SlideShare a Scribd company logo
1 of 6
Download to read offline
TELKOMNIKA, Vol.15, No.2, June 2017, pp. 554~559
ISSN: 1693-6930, accredited A by DIKTI, Decree No: 58/DIKTI/Kep/2013
DOI: 10.12928/TELKOMNIKA.v15i2.5574  554
Received January 5, 2017; Revised March 18, 2017; Accepted April 1, 2017
Preliminary Study on biogas production from POME by
DBD plasma
Ariadi Hazmi*
1
, Reni Desmiarti
2
, Primas Emeraldi
3
, Muhammad Imran Hamid
4
, Edwardo
5
Eka Putra Waldi
6
1,3,4,5,6
Andalas University, Padang 25163, Indonesia
2
Bung Hatta University, Indonesia
*Corresponding author, e-mail: ariadi@ft.unand.ac.id
Abstract
A new technology to produce biogas using a dielectric barrier discharge (DBD) plasma system
from palm oil mill effluent (POME) was investigated. The batch experiments were examined at applied
voltages of 15, 20 and 25 kV. The results showed that the highest yields of hydrogen and methane were
achieved at an applied voltage of 25 kV after 1 hour were 2.42 and 1.32 mL/mL of POME, respectively.
The biogas was composed of 65% hydrogen and 35% methane. In order to make the results of this study
applicable to biogas plants, the effects of flowrate and consumed energy are important parameters that
should be further investigated in a future study.
Keywords: POME, plasma, dielectric barrier discharge, biogas production
Copyright © 2017 Universitas Ahmad Dahlan. All rights reserved.
1. Introduction
Indonesia’s palm oil industry is developing rapidly due to Indonesia being the largest
palm oil producer in the world [1]. Each ton of crude palm oil (CPO) creates approximately 2.5
m
3
of POME, which is considered wastewater. POME wastewater can cause serious water
pollution because it contains high levels of organic contents such as high chemical oxygen
demand (COD), biochemical oxygen demand (BOD), and oil-grease. However, there is an
opportunity to convert the wastewater from POME into biogases, such as hydrogen and
methane gas, as potential sources of renewable energy. Generally, conventional methods are
used in the palm oil industry for the treatment of POME to produce biogas, such as open
ponding, anaerobic and aerobic systems, or combinations of both. The advantage of these
methods is that biological treatment is easy, but disadvantages are that they require a long
hydraulic retention time (HRT) and a large area of land [2-5]. Furthermore, Budiman and Wu [6]
and Norfadilah et al, [7] reported that the treatment of POME to produce biogas required
between 1 and 10 days, respectively. Recently, Hazmi et al, [8] have successfully demonstrated
how POME can be treated using a combined sand filtration-DBD plasma system. This system is
not only able to reduce the HRT for treatment of COD, BOD5 and oil-grease to achieve standard
water quality but also produce biogases.
This paper reports an investigation of biogas production from POME using a DBD
plasma system. The DBD plasma system is generated by electrical discharges in a liquid in
order to produce ions and active species that are oxidizing radicals (H and OH) and
molecules (H2O2, O3, etc.) to improve the chemical reaction speed. These chemical reactants
are effective in degrading organic compounds in POME [9-12]. The purpose of this work was to
investigate the performance of the DBD plasma system as an alternative method for producing
biogas from POME. Comparison of our investigation result with other methods of previous
studies is reported.
2. Materials and Methods
The POME used in this study was similar to that used by Hazmi et al [8]. The POME
was taken after the fat-grease pit from the wastewater treatment system in Padang, Indonesia.
A summary of the POME characteristics is shown in Table 1.
TELKOMNIKA ISSN: 1693-6930 
Preliminary Study on biogas production from POME by DBD plasma (Ariadi Hazmi)
555
A schematic diagram of the experimental setup is depicted in Figure 1. Upper needle
electrodes and a lower plane electrode were connected to a high voltage with a frequency
system of 50 Hz and ground, respectively. A needle-plane electrode system was used with a
distance of 5 mm between the needle and the POME surface. The needle electrode was made
of 1 mm diameter stainless steel and the plane electrode was made of 1 mm thick stainless
steel. The applied voltages and discharge currents were recorded using an oscilloscope
(TDS5104 Tektronix) through a high-voltage probe (P6015A Tektronix) and a current probe
(P6022 Tektronix). The applied voltages were set at 15, 20 and 25 kV. A bigger acrylic container
with a storage volume of about 3500 mL was used as the DBD reactor. The volume of the
POME in the DBD reactor was 1000 mL. Furthermore, a smaller acrylic container with a storage
volume of about 1500 mL was used as gas storage. The hydrogen and methane gas
concentrations were detected by commercial MQ8 and MQ4 gas sensors (Hanwei),
respectively. In addition, an air pressure sensor (BMP180 Bosch) was used to detect the air
pressure change in the acrylic container. All sensors were connected to a data logger (ADC24
Pico) to record the conductivity change related to the electrical output signal of gas
concentrations in the storage container every second for one hour, controlled by a personal
computer (PC). Figure 3 shows the voltage variations to generate the discharge current in the
DBD reactor.
Table 1. Characteristics of POME after oil-grease pit [13]
Parameter Unit Value
pH 3.9
BOD5 mg/L 251.4
COD mg/L 440.8
Oil-grease mg/L 132.4
Oxidation Reduction Potential (ORP) mV 162.3
Electrostatic Conductivity (EC) S/cm 64.8
Total Dissolved Solid (TDS) mg/L 32.400
Figure 1. Schematic diagram of experimental setup
3. Results and Discussion
The experiment investigated the discharge current in the DBD reactor and the product
yield in the biogas storage with variations of applied voltage and time. The discharge current of
the applied voltage in the DBD reactor was recorded by oscilloscope through voltage and
current probes, while the product yield in the biogas storage detected by the gas sensors was
recorded by a data logger.
3.1. Discharge Current Characteristics
Figure 2a shows that a discharge current pulse train of about 8 A occurred at an applied
AC voltage of 25 kV. It can be seen that the discharge current took place around the peaks of
AC
POME
Data logger
Oscilloscope
PC
Biogas
storage
Gas
sensors
DBD Reactor
Airpressure
sensor
Voltageprobe
Current probe
 ISSN: 1693-6930
TELKOMNIKA Vol. 15, No. 2, June 2017 : 554 – 559
556
the applied voltage for both the positive and the negative half cycles, distributed around the
phase of 0-360°. The discharge current pulse increased with the increase of the voltage applied
to the reactor, causing the POME decomposition rate to increase with an increase of the
treatment time. The discharge current on the POME surface produced UV and many active
species with high oxidation potential ions and molecules such as ozone (O3), hydrogen peroxide
(H2O2), hydroxyl radical (OH
-
), and perhydroxyl radical (H
+
), which effectively decompose
organic compounds [14]. The final products of the decomposition process were water, inorganic
salts [15], and biogases such as hydrogen (H2), methane (CH4) and carbon monoxide (CO). In
Figure 2b, the plasma discharges origin from the needle tip on the POME surface is displayed.
(a) (b)
Figure 2. Waveform for the applied voltage of 25 kV (a) The discharge current was recorded on
one cycle of the sinusoidal waveform; (b) Plasma discharges occured between the needle tip
and the POME surface
3.2. Profile of Temperature and Air Pressure
Figure 3 displays the profile of the temperature and the air pressure in the container.
Figure 3 shows that slight changes in temperature and air pressure occurred in the gas
container. The temperature increased with an increase in time, while the air pressure decreased
with an increase in time. The decreasing air pressure indicated that there was increasing gas
volume in the container due to the oxidation process in the POME producing several gases. We
predict that the changes in temperature and air pressure are due to the production of biogases
such as hydrogen and methane gas in the plasma reactor during the experiment.
3.3. The Effects of Applied Voltage on Yield Production of H2 and CH4
A previous study [8] found that the removal efficiency of COD, BOD5 and oil-grease was
61, 63 and 62% with the applied voltage at 19 kV in the DBD plasma system. The concentration
of COD was 304 to 163 mg/L and indicated that a decrease of COD was followed by formation
of hydrogen and methane. Similar results have been reported by other researchers, such as
hydrogen production using fermentation under mesophilic condition at 37 °C [7, 16] and under
thermophilic condition at 55 C [17-19]. It was concluded that the degradation rate of POME
increased with an increased voltage.
To increase biogas production, the applied voltage was selected at 15, 20 and 25 kV in
a batch experiment based on previous studies [8,12]. Figure 4 illustrates the applied voltage
effect on the yield of hydrogen (a) and methane (b). Figure 4a shows that the yield of hydrogen
increased from 0.12, 0.69 and 0.83 mL H2/mL POME after 30 minutes with the applied voltage
at 15, 20 and 25 kV, respectively, and continuously increased until 60 minutes. Figure 4b shows
that the yield of methane increased from 0.01, 0.06 and 0.21 mL CH4/mL POME after 30
minutes with the applied voltage at 15, 20 and 25 kV, respectively. The highest yield of biogas in
this experiment was achieved when the applied voltage was 25 kV. The effect of applied voltage
on biogas yield is displayed in Figure 5. The biogas comprised mostly of hydrogen and
methane.
0 60 120 180 240 300 360
-30
-20
-10
0
10
20
30
Phase (degree)
Appliedvoltage(kV)
-12
-8
-4
0
4
8
12
Dischargecurrent(A)
TELKOMNIKA ISSN: 1693-6930 
Preliminary Study on biogas production from POME by DBD plasma (Ariadi Hazmi)
557
Figure 3. Profile of temperature and air pressure in the container at 25 kV of applied voltage. (a)
Change of temperature in one hour; (b) Change of air pressure in one hour.
Figure 4. Profiles of biogas production. The applied voltage was set at 15, 20 and 25 kV. (a)
Yield production of H2; (b) Yield production of CH4.
Table 2 shows a comparison of the biogas yield from different processes and
substrates. The processing time in the present study was 6-238 times faster compared with the
results using batch fermentation in a continuous process in previous studies. In the previous
studies, the production of hydrogen based on processing time was lower than in the present
study. Biogas production using a fermentation process depends on substrate concentration,
volume of inoculum, pH and temperature [16]. The fermentation process also needs more time
to degrade the substrate using microorganisms and produce biogas following hydrolysis,
acidognesis and methanogenesis [20]. For this process, Lattif et al [21] investigated biogas
production from date palm fruit waste. Their results confirmed a biogas composition with 63%
methane; the system should be well controlled under mesophilic condition (37 C). In our study,
the biogas composition consisted of 65% hydrogen and 35% methane and a small amount of
carbon monoxide. In a future study, an attempt could be made to remove the carbon monoxide
using absorption.
0 10 20 30 40 50 60
30.7
30.8
30.9
31.0
31.1
31.2
31.3
0 10 20 30 40 50 60
976.2
976.4
976.6
976.8
977.0
977.2
Temperature(o
C)
Time (Minute)
(a) (b)
Airpressure(mbar)
Time (Minute)
 ISSN: 1693-6930
TELKOMNIKA Vol. 15, No. 2, June 2017 : 554 – 559
558
Figure 5. The effects of applied voltage on yield production of H2, CH4 and CO
Table 2. Comparison of biogas production with references
Process Substrate
Processing
time (day)
Yield (mL/mL POME) Gas Composition (%)
Reference
H2 CH4 H2 CH4 CO2
DBD at 25 kV POME 0.042 2.42 1.32 65 35 - This study
Batch fermentation POME 10 5.99 - 36 - 64
Norfadilah
et al., [7]
Continuous fermentation
Rice
straw
1.96a
7.1 - - - -
Sattar et
al., [19]
Ultrasonification
pretreatment following
Photofermentation
POME 1b
8.72 - - - -
Budiman
and Wu [6]
Continuous fermentation Glucose 0.25b
2.1c
- - 13 87
Fang and
Liu., [18]
Continuous fermentation Glucose 0.5b
2.39c
- 64 - 36
Ueno et al.,
[17]
a
Hydraulic retention time
b
In mol/mol glucose
c
in mL/volatile solid
4. Conclusion
The effect of applied voltage on biogas production from POME was studied using a
DBD plasma system. Increasing the applied voltage caused an increase in the yield of hydrogen
and methane. The highest hydrogen and methane yields were 65% and 35%, respectively.
Biogas production using the DBD plasma system was 6-238 times faster than conventional
processes such as fermentation. In future studies, the effect of flowrate and consumed energy
should be further investigated.
Acknowledgements
The authors would like to thank Andalas University for supporting this work with grant
no. 003/UN.16.09.D/PL/2016. Thanks also go to all student members of the High Voltage
Laboratory of Electrical Engineering, Andalas University.
References
[1] Ahmed Y, Yaakob Z, Akhtar P, Sopian K. Production of biogas and performance evaluation of
existing treatment processes in palm oil mill effluent (POME). Renewable and Sustainable Energy
Reviews. 2015; 42: 1260-1278.
[2] Wu YT, Muhammad AW, Jahim JM, Anuar N. Pollution Control Technologies for the Treatment of
Palm Oil Mill Effluent (POME) through End-of-Pipe Processes. Journal of Environmental
Management. 2010; 91: 1467-1490.
0.0
0.5
1.0
1.5
2.0
2.5
3.0
15 kV 20 kV 25 kV
Yield(mL/mLPOME)
Processing time 60 minutes
H2
CH4
CO
TELKOMNIKA ISSN: 1693-6930 
Preliminary Study on biogas production from POME by DBD plasma (Ariadi Hazmi)
559
[3] Desmiarti R. Combination of Anaerobic Process and Membrane Filtration for Treatment Palm Oil Mill
Effluent (POME). Magister Thesis. Indonesia: Chem. Eng. Department of Institut Teknologi Bandung;
1999.
[4] Abdurrahman NH, Rosli YM, Azhari NH. Development of a Membrane Anaerobic System (MAS) for
Palm Oil Mill Effluent (POME) Treatment. Desalination. 2011; 266: 208-212.
[5] Chena C, Guoa W, Ngoa HH, Leeb DJ, Tungb KL, Jinc P, Wang DJ, Wud Y. Challenges in biogas
production from anaerobic membrane bioreactors. Renewable Energy. 2016; 98: 120-134.
[6] Budiman PM, Wu TY. Ultrasonication pre-treatment of combined effluents from palm oil, pulp and
paper mills for improving photofermentative biohydrogen production. Energy Conversion and
Management. 2016; 119(1): 142-150.
[7] Norfadilah N, Raheem A, Harun R, Ahmadun FR. Bio-hydrogen production from palm oil mill effluent
(POME): A preliminary study. International Journal of Hydrogen Energy. 2016; 41(28): 11960-11964.
[8] Hazmi A, Desmiarti R, Waldi EP, Emeraldi P. Preliminary Study on Treatment of Palm Oil Mill Effluent
(POME) by Sand Filtration-DBD Plasma System. Journal of Engineering and Technological Sciences.
2016. 2016; 48(1): 21-30.
[9] Lukes P, Clupek M, Sunka P, Peterka F, Sano T, Negishi N, Matsuzawa S, Takeuchi K. Pulsed
Corona Discharge in Combination with TiO photocatalysis. Res.Chem. Intermed. 2005; 31: 285-294.
[10] Li J, Sato M, Ohshima T. Degradation of Phenol in Water Using a Gas-Liquid Phase Pulsed
Discharge Plasma Reactor. Thin Solid Film. 2007; 515: 4283-4288.
[11] Sato M, Soutome T, Mii S, Ohshima T, Yamada N. Decomposition of Phenol in Water Using Water
Surface Plasma in Wetted-Wall Reactor. International Journal of Plasma Environmental Science &
Technology. 2007; 1: 71-75.
[12] Hazmi A, Desmiarti R, Waldi EP, Darwison D. Removal of Microorganisms in Drinking Water Using a
Pulsed High Voltage. Journal of Eng. Technol. Sci. 2013; 45(1): 1-8.
[13] Yulastri Y, Hazmi A, Desmiarti R. Application of Dieletric Barrier Discharge to Treat Palm Oil Mill
Effluent. Jurnal Teknik Elektro. 2013; 2(2): 46-50.
[14] Sato M. Degradation of Organic Contaminants in Water by Plasma. International Journal of Plasma
Environmental Science and Technology. 2009; 3(1): 8-14.
[15] Legrini O, Oliveros E, Braun AM. Photochemical Processes for Water Treatment. Chem. Rev. 1993;
93(2): 671-698.
[16] Wang J, Wan W. Effect of temperature on fermentative hydrogen production by mixed cultures. Int J
Hydrogen Energy. 2008; 33: 5392-5397.
[17] Ueno Y, Haruta S, Ishii M, Igarashi Y. Characterization of a microorganism isolated from the effluent
of hydrogen fermentation by microflora. Journal of Bioscience and Bioengineering. 2001; 92(4): 397-
400.
[18] Fang HHP, Liu H. Effect of pH on hydrogen production from glucose by a mixed culture. Bioresource
Technology. 2002; 82(1): 87-93.
[19] Sattar A, Arslan C, Ji C, Sattar S, Mari IA, Rashid H, Ilyas F. Comparing the bio-hydrogen production
potential of pretreated rice straw co-digested with seeded sludge using an anaerobic bioreactor under
mesophilic thermophilic conditions. Energies. 2016; 9: 198.
[20] Igoni A, Abowei M, Ayotamuno M, Eze C. Effect of total solids concentration of municipal solid waste
on the biogas produced in an anaerobic continuous digester. Agriculture Engineering Int. CIGR j.
2008: 7-10.
[21] Lattief FA. A study of biogas production from date fruit wastes. Journal of cleaner production. 2016;
139: 1191-1195.

More Related Content

What's hot

Deactivation Modeling through Separable Kinetics of Coking On Ni/CZ Catalyst ...
Deactivation Modeling through Separable Kinetics of Coking On Ni/CZ Catalyst ...Deactivation Modeling through Separable Kinetics of Coking On Ni/CZ Catalyst ...
Deactivation Modeling through Separable Kinetics of Coking On Ni/CZ Catalyst ...IOSR Journals
 
PerkinElmer Elemental Analysis of Various Classes of Chemical Compounds Using...
PerkinElmer Elemental Analysis of Various Classes of Chemical Compounds Using...PerkinElmer Elemental Analysis of Various Classes of Chemical Compounds Using...
PerkinElmer Elemental Analysis of Various Classes of Chemical Compounds Using...PerkinElmer, Inc.
 
67551071 au-gold cementation with zinc powder at low cyanide
67551071 au-gold cementation with zinc powder at low cyanide67551071 au-gold cementation with zinc powder at low cyanide
67551071 au-gold cementation with zinc powder at low cyanidesalarislideshare
 
2014_Belkheiri et al._Cellulose Chemistry and Technology
2014_Belkheiri et al._Cellulose Chemistry and Technology2014_Belkheiri et al._Cellulose Chemistry and Technology
2014_Belkheiri et al._Cellulose Chemistry and TechnologyHuyen Lyckeskog
 
V mn-mcm-41 catalyst for the vapor phase oxidation of o-xylene
V mn-mcm-41 catalyst for the vapor phase oxidation of o-xyleneV mn-mcm-41 catalyst for the vapor phase oxidation of o-xylene
V mn-mcm-41 catalyst for the vapor phase oxidation of o-xylenesunitha81
 
Hollow-Polyaniline-Sphere-Coated Sensor For Measuring Gas-Phase OH Radicals A...
Hollow-Polyaniline-Sphere-Coated Sensor For Measuring Gas-Phase OH Radicals A...Hollow-Polyaniline-Sphere-Coated Sensor For Measuring Gas-Phase OH Radicals A...
Hollow-Polyaniline-Sphere-Coated Sensor For Measuring Gas-Phase OH Radicals A...IJERA Editor
 
Absorption Rate of Carbon Dioxide from Gas Mixture
Absorption Rate of Carbon Dioxide from Gas MixtureAbsorption Rate of Carbon Dioxide from Gas Mixture
Absorption Rate of Carbon Dioxide from Gas MixtureScientific Review SR
 
A closed loop ammonium salt system for recovery of high-purity lead tetroxide...
A closed loop ammonium salt system for recovery of high-purity lead tetroxide...A closed loop ammonium salt system for recovery of high-purity lead tetroxide...
A closed loop ammonium salt system for recovery of high-purity lead tetroxide...Ary Assuncao
 
Crystallization behaviour of a polymeric membrane
Crystallization behaviour of a polymeric membraneCrystallization behaviour of a polymeric membrane
Crystallization behaviour of a polymeric membraneSHALU KATARIA
 
Synthesis, Characterization and Electrical Properties of Polyaniline Doped wi...
Synthesis, Characterization and Electrical Properties of Polyaniline Doped wi...Synthesis, Characterization and Electrical Properties of Polyaniline Doped wi...
Synthesis, Characterization and Electrical Properties of Polyaniline Doped wi...IJERA Editor
 

What's hot (16)

Maryam Bachelor thesis
Maryam Bachelor thesisMaryam Bachelor thesis
Maryam Bachelor thesis
 
Carbon importantae analisis
Carbon importantae analisisCarbon importantae analisis
Carbon importantae analisis
 
Alumina nanotubes
Alumina nanotubesAlumina nanotubes
Alumina nanotubes
 
Wang2009
Wang2009Wang2009
Wang2009
 
Deactivation Modeling through Separable Kinetics of Coking On Ni/CZ Catalyst ...
Deactivation Modeling through Separable Kinetics of Coking On Ni/CZ Catalyst ...Deactivation Modeling through Separable Kinetics of Coking On Ni/CZ Catalyst ...
Deactivation Modeling through Separable Kinetics of Coking On Ni/CZ Catalyst ...
 
PerkinElmer Elemental Analysis of Various Classes of Chemical Compounds Using...
PerkinElmer Elemental Analysis of Various Classes of Chemical Compounds Using...PerkinElmer Elemental Analysis of Various Classes of Chemical Compounds Using...
PerkinElmer Elemental Analysis of Various Classes of Chemical Compounds Using...
 
67551071 au-gold cementation with zinc powder at low cyanide
67551071 au-gold cementation with zinc powder at low cyanide67551071 au-gold cementation with zinc powder at low cyanide
67551071 au-gold cementation with zinc powder at low cyanide
 
2014_Belkheiri et al._Cellulose Chemistry and Technology
2014_Belkheiri et al._Cellulose Chemistry and Technology2014_Belkheiri et al._Cellulose Chemistry and Technology
2014_Belkheiri et al._Cellulose Chemistry and Technology
 
V mn-mcm-41 catalyst for the vapor phase oxidation of o-xylene
V mn-mcm-41 catalyst for the vapor phase oxidation of o-xyleneV mn-mcm-41 catalyst for the vapor phase oxidation of o-xylene
V mn-mcm-41 catalyst for the vapor phase oxidation of o-xylene
 
Hollow-Polyaniline-Sphere-Coated Sensor For Measuring Gas-Phase OH Radicals A...
Hollow-Polyaniline-Sphere-Coated Sensor For Measuring Gas-Phase OH Radicals A...Hollow-Polyaniline-Sphere-Coated Sensor For Measuring Gas-Phase OH Radicals A...
Hollow-Polyaniline-Sphere-Coated Sensor For Measuring Gas-Phase OH Radicals A...
 
C05521422
C05521422C05521422
C05521422
 
Absorption Rate of Carbon Dioxide from Gas Mixture
Absorption Rate of Carbon Dioxide from Gas MixtureAbsorption Rate of Carbon Dioxide from Gas Mixture
Absorption Rate of Carbon Dioxide from Gas Mixture
 
A closed loop ammonium salt system for recovery of high-purity lead tetroxide...
A closed loop ammonium salt system for recovery of high-purity lead tetroxide...A closed loop ammonium salt system for recovery of high-purity lead tetroxide...
A closed loop ammonium salt system for recovery of high-purity lead tetroxide...
 
Dahle2015
Dahle2015Dahle2015
Dahle2015
 
Crystallization behaviour of a polymeric membrane
Crystallization behaviour of a polymeric membraneCrystallization behaviour of a polymeric membrane
Crystallization behaviour of a polymeric membrane
 
Synthesis, Characterization and Electrical Properties of Polyaniline Doped wi...
Synthesis, Characterization and Electrical Properties of Polyaniline Doped wi...Synthesis, Characterization and Electrical Properties of Polyaniline Doped wi...
Synthesis, Characterization and Electrical Properties of Polyaniline Doped wi...
 

Similar to Preliminary Study on biogas production from POME by DBD plasma

Literature Survey, Power to Methanol.pdf
Literature Survey, Power to Methanol.pdfLiterature Survey, Power to Methanol.pdf
Literature Survey, Power to Methanol.pdfDevidasKhatri
 
PRESENTATION ON PLANT DESIGN FOR MANUFACTURING OF HYDROGEN
PRESENTATION ON PLANT DESIGN FOR MANUFACTURING OF HYDROGENPRESENTATION ON PLANT DESIGN FOR MANUFACTURING OF HYDROGEN
PRESENTATION ON PLANT DESIGN FOR MANUFACTURING OF HYDROGENPriyam Jyoti Borah
 
Treatment of Hospital Wastewater by Electro-Coagulation Technique
Treatment of Hospital Wastewater by Electro-Coagulation TechniqueTreatment of Hospital Wastewater by Electro-Coagulation Technique
Treatment of Hospital Wastewater by Electro-Coagulation TechniqueIRJET Journal
 
Treatment of sugar industry wastewater using
Treatment of sugar industry wastewater usingTreatment of sugar industry wastewater using
Treatment of sugar industry wastewater usingeSAT Publishing House
 
Performance of a two Chambers Reactor for the Treatment of an Oily Effluent b...
Performance of a two Chambers Reactor for the Treatment of an Oily Effluent b...Performance of a two Chambers Reactor for the Treatment of an Oily Effluent b...
Performance of a two Chambers Reactor for the Treatment of an Oily Effluent b...IJAEMSJORNAL
 
Paper id 41201605
Paper id 41201605Paper id 41201605
Paper id 41201605IJRAT
 
Simultaneous Electrochemical Measurement using Paper Fluidic Channel on CMOS ...
Simultaneous Electrochemical Measurement using Paper Fluidic Channel on CMOS ...Simultaneous Electrochemical Measurement using Paper Fluidic Channel on CMOS ...
Simultaneous Electrochemical Measurement using Paper Fluidic Channel on CMOS ...TELKOMNIKA JOURNAL
 
Thermal regeneration of activated carbon saturated with nitrate ions from an ...
Thermal regeneration of activated carbon saturated with nitrate ions from an ...Thermal regeneration of activated carbon saturated with nitrate ions from an ...
Thermal regeneration of activated carbon saturated with nitrate ions from an ...IJAEMSJORNAL
 
Final MS Presentation.pptx
Final MS Presentation.pptxFinal MS Presentation.pptx
Final MS Presentation.pptxZahidMasood17
 
Water Gas Shift Reaction Characteristics Using Syngas from Waste Gasification
Water Gas Shift Reaction Characteristics Using Syngas from Waste Gasification Water Gas Shift Reaction Characteristics Using Syngas from Waste Gasification
Water Gas Shift Reaction Characteristics Using Syngas from Waste Gasification inventionjournals
 
Thermo catalytic decomposition of methane over Pd/AC and Pd/CB catalysts for ...
Thermo catalytic decomposition of methane over Pd/AC and Pd/CB catalysts for ...Thermo catalytic decomposition of methane over Pd/AC and Pd/CB catalysts for ...
Thermo catalytic decomposition of methane over Pd/AC and Pd/CB catalysts for ...IJERA Editor
 
Mathematical modeling of a solid oxide fuel cell operating on biogas
Mathematical modeling of a solid oxide fuel cell operating on biogasMathematical modeling of a solid oxide fuel cell operating on biogas
Mathematical modeling of a solid oxide fuel cell operating on biogasjournalBEEI
 
H0409 05 5660
H0409 05 5660H0409 05 5660
H0409 05 5660IJMER
 
Nanostructured composite materials for CO2 activation
Nanostructured composite materials for CO2 activationNanostructured composite materials for CO2 activation
Nanostructured composite materials for CO2 activationPawan Kumar
 
[Chemical and process engineering] pdu scale experimental results of co2 remo...
[Chemical and process engineering] pdu scale experimental results of co2 remo...[Chemical and process engineering] pdu scale experimental results of co2 remo...
[Chemical and process engineering] pdu scale experimental results of co2 remo...Institute of Chemical Technology
 

Similar to Preliminary Study on biogas production from POME by DBD plasma (20)

Literature Survey, Power to Methanol.pdf
Literature Survey, Power to Methanol.pdfLiterature Survey, Power to Methanol.pdf
Literature Survey, Power to Methanol.pdf
 
PRESENTATION ON PLANT DESIGN FOR MANUFACTURING OF HYDROGEN
PRESENTATION ON PLANT DESIGN FOR MANUFACTURING OF HYDROGENPRESENTATION ON PLANT DESIGN FOR MANUFACTURING OF HYDROGEN
PRESENTATION ON PLANT DESIGN FOR MANUFACTURING OF HYDROGEN
 
1.pdf
1.pdf1.pdf
1.pdf
 
Fuel Cell
Fuel CellFuel Cell
Fuel Cell
 
Treatment of Hospital Wastewater by Electro-Coagulation Technique
Treatment of Hospital Wastewater by Electro-Coagulation TechniqueTreatment of Hospital Wastewater by Electro-Coagulation Technique
Treatment of Hospital Wastewater by Electro-Coagulation Technique
 
Treatment of sugar industry wastewater using
Treatment of sugar industry wastewater usingTreatment of sugar industry wastewater using
Treatment of sugar industry wastewater using
 
20320140501001
2032014050100120320140501001
20320140501001
 
Performance of a two Chambers Reactor for the Treatment of an Oily Effluent b...
Performance of a two Chambers Reactor for the Treatment of an Oily Effluent b...Performance of a two Chambers Reactor for the Treatment of an Oily Effluent b...
Performance of a two Chambers Reactor for the Treatment of an Oily Effluent b...
 
Paper id 41201605
Paper id 41201605Paper id 41201605
Paper id 41201605
 
408madunavalkaj
408madunavalkaj408madunavalkaj
408madunavalkaj
 
Simultaneous Electrochemical Measurement using Paper Fluidic Channel on CMOS ...
Simultaneous Electrochemical Measurement using Paper Fluidic Channel on CMOS ...Simultaneous Electrochemical Measurement using Paper Fluidic Channel on CMOS ...
Simultaneous Electrochemical Measurement using Paper Fluidic Channel on CMOS ...
 
Thermal regeneration of activated carbon saturated with nitrate ions from an ...
Thermal regeneration of activated carbon saturated with nitrate ions from an ...Thermal regeneration of activated carbon saturated with nitrate ions from an ...
Thermal regeneration of activated carbon saturated with nitrate ions from an ...
 
Final MS Presentation.pptx
Final MS Presentation.pptxFinal MS Presentation.pptx
Final MS Presentation.pptx
 
Water Gas Shift Reaction Characteristics Using Syngas from Waste Gasification
Water Gas Shift Reaction Characteristics Using Syngas from Waste Gasification Water Gas Shift Reaction Characteristics Using Syngas from Waste Gasification
Water Gas Shift Reaction Characteristics Using Syngas from Waste Gasification
 
JSEHR 1(1)-5
JSEHR 1(1)-5JSEHR 1(1)-5
JSEHR 1(1)-5
 
Thermo catalytic decomposition of methane over Pd/AC and Pd/CB catalysts for ...
Thermo catalytic decomposition of methane over Pd/AC and Pd/CB catalysts for ...Thermo catalytic decomposition of methane over Pd/AC and Pd/CB catalysts for ...
Thermo catalytic decomposition of methane over Pd/AC and Pd/CB catalysts for ...
 
Mathematical modeling of a solid oxide fuel cell operating on biogas
Mathematical modeling of a solid oxide fuel cell operating on biogasMathematical modeling of a solid oxide fuel cell operating on biogas
Mathematical modeling of a solid oxide fuel cell operating on biogas
 
H0409 05 5660
H0409 05 5660H0409 05 5660
H0409 05 5660
 
Nanostructured composite materials for CO2 activation
Nanostructured composite materials for CO2 activationNanostructured composite materials for CO2 activation
Nanostructured composite materials for CO2 activation
 
[Chemical and process engineering] pdu scale experimental results of co2 remo...
[Chemical and process engineering] pdu scale experimental results of co2 remo...[Chemical and process engineering] pdu scale experimental results of co2 remo...
[Chemical and process engineering] pdu scale experimental results of co2 remo...
 

More from TELKOMNIKA JOURNAL

Amazon products reviews classification based on machine learning, deep learni...
Amazon products reviews classification based on machine learning, deep learni...Amazon products reviews classification based on machine learning, deep learni...
Amazon products reviews classification based on machine learning, deep learni...TELKOMNIKA JOURNAL
 
Design, simulation, and analysis of microstrip patch antenna for wireless app...
Design, simulation, and analysis of microstrip patch antenna for wireless app...Design, simulation, and analysis of microstrip patch antenna for wireless app...
Design, simulation, and analysis of microstrip patch antenna for wireless app...TELKOMNIKA JOURNAL
 
Design and simulation an optimal enhanced PI controller for congestion avoida...
Design and simulation an optimal enhanced PI controller for congestion avoida...Design and simulation an optimal enhanced PI controller for congestion avoida...
Design and simulation an optimal enhanced PI controller for congestion avoida...TELKOMNIKA JOURNAL
 
Improving the detection of intrusion in vehicular ad-hoc networks with modifi...
Improving the detection of intrusion in vehicular ad-hoc networks with modifi...Improving the detection of intrusion in vehicular ad-hoc networks with modifi...
Improving the detection of intrusion in vehicular ad-hoc networks with modifi...TELKOMNIKA JOURNAL
 
Conceptual model of internet banking adoption with perceived risk and trust f...
Conceptual model of internet banking adoption with perceived risk and trust f...Conceptual model of internet banking adoption with perceived risk and trust f...
Conceptual model of internet banking adoption with perceived risk and trust f...TELKOMNIKA JOURNAL
 
Efficient combined fuzzy logic and LMS algorithm for smart antenna
Efficient combined fuzzy logic and LMS algorithm for smart antennaEfficient combined fuzzy logic and LMS algorithm for smart antenna
Efficient combined fuzzy logic and LMS algorithm for smart antennaTELKOMNIKA JOURNAL
 
Design and implementation of a LoRa-based system for warning of forest fire
Design and implementation of a LoRa-based system for warning of forest fireDesign and implementation of a LoRa-based system for warning of forest fire
Design and implementation of a LoRa-based system for warning of forest fireTELKOMNIKA JOURNAL
 
Wavelet-based sensing technique in cognitive radio network
Wavelet-based sensing technique in cognitive radio networkWavelet-based sensing technique in cognitive radio network
Wavelet-based sensing technique in cognitive radio networkTELKOMNIKA JOURNAL
 
A novel compact dual-band bandstop filter with enhanced rejection bands
A novel compact dual-band bandstop filter with enhanced rejection bandsA novel compact dual-band bandstop filter with enhanced rejection bands
A novel compact dual-band bandstop filter with enhanced rejection bandsTELKOMNIKA JOURNAL
 
Deep learning approach to DDoS attack with imbalanced data at the application...
Deep learning approach to DDoS attack with imbalanced data at the application...Deep learning approach to DDoS attack with imbalanced data at the application...
Deep learning approach to DDoS attack with imbalanced data at the application...TELKOMNIKA JOURNAL
 
Brief note on match and miss-match uncertainties
Brief note on match and miss-match uncertaintiesBrief note on match and miss-match uncertainties
Brief note on match and miss-match uncertaintiesTELKOMNIKA JOURNAL
 
Implementation of FinFET technology based low power 4×4 Wallace tree multipli...
Implementation of FinFET technology based low power 4×4 Wallace tree multipli...Implementation of FinFET technology based low power 4×4 Wallace tree multipli...
Implementation of FinFET technology based low power 4×4 Wallace tree multipli...TELKOMNIKA JOURNAL
 
Evaluation of the weighted-overlap add model with massive MIMO in a 5G system
Evaluation of the weighted-overlap add model with massive MIMO in a 5G systemEvaluation of the weighted-overlap add model with massive MIMO in a 5G system
Evaluation of the weighted-overlap add model with massive MIMO in a 5G systemTELKOMNIKA JOURNAL
 
Reflector antenna design in different frequencies using frequency selective s...
Reflector antenna design in different frequencies using frequency selective s...Reflector antenna design in different frequencies using frequency selective s...
Reflector antenna design in different frequencies using frequency selective s...TELKOMNIKA JOURNAL
 
Reagentless iron detection in water based on unclad fiber optical sensor
Reagentless iron detection in water based on unclad fiber optical sensorReagentless iron detection in water based on unclad fiber optical sensor
Reagentless iron detection in water based on unclad fiber optical sensorTELKOMNIKA JOURNAL
 
Impact of CuS counter electrode calcination temperature on quantum dot sensit...
Impact of CuS counter electrode calcination temperature on quantum dot sensit...Impact of CuS counter electrode calcination temperature on quantum dot sensit...
Impact of CuS counter electrode calcination temperature on quantum dot sensit...TELKOMNIKA JOURNAL
 
A progressive learning for structural tolerance online sequential extreme lea...
A progressive learning for structural tolerance online sequential extreme lea...A progressive learning for structural tolerance online sequential extreme lea...
A progressive learning for structural tolerance online sequential extreme lea...TELKOMNIKA JOURNAL
 
Electroencephalography-based brain-computer interface using neural networks
Electroencephalography-based brain-computer interface using neural networksElectroencephalography-based brain-computer interface using neural networks
Electroencephalography-based brain-computer interface using neural networksTELKOMNIKA JOURNAL
 
Adaptive segmentation algorithm based on level set model in medical imaging
Adaptive segmentation algorithm based on level set model in medical imagingAdaptive segmentation algorithm based on level set model in medical imaging
Adaptive segmentation algorithm based on level set model in medical imagingTELKOMNIKA JOURNAL
 
Automatic channel selection using shuffled frog leaping algorithm for EEG bas...
Automatic channel selection using shuffled frog leaping algorithm for EEG bas...Automatic channel selection using shuffled frog leaping algorithm for EEG bas...
Automatic channel selection using shuffled frog leaping algorithm for EEG bas...TELKOMNIKA JOURNAL
 

More from TELKOMNIKA JOURNAL (20)

Amazon products reviews classification based on machine learning, deep learni...
Amazon products reviews classification based on machine learning, deep learni...Amazon products reviews classification based on machine learning, deep learni...
Amazon products reviews classification based on machine learning, deep learni...
 
Design, simulation, and analysis of microstrip patch antenna for wireless app...
Design, simulation, and analysis of microstrip patch antenna for wireless app...Design, simulation, and analysis of microstrip patch antenna for wireless app...
Design, simulation, and analysis of microstrip patch antenna for wireless app...
 
Design and simulation an optimal enhanced PI controller for congestion avoida...
Design and simulation an optimal enhanced PI controller for congestion avoida...Design and simulation an optimal enhanced PI controller for congestion avoida...
Design and simulation an optimal enhanced PI controller for congestion avoida...
 
Improving the detection of intrusion in vehicular ad-hoc networks with modifi...
Improving the detection of intrusion in vehicular ad-hoc networks with modifi...Improving the detection of intrusion in vehicular ad-hoc networks with modifi...
Improving the detection of intrusion in vehicular ad-hoc networks with modifi...
 
Conceptual model of internet banking adoption with perceived risk and trust f...
Conceptual model of internet banking adoption with perceived risk and trust f...Conceptual model of internet banking adoption with perceived risk and trust f...
Conceptual model of internet banking adoption with perceived risk and trust f...
 
Efficient combined fuzzy logic and LMS algorithm for smart antenna
Efficient combined fuzzy logic and LMS algorithm for smart antennaEfficient combined fuzzy logic and LMS algorithm for smart antenna
Efficient combined fuzzy logic and LMS algorithm for smart antenna
 
Design and implementation of a LoRa-based system for warning of forest fire
Design and implementation of a LoRa-based system for warning of forest fireDesign and implementation of a LoRa-based system for warning of forest fire
Design and implementation of a LoRa-based system for warning of forest fire
 
Wavelet-based sensing technique in cognitive radio network
Wavelet-based sensing technique in cognitive radio networkWavelet-based sensing technique in cognitive radio network
Wavelet-based sensing technique in cognitive radio network
 
A novel compact dual-band bandstop filter with enhanced rejection bands
A novel compact dual-band bandstop filter with enhanced rejection bandsA novel compact dual-band bandstop filter with enhanced rejection bands
A novel compact dual-band bandstop filter with enhanced rejection bands
 
Deep learning approach to DDoS attack with imbalanced data at the application...
Deep learning approach to DDoS attack with imbalanced data at the application...Deep learning approach to DDoS attack with imbalanced data at the application...
Deep learning approach to DDoS attack with imbalanced data at the application...
 
Brief note on match and miss-match uncertainties
Brief note on match and miss-match uncertaintiesBrief note on match and miss-match uncertainties
Brief note on match and miss-match uncertainties
 
Implementation of FinFET technology based low power 4×4 Wallace tree multipli...
Implementation of FinFET technology based low power 4×4 Wallace tree multipli...Implementation of FinFET technology based low power 4×4 Wallace tree multipli...
Implementation of FinFET technology based low power 4×4 Wallace tree multipli...
 
Evaluation of the weighted-overlap add model with massive MIMO in a 5G system
Evaluation of the weighted-overlap add model with massive MIMO in a 5G systemEvaluation of the weighted-overlap add model with massive MIMO in a 5G system
Evaluation of the weighted-overlap add model with massive MIMO in a 5G system
 
Reflector antenna design in different frequencies using frequency selective s...
Reflector antenna design in different frequencies using frequency selective s...Reflector antenna design in different frequencies using frequency selective s...
Reflector antenna design in different frequencies using frequency selective s...
 
Reagentless iron detection in water based on unclad fiber optical sensor
Reagentless iron detection in water based on unclad fiber optical sensorReagentless iron detection in water based on unclad fiber optical sensor
Reagentless iron detection in water based on unclad fiber optical sensor
 
Impact of CuS counter electrode calcination temperature on quantum dot sensit...
Impact of CuS counter electrode calcination temperature on quantum dot sensit...Impact of CuS counter electrode calcination temperature on quantum dot sensit...
Impact of CuS counter electrode calcination temperature on quantum dot sensit...
 
A progressive learning for structural tolerance online sequential extreme lea...
A progressive learning for structural tolerance online sequential extreme lea...A progressive learning for structural tolerance online sequential extreme lea...
A progressive learning for structural tolerance online sequential extreme lea...
 
Electroencephalography-based brain-computer interface using neural networks
Electroencephalography-based brain-computer interface using neural networksElectroencephalography-based brain-computer interface using neural networks
Electroencephalography-based brain-computer interface using neural networks
 
Adaptive segmentation algorithm based on level set model in medical imaging
Adaptive segmentation algorithm based on level set model in medical imagingAdaptive segmentation algorithm based on level set model in medical imaging
Adaptive segmentation algorithm based on level set model in medical imaging
 
Automatic channel selection using shuffled frog leaping algorithm for EEG bas...
Automatic channel selection using shuffled frog leaping algorithm for EEG bas...Automatic channel selection using shuffled frog leaping algorithm for EEG bas...
Automatic channel selection using shuffled frog leaping algorithm for EEG bas...
 

Recently uploaded

Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxupamatechverse
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxpranjaldaimarysona
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learningmisbanausheenparvam
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxupamatechverse
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...Soham Mondal
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidNikhilNagaraju
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )Tsuyoshi Horigome
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxpurnimasatapathy1234
 
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSKurinjimalarL3
 
Analog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog ConverterAnalog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog ConverterAbhinavSharma374939
 
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Christo Ananth
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSSIVASHANKAR N
 
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations120cr0395
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130Suhani Kapoor
 

Recently uploaded (20)

Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
 
Roadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and RoutesRoadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and Routes
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
 
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
 
Analog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog ConverterAnalog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog Converter
 
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
 
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
 

Preliminary Study on biogas production from POME by DBD plasma

  • 1. TELKOMNIKA, Vol.15, No.2, June 2017, pp. 554~559 ISSN: 1693-6930, accredited A by DIKTI, Decree No: 58/DIKTI/Kep/2013 DOI: 10.12928/TELKOMNIKA.v15i2.5574  554 Received January 5, 2017; Revised March 18, 2017; Accepted April 1, 2017 Preliminary Study on biogas production from POME by DBD plasma Ariadi Hazmi* 1 , Reni Desmiarti 2 , Primas Emeraldi 3 , Muhammad Imran Hamid 4 , Edwardo 5 Eka Putra Waldi 6 1,3,4,5,6 Andalas University, Padang 25163, Indonesia 2 Bung Hatta University, Indonesia *Corresponding author, e-mail: ariadi@ft.unand.ac.id Abstract A new technology to produce biogas using a dielectric barrier discharge (DBD) plasma system from palm oil mill effluent (POME) was investigated. The batch experiments were examined at applied voltages of 15, 20 and 25 kV. The results showed that the highest yields of hydrogen and methane were achieved at an applied voltage of 25 kV after 1 hour were 2.42 and 1.32 mL/mL of POME, respectively. The biogas was composed of 65% hydrogen and 35% methane. In order to make the results of this study applicable to biogas plants, the effects of flowrate and consumed energy are important parameters that should be further investigated in a future study. Keywords: POME, plasma, dielectric barrier discharge, biogas production Copyright © 2017 Universitas Ahmad Dahlan. All rights reserved. 1. Introduction Indonesia’s palm oil industry is developing rapidly due to Indonesia being the largest palm oil producer in the world [1]. Each ton of crude palm oil (CPO) creates approximately 2.5 m 3 of POME, which is considered wastewater. POME wastewater can cause serious water pollution because it contains high levels of organic contents such as high chemical oxygen demand (COD), biochemical oxygen demand (BOD), and oil-grease. However, there is an opportunity to convert the wastewater from POME into biogases, such as hydrogen and methane gas, as potential sources of renewable energy. Generally, conventional methods are used in the palm oil industry for the treatment of POME to produce biogas, such as open ponding, anaerobic and aerobic systems, or combinations of both. The advantage of these methods is that biological treatment is easy, but disadvantages are that they require a long hydraulic retention time (HRT) and a large area of land [2-5]. Furthermore, Budiman and Wu [6] and Norfadilah et al, [7] reported that the treatment of POME to produce biogas required between 1 and 10 days, respectively. Recently, Hazmi et al, [8] have successfully demonstrated how POME can be treated using a combined sand filtration-DBD plasma system. This system is not only able to reduce the HRT for treatment of COD, BOD5 and oil-grease to achieve standard water quality but also produce biogases. This paper reports an investigation of biogas production from POME using a DBD plasma system. The DBD plasma system is generated by electrical discharges in a liquid in order to produce ions and active species that are oxidizing radicals (H and OH) and molecules (H2O2, O3, etc.) to improve the chemical reaction speed. These chemical reactants are effective in degrading organic compounds in POME [9-12]. The purpose of this work was to investigate the performance of the DBD plasma system as an alternative method for producing biogas from POME. Comparison of our investigation result with other methods of previous studies is reported. 2. Materials and Methods The POME used in this study was similar to that used by Hazmi et al [8]. The POME was taken after the fat-grease pit from the wastewater treatment system in Padang, Indonesia. A summary of the POME characteristics is shown in Table 1.
  • 2. TELKOMNIKA ISSN: 1693-6930  Preliminary Study on biogas production from POME by DBD plasma (Ariadi Hazmi) 555 A schematic diagram of the experimental setup is depicted in Figure 1. Upper needle electrodes and a lower plane electrode were connected to a high voltage with a frequency system of 50 Hz and ground, respectively. A needle-plane electrode system was used with a distance of 5 mm between the needle and the POME surface. The needle electrode was made of 1 mm diameter stainless steel and the plane electrode was made of 1 mm thick stainless steel. The applied voltages and discharge currents were recorded using an oscilloscope (TDS5104 Tektronix) through a high-voltage probe (P6015A Tektronix) and a current probe (P6022 Tektronix). The applied voltages were set at 15, 20 and 25 kV. A bigger acrylic container with a storage volume of about 3500 mL was used as the DBD reactor. The volume of the POME in the DBD reactor was 1000 mL. Furthermore, a smaller acrylic container with a storage volume of about 1500 mL was used as gas storage. The hydrogen and methane gas concentrations were detected by commercial MQ8 and MQ4 gas sensors (Hanwei), respectively. In addition, an air pressure sensor (BMP180 Bosch) was used to detect the air pressure change in the acrylic container. All sensors were connected to a data logger (ADC24 Pico) to record the conductivity change related to the electrical output signal of gas concentrations in the storage container every second for one hour, controlled by a personal computer (PC). Figure 3 shows the voltage variations to generate the discharge current in the DBD reactor. Table 1. Characteristics of POME after oil-grease pit [13] Parameter Unit Value pH 3.9 BOD5 mg/L 251.4 COD mg/L 440.8 Oil-grease mg/L 132.4 Oxidation Reduction Potential (ORP) mV 162.3 Electrostatic Conductivity (EC) S/cm 64.8 Total Dissolved Solid (TDS) mg/L 32.400 Figure 1. Schematic diagram of experimental setup 3. Results and Discussion The experiment investigated the discharge current in the DBD reactor and the product yield in the biogas storage with variations of applied voltage and time. The discharge current of the applied voltage in the DBD reactor was recorded by oscilloscope through voltage and current probes, while the product yield in the biogas storage detected by the gas sensors was recorded by a data logger. 3.1. Discharge Current Characteristics Figure 2a shows that a discharge current pulse train of about 8 A occurred at an applied AC voltage of 25 kV. It can be seen that the discharge current took place around the peaks of AC POME Data logger Oscilloscope PC Biogas storage Gas sensors DBD Reactor Airpressure sensor Voltageprobe Current probe
  • 3.  ISSN: 1693-6930 TELKOMNIKA Vol. 15, No. 2, June 2017 : 554 – 559 556 the applied voltage for both the positive and the negative half cycles, distributed around the phase of 0-360°. The discharge current pulse increased with the increase of the voltage applied to the reactor, causing the POME decomposition rate to increase with an increase of the treatment time. The discharge current on the POME surface produced UV and many active species with high oxidation potential ions and molecules such as ozone (O3), hydrogen peroxide (H2O2), hydroxyl radical (OH - ), and perhydroxyl radical (H + ), which effectively decompose organic compounds [14]. The final products of the decomposition process were water, inorganic salts [15], and biogases such as hydrogen (H2), methane (CH4) and carbon monoxide (CO). In Figure 2b, the plasma discharges origin from the needle tip on the POME surface is displayed. (a) (b) Figure 2. Waveform for the applied voltage of 25 kV (a) The discharge current was recorded on one cycle of the sinusoidal waveform; (b) Plasma discharges occured between the needle tip and the POME surface 3.2. Profile of Temperature and Air Pressure Figure 3 displays the profile of the temperature and the air pressure in the container. Figure 3 shows that slight changes in temperature and air pressure occurred in the gas container. The temperature increased with an increase in time, while the air pressure decreased with an increase in time. The decreasing air pressure indicated that there was increasing gas volume in the container due to the oxidation process in the POME producing several gases. We predict that the changes in temperature and air pressure are due to the production of biogases such as hydrogen and methane gas in the plasma reactor during the experiment. 3.3. The Effects of Applied Voltage on Yield Production of H2 and CH4 A previous study [8] found that the removal efficiency of COD, BOD5 and oil-grease was 61, 63 and 62% with the applied voltage at 19 kV in the DBD plasma system. The concentration of COD was 304 to 163 mg/L and indicated that a decrease of COD was followed by formation of hydrogen and methane. Similar results have been reported by other researchers, such as hydrogen production using fermentation under mesophilic condition at 37 °C [7, 16] and under thermophilic condition at 55 C [17-19]. It was concluded that the degradation rate of POME increased with an increased voltage. To increase biogas production, the applied voltage was selected at 15, 20 and 25 kV in a batch experiment based on previous studies [8,12]. Figure 4 illustrates the applied voltage effect on the yield of hydrogen (a) and methane (b). Figure 4a shows that the yield of hydrogen increased from 0.12, 0.69 and 0.83 mL H2/mL POME after 30 minutes with the applied voltage at 15, 20 and 25 kV, respectively, and continuously increased until 60 minutes. Figure 4b shows that the yield of methane increased from 0.01, 0.06 and 0.21 mL CH4/mL POME after 30 minutes with the applied voltage at 15, 20 and 25 kV, respectively. The highest yield of biogas in this experiment was achieved when the applied voltage was 25 kV. The effect of applied voltage on biogas yield is displayed in Figure 5. The biogas comprised mostly of hydrogen and methane. 0 60 120 180 240 300 360 -30 -20 -10 0 10 20 30 Phase (degree) Appliedvoltage(kV) -12 -8 -4 0 4 8 12 Dischargecurrent(A)
  • 4. TELKOMNIKA ISSN: 1693-6930  Preliminary Study on biogas production from POME by DBD plasma (Ariadi Hazmi) 557 Figure 3. Profile of temperature and air pressure in the container at 25 kV of applied voltage. (a) Change of temperature in one hour; (b) Change of air pressure in one hour. Figure 4. Profiles of biogas production. The applied voltage was set at 15, 20 and 25 kV. (a) Yield production of H2; (b) Yield production of CH4. Table 2 shows a comparison of the biogas yield from different processes and substrates. The processing time in the present study was 6-238 times faster compared with the results using batch fermentation in a continuous process in previous studies. In the previous studies, the production of hydrogen based on processing time was lower than in the present study. Biogas production using a fermentation process depends on substrate concentration, volume of inoculum, pH and temperature [16]. The fermentation process also needs more time to degrade the substrate using microorganisms and produce biogas following hydrolysis, acidognesis and methanogenesis [20]. For this process, Lattif et al [21] investigated biogas production from date palm fruit waste. Their results confirmed a biogas composition with 63% methane; the system should be well controlled under mesophilic condition (37 C). In our study, the biogas composition consisted of 65% hydrogen and 35% methane and a small amount of carbon monoxide. In a future study, an attempt could be made to remove the carbon monoxide using absorption. 0 10 20 30 40 50 60 30.7 30.8 30.9 31.0 31.1 31.2 31.3 0 10 20 30 40 50 60 976.2 976.4 976.6 976.8 977.0 977.2 Temperature(o C) Time (Minute) (a) (b) Airpressure(mbar) Time (Minute)
  • 5.  ISSN: 1693-6930 TELKOMNIKA Vol. 15, No. 2, June 2017 : 554 – 559 558 Figure 5. The effects of applied voltage on yield production of H2, CH4 and CO Table 2. Comparison of biogas production with references Process Substrate Processing time (day) Yield (mL/mL POME) Gas Composition (%) Reference H2 CH4 H2 CH4 CO2 DBD at 25 kV POME 0.042 2.42 1.32 65 35 - This study Batch fermentation POME 10 5.99 - 36 - 64 Norfadilah et al., [7] Continuous fermentation Rice straw 1.96a 7.1 - - - - Sattar et al., [19] Ultrasonification pretreatment following Photofermentation POME 1b 8.72 - - - - Budiman and Wu [6] Continuous fermentation Glucose 0.25b 2.1c - - 13 87 Fang and Liu., [18] Continuous fermentation Glucose 0.5b 2.39c - 64 - 36 Ueno et al., [17] a Hydraulic retention time b In mol/mol glucose c in mL/volatile solid 4. Conclusion The effect of applied voltage on biogas production from POME was studied using a DBD plasma system. Increasing the applied voltage caused an increase in the yield of hydrogen and methane. The highest hydrogen and methane yields were 65% and 35%, respectively. Biogas production using the DBD plasma system was 6-238 times faster than conventional processes such as fermentation. In future studies, the effect of flowrate and consumed energy should be further investigated. Acknowledgements The authors would like to thank Andalas University for supporting this work with grant no. 003/UN.16.09.D/PL/2016. Thanks also go to all student members of the High Voltage Laboratory of Electrical Engineering, Andalas University. References [1] Ahmed Y, Yaakob Z, Akhtar P, Sopian K. Production of biogas and performance evaluation of existing treatment processes in palm oil mill effluent (POME). Renewable and Sustainable Energy Reviews. 2015; 42: 1260-1278. [2] Wu YT, Muhammad AW, Jahim JM, Anuar N. Pollution Control Technologies for the Treatment of Palm Oil Mill Effluent (POME) through End-of-Pipe Processes. Journal of Environmental Management. 2010; 91: 1467-1490. 0.0 0.5 1.0 1.5 2.0 2.5 3.0 15 kV 20 kV 25 kV Yield(mL/mLPOME) Processing time 60 minutes H2 CH4 CO
  • 6. TELKOMNIKA ISSN: 1693-6930  Preliminary Study on biogas production from POME by DBD plasma (Ariadi Hazmi) 559 [3] Desmiarti R. Combination of Anaerobic Process and Membrane Filtration for Treatment Palm Oil Mill Effluent (POME). Magister Thesis. Indonesia: Chem. Eng. Department of Institut Teknologi Bandung; 1999. [4] Abdurrahman NH, Rosli YM, Azhari NH. Development of a Membrane Anaerobic System (MAS) for Palm Oil Mill Effluent (POME) Treatment. Desalination. 2011; 266: 208-212. [5] Chena C, Guoa W, Ngoa HH, Leeb DJ, Tungb KL, Jinc P, Wang DJ, Wud Y. Challenges in biogas production from anaerobic membrane bioreactors. Renewable Energy. 2016; 98: 120-134. [6] Budiman PM, Wu TY. Ultrasonication pre-treatment of combined effluents from palm oil, pulp and paper mills for improving photofermentative biohydrogen production. Energy Conversion and Management. 2016; 119(1): 142-150. [7] Norfadilah N, Raheem A, Harun R, Ahmadun FR. Bio-hydrogen production from palm oil mill effluent (POME): A preliminary study. International Journal of Hydrogen Energy. 2016; 41(28): 11960-11964. [8] Hazmi A, Desmiarti R, Waldi EP, Emeraldi P. Preliminary Study on Treatment of Palm Oil Mill Effluent (POME) by Sand Filtration-DBD Plasma System. Journal of Engineering and Technological Sciences. 2016. 2016; 48(1): 21-30. [9] Lukes P, Clupek M, Sunka P, Peterka F, Sano T, Negishi N, Matsuzawa S, Takeuchi K. Pulsed Corona Discharge in Combination with TiO photocatalysis. Res.Chem. Intermed. 2005; 31: 285-294. [10] Li J, Sato M, Ohshima T. Degradation of Phenol in Water Using a Gas-Liquid Phase Pulsed Discharge Plasma Reactor. Thin Solid Film. 2007; 515: 4283-4288. [11] Sato M, Soutome T, Mii S, Ohshima T, Yamada N. Decomposition of Phenol in Water Using Water Surface Plasma in Wetted-Wall Reactor. International Journal of Plasma Environmental Science & Technology. 2007; 1: 71-75. [12] Hazmi A, Desmiarti R, Waldi EP, Darwison D. Removal of Microorganisms in Drinking Water Using a Pulsed High Voltage. Journal of Eng. Technol. Sci. 2013; 45(1): 1-8. [13] Yulastri Y, Hazmi A, Desmiarti R. Application of Dieletric Barrier Discharge to Treat Palm Oil Mill Effluent. Jurnal Teknik Elektro. 2013; 2(2): 46-50. [14] Sato M. Degradation of Organic Contaminants in Water by Plasma. International Journal of Plasma Environmental Science and Technology. 2009; 3(1): 8-14. [15] Legrini O, Oliveros E, Braun AM. Photochemical Processes for Water Treatment. Chem. Rev. 1993; 93(2): 671-698. [16] Wang J, Wan W. Effect of temperature on fermentative hydrogen production by mixed cultures. Int J Hydrogen Energy. 2008; 33: 5392-5397. [17] Ueno Y, Haruta S, Ishii M, Igarashi Y. Characterization of a microorganism isolated from the effluent of hydrogen fermentation by microflora. Journal of Bioscience and Bioengineering. 2001; 92(4): 397- 400. [18] Fang HHP, Liu H. Effect of pH on hydrogen production from glucose by a mixed culture. Bioresource Technology. 2002; 82(1): 87-93. [19] Sattar A, Arslan C, Ji C, Sattar S, Mari IA, Rashid H, Ilyas F. Comparing the bio-hydrogen production potential of pretreated rice straw co-digested with seeded sludge using an anaerobic bioreactor under mesophilic thermophilic conditions. Energies. 2016; 9: 198. [20] Igoni A, Abowei M, Ayotamuno M, Eze C. Effect of total solids concentration of municipal solid waste on the biogas produced in an anaerobic continuous digester. Agriculture Engineering Int. CIGR j. 2008: 7-10. [21] Lattief FA. A study of biogas production from date fruit wastes. Journal of cleaner production. 2016; 139: 1191-1195.