Insights on biological hydrogen production routes and potential microorganisms for high hydrogen yield

Fuel ◽  
2021 ◽  
Vol 291 ◽  
pp. 120136
Author(s):  
Ramachandran Sivaramakrishnan ◽  
Sabarathinam Shanmugam ◽  
Manigandan Sekar ◽  
Thangavel Mathimani ◽  
Aran Incharoensakdi ◽  
...  
Keyword(s):  
Hydrogen Production ◽  
Hydrogen Yield ◽  
High Hydrogen ◽  
Biological Hydrogen Production

scholarly journals Biological hydrogen production from synthetic wastewater by an anaerobic migrating blanket reactor: Artificial neural network (ANN) modeling

2019 ◽  
Vol 6 (4) ◽  
pp. 269-276
Author(s):  
Mohammad Ghasemian ◽  
Ensiyeh Taheri ◽  
Ali Fatehizadeh ◽  
Mohammad Mehdi Amin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Hydrogen Production ◽  
Volatile Fatty Acids ◽  
Synthetic Wastewater ◽  
Anaerobic Sludge ◽  
Hydrogen Yield ◽  
Biological Hydrogen Production ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Background: This study aimed to evaluate an anaerobic migrating blanket reactor (AMBR) for biological hydrogen production, and also to investigate its capability to treat synthetic wastewater. Methods: A five-compartment AMBR (9 L effective volume) was made by Plexiglas and seeded with thermal pretreated anaerobic sludge at 100°C for 30 minutes. The AMBR was operated at mesophilic temperature (37 ± 1°C) with continuous fed of synthetic wastewater at five organic loading rates (OLRs) of 0.5 to 8 g COD/L.d. Results: It was revealed that as the OLR increased from 0.5 to 8 g COD/L.d, the hydrogen production and also volumetric hydrogen production rate (VHPR) improved. Increasing the OLR over this range, led to a decrease in the average hydrogen yield from 1.58 ± 0.34 to 0.97 ± 0.45 mol H2 /mol glucose. The concentration of both volatile fatty acids (VFAs) and solvents kept increasing with OLR. During the AMBR operation, the dominant soluble end products (SEPs) were acetic and butyric acids in all of the OLRs studied. Conclusion: Based on the results, the hydrogen yield was related to the acetate/butyrate fermentation. The artificial neural network (ANN) model was well-fitted to the experimental obtained data from the AMBR, and was able to simulate the chemical oxygen demand (COD) removal and hydrogen production

scholarly journals BIOHYDROGEN PRODUCTION FROM WASTES OF PLANT AND ANIMAL ORIGIN VIA DARK FERMENTATION

2019 ◽  
Vol 27 (2) ◽  
pp. 101-113 ◽  
Author(s):  
Weronika Cieciura-Włoch ◽  
Sebastian Borowski
Keyword(s):  
Hydrogen Production ◽  
Sugar Beet ◽  
Dark Fermentation ◽  
Biohydrogen Production ◽  
Animal Origin ◽  
Hydrogen Yield ◽  
Vegetable Waste ◽  
Fruit And Vegetable ◽  
Kitchen Waste ◽  
High Hydrogen

This study investigated the batch experiments on biohydrogen production from wastes of plant and animal origin. Several substrates including sugar beet pulp (SBP), sugar beet leaves (SBL), sugar beet stillage (SBS), rye stillage (RS), maize silage (MS), fruit and vegetable waste (FVW), kitchen waste (KW) and slaughterhouse waste (SHW) including intestinal wastes, meat tissue, post flotation sludge were tested for their suitability for hydrogen production. Generally, the substrates of plant origin were found to be appropriate for dark fermentation, and the highest hydrogen yield of 280 dm3 H2/kg VS was obtained from fruit and vegetable waste. Contrary to these findings, slaughterhouse waste as well as kitchen waste turned out to be unsuitable for hydrogen production although their methane potential was high. It was also concluded that the combined thermal pretreatment with substrate acidification was needed to achieve high hydrogen yields from wastes.

HYDROGEN PRODUCTION FROM STEAM PYROLYSIS-GASIFICATION OF SUGARCANE LEAVES WITH SORBENT-CATALYSTS

2016 ◽  
Vol 78 (6-6) ◽  
Author(s):  
Teerayut Bunma ◽  
Prapan Kuchonthara
Keyword(s):  
Hydrogen Production ◽  
Supported Catalysts ◽  
Fixed Bed ◽  
Fixed Bed Reactor ◽  
Co2 Absorption ◽  
Hydrogen Yield ◽  
Impregnation Method ◽  
Drop Tube ◽  
High Hydrogen ◽  
Gasification Temperature

In this work, the hydrogen production during biomass steam pyrolysis-gasification with a combined catalysts and sorbent. The biomass sample was originated from sugarcane leaves. The combined catalyst and sorbent (NiO-MgO-CaO/γ-Al2O3) was prepared by an excess-solution impregnation method and the property of fresh and used catalysts was characterized using XRD. The prepared sorbent-catalysts promoted both tar reforming and CO2 absorption. High hydrogen production was achieved due to the enhanced water–gas shift reaction by the latter. The pyrolysis-gasification experiments were conducted in a drop tube two-stage fixed bed reactor. The effect of operating parameters such as the amount of MgO (3, 5 and 10 wt.%) and CaO (3, 5 and 10 wt.%) on supported catalysts and the gasification temperatures (600, 700 and 800 oC) were investigated. It was found that the highest hydrogen yield of 23.2 mmol H2/gbiomass was attained using the Ni10Mg5Ca5 catalyst at the gasification temperature of 600 oC. However, the maximum of tar conversion was observed around 78 wt.% at gasification temperature up to 800 oC.

scholarly journals Hydrogen Production by Fluidized Bed Reactors: A Quantitative Perspective Using the Supervised Machine Learning Approach

J ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 266-287
Author(s):  
Zheng Lian ◽  
Yixiao Wang ◽  
Xiyue Zhang ◽  
Abubakar Yusuf ◽  
Lord Famiyeh ◽  
...  
Keyword(s):  
Machine Learning ◽  
Hydrogen Production ◽  
Fluidized Bed ◽  
Biomass Gasification ◽  
Supervised Machine Learning ◽  
Fluidized Bed Reactors ◽  
Hydrogen Yield ◽  
Carbon Conversion ◽  
Operational Parameters ◽  
Operational Conditions

The current hydrogen generation technologies, especially biomass gasification using fluidized bed reactors (FBRs), were rigorously reviewed. There are involute operational parameters in a fluidized bed gasifier that determine the anticipated outcomes for hydrogen production purposes. However, limited reviews are present that link these parametric conditions with the corresponding performances based on experimental data collection. Using the constructed artificial neural networks (ANNs) as the supervised machine learning algorithm for data training, the operational parameters from 52 literature reports were utilized to perform both the qualitative and quantitative assessments of the performance, such as the hydrogen yield (HY), hydrogen content (HC) and carbon conversion efficiency (CCE). Seven types of operational parameters, including the steam-to-biomass ratio (SBR), equivalent ratio (ER), temperature, particle size of the feedstock, residence time, lower heating value (LHV) and carbon content (CC), were closely investigated. Six binary parameters have been identified to be statistically significant to the performance parameters (hydrogen yield (HY)), hydrogen content (HC) and carbon conversion efficiency (CCE)) by analysis of variance (ANOVA). The optimal operational conditions derived from the machine leaning were recommended according to the needs of the outcomes. This review may provide helpful insights for researchers to comprehensively consider the operational conditions in order to achieve high hydrogen production using fluidized bed reactors during biomass gasification.

scholarly journals A Phenomenological Study on the Synergistic Role of Precious Metals and the Support in the Steam Reforming of Logistic Fuels on Monometal Supported Catalysts

2010 ◽  
Vol 2010 ◽  
pp. 1-15 ◽  
Author(s):  
Abdul-Majeed Azad ◽  
Desikan Sundararajan
Keyword(s):  
Steam Reforming ◽  
High Efficiency ◽  
Phenomenological Study ◽  
Supported Catalysts ◽  
Precious Metals ◽  
Sulfur Poisoning ◽  
Jet Fuels ◽  
Hydrogen Yield ◽  
High Hydrogen

Clean power source utilizing vast logistic fuel reserves (jet fuels, diesel, and coal) would be the main driver in the 21st century for high efficiency. Fuel processors are required to convert these fuels into hydrogen-rich reformate for extended periods in the presence of sulfur, and deliver hydrogen with little or no sulfur to the fuel cell stack. However, the jet and other logistic fuels are invariably sulfur-laden. Sulfur poisons and deactivates the reforming catalyst and therefore, to facilitate continuous uninterrupted operation of logistic fuel processors, robust sulfur-tolerant catalysts ought to be developed. New noble metal-supported ceria-based sulfur-tolerant nanocatalysts were developed and thoroughly characterized. In this paper, the performance of single metal-supported catalysts in the steam-reforming of kerosene, with 260 ppm sulfur is highlighted. It was found that ruthenium-based formulation provided an excellent balance between hydrogen production and stability towards sulfur, while palladium-based catalyst exhibited rapid and steady deactivation due to the highest propensity to sulfur poisoning. The rhodium supported system was found to be most attractive in terms of high hydrogen yield and long-term stability. A mechanistic correlation between the role of the nature of the precious metal and the support for generating clean desulfurized -rich reformate is discussed.

Hydrogen Production via Catalytic Autothermal Reforming of Desulfurized Jet-A Fuel

2016 ◽  
Author(s):  
Shuyang Zhang ◽  
Xiaoxin Wang ◽  
Peiwen Li
Keyword(s):  
Energy Efficiency ◽  
Hydrogen Production ◽  
Hydrogen Storage ◽  
Coke Formation ◽  
Autothermal Reforming ◽  
Operating Conditions ◽  
Hydrogen Yield ◽  
Fuel Conversion ◽  
Optimal Operating ◽  
Reaction Equilibrium

On-board hydrogen production via catalytic autothermal reforming is beneficial to vehicles using fuel cells because it eliminates the challenges of hydrogen storage. As the primary fuel for both civilian and military air flight application, Jet-A fuel (after desulfurization) was reformed for making hydrogen-rich fuels in this study using an in-house-made Rh/NiO/K-La-Ce-Al-OX ATR catalyst under various operating conditions. Based on the preliminary thermodynamic analysis of reaction equilibrium, important parameters such as ratios of H2O/C and O2/C were selected, in the range of 1.1–2.5 and 0.5–1.0, respectively. The optimal operating conditions were experimentally obtained at the reactor’s temperature of 696.2 °C, which gave H2O/C = 2.5 and O2/C = 0.5, and the obtained fuel conversion percentage, hydrogen yield (can be large than 1 from definition), and energy efficiency were 88.66%, 143.84%, and 64.74%, respectively. In addition, a discussion of the concentration variation of CO and CO2 at different H2O/C, as well as the analysis of fuel conversion profile, leads to the finding of effective approaches for suppression of coke formation.

A newly isolated Rhodobacter sphaeroides HY01 with high hydrogen production performance

2014 ◽  
Vol 39 (19) ◽  
pp. 10051-10060 ◽  
Author(s):  
Honghui Yang ◽  
Jing Zhang ◽  
Xueqing Wang ◽  
Feng Jiangtao ◽  
Wei Yan ◽  
...  
Keyword(s):  
Hydrogen Production ◽  
Rhodobacter Sphaeroides ◽  
Production Performance ◽  
High Hydrogen
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