From waste to energy: a closed-loop two-phase anaerobic digestion system for sustainable dairy wastewater management

The treatment of dairy wastewater (DW), characterized by high organic load and lipid/protein content, remains challenging due to the energy-intensive nature of aerobic processes and instability of anaerobic methods. This study developed a self-regulating two-phase anaerobic digestion (TPAD) system integrating an anaerobic baffled reactor (ABR) with an up-flow anaerobic sludge blanket (UASB) reactor. Sequential phase separation in the ABR enables microbial self-organization for staged lipid adsorption, protein denaturation, and hydrolysis-acidification, ensuring stable UASB input. Laboratory-scale operation achieved exceptional chemical oxygen demand (COD) removal (97.06-99.01%). Full-scale implementations across three Chinese provinces demonstrated robust performance, with COD removal of 78.13-93.46%, high methane content (83.20-83.94%), sludge reduction >75.00%, and reductions in energy consumption (64.71-85.03%) and greenhouse gas emissions (88.01-97.09%) compared to conventional systems. Microbial analysis confirmed functional spatial divergence. The TPAD system presents a regionally-proven, versatile, and scalable solution to transform DW management from a disposal cost into a biogas-generating process.

Authors

Institutions

Publication Details

Journal
Communications Engineering
Published
2025-12-09
DOI
https://doi.org/10.1038/s44172-025-00568-2
Citations
1
Primary Topic
Anaerobic Digestion and Biogas Production
Type
article
Field-Weighted Citation Impact
1.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From waste to energy: a closed-loop two-phase anaerobic digestion system for sustainable dairy wastewater management

Seul-Ah Ji, Xiaoling Guo, Yifan Ren, Fengzhi Jiang et al.
1 citations
Communications Engineering
Anaerobic Digestion and Biogas Production
1.01
article

From waste to energy: a closed-loop two-phase anaerobic digestion system for sustainable dairy wastewater management

Seul-Ah Ji, Xiaoling Guo, Yifan Ren, Fengzhi Jiang, Yanbiao Liu, Lei Li, Tangfu Xiao, Yutao Guo, Pingping Huang, Yuqi Gong
article en
1 citations

Abstract

The treatment of dairy wastewater (DW), characterized by high organic load and lipid/protein content, remains challenging due to the energy-intensive nature of aerobic processes and instability of anaerobic methods. This study developed a self-regulating two-phase anaerobic digestion (TPAD) system integrating an anaerobic baffled reactor (ABR) with an up-flow anaerobic sludge blanket (UASB) reactor. Sequential phase separation in the ABR enables microbial self-organization for staged lipid adsorption, protein denaturation, and hydrolysis-acidification, ensuring stable UASB input. Laboratory-scale operation achieved exceptional chemical oxygen demand (COD) removal (97.06-99.01%). Full-scale implementations across three Chinese provinces demonstrated robust performance, with COD removal of 78.13-93.46%, high methane content (83.20-83.94%), sludge reduction >75.00%, and reductions in energy consumption (64.71-85.03%) and greenhouse gas emissions (88.01-97.09%) compared to conventional systems. Microbial analysis confirmed functional spatial divergence. The TPAD system presents a regionally-proven, versatile, and scalable solution to transform DW management from a disposal cost into a biogas-generating process.

Communications EngineeringVol. 5(1)
Yunnan University (CN), Dalian University of Technology (CN), Guangzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 18%
Anaerobic Digestion and Biogas Production
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.