Flexible Electrochemical Stripping for Wastewater Ammonia Recovery with Real-Time Product Tunability

14 May 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Nitrogen in wastewater can be recovered to prevent negative environmental, human health, and economic impacts and to enable distributed chemical manufacturing. We developed novel flexible electrochemical stripping (FECS) for tunable recovery of ammonia/ammonium (total ammonia nitrogen, TAN) from urine as ammonium sulfate and aqueous ammonia. Batch and continuous experiments demonstrated that product speciation could be readily controlled by modifying electrochemical cell operation frequency, duration, and applied current without affecting TAN removal. During continuous experiments, FECS recovered ammonia solutions with concentrations similar to ready-to-use cleaners (1% and 2% aqueous ammonia (w/w) or 8.22 and 16.4 g/L TAN) and cleaner concentrates (5% aqueous ammonia (w/w) or 41.1 g/L TAN), as well as ammonium sulfate solutions between 5 and 18.4 g/L TAN, approaching commercial fertilizer concentrations (28.4 g/L TAN). Beyond modifying applied current, future process engineering and operating condition optimization should reduce energy consumption, increase recovery efficiency, and enhance economic viability of FECS. Our findings will enable development and deployment of electrochemical nitrogen recovery in contexts with varying needs for ammonia-based products, paving the way for circular economies that integrate distributed chemical manufacturing with sanitation systems.

Keywords

Urine
Electrodialysis
Nitrogen
Circular economy
Resource recovery
Product diversification
Membrane distillation

Supplementary materials

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Supplementary information for: Flexible Electrochemical Stripping for Wastewater Ammonia Recovery with Real-Time Product Tunability
Description
The supporting information includes text describing reactor setup and operation; tables describing influent and effluent streams, reactor component properties, statistical analysis of performance metrics, and product prices; equations for efficiencies and energy demand; and figures showing reactor setup, temporal trends in performance metrics and composition, and product prices.
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