Life cycle assessment of anaerobic digestion system under ammonia inhibition: Evaluation of exogenous media addition

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Meiying Ye , Shuo Gao , Panpan Wang , Yufang Wei , Jiaqi Hou , Mingxiao Li , Yanping Liu , Ziyi Yang
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Abstract

Exogenous media addition in the ammonia-inhibited anaerobic digestion (AD) is considered as an efficient approach. Comprehensively evaluation of the environmental impact of adding exogenous media can provide the support on application. Under ammonia inhibition, life cycle assessment (LCA) was used to compare the AD system (Scenario 1) and the AD system with the addition of magnetite powder and polyurethane filler (Scenario 2). In the midpoint environmental impact assessment, among the 18 categories of environmental impacts, Scenario 2 performed the weak negative impact on the environment compared to the non-added scenario. Ionizing radiation and freshwater eutrophication in Scenario 2 were less than 50 % of those in Scenario 1. In the endpoint environmental impact assessment, the negative impacts on human health, ecosystems, and resource of Scenario 2 were lower than 82 % of those in the non-additive scenario. Monte Carlo simulation was used to carry out uncertain analysis and calculation, which effectively reduced the deviation brought by inventory analysis and improved the reliability of the analysis. The sensitivity analysis results showed that power input and power sources significantly affect environmental impacts. Reducing power input and using renewable or clean energy could decrease pollution levels. The scenario of adding exogenous media showed good environmental benefits, and subsequent optimization could focus on the aspects of power source (such as using green electricity) and power efficiency.
氨抑制下厌氧消化系统的生命周期评价:外源培养基添加的评价
在氨抑制厌氧消化(AD)中添加外源培养基被认为是一种有效的方法。对外源培养基的环境影响进行综合评价,为其应用提供依据。在氨抑制条件下,采用生命周期评价(LCA)对AD体系(场景1)和添加磁铁矿粉和聚氨酯填料(场景2)的AD体系进行了比较。在中点环境影响评价中,在18类环境影响中,情景2对环境的负面影响较弱。情景2的电离辐射和淡水富营养化低于情景1的50% %。在终点环境影响评估中,情景2对人类健康、生态系统和资源的负面影响低于非可加性情景的82% %。采用蒙特卡罗模拟进行不确定性分析计算,有效降低了库存分析带来的偏差,提高了分析的可靠性。灵敏度分析结果表明,电源输入和电源对环境影响有显著影响。减少电力输入和使用可再生能源或清洁能源可以降低污染水平。添加外源介质的场景表现出良好的环境效益,后续的优化可以从电源(如使用绿色电力)和电源效率等方面进行。
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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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