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ADM1模型对生物强化厌氧产甲烷体系的模拟 被引量:3

Simulation of anaerobic digestion based on bioaugmentation by ADM1
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摘要 利用厌氧消化1号模型(ADM1)对高氨氮条件下生物强化促进厌氧消化产甲烷体系进行模拟,对原始ADM1参数进行修正,进而对修正模型进行验证.基于生物强化对厌氧消化产甲烷过程影响的实验数据,结合敏感度分析及参数意义,提出3种假设,选择乙酸半饱和系数(ksac)、最大比乙酸降解速率系数(kmac)和氨氮抑制参数(KINH3,Xac)对原始ADM1进行修正.模拟结果表明,3种修正模型均可对生物强化过程进行较准确的描述,其中,修正kmac后的模型(ADM1_kmac)对甲烷产量和挥发性脂肪酸的拟合优度最高(R^2>0.87),说明在此过程中对kmac的修正更有意义.模型验证表明,修正后的ADM1_kmac模型可对生物强化技术强化厌氧消化产甲烷过程进行描述、分析及预测. Based on the promotion of anaerobic digestion by bioaugmentation under high ammonia concentration,modification and verification of Anaerobic Digestion Model NO.1(ADM1)was studied to simulate the process.The experimental data showed that methane production was increased with different bioaugmentation approaches.Considering the result of sensitivity analysis and parameter definition,three hypotheses were established and related parameters(Monod half saturation constant for acetate:ksac;Monod maximum uptake rate of acetate:km ac and ammonia nitrogen inhibition constant:KINH 3,Xac)were chosen to be modified.The simulation results showed that three modified models could accurately describe the bioaugmentation process.Especially,ADM1with modifying kmac(ADM1_kmac)performed the best representation on describing methane production and volatile fatty acids,with the highest goodness-of-fit values(R^2>0.87),indicating that the modification of km ac was worthwhile for bioaugmentation process.Verification of modified models further demonstrated that ADM1_km ac could be regarded as a suitable model to simulate,analyze and predict the process of bioaugmentation-anaerobic digestion system.
作者 孙航宇 杨紫怡 李潇男 刘广青 王雯 SUN Hang-yu;YANG Zi-yi;LI Xiao-nan;LIU Guang-qing;WANG Wen(Biomass Energy and Environmental Engineering Research Center,Beijing University of Chemical Technology,Beijing 100029,China)
出处 《中国环境科学》 EI CAS CSCD 北大核心 2020年第3期1049-1058,共10页 China Environmental Science
基金 国家重点研发计划项目(2017YFE0133300) 北京市自然科学基金资助项目(8182040)。
关键词 ADM1 生物强化 厌氧消化 甲烷 最大比降解速率系数 ADM1 bioaugmentation anaerobic digestion methane monod maximum uptake rate
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