Ogbonnaya Inya Okoro

Prof. Dr. Ogbonnaya Inya Okoro

Michael Okpara University of Agriculture, Umuahia, Abia, Nigeria
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2017 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Closed access
Udochukwu B. AkuruUdochukwu B. Akuru
Udochukwu B. Akuru
IOIfeanyichukwu E. Onukwube
Ifeanyichukwu E. Onukwube
Ogbonnaya Inya OkoroOgbonnaya Inya Okoro
Ogbonnaya Inya Okoro
EOEmeka S. Obe
Emeka S. Obe

1 August 2007 in Journal of Energy in Southern Africa
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Journal Article
Open access
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Ogbonnaya Inya OkoroOgbonnaya Inya Okoro
Ogbonnaya Inya Okoro
ECE. Chikuni
E. Chikuni
Constant power supply is the hallmark of a devel-oped economy. Any nation whose energy need is epileptic in supply, prolongs her development and risks losing potential investors. Nigeria, a country of over 120 million people, has for the past 33 years of establishment of the National Electric Power Authority (NEPA) agency empowered with the elec-tricity generation, transmission and distribution, wit-nessed frequent and persistent outages. Presently, the federal government has embarked on power sector reforms with the intention of improving the above unpalatable scenario and in turn reduce the scope of monopoly control of the nation’s power industry. This paper therefore looks at the overall power sector reforms as well as evaluates the opportunities and challenges there from; while advocating introduction of a demand side manage-ment (DSM) program by Power Holding Company of Nigeria (PHCN) as a way of reducing energy con-sumption among customers with emphasis on ener-gy conservation, energy efficiency and load man-agement.

1 July 2004 in Renewable Energy
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Journal Article
Closed access
Ogbonnaya Inya OkoroOgbonnaya Inya Okoro
Ogbonnaya Inya Okoro
TMT.C Madueme
T.C Madueme

1 March 2006 in International Journal of Sustainable Energy
Verified
Journal Article
Closed access
Ogbonnaya Inya OkoroOgbonnaya Inya Okoro
Ogbonnaya Inya Okoro
TMT. C. Madueme
T. C. Madueme
Electrical energy is the pivot of all developmental efforts in both the developed and the developing nations. Because sources of conventional energy are finite and fast depleting, most industrialized countries have started research on solar energy as a renewable source of energy. This paper presents the present state of conventional energy generation in a developing economy like Nigeria. The efforts made in solar energy research and utilization are highlighted. A case is made for a systematic and coordinated financial investment in solar energy research and adaptation to complement energy generation from conventional sources.

1 December 2010
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Conference Paper
Closed access
Udochukwu B. AkuruUdochukwu B. Akuru
Udochukwu B. Akuru
Ogbonnaya Inya OkoroOgbonnaya Inya Okoro
Ogbonnaya Inya Okoro
Data for investment into renewable energy resources in Nigeria is mainly unavailable due to over reliance on conventional resources for energy generation. However, recent developments in the energy sector have portrayed a gradual attention to investments in renewable energy resources. This paper reviews the Renewable Energy Master Plan (REMP) which identifies this improvement and presents a draft on how an increase in investment in renewable energy resources will in the long run balance the national energy equation, ensure energy security and promote sustainable development.

23 October 2024 in Energies
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Journal Article
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Kelvin Nkalo UkoimaKelvin Nkalo Ukoima
Kelvin Nkalo Ukoima
Ogbonnaya Inya OkoroOgbonnaya Inya Okoro
Ogbonnaya Inya Okoro
POPatrick Ifeanyi Obi
Patrick Ifeanyi Obi
UAUdochukwu Bola Akuru
Udochukwu Bola Akuru
Innocent Ewean DavidsonInnocent Ewean Davidson
Innocent Ewean Davidson
This work utilizes the particle swarm optimization (PSO) for optimal sizing of a solar–wind–battery hybrid renewable energy system (HRES) for a rural community in Rivers State, Nigeria (Okorobo-Ile Town). The objective is to minimize the total economic cost (TEC), the total annual system cost (TAC) and the levelized cost of energy (LCOE). A two-step approach is used. The algorithm first determines the optimal number of solar panels and wind turbines. Based on the results obtained in the first step, the optimal number of batteries and inverters is computed. The overall results obtained are then compared with results from the Non-dominant Sorting Genetic Algorithm II (NGSA-II), hybrid genetic algorithm–particle swarm optimization (GA-PSO) and the proprietary derivative-free optimization algorithm. An energy management system monitors the energy balance and ensures that the load management is adequate using the battery state of charge as a control strategy. Results obtained showed that the optimal configuration consists of solar panels (151), wind turbine (3), inverter (122) and batteries (31). This results in a minimized TEC, TAC and LCOE of USD 469,200, USD 297,100 and 0.007/kWh, respectively. The optimal configuration when simulated under various climatic scenarios was able to meet the energy needs of the community irrespective of ambient conditions.