Department of Chemical Engineering, Faculty of Engineering Technology, Al-Balqa Applied University, Amman, 11134, Jordan.
Department of Civil Engineering, School of Engineering, University of Jordan, Amman, 11942, Jordan.
Environ Sci Pollut Res Int. 2024 Mar;31(13):20434-20448. doi: 10.1007/s11356-024-32458-z. Epub 2024 Feb 20.
The integrated electrocoagulation-assisted adsorption (ECA) system with a solar photovoltaic power supply has gained more attention as an effective approach for reduction chemical oxygen demand (COD) from pharmaceutical wastewater (PhWW). In this research, the ECA system was used for the treatment of PhWW. Several operating parameters were investigated, including electrode number, configuration, distance, operating time, current density, adsorption time, and temperature. A current density of 6.656 mA/cm, six electrodes, a 20-min time, a 4 cm distance, an MP-P configuration, and a 45 °C temperature produced the maximum COD reductions, where the operating cost of conventional energy was 0.273 $/m. The EC, adsorption, and combination of EC and adsorption processes achieved efficient COD reductions of 85.4, 69.1, and 95.5%, respectively. The pseudo-second-order kinetic model and the Freundlich isotherm fit the data of the endothermic adsorption process. Therefore, it was found that the combination processes were superior to the use of these processes in isolation to remove COD.
带太阳能光伏供电的集成电凝聚辅助吸附（ECA）系统作为一种从制药废水中（PhWW）降低化学需氧量（COD）的有效方法，受到了更多的关注。本研究采用 ECA 系统处理 PhWW。考察了几种操作参数，包括电极数量、配置、距离、运行时间、电流密度、吸附时间和温度。电流密度为 6.656 mA/cm、六个电极、20 分钟的时间、4 cm 的距离、MP-P 配置和 45°C 的温度可实现最大 COD 去除率，其中常规能源的运行成本为 0.273 美元/m³。EC、吸附和 EC 与吸附的组合过程分别实现了 85.4%、69.1%和 95.5%的高效 COD 去除率。准二级动力学模型和 Freundlich 等温线拟合了该吸热吸附过程的数据。因此，发现组合过程优于单独使用这些过程去除 COD。
