scholarly journals Application of biomass-derived hydrochar in process stability of anaerobic digestion

2022 ◽  
Vol 17 ◽  
pp. 100903
Author(s):  
Olubunmi O. Ayodele ◽  
Abiodun E. Adekunle ◽  
Olajumoke A. Alagbe ◽  
Gloria T. Anguruwa ◽  
Adeola A. Ademola ◽  
...  
Keyword(s):  
Anaerobic Digestion ◽  
Process Stability

scholarly journals Application of Various Machine Learning Models for Process Stability of Bio-Electrochemical Anaerobic Digestion

Processes ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 158
Author(s):  
Ain Cheon ◽  
Jwakyung Sung ◽  
Hangbae Jun ◽  
Heewon Jang ◽  
Minji Kim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Anaerobic Digestion ◽  
Prediction Accuracy ◽  
Input Data ◽  
Process Stability ◽  
Operational Parameters ◽  
Monitoring Parameter ◽  
Efficient Prediction ◽  
Single Input ◽  
Machine Learning Models

The application of a machine learning (ML) model to bio-electrochemical anaerobic digestion (BEAD) is a future-oriented approach for improving process stability by predicting performances that have nonlinear relationships with various operational parameters. Five ML models, which included tree-, regression-, and neural network-based algorithms, were applied to predict the methane yield in BEAD reactor. The results showed that various 1-step ahead ML models, which utilized prior data of BEAD performances, could enhance prediction accuracy. In addition, 1-step ahead with retraining algorithm could improve prediction accuracy by 37.3% compared with the conventional multi-step ahead algorithm. The improvement was particularly noteworthy in tree- and regression-based ML models. Moreover, 1-step ahead with retraining algorithm showed high potential of achieving efficient prediction using pH as a single input data, which is plausibly an easier monitoring parameter compared with the other parameters required in bioprocess models.

A critical review of conventional and emerging methods for improving process stability in thermophilic anaerobic digestion

2020 ◽  
Vol 54 ◽  
pp. 72-84 ◽  
Author(s):  
John Ryue ◽  
Long Lin ◽  
Farokh Laqa Kakar ◽  
Elsayed Elbeshbishy ◽  
Abdullah Al-Mamun ◽  
...  
Keyword(s):  
Anaerobic Digestion ◽  
Critical Review ◽  
Process Stability ◽  
Thermophilic Anaerobic Digestion

scholarly journals Effects of Increasing Nitrogen Content on Process Stability and Reactor Performance in Anaerobic Digestion

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1139 ◽  
Author(s):  
Ievgeniia Morozova ◽  
Nadiia Nikulina ◽  
Hans Oechsner ◽  
Johannes Krümpel ◽  
Andreas Lemmer
Keyword(s):  
Anaerobic Digestion ◽  
Conversion Efficiency ◽  
Stable Process ◽  
Process Stability ◽  
Reactor Performance ◽  
High Nitrogen ◽  
Fresh Matter ◽  
Feeding Regime ◽  
N Concentration ◽  
Feeding Regimes

The aim of this study was to analyse the effect of different nitrogen increase rates in feedstock on the process stability and conversion efficiency in anaerobic digestion (AD). The research was conducted in continuously stirred tank reactors (CSTR), initially filled with two different inocula: inocula #1 with low and #2 with high nitrogen (N) concentrations. Three N feeding regimes were investigated: the “0-increase” feeding regime with a constant N amount in feeding and the regimes “0.25-increase” and “0.5-increase” where the N concentrations in feedstock were raised by 0.25 and 0.5 g·kg−1, respectively, related to fresh matter (FM) every second week. The N concentration inside the reactors increased according to the feeding regimes. The levels of inhibition (Inhibition) in specific methane yields (SMY), related to the conversion efficiency of the substrates, were quantified. At the N concentration in digestate of 10.82 ± 0.52 g·kg−1 FM measured in the reactors with inoculum #2 and “0.5-increase” feeding regime, the level of inhibition was equal to 38.99% ± 14.99%. The results show that high nitrogen increase rates in feeding regime are negatively related to the efficiency of the AD process, even if low volatile fatty acid (VFA) concentrations indicate a stable process.

Effect of solid-state NaOH pretreatment on methane production from thermophilic semi-dry anaerobic digestion of rose stalk

2016 ◽  
Vol 73 (12) ◽  
pp. 2913-2920 ◽  
Author(s):  
Yue-Gan Liang ◽  
Beijiu Cheng ◽  
You-Bin Si ◽  
De-Ju Cao ◽  
Dao-Lin Li ◽  
...  
Keyword(s):  
Anaerobic Digestion ◽  
Solid State ◽  
Methane Production ◽  
Treated Group ◽  
Net Energy ◽  
Process Stability ◽  
Rosa Rugosa ◽  
Naoh Pretreatment ◽  
Volatile Solids ◽  
Dry Anaerobic Digestion

Abstract The effects of solid-state NaOH pretreatment on the efficiency of methane production from semi-dry anaerobic digestion of rose (Rosa rugosa) stalk were investigated at various NaOH loadings (0, 1, 2, and 4% (w/w)). Methane production, process stability and energy balance were analyzed. Results showed that solid-state NaOH pretreatment significantly improved biogas and methane yields of 30-day anaerobic digestion, with increases from 143.7 mL/g volatile solids (VS) added to 157.1 mL/g VS –192.1 mL/g VS added and from 81.8 mL/g VS added to 88.8 mL/g VS–117.7 mL/g VS added, respectively. Solid-state NaOH pretreatment resulted in anaerobic digestion with higher VS reduction and lower technical digestion time. The 4% NaOH-treated group had the highest methane yield of 117.7 mL/g VS added, which was 144% higher compared to the no NaOH-treated group, and the highest net energy recovery. Higher rate of lignocellulose breakage and higher process stability of anaerobic digestion facilitated methane production in the NaOH-pretreated groups.

scholarly journals Flexible feeding in anaerobic digestion – Impact on process stability, performance and microbial community structures

Anaerobe ◽  
2020 ◽  
pp. 102297
Author(s):  
Nicolas Weithmann ◽  
Stanislava Mlinar ◽  
Eva Sonnleitner ◽  
Alfons Rupert Weig ◽  
Ruth Freitag
Keyword(s):  
Microbial Community ◽  
Anaerobic Digestion ◽  
Process Stability ◽  
Community Structures ◽  
Stability Performance ◽  
Microbial Community Structures
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