scholarly journals Optimization of Bioelectrochemical Anaerobic Digestion Process Using Response Surface Methodology

2015 ◽  
Vol 26 (5) ◽  
pp. 409-415
Author(s):  
CHAE-YOUNG LEE ◽  
JAE-MIN CHOI ◽  
SUN-KI HAN
Keyword(s):  
Response Surface Methodology ◽  
Anaerobic Digestion ◽  
Response Surface ◽  
Anaerobic Digestion Process ◽  
Digestion Process

scholarly journals Response Surface Methodology to Optimize Methane Production from Mesophilic Anaerobic Co-Digestion of Oily-Biological Sludge and Sugarcane Bagasse

2020 ◽  
Vol 12 (5) ◽  
pp. 2116 ◽  
Author(s):  
Aiban Abdulhakim Saeed Ghaleb ◽  
Shamsul Rahman Mohamed Kutty ◽  
Yeek-Chia Ho ◽  
Ahmad Hussaini Jagaba ◽  
Azmatullah Noor ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Anaerobic Digestion ◽  
Response Surface ◽  
Sugarcane Bagasse ◽  
Organic Waste ◽  
Waste To Energy ◽  
Methane Yield ◽  
Digestion Process ◽  
Biological Sludge ◽  
Methane Bacteria

Oily-biological sludge (OBS) generated from petroleum refineries has high toxicity. Therefore, it needs an appropriate disposal method to reduce the negative impacts on the environment. The anaerobic co-digestion process is an effective method that manages and converts organic waste to energy. For effective anaerobic digestion, a co-substrate would be required to provide a suitable environment for anaerobic bacteria. In oily-biological sludge, the carbon/nitrogen (C/N) ratio and volatile solids (VS) content are very low. Therefore, it needs to be digested with organic waste that has a high C/N ratio and high VS content. This study investigates the use of sugarcane bagasse (SB) as an effective co-substrate due to its high C/N ratio and high VS content to improve the anaerobic co-digestion process with oily-biological sludge. The sugarcane bagasse also helps to delay the toxicity effect of the methane bacteria. Batch anaerobic co-digestion of oily-biological sludge was conducted with sugarcane bagasse as a co-substrate in twelve reactors with two-liter capacity, each under mesophilic conditions. The interaction effect of a C/N ratio of 20-30 and a VS co-substrate/VS inoculum ratio of 0.06-0.18 on the methane yield (mL CH4/g VSremoved) was investigated. Before the anaerobic digestion, thermochemical pre-treatment of the inoculum and co-substrate was conducted using sodium hydroxide to balance their acidic nature and provide a suitable pH environment for methane bacteria. Design and optimization for the mixing ratios were carried out by central composite design-response surface methodology (CCD-RSM). The highest predicted methane yield was found to be 63.52 mL CH4/g VSremoved, under optimum conditions (C/N ratio of 30 and co-substrate/inoculum ratio of 0.18).

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
Sign in / Sign up

Export Citation Format

Share Document