Energy Potential of Solid Waste Generated in Landmark University, Omu- Aran, Kwara State Nigeria
1*Oladejo, O. S, 1Abiola, A. O, 1Olanipekun, A. A, 2Ajayi, O. E and 3Onokwai, A. O
1Department of Civil Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
2Department of Civil Engineering, Landmark University, Omu-Aran, Nigeria
3Department of Mechanical Engineering, Landmark University, Omu-Aran, Nigeria
*Correspondence Author: firstname.lastname@example.org 08035770398
This study aims at determining the energy content from campus wastes and estimation of electricity generation. Samples of solid wastes generated within Landmark University were collected, separated, classified, dried in the oven at 105°C till constant weight was attained, pulverized and sieved using a sieve size of 500 μm. The moisture contents of the waste samples were determined, in triplicates. The digital bomb calorimeter (C-200 Bomb Calorimeter) was used to determine the calorific value of the prepared waste samples. Correlation analysis was carried out to determine coefficients and significant levels; while regression equations were generated, using ANOVA to relate the dependent variable – Potential Electricity Generated (PEG) with independent variables- Total Energy Content (TEC) and Specific Energy Content (SEC). The moisture contents are plastic bottles (0.78%), water sachet (0.82%), and food packs (5.37%), wood wastes and ash (5.35%), food wastes (5.95%), and paper wastes (5.56%). Calorific values of plastic bottles, polythene products, Wood wastes and ash, food wastes, paper wastes and polystyrene (food pack) are 31,246.63, 29,084.24, 17,243.56, 14,360.49, 12,975.42 and 4575.10 kJ/kg, respectively. The total energy content from the campus wastes was estimated at 32,999.30 MJ/day. This implies a possibility of about 0.38MW of electricity generation from daily steam production. There was high level of correlation between the energy value parameters (R > 0.99) and significant at < 0.01. The energy content is expected to grow with the expansion of the campus.
Keywords: Campus wastes, Correlation analysis, Energy content, Electricity generation, Moisture content, Regression equations