The Anaerobic Digestion Model No.1(ADM1)has been modified to include enhanced kinetic parameters,which more precisely simulate methane production during the anaerobic digestion of diverse organic solid wastes.Calibrat...The Anaerobic Digestion Model No.1(ADM1)has been modified to include enhanced kinetic parameters,which more precisely simulate methane production during the anaerobic digestion of diverse organic solid wastes.Calibration and validation of the model were achieved using experimental data from batch fermentation processes.Simulations of the updated ADM1 were conducted using AQUASIM 2.0 software.Sensitivity analysis helped identify and assess the most critical kinetic parameters affecting biogas production.Key parameters such as the microorganism decay constant(d^(-1)),disintegration rate constant(d^(-1)),Monod maximum specific substrate uptake rate(gCOD/gVSS·d),and half⁃saturation constants were found to significantly influence biogas yield.The optimal values for these parameters were identified as 0.03,6.07,3.64,and 0.27,respectively.These optimized values were validated through batch experiments.The modified ADM1 successfully predicted methane production,achieving R2 values greater than 0.8 in all validation trials.Key methanogens,Methanosarcina and Methanosaeta,were identified,and their enrichment during mixed fermentation of various organic solid wastes indicated enhanced methane production via aceticlastic methanogenesis.The microbial characterization and simulations using the modified ADM1 model supported each other.展开更多
厌氧消化1号模型(Anaerobic Digestion Model No.1,ADM1)量化表达了厌氧发酵过程中各类物质的转化过程,在研究和咨询领域获得了广泛的发展和应用,但ADM1并没有过多考虑物理化学过程,这些物化过程虽然并不直接经由微生物发生,但它们却可...厌氧消化1号模型(Anaerobic Digestion Model No.1,ADM1)量化表达了厌氧发酵过程中各类物质的转化过程,在研究和咨询领域获得了广泛的发展和应用,但ADM1并没有过多考虑物理化学过程,这些物化过程虽然并不直接经由微生物发生,但它们却可以影响生化过程。通过建立ADM1气液转换模型,并基于生物甲烷潜力(BMP)测试建立液相气体浓度变化映射函数,将多元隐性模型转化为k_(L)a的显性模型,基于对k_(L)a参数的实时测算,对序批式投料的CSTR反应器搅拌装置设置变频激励机制,提高气液转换效率,促进沼气的快速逸出。经撬装CSTR中试设备连续实验测试,该智能控制模型相比传统运行方式容积产气率提升15.5%,对提升规模化沼气工程的生产效率具有显著的指导和应用价值。基于边云协同的智能控制为规模化生物燃气项目的智慧管控提供了全新的技术范式。展开更多
从谱反演基本原理出发,推导出多层稀疏反射系数目标函数,利用基追踪交替方向法(Alternating Direction Method,ADM)谱反演算法求取高精度反射系数,与谱模拟解析法提取的宽频子波褶积重构,得到保持低频信息的高分辨率剖面,利用改进型特...从谱反演基本原理出发,推导出多层稀疏反射系数目标函数,利用基追踪交替方向法(Alternating Direction Method,ADM)谱反演算法求取高精度反射系数,与谱模拟解析法提取的宽频子波褶积重构,得到保持低频信息的高分辨率剖面,利用改进型特征值相干体算法对此剖面进行裂缝预测。理论测试和实际资料应用结果表明,ADM谱反演高分辨率技术能得到极性、位置准确性较高的反射系数,而重构后的宽频剖面分辨率明显提高、同相轴连续性更好、断点更清晰、断层更明了,相干体切片精度更高、细节刻画更清晰,可作为裂缝预测的重要技术手段。展开更多
基金Sponsored by Power China Eco-Environment Group Technology Project (Grant No.ST-ZB-ZC-JY-JS-2022-25)Heilongjiang Key Research and Development Program (Grant No.GA21C025)+1 种基金Technological Project of Heilongjiang Province"the open competition mechanism to select the best candidates"Foundation of National Local Joint Engineering Research Center for Biomass Energy Development and Utilization (Grant No.2021B006).
文摘The Anaerobic Digestion Model No.1(ADM1)has been modified to include enhanced kinetic parameters,which more precisely simulate methane production during the anaerobic digestion of diverse organic solid wastes.Calibration and validation of the model were achieved using experimental data from batch fermentation processes.Simulations of the updated ADM1 were conducted using AQUASIM 2.0 software.Sensitivity analysis helped identify and assess the most critical kinetic parameters affecting biogas production.Key parameters such as the microorganism decay constant(d^(-1)),disintegration rate constant(d^(-1)),Monod maximum specific substrate uptake rate(gCOD/gVSS·d),and half⁃saturation constants were found to significantly influence biogas yield.The optimal values for these parameters were identified as 0.03,6.07,3.64,and 0.27,respectively.These optimized values were validated through batch experiments.The modified ADM1 successfully predicted methane production,achieving R2 values greater than 0.8 in all validation trials.Key methanogens,Methanosarcina and Methanosaeta,were identified,and their enrichment during mixed fermentation of various organic solid wastes indicated enhanced methane production via aceticlastic methanogenesis.The microbial characterization and simulations using the modified ADM1 model supported each other.
文摘厌氧消化1号模型(Anaerobic Digestion Model No.1,ADM1)量化表达了厌氧发酵过程中各类物质的转化过程,在研究和咨询领域获得了广泛的发展和应用,但ADM1并没有过多考虑物理化学过程,这些物化过程虽然并不直接经由微生物发生,但它们却可以影响生化过程。通过建立ADM1气液转换模型,并基于生物甲烷潜力(BMP)测试建立液相气体浓度变化映射函数,将多元隐性模型转化为k_(L)a的显性模型,基于对k_(L)a参数的实时测算,对序批式投料的CSTR反应器搅拌装置设置变频激励机制,提高气液转换效率,促进沼气的快速逸出。经撬装CSTR中试设备连续实验测试,该智能控制模型相比传统运行方式容积产气率提升15.5%,对提升规模化沼气工程的生产效率具有显著的指导和应用价值。基于边云协同的智能控制为规模化生物燃气项目的智慧管控提供了全新的技术范式。
文摘从谱反演基本原理出发,推导出多层稀疏反射系数目标函数,利用基追踪交替方向法(Alternating Direction Method,ADM)谱反演算法求取高精度反射系数,与谱模拟解析法提取的宽频子波褶积重构,得到保持低频信息的高分辨率剖面,利用改进型特征值相干体算法对此剖面进行裂缝预测。理论测试和实际资料应用结果表明,ADM谱反演高分辨率技术能得到极性、位置准确性较高的反射系数,而重构后的宽频剖面分辨率明显提高、同相轴连续性更好、断点更清晰、断层更明了,相干体切片精度更高、细节刻画更清晰,可作为裂缝预测的重要技术手段。
