental planning matrix are shown in Table 3. Table 3 consists 20 experiments corresponding to 20 different values of three factors pH, Mg 2+/PO43- and NH4+/PO43- and resulting precipitation volume corresponds to the above values. The effect to the three factors and the objective function (volume of precipitation obtained) were constructed by second order regression function for the objective function as Eq(2): 𝑘 𝑘 𝑘 𝑖=0 𝑖=0 𝑖=0 𝑌𝑖 = 𝛽0 + ∑ 𝛽𝑖 𝑥𝑖 + ∑ 𝛽𝑖𝑖 𝑥𝑖2 + ∑ 𝛽𝑖𝑗 𝑥𝑖 𝑥𝑗 (2) Yiis the objective function and also is the precipitation volume;𝛽0 is the coefficient of freedom;𝛽𝑖, 𝛽𝑖𝑖 , 𝛽𝑖𝑗 are parameterized vector model that are defined empirically. Statistics model is only meaningful and is use after satisfying statistical standards (Fisher). Table 3: Experimental matrix with three factors, pH, Mg2+/PO43-, NH4+/PO43No. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 pH Value 8.5 9.5 8.5 9.5 8.5 9.5 8.5 9.5 8.16 9.84 9 9 9 9 9 9 9 9 9 9 Symbol -1 +1 -1 +1 -1 +1 -1 +1 -1 +1 0 0 0 0 0 0 0 0 0 0 Mg2+/PO43Value 1 1 1.5 1.5 1 1 1.5 1.5 1.25 1.25 0.83 1.67 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 Symbol -1 -1 +1 +1 -1 -1 +1 +1 0 0 -1 +1 0 0 0 0 0 0 0 0 NH4+/PO43Value 1 1 1 1 3.5 3.5 3.5 3.5 2.25 2.25 2.25 2.25 0.15 4.35 2.25 2.25 2.25 2.25 2.25 2.25 Symbol -1 -1 -1 -1 +1 +1 +1 +1 0 0 0 0 -1 +1 0 0 0 0 0 0 Precipitation volume (g) 0.1189 0.1786 0.1322 0.1949 0.1490 0.1659 0.1867 0.2021 0.0555 0.1719 0.2159 0.1502 0.1912 0.3401 0.1392 0.1380 0.1569 0.1728 0.1623 0.1779 3.3 Analyze the meaning of the model with empirical Analysis of model fit and significance of the model was assessed by ANOVA analysis in Table 4 and correlation indiced in Table 5. The significance of the regression coefficients was determined by F standard, with value of p< 0.05 indicating significant regression coefficients. The data in Table 4 showed that the value of “Model-F-value” was 4.18 and the model was statistically significant with a reliability of 98.21% (p<0.0179). In addition, the F standard was 7.14 (p = 0.0251) which indicated that the model was compatible with the experiment. The results in the study had shown that these factors influenced the formation of the struvite. Table 5 showed the results of the analysis was fit and significance of the model with empirical data. The ANOVA results indicated that the R2 was of 78.99 %. 226 Table 4: Results of optimal ANOVA analysis Source Model A – pH B – Mg2+/PO43C – NH4+/PO43AB AC BC A2 B2 C2 Residual Lack of fit Pure error Total correlation Sum of Squares 0.042 8.993x10-3 3.582x10-6 7.951x10-3 2.812x10-7 1.015x10-3 2.453x10-4 6.063x10-3 2.315x10-4 0.016 0.011 9.908x10-3 1.388x10-3 0.054 df 9 1 1 1 1 1 1 1 1 1 10 5 5 19 Mean Square 4.719x10-3 8.993x10-3 3.582x10-6 7.591x10-3 2.812x10-7 1.015x10-3 2.453x10-4 6.063x10-3 2.315x10-4 0.016 1.130x10-3 1.982x10-3 2.776x10-4 F value 4.18 7.96 3.171x10-3 7.04 2.490x10-3 0.90 0.22 5.37 0.20 14.07 p value 0.0179 0.0181 0.9562 0.0242 0.9877 0.3656 0.6512 0.0430 0.6604 0.0038 7.14 0.0251 significant significant Table 5: Results of the analysis of the fit of the model with experiment Parameter Standard deviation Mean C.V.% Press Value 0.034 0.017 19.77 0.077 Parameter R – Squared Adj R – Squared Pred R – Squared Adeq Precision Value 0.7899 0.6008 -0.4355 9.917 Under the ratio condition of NH4+ /PO43- was of 2.25, the optimum precipitation volume of struvite was depended on the pH of the reaction environment and the ratio of the concentration of Mg2+/ PO43- as showed in Figure 1. In Figure 2, the optimum point had been obtained during the survey of the pH and ratio of NH4+ /PO43- under the condition of Mg2+/PO43- was set of 1.25 constant. The0.22 precipitation volume Optimum point KET TUA 0.1775 0.135 0.0925 0.05 9.50 1.50 9.25 1.38 9.00 1.25 2+ /PO43B: Mg Mg/PO4 8.75 1.13 1.00 A: pH 8.50 pH Figure 1: Surface response of pH & Mg2+/PO43- factors affected on the formation of struvite Optimum point The precipitation volume 0.35 KET TUA 0.275 0.2 3.50 0.125 2.88 0.05 2.25 C: NH4/PO4 NH + /PO 3- 8.50 4 8.75 4 1.63 9.00 9.25 pH 9.50 1.00 Figure 2: Surface response of pH& NH4+/PO43-factors affected on the formation of struvite 227 Similarly, to survey the precipitation of struvite follows the ratio of Mg2+/PO43- and the ratio of NH4+/PO43-, the experiment was carried out with the environment condition of pH was set of 9.00. The results of calculation response was showed in Figure 3 as follows: KET TUA 0.295 The precipitation volume Optimum point 0.24 0.185 0.13 1.00 1.13 3.50 1.25 B: Mg/PO4 Mg2+ /PO43- 2.88 2.25 1.38 1.63 1.50 1.00 + 3- 4 /PO4 C:NH NH4/PO4 Figure 3: Surface response of the Mg2+/PO43-& NH4+/PO43-factors affected on the formation of struvite From the above analysis values, the expected function values given by the DX7 software are expressed in Eq(3). 𝑌 = −7.0799 + 156675𝑋1 − 0.21575𝑋2 + 0.063683𝑋3 + 1.5 × 10−3 𝑋1 𝑋2 − 0.018020𝑋1 𝑋3 + 0.01772𝑋3 𝑋2 − 0.082042𝑋12 + 0.064134𝑋22 + 0.021256𝑋32 (3) Where Y is the expected precipitate; X1 is value of pH; X2 is value of Mg2+/PO43-;X3is value of NH4+/PO43-. 3.4 MAP recovery from wastewater For the solids tests, the sediments collected from the bottom of the process were purified using acid and alkali solutions. The properties of the recovered crystals were analyzed by the XRD analyses in Figure 4 and SEM showed in Figure 5. Figure 4: The X-ray diffraction analysis of the recovered crystals 228 The XRD pattern (position and intensity of the peaks) generated from the crystals matched the reference values, indicated that the precipitated crystals were MAP. The SEM analysis showed that the Struvite crystallized in the orthorhombic system and irregular-shaped. Crystals were in coarse shape and their size varied from couple of µm to several dozen of µm. Figure 5: SEM picture of the recovered crystals 4. Conclusion Using the mathematical model of experimental planning with surface response, the optimum concentration for the struvite precipitate medium was determined with three factors pH, Mg2+/PO43- and NH4+/PO43-. The three factors as well as the interaction between these factors affected on the process of creating struvite. This method also determined the optimum level of the three factors: pH was 9.0; the ratio of Mg2+/PO43-was 1.25 and the ratio of NH4+/PO43- was 4.35. The precipitation volume obtained with the optimum parameters was 0.3401g/300mLof the wastewater. References Carlsson H., Aspegren H., Lee N., Hilmer A., 1997, Calcium phosphate precipitation in biological phosphorus removal systems, Water Research,31(5), 047–1055. Doino V., Mozet K., Muhr H., Plasari E., 2011, Study on struvite precipitation in mechanically stirring fluidizedbed reactor, Chemical Engineering Transactions, 24, 679-684. Harrison M., Johns M., White E., Mehta C., 2011, Growth Rate Kinetics for Struvite Crystallisation, Chemical Engineering Transactions, 25, 309-314. Headley T.R., Huett D.O., Davison L., 2000, The removal of nutrients from plant nursery irrigation runoff in subsurface horizontal-flow wetlands, Water Scienceand Technology, 44 (11-12), 77–84. Marti N., Pastor L., Bouzas A., Ferrer J.,Seco A., 2010, Phosphorus recovery by struvite crystallization in WWTPs, Water Research, 41(7), 2371–2379. 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