Utilization of organic fraction of municipal solid waste (OFMSW) as compost: a case study of Florida, South Africa
- Authors: Ayeleru, Olusola Olaitan , Ntuli, Freeman , Mbohwa, Charles
- Date: 2016
- Subjects: Florida , Composting , Municipal solid waste
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/214079 , uj:21234 , Citation: Ayeleru, O.O., Ntuli, F & Mbohwa, C. 2016. Utilization of organic fraction of municipal solid waste (OFMSW) as compost: a case study of Florida, South Africa.
- Description: Abstract: Composting of municipal solid waste is one of the means of diverting organic waste from the waste streams thus eliminating the use of landfills. This process will ensure availability of cheaper materials which can enhance soil fertility thus leading to reduction of pollution and increasing life span of the landfill site. Availability of reliable data on waste composition and characterization studies will be invaluable to policy makers for formulation of policy on proper waste management. Also, quantification and characterization of municipal solid waste (MSW) are vital tools for decision making for adequate planning on sustainable solid waste management (SSWM)...
- Full Text:
Technology selection and siting of a biogas plant for OFMSW via multi-criteria decision analysis
- Authors: Kigozi, R. , Aboyade, A. O. , Muzenda, E.
- Date: 2015
- Subjects: Biogas , Digester gas , Municipal solid waste
- Language: English
- Type: Article
- Identifier: http://ujcontent.uj.ac.za8080/10210/384643 , http://hdl.handle.net/10210/56250 , uj:16347 , Citation: Kigozi, R., Muzenda, E. & Aboyade, A. 2015. Technology selection and siting of a biogas plant for OFMSW via multi-criteria decision analysis. South African Journal of Chemical Engineering, 20(1):1-15 , ISSN:1026-9185
- Description: Abstract: Multi-criteria decision analysis (MCDA) techniques were applied to choose a biogas digester technology and a site from a list of potential alternatives for an anaerobic digestion (AD) system utilising the organic fraction of municipal solid waste (OFMSW) based on a case study at the University of Johannesburg’s Doornfontein campus in South Africa. The simple multi-attribute rating technique (SMART) and analytic hierarchy process (AHP) techniques of MCDA were used to select a suitable biodigester model and site respectively. From a list of 14 biodigester technologies to be established at 1 of 3 potential sites in the study area, the most preferred model was the Puxin digester to be sited near the Aurum ladies’ residence within the school campus to supply biogas for heating purposes.
- Full Text:
Municipal solid waste data quality on artificial neural network performance
- Authors: Masebinu, S. O. , Akinlabi, Esther Titilayo , Muzenda, E. , Aboyade, A. O. , Mbohwa, Charles , Manyuchi, M. , Naidoo, P.
- Date: 2017
- Subjects: Municipal solid waste , Neural network , Forecasting
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/250701 , uj:26128 , Citation: Masebinu, S.O. et al. 2017. Municipal solid waste data quality on artificial neural network performance. 2nd International Engineering Conference (IEC 2017) Federal University of Technology, Minna, Nigeria.
- Description: Abstract: Short and long-term municipal solid waste (MSW) management requires adequate planning. Understanding the relationship among variables that affect MSW generation and predicting MSW based on them is needed for an effective planning. Methodologies to forecast MSW are numerous and have been implemented at different level of data granularity. Lack of data in many African cities and countries has hampered effective waste management plan. The lack of data has mainly been attributed to insufficient budget and lack of capacity to implement such management structure. In this study, we investigated the impact of data quality on forecasting efficiency using advanced prediction techniques. It was observed that the quality of waste related data variables determines the extent of model reliability and prediction accuracy.
- Full Text:
Municipal solid waste composition determination in the city of Johannesburg
- Authors: Ayeleru, Olusola Olaitan , Ntuli, Freeman , Mbohwa, Charles
- Date: 2016
- Subjects: City of Johannesburg , Municipal solid waste , Robinson deep
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/214092 , uj:21235 , Citation: Ayeleru, O.0., Ntuli, F & Mbohwa, C. 2016. Municipal solid waste composition determination in the city of Johannesburg.
- Description: Abstract: This paper aims at determining the composition of various waste components at Robinson Deep landfill site (LS). The waste composition study was conducted during the summer in 2015 at Robinson LS to evaluate the various component of wastes received at the site. This was done in order to determine the amount of organic wastes that are generated daily as a basis for waste to energy (WtE) proposition in the City of Johannesburg (CoJ). The methodology used was in accordance with two international standards. Hands sorting were utilized and the samples were classified into nine broad categories. The categories include; paper, organics, plastics, metals, glasses, textiles, construction and demolition (C &D), special care and other wastes...
- Full Text:
Multilayer perceptron artificial neural network for the prediction of heating value of municipal solid waste
- Authors: Olatunji, Obafemi O. , Akinlabi, Stephen , Madushele, Nkosinathi , Adedeji, Paul A. , Felix, Ishola
- Date: 2019
- Subjects: Municipal solid waste , High heating value , Multilayer perceptron
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/405733 , uj:34082 , Citation: Olatunji, O.O. et al. 2019. Multilayer perceptron artificial neural network for the prediction of heating value of municipal solid waste.
- Description: Abstract: Energy from municipal solid waste is steadily being integrated into the global energy feedstock, given the huge amount of waste being generated from various sources. This study develops a Multilayer Perceptron Artificial Neural Network for the prediction of High Heating Value of municipal solid waste as a function of moisture content, carbon, hydrogen, oxygen, nitrogen, sulphur, and ash. A total of 123 experimental data were extracted from reliable database for training, testing, and validation of the model. This model was trained, validated and tested with 70%, 20%, and 10% of the municipal solid waste biomass datasets respectively. The predicted High Heating Value was compared with the experimental data for two different training functions: Levenberg Marquardt backpropagation and Resilience backpropagation, and with some correlation from the literature. The accuracy of the model was reported based on some known performance criteria. The values of Root Mean Squared Error (RMSE), Mean Absolute Deviation (MAD), Mean Absolute Percentage Error (MAPE), and Coefficient of Correlation (CC) were 3.587, 2.409, 21.680, 0.970 respectively for RP and 3.095, 0.328, 22.483, 0.986 for LM respectively. Regression analysis was also carried out to determine the level of correlation between the experimental and predicted High Heating Values (HHV). The authors concluded that these models can be a useful tool in the prediction of heating value of MSW in order to facilitate clean energy production from waste.
- Full Text:
Experimental evaluation using plastic waste, paper waste, and coal as fuel in a chemical looping combustion batch reactor
- Authors: Yaqub, Zainab Temitope , Oboirien, Bilainu Obozokhai , Hedberg, Marcus , Leion, Henrik
- Date: 2021
- Subjects: Chemical looping combustion , Ilmenite , Municipal solid waste
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/478632 , uj:43263 , Citation: Yaqub, Z.T. et al. 2021. xperimental evaluation using plastic waste, paper waste, and coal as fuel in a chemical looping combustion batch reactor.
- Description: Abstract: A comparative study of chemical looping combustion (CLC) with paper, plastic, and coal as fuel was carried out. Experiments were performed in a laboratory fluidized-bed reactor by alternating between reduction and oxidation cycles. The results obtained indicated that a higher temperature leads to an increase in the CO2 yield and carbon conversion for all fuels. Paper had the highest fractional conversion of CO to CO2 followed by polyvinyl chloride (PVC) and coal. This was due to the higher fraction of volatiles in paper compared to PVC and coal. Scanning electron microscopy (SEM) analysis of the oxygen carrier particle after each of the solid fuel experiment was carried out. For the used ilmenite, there was a slight difference in the morphology for the three different fuels.
- Full Text:
Bio-methane potential of the organic fraction of municipal solid waste
- Authors: Mojapelo, N. , Muzenda, Edison , Kigozi, R. , Aboyade, A. O.
- Date: 2014
- Subjects: Biogas , Bio-methane , Municipal solid waste
- Type: Article
- Identifier: uj:5022 , http://hdl.handle.net/10210/13165
- Description: Biogas is a gas formed from the breakdown of biomass by microorganisms in an anaerobic environment composed of methane (50%–70%) and carbon dioxide (30%–50%). The upgrading of biogas by the removal of carbon dioxide to increase the percentage of methane to over 92% produces bio-methane which is a potent versatile clean fuel. This paper represents a study that was carried out at the University of Johannesburg’s Doornfontein Campus (UJ DFC) to ascertain the potential of bio-methane recovery from the organic fraction of municipal solid waste (OFMSW) collected at the campus’ cafeteria and student residences. ...
- Full Text:
Assessment of the municipal solid waste transfer stations suitability in Harare, Zimbabwe
- Authors: Nhubu, Trust , Muzenda, Edison , Belaid, Mohamed , Mbohwa, Charles
- Date: 2021
- Subjects: Municipal solid waste , Waste transfer station , Life cycle impacts
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/488838 , uj:44548 , Citation: Nhubu, T. et al. 2021. Assessment of the municipal solid waste transfer stations suitability in Harare, Zimbabwe. Advances in Science, Technology and Engineering Systems Journal, 6(2): 1002-1012 , ISSN: 2415-6698
- Description: Abstract: Please refer to full text to view abstract.
- Full Text:
A review on factors affecting municipal solid waste generation
- Authors: Masebinu, S. O. , Akinlabi, Esther Titilayo , Muzenda, E. , Aboyade, A. O. , Mbohwa, Charles , Manyuchi, M. , Naidoo, P.
- Date: 2017
- Subjects: Municipal solid waste , Waste quantity , Waste generation factors
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/250378 , uj:26089 , Citation: Masebinu, S.O. et al. 2017. A review on factors affecting municipal solid waste generation. 2nd International Engineering Conference (IEC 2017) Federal University of Technology, Minna, Nigeria.
- Description: Abstract: Municipal solid waste (MSW) management is not a one-off planning, it is a dynamic evolution and planning has to cater for it. The quantity of MSW generated and composition form the basis for planning and management of MSW. However, for an effective MSW reduction policy to be implemented, generated quantity of MSW is not sufficient alone for policy implementation but more of the variables affecting the generation rate and composition are critical. Without an in-depth understanding of these variables, waste reduction policies may be ineffective and unsuccessful. In this study, we reviewed the impact of these factors on MSW. A case of the City of Johannesburg (CoJ) was studied. Population and gross domestic product (GDP) are the two compelling factors affecting MSW generation. The waste generation per capita is influenced by income level. High income group generate on average 1.91 kg/capita/day, middle income group generates 1.01 kg/capita/day and low income group 0.92 kg/capita/day. This put the CoJ total waste generated at an average of 1.83 million ton/year.
- Full Text: