DOI: 10.1016/j.watres.2017.11.064
Scopus记录号: 2-s2.0-85037608160
论文题名: Modelling sulfate reduction in anaerobic digestion: Complexity evaluation and parameter calibration
作者: Ahmed W. ; Rodríguez J.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 130 起始页码: 255
结束页码: 262
语种: 英语
英文关键词: ADM1
; Anaerobic digestion
; Model complexity
; Modelling
; Sulfate reduction
Scopus关键词: Calibration
; Model structures
; Models
; Reduction
; Sulfur compounds
; ADM1
; Comparative analysis
; Degree of complexity
; Different structure
; Model complexity
; Parameter calibration
; Sulfate reducing bacterial
; Sulfate reduction
; Anaerobic digestion
; acetic acid
; butyric acid
; deuterium
; hydrogen
; propionic acid
; sulfate
; sulfate
; accuracy assessment
; acetate
; anaerobic digestion
; bacterium
; calibration
; comparative study
; complexity
; experimental study
; microbial activity
; modeling
; prediction
; reduction
; sulfate
; anaerobic digestion
; analytical error
; Article
; calibration
; catabolism
; electron
; microbial activity
; priority journal
; process model
; reduction (chemistry)
; anaerobic growth
; bacterium
; calibration
; metabolism
; oxidation reduction reaction
; theoretical model
; Bacteria (microorganisms)
; Anaerobiosis
; Bacteria
; Calibration
; Models, Theoretical
; Oxidation-Reduction
; Sulfates
英文摘要: A comparative analysis of five different structures of sulfate reduction (SR) models for anaerobic digestion (AD) was conducted to evaluate their accuracy to provide model developers and users with better information to decide on the optimum degree of complexity. The models evaluated differ in terms of the number/type of sulfate reducing bacterial activities considered based on the electron donors used. A systematic calibration of the evaluated models against a large set of experimental data was also conducted using a very recent parameter calibration method. Results indicate that a simple model incorporating both acetate utilizing and hydrogen utilizing sulfate reducing bacterial activities (the MAH model) achieves a good balance between performance and complexity in terms of prediction errors against experimental data. All the models evaluated provided acceptable predictions except the model including only hydrogen utilizing sulfate reducing bacterial activity. More complex model structures are recommended only if required in specific experimental cases. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113041
Appears in Collections: 气候减缓与适应
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作者单位: Department of Chemical Engineering, Khalifa University of Science and Technology, Masdar Institute, PO Box: 54224, Abu Dhabi, United Arab Emirates
Recommended Citation:
Ahmed W.,Rodríguez J.. Modelling sulfate reduction in anaerobic digestion: Complexity evaluation and parameter calibration[J]. Water Research,2018-01-01,130