Noushirvani University of Technology

Bābol, Iran

Noushirvani University of Technology

Bābol, Iran

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Lahijani P.,Universiti Sains Malaysia | Zainal Z.A.,Universiti Sains Malaysia | Mohamed A.R.,Universiti Sains Malaysia | Mohammadi M.,Noushirvani University of Technology
Bioresource Technology | Year: 2013

Palm empty fruit bunch ash (EFB-ash) was used as a natural catalyst, rich in potassium to enhance the CO2 gasification reactivity of palm shell char (PS-char). Various EFB-ash loadings (ranging from 0 to 12.5wt.%) were implemented to improve the reactivity of PS-char during CO2 gasification studies using thermogravimetric analysis. The achieved results explored that the highest gasification reactivity was devoted to 10% EFB-ash loaded char. The SEM-EDS and XRD analyses further confirmed the successful loading of EFB-ash on PS-char which contributed to promoting the gasification reactivity of char. Random pore model was applied to determine the kinetic parameters in catalytic gasification of char at various temperatures of 800-900°C. The dependence of char reaction rate on gasification temperature resulted in a straight line in Arrhenius-type plot, from which the activation energy of 158.75kJ/mol was obtained for the catalytic char gasification. © 2012 Elsevier Ltd.


Lahijani P.,Universiti Sains Malaysia | Zainal Z.A.,Universiti Sains Malaysia | Mohamed A.R.,Universiti Sains Malaysia | Mohammadi M.,Noushirvani University of Technology
Bioresource Technology | Year: 2013

In this investigation, palm empty fruit bunch (EFB) and almond shell (AS) were implemented as two natural catalysts rich in alkali metals, especially potassium, to enhance the reactivity of tire-char through co-gasification process. Co-gasification experiments were conducted at several blending ratios using isothermal Thermogravimetric analysis (TGA) under CO2. The pronounced effect of inherent alkali content of biomass-chars on promoting the reactivity of tire-char was proven when acid-treated biomass-chars did not exert any catalytic effect on improving the reactivity of tire-char in co-gasification experiments. In kinetic studies of the co-gasified samples in chemically-controlled regime, modified random pore model (M-RPM) was adopted to describe the reactive behavior of the tire-char/biomass-char blends. By virtue of the catalytic effect of biomass, the activation energy for tire-char gasification was lowered from 250kJ/mol in pure form 203 to 187kJ/mol for AS-char and EFB-char co-gasified samples, respectively. © 2013 Elsevier Ltd.


Lahijani P.,Universiti Sains Malaysia | Zainal Z.A.,Universiti Sains Malaysia | Mohamed A.R.,Universiti Sains Malaysia | Mohammadi M.,Noushirvani University of Technology
Bioresource Technology | Year: 2013

This study investigates the influence of alkali (Na, K), alkaline earth (Ca, Mg) and transition (Fe) metal nitrates on CO2 gasification reactivity of pistachio nut shell (PNS) char. The preliminary gasification experiments were performed in thermogravimetric analyzer (TGA) and the results showed considerable improvement in carbon conversion; Na-char>Ca-char>Fe-char>K-char>Mg-char>raw char. Based on TGA studies, NaNO3 (with loadings of 3-7wt%) was selected as the superior catalyst for further gasification studies in bench-scale reactor; the highest reactivity was devoted to 5wt% Na loaded char. The data acquired for gasification rate of catalyzed char were fitted with several kinetic models, among which, random pore model was adopted as the best model. Based on obtained gasification rate constant and using the Arrhenius plot, activation energy of 5wt% Na loaded char was calculated as 151.46kJ/mol which was 53kJ/mol lower than that of un-catalyzed char. © 2013 Elsevier Ltd.


Mohammadi M.,Universiti Sains Malaysia | Mohammadi M.,Noushirvani University of Technology | Najafpour G.D.,Noushirvani University of Technology | Younesi H.,Tarbiat Modares University | And 3 more authors.
Renewable and Sustainable Energy Reviews | Year: 2011

The ever increasing concerns over fluctuating price of oil and the possible future supply constrains have reinforced the need for alternative fuel resources. Use of synthesis gas (syngas) to generate fuels through a microbial route would likely be an option to address part of this challenge. Syngas fermentation offers a pathway for sustainable synthesis of fuels and chemicals with lots of advantages over catalytic syngas conversion. This work reviews the available literature on production of second generation biofuels from syngas using various biocatalysts. The potential of syngas fermentation using acetogenic, hydrogenogenic and methanogenic organisms have been surveyed. A vast variety of biofuels and biochemicals including ethanol, acetate, hydrogen, butanol, butyrate, methane and etc. have been produced from gaseous substrates using microbial catalysts. The role of various parameters including medium composition, fermentation pH, trace elements, reducing agents and mass transfer limitations on bioconversion process has been extensively discussed. From this survey of literature it has been deduced that despite years of research and endeavors, fermentation of syngas to biofuels is still a relatively immature technology and long-term view for this potential conversion should be undertaken for future commercial deployments. © 2011 Elsevier Ltd. All rights reserved.


Anisheh S.M.,Noushirvani University of Technology | Hassanpour H.,Shahrood University of Technology
International Journal of Electronics | Year: 2011

Signal analysis tools such as Fourier transform are often applicable on data with a limited length. Segmentation is an important pre-processing step in many signal processing applications. Statistical characteristics of the signal in a segment are often preferred to be similar. This characteristic, stationarity, improves performance of signal analysis technique. This article develops an adaptive segmentation method based on wavelet transform and fractal dimension from two aspects. One is to use discrete stationary wavelet transform in pre-processing step instead of using classical wavelet transform. The other is to choose the optimal parameters. Two parameters are needed to calculate the fractal dimension of a decomposed signal, window length and percentage overlapping of the successive windows, which affect the performance of the proposed approach. These parameters are optimally set using the particle swarm optimisation algorithm. Performance of the proposed method is compared with three other existing segmentation methods using both synthetic signal and real data. The results indicate the superiority of the proposed technique in terms of accuracy compared to existing methods. © 2011 Taylor & Francis.


Mohamed A.R.,Universiti Sains Malaysia | Mohammadi M.,Noushirvani University of Technology | Darzi G.N.,Noushirvani University of Technology
Renewable and Sustainable Energy Reviews | Year: 2010

A literature review on preparation of carbon molecular sieve (CMS) from lignocellulosic biomass is presented. The effect of various operation parameters such as pyrolytic temperature, flow rate of the carbonizing agent and time of pyrolysis on the carbonization of the lignocellulosic biomass as a carbon precursor was reviewed. Various physical and chemical processes for the activation of the biomass-based char and their effects on textural properties of the activated char were discussed. Conversion of activated chars to CMS as the final stage of the preparation process through different techniques of chemical vapor deposition (CVD) and controlled pyrolysis was assessed. Survey of literature revealed that production of CMS with BET surface area of 1247 m2/g and micropore volume of 0.51 cm3/g, under appropriate conditions has been reported. Also, maximum selectivity of 7.6 and 400 for separation of O2/N2 and CO2/CH4 was devoted to palm shell and coconut shell-based CMS, respectively. © 2010 Elsevier Ltd. All rights reserved.


Mohammadi M.,Universiti Sains Malaysia | Mohammadi M.,Noushirvani University of Technology | Hassani A.J.,Universiti Sains Malaysia | Mohamed A.R.,Universiti Sains Malaysia | Najafpour G.D.,Noushirvani University of Technology
Journal of Chemical and Engineering Data | Year: 2010

Palm shell derived activated carbon was utilized as a potential adsorbent to remove rhodamine B (RB) from aqueous solution. Activated carbon was prepared from palm shell through a physiochemical activation process to yield a sample with a Brunauer - Emmett - Teller (BET) surface area of 476.8 m 2·g-1. The ability of the prepared activated carbon for dye adsorption was examined in a series of batch experiments. The effect of various process parameters such as initial dye concentration [(41.8 to 208.8) μmol·L-1], solution pH (3 to 11), and temperature [(30 to 50) °C] on the adsorption capacity of the adsorbent was investigated. Various adsorption isotherms (Langmuir, Freundlich, and Temkin) were used to interpret the experimental data. The obtained sorption data were reasonably described by the Langmuir model. The Temkin isotherm confirmed the presence of a repulsive lateral interaction in the adsorbent surface. Pseudofirst- and second-order kinetic models were used to predict the kinetics of the adsorption process. The obtained results revealed that the adsorption of RB on activated carbon followed a pseudosecond-order kinetic model. A maximum dye removal efficiency of 95 % was achieved at an initial dye concentration of 62.6 μmol·L-1, pH of 3, and temperature of 50 °C. © 2010 American Chemical Society.


Rezaei P.S.,Noushirvani University of Technology | Darzi G.N.,Noushirvani University of Technology | Shafaghat H.,Noushirvani University of Technology
Korean Journal of Chemical Engineering | Year: 2010

A high performance thermostable α-amylase at low pH values has been synthesized. Sugarcane bagasse was hydrolyzed in a dilute acid solution and utilized as carbon source for the growth of Aspergillus niger strain NCIM 548. Glucose, xylose and arabinose with the ratio of 1. 0: 0. 9: 0. 3 (w/w/w) were detected in the hydrolyzate by HPLC analysis. Optimization of the fermentation conditions for α-amylase production was performed by varying four influential parameters such as Sugarcane bagasse hydrolyzate (SBH), NH4Cl, pH and incubation time using a central composite design (CCD) under response surface methodology (RSM). The optimum values of SBH, NH4Cl, pH and incubation time were 20. 49, 2. 34 g/l, 5. 65 and 76. 67 h, respectively. The acido-thermophilic enzyme showed maximum stability at 70°C and pH value of 4. The rate constant, Km and maximum reaction rate, Vmax were 18. 79 g/l and 15. 85 g/l·min, respectively. © 2010 Korean Institute of Chemical Engineers, Seoul, Korea.


Shafaghat H.,Noushirvani University of Technology | Najafpour G.D.,Noushirvani University of Technology | Rezaei P.S.,Noushirvani University of Technology | Sharifzadeh M.,Islamic Azad University at Āmol
Chemical Industry and Chemical Engineering Quarterly | Year: 2010

Saccharomyces cerevisiae (PTCC 24860) growth on pretreated sugar beet molasses was an optimized via statistical approach. In order to liberate all mo-nomeric sugars, pretreated sugar beet molasses with dilute acid was obtained. The influence of process parameters such as sugar concentration, nitrogen source, pH and incubation time on the cell growth were investigated by a design expert software with the application of a central composite design (CCD) under response surface methodology (RSM). The optimal culture conditions were pH of 5.3, incubation time of 24 h and medium composition of 35 g reduced sugars, 1.5 g NH4Cl and 1 g yeast extract per liter of the media. At optimal cell growth conditions and incubation time of 12 h, the maximum ethanol production of 14.87 g/L was obtained.


Hassanpour H.,Islamic Azad University | Anisheh S.M.,Noushirvani University of Technology
10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 | Year: 2010

Analysis of non-stationary signal requires that it be segmented into piece-wise stationary epochs as many of the existing signals processing techniques are only applicable to piece-wise stationary signals. In this research, an adaptive segmentation approach is introduced that can automatically detect the positions of segments boundaries. In the proposed approach, after applying Savit::ky-Golay filter on the original signal, the fractal dimension of the obtained signal is calculated in a sliding window. Then, segments boundaries are detected by consideringfractal dimension variations. Performance of the proposed method is compared with an existing segmentation method using both synthetic signal real data. Simulation results indicate superiority of the proposed method in signal segmentation. © 2010 IEEE.

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