Independent Researcher, Montreal, Quebec, Canada.
Environmental Engineering, Department of Civil Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai Campus, Hat Yai, Thailand.
J Air Waste Manag Assoc. 2019 Dec;69(12):1429-1437. doi: 10.1080/10962247.2019.1645761. Epub 2019 Oct 28.
Biogas containing HS has limited use in electricity and heat production as HS can be corrosive to metal equipment. Bio-filtration has proved to be a suitable technology for biogas desulfurization because of economical and environmental benefits over physicochemical techniques. In the present study, a response surface methodology using 3 full factorial design was employed to determine the effects of two operating parameters, namely empty bed retention time (EBRT: 100-180 sec) and liquid recirculation velocity (LRV: 2.4-7.1 m m h) on HS removal efficiency (%) in single-stage and triple-stage bio-trickling filters (SBTF and TBTF) treating an HS-rich biogas. Quadratic model was found to be the best predictive model for HS removal efficiency. The results indicated that HS removal efficiency was significantly influenced by the synergistic effect of linear terms of EBRT and LRV with a greater effect associated with EBRT. However, the quadratic term of LRV had an antagonistic effect. The quadratic term of EBRT and cross-product term between EBRT and LRV did not exhibit a significant effect on HS removal efficiency. The predicted values from the established models showed a close agreement with the experimental data with the coefficient of determination (R) of 0.99 for HS removal efficiency in both SBTF and TBTF. Response analysis demonstrated that the performance of TBTF was superior compared to SBTF. Bio-trickling filter technology has gained a lot of attention for biogas desulfurization because it is economically and environmentally superior over chemical methods. Empty bed retention time (EBRT) and liquid recirculation velocity (LRV) are crucial variables influencing the performance of bio-trickling filters. In this work, the authors established a model that can properly predict HS removal efficiency in a single/triple bio-trickling filter (SBTF and TBTF) treating HS-rich biogas with regard to the individual and interaction effects between EBRT and LRV. Analysis with the help of response surface methodology indicated that TBTF was more efficient compared to SBTF for HS removal.
沼气中含有 H2S,其在发电和供热方面的应用受到限制,因为 H2S 会对金属设备造成腐蚀。生物过滤因其在经济和环境效益方面优于物理化学技术,已被证明是一种适合沼气脱硫的技术。在本研究中,采用 3 全因子设计的响应面法来确定两个操作参数(空床保留时间(EBRT:100-180 秒)和液体再循环速度(LRV:2.4-7.1 m m h))对单级和三级生物滴滤器(SBTF 和 TBTF)处理富含 H2S 的沼气时 H2S 去除效率(%)的影响。发现二次模型是 H2S 去除效率的最佳预测模型。结果表明,H2S 去除效率受到 EBRT 和 LRV 的线性项协同作用的显著影响,与 EBRT 相比,这种影响更大。然而,LRV 的二次项具有拮抗作用。EBRT 的二次项和 EBRT 与 LRV 的交叉乘积项对 H2S 去除效率没有显著影响。所建立模型的预测值与实验数据吻合较好,SBTF 和 TBTF 中 H2S 去除效率的决定系数(R)均为 0.99。响应分析表明,与 SBTF 相比,TBTF 的性能更优。生物滴滤技术因其在经济和环境效益方面优于化学方法,已引起人们对沼气脱硫的广泛关注。空床保留时间(EBRT)和液体再循环速度(LRV)是影响生物滴滤器性能的关键变量。在这项工作中,作者建立了一个模型,可以针对 EBRT 和 LRV 之间的个体和相互作用,正确预测单级/三级生物滴滤器(SBTF 和 TBTF)处理富含 H2S 的沼气时 H2S 的去除效率。借助响应面法的分析表明,与 SBTF 相比,TBTF 更有利于 H2S 的去除。