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Power generation problems ranking using a combination of ahp and moora techniques

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The inadequate electricity generation in Nigeria is the major reason for her economic woes. From the literature some of the problems affecting power generation in Nigeria are lack of policy continuity, drought, Militant activities and corruption. However the degree of impact each of the problem has on power generation varies. Therefore there a need to develop a tool that will identify critical problems such that power generation managers’ will use bulk of the meagre available resources in addressing the more critical ones. In this paper a tool which combine Multi-Objective Optimisation on the basis of Ratio Analysis (MOORA) technique with Analytical Hierarchy Process (AHP) is proposed for the prioritisation of the problems affecting power generation in Nigeria. The technique is illustrated with a numerical example developed from data from experts. From the result of the analysis, poor maintenance of power generation infrastructure, militant activities and corruption are the most critical problems hampering power infrastructure development in Nigeria. The proposed technique have been proven to be effective in prioritising power generation challenges as it produces almost completely same result with well-known mathematical techniques in literature.
Rocznik
Strony
155–--168
Opis fizyczny
Bibliogr. 17 poz., tab.
Twórcy
autor
  • Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, Nigeria
autor
  • Department of Marine Engineering, Federal University of Petroleum Resources, Effurun, Nigeria
Bibliografia
  • 1. Brauers W.K.M. & Zavadskas E.K. (2006) The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35(2), pp. 445-469.
  • 2. Caputo AC, Pelagagge PM, & Salini P. (2013) AHP-based methodology for selecting safety devices of industrial machinery. Safety Science, 53, pp. 202-218.
  • 3. Chakraborty S. (2011) Applications of the MOORA method for decision making in manufacturing environment. The International Journal of Advanced Manufacturing Technology, 54 (9-12), pp. 1155-1166.
  • 4. Dağdeviren M., Yavuz S. & Kilinę N. (2009) Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36(4), pp. 8143-8151.
  • 5. Emovon I., Adeyeri M.K. & Kareem B. (2011a) Power generation in Nigeria; Problems and solution. In International conference of Nigerian association for energy economics. NAEE, Abuja.
  • 6. Emovon I., Kareem B. & Adeyeri M.K. (2011b) Performance evaluation of Egbin Thermal Power Station, Nigeria. In Proceedings of the world congress on engineering and computer science California, United States, October 19, pp. 19-21.
  • 7. Emovon I., Norman R.A. & Murphy A.J. (2016) The development of a model for determining scheduled replacement intervals for marine machinery systems. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, e-published ahead of print, Doi: 10.1177/1475090216681345.
  • 8. Görener A., Dincer H. & Hacioglu U. (2016) Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for bank branch location selection. International Journal of Finance & Banking Studies (2147-4486), (2), pp. 41-52.
  • 9. Karande P. & Chakraborty S. (2012) Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials & Design, 37, pp. 317-324.
  • 10. Olaoye T., Ajilore T., Akinluwade K., Omole F. & Adetunji A. (2016) Energy Crisis in Nigeria: Need for Renewable Energy mix, American Journal of Electrical Electronics Engineering, (4)1, pp. 1-8.
  • 11. Ohajianya A.C., Abumere O.E., Owate I.O. & Osarolube E. (2014). Erratic Power Supply in Nigeria: Causes and Solutions. International Journal of Engineering Science Invention, 3(7), pp. 51-55.
  • 12. Oyedepo S.O. (2012) Energy and sustainable development in Nigeria: the way forward. Energy, Sustainability and Society, 2(1), pp. 1-17.
  • 13. Oyedepo S.O., Fagbenle R.O., Adefila S.S. & Adavbiele S.A. (2014) Performance evaluation and economic analysis of a gas turbine power plant in Nigeria. Energy Conversion and Management, 79, pp. 431-440.
  • 14. Oricha J.Y. & Olarinoye G.A. (2012) Analysis of interrelated factors affecting efficiency and stability of power supply in Nigeria. International Journal of Energy Engineering, 2(1), pp. 1-8.
  • 15. Saaty T.L. (1980) The Analytical Hierarchy Process, Newyork: McGraw-Hill.
  • 16. Sambo A.S., Garba B., Zarma I.H. & Gaji M.M. (2012) Electricity generation and the present challenges in the Nigerian power sector. Journal of Energy and Power Engineering, 6(7), pp. 1050.
  • 17. Yazdani M., Zavadskas E.K., Ignatius J. & Doval Abad M. (2016) Sensitivity Analysis in MADM Methods: Application of Material Selection. Engineering Economics, 27(4), pp. 382-391.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5b96de05-f1ec-4634-8029-340296ff85b4
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