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Microbial fuel cell for oilfield produced water treatment and reuse: Modelling and process optimization
Korean Journal of Chemical Engineering ( IF 2.9 ) Pub Date : 2021-01-01 , DOI: 10.1007/s11814-020-0674-3
Majid Mohammadi , Mehdi Sedighi , Rajamohan Natarajan , Sedky Hassan Aly Hassan , Mostafa Ghasemi

Oilfield produced water is one of the vast amounts of wastewater that pollute the environment and cause serious problems. In this study, the produced water was treated in a microbial fuel cell (MFC), and response surface methodology and central composite design (RSM/CCD) were used as powerful tools to optimize the process. The results of two separate parameters of sulfonated poly ether ether ketone (SPEEK) as well as nanocomposite composition (CNT/Pt) on the chemical oxygen demand (COD) removal and power generation were discussed. The nanocomposite was analyzed using XRD, SEM, and TEM. Moreover, the degree of sulfonation (DS) was measured by NMR. A quadratic model was utilized to forecast the removal of COD and power generation under distinct circumstances. To obtain the maximum COD removal along with maximum power generation, favorable conditions were achieved by statistical and mathematical techniques. The findings proved that MFC could remove 92% of COD and generate 545 mW/m 2 of power density at optimum conditions of DS=80; and CNT/Pt of 14 wt% CNT- 86 wt% Pt.

中文翻译:

用于油田采出水处理和回用的微生物燃料电池:建模和工艺优化

油田采出水是大量污染环境、造成严重问题的废水之一。在这项研究中,采出水在微生物燃料电池 (MFC) 中进行处理,响应面方法和中心复合设计 (RSM/CCD) 被用作优化过程的有力工具。讨论了磺化聚醚醚酮 (SPEEK) 和纳米复合材料组合物 (CNT/Pt) 的两个独立参数对化学需氧量 (COD) 去除和发电的影响。使用 XRD、SEM 和 TEM 分析纳米复合材料。此外,磺化度(DS)通过NMR测量。使用二次模型来预测不同情况下 COD 的去除和发电量。为了获得最大的 COD 去除率和最大的发电量,有利条件是通过统计和数学技术实现的。结果证明,在DS=80的最佳条件下,MFC可以去除92%的COD并产生545 mW/m 2 的功率密度;和 CNT/Pt 为 14 wt% CNT-86 wt% Pt。
更新日期:2021-01-01
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