School of Environment and Energy, South China University of Technology, Guangdong, Guangzhou, 510006, PR China.
China State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, PR China.
Chemosphere. 2023 Jul;329:138660. doi: 10.1016/j.chemosphere.2023.138660. Epub 2023 Apr 10.
Hydraulic retention time (HRT), as an important parameter in the wastewater treatment process, has a great impact on water quality and energy consumption. With the rapid advances in computer technology and deepened understanding of in microbial metabolism, a series of activated sludge models (ASMs) have been developed and applied in wastewater treatment. However, ASMs simulation based on the nexus of HRT, water treatment process, water quality and energy consumption has yet to be verified. In this study, HRT was creatively linked to water treatment process variation. And a novel combined process model (CPM) was developed based on the operational data and treatment performance data from 4 full-scale coking wastewater treatment processes. In the CPM, an array of biological treatment processes were represented by setting the HRT in respective treatment units of the anaerobic-oxic-hydrolytic & denitrification-oxic (A/O/H/O) process. The relationships between HRT, effluent quality and energy consumption were systematically analyzed. Results showed that: (i) for A/O/H/O process, the HRT of first oxic (O1) reactor has a key effect on the effluent water quality and energy consumption, while the impact of the anaerobic (A) reactor HRT was limited; (ii) the O/H/O process has a clear advantage in treating coking wastewater due to the carbon removal and detoxification function of O1 reactor; (iii) the lowest energy consumption (with the total system HRT below 210 h) to meet the biological effluent quality requirements (COD = 200 mg/L, TN = 50 mg/L) is 4.429 kWh/m. Since the CPM could effectively work out the optimal process configuration and break the boundaries between HRT and process variation, it has enormous potential to be extended to the design of other wastewater treatment processes.
水力停留时间（HRT）作为废水处理过程中的一个重要参数，对水质和能耗有很大的影响。随着计算机技术的快速发展和对微生物代谢的深入了解，一系列的活性污泥模型（ASM）已经被开发并应用于废水处理。然而，基于 HRT、水处理过程、水质和能耗之间的关系的 ASM 模拟尚未得到验证。在本研究中，HRT 被创造性地与水处理过程的变化联系起来。基于 4 个全规模焦化废水处理过程的运行数据和处理性能数据，开发了一种新的组合工艺模型（CPM）。在 CPM 中，通过在厌氧-好氧-水解/反硝化-好氧（A/O/H/O）工艺的各个处理单元中设置 HRT，来表示一系列生物处理过程。系统地分析了 HRT、出水水质和能耗之间的关系。结果表明：（i）对于 A/O/H/O 工艺，第一好氧（O1）反应器的 HRT 对出水水质和能耗有关键影响，而厌氧（A）反应器的 HRT 影响有限；（ii）O1 反应器的碳去除和解毒功能使 O/H/O 工艺在处理焦化废水方面具有明显优势；（iii）满足生物出水水质要求（COD=200mg/L，TN=50mg/L）的最低能耗（总系统 HRT 低于 210h）为 4.429kWh/m³。由于 CPM 可以有效地确定最佳工艺配置并打破 HRT 和工艺变化之间的界限，因此它具有扩展到其他废水处理工艺设计的巨大潜力。
