Application of a simplified ADM1 for full-scale anaerobic co-digestion of cattle slurry and grass silage: assessment of input variability

IF 6.1 2区 环境科学与生态学 Q2 ENGINEERING, ENVIRONMENTAL
Sofia Tisocco, Sören Weinrich, Gary Lyons, Michael Wills, Xinmin Zhan, Paul Crosson
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Abstract

Mathematical modeling of anaerobic digestion is a powerful tool to predict gas yields and optimize the process. The Anaerobic Digestion Model No. 1 (ADM1) is a widely implemented model for this purpose. However, modeling full-scale biogas plants is challenging due to the extensive substrate and parameter characterization required. This study describes the modification of the ADM1 through a simplification of individual process phases, characteristic components and required parameters. Consequently, the ability of the simplified model to simulate the co-digestion of grass silage and cattle slurry was evaluated using data from a full-scale biogas plant. The impacts of substrate composition (crude carbohydrate, protein and lipid concentration) and variability of carbohydrate degradability on simulation results were assessed to identify the most influential parameters. Results indicated that the simplified version was able to depict biogas and biomethane production with average model efficiencies, according to the Nash-Sutcliffe efficiency (NSE) coefficient, of 0.70 and 0.67, respectively, and was comparable to the original ADM1 (average model efficiencies of 0.71 and 0.63, respectively). The variability of crude carbohydrate, protein and lipid concentration did not significantly impact biogas and biomethane output for the data sets explored. In contrast, carbohydrate degradability seemed to explain much more of the variability in the biogas and methane production. Thus, the application of simplified models provides a reliable basis for the process simulation and optimization of full-scale agricultural biogas plants.

Abstract Image

简化 ADM1 在牛粪和青草青贮全规模厌氧共消化中的应用:对投入量变化的评估
厌氧消化数学模型是预测气体产量和优化工艺的有力工具。厌氧消化模型 1 号(ADM1)就是为此目的而广泛采用的模型。然而,由于需要对大量基质和参数进行特征描述,建立全规模沼气厂的模型极具挑战性。本研究介绍了通过简化各个工艺阶段、特征组件和所需参数对 ADM1 进行的修改。因此,本研究使用来自全规模沼气厂的数据,评估了简化模型模拟青贮饲料和牛粪联合消化的能力。评估了基质成分(粗碳水化合物、蛋白质和脂质浓度)和碳水化合物降解性变化对模拟结果的影响,以确定影响最大的参数。结果表明,简化版能够描述沼气和生物甲烷的生产,根据纳什-苏特克利夫效率(NSE)系数,平均模型效率分别为 0.70 和 0.67,与原始 ADM1 相当(平均模型效率分别为 0.71 和 0.63)。在所探讨的数据集中,粗碳水化合物、蛋白质和脂质浓度的变化对沼气和生物甲烷的产出没有显著影响。相比之下,碳水化合物的降解性似乎更能解释沼气和甲烷产量的变化。因此,简化模型的应用为全规模农业沼气厂的工艺模拟和优化提供了可靠的基础。
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来源期刊
Frontiers of Environmental Science & Engineering
Frontiers of Environmental Science & Engineering ENGINEERING, ENVIRONMENTAL-ENVIRONMENTAL SCIENCES
CiteScore
10.90
自引率
12.50%
发文量
988
审稿时长
6.1 months
期刊介绍: Frontiers of Environmental Science & Engineering (FESE) is an international journal for researchers interested in a wide range of environmental disciplines. The journal''s aim is to advance and disseminate knowledge in all main branches of environmental science & engineering. The journal emphasizes papers in developing fields, as well as papers showing the interaction between environmental disciplines and other disciplines. FESE is a bi-monthly journal. Its peer-reviewed contents consist of a broad blend of reviews, research papers, policy analyses, short communications, and opinions. Nonscheduled “special issue” and "hot topic", including a review article followed by a couple of related research articles, are organized to publish novel contributions and breaking results on all aspects of environmental field.
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