Load ratio determines the ammonia recovery and energy input of an electrochemical system

被引：101
作者：
Arredondo, Mariana Rodriguez [1 ,2 ]
Kuntke, Philipp [1 ]
Ter Heijne, Annemiek [2 ]
Hamelers, Hubertus V. M. [1 ]
Buisman, Cees J. N. [1 ,2 ]
机构：
[1] Wetsus European Ctr Excellence Sustainable Water, Oostergoweg 9, NL-8911 MA Leeuwarden, Netherlands
[2] Wageningen Univ & Res, Sub Dept Environm Technol, Bornse Weilanden 9,POB 17, NL-6700 AA Wageningen, Netherlands
来源：
WATER RESEARCH | 2017年 / 111卷
关键词：
Nitrogen recovery; Ammonia removal; Electrochemical cell; TransMembraneChemiSorption (TMCS); Urine treatment; MICROBIAL ELECTROLYSIS CELLS; BIOELECTROCHEMICAL SYSTEMS; FUEL-CELLS; NITROGEN; URINE; REMOVAL; OPPORTUNITIES; NUTRIENTS; OXIDATION; MEMBRANES;
D O I：
10.1016/j.watres.2016.12.051
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Complete removal and recovery of total ammonia nitrogen (TAN) from wastewaters in (bio)electrochemical systems has proven to be a challenge. The system performance depends on several factors, such as current density, TAN loading rate and pH. The interdependence among these factors is not well understood yet: insight is needed to achieve maximum ammonium recovery at minimal energy input. The aim of this study was to investigate the influence of current density and TAN loading rate on the recovery efficiency and energy input of an electrochemical cell (EC). We therefore defined the load ratio, which is the ratio between the applied current and the TAN loading rate. The system consisted of an EC coupled to a membrane unit for the recovery of ammonia. Synthetic wastewater, with TAN concentration similar to urine, was used to develop a simple model to predict the system performance based on the load ratio, and urine was later used to evaluate TAN transport in a more complex wastewater. High fluxes (up to 433 gN m(-2) d(-1)) and recovery efficiencies (up to 100%) were obtained. The simple model presented here is also suited to predict the performance of similar systems for TAN recovery, and can be used to optimize their operation. (C) 2017 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：330 / 337
页数：8
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