Characterization and projection of dry season municipal solid waste for energy production in Ilorin metropolis, Nigeria

2021 ◽  
pp. 0734242X2098559
Author(s):  
RA Ibikunle ◽  
IF Titiladunayo ◽  
SO Dahunsi ◽  
EA Akeju ◽  
CO Osueke
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Calorific Value ◽  
Electrical Energy ◽  
Dry Season ◽  
Waste Generation ◽  
Heating Value ◽  
Characterization Study ◽  
Solid Waste Generation ◽  
Per Capita

This research investigates the quantity of municipal solid waste produced during the dry season, and its characterization at Eyenkorin dumpsite of Ilorin metropolis, along the Lagos-Ilorin express way. The physicochemical and thermal compositions of the combustible fractions of municipal solid waste were analysed, to ascertain the available calorific value. In this research, the quantity (tonnes) of waste generated, the rate of generation (kg per capita per day), its sustainability and the likely energy and power potentials in the dry season, were essentially predicted. The population responsible for municipal solid waste generation during this study was 1,120,834 people. During the characterization study from November 2018 to February 2019, it was established that 203,831 tonnes of municipal solid waste was produced during the four months of the dry season, at the rate of 1.12 kg per capita per day. It was found that 280 tonnes/day of municipal solid waste with low heating value of 19 MJ kg-1, would generate 1478 MWh of heat energy and 18 MW of electrical energy potentials discretely, and grid of 13 kW.

scholarly journals Per capita municipal solid waste generation and its relationship with socioeconomic and demographic factors in a developing country

2019 ◽  
Vol 15 (36) ◽  
Author(s):  
Diogo Appel Colvero ◽  
Anny Kariny Feitosa ◽  
José Carlos Ramalho ◽  
Ana Paula Duarte Gomes ◽  
Luís António da Cruz Tarelho ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Developing Country ◽  
Demographic Factors ◽  
Waste Generation ◽  
Solid Waste Generation ◽  
Per Capita ◽  
Socioeconomic And Demographic Factors

The impact of socioeconomic factors on municipal solid waste generation in São Paulo, Brazil

2017 ◽  
Vol 36 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Victor H Argentino de Morais Vieira ◽  
Dácio R Matheus
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Socioeconomic Factors ◽  
Solid Waste ◽  
Social Factors ◽  
Solid Waste Management ◽  
Municipal Solid Waste Management ◽  
Waste Generation ◽  
Solid Waste Generation ◽  
Per Capita

Social factors have not been sufficiently explored in municipal solid waste management studies. Latin America has produced even fewer studies with this approach; technical and economic investigations have prevailed. We explored the impacts of socioeconomic factors on municipal solid waste generation in Greater Sao Paulo, which includes 39 municipalities. We investigated the relations between municipal solid waste generation and social factors by Pearson’s correlation coefficient. The Student’s t-test (at p ← 0.01) proved significance, and further regression analysis was performed with significant factors. We considered 10 socioeconomic factors: population, rural population, density, life expectancy, education (secondary, high and undergraduate level), income per capita, inequality and human development. A later multicollinearity analysis resulted in the determination of inequality (rp = 0.625) and income per capita (rp = 0.607) as major drivers. The results showed the relevance of considering social aspects in municipal solid waste management and isolated inequality as an important factor in planning. Inequality must be used as a complementary factor to income, rather than being used exclusively. Inequality may explain differences of waste generation between areas with similar incomes because of consumption patterns. Therefore, unequal realities demand unequal measures to avoid exacerbation, for example, pay-as-you-throw policies instead of uniform fees. Unequal realities also highlight the importance of tiering policies beyond the waste sector, such as sustainable consumption.

scholarly journals Babylon Governorate Municipal Solid Waste Generation Rate

2018 ◽  
Vol 24 (9) ◽  
pp. 64 ◽  
Author(s):  
Jathwa Abd ALKareem Al-Ameen ◽  
Mustafa Akeel Al-Hamdany
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Total Population ◽  
Winter Season ◽  
Solid Wastes ◽  
Generation Rate ◽  
Waste Generation ◽  
Solid Waste Generation ◽  
Per Capita ◽  
Waste Generation Rate

Municipal solid waste generation in Babylon Governorate is often affected by changes in lifestyles, population growth, social and cultural habits and improved economic conditions. This effect will make it difficult to plan and draw up future plans for solid waste management. In this study, municipal solid waste was divided into residential and commercial solid wastes. Residential solid wastes were represented by household wastes, while commercial solid wastes included commercial, institutional and municipal services wastes. For residential solid wastes, the relational stratified random sampling was implemented, that is the total population should be divided into clusters (socio-income level), a random sample was taken in each level in its proportion to the total population. According to the obtained results of the primary survey of 5% standard error and 99% confidence interval, held in Babylon Governorate, the best sample size was 44. Samples were taken as a daily collection for 10 days, this process was repeated for four different periods to cover the change in the waste generation between summer and winter season. The study showed that Babylon Governorate has an average residential solid wastes generation rate of 0.587 kg per capita per day. If the quantities of commercial solid waste were to be added; solid waste generation rate reaches 0.802 kg per capita per day as a 36.6 % increase. The research adopts the value of 0.802 kg/capita. day as a waste generation rate for Babylon Governorate.  

scholarly journals Municipal solid waste higher heating value prediction from ultimate analysis using multiple regression and genetic programming techniques

2018 ◽  
Vol 37 (6) ◽  
pp. 578-589 ◽  
Author(s):  
Imane Boumanchar ◽  
Younes Chhiti ◽  
Fatima Ezzahrae M’hamdi Alaoui ◽  
Abdelaziz Sahibed-dine ◽  
Fouad Bentiss ◽  
...  
Keyword(s):  
Genetic Programming ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Multiple Regression ◽  
Calorific Value ◽  
Heating Value ◽  
Ultimate Analysis ◽  
Msw Management ◽  
Important Challenge ◽  
Programming Techniques

Municipal solid waste (MSW) management presents an important challenge for all countries. In order to exploit them as a source of energy, a knowledge of their calorific value is essential. In fact, it can be experimentally measured by an oxygen bomb calorimeter. This process is, however, expensive. In this light, the purpose of this paper was to develop empirical models for the prediction of MSW higher heating value (HHV) from ultimate analysis. Two methods were used: multiple regression analysis and genetic programming formalism. Both techniques gave good results. Genetic programming, however, provides more accuracy compared to published works in terms of a great correlation coefficient (CC) and a low root mean square error (RMSE).

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