| Issue |
E3S Web Conf.
Volume 670, 2025
2nd International Conference on the Agro-Environmental Nexus: Land, Water & Energy for Sustainable Development (IC-AEN 2025)
|
|
|---|---|---|
| Article Number | 04012 | |
| Number of page(s) | 6 | |
| Section | Environmental Engineering and Pollution Control for Agri-Food Chains | |
| DOI | https://doi.org/10.1051/e3sconf/202567004012 | |
| Published online | 01 December 2025 | |
Membrane bioreactors for slaughterhouse wastewater treatment in Shandong Province
1 University of Melbourne, Melbourne, Austraila
2 Palacký University Olomouc, Olomouc, Czech Republic
3 Bukhara State Medical Institute named after Abu Ali ibn Sino, Bukhara, Uzbekistan
4 Kuban State Agrarian University, Krasnodar, Russian Federation
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Slaughterhouse effluents in Shandong Province combine high concentrations of biodegradable organics, lipids, nitrogenous compounds, and suspended solids with strong diurnal variability, challenging conventional treatment trains. This article evaluates membrane bioreactor configurations as core process units for achieving stable discharge and reuse targets while managing energy demand and sludge production. Using open official statistics for 2012-2024 and a transparent mass-balance framework, three pathways are compared: anaerobic digestion coupled to an aerobic membrane bioreactor, anaerobic membrane bioreactor treating the full load, and aerobic membrane bioreactor with primary fat, oil, and grease removal. Indicators include removal of chemical oxygen demand, total nitrogen, and total phosphorus, specific energy use, membrane flux and recovery intervals, sludge yield, and levelized cost. Results show that anaerobic membrane bioreactor options deliver the highest energy recovery and lowest sludge yield but require polishing for nitrogen; aerobic membrane bioreactor achieves the most reliable nutrient removal at higher energy intensity, with hybrid trains balancing costs and compliance.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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