ADM1 simulations of hydrogen production

2006 ◽  
Vol 53 (8) ◽  
pp. 129-137 ◽  
Author(s):  
B.R.H. Peiris ◽  
P.G. Rathnasiri ◽  
J.E. Johansen ◽  
A. Kuhn ◽  
R. Bakke
Keyword(s):  
Hydrogen Production ◽  
Co2 Emission ◽  
Limiting Factors ◽  
Model Parameters ◽  
Production Potential ◽  
Protein Ratio ◽  
Fatty Acid Production ◽  
Feed Composition ◽  
Theoretical Yield ◽  
Production Processes

Hydrogen can be produced by fermentation of organic wastes as a renewable CO2 emission free fuel. The production potential as a function of feed composition is investigated using the ADM1 and experimental data from the literature. Lactate and ethanol are included in the model as intermediates to simulate the bio-hydrogen production processes more closely. Simulated effects of carbohydrate to protein ratio in the feed on pH, H2, biomass and fatty acid production using standard model parameters compare quite well with experimental results. The overall hydrogen and biomass production corresponds well with measurements for some feeds and less for others. The maximum theoretical yield is significantly higher than the simulated and measured values and is highest when the feed consists of only carbohydrates. The analysis suggests that the modified ADM1 is capable of simulating the main mechanisms involved in biological hydrogen production processes, implying that the model can be used to identify, and find strategies to influence limiting factors in bio-hydrogen production processes. Model weaknesses regarding the acidogenesis processes are observed and areas for further improvements discussed.

Effect of protein on biohydrogen production from starch of food waste

2008 ◽  
Vol 57 (7) ◽  
pp. 1031-1036 ◽  
Author(s):  
H. B. Ding ◽  
X. Y. Liu ◽  
O. Stabnikova ◽  
J.-Y. Wang
Keyword(s):  
Hydrogen Production ◽  
Food Waste ◽  
Organic Nitrogen ◽  
Volatile Fatty Acids ◽  
Biohydrogen Production ◽  
Food Wastes ◽  
Hydrogen Production Rate ◽  
Production Potential ◽  
Protein Ratio ◽  
Protein Rich

This study demonstrated the influence of protein on biohydrogen production from carbohydrates, especially starch, by using different combinations of two model food wastes, rice as starch-rich and soybean residue as protein-rich food waste. It was found the maximum specific hydrogen production potential, 0.99 mol H2/mol initial starch as glucose, and the maximum specific hydrogen production rate, 530 ml H2/h g-VS, occurred at a starch/protein ratio of 1.7. The protein content in the initial food waste not only provided buffering capacity to neutralize the volatile fatty acids as concurrent products but also enhanced the hydrogen production by providing readily available organic nitrogen such as soluble proteins and amino acids to microorganisms.

Studies on hydrogen production by continuous culture system of hydrogen-producing anaerobic bacteria

1997 ◽  
Vol 36 (6-7) ◽  
pp. 41-47 ◽  
Author(s):  
Naoaki Kataoka ◽  
Akiko Miya ◽  
Koichi Kiriyama
Keyword(s):  
Fatty Acid ◽  
Hydrogen Production ◽  
Substrate Concentration ◽  
Hydraulic Retention Time ◽  
Anaerobic Bacteria ◽  
Hydrogen Production Rate ◽  
Production Potential ◽  
Fatty Acid Production ◽  
Reciprocal Shaker ◽  
Continuous Culture System

Characteristics of continuous hydrogen production and fatty acid formation by an active hydrogen-producing anaerobic bacterium, Clostridium butyricum strain SC-E1, was examined under vacuum and non-vacuum culture systems. The continuous cultures were performed using 1040 ml anaerobic glass bottles containing 600 ml of medium including glucose and polypeptone at a concentration of 0.5 or 1.0% as substrate, and were conducted at pH 6.7, hydraulic retention time (HRT) 8h, and 30°C on a reciprocal shaker. The non-vacuum cultures at 16 days of incubation showed 2.0 to 2.3 mol-H2/mol-glucose and 1.4 to 2.0 mol-H2/mol-glucose of hydrogen productivity at 0.5 and 1.0% of substrate concentration, respectively. The vacuum cultures conducted at 0.28 atm gave 1.8 to 2.3 mol-H2/mol-glucose and 1.3 to 2.2 mol-H2/mol-glucose of hydrogen productivity at 0.5 and 1.0% of substrate concentration, respectively. The fatty acid production from the vacuum cultures exhibited approximately the same yield of fatty acids as those of the non-vacuum cultures. It was concluded that the maximal hydrogen production potential by anaerobic bacteria is 1.3 to 2.2 mol-H2/mol-glucose, which is less than 50% of theoretical. In addition, the total hydrogen production rate by a two-stage bioreactor consisting of a 1-litre anaerobic fermenter (HRT 10h) and a 4-litre photobioreactor (HRT 36h) feeding at 2.4-litre of 1.0% glucose per day was estimated at 1.4 to 5.6 mol-H2/mol-glucose, which is 12 to 47% theoretical.

scholarly journals Adsorption for efficient low carbon hydrogen production: part 2—Cyclic experiments and model predictions

Adsorption ◽  
2021 ◽  
Author(s):  
Anne Streb ◽  
Marco Mazzotti
Keyword(s):  
Hydrogen Production ◽  
Carbon Capture And Storage ◽  
Clean Energy ◽  
Separation Performance ◽  
Low Carbon ◽  
Solution Theory ◽  
Feed Composition ◽  
Ideal Adsorbed Solution Theory ◽  
Adsorbed Solution ◽  
Adsorbed Solution Theory

Abstract Hydrogen as clean energy carrier is expected to play a key role in future low-carbon energy systems. In this paper, we demonstrate a new technology for coupling fossil-fuel based hydrogen production with carbon capture and storage (CCS): the integration of CO2 capture and H2 purification in a single vacuum pressure swing adsorption (VPSA) cycle. An eight step VPSA cycle is tested in a two-column lab-pilot for a ternary CO2–H2–CH4 stream representative of shifted steam methane reformer (SMR) syngas, while using commercial zeolite 13X as adsorbent. The cycle can co-purify CO2 and H2, thus reaching H2 purities up to 99.96%, CO2 purities up to 98.9%, CO2 recoveries up to 94.3% and H2 recoveries up to 81%. The key decision variables for adjusting the separation performance to reach the required targets are the heavy purge (HP) duration, the feed duration, the evacuation pressure and the flow rate of the light purge (LP). In contrast to that, the separation performance is rather insensitive towards small changes in feed composition and in HP inlet composition. Comparing the experimental results with simulation results shows that the model for describing multi-component adsorption is critical in determining the predictive capabilities of the column model. Here, the real adsorbed solution theory (RAST) is necessary to describe all experiments well, whereas neither extended isotherms nor the ideal adsorbed solution theory (IAST) can reproduce all effects observed experimentally.

Uncertainty studies on hydrogen source term with MAAP5 code

Kerntechnik ◽  
2021 ◽  
Vol 86 (2) ◽  
pp. 152-163
Author(s):  
T.-C. Wang ◽  
M. Lee
Keyword(s):  
Hydrogen Production ◽  
Nuclear Power ◽  
Hydrogen Generation ◽  
Pearson Correlation ◽  
Latin Hypercube Sampling ◽  
Severe Accident ◽  
Model Parameters ◽  
Power Company ◽  
Sensitivity Studies ◽  
The Impact

Abstract In the present study, a methodology is developed to quantify the uncertainties of special model parameters of the integral severe accident analysis code MAAP5. Here, the in-vessel hydrogen production during a core melt accident for Lungmen Nuclear Power Station of Taiwan Power Company, an advanced boiling water reactor, is analyzed. Sensitivity studies are performed to identify those parameters with an impact on the output parameter. For this, multiple calculations of MAAP5 are performed with input combinations generated from Latin Hypercube Sampling (LHS). The results are analyzed to determine the 95th percentile with 95% confidence level value of the amount of in-vessel hydrogen production. The calculations show that the default model options for IOXIDE and FGBYPA are recommended. The Pearson Correlation Coefficient (PCC) was used to determine the impact of model parameters on the target output parameters and showed that the three parameters TCLMAX, FCO, FOXBJ are highly influencing the in-vessel hydrogen generation. Suggestions of values of these three parameters are given.

Thermodynamic Analysis of Hydrogen Production Processes

2016 ◽  
pp. 77-108
Author(s):  
Lúcia Bollini Braga ◽  
Celso Eduardo Tuna ◽  
Fernando Henrique Mayworm de Araujo ◽  
Lucas Fachini Vane ◽  
Daniel Travieso Pedroso ◽  
...  
Keyword(s):  
Hydrogen Production ◽  
Thermodynamic Analysis ◽  
Production Processes

scholarly journals SOIL CONTROLLING FACTORS OF METHANE GAS PRODUCTION FROM FLOODED RICE FIELDS IN PATI DISTRICT, CENTRAL JAVA

2016 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
P. Setyanto ◽  
Rosenani A.B. ◽  
A.K. Makarim ◽  
Che Fauziah I. ◽  
A. Bidin ◽  
...  
Keyword(s):  
Great Influence ◽  
Gas Production ◽  
Rice Fields ◽  
Limiting Factors ◽  
Stepwise Multiple Regression ◽  
Ch4 Emission ◽  
Atmospheric Methane ◽  
Production Potential ◽  
Central Java ◽  
Ch4 Production

Atmospheric methane (CH4) is recognized as one of the most important greenhouse gases. Methane, with some 15-30 times greater infrared-absorbing capability than CO2 on a mass basis, may account for 20% of anticipated global warming. Soils are one of the key factors, which play an important role in CH4 production and emission. However, data on CH4 emission from different soil types and the characteristics affecting CH4 production are lacking when compared to data on agronomic practices. This study was conducted to investigate the potential of CH4 production of selected soils in Java, and determine the limiting factors of CH4 production. The results showed that addition of 1% glucose to the soils led to an increase in CH4 production by more than twelve fold compared to no glucose addition. The CH4 production potential ranged between 3.21 and 112.30 mg CH4 kg-1 soil. The lowest CH4 production potential occurred in brown-grayish Grumosol, while the highest was in dark-gray Grumosol. Chemical and physical properties of the soils have great influence on CH4 production. Stepwise multiple regression analysis of CH4 production and soil characteristics showed that pH and the contents of Fe2O3, MnO2, SO4, and silt in the soil strongly influenced CH4 production. Results of this study can be used for further development of a model on CH4 emission from rice fields.

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