Application of SBR-MFC process in wastewater treatment at high-altitude areas of Xizang: research on MPC voltage boosting and stabilization strategies

The contradiction between the demand for plateau wastewater treatment and high energy consumption has become increasingly prominent, necessitating the development of efficient microbial fuel cells and the exploration of microbial communities adapted to high-altitude conditions. Based on an SBR-MFC platform established in the Qinghai-Xizang Plateau environment, this study addresses issues such as low output voltage, strong output randomness, and instability in series/parallel systems. For a high-gain DC/DC boost converter, a dual closed-loop model predictive control strategy is proposed. A closed-loop control function is constructed, taking the output voltage and excitation inductor current as controlled variables. By feeding back and correcting prediction and real-time detection errors, the corresponding operating mode is selected to achieve dynamic regulation of the duty cycle. Using simulation software, analyses were conducted for MFC and MFCs output conditions of 3.3 V and 4.8 V. Parameters such as overshoot, operating duration, steady-state proportion, and efficiency under different schemes were compared to validate the effectiveness of the control strategy. Additionally, the platform achieved removal rates of 57.88% for COD, 65.21% for TN, and 30.36% for TP. Microbial community analysis indicated a succession toward electroactive genera such as Clostridium and Pseudomonas, contributing to the exploration of dominant microbial populations in MFCs applied in the Qinghai-Xizang Plateau region.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-12-09
DOI
https://doi.org/10.1038/s41598-025-30944-z
Primary Topic
Microbial Fuel Cells and Bioremediation
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Application of SBR-MFC process in wastewater treatment at high-altitude areas of Xizang: research on MPC voltage boosting and stabilization strategies

Xuezheng Quan, Kaiyue Hao, Kaisai Zang, Chongyu Cui et al.
Scientific Reports
Microbial Fuel Cells and Bioremediation
article

Application of SBR-MFC process in wastewater treatment at high-altitude areas of Xizang: research on MPC voltage boosting and stabilization strategies

Xuezheng Quan, Kaiyue Hao, Kaisai Zang, Chongyu Cui, Jing Bai, Y. Zong
article en

Abstract

The contradiction between the demand for plateau wastewater treatment and high energy consumption has become increasingly prominent, necessitating the development of efficient microbial fuel cells and the exploration of microbial communities adapted to high-altitude conditions. Based on an SBR-MFC platform established in the Qinghai-Xizang Plateau environment, this study addresses issues such as low output voltage, strong output randomness, and instability in series/parallel systems. For a high-gain DC/DC boost converter, a dual closed-loop model predictive control strategy is proposed. A closed-loop control function is constructed, taking the output voltage and excitation inductor current as controlled variables. By feeding back and correcting prediction and real-time detection errors, the corresponding operating mode is selected to achieve dynamic regulation of the duty cycle. Using simulation software, analyses were conducted for MFC and MFCs output conditions of 3.3 V and 4.8 V. Parameters such as overshoot, operating duration, steady-state proportion, and efficiency under different schemes were compared to validate the effectiveness of the control strategy. Additionally, the platform achieved removal rates of 57.88% for COD, 65.21% for TN, and 30.36% for TP. Microbial community analysis indicated a succession toward electroactive genera such as Clostridium and Pseudomonas, contributing to the exploration of dominant microbial populations in MFCs applied in the Qinghai-Xizang Plateau region.

Scientific ReportsVol. 16(1)
Tibet University (CN), Universidad de Alcalá (ES), Xi'an University of Technology (CN), Department of Animal Husbandry (IN)
China Scholarship Council, Universidad de Alcalá
Openalex Percentile: Top 63%
Microbial Fuel Cells and Bioremediation
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.