Models for Computing Emission of Carbon Dioxide from Liquid Fuel in Nigeria
American Journal of Mathematical and Computer Modelling
Volume 2, Issue 1, February 2017, Pages: 29-38
Received: Sep. 28, 2016;
Accepted: Jan. 17, 2017;
Published: Feb. 17, 2017
Views 2720 Downloads 82
Oyelami Benjamin Oyediran, National Mathematical Centre, Abuja, Nigeria; Faculty of Natural and Applied Sciences, Plateau State University, Bokkos, Nigeria
Buba Maman Wufem, Faculty of Natural and Applied Sciences, Plateau State University, Bokkos, Nigeria
Follow on us
In this paper, Carbon dioxide emission from the liquid fuel supplied in Nigeria by the Nigerian National Petroleum Corporation (NNPC) from 2009 to 2013 is analysed. The CO2 emissions and CO2 emission per capita within the given period are computed and projected emission from 2013 to 2025 made using the greenhouse training equation, artificial neural network (ANN) model and polynomial interpolation method and nonlinear fitting method. The available data from the Nigerian National Petroleum Cooperation (NNPC) is extrapolate from 2013 to 2020 using the polynomial interpolation method and the nonlinear fitting method is utilised to fit the data from 2009 to 2030. It is found that CO2 emission and CO2 emission per capita into the air for Nigeria decreased from 2009 to 2011 but, however, increasing continuously from 2012 to 2025. The increase of carbon dioxide in the Nigerian air space with will pose potential problems in future. Policy must be put in place to reduce carbon dioxide emission by reducing of flaring of natural gasses, introduce electric railways and other energy sources that are based on renewable energy. Enforcement of afforestation and greenhouse gasses emission reduction policies on the country for ecological development. There are other sources of pollution of the atmosphere with CO2 such as flaring of gasses from refineries in Kaduna and Niger Delta areas of Nigeria and burning of bush and burning of solid fuel such as coal in the industries that our research did not cover. These other sources also contribute substantially to CO2 emission in Nigeria.
Carbon Dioxide, Greenhouse, Emission, Training Equation, Artificial Neural Network (ANN), Model and Polynomial Interpolation
To cite this article
Oyelami Benjamin Oyediran,
Buba Maman Wufem,
Models for Computing Emission of Carbon Dioxide from Liquid Fuel in Nigeria, American Journal of Mathematical and Computer Modelling.
Vol. 2, No. 1,
2017, pp. 29-38.
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Avner Friedman (1991), Mathematics in Industrial Problems. The IMA Volumes in Mathematics and Applications. Springer Verlag, Part 4, NEW YORK, USA.
Christiansen A. C. and Haugland T. (2001), Gas Flaring and Global Public Goods. FNI Report 20, Fridtjof Nansen Institute (FNI), Lysaker, 34 p.
Diana Mackenzie (2007), Mathematics of Climate Change: A new discipline for an uncertainty century. Mathematical Science Research. Institute Berkeley CA, USA.
Goyal P. and Anikender Kumar, Mathematical Modeling of air pollutants: An application to Indian Urban city, pp 101- Prof. Dagana Popovic (Ed) www.intechopen.com.
Hassan M. El-Houjeiri, Adam R. Brandt, and James E. Duffy Open-Source LCA Tool for Estimating Greenhouse Gas Emissions from Crude Oil Production Using Field Characteristics. Environ. Sci. Technol., 2013, 47 (11), pp 5998–6006 DOI: 10.1021/es304570m.
Rotty, R. M. (1983), Distribution of and changes in industrial carbon dioxide production, J. Geophys. Res., 88(C2), 1301–1308, doi: 10.1029/JC088iC02p01301.
Russell W. Stratton, Philip J. Wolfe, and James I. Hileman Impact of Aviation Non-CO2 Combustion Effects on the Environmental Feasibility of Alternative Jet Fuels. Environ. Sci. Technol., 2011, 45 (24), pp 10736–10743 DOI: 10.1021/es2017522.
Malumfashi G. I (2007), Phase-Out of Gas Flaring in Nigeria By 2008: The Prospects of a Multi-Win Project (Review of the Regulatory, Environmental and Socio-Economic Issues),” Nigeria Gas Flaring Petroleum Training Journal, Vol. 4, No. 2, pp. 1-39.
Patrick Marchland and Thomas Holland O (2003), Graphics and GUIs with MATLAB. Chapman & HALL/CRC, USA.
Saheed Ismail O., Ezaina Umukoro G. Global Impact of Gas Flaring. Energy and Power Engineering. Vol. 4 No. 4 (2012), Article ID: 20231, 13 pages. DOI:10.4236/epe.2012.44039.
Oyelami B. O. and Asere A. Corrosion in a petroleum industry. Proceeding of National Mathematical Centre of the Workshop on Mathematical Modeling of Environmental Problems. Vol.5, No.1. (2005), 48-67. www.nmcabuja.org/proceedings/workshop_Oyelami_Asere.pdf.
Kuo-lin Hsu, Hoshin Vijai Gupta, Soroosh Sorooshia Artificial Neural Network Modelling of the Rainfall-Runoff Process. Water Resources Research. Volume 31, Issue 10, pages 2517–2530, October 1995.
Nigerian population from 2002-2012. Available on: www.Tradingeconmics.com.