Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark.
Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark.
Water Res. 2021 Feb 15;190:116714. doi: 10.1016/j.watres.2020.116714. Epub 2020 Nov 30.
The objective of this paper is to use plant-wide modeling to assess the net impacts of varying sludge management strategies. Special emphasis is placed on effluent quality, operational cost and potential resource recovery (energy, nutrients). The study is particularly focused on a centralized bio-solids beneficiation facility (BBF), which enables larger, more capital intensive sludge management strategies. Potential barriers include the ability to process reject streams from multiple donor plants in the host plant. Cape Flats (CF) wastewater treatment works (WWTW) (Cape Town, South Africa) was used as a relevant test case since it is currently assessing to process sludge cake from three nearby facilities (Athlone, Mitchells Plain and Wildevoelvlei). A plant-wide model based on the Benchmark Simulation Model no 2 (BSM2) extended with phosphorus transformations was adapted to the CF design / operational conditions. Flow diagram and model parameters were adjusted to reproduce the influent, effluent and process characteristics. Historical data between January 2014 and December 2019 was used to compare full-scale measurements and predictions. Next, different process intensification / mitigation technologies were evaluated using multiple criteria. Simulation values for COD, TSS, VSS/TSS ratio, TN, TP, NH/NH, HPO4, NO alkalinity and pH fall within the interquartile ranges of measured data. The effects of the 2017 severe drought on influent variations and biological phosphorus removal are successfully reproduced for the entire period with dynamic simulations. Indeed, 80% of all dynamically simulated values are included within the plant measurement uncertainty ranges. Sludge management analysis reveals that flow diagrams with thermal hydrolysis pre-treatment (THP) result in a better energy balance in spite of having higher heat demands. The flow diagram with THP is able to i) increase biodegradability/solubility, ii) handle higher sludge loads, iii) change methanogenic microbial population and iv) generate lower solids volumes to dispose by improving sludge dewaterability. The study also reveals the importance of including struvite precipitation and harvesting (SPH) technology, and the effect that pH in the AD and the use of chemicals (NaOH, MgO) may have on phosphorus recovery. Model-based results indicate that the current aerobic volume in the water line (if properly aerated) would be able to handle the returns from the sludge line and the contribution of a granular partial nitritation/Anammox (PN/ANX) reactor on the overall nitrogen removal would be marginal. However autotrophic N denitrification generates a much lower sludge production and therefore increases AD treatment capacity. The study shows for the very first time in Africa how the use of a (calibrated) plant-wide model could assist water utilities to decide between competing plant layouts when upgrading a WWTW.
本文的目的是利用全厂建模来评估不同污泥管理策略的净影响。特别强调了出水质量、运营成本和潜在资源回收(能源、养分)。本研究特别关注集中式生物固体浓缩设施(BBF),它可以支持更大、更资本密集型的污泥管理策略。潜在的障碍包括处理来自宿主工厂中多个捐赠工厂的不合格流的能力。开普敦弗利特(CF)污水处理厂(南非开普敦)被用作相关的测试案例,因为它目前正在评估处理来自附近三个设施(阿特兰、米切尔平原和怀尔德沃夫利)的污泥饼。基于基准模拟模型 2(BSM2)并扩展了磷转化的全厂模型被改编为 CF 的设计/操作条件。流程图和模型参数进行了调整,以再现进水、出水和工艺特性。2014 年 1 月至 2019 年 12 月的历史数据用于比较全尺寸测量值和预测值。接下来,使用多种标准评估了不同的工艺强化/缓解技术。COD、TSS、VSS/TSS 比、TN、TP、NH/NH、HPO4、NO 碱度和 pH 的模拟值均在测量数据的四分位距内。动态模拟成功再现了 2017 年严重干旱对整个期间进水变化和生物除磷的影响。实际上,80%的动态模拟值都在工厂测量不确定性范围内。污泥管理分析表明,尽管热解预处理(THP)的流程图需要更高的热量需求,但它能实现更好的能量平衡。具有 THP 的流程图能够 i)提高生物降解性/溶解度,ii)处理更高的污泥负荷,iii)改变产甲烷微生物种群,iv)通过改善污泥脱水性能生成更少的固体体积进行处置。该研究还揭示了包括鸟粪石沉淀和收获(SPH)技术的重要性,以及 AD 中的 pH 和使用化学品(NaOH、MgO)对磷回收的影响。基于模型的结果表明,如果适当曝气,当前水线中的好氧体积将能够处理污泥线的回流以及颗粒部分硝化/厌氧氨氧化(PN/ANX)反应器对整体氮去除的贡献将微不足道。然而,自养反硝化产生的污泥产量要低得多,因此增加了 AD 处理能力。该研究首次在非洲展示了如何使用(校准)全厂模型来帮助水务公司在升级污水处理厂时在竞争的工厂布局之间做出决策。