scholarly journals Optimization of Hydrogen Yield from the Anaerobic Digestion of Crude Glycerol and Swine Manure

Catalysts ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 316
Author(s):  
Aguilar-Aguilar F. A. ◽  
Adriana Longoria ◽  
Juantorena A. U. ◽  
Santos A. S. ◽  
Pantoja L. A. ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Crude Glycerol ◽  
Swine Manure ◽  
Hydrogen Yield ◽  
Fermentation Time ◽  
Production Of Hydrogen ◽  
Two Factors ◽  
Carbon Nitrogen Ratio ◽  
Nitrogen Ratio

Crude glycerol and swine manure are residues with exponential production in Mexico, nonetheless, they have the potential to generate hydrogen from the fermentation process. For this reason, this study has evaluated the optimization of hydrogen yield from crude glycerol and swine manure, using the response surface methodology. The response surface methodology helps in the compression of the mixture of crude glycerol/ swine manure, with the production of hydrogen as a result, which improves the yields of the process, reducing variability and time of development. A central composite design was employed with two factors, six axial points and four central points. The two factors evaluated were crude glycerol and swine manure concentrations, which were examined over a range of 4 to 10 g L−1 and 5 to 15 g L−1, respectively. This study demonstrated that the thermal pretreatment method is still the most suitable method to be applied, mainly in the preparation of hydrogen-producing inoculum. The maximum hydrogen yield was 142.46 mL per gram of volatile solid added. It used up 21.56% of the crude glycerol (2.75 g L−1) and 78.44% (10 g L−1) of the swine manure, maintaining a carbon/nitrogen ratio of 18.06, with a fermentation time of 21 days. The response surface methodology was employed to maximize the hydrogen production of crude glycerol/swine manure ratios by the optimization of factors with few assays and less operational cost.

APPLICATION OF ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY FOR MODELLING OF HYDROGEN PRODUCTION USING NICKEL LOADED ZEOLITE

2015 ◽  
Vol 77 (1) ◽  
Author(s):  
Fazureen Azaman ◽  
Azman Azid ◽  
Hafizan Juahir ◽  
Mahadhir Mohamed ◽  
Kamaruzzaman Yunus ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Flow Rate ◽  
Hydrogen Gas ◽  
Hydrogen Yield ◽  
Glycerol Conversion ◽  
Production Of Hydrogen ◽  
Artificial Neural

Hydrogen gas production via glycerol steam reforming using nickel (Ni) loaded zeolite (HZSM-5) catalyst was focused on this research. 15 wt % Ni(HZSM-5) catalyst loading has been investigated based on the parameter of different range of catalyst weight (0.3-0.5g) and glycerol flow rate (0.2-0.4mL/min) at 600 ºC and atmospheric pressure. The products were analyzed by using gas-chromatography with thermal conductivity detector (GC-TCD), where it used to identify the yield of hydrogen. The data of the experiment were analyzed by using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) in order to predict the production of hydrogen. The results show that the condition for maximum hydrogen yield was obtained at 0.4 ml/min of glycerol flow rate and 0.3 g of catalyst weight resulting in 88.35 % hydrogen yield. 100 % glycerol conversion was achieved at 0.4 of glycerol flow rates and 0.3 g catalyst weight. After predicting the model using RSM and ANN, both models provided good quality predictions. The ANN showed a clear superiority with R2 was almost to 1 compared to the RSM model.

Optimization of the Fermentation Conditions for 1-Deoxynojirimycin Production by Streptomyces lawendulae Applying the Response Surface Methodology

2011 ◽  
Vol 7 (3) ◽  
Author(s):  
Zhao-Jun Wei ◽  
Le-Chun Zhou ◽  
Hua Chen ◽  
Gui-Hai Chen
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Starch Content ◽  
Ultra Violet ◽  
Soluble Starch ◽  
High Yield ◽  
Yield Strain ◽  
Fermentation Time ◽  
Ethyl Sulfate ◽  
Initial Ph

Moranoline (1-Deoxynojirimycin, DNJ) is a piperidine alkaloid, and shows high inhibit activities to glucoamylase and ?-glucosidase. One DNJ high-yield strain of Streptomyces lawendulae was obtained after isolated form soil and mutated with the ultra violet (UV) and ethyl sulfate (DES), which named as TB-412, and can produce DNJ with 35.925 mg/L. Response surface methodology (RSM) was applied to optimize the parameters of DNJ yield from S. lawendulae TB-412. The effects of independent variables of fermentation, including time, temperature, initial pH and the soluble starch content were investigated. The statistical analysis showed that the fermentation time, pH and the soluble starch content, and the quadratics of time, temperature, pH and the soluble starch content, as well as the interactions between fermentation time and pH, and time and the soluble starch content, showed significant effects on DNJ yield. The optimal process parameters for DNJ production within the experimental range of the variables researched was at 11d, 27 °C, pH 7.5, and 8% soluble starch content. At this condition, the DNJ yield was predicted to be 42.875 mg/L.

scholarly journals Optimasi Konsentrasi Etanol Dan Perbandingan Bahan Dengan Etanol Terhadap Aktivitas Antioksidan Ekstrak Daun Beluntas (Pluchea Indica Less) Menggunakan Response Surface Methodology (RSM)

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
I Gusti Ngurah Bagus Pranantha Bistara K ◽  
I Ketut Suter ◽  
Gusti Ayu Kadek Diah Puspawati
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ethanol Concentration ◽  
Dry Weight ◽  
Total Flavonoid Content ◽  
Optimum Conditions ◽  
Flavonoid Content ◽  
Tannin Content ◽  
Two Factors ◽  
Central Composite

The research was conducted to obtain the optimum of ethanol concentration and comparison of material with ethanol to produced beluntas leaves extract that had the highest antioxidant activiy. Response Surface Methodology (RSM) was used for optimization of extraction conditions with experimental design was a Central Composite Design (CCD) in two factors, namely ethanol concentration and comparison of material with ethanol. The results showed that the optimum conditions of beluntas leaves extraction were at ethanol concentration 62.71% and the comparison of material with ethanol 1:10.14. In this condition, the highest antioxidant activity was obtained at 65.80% with IC50, extract yield, total flavonoid content, and total tannin content were 3.87 ppm, 18.20% dry weight extract, 47.05 mg QE/g dry weight extract, and 9.11 mg TAE/g dry weight extract, respectively.

Mechanical Properties of Rubber Mat Compound via Two Factors Modelling Using Response Surface Methodology

2015 ◽  
Vol 761 ◽  
pp. 358-363 ◽  
Author(s):  
Qumrul Ahsan ◽  
Noraiham Mohamad ◽  
Soh Tiak Chuan
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Statistical Design ◽  
Calcined Clay ◽  
Precipitated Silica ◽  
Two Factors ◽  
Rubber Mat ◽  
Full Factorial

Mechanical properties of an industrial based rubber mat compound were optimized via response surface methodology (RSM). Interaction between two factors: accelerators (0.04-3.50 phr) and fillers (0-18.29 phr) were investigated using a full factorial design. The accelerators consisted of a combination of mercaptobenzothiazole disulphide (MBTS) as the primary accelerator, and diphenyl guanidine (DPG) and Zn-2-mercaptobenzo thiazole (ZMBT) as the secondary accelerators. Meanwhile, silane functionalized hybrid precipitated silica/calcined clay (f-PSi/ClCy) was used as the fillers. Regression models for optimum mechanical properties against the accelerator and filler factors were generated by Design Expert software. It was recommended that the level of accelerators and fillers at 1.77 phr and 0.65 phr as the optimum parameter to achieve tensile strength of ~14 MPa and ~2 N/mm, respectively. Further, a comparison between the recommended formulation and the original rubber mat formulation affirmed that the mechanical properties via statistical design were in good agreement with the experimental results with deviations of only + 8.8 % and 0 % for tensile strength and tear strength respectively.

Application of Response Surface Methodology to Optimize the Process of Saponification Reaction from Coconut Oil in Ben Tre - Vietnam

2018 ◽  
Vol 279 ◽  
pp. 235-239 ◽  
Author(s):  
Nguyen Phu Thuong Nhan ◽  
Tran Thien Hien ◽  
Le Thi Hong Nhan ◽  
Phan Nguyen Quynh Anh ◽  
Le Tan Huy ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Alkaline Solution ◽  
Coconut Oil ◽  
Solution Concentration ◽  
Significant Error ◽  
Solution Temperature ◽  
Two Factors ◽  
Good Repeatability ◽  
Rsm Model

Response Surface Methodology (RSM) is used to optimize the conditions of the saponification reaction (Concentration of alkaline solution (%), temperature (°C) and reaction time (hour)). Level of foaming and durability of the emulsion (cleaning ability) from the product of the saponification reaction are two factors to evaluate the optimization process by RSM. After optimization, the alkaline solution concentration is 11%, the reaction was carried out for 2.5-3 hours at 85°C for the highest level of foaming and the most prolonged durability of the emulsion. This parameter was compared with the experiment, and the results showed that there was no significant error, this proves that the RSM model has good repeatability, can optimally correct and is essential in optimizing the survey parameters.

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