The pre-acidification gas impact on upgrading the biogas produced in expanded granular sludge bed reactor

Al-Rubaye, Haider; Smith, Joseph D.; Shivashankaraiah, Manohar Manchenahalli; Yu, Jia; Ghorbanian, Mahyar; Alembath, Anand; Al-Abedi, Hasan

doi:10.1080/17597269.2020.1772608

Cited by 2 publications

(1 citation statement)

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“…Previous research and experience of wastewater engineering have shown that pre-hydrolysis and pre-acidification before fully anaerobic biochemical treatment are beneficial of materials such as industrial organic wastewater derived from food, tanning, pulp, printing, dyeing, and pharmaceutical production ( Ahn et al, 2001 ; Diamantis and Aivasidis, 2018 ; Al-Rubaye et al, 2020 ; Wu et al, 2020 ). Because an anaerobic or facultative pre-treatment section with a relatively short HRT, before subsequent fully anaerobic treatment, can enhance the biodegradability of wastewater.…”

Section: Methodsmentioning

confidence: 99%

Modeling the Performance of Full-Scale Anaerobic Biochemical System Treating Deinking Pulp Wastewater Based on Modified Anaerobic Digestion Model No. 1

Huang

Wan

et al. 2021

Front. Microbiol.

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The deinking pulp (DIP) is a main resource for paper making, and the wastewater from DIP process needs to be treated. Anaerobic biochemical technique has been widely applied in DIP wastewater treatment, due to the remarkable capability in reducing high chemical oxygen demand (COD). In this study, a mathematical simulation model was established to investigate the performance of a full-scale anaerobic biochemical system for treating DIP wastewater. The model was based on Anaerobic Digestion Model No. 1 (ADM1), which was modified according to the specific anaerobic digestion process for DIP wastewater treatment. The hydrodynamic behavior of a full-scale anaerobic biochemical system was considered in this model. The characteristics of the influent DIP wastewater were assessed, and then, the substrate COD proportion was divided successfully for the necessity of ADM1 applying. The Monte Carlo technique was implemented to distinguish the most sensitive parameters that influenced the model output indicators comprising effluent COD and biogas production. The sensitive parameters were estimated and optimized. The optimized value of k_m_pro is 12.02, K_S_pro is 0.35, k_m_ac is 4.26, K_S_ac is 0.26, k_m_h2 is 16.62, and K_S_h2 is 3.21 × 10–5. The model was calibrated with 150 days operation values measured in the field. The subsequent 100 days on-site values were used to validate the model, and the results obtained by the simulations were in good agreement. This study provides a meaningful and theoretical model guidance for full-scale wastewater anaerobic biochemical treatment simulation.

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