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Publikasjoner

Comparative evaluation of membrane stripping and air stripping for ammonia recovery from reject water

Vitenskapelig artikkel
Publiseringsår
2026
Tidsskrift
Journal of Water Process Engineering
Eksterne nettsted
DOI
Nasjonalt vitenarkiv
Forfattere
Bogna Śniatała, Christian Vogelsang, Pawel Konrad Krzeminski, Dominika Sobotka, Jacek Mąkinia Vis alle

Sammendrag

This study presents a direct experimental comparison of liquid-to-liquid membrane stripping (LLMS) and conventional air stripping for nitrogen (N) recovery from real reject water under controlled and comparable laboratory-scale conditions with reference to a full scale air stripping plant. By integrating laboratory experiments with real wastewater, model-based analysis and full-scale operational considerations, this study enables a critical assessment of LLMS as a viable alternative to the energy-intensive air stripping process. Although maximum N recovery mass transfer (kREC) values achieved in the air stripping system were lower than those observed for LLMS (12.9 d−1 vs 21.6 d−1), air stripping exhibited higher overall average performance, with mean kREC values of 8.1 ± 3.7 d−1 compared to 4.5 ± 6.7 d−1 for LLMS, but the observed values were highly variable depending on operational pH and temperature. The study demonstrated that differences in N recovery mass transfer between LLMS and air stripping arise from distinct transport mechanisms governing each process. A multi-criteria assessment focused on process performance, implementation feasibility, and environmental sustainability revealed that, while air stripping remains a robust and mature technology, LLMS offers greater implementation feasibility, process scalability, resource efficiency, emissions control and benefit per ton of recovered product. Although these findings position LLMS as a promising next-generation alternative for sustainable N recovery, future work should focus on long-term process stability, and developing robust predictive models applicable under realistic wastewater conditions.