Environmental Performance of Nitrogen Recovery from Reject Water of Sewage Sludge Treatment Based on Life Cycle Assessment

IF 4.6 Q2 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Recycling Pub Date : 2023-04-13 DOI:10.3390/recycling8020043
A. Saud, J. Havukainen, Petteri Peltola, M. Horttanainen
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引用次数: 1

Abstract

Recovering and recycling nitrogen available in waste streams would reduce the demand for conventional fossil-based fertilizers and contribute toward food security. Based on life cycle assessment (LCA), this study aimed to evaluate the environmental performance of nitrogen recovery for fertilizer purposes from sewage sludge treatment in a municipal wastewater treatment plant (WWTP). Utilizing either air stripping or pyrolysis-derived biochar adsorbent, nitrogen was recovered from ammonium-rich reject streams generated during mechanical dewatering and thermal drying of anaerobically digested sewage sludge. A wide range of results was obtained between different scenarios and different impact categories. Biochar-based nitrogen recovery showed the lowest global warming potential with net negative GHG (greenhouse gas) emissions of −22.5 kt CO2,eq/FU (functional unit). Ammonia capture through air stripping caused a total GHG emission of 2 kt CO2,eq/FU; while in the base case scenario without nitrogen recovery, a slightly lower GHG emission of 0.2 kt CO2,eq/FU was obtained. This study contributes an analysis promoting the multifunctional nature of wastewater systems with integrated resource recovery for potential environmental and health benefits.
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基于生命周期评价的污泥处理废水氮回收的环境性能
回收和循环利用废物流中的氮将减少对传统化石肥料的需求,并有助于粮食安全。本研究基于生命周期评价(LCA)方法,对某城市污水处理厂污水污泥回收氮肥的环境性能进行了评价。利用空气提提或热解衍生的生物炭吸附剂,从厌氧消化污泥机械脱水和热干燥过程中产生的富氨废液中回收氮。在不同的情景和不同的影响类别之间获得了广泛的结果。以生物炭为基础的氮回收显示出最低的全球变暖潜势,净负温室气体排放量为- 22.5 kt CO2,当量/FU(功能单位)。气提捕氨造成的温室气体排放总量为2 kt CO2,eq/FU;而在没有氮回收的基本情景下,温室气体排放量略低,为0.2 kt CO2,eq/FU。本研究对污水处理系统的综合资源回收的多功能特性进行了分析,以获得潜在的环境和健康效益。
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来源期刊
Recycling
Recycling Environmental Science-Management, Monitoring, Policy and Law
CiteScore
6.80
自引率
7.00%
发文量
84
审稿时长
11 weeks
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