Analysis of Changes in Gas Composition during Startup Process

2014 ◽  
Vol 484-485 ◽  
pp. 423-426
Author(s):  
Guo Han Zhao ◽  
Shun Sheng Yang
Keyword(s):  
Anaerobic Digestion ◽  
Gas Composition ◽  
Anaerobic Digestion Process ◽  
Digestion Process ◽  
Sludge Disposal ◽  
Important Link ◽  
Important Study ◽  
Startup Process ◽  
The Stability

Start is an important link of sludge anaerobic digestion process, it is can according to the sludge disposal in sludge volume and there is no vaccination to select the startup method. Gas components are the important study-factors of anaerobic digestive startup, to visually reflect the stability of the anaerobic digestion of the startup process, in order to accurately analyze the causes of imbalance of anaerobic digestion process, to guide the anaerobic digestion system startup.

scholarly journals Designing of lab-scale anaerobic digester equipped with maxblend impeller to evaluate effect of mixing on anaerobic digestion

2019 ◽  
Vol 4 (1) ◽  
pp. 404-413
Author(s):  
Singh Buta ◽  
Zoltán Szamosi ◽  
Zoltán Siménfalvi
Keyword(s):  
Anaerobic Digestion ◽  
Anaerobic Digester ◽  
Gas Composition ◽  
Operational Parameters ◽  
Biogas Yield ◽  
Anaerobic Digestion Process ◽  
Digestion Process ◽  
Mixing Intensity ◽  
Enhance Efficiency ◽  
Gas Volume

Operational parameters can be easily controlled at lab scale experiments for an anaerobic digestion process. Our aim is to design a lab-scale digester equipped with an impeller to investigate how the geometry of impeller and different mixing modes effect the biogas yield of digester. Further, the methods of measuring the gas volume, gas composition, mixing intensity, torque, temperature are discussed in this article. The assembling of 4 liters digester is described which can be operated at various operating parameters which control the anaerobic digestion process. Mixing is very important to enhance efficiency of an anaerobic digester. To attain mixing Maxblend impeller is used in this lab-scale digester due to its better performance for mixing and power consumption. Various design consideration has been described.

A Mathematical Model for the Anaerobic Digestion Process Applied to a Mixture of Night Soil and Septic Tank Sludge

1986 ◽  
Vol 18 (7-8) ◽  
pp. 239-248 ◽  
Author(s):  
Sung Ryong Ha ◽  
Dwang Ho Lee ◽  
Sang Eun Lee
Keyword(s):  
Mathematical Model ◽  
Anaerobic Digestion ◽  
Biomass Concentration ◽  
Gas Production ◽  
Septic Tank ◽  
Volatile Acid ◽  
Hydraulic Residence Time ◽  
Anaerobic Digestion Process ◽  
Digestion Process ◽  
Proposed Model

Laboratory scale experiments were conducted to develop a mathematical model for the anaerobic digestion of a mixture of night soil and septic tank sludge. The optimum mixing ratio by volume between night soil and septic tank sludge was found to be 7:3. Due to the high solids content in the influent waste, mixed-liquor volatile suspended solids (MLVSS) was not considered to be a proper parameter for biomass concentration, therefore, the active biomass concentration was estimated based on deoxyribonucleic acid (DNA) concentration in the reactor. The weight ratio between acidogenic bacteria and methanogenic bacteria in the mixed culture of a well-operated anaerobic digester was approximately 3:2. The proposed model indicates that the amount of volatile acid produced and the gas production rate can be expressed as a function of hydraulic residence time (HRT). The kinetic constants of the two phases of the anaerobic digestion process were determined, and a computer was used to simulate results using the proposed model for the various operating parameters, such as BOD5 and volatile acid concentrations in effluent, biomass concentrations and gas production rates. These were consistent with the experimental data.

scholarly journals Linearization in the Large of the Anaerobic Digestion Process Using a Reduced-Order Koopman Operator

2020 ◽  
Vol 53 (2) ◽  
pp. 16840-16845
Author(s):  
Camilo Garcia-Tenorio ◽  
Mihaela Sbarciog ◽  
Eduardo Mojica-Nava ◽  
Alain Vande Wouwer
Keyword(s):  
Anaerobic Digestion ◽  
Koopman Operator ◽  
Reduced Order ◽  
Anaerobic Digestion Process ◽  
Digestion Process

Enhancing anaerobic digestion process with addition of conductive materials

Chemosphere ◽  
2021 ◽  
pp. 130449
Author(s):  
Yiwei Liu ◽  
Xiang Li ◽  
Shaohua Wu ◽  
Zhao Tan ◽  
Chunping Yang
Keyword(s):  
Anaerobic Digestion ◽  
Anaerobic Digestion Process ◽  
Conductive Materials ◽  
Digestion Process

Techniques for Quantifying Methane Production Potential in the Anaerobic Digestion Process

2021 ◽  
Author(s):  
Miguel Casallas-Ojeda ◽  
Sully Meneses-Bejarano ◽  
Ronald Urueña-Argote ◽  
Luis Fernando Marmolejo-Rebellón ◽  
Patricia Torres-Lozada
Keyword(s):  
Anaerobic Digestion ◽  
Methane Production ◽  
Production Potential ◽  
Anaerobic Digestion Process ◽  
Digestion Process ◽  
Methane Production Potential

Kinetic parameters estimation in an anaerobic digestion process using successive quadratic programming

2005 ◽  
Vol 52 (1-2) ◽  
pp. 419-426 ◽  
Author(s):  
C.A. Aceves-Lara ◽  
E. Aguilar-Garnica ◽  
V. Alcaraz-González ◽  
O. González-Reynoso ◽  
J.P. Steyer ◽  
...  
Keyword(s):  
Experimental Data ◽  
Anaerobic Digestion ◽  
Quadratic Programming ◽  
Kinetic Parameters ◽  
Parameters Estimation ◽  
Fixed Bed Reactor ◽  
Accurate Estimation ◽  
Successive Quadratic Programming ◽  
Anaerobic Digestion Process ◽  
Digestion Process

In this work, an optimization method is implemented in an anaerobic digestion model to estimate its kinetic parameters and yield coefficients. This method combines the use of advanced state estimation schemes and powerful nonlinear programming techniques to yield fast and accurate estimates of the aforementioned parameters. In this method, we first implement an asymptotic observer to provide estimates of the non-measured variables (such as biomass concentration) and good guesses for the initial conditions of the parameter estimation algorithm. These results are then used by the successive quadratic programming (SQP) technique to calculate the kinetic parameters and yield coefficients of the anaerobic digestion process. The model, provided with the estimated parameters, is tested with experimental data from a pilot-scale fixed bed reactor treating raw industrial wine distillery wastewater. It is shown that SQP reaches a fast and accurate estimation of the kinetic parameters despite highly noise corrupted experimental data and time varying inputs variables. A statistical analysis is also performed to validate the combined estimation method. Finally, a comparison between the proposed method and the traditional Marquardt technique shows that both yield similar results; however, the calculation time of the traditional technique is considerable higher than that of the proposed method.

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