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  • بهینه‌سازی فرایند انعقاد شیمیایی و انعقاد الکتریکی در تصفیه پساب پتروشیمی شهید تندگویان

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کد مقاله : JACR-2212-2070 (R2) بازدید : 223 صفحه: 38 - 47

10.30495/jacr.2023.1974259.2070

نوع مقاله: پژوهشی

بهینه‌سازی فرایند انعقاد شیمیایی و انعقاد الکتریکی در تصفیه پساب پتروشیمی شهید تندگویان

محورهای موضوعی : مهندسی شیمی

حمید رضا نورایی نیا 1 , سمیه طورانی 2

1 - دانشجوی کارشناسی ارشد گروه مهندسی شیمی، واحد ماهشهر، دانشگاه آزاد اسلامی، ماهشهر، ایران.
2 - استادیار گروه مهندسی شیمی، واحد ماهشهر، دانشگاه آزاد اسلامی، ماهشهر، ایران.

تاریخ دریافت : 1401/10/04 تاریخ پذیرش : 1402/02/17 تاریخ انتشار : 1402/09/01

کلید واژه: منگنز, انعقاد شیمیایی, انعقاد الکتریکی, کبالت,

چکیده مقاله :

در این پژوهش با روش سطح پاسخ، کارایی فرایند انعقاد شیمیایی و انعقاد الکتریکی در تصفیه پساب پتروشیمی شهید تندگویان، مدل‌سازی و بهینه‎سازی شد. ترکیب پساب پتروشیمی شهید تندگویان به‎کار رفته در این پژوهش، 20 تا ppm 60 کبالت و منگنز داشت. طراحی آزمایش با نرم‌افزار دیزاین اکسپرت انجام شد و همخوانی بسیار خوبی بین مدل و مشاهده های تجربی در بازده حذف کبالت و منگنز به دست آمد. بهترین کارایی حذف، با روش انعقاد شیمیایی در دما C° 25، سرعت هم زدن برابر با rpm 120، pH برابر با 6 و غلظت اولیه کبالت و منگنز برابر با ppm 20 و در زمان 90 دقیقه به دست آمد. در شرایط یادشده حدود ۸/۵۹ درصد کبالت و ۲/۵۷ درصد منگنز حذف شد. فرایند انعقاد الکتریکی برای تکمیل فرایند تصفیه پساب پتروشیمی شهید تندگویان پس از انعقاد شیمیایی به کارگرفته شد. عامل های بهینه در فرایند انعقاد الکتریکی برای حذف کبالت و منگنز شامل زمان تعادل ۴6 دقیقه، pH معادل با ۶ و ولتاژ 8/۲۵ ولت بود که تحت این شرایط بازده حذف با دو فرایند پی درپی انعقاد شیمیایی و انعقاد الکتریکی، ۳/۹۸ و 4/۹۶ درصد به ترتیب برای کبالت و منگنز به دست آمد.

چکیده انگلیسی:

In this research, using the response surface method, the efficiency of the chemical coagulation and electrocoagulation processes in the treatment of Shahid Tangyuan petrochemical wastewater was modeled and optimized. The composition of Shahid Tangyuan petrochemical wastewater containing 20-60 ppm of cobalt and manganese was used in this experiment. By employing Design Expert software, an excellent agreement was obtained between the model and experimental observations in the removal efficiency of cobalt and manganese. By using the chemical coagulation method at a temperature of 25 °C, a mixing speed of 120 rpm and time of 90 minutes, pH equal to 6, and initial concentration of 20 ppm for cobalt and manganese, the best removal efficiency of cobalt and manganese was 59.8 and 57.2%, respectively. The optimal parameters in the electrocoagulation process to remove cobalt and manganese were 46 minutes of equilibrium time, pH equal to 6, and voltage of 25.8 volts. The removal efficiency was 98.3% for cobalt and 96.4% for manganese by combined chemical coagulation and electrocoagulation processes.

منابع و مأخذ:


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_||_

  1. Shojaei S, Shojaei S. Optimization of process conditions in wastewater degradation process. Soft Computing Techniques in Solid Waste and Wastewater Management: Elsevier; 2021. doi: org/10.1016/B978-0-12-824463-0.00010-0
    2.
  2. Bazrafshan E, Mohammadi L, Ansari-Moghaddam A, Mahvi AH. Heavy metals removal from aqueous environments by electrocoagulation process–a systematic review. Journal of environmental health science and engineering. 2015;13:1-16. doi: org/10.1186/s40201-015-0233-8
    3.
  3. Swain K, Abbassi B, Kinsley C. Combined electrocoagulation and chemical coagulation in treating brewery wastewater. Water. 2020;12(3):726. doi: org/10.3390/w12030726
    4.
  4. Elazzouzi M, El Kasmi A, Haboubi K, Elyoubi M. A novel electrocoagulation process using insulated edges of Al electrodes for enhancement of urban wastewater treatment: Techno-economic study. Process Safety and Environmental Protection. 2018;116:506-15. doi: org/10.1016/j.psep.2018.03.006
    5.
  5. Prica M, Adamovic S, Dalmacija B, Rajic L, Trickovic J, Rapajic S, et al. The electrocoagulation/flotation study: The removal of heavy metals from the waste fountain solution. Process Safety and Environmental Protection. 2015;94:262-73. doi: org/10.1016/j.psep.2014.07.002
    6.
  6. Daud Z, Awang H, Nasir N, Ridzuan MB, Ahmad Z. Suspended solid, color, COD and oil and grease removal from biodiesel wastewater by coagulation and flocculation processes. Procedia-Social and Behavioral Sciences. 2015;195:2407-11. doi: org/10.1016/j.sbspro.2015.06.234
    7.
  7. Patel SR, Parikh SP. Statistical optimizing of electrocoagulation process for the removal of Cr (VI) using response surface methodology and kinetic study. Arabian Journal of Chemistry. 2020;13(9):7032-44. doi: org/10.1016/j.arabjc.2020.07.009
    8.
  8. AlJaberi FY, Hawaas ZA. Electrocoagulation removal of Pb, Cd, and Cu ions from wastewater using a new configuration of electrodes. MethodsX. 2023;10:101951. doi: org/10.1016/j.mex.2022.101951
    9.
  9. Tak B-y, Tak B-s, Kim Y-j, Park Y-j, Yoon Y-h, Min G-h. Optimization of color and COD removal from livestock wastewater by electrocoagulation process: Application of Box–Behnken design (BBD). Journal of industrial and engineering chemistry. 2015;28:307-15. doi: org/10.1016/j.jiec.2015.03.008
    10.
  10. Yang X, Lira CT. Adsorption equilibrium of benzaldehyde and benzyl alcohol onto polymeric resin from supercritical CO2. Adsorption. 2017;23:63-71. doi: org/10.1007/s10450-016-9819-4
    11.
  11. Fidaleo M, Miele NA, Armini V, Cavella S. Design space of the formulation process of a food suspension by D-optimal mixture experiment and functional data analysis. Food and Bioproducts Processing. 2021;127:128-38. doi: org/10.1016/j.fbp.2021.02.007
    12.
  12. Sharma P, Sharma AK. Application of response surface methodology for optimization of fuel injection parameters of a dual fuel engine fuelled with producer gas-biodiesel blends. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2021:1-18. doi: org/10.1080/15567036.2021.1892883
    13.
  13. Tiwari A, Sahu O. Treatment of food-agro (sugar) industry wastewater with copper metal and salt: chemical oxidation and electro-oxidation combined study in batch mode. Water resources and industry. 2017;17:19-25. doi: org/10.1016/j.wri.2016.12.001
    14.
  14. Rosenbaum ME. Dis-integration of communication in healthcare education: Workplace learning challenges and opportunities. Patient education and counseling. 2017;100(11):2054-61. doi.org/10.1016/j.pec.2017.05.035
    15.
  15. Alade IO, Abd Rahman MA, Saleh TA. Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm. Solar Energy. 2019;183:74-82. doi: org/10.1016/j.solener.2019.02.060
    16.
  16. Esonye C, Onukwuli OD, Ofoefule AU, Ogah EO. Multi-input multi-output (MIMO) ANN and Nelder-Mead’s simplex based modeling of engine performance and combustion emission characteristics of biodiesel-diesel blend in CI diesel engine. Applied Thermal Engineering. 2019;151:100-14. doi: org/10.1016/j.applthermaleng.2019.01.101
    17.
  17. Teymoori M, Jamali HA, Ghanbari R. Application of response surface methodology in the modeling of cadmium removal from aqueous environment by electrocoagulation process. The Journal of Qazvin University of Medical Sciences. 2017;21(2):66-78.
    18.

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