International Journal of Scientific & Engineering Research, Volume 5, Issue 9, September-2014 972

ISSN 2229-5518

Characteristcs and Composition Analysis of municipal solid waste in Kano, Nigeria

Lawal Abdu Daura, Prof. Joseph Enaburekhan, Dr. A.I. Rufai

Abstract— The municipal solid wastes (MSW ) in Kano, Northern Nigeria are disposed in open waste dumpsites. The existing waste disposal sites in Kano are not properly engineered or managed and characterized by odour, smoke and green house gas emissions which cause pollution problems to the environment which can lead to serious health hazard. Solid waste characteristics and composition analysis are major factors which are considered as basis for the design of efficient, cost effective and environmentally compatible waste management system. In this study the characteristics and composition of municipal solid waste in Kano were estimated and analysed. Solid waste sampling and analysis from four major dumpsites in the municipality were carried out to determine the waste composition and proximate analysis (moisture, content, volatile matter, ash content and fixed carbon) according to the random sampling method based on the American society of Testing and Materials (ASTM) standard. The result of the study shows high percentage of earth /garbage(30.97% -

21.67%), plastics (29.22% -27.88%), agricultural waste has percentage composition ranging from 21.785 to 15.54%, textile waste (11.48%

-5.13%) paper(12.68% - 4.70%), food waste (7.49% - 0.67%) while the least are glass (3.63%-1.57%) and metals (0.19% -0.00%). As municipal solid waste is a potential energy source, the analysis shows heat values ranging from 10.123 MJ/kg (2419.35 kcal/kg) to

8.923MJ/kg (2132.73 kcal/kg) which indicates the feasibility of waste to energy plan such as incineration to produce electricity.

Key words— Characteristics, Composition, Municipal Solid Waste, Analysis, calorific value

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1 INTRODUCTION

Unicipal solid waste (MSW) is produced due to human activities and in the last two decades management of MSW has become a major con-
cern due to considerable increase in its production in both absolute and per capita values[1]. The amount of municipal solid waste produced increases with eco- nomic growth and this demand for efficient solution [2]. It has been estimated
that in 2006 the total amount of municipal solid waste
generated globally reached 2.02 billion tones, repre- senting 7% annual increase since 2003, it is further es- timated that between 2007-2011 global generation of MSW would rise by 37.3% equivalent to 8% increase per capita [3]. Nigeria with a population of 140 million (2006 census) generates about 25
million tones of municipal solid waste per annum
with a generation rate ranging from 0.66kg/capita day
– 0.44kg/capita day [4]. It has been estimated that Ka-
no metropolis generates about 156,676 tonnes of solid
waste per month and with a population of about
3,242,700 the per capita solid waste generation is about 0.56 kg/capita day [4], this makes Kano city se- cond to Lagos in terms of waste generation in Nigeria. Characteristics and composition analysis of municipal solid waste are major factors which are considered in

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1Lawal Abdu Daura is currently pursuing Doctoral degree program in energy engineering at Bayero University, Kano Nigeria E-mail: lawal- daura@yahoo.com

2Joseph Enaburekhan is a Professor of Mechanical Engineering at faculty of Engineering Bayero University,Kano.Nigeria. E-mail: josephenabs@yahoo.co.uk

2Dr. A.I. Rufai is of Mechanical Engineering faculty of Engineering

Bayero University,Kano.Nigeria. . E-mail: airufai@yahoo.com
the design of efficient, cost effective, environmentally compatible waste management system [5]. The provi- sion of sufficient amount of energy is a global chal- lenge faced both by developed and developing coun- tries [6] and the limited supply of natural resources combined with ever growing demand for energy and raw materials has promoted the development of ener- gy recovery from municipal solid waste [7]. The nature and quantity of solid waste is changing overtime with development [8], waste composition studies can there- fore provide meaningful data for design and operation of resource recovery process [9]. The waste disposal sites in Kano are characterized by odour, smoke and green house gas emissions which cause pollution prob- lems to the environment and can lead to serious health hazard. Due to increase in waste generation, the dumpsites within Kano are filling up with waste and soon there would be need to find alternative waste disposal sites. In this study the characteristics and composition of municipal solid waste in Kano metrop- olis were determined and analyzed.

2.0 MATERIALS AND METHODS

2.1 Preliminary data collection of waste dumps Preliminary data of waste dumps in Kano Metropolis were collected from Kano State Refuse management and Sanitation Board (REMASAB). Average monthly waste disposals in the four waste dump sites of Maima- lari (Bompai), Hajj camp, Ubagama and Court road in the Kano Metropolis are shown in table 1.

2.2 Waste characterization/ physical composition Characterization of waste at the disposal sites were carried out according to the American Socie-

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ty for Testing and Materials (ASTM) [10]. The pro- cedure involved random collection of waste from trucks loads in the amount of 15 to 20kg per unit. About 100 kg sample of solid waste was collected per day in each of the four dumpsites. At each dumpsite the collected sample waste was then spread on a polythene sheet and sorted into dif- ferent categories of plastics, paper, textile material, glass, vegetable /Agricultural waste, metal and earth/ decayed matter. The categorized wastes were then weighted using a weighting scale and their percentage weight recorded. This procedure was conducted in the months of October, March and August (2012-2013) to cater for seasonal varia- tions.

2.3 Proximate Analysis

Proximate analysis of the waste was carried ac- cording to ASTM 3173-3175 Standard methods. It involved the determination of moisture content, volatile matter, ash content and fixed carbon of the solid waste samples from the four dumpsites. 2 kg samples of solid wastes were collected from each dumpsite and taken to Laboratory for analysis.

2.3.1 Moisture content

The moisture contents of the collected solid waste samples were determined using ASTM 3173 meth- od. 1kg of the solid waste sample was placed in a pre-weighted dish and placed in an oven at 105 0C to a constant weight. The moisture content was calculated as a percentage as shown in (1):

% moisture content = [(Wet weight – Dry weight)/

Wet weight] x 100 (1)

2.3.2. Volatile matter content

Volatile matter content was determined by
weighting 5g of the dried waste samples and placed in a muffle furnace for 7 minutes at 9500C (ASTM 3175). After combustion, the samples were weighted to determine the ash dry weight, with the volatile matter being the difference between the dried sample and the ash as shown in (2)

% Volatile matter = [(Dry sample weight – Ash weight)/

Dry sample weight]x 100% (2)

2.3.3. Ash and fixed Carbon content Ash content of the samples waste were determined by heating the samples in an oven at 750 0C (ASTM 3174). The resi- due left after combustion represents the ash content. Fixed carbon was determined by the following (3): Fixed Carbon (% weight):

= 100 – weight (% moisture content + %Ash +

% volatile matter) (3)

2.4 CALORIFIC VALUE
The calorific value or lower heat value (LHV) of the municipal waste was determined using proximate analysis models. Proximate analysis models were cre- ated based on the weight percentage of volatile matter and fixed carbon. The advantage of using proximate analysis data is that it gives result based on sample sizes [11] and the models do give an accurate estima- tion of the calorific values (Amin et al, 2011). The mod- el equations for predicting the calorific value of MSW based on proximate analysis are as follows [4], [12],[13]:

(4)

Where LHV : lower calorific value (kcal/kg) V: combustible volatile matter (%), W: moisture content (%)
ii. Bento’s model

(5)

Where LHV : lower heating value (kcal/kg) VM : Volatile matter (%)

3.0 RESULTS AND DICUSSIONS

Preliminary data on solid waste disposal to the four dumpsites was collected as shown table1.
Table 1: Average monthly tonnes of waste disposals in the years 2012-2013

Dumpsite

AVERAGE WASTE DIPOSAL (TONNES)

Monthly Daily

Court

Road

10,674.72

355.82

Maimalari

11,849.81

394.99

Haajj camp

13,046.88

434.90

Ubagama

6,429.65

214.32

Source: Kano State Refuse management and sanitation

Board.

Solid wastes from different collection centers within Kano municipality are collected by trucks to these dumpsites. The data in the table 1 shows the average monthly and daily disposals of solid wastes the four major dumpsites in Kano, with Hajj camp dumpsite having the highest disposal rate of 434.90 tonnes/ day while Ubagama dumpsite having the least with 214.32 tonnes / day.

3.1 Physical composition/ characterization

The result of the characterization of the solid waste at

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the four dumpsites conducted in the months of Octo- ber, March and August (2012-2013) are shown in table2
Table:2 Average % composition (weight)
and August (2013) from the dumpsites. The average result of the proximate analysis is shown in table 3.
Table 3: Average moisture, volatile matter, ash and carbon contents of solid waste from the dumpsites

Proximate Analysis

ITEMS (%

weight)

Court road

Maimalari

Hajj camp

Ubagama

Moisture

43.29

28.77

27.64

26.75

Volatile

matter

54.34

51.23

55.29

57.33

Ash

40.82

45.93

39.99

36.44

Fixed

Carbon

4.84

2.84

4.72

6.19


Fig.1 shows the average percentage distribution of sol- id waste composition at the four dumpsites.
Fig. 1 Average percentage solid waste composition at Court road, Maimalari, Hajj camp and Ubagama dumpsites.
Based on the physical characterization of the solid waste at the four dumpsites, the result shows that earth/garbage have the highest percentage composi- tion (30.97% -21.67%) followed by plastics (29.22% -
27.88%). Agricultural waste has percentage composi- tion ranging from 21.785 to 15.54%, textile waste (11.48% -5.13%)., paper(12.68% - 4.70%), food waste (7.49% - 0.67%) while the least are glass (3.63%-1.57%) and metals (0.19% -0.00%).

3.2 Proximate analysis

Proximate analysis was conducted to determine the
volatile matter, ash content, fixed carbon content and
moisture content of the solid waste from the four dumpsites. The analysis was conducted for the solid waste collected in the months of October (2012), March
The result shows that the solid waste at Court road dumpsite has the highest moisture content of 43.29%, while the waste at Ubagama dumpsite has the lowest moisture content (26.75%) but highest volatile matter content at 57.33%. The ash content ranges from 45.93%
-36.44% with solid waste at Maimalari dumpsite hav-
ing the highest and Ubagama dumpsite the lowest.
Also solid waste at Ubagama dumpsite has the highest
fixed carbon content while Maimalari dumpsite has
the lowest content. Figure 2 shows the presentation of the proximate analysis.

Fig.2 : Average moisture, volatile matter, ash and fixed carbon contents of solid waste at Court road, Maiama- lari, Hajj camp and Ubagama dumpsites

3.3 CALORIFIC VALUE

The lower caloric value or lower heat value (LHV) of the municipal solid waste was determined using math- ematical model based on the proximate analysis (equa- tion 4). Table 4 shows the calorific values of MSW at the four dumpsites.
Table 4: Lower heat values (LHV) of MSW at the four
dumpsites

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The lower heat values of the MSW in the four dumpsites ranges from 10.123 MJ/kg – 8.923 MJ/kg with MSW from ubagama dumpsite having the highest LHV(10.123 MJ/kg) while MSW at Maiamalari dumpsite have the lowest (8.923 MJ/kg).

4.0 CONCLUSION

Solid waste composition and characterization analysis are critical in resource recovery in management of mu- nicipal solid waste. Characterization and composition analysis of municipal solid waste from major dumpsites in Kano municipal was conducted and the result shows high percentage of earth /garbage(30.97%
-21.67%), plastics (29.22% -27.88%), agricultural waste
has percentage composition ranging from 21.785 to
15.54%, textile waste (11.48% -5.13%) paper(12.68% -
4.70%), food waste (7.49% - 0.67%) while the least are glass (3.63%-1.57%) and metals (0.19% -0.00%). As mu- nicipal solid waste is a potential energy source, the analysis shows heat values ranging from 10.123 MJ/kg (2419.35 kcal/kg) to 8.923MJ/kg (2132.73 kcal/kg) which indicates the feasibility of waste to energy plan such as incineration to produce electricity.

REFERENCES

[1] Mohd Shahir Z., Wan Mohd, F. W., Mohd Armi, A.B. “Study on Solid Waste Generation in KUANTAN, Malaysia: Its potential for Energy gen- eration,” International Journal of Engineering Science and Technology, Vol. 2(5), 1338-1344,2010.

[2] Magrinho, A., Semiao, V.,” Estimation of residual municipal solid waste heating value as a function of waste component recycling,”Waste Management, 28:

2675-2683, 2008.

[3] UNEP: “Developing Integrated solid waste Management,”

Plan Training manual vol. 2. 2009.

[4] Ogwueleka, T. Ch., “Municipal solid waste characteristics

and management in Nigeria,” Iran Journal of Environment, Health, Science and Engineering, 6(3): 173-180,2009,

[5] Rajesh,B.K., S.,Suresh A.K. Sharma, “characteristics of Municipal solid waste Generated by the city of Bhopal, India,” International Journal of Chem Techh Research CODEN USA: IJCRGG, VOL.5, No.2 pp

623-628, April – June, 2013.

[6] Mehrzad,E.A.,Masoud and Mansour,E., “.Socioeconomic factors affecting household energy

consumption in Qom, Iran”, Journal of Applied Sci- ences,7:2876-2880, 2007.

[7] Amin, K., Go Su, Y.,” Energy potential from munic- ipal solid waste in Tanjung Langsat landfill, Johar, Malaysia”. International Journal of Engineering Science and Technology (IJEST). 3: 8560-8566, 2011.

[8] EEA (European Environmental Agency), “ Case studies on waste minimization practices in Europe,” Copenhagen, 2002.

[9] Mark, B., John C., “Waste composition in the North

east U.S. : Implications for resource recovery,” Pro- ceedings of the 18th Annual North American Waste

– Energy Conference NAWTEC 18, May, 11-13,2010.

Orlando, Florida, U.S.A.

[10] ASTM, “Standard Test Method for Determination of

the composition of Unprocessed Municipal Solid waste,” ASTM Standard D 5231-5292 (Reapproved

1998). American Society for Testing and Materials

US.

[11] Liu JI, Paode R, Holsen T., “Modeling the energy

content of municipal solid waste using multiple re- gressionanalysis,” Jo urnal of the Air and Waste Man- agement Association 46:650±6, 1996.

[12] Moh’d Abu-Qudais, Hani A. Abu-Qudais,” Energy content of Municipal soild waste in Jordan and its potential utiliza- tion,” Energy Conversion & Management, 41; 983-991, 2000.

[13] Kathiravalea, S., Yunusa, M., Sopianb, K., Samsud-

din A.,” Modeling the heating value of Municipal solid waste,” Fuel,82,1119-1125, 2003.

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