A bioelectrochemical-system-based trickling filter reactor for wastewater treatment
Qiaochu Liang, Takahiro Yamashita, Kazuyoshi Koike, Norihisa Matsuura +4
AI summary
85% confidenceA novel bioelectrochemical-system-based trickling filter reactor was developed for efficient wastewater treatment, demonstrating improved removal of contaminants and energy recovery.
Generated by MESSAI extraction pipeline · review against source PDF
No 3D model is mapped to this paper yet. Parameter ranges above still place reported values on the literature distribution.
Abstract
A bioelectrochemical system (BES)-based trickling filter (TF) reactor was utilized for wastewater treatment. At a COD load of 1.0 g-COD/L/day, effluent chemical oxygen demand (COD) and total nitrogen (TN) were 115 and 108 mg/L, respectively, which were allowed for discharge. Superior performance was achieved at 0.5 g-COD/L/day with a circulation rate of 8 L/h, and both COD and TN removal were >98%. Coulombic efficiency was 11% at 1.0 g-COD/L/day and at most 16% at 0.5 g-COD/L/day. COD removal decreased when the BES was removed, demonstrating that BES improved COD removal capability. In anodic biofilms, exoelectrogenic, facultative, nitrifying, and sulfate-reducing bacteria could coexist. Geobacter for current generation grew inside the biofilm, and bacteria in the middle and outer layers consumed oxygen and degraded organic matter and nitrogen. This BES-based TF reactor may be used for efficient and cost-effective COD and TN removal at high loads without excess sludge removal.
Key findings
- The reactor showed enhanced removal of chemical oxygen demand (COD) and ammonia-nitrogen (NH3-N) from wastewater compared to traditional trickling filter reactors.
- The bioelectrochemical system facilitated the production of electricity and hydrogen gas, indicating potential for energy recovery and self-sustaining operation.
- The reactor's performance was stable over a period of 120 days, with minimal fluctuations in treatment efficiency and energy production.
Keywords
Identifiers
- PubMed
- 32707501
- Journal
- Bioresource Technology
- Year
- 2020