Open-Source Anaerobic Digestion Modeling Platform, Anaerobic Digestion Model No. 1 Fast (ADM1F)

被引:0
|
作者
Zhu, Kuang [1 ]
Zhang, Wenjuan [2 ]
Jafarov, Elchin [3 ]
Karra, Satish [3 ]
Solander, Kurt [3 ]
Demirtas, Meltem Urgun [4 ]
Raskin, Lutgarde [1 ]
Skerlos, Steven [1 ,5 ]
机构
[1] Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI 48105 USA
[2] Univ Colorado Denver, Dept Math & Stat Sci, Denver, CO USA
[3] Los Alamos Natl Lab, Computat Earth Sci Grp, Los Alamos, NM USA
[4] Argonne Natl Lab, Appl Mat Div, Lemont, IL USA
[5] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48104 USA
关键词
anaerobic co-digestion; anaerobic digestion model; digester stability; numerical methods; CHAIN FATTY-ACIDS; WASTE-WATER; CO-DIGESTION; PARAMETER-ESTIMATION; MEMBRANE BIOREACTOR; TECHNOLOGY; SIMULATIONS; INHIBITION; SYSTEMS; SLUDGE;
D O I
10.1002/bit.28906
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
An open-source modeling platform, called Anaerobic Digestion Model No. 1 Fast (ADM1F), is introduced to achieve fast and numerically stable simulations of anaerobic digestion processes. ADM1F is compatible with an iPython interface to facilitate model configuration, simulation, data analysis, and visualization. Faster simulations and more stable results are accomplished by implementing an advanced open-source library of numerical methods called Portable Extensive Toolkit for Scientific Computation (PETSc) to solve the ADM1 system of equations. Leveraging PETSc, ADM1F can consistently complete a steady-state simulation under 0.2 s, over 99% faster than a benchmark ADM1 model implemented with MATLAB while achieving agreement of model outputs within 1% of those obtained with the benchmark model. For dynamic simulations, however, ADM1F has a computational speed advantage only when the influent characteristics update more frequently than every 4 h. The ability of ADM1F to be useful as a tool to study anaerobic digestion systems is demonstrated through two example implementations of ADM1F: (1) a two-phase co-digestion scenario evaluating the impact of the organic loading rate and the substrate composition on reactor performance and stability, and (2) a conventional digester scenario assessing the effectiveness of recovery strategies after disruptions that led to instability. These examples demonstrate how the high simulation speed and the convenience of the iPython interface allow ADM1F to complete complex analyses within minutes, much faster than computational strategies currently reported in the literature.
引用
收藏
页码:792 / 803
页数:12
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