Optimization of potassium (K) recovery via electrochemical precipitation of K-struvite upon magnesium addition in urine

Potassium (K)-struvite precipitation is a promising approach to K recovery but faces the critical challenge of co-precipitation of sodium (Na)-struvite mainly due to the addition of sodium hydroxide (NaOH) for pH adjustment. To avoid using NaOH, this study investigated the electrochemical addition of magnesium (Mg) and hydroxide ions for K-struvite recovery. Results showed that a high release rate of Mg and hydroxide ions in the electrolysis led to a Mg:Phosphorus (P) ratio higher than 1:1 and pH higher than 11.3, which however resulted in a decrease in the K recovery efficiency. Subsequent optimization experiments conducted in synthetic urine, diluted fivefold, maintained a process pH of 10.8 11.0, with a current density of 5 mA/cm 2 and an electrode spacing of 20 mm. Under these conditions, K recovery efficiency reached 38 %, while P recovery efficiency reached 93 % after 30 minutes of electrolysis. Compared to chemical precipitation methods, electrochemical recovery exhibited a 41 % increase in K recovery efficiency and a 153 % increase in K-struvite:Na-struvite molar ratio in the precipitates. Furthermore, a predictive model was developed to estimate optimal K recovery time and energy consumption, showcasing the effectiveness of electrochemical Mg addition in urine for high-efficiency K recovery. • Electrochemical precipitation enhances K recovery by reducing Na-struvite precipitation. • The optimal recovery time for P & K does not match in the electrochemical precipitation. • Low current density and urine dilution benefits simultaneous recovery of P and K. • A predictive model is developed for optimal K recovery time and energy consumption.

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Publication Details

Journal
Journal of environmental chemical engineering
Published
2024-09-16
DOI
https://doi.org/10.1016/j.jece.2024.114159
Primary Topic
Phosphorus and nutrient management
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimization of potassium (K) recovery via electrochemical precipitation of K-struvite upon magnesium addition in urine

Kangning Xu, Fangyu Lin, Min Zheng, Hui Li et al.
Journal of environmental chemical engineering
Phosphorus and nutrient management
article

Optimization of potassium (K) recovery via electrochemical precipitation of K-struvite upon magnesium addition in urine

Kangning Xu, Fangyu Lin, Min Zheng, Hui Li, Chengwen Wang
article en

Abstract

Potassium (K)-struvite precipitation is a promising approach to K recovery but faces the critical challenge of co-precipitation of sodium (Na)-struvite mainly due to the addition of sodium hydroxide (NaOH) for pH adjustment. To avoid using NaOH, this study investigated the electrochemical addition of magnesium (Mg) and hydroxide ions for K-struvite recovery. Results showed that a high release rate of Mg and hydroxide ions in the electrolysis led to a Mg:Phosphorus (P) ratio higher than 1:1 and pH higher than 11.3, which however resulted in a decrease in the K recovery efficiency. Subsequent optimization experiments conducted in synthetic urine, diluted fivefold, maintained a process pH of 10.8 11.0, with a current density of 5 mA/cm 2 and an electrode spacing of 20 mm. Under these conditions, K recovery efficiency reached 38 %, while P recovery efficiency reached 93 % after 30 minutes of electrolysis. Compared to chemical precipitation methods, electrochemical recovery exhibited a 41 % increase in K recovery efficiency and a 153 % increase in K-struvite:Na-struvite molar ratio in the precipitates. Furthermore, a predictive model was developed to estimate optimal K recovery time and energy consumption, showcasing the effectiveness of electrochemical Mg addition in urine for high-efficiency K recovery. • Electrochemical precipitation enhances K recovery by reducing Na-struvite precipitation. • The optimal recovery time for P & K does not match in the electrochemical precipitation. • Low current density and urine dilution benefits simultaneous recovery of P and K. • A predictive model is developed for optimal K recovery time and energy consumption.

Journal of environmental chemical engineeringVol. 12(5)
Sydney Water (AU), Beijing Forestry University (CN), UNSW Sydney (AU), Tsinghua University (CN)
National Natural Science Foundation of China
Clean water and sanitation
Openalex Percentile: Top 81%
Phosphorus and nutrient management
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