International Journal of Engineering and Modern Technology (IJEMT )

E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 11 NO. 2 2025
DOI: 10.56201/ijemt.vol.11.no2.


Selection of Suitable Power Plants in Two Regions of Nigeria Saturday, E. G. and Oti, J. T.

Selection of Suitable Power Plants in Two Regions of Nigeria, Saturday, E G and Oti, J T


Abstract


Technique of Order Preference by Similarity to Ideal Solution (TOPSIS), a multi-criteria decision making technique, was applied in the selection of power plants for installation in the Niger Delta region and the North-East region of Nigeria. The power plants considered are Gas turbine power plant, steam turbine power plant, combined cycle power plant, hydro power plant, wind turbine energy system and solar PV systems. Seven attributes criteria were used in the selection process. The criteria are installation cost, operation and maintenance cost, availability of primary energy source, consistency of primary energy source, environmental impact of system operation, package sizes and ease of deployment. The attributes were assigned weights obtained from experts in the field. A decision matrix was formed and the entries in the matrix were obtained from experts. The TOPSIS scores obtained from the analysis was used in judging the level of suitability of installing a particular power production system. In the Niger Delta region, the TOPSIS score for the least favourable power plant system (steam turbine power plant) is 0.459 while that for the most favourable power plant system (combined cycle power plant) is 0.712. In the North-East region, the least favourable power plant (steam turbine power plant) has a TOPSIS score of 0.374 while the most favourable power plant to be operated (hydro power plant) has a TOPSIS score of 0.615. Generally, it is more favourable to operate renewable energy systems for power production in the North-East region while the Niger Delta region is more suitable for installing thermal power plants.



References:


[1] Saturday, E. G. (2022). Fundamentals of Power Plant Engineering, University of Port Harcourt
Press, Port Harcourt
[2] Alao, O., & Awodele, K. (2018). An Overview of the Nigerian Power Sector, the Challenges
of its National Grid and Off-Grid Development as a Proposed Solution. 2018 IEEE
PES/IAS PowerAfrica, 178–183.
[3] Oladipo, K., Felix, A. A., Bango, O., Chukwuemeka, O., & Olawale, F. (2018). Power Sector
Reform in Nigeria: Challenges and Solutions. IOP Conference Series: Materials Science
and Engineering, 413. The 2nd International Conference on Engineering for Sustainable
World (ICESW 2018) 9–13 July 2018.
[4] Idowu, S. S., Ibietan, J., & Olukotun, A. (2019). Nigeria’s electricity power sector reform: an
appraisal of unresolved issues. International Journal of Energy Economics and Policy,
9(6), 336–341.
[5] Saturday E. G. (2021). Nigerian Power Sector: A new structure required for effective and
adequate power generation, transmission and distribution. Global Journal of Engineering
and Technology Advances, 1(1), 06–018.
[6] De Sa, A., & Al Zubaidy, S. (2011). Gas turbine performance at varying ambient temperature.
Applied Thermal Engineering, 31(14–15), 2735–2739.
[7] Aminov, Z., Nakagoshi, N., Xuan, T. D., Higashi, O., & Alikulov, K. (2016). Evaluation of the
energy efficiency of combined cycle gas turbine. Case study of Tashkent thermal power
plant, Uzbekistan. Applied Thermal Engineering, 103, 501–509.
[8] Ibrahim, T. K., Rahman, M. M., Ali, O. M., Basrawi, F., & Mamat, R. (2016). Optimum
Performance Enhancing Strategies of the Gas Turbine Based on the Effective Temperatures.
MATEC Web of Conferences, 38, DOI: 10.1051/matecconf/2016380100002
[9] Saturday, E. G., & Efekumo, E. (2019). Comparative Exergo-Economic Analysis of Simple
and Modified Gas Turbine Cycles. Saudi Journal of Engineering and Technology, 4(4),
164–174.
[10] Saturday, E. G. & Nweke, P. (2020). Off-design performance analysis of gas turbines. Global
Journal of Engineering and Technology Advances, 4(2), 001–010.
[11] Abdullahi, D., Suresh, S., Oloke, D., & Renukappa, S. (2017). Solar Energy Development
and Implementation in Nigeria: Drivers and Barriers. Proceedings of SWC2017/SHC2017,
1–9.
[12]Saturday, E. G., & Aderibigbe, A. O. (2020). The Economic Implications of Wind Energy and
Solar Photovoltaic System Utilization for Electricity Generation in Nigeria. Saudi Journal
of Engineering and Technology, 5(12), 524–535.
[13] Esbond, G. I., & Funmilayo, S. W. O. (2019). Solar Energy Potential in Yola, Adamawa State,
Nigeria. International Journal of Renewable Energy Sources, 4, 48–55.
[14] Igbinovia, F. O. (2014). An overview of Renewable energy potential in Nigeria: Prospects,
Challenge and the Way forward. Energetika Journal, 46(507), 570–579.
[15] Emodi, N. V., & Boo, K.-J. (2015). Sustainable energy development in Nigeria: Current status
and policy options. Renewable and Sustainable Energy Reviews, 51, 356–381.
[16] Akorede, M., Ibrahim, O., Amuda, S., Otuoze, A., & Olufeagba, B. (2016). Current status and
outlook of renewable energy development in Nigeria. Nigerian Journal of Technology,
36(1), 196–212.
[17] Olusola B., Dagbasi, M., Akinola Babatunde, & Oluwaseun Ayodele. (2017). A review of
renewable energy potential in Nigeria; solar power development over the years.
Engineering and Applied Science Research, 44(4), 242–248.
[18] Gatugel Usman, Z., Abbasoglu, S., Tekbiyik Ersoy, N., & Fahrioglu, M. (2015). Transforming
the Nigerian power sector for sustainable development. Energy Policy, 87, 429–437.
19]Abanihi, V. K., Ikheloa, S. O., & Okodede, F. (2018). Overview of the Nigerian power sector.
American Journal of Engineering Research, 7(5), 253–263.
[20] Ekpe, U. M., & Umoh, V. B. (2019). Comparative Analysis of Electrical Power Utilization
in Nigeria: From Conventional Grid to Renewable Energy-based Mini-grid Systems.
American Journal of Electrical Power and Energy Systems, 8(5), 111-119.
[21] Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy
environment. Fuzzy Sets and Systems, 114(1), 1–9.
[22] Opricovic, S., & Tzeng, G.-H. (2004). Compromise solution by MCDM methods: A
comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research,
156(2), 445–455.
[23] Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. The International Journal
of Advanced Manufacturing Technology, 28(7–8), 839–844.
[24] Sevkli, M., Zaim, S., Turkyilmaz, A., & Satir, M. (2010). An application of fuzzy Topsis
method for supplier selection. International Conference on Fuzzy Systems, 1–7.


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