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International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019]
https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304
www.ijcmes.com Page | 32
Anaerobic Co-Digestion of Cassava Waste
Water and Abdominal Cow Dung under
Changing Meteorological Parameters
Cordelia Nnennaya Mama* and Jonah Chukwuemeka Agunwamba
Department of Civil Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria
*Corresponding Author: cordelia.mama@unn.edu.ng
Abstract— Anaerobic co-digestion of cassava waste
water (CWW) and abdominal cow dung (ACD)in different
proportions was studied in five treatments under
changing meteorological conditions. The five treatment
cases T1: 100% CWW; T2: 100% ACD; T3: 90%CWW
+10%ACD; T4:70%CWW+30%ACD; T5:
50%CWW+50%ACD were digested under anaerobic
conditions in model batch, metallic bio digesters of same
working volume (32.0 liters) for 30 days retention period.
Results indicated that T2 system flamed on the 20th day,
T5 on the 20th day while T1, T4 and T3 systems didn’t
flame. T1 had cumulative gas yield of 12.7 liters; T2 had
28.85 liters; T3 had 12.5 liters,T4 had 11.1 liters while T5
had cumulative gas yield of 15.8 liters per 24kg mass of
slurry. T2had 91.20% methane; while T5 produced
92.999% methane. Daily biogas yields were modeled as
functionsof meteorological parameters.Results indicated
that many parameters showed good correlations with
ambient temperature.
Keywords— Cassava Wastewater, Abdominal Cow
Dung, Ambient Temperature, Daily Biogas Production,
Cumulative Biogas Production, Meteorological
Parameters.
Abbreviations— vog = volume of gas, ACD = Abdominal
Cow Dung, press = pressure, CWW =Cassava Waste
Water, AT = Ambient Temperature, ST = Slurry
Temperature, Solar Rad = Solar Radiation, Air Temp =
Air Temperature, HCN = Hydrogen Cyanide, TVC =
Total Viable Count, COD = Chemical Oxygen Demand,
BOD = Biochemical Oxygen Demand
I. INTRODUCTION
Global warming is a crucial issue that cannot be
neglected. Methane biogas is primarily extracted from the
co-fermentation of energy crops mixed with animal
manure in an anaerobic digester instead of letting them
decompose and increase global warming gases. Cassava
is one of the most important staple food crops grown in
tropical Africa. It plays a major role in efforts to alleviate
the African food crises because of its efficient production
of food energy, year-round availability, tolerance to
extreme stress conditions, and suitability to present
farming and food systems in Africa (Hahn and Keyser
1985, Hahn et al, 1987). Cassava waste water is the
effluent gotten from the fermentation of peeled or
unpeeled cassava tubers(immersed in a vessel containing
water until the roots become soft).
Anaerobic digestion is a collection of processes by which
microorganisms break down biodegradable material in the
absence of oxygen. The process is used for industrial or
domestic purposes to manage waste and/or to produce
fuels. Cassava wastewater and abdominal cow dung may
constitute environmental nuisance, if not handled
properly. These wastes can be fed into an anaerobic
digester to produce biogas. Co-digestion refers to the
anaerobic digestion of multiple biodegradable substrates
in a digester. The idea is to maximize the production of
biogas in the digester by adding substrates that produce
much more biogas per unit mass than a base substrate.
Biogas is a mixture of gases produced by the breakdown
of organic matter in the absence of oxygen. During the
process, an air-tight tank transforms biomass waste into
primarily methane (CH4), carbon IV oxide (CO2) and
small amounts of hydrogen sulphide (H2S), moisture and
siloxanes(Richards et al, 1994). Biogas technology
produces renewable energy that can be used for heating,
electricity and in many gas engine operations. Principally,
it reduces global warming.
Literature contains substantial biogas production from
different wastes in the locality.Ukpai and Nnabuchi
(2012) carried out a study on the “Comparative Study of
Biogas Production from Cow Dung, Cow Pea and
Cassava Peeling using 45 Litres Biogas Digester”. They
found out that cow pea has the highest methane content
followed by cow dung and cassava peeling. Cow dung
had the highest cumulative biogas yield followed by cow
pea and cassava peeling, respectively. Diaho et al. (2005)
carried out a research on “The Production of Biogas from
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019]
https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304
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the Mixture of Cow Abdominal Waste and Its Dung”.
They found out the mixture of cow abdominal waste and
its dung yielded biogas within 24 hours.The pure dung
yielded appreciable biogas after 7 days. Ezekoye and
Ezekoye (2009) researched on “Characterization and
Storage of Biogas produced from the anaerobic digestion
of cow dung, spent grains/cow dung and cassava
peels/rice husk”. They discovered that cow dung yields
biogas faster than spent grains/cow dung and cassava
peels/rice husk.Spent grains/cow dung were found to
produce larger amount of biogas on complete digestion of
the three wastes. These studies focused on the rate of
biogas production and ultimately the cumulative biogas
yield. Model predictions, meteorological information and
operating factors that could lead to higher biogas
production were not investigated. Hence, the objective of
this study is to obtain the mix of the feedstock and
operating conditions for optimum gas yield.
II. MATERIALS AND METHODS
The study adopted custom response design. Cassava
waste water was collected from local processors of the
product. The abdominal cow dung waste was collected
from the abattoir in Ikpa market, Nsukka in Nsukka Local
Government Area of Enugu State, Nigeria. Metallic
model bio digesters, figure 3, utilized for the study were
each of 32.0L working volume (fabricated locally at the
National Centre for Energy Research and development,
University of Nigeria, Nsukka). Materials such as top
loading balance (Camry Emperors Capacity 50kg/110
Ibs), plastic water troughs, graduated transparent plastic
buckets for measuring daily gas production, Pen-type
thermo-hygrometer (CE), pHep pocket-sized pH meter
(Hanna Instruments), thermoplastic hose pipes,
anemometer, Am-4822, metallic beehivest and, biogas
burner fabricated locally for checking gas flammability,
were used. Figures 1(a) - (d) show the materials used in
the research and the schematic diagramis shown in figure
2.
Fig.1 (a): Cassava tubers Fig.1 (b): Cassava wastewater
Fig.1(c): Cow Fig.1(d): Abdominal cow dung
Fig.2: Schematic Diagram of the Biodigester
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019]
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Fig.3: The experimental set-up
III. EXPERIMENTAL STUDY
The fermentation of the blends took place for 30 days at
the prevailing ambient mesophillic temperature range of
23.5 to 36.5°C. The ratio of the water to waste in each
charging was 2:1. This was based on the moisture content
of the organic wastes at the point of charging the bio
digesters. Cassava waste water (CWW) was co-digested
with abdominal cow dung (ACD) in the ratio of 9:1, 7:3
and 5:5 while the CWW alone and ACD alone served as
control resulting to the five treatment blends: T1 (100%
CWW), T2(100% ACD), T3(90% CWW + 10%ACD),
T4(70% CWW+30%ACD) and T5 (50% CWW +
50%ACD). Co-digestion is used to increase methane
production from low-yielding or difficult to digest
materials. The moisture content of the respective wastes
determined the waste to water ratios used. Volume of gas
produced, ambient and slurry temperatures, relative
humidity and wind speed, insolation, pH and slurry
pressure were monitored on daily basis throughout the
period of digestion. Flammability check was also carried
out on daily basis until the system produced flammable
biogas and occasionally till the end of digestion period.
The study was carried out at the exhibition ground of
National Centre for Energy Research and Development,
University of Nigeria, Nsukka.
Physicochemical and Microbial Analyses
The physical and chemical compositions of the
undigested wastes were determined before the digestion.
Ash, moisture, crude fibre, crude nitrogen, crude fat,
crude protein, BOD, COD, total solid and suspended solid
contents were determined using AOAC method of 2005.
Phosphorus, potassium, energy and SO2 contents were
determined using methods described in Pearson (1976).
HCN was determined using method described by Onwuka
(2005). TVC was determined using methods described by
Ochei and Kolhatkar (2000). Carbon content was
determined using methods described by Schumacher
(2002). Proximate analysis was done using AOAC
method (2005). The population of the microbes in each of
the treatment cases was determined at different times (at
charging, flammable, peak of production and end of
digestion), during the period of study to monitor the
growth of the microbes at the various stages.
Gas Analysis
The flammable gas compositions from the 100%ACD and
50%CWW+50%ACD were analyzed using
BACHARACH (PCA2)Gas Analyzer, made in United
States.
Data Analysis
The data obtained for the volume of gas production from
each of the systems were subjected to statistical analysis
using SPSS ver.20, Microsoft Excel XP 2007 and Minitab
17 software. Meteorological parameter data were obtained
from Centre for Basic Space Science, University of
Nigeria, Nsukka.
IV. RESULTS AND DISCUSSION
Table 1 shows the physicochemical properties of undigested Cassava waste water and AbdominalCow Dung blends.
Table.1: Results of Physicochemical Analysis of Undigested Cassava Wastewater and Abdominal Cow Dung Blends
Parameter Treatment Cases
100%CWW 100%ACD 90%CWW+10%ACD 70%CWW+30%ACD 50%CWW+50%ACD
BOD (mg/l) 460 720 580 650 715
COD (mg/l) 36866.67 86833.33 24379.33 34000 40000
HCN (mg/l) 21.03 1.3 20.38 16.6 11.47
SO2 (ppm) 0 0 0 0 0
TVC (cfu/ml) 1800000 29000000 6700000 13000000 27500000
ASH (%) 0.83 0.47 0.45 0.67 0.65
MOISTURE (%) 98.23 98.42 99.73 99.15 98.47
CRUDE FIBER
CONTENT (%) 0.1 0.37 0.3 0.47 0.63
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019]
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CRUDE FAT (%) 0.36 0.49 0.25 0.49 0.61
CRUDE NITROGEN (%) 0.513 0.0552 0.289 0.12 0.181
PHOSPHOROUS (Ug/g) 16.5 4.86 0.85 3.05 4.3
POTASSIUM (ppm) 1.89 1.73 1.15 1.37 1.22
CRUDE PROTEIN (%) 0.21 0.03 0.04 0.05 0.05
OXIDIZABLE
ORGANIC CARBON
(%) 4.36 1.65 4.19 2.1 4.57
ENERGY (KCal/g) 5.37 5.46 5.01 1.31 4.05
TOTAL SOLID (%) 1.75 1.58 0.27 0.85 1.53
DISSOLVED SOLID (%) 0.67 0.14 0.06 0.03 0.04
SUSPENDED SOLID
(%) 1.68 1.44 0.21 0.82 1.49
CARBOHYDRATE (%) 0.55 0.22 0.2 0.18 0.14
TOTAL ORGANIC
CARBON (%) 5.81 0.27 1.45 0.85 1.55
ORGANIC MATTER (%) 10.01 0.46 2.5 1.47 2.67
CARBON-NITROGEN
RATIO 8.5 29.9 14.5 17.5 25.2
The cumulative volume of biogas (vog) and methane contents for the various waste combinations are presented in table 2
Table.2: Field Analysis of the Treatment Cases
DIGESTERS’ PERFORMANCE
The results of digester performances (from table 2)
indicated that both 100% ACDand 50% CWW+50%
ACD systems flamed on the 20th day while 100% CWW,
70% CWW+30% ACD and 90% CWW+10% ACD
systems didn‘t flame at all. The cumulative gas yield from
the five treatments were different: the 100% CWW had
cumulative gas yield of 12.7 liters/24kg mass of slurry
and a mean vog of 0.423 L; 100% ACD had cumulative
gas yield of 28.85liters/24kg mass of slurry and a mean
vog of 0.962 L; 90% CWW +10% ACD had cumulative
gas yield of 12.5 liters/24kg mass of slurry and a mean
vog of 0.417 L; 70% CWW+30% ACD had cumulative
gas yield of 11.1 liters/24kg mass of slurry and a mean
vog of 0.37 L while 50% CWW+50% ACD had
cumulative gas yield of 15.8 liters/24kg mass of slurry
and a mean vog of 0.54 L during the 30 days retention
period. 100% ACD had 91.20% methane; while 50%
CWW+50% ACD produced 92.99% methane.
Digester/Waste Flammable
Time/Lag Time
(Day)
Retention
Time (Day)
Cumulative
Volume of
biogas (L)
Component of Biogas (%)
CO2 CO CH4 Other
compon
ents
T1 (100%CWW) - 30 12.7 - - - -
T2 (100%ACD) 20 30 28.85 5.8 0.0001 91.20 3
T3
(90%CWW+10%ACD)
- 30 12.5 - - - -
T4(70%CWW+30%ACD
)
- 30 11.1 - - - -
T5
(50%CWW+50%ACD)
20 30 15.8 18.3 0.0001 92.999 3
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019]
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Fig.4: Weekly BOD Values
Fig.5: Weekly COD Values
Fig.6: Weekly HCN Values
0
100
200
300
400
500
600
700
800
BODValues(mg/l)
Digester
TIME (Weeks) 1
TIME (Weeks) 2
TIME (Weeks) 3
TIME (Weeks) 4
0
10
20
30
40
50
60
70
80
90
100
CODValues(mg/l)
Thousands
Digester
TIME (Weeks) 1
TIME (Weeks) 2
TIME (Weeks) 3
TIME (Weeks) 4
0
5
10
15
20
25
HCNValues(mg/l)
Digester
TIME (Weeks) 1
TIME (Weeks) 2
TIME (Weeks) 3
TIME (Weeks) 4
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019]
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Fig.7: Weekly TVC Values
Fig.8: Daily biogas yield versus Retention time for the wastes
Fig.9: Cumulative volume of biogas produced versus Retention time
0
5
10
15
20
25
30
35
TVCValues(mg/l)
Millions
Digester
TIME (Weeks) 1
TIME (Weeks) 2
TIME (Weeks) 3
TIME (Weeks) 4
0
1
2
3
4
5
6
7
8
9
0 5 10 15 20 25 30
DailyBiogasyield(L)
Retention Time (Days)
100%CWW
100%ACD
90%CWW+10%ACD
70%CWW+30%ACD
50%CWW+50%ACD
0
5
10
15
20
25
30
0 5 10 15 20 25 30
Cumulativevolumeofbiogasproduced(L)
Retention time (Days)
100%CWW
100%ACD
90%CWW+10%ACD
70%CWW+30%ACD
50%CWW+50%ACD
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019]
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Fig.10(a): The optimization plots for the five digesters
Fig.10(b): The optimization plots for the five digesters
Fig.11(a): The contour plots of volume of gas
ACD 4
ST 36.5
Press 6.75
pH 6.365
Solar Rad 208.06
AirTemp 27.56
WindSpeed 1 .1 41 5
Hold Values
ST*ACD
840
40
35
30
Press*ACD
840
1 0
5
0
pH*ACD
840
8.0
6.5
5.0
Solar Rad*ACD
840
31 0
230
1 50
AirTemp*ACD
840
29.0
27.5
26.0
WindSpeed*ACD
840
1 .4
1 .2
1 .0
Press*ST
403530
1 0
5
0
pH*ST
403530
8.0
6.5
5.0
Solar Rad*ST
403530
31 0
230
1 50
AirTemp*ST
403530
29.0
27.5
26.0
WindSpeed*ST
403530
1 .4
1 .2
1 .0
pH*Press
1 050
8.0
6.5
5.0
Solar Rad*Press
1 050
31 0
230
1 50
AirTemp*Press
1 050
29.0
27.5
26.0
WindSpeed*Press
1 050
1 .4
1 .2
1 .0
Solar Rad*pH
8.06.55.0
31 0
230
1 50
>
–
–
–
–
< 0.0
0.0 1 .5
1 .5 3.0
3.0 4.5
4.5 6.0
6.0
vog
Contour Plots of vog
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019]
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Fig.11(b): The contour plots of volume of gas
EFFECT OF C/N RATIO ON THE SYSTEMS
From the results of table 1, the C/N ratio of 100% ACD
and 50% CWW+ 50% ACD, were seen to be within the
range of the optimum C/N ratio. Consequently, each of
these digesters flamed. Digesters 100% CWW, 90%
CWW+10% ACD and 70% CWW+30% ACD each had
low C/N ratio that possibly led to ammonia accumulation
and consequently could not flame. C/N ratio is an
important indicator for controlling biological systems.
High C/N indicates rapid nitrogen consumption by
methanogens and leads to lower gas production while low
C/N ratio results in ammonia accumulation and an
increase in pH values, which is toxic to methanogenic
bacteria (Moller et al., 2004). During anaerobic digestion,
microorganisms utilize carbon 25 to 30 times faster than
nitrogen (Yadvika et al., 2004). To meet these
requirements, microbes need 20 to 30:1 ratio of C to N.
PROXIMATE ANALYSIS OF THE SYSTEMS
The proximate composition includes the ash, moisture,
crude fibre and crude fat contents of the wastes. The ash
and crude fibre contents of the wastes for each of the
systems were minimal. Each of the wastes for the
systems had optimum moisture content because of the
mix (which was 2 portion of water to 1 portion of waste).
Biological activities are increased when digester fluid are
mixed to provide homogenous temperature and nutrient
condition throughout the digester (Lay et al, 1997). The
crude fat for each of the wastes was also minimal.
PHOSPHORUS AND POTASSIUM CONTENTS OF
THE TREATMENT SYSTEMS
Cationic elements such as phosphorus and potassiumare
required for microbial growth in anaerobic digestion of
waste, but can be inhibitory to microbial activity if
present in high concentrations (Appels et al., 2008). The
metal contents are however low in this case therefore,
their presence effects the microbial growth positively.
From table 1, there is the presence of phosphorus and
potassium which are the nutrients contained in the
digestate. Digestate is an excellent biofertilizer (Werner et
al, 1989). 100%CWW, 100%ACD,
90%CWW+10%ACD, 70%CWW+30%ACD and
50%CWW+50%ACD each had a phosphorus content of
16.5μg/g, 4.86μg/g, 0.85μg/g, 3.05μg/g and 4.3μg/g
respectively. The potassium content of 100%CWW,
100%ACD, 90%CWW+10%ACD, 70%CWW+30%ACD
and 50%CWW+50%ACD are 1.89ppm, 1.73ppm,
1.15ppm, 1.37ppm and 1.22ppm respectively.
ACD 4
ST 36.5
Press 6.75
pH 6.365
Solar Rad 208.06
AirTemp 27.56
WindSpeed 1 .1 41 5
Hold Values
AirTemp*pH
8.06.55.0
29
28
27
26
WindSpeed*pH
8.06.55.0
1.4
1.2
1.0
AirTemp*Solar Rad
310230150
29
28
27
26
WindSpeed*Solar Rad
310230150
1.4
1.2
1.0
WindSpeed*AirTemp
29.027.526.0
1.4
1.2
1.0
>
–
–
–
–
–
< 0.5
0.5 1 .0
1 .0 1 .5
1 .5 2.0
2.0 2.5
2.5 3.0
3.0
vog
Contour Plots of vog
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019]
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THE SOLID CONTENT OF THE WASTES
Total solid shows the total solid matter constituent of the
entire organic waste both degradable and non-degradable.
The total solid content of 100%CWW, 100%ACD,
90%CWW+10%ACD, 70%CWW+30%ACD and
50%CWW+50%ACD are 1.75%, 1.58%, 0.27%, 0.85%
and 1.53% respectively.
ENERGY, OXIDIZABLE ORGANIC CARBON,
TOTAL ORGANIC CARBON AND ORGANIC
MATTER CONTENT OF THE WASTES
From table 1, it can be seen that 50%CWW+50%ACD
waste had 4.57% oxidizable organic carbon content,
1.55% total organic carbon content and 2.67% organic
matter content. 100%CWW had 4.36% oxidizable organic
carbon content, 5.81% total organic carbon content and
10.01% organic matter content. It can be concluded that
the higher the oxidizable organic carbon content, the
higher the total organic carbon content and then the
higher the organic matter content(Navarro et al, 1993).
THE EFFECT OF HYDROGEN CYANIDE ON THE
SUBSTRATES
Figure 6 showed concentration of HCN for each of the
digesters. Each figure showed reduction trend in weekly
HCN with digester 100% CWW having the highest initial
HCN, followed by each of 9:1, 7:3 and 5:5 combinations
of the wastes over the 30 days retention time. Digester
100% ACD had little or no appreciable HCN. It could not
be said that its biogas production and flammability was as
a result of the effect of HCN. However, HCN had positive
effect on biogas production and flammability of digester
50% CWW+50% ACD. This is confirmed by the fact that
even though 100% CWW and 90%CWW+10%ACD and
70%CWW+30%ACD had higher initial values of HCN
(21.03mg/l, 20.38mg/l and 16.6mg/l respectively), they
could not produce flammable gas. Total cyanide includes
both bound and free cyanide but the free cyanide is labile
(volatile) in the form of hydrogen cyanide. The cyanide
determined is majorly the bound cyanide since the
hydrogen cyanide which is free cyanide is labile such that
on collection of sample and exposure, the free cyanide is
lost (Jones, 1993). The cassava wastewater is known to
have high level of cyanide and also known to have the
capacity to produce linamarase which is an enzyme that
metabolizes cyanide to hydrogen cyanide that becomes
volatile.
WEEKLY BOD, COD, SO2, TVC AND ANAEROBIC
DIGESTION AS A WASTE MANAGEMENT
TECHNOLOGY
Figures 4, 5 and 7 showed reductions in weekly BOD,
COD and TVC, respectively. This is expected as the
wastes stabilized. However, it was observed that there
were no traces of SO2 in all the wastes and their
combinations. Anaerobic digestion is the most important
method for the treatment of food waste because of its
techno-economic viability and environmental
sustainability. The use of anaerobic digestion technology
generates biogas and preserves the nutrients which are
recycled back to the agricultural land in the formof slurry
or solid fertilizer. The relevance of biogas technology lies
in the fact that it makes the best possible utilization of
food wastes as a renewable source of clean energy since
there is always reduction in BOD, COD and TVC. Total
Viable Count (TVC) a quantitative idea about the
presence of microorganisms such as bacteria, yeast and
mold in a sample. To be specific, the count actually
represents the number of colony forming units (cfu) per g
(or per ml) of the sample. A TVC is achieved by plating
dilutions of the culture until 30-300 colonies exist on a
single plate. Microorganisms (mainly bacteria and fungi)
are involved in decomposition, the chemical and physical
processes during which organic matter is broken down (in
the absence of oxygen) and reduced to its original
elements.
The relationship between volume of gas and cassava
waste water using linear regression was obtained as
WEEKLYVog (L) = 8.948E-005COD + 6.116E-008TVC
[1]
R2 = 81.7% [2]
METEOROLOGICAL CONDITIONS FOR
OPTIMUM GAS YIELD
Figure 10(a) and (b) show the optimization values for
maximum of 13.0969L/d vog as CWW = 5.1717kg, ACD
= 2.8283kg, ST=29.50oC, Pressure= 13.50mmHg,
pH=8.3, Solar Rad=104.390W/m,Air Temp=25.13 oC,
Windspeed= 0.847m/s.
The operating equation for optimum gas yield using
Response Surface Regressionfor the five digesters (from
field test) are given by:
DailyVog (L) = 85.5 + 0.1167 CWW - 1.512 ST
+ 1.250 Press + 2.07 pH - 0.0237 Solar Rad –
2.885 AirTemp
- 40.7 WindSpeed - 0.01127 CWW*CWW
+ 0.02470 Press*Press - 0.02436 ST*Press
- 0.0554 ST*pH + 0.0560 ST*AirTemp
+ 0.339 ST*WindSpeed - 0.001403 Press*Solar Rad
+ 0.0253 Solar Rad*WindSpeed
+ 0.743 AirTemp*WindSpeed [3]
R2 = 82.68% [4]
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019]
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DailyVog (L) = 85.7 + 0.0635 ACD - 1.512 ST
+ 1.250 Press + 2.07 pH - 0.0237 Solar Rad -
2.885 AirTemp - 40.7 WindSpeed - 0.01127 ACD*ACD
+ 0.02470 Press*Press - 0.02436 ST*Press
- 0.0554 ST*pH + 0.0560 ST*AirTemp
+ 0.339 ST*Wind Speed - 0.001403 Press*Solar Rad
+ 0.0253 Solar Rad*Wind Speed + 0.743 Air
Temp*WindSpeed [5]
R2 = 82.68% [6]
CONTOUR PLOTS
The contour plots of vog are shown in figures 11(a) and
(b). The contour plots are used to find the factor level
settings that provide the response one wants. A contour
plot provides a two-dimensional view in which the
settings that produce the same response are shown as
contour lines of constant responses. Contour plots are
used to explore the potential relationship between three
variables. Contour plots display the 3-dimensional
relationship in two dimensions, with x- and y-factors
(predictors) plotted on the x- and y-scales and response
values represented by contours. The darker regions
identify higher z-values (that is, the response increases).It
can be used to find the best operating conditions. For
example, from Figure 11(a), for a vog greater than 3 L,
the hold values are ACD = 4kg, ST = 36.5oC, Press =
6.75mmHg, pH = 6.365, Solar Rad = 208.06W/m2, Air
Temp = 27.56oC and Wind speed = 1.1415m/s.
V. CONCLUSION
This study has shown that wastes such as cassava
wastewater and abdominal cow dung which have been
termed nuisance to the environment can be utilized to
produce biogas which can be used as an alternative to the
widely known and used fossil fuel. The digestate after
biogas has been produced can also be used as fertilizer to
enrich the soil and improve plant growth. From the
research even though cassava wastewater is poor in
methane production, it can be co-digested with abdominal
cow dung which is rich in methane production. Therefore,
it can be concluded that co-digestion of the wastes
resulted in improved biogas production.
This study has shown a new source of wealth creation and
at the same time a means of decontaminating the
environment by waste recycling and transformation. It is
important to suggest that apart fromabdominal cow dung,
other abdominal animal dungs such as swine, rabbit and
poultry wastes can also be utilized to optimized biogas
production. This wastes that are consumed in large
quantities in homes can be used to produce biogas, this
will help them lose the name attached to them as being
nuisance to the environment.
REFERENCES
[1] Angelidaki, I. and L. Ellegaard (2003).Codigestion
of manure and organic wastes in centralized biogas
plants.Status and future trends.Applied Biochemistry
and Biotechnology, 109: 95-105.
[2] Appels, L., Baeyens, J., Degreve, J. and R. Dewil
(2008).Principles and potential of the anaerobic
digestion of waste-activated sludge.Progress in
Energy and Combustion Science, 34: 755-781.
[3] Association of Official Analysis of Chemist
(A.O.A.C.) (2005).Standard Official Methods of
Analysis.15th ed. Washington D.C.
[4] Diaho, I.C., Tunga, U.S. and M.K. Umar
(2005).Effect of Abdominal Waste on Biogas
Production from Cow Dung.Bot. J. Tech., 14: 21-24.
[5] Ezekoye, V.A and B.A. Ezekoye (2009).
Characterization and Storage of Biogas Produced
from the Anaerobic Digestion of Cow Dung, Spent
Grains/Cow Dung, and Cassava Peels/Rice Husk.
Pacific Journal of Science and Technology, 10(2):
898-904.
[6] Hahn, S.K, and J. Keyser. 1985. Cassava: a basic
food of Africa. Outlook on Agriculture 4: 95-100.
[7] Hahn, S.K., N.M. Mahungu, J.A Otoo, M.A M.
Msabaha, N.B. Lutaladio, and M.T. Dahniya.1987.
Cassava end African food crisis. Pages 24-29 in
Tropical root crops -root crops and theAfrican food
crisis. Proceedings, Third Triennial Symposium of
the International Society fortropical Root Crops -
Africa Branch, edited by E.R Terry, M. Akoroda,
and O. B. Arene, 17-23August 1986, Owerri,
Nigeria.
[8] Jones, D.A. (1998). Why are so many food plants
cyanogenic? Phytochemistry, 47(2): 155-162.
doi:10.1016/S0031-9422(97)00425-1. PMID
9431670.
[9] Lay, J.I., Noike, T., Endo, G. and S. Ishimoto
(1997). Analysis of Environmental Factors affecting
Methane Production from High Solid Organic
Waste.Water Sci. and Tech., 36(6-7): 639-650.
[10] Nagamani, B. and K. Ramasamy (1999). Biogas
Production Technology: An Indian Perspective.
Current Science, 77(1): 44-55.
[11] Navarro, A.F., Cegarra, J., Roig, A. and D. Garcia
(1993).Relationship between Organic Matter and
Carbon Contents of Organic Wastes.Bioresource
Technology, 44: 203-207.
[12] Ochei, J. and A. Kolhatkar (2008).Medical
Laboratory Science, Theory and Practices. Tata
McGraw-Hill.
International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019]
https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304
www.ijcmes.com Page | 42
[13] Onwuka, G.I. (2005). Food analysis and
instrumentation: Theory and practice. Naphathali
Prints, Nigeria.
[14] Pearson, D. (1976). Chemical Analysis of Foods.7th
Edition.Churchhill Livingstone, London.
[15] Richards, B., Herndon, F.G., Jewell, W.J.,
Cummings, R.J. and T.E. White (1994).In situ
methane enrichment in methanogenic energy crop
digesters. Biomass and Bioenergy, 6(4): 275-282.
doi:10.1016/0961-9534(94) 90067-1.
[16] Schumacher, Brian A. (2002). Methods for the
Determination of Total Organic Carbon (TOC) in
soils and Sediments.USEPA, Washington DC.
[17] Ukpai, P.A. and M.N. Nnabuchi
(2012).Comparative study of biogas production from
cow dung, cow pea and cassava peeling using 45
litres biogas digester.Advances in Applied Science
Research, 3(3): 1864-1869.
[18] Werner, U., Stoehr, U. and N. Hees (1989).Biogas
Plants in Animal Husbandry. German Appropriate
Technology Exchange (GATE) and German Agency
for Technical Cooperation (GTZ) GmbH. PDF.
[19] Yadvika, A., Santosh, A., Sreekrishan, T.R., Kohli,
S. and V. Rana (2004).Enhancement of Biogas
Production from Solid Substrates Using Different
Techniques. Bioresource Technology, 95: 1-10

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Anaerobic Co-Digestion of Cassava Waste Water and Abdominal Cow Dung under Changing Meteorological Parameters

  • 1. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019] https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304 www.ijcmes.com Page | 32 Anaerobic Co-Digestion of Cassava Waste Water and Abdominal Cow Dung under Changing Meteorological Parameters Cordelia Nnennaya Mama* and Jonah Chukwuemeka Agunwamba Department of Civil Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria *Corresponding Author: cordelia.mama@unn.edu.ng Abstract— Anaerobic co-digestion of cassava waste water (CWW) and abdominal cow dung (ACD)in different proportions was studied in five treatments under changing meteorological conditions. The five treatment cases T1: 100% CWW; T2: 100% ACD; T3: 90%CWW +10%ACD; T4:70%CWW+30%ACD; T5: 50%CWW+50%ACD were digested under anaerobic conditions in model batch, metallic bio digesters of same working volume (32.0 liters) for 30 days retention period. Results indicated that T2 system flamed on the 20th day, T5 on the 20th day while T1, T4 and T3 systems didn’t flame. T1 had cumulative gas yield of 12.7 liters; T2 had 28.85 liters; T3 had 12.5 liters,T4 had 11.1 liters while T5 had cumulative gas yield of 15.8 liters per 24kg mass of slurry. T2had 91.20% methane; while T5 produced 92.999% methane. Daily biogas yields were modeled as functionsof meteorological parameters.Results indicated that many parameters showed good correlations with ambient temperature. Keywords— Cassava Wastewater, Abdominal Cow Dung, Ambient Temperature, Daily Biogas Production, Cumulative Biogas Production, Meteorological Parameters. Abbreviations— vog = volume of gas, ACD = Abdominal Cow Dung, press = pressure, CWW =Cassava Waste Water, AT = Ambient Temperature, ST = Slurry Temperature, Solar Rad = Solar Radiation, Air Temp = Air Temperature, HCN = Hydrogen Cyanide, TVC = Total Viable Count, COD = Chemical Oxygen Demand, BOD = Biochemical Oxygen Demand I. INTRODUCTION Global warming is a crucial issue that cannot be neglected. Methane biogas is primarily extracted from the co-fermentation of energy crops mixed with animal manure in an anaerobic digester instead of letting them decompose and increase global warming gases. Cassava is one of the most important staple food crops grown in tropical Africa. It plays a major role in efforts to alleviate the African food crises because of its efficient production of food energy, year-round availability, tolerance to extreme stress conditions, and suitability to present farming and food systems in Africa (Hahn and Keyser 1985, Hahn et al, 1987). Cassava waste water is the effluent gotten from the fermentation of peeled or unpeeled cassava tubers(immersed in a vessel containing water until the roots become soft). Anaerobic digestion is a collection of processes by which microorganisms break down biodegradable material in the absence of oxygen. The process is used for industrial or domestic purposes to manage waste and/or to produce fuels. Cassava wastewater and abdominal cow dung may constitute environmental nuisance, if not handled properly. These wastes can be fed into an anaerobic digester to produce biogas. Co-digestion refers to the anaerobic digestion of multiple biodegradable substrates in a digester. The idea is to maximize the production of biogas in the digester by adding substrates that produce much more biogas per unit mass than a base substrate. Biogas is a mixture of gases produced by the breakdown of organic matter in the absence of oxygen. During the process, an air-tight tank transforms biomass waste into primarily methane (CH4), carbon IV oxide (CO2) and small amounts of hydrogen sulphide (H2S), moisture and siloxanes(Richards et al, 1994). Biogas technology produces renewable energy that can be used for heating, electricity and in many gas engine operations. Principally, it reduces global warming. Literature contains substantial biogas production from different wastes in the locality.Ukpai and Nnabuchi (2012) carried out a study on the “Comparative Study of Biogas Production from Cow Dung, Cow Pea and Cassava Peeling using 45 Litres Biogas Digester”. They found out that cow pea has the highest methane content followed by cow dung and cassava peeling. Cow dung had the highest cumulative biogas yield followed by cow pea and cassava peeling, respectively. Diaho et al. (2005) carried out a research on “The Production of Biogas from
  • 2. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019] https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304 www.ijcmes.com Page | 33 the Mixture of Cow Abdominal Waste and Its Dung”. They found out the mixture of cow abdominal waste and its dung yielded biogas within 24 hours.The pure dung yielded appreciable biogas after 7 days. Ezekoye and Ezekoye (2009) researched on “Characterization and Storage of Biogas produced from the anaerobic digestion of cow dung, spent grains/cow dung and cassava peels/rice husk”. They discovered that cow dung yields biogas faster than spent grains/cow dung and cassava peels/rice husk.Spent grains/cow dung were found to produce larger amount of biogas on complete digestion of the three wastes. These studies focused on the rate of biogas production and ultimately the cumulative biogas yield. Model predictions, meteorological information and operating factors that could lead to higher biogas production were not investigated. Hence, the objective of this study is to obtain the mix of the feedstock and operating conditions for optimum gas yield. II. MATERIALS AND METHODS The study adopted custom response design. Cassava waste water was collected from local processors of the product. The abdominal cow dung waste was collected from the abattoir in Ikpa market, Nsukka in Nsukka Local Government Area of Enugu State, Nigeria. Metallic model bio digesters, figure 3, utilized for the study were each of 32.0L working volume (fabricated locally at the National Centre for Energy Research and development, University of Nigeria, Nsukka). Materials such as top loading balance (Camry Emperors Capacity 50kg/110 Ibs), plastic water troughs, graduated transparent plastic buckets for measuring daily gas production, Pen-type thermo-hygrometer (CE), pHep pocket-sized pH meter (Hanna Instruments), thermoplastic hose pipes, anemometer, Am-4822, metallic beehivest and, biogas burner fabricated locally for checking gas flammability, were used. Figures 1(a) - (d) show the materials used in the research and the schematic diagramis shown in figure 2. Fig.1 (a): Cassava tubers Fig.1 (b): Cassava wastewater Fig.1(c): Cow Fig.1(d): Abdominal cow dung Fig.2: Schematic Diagram of the Biodigester
  • 3. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019] https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304 www.ijcmes.com Page | 34 Fig.3: The experimental set-up III. EXPERIMENTAL STUDY The fermentation of the blends took place for 30 days at the prevailing ambient mesophillic temperature range of 23.5 to 36.5°C. The ratio of the water to waste in each charging was 2:1. This was based on the moisture content of the organic wastes at the point of charging the bio digesters. Cassava waste water (CWW) was co-digested with abdominal cow dung (ACD) in the ratio of 9:1, 7:3 and 5:5 while the CWW alone and ACD alone served as control resulting to the five treatment blends: T1 (100% CWW), T2(100% ACD), T3(90% CWW + 10%ACD), T4(70% CWW+30%ACD) and T5 (50% CWW + 50%ACD). Co-digestion is used to increase methane production from low-yielding or difficult to digest materials. The moisture content of the respective wastes determined the waste to water ratios used. Volume of gas produced, ambient and slurry temperatures, relative humidity and wind speed, insolation, pH and slurry pressure were monitored on daily basis throughout the period of digestion. Flammability check was also carried out on daily basis until the system produced flammable biogas and occasionally till the end of digestion period. The study was carried out at the exhibition ground of National Centre for Energy Research and Development, University of Nigeria, Nsukka. Physicochemical and Microbial Analyses The physical and chemical compositions of the undigested wastes were determined before the digestion. Ash, moisture, crude fibre, crude nitrogen, crude fat, crude protein, BOD, COD, total solid and suspended solid contents were determined using AOAC method of 2005. Phosphorus, potassium, energy and SO2 contents were determined using methods described in Pearson (1976). HCN was determined using method described by Onwuka (2005). TVC was determined using methods described by Ochei and Kolhatkar (2000). Carbon content was determined using methods described by Schumacher (2002). Proximate analysis was done using AOAC method (2005). The population of the microbes in each of the treatment cases was determined at different times (at charging, flammable, peak of production and end of digestion), during the period of study to monitor the growth of the microbes at the various stages. Gas Analysis The flammable gas compositions from the 100%ACD and 50%CWW+50%ACD were analyzed using BACHARACH (PCA2)Gas Analyzer, made in United States. Data Analysis The data obtained for the volume of gas production from each of the systems were subjected to statistical analysis using SPSS ver.20, Microsoft Excel XP 2007 and Minitab 17 software. Meteorological parameter data were obtained from Centre for Basic Space Science, University of Nigeria, Nsukka. IV. RESULTS AND DISCUSSION Table 1 shows the physicochemical properties of undigested Cassava waste water and AbdominalCow Dung blends. Table.1: Results of Physicochemical Analysis of Undigested Cassava Wastewater and Abdominal Cow Dung Blends Parameter Treatment Cases 100%CWW 100%ACD 90%CWW+10%ACD 70%CWW+30%ACD 50%CWW+50%ACD BOD (mg/l) 460 720 580 650 715 COD (mg/l) 36866.67 86833.33 24379.33 34000 40000 HCN (mg/l) 21.03 1.3 20.38 16.6 11.47 SO2 (ppm) 0 0 0 0 0 TVC (cfu/ml) 1800000 29000000 6700000 13000000 27500000 ASH (%) 0.83 0.47 0.45 0.67 0.65 MOISTURE (%) 98.23 98.42 99.73 99.15 98.47 CRUDE FIBER CONTENT (%) 0.1 0.37 0.3 0.47 0.63
  • 4. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019] https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304 www.ijcmes.com Page | 35 CRUDE FAT (%) 0.36 0.49 0.25 0.49 0.61 CRUDE NITROGEN (%) 0.513 0.0552 0.289 0.12 0.181 PHOSPHOROUS (Ug/g) 16.5 4.86 0.85 3.05 4.3 POTASSIUM (ppm) 1.89 1.73 1.15 1.37 1.22 CRUDE PROTEIN (%) 0.21 0.03 0.04 0.05 0.05 OXIDIZABLE ORGANIC CARBON (%) 4.36 1.65 4.19 2.1 4.57 ENERGY (KCal/g) 5.37 5.46 5.01 1.31 4.05 TOTAL SOLID (%) 1.75 1.58 0.27 0.85 1.53 DISSOLVED SOLID (%) 0.67 0.14 0.06 0.03 0.04 SUSPENDED SOLID (%) 1.68 1.44 0.21 0.82 1.49 CARBOHYDRATE (%) 0.55 0.22 0.2 0.18 0.14 TOTAL ORGANIC CARBON (%) 5.81 0.27 1.45 0.85 1.55 ORGANIC MATTER (%) 10.01 0.46 2.5 1.47 2.67 CARBON-NITROGEN RATIO 8.5 29.9 14.5 17.5 25.2 The cumulative volume of biogas (vog) and methane contents for the various waste combinations are presented in table 2 Table.2: Field Analysis of the Treatment Cases DIGESTERS’ PERFORMANCE The results of digester performances (from table 2) indicated that both 100% ACDand 50% CWW+50% ACD systems flamed on the 20th day while 100% CWW, 70% CWW+30% ACD and 90% CWW+10% ACD systems didn‘t flame at all. The cumulative gas yield from the five treatments were different: the 100% CWW had cumulative gas yield of 12.7 liters/24kg mass of slurry and a mean vog of 0.423 L; 100% ACD had cumulative gas yield of 28.85liters/24kg mass of slurry and a mean vog of 0.962 L; 90% CWW +10% ACD had cumulative gas yield of 12.5 liters/24kg mass of slurry and a mean vog of 0.417 L; 70% CWW+30% ACD had cumulative gas yield of 11.1 liters/24kg mass of slurry and a mean vog of 0.37 L while 50% CWW+50% ACD had cumulative gas yield of 15.8 liters/24kg mass of slurry and a mean vog of 0.54 L during the 30 days retention period. 100% ACD had 91.20% methane; while 50% CWW+50% ACD produced 92.99% methane. Digester/Waste Flammable Time/Lag Time (Day) Retention Time (Day) Cumulative Volume of biogas (L) Component of Biogas (%) CO2 CO CH4 Other compon ents T1 (100%CWW) - 30 12.7 - - - - T2 (100%ACD) 20 30 28.85 5.8 0.0001 91.20 3 T3 (90%CWW+10%ACD) - 30 12.5 - - - - T4(70%CWW+30%ACD ) - 30 11.1 - - - - T5 (50%CWW+50%ACD) 20 30 15.8 18.3 0.0001 92.999 3
  • 5. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019] https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304 www.ijcmes.com Page | 36 Fig.4: Weekly BOD Values Fig.5: Weekly COD Values Fig.6: Weekly HCN Values 0 100 200 300 400 500 600 700 800 BODValues(mg/l) Digester TIME (Weeks) 1 TIME (Weeks) 2 TIME (Weeks) 3 TIME (Weeks) 4 0 10 20 30 40 50 60 70 80 90 100 CODValues(mg/l) Thousands Digester TIME (Weeks) 1 TIME (Weeks) 2 TIME (Weeks) 3 TIME (Weeks) 4 0 5 10 15 20 25 HCNValues(mg/l) Digester TIME (Weeks) 1 TIME (Weeks) 2 TIME (Weeks) 3 TIME (Weeks) 4
  • 6. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019] https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304 www.ijcmes.com Page | 37 Fig.7: Weekly TVC Values Fig.8: Daily biogas yield versus Retention time for the wastes Fig.9: Cumulative volume of biogas produced versus Retention time 0 5 10 15 20 25 30 35 TVCValues(mg/l) Millions Digester TIME (Weeks) 1 TIME (Weeks) 2 TIME (Weeks) 3 TIME (Weeks) 4 0 1 2 3 4 5 6 7 8 9 0 5 10 15 20 25 30 DailyBiogasyield(L) Retention Time (Days) 100%CWW 100%ACD 90%CWW+10%ACD 70%CWW+30%ACD 50%CWW+50%ACD 0 5 10 15 20 25 30 0 5 10 15 20 25 30 Cumulativevolumeofbiogasproduced(L) Retention time (Days) 100%CWW 100%ACD 90%CWW+10%ACD 70%CWW+30%ACD 50%CWW+50%ACD
  • 7. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019] https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304 www.ijcmes.com Page | 38 Fig.10(a): The optimization plots for the five digesters Fig.10(b): The optimization plots for the five digesters Fig.11(a): The contour plots of volume of gas ACD 4 ST 36.5 Press 6.75 pH 6.365 Solar Rad 208.06 AirTemp 27.56 WindSpeed 1 .1 41 5 Hold Values ST*ACD 840 40 35 30 Press*ACD 840 1 0 5 0 pH*ACD 840 8.0 6.5 5.0 Solar Rad*ACD 840 31 0 230 1 50 AirTemp*ACD 840 29.0 27.5 26.0 WindSpeed*ACD 840 1 .4 1 .2 1 .0 Press*ST 403530 1 0 5 0 pH*ST 403530 8.0 6.5 5.0 Solar Rad*ST 403530 31 0 230 1 50 AirTemp*ST 403530 29.0 27.5 26.0 WindSpeed*ST 403530 1 .4 1 .2 1 .0 pH*Press 1 050 8.0 6.5 5.0 Solar Rad*Press 1 050 31 0 230 1 50 AirTemp*Press 1 050 29.0 27.5 26.0 WindSpeed*Press 1 050 1 .4 1 .2 1 .0 Solar Rad*pH 8.06.55.0 31 0 230 1 50 > – – – – < 0.0 0.0 1 .5 1 .5 3.0 3.0 4.5 4.5 6.0 6.0 vog Contour Plots of vog
  • 8. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019] https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304 www.ijcmes.com Page | 39 Fig.11(b): The contour plots of volume of gas EFFECT OF C/N RATIO ON THE SYSTEMS From the results of table 1, the C/N ratio of 100% ACD and 50% CWW+ 50% ACD, were seen to be within the range of the optimum C/N ratio. Consequently, each of these digesters flamed. Digesters 100% CWW, 90% CWW+10% ACD and 70% CWW+30% ACD each had low C/N ratio that possibly led to ammonia accumulation and consequently could not flame. C/N ratio is an important indicator for controlling biological systems. High C/N indicates rapid nitrogen consumption by methanogens and leads to lower gas production while low C/N ratio results in ammonia accumulation and an increase in pH values, which is toxic to methanogenic bacteria (Moller et al., 2004). During anaerobic digestion, microorganisms utilize carbon 25 to 30 times faster than nitrogen (Yadvika et al., 2004). To meet these requirements, microbes need 20 to 30:1 ratio of C to N. PROXIMATE ANALYSIS OF THE SYSTEMS The proximate composition includes the ash, moisture, crude fibre and crude fat contents of the wastes. The ash and crude fibre contents of the wastes for each of the systems were minimal. Each of the wastes for the systems had optimum moisture content because of the mix (which was 2 portion of water to 1 portion of waste). Biological activities are increased when digester fluid are mixed to provide homogenous temperature and nutrient condition throughout the digester (Lay et al, 1997). The crude fat for each of the wastes was also minimal. PHOSPHORUS AND POTASSIUM CONTENTS OF THE TREATMENT SYSTEMS Cationic elements such as phosphorus and potassiumare required for microbial growth in anaerobic digestion of waste, but can be inhibitory to microbial activity if present in high concentrations (Appels et al., 2008). The metal contents are however low in this case therefore, their presence effects the microbial growth positively. From table 1, there is the presence of phosphorus and potassium which are the nutrients contained in the digestate. Digestate is an excellent biofertilizer (Werner et al, 1989). 100%CWW, 100%ACD, 90%CWW+10%ACD, 70%CWW+30%ACD and 50%CWW+50%ACD each had a phosphorus content of 16.5μg/g, 4.86μg/g, 0.85μg/g, 3.05μg/g and 4.3μg/g respectively. The potassium content of 100%CWW, 100%ACD, 90%CWW+10%ACD, 70%CWW+30%ACD and 50%CWW+50%ACD are 1.89ppm, 1.73ppm, 1.15ppm, 1.37ppm and 1.22ppm respectively. ACD 4 ST 36.5 Press 6.75 pH 6.365 Solar Rad 208.06 AirTemp 27.56 WindSpeed 1 .1 41 5 Hold Values AirTemp*pH 8.06.55.0 29 28 27 26 WindSpeed*pH 8.06.55.0 1.4 1.2 1.0 AirTemp*Solar Rad 310230150 29 28 27 26 WindSpeed*Solar Rad 310230150 1.4 1.2 1.0 WindSpeed*AirTemp 29.027.526.0 1.4 1.2 1.0 > – – – – – < 0.5 0.5 1 .0 1 .0 1 .5 1 .5 2.0 2.0 2.5 2.5 3.0 3.0 vog Contour Plots of vog
  • 9. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019] https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304 www.ijcmes.com Page | 40 THE SOLID CONTENT OF THE WASTES Total solid shows the total solid matter constituent of the entire organic waste both degradable and non-degradable. The total solid content of 100%CWW, 100%ACD, 90%CWW+10%ACD, 70%CWW+30%ACD and 50%CWW+50%ACD are 1.75%, 1.58%, 0.27%, 0.85% and 1.53% respectively. ENERGY, OXIDIZABLE ORGANIC CARBON, TOTAL ORGANIC CARBON AND ORGANIC MATTER CONTENT OF THE WASTES From table 1, it can be seen that 50%CWW+50%ACD waste had 4.57% oxidizable organic carbon content, 1.55% total organic carbon content and 2.67% organic matter content. 100%CWW had 4.36% oxidizable organic carbon content, 5.81% total organic carbon content and 10.01% organic matter content. It can be concluded that the higher the oxidizable organic carbon content, the higher the total organic carbon content and then the higher the organic matter content(Navarro et al, 1993). THE EFFECT OF HYDROGEN CYANIDE ON THE SUBSTRATES Figure 6 showed concentration of HCN for each of the digesters. Each figure showed reduction trend in weekly HCN with digester 100% CWW having the highest initial HCN, followed by each of 9:1, 7:3 and 5:5 combinations of the wastes over the 30 days retention time. Digester 100% ACD had little or no appreciable HCN. It could not be said that its biogas production and flammability was as a result of the effect of HCN. However, HCN had positive effect on biogas production and flammability of digester 50% CWW+50% ACD. This is confirmed by the fact that even though 100% CWW and 90%CWW+10%ACD and 70%CWW+30%ACD had higher initial values of HCN (21.03mg/l, 20.38mg/l and 16.6mg/l respectively), they could not produce flammable gas. Total cyanide includes both bound and free cyanide but the free cyanide is labile (volatile) in the form of hydrogen cyanide. The cyanide determined is majorly the bound cyanide since the hydrogen cyanide which is free cyanide is labile such that on collection of sample and exposure, the free cyanide is lost (Jones, 1993). The cassava wastewater is known to have high level of cyanide and also known to have the capacity to produce linamarase which is an enzyme that metabolizes cyanide to hydrogen cyanide that becomes volatile. WEEKLY BOD, COD, SO2, TVC AND ANAEROBIC DIGESTION AS A WASTE MANAGEMENT TECHNOLOGY Figures 4, 5 and 7 showed reductions in weekly BOD, COD and TVC, respectively. This is expected as the wastes stabilized. However, it was observed that there were no traces of SO2 in all the wastes and their combinations. Anaerobic digestion is the most important method for the treatment of food waste because of its techno-economic viability and environmental sustainability. The use of anaerobic digestion technology generates biogas and preserves the nutrients which are recycled back to the agricultural land in the formof slurry or solid fertilizer. The relevance of biogas technology lies in the fact that it makes the best possible utilization of food wastes as a renewable source of clean energy since there is always reduction in BOD, COD and TVC. Total Viable Count (TVC) a quantitative idea about the presence of microorganisms such as bacteria, yeast and mold in a sample. To be specific, the count actually represents the number of colony forming units (cfu) per g (or per ml) of the sample. A TVC is achieved by plating dilutions of the culture until 30-300 colonies exist on a single plate. Microorganisms (mainly bacteria and fungi) are involved in decomposition, the chemical and physical processes during which organic matter is broken down (in the absence of oxygen) and reduced to its original elements. The relationship between volume of gas and cassava waste water using linear regression was obtained as WEEKLYVog (L) = 8.948E-005COD + 6.116E-008TVC [1] R2 = 81.7% [2] METEOROLOGICAL CONDITIONS FOR OPTIMUM GAS YIELD Figure 10(a) and (b) show the optimization values for maximum of 13.0969L/d vog as CWW = 5.1717kg, ACD = 2.8283kg, ST=29.50oC, Pressure= 13.50mmHg, pH=8.3, Solar Rad=104.390W/m,Air Temp=25.13 oC, Windspeed= 0.847m/s. The operating equation for optimum gas yield using Response Surface Regressionfor the five digesters (from field test) are given by: DailyVog (L) = 85.5 + 0.1167 CWW - 1.512 ST + 1.250 Press + 2.07 pH - 0.0237 Solar Rad – 2.885 AirTemp - 40.7 WindSpeed - 0.01127 CWW*CWW + 0.02470 Press*Press - 0.02436 ST*Press - 0.0554 ST*pH + 0.0560 ST*AirTemp + 0.339 ST*WindSpeed - 0.001403 Press*Solar Rad + 0.0253 Solar Rad*WindSpeed + 0.743 AirTemp*WindSpeed [3] R2 = 82.68% [4]
  • 10. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019] https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304 www.ijcmes.com Page | 41 DailyVog (L) = 85.7 + 0.0635 ACD - 1.512 ST + 1.250 Press + 2.07 pH - 0.0237 Solar Rad - 2.885 AirTemp - 40.7 WindSpeed - 0.01127 ACD*ACD + 0.02470 Press*Press - 0.02436 ST*Press - 0.0554 ST*pH + 0.0560 ST*AirTemp + 0.339 ST*Wind Speed - 0.001403 Press*Solar Rad + 0.0253 Solar Rad*Wind Speed + 0.743 Air Temp*WindSpeed [5] R2 = 82.68% [6] CONTOUR PLOTS The contour plots of vog are shown in figures 11(a) and (b). The contour plots are used to find the factor level settings that provide the response one wants. A contour plot provides a two-dimensional view in which the settings that produce the same response are shown as contour lines of constant responses. Contour plots are used to explore the potential relationship between three variables. Contour plots display the 3-dimensional relationship in two dimensions, with x- and y-factors (predictors) plotted on the x- and y-scales and response values represented by contours. The darker regions identify higher z-values (that is, the response increases).It can be used to find the best operating conditions. For example, from Figure 11(a), for a vog greater than 3 L, the hold values are ACD = 4kg, ST = 36.5oC, Press = 6.75mmHg, pH = 6.365, Solar Rad = 208.06W/m2, Air Temp = 27.56oC and Wind speed = 1.1415m/s. V. CONCLUSION This study has shown that wastes such as cassava wastewater and abdominal cow dung which have been termed nuisance to the environment can be utilized to produce biogas which can be used as an alternative to the widely known and used fossil fuel. The digestate after biogas has been produced can also be used as fertilizer to enrich the soil and improve plant growth. From the research even though cassava wastewater is poor in methane production, it can be co-digested with abdominal cow dung which is rich in methane production. Therefore, it can be concluded that co-digestion of the wastes resulted in improved biogas production. This study has shown a new source of wealth creation and at the same time a means of decontaminating the environment by waste recycling and transformation. It is important to suggest that apart fromabdominal cow dung, other abdominal animal dungs such as swine, rabbit and poultry wastes can also be utilized to optimized biogas production. This wastes that are consumed in large quantities in homes can be used to produce biogas, this will help them lose the name attached to them as being nuisance to the environment. REFERENCES [1] Angelidaki, I. and L. Ellegaard (2003).Codigestion of manure and organic wastes in centralized biogas plants.Status and future trends.Applied Biochemistry and Biotechnology, 109: 95-105. [2] Appels, L., Baeyens, J., Degreve, J. and R. Dewil (2008).Principles and potential of the anaerobic digestion of waste-activated sludge.Progress in Energy and Combustion Science, 34: 755-781. [3] Association of Official Analysis of Chemist (A.O.A.C.) (2005).Standard Official Methods of Analysis.15th ed. Washington D.C. [4] Diaho, I.C., Tunga, U.S. and M.K. Umar (2005).Effect of Abdominal Waste on Biogas Production from Cow Dung.Bot. J. Tech., 14: 21-24. [5] Ezekoye, V.A and B.A. Ezekoye (2009). Characterization and Storage of Biogas Produced from the Anaerobic Digestion of Cow Dung, Spent Grains/Cow Dung, and Cassava Peels/Rice Husk. Pacific Journal of Science and Technology, 10(2): 898-904. [6] Hahn, S.K, and J. Keyser. 1985. Cassava: a basic food of Africa. Outlook on Agriculture 4: 95-100. [7] Hahn, S.K., N.M. Mahungu, J.A Otoo, M.A M. Msabaha, N.B. Lutaladio, and M.T. Dahniya.1987. Cassava end African food crisis. Pages 24-29 in Tropical root crops -root crops and theAfrican food crisis. Proceedings, Third Triennial Symposium of the International Society fortropical Root Crops - Africa Branch, edited by E.R Terry, M. Akoroda, and O. B. Arene, 17-23August 1986, Owerri, Nigeria. [8] Jones, D.A. (1998). Why are so many food plants cyanogenic? Phytochemistry, 47(2): 155-162. doi:10.1016/S0031-9422(97)00425-1. PMID 9431670. [9] Lay, J.I., Noike, T., Endo, G. and S. Ishimoto (1997). Analysis of Environmental Factors affecting Methane Production from High Solid Organic Waste.Water Sci. and Tech., 36(6-7): 639-650. [10] Nagamani, B. and K. Ramasamy (1999). Biogas Production Technology: An Indian Perspective. Current Science, 77(1): 44-55. [11] Navarro, A.F., Cegarra, J., Roig, A. and D. Garcia (1993).Relationship between Organic Matter and Carbon Contents of Organic Wastes.Bioresource Technology, 44: 203-207. [12] Ochei, J. and A. Kolhatkar (2008).Medical Laboratory Science, Theory and Practices. Tata McGraw-Hill.
  • 11. International Journal of Civil, Mechanical and Energy Science (IJCMES) [Vol-5, Issue-2, Mar-Apr, 2019] https://dx.doi.org/10.22161/ijcmes.5.2.5 ISSN: 2455-5304 www.ijcmes.com Page | 42 [13] Onwuka, G.I. (2005). Food analysis and instrumentation: Theory and practice. Naphathali Prints, Nigeria. [14] Pearson, D. (1976). Chemical Analysis of Foods.7th Edition.Churchhill Livingstone, London. [15] Richards, B., Herndon, F.G., Jewell, W.J., Cummings, R.J. and T.E. White (1994).In situ methane enrichment in methanogenic energy crop digesters. Biomass and Bioenergy, 6(4): 275-282. doi:10.1016/0961-9534(94) 90067-1. [16] Schumacher, Brian A. (2002). Methods for the Determination of Total Organic Carbon (TOC) in soils and Sediments.USEPA, Washington DC. [17] Ukpai, P.A. and M.N. Nnabuchi (2012).Comparative study of biogas production from cow dung, cow pea and cassava peeling using 45 litres biogas digester.Advances in Applied Science Research, 3(3): 1864-1869. [18] Werner, U., Stoehr, U. and N. Hees (1989).Biogas Plants in Animal Husbandry. German Appropriate Technology Exchange (GATE) and German Agency for Technical Cooperation (GTZ) GmbH. PDF. [19] Yadvika, A., Santosh, A., Sreekrishan, T.R., Kohli, S. and V. Rana (2004).Enhancement of Biogas Production from Solid Substrates Using Different Techniques. Bioresource Technology, 95: 1-10