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Application of dynamic models to estimate greenhouse gas emission by wastewater treatment plants of the pulp and paper industry

机译:动态模型在制浆造纸工业废水处理厂温室气体排放估算中的应用

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Greenhouse gas (GHG) emission in wastewater treatment plants of the pulp-and-paper industry was estimated by using a dynamic mathematical model. Significant variations were shown in the magnitude of GHG generation in response to variations in operating parameters, demonstrating the limited capacity of steady-state models in predicting the time-dependent emissions of these harmful gases. The examined treatment systems used aerobic, anaerobic, and hybrid—anaerobic/aerobic—biological processes along with chemical coagulation/flocculation, anaerobic digester, nitrification and denitrification processes, and biogas recovery. The pertinent operating parameters included the influent substrate concentration, influent flow rate, and temperature. Although the average predictions by the dynamic model were only 10 % different from those of steady-state model during 140 days of operation of the examined systems, the daily variations of GHG emissions were different up to ±30, ±19, and ±17 % in the aerobic, anaerobic, and hybrid systems, respectively. The variations of process variables caused fluctuations in energy generation from biogas recovery by ±16, ±17, and ±14 % in the three examined systems, respectively. The lowest variations were observed in the hybrid system, showing the stability of this particular process design.
机译:纸浆和造纸工业废水处理厂的温室气体排放量是使用动态数学模型估算的。结果表明,由于运行参数的变化,GHG的产生量也发生了显着变化,这表明稳态模型在预测这些有害气体随时间变化的排放量方面的能力有限。检查的处理系统使用了好氧,厌氧和混合(厌氧/好氧)生物过程,以及化学混凝/絮凝,厌氧消化池,硝化和反硝化过程以及沼气回收。相关的操作参数包括进水底物浓度,进水流速和温度。尽管在运行系统的140天中,动态模型的平均预测与稳态模型的平均预测仅相差10%,但GHG排放量的每日变化差异最大为±30%,±19%和±17%分别在需氧,厌氧和混合系统中。过程变量的变化分别导致在三个被检查系统中沼气回收产生的能量波动分别为±16%,±17%和±14%。在混合系统中观察到的变化最小,显示了此特定过程设计的稳定性。

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