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作 者:Sofia Tisocco Sören Weinrich Gary Lyons Michael Wills Xinmin Zhan Paul Crosson
机构地区:[1]Civil Engineering,College of Science and Engineering,University of Galway,Galway,H91 TK33,Ireland [2]Teagasc Animal and Bioscience Research Department,Animal and Grassland Research and Innovation Centre,Dunsany,C15 PW93,Ireland [3]Biochemical Conversion Department,Deutsches Biomasseforschungszentrum gemeinnützige GmbH,Leipzig 04347,Germany [4]Faculty of Energy·Building Services·Environmental Engineering,Münster University of Applied Sciences,Steinfurt 48565,Germany [5]Agri-Food and Biosciences Institute,Hillsborough,BT266DR,UK [6]Ryan Institute,University of Galway,Galway,H91 TK33,Ireland [7]MaREI Research Centre for Energy,Climate and Marine,Ryan Institute,University of Galway,Galway,H91 TK33,Ireland
出 处:《Frontiers of Environmental Science & Engineering》2024年第4期125-139,共15页环境科学与工程前沿(英文)
基 金:the Teagasc Walsh Scholarship Programme(Ireland)(Ref:2021010).The input of Dr.Ciara Beausang and Dr.J J Lenehan in the study concept and design is acknowledged.
摘 要: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.
关 键 词:ADM1 Agricultural feedstocks Biogas technology Input variability Parameter estimation
分 类 号:X70[环境科学与工程—环境工程]
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