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Information Journal Paper

Title

Modeling bacterial removal of H2S from sour water

Pages

  29-46

Abstract

 Research Subject: Sulfide removal from Sour water is essential, before reuse or release of Sour water into the environment. Regarding the high costs of traditional methods, Biological removal can be used as a reliable alternative. Research Approach: Biological sulfide removal from Sour water was investigated in a batch reactor using Thiobacillus sp. as a dominant species of a mixed culture. A conceptual model was developed to describe the process of H2S removal from Sour water in the batch reactor. The model considers H2S and O2 transfer between liquid and gas phases, biological oxidation of H2S to sulfate and elemental sulfur, and chemical oxidation of H2S to thiosulfate in the liquid phase. The governing equations were derived using the principles of mass conservation and biochemical reactions. Several batch runs were performed to obtain experimental data on the variation of sulfide, sulfate, thiosulfate, and oxygen concentrations in the sys tem as a function of time, and an algorithm was devised to use the method of Particle Swarm Optimization together with the numerical solution of the model equations to es timate biokinetic parameters. Additional batch runs under different conditions were performed to verify the accuracy of the model. These results indicated reasonable accuracy of the model to predict the performance of a batch reactor for the removal of H2S from Sour water. The novelty of this model is considering different pathways for sulfide oxidation which includes product selectivity. Main Results: The maxim specific oxygen uptake rate (SOUR=OUR/X) is one of the mos t important parameters in the evaluation of the biological activity of the microorganisms. The calculated value for this parameter was almos t constant (16 mg DO g-1 VSS min-1) during all sulfide oxidation tes ts indicating that the maximum specific oxidation capacity of the biomass is independent of substrate and biomass concentration. Results exhibited bacteria prefer to partially oxidized sulfide to elemental sulfur, however this preference is a function of dissolved oxygen and subs trate availability.

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    APA: Copy

    Fasihi, Mojtaba, & FAZAELIPOOR, MOHAMMAD HASSAN. (2019). Modeling bacterial removal of H2S from sour water. APPLIED RESEARCH IN CHEMICAL POLYMER ENGINEERING, 3(1 ), 29-46. SID. https://sid.ir/paper/267801/en

    Vancouver: Copy

    Fasihi Mojtaba, FAZAELIPOOR MOHAMMAD HASSAN. Modeling bacterial removal of H2S from sour water. APPLIED RESEARCH IN CHEMICAL POLYMER ENGINEERING[Internet]. 2019;3(1 ):29-46. Available from: https://sid.ir/paper/267801/en

    IEEE: Copy

    Mojtaba Fasihi, and MOHAMMAD HASSAN FAZAELIPOOR, “Modeling bacterial removal of H2S from sour water,” APPLIED RESEARCH IN CHEMICAL POLYMER ENGINEERING, vol. 3, no. 1 , pp. 29–46, 2019, [Online]. Available: https://sid.ir/paper/267801/en

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