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All Journal Jurnal Scientia Britain International of Exact Sciences Journal (BIoEx Journal) Green Engineering: Journal of Engineering and Applied Science Journal Majelis Paspama
Godspower Onyekachukwu Ekwueme
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Physics

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Journal : Journal Majelis Paspama

 1 
Life-Cycle Cost Analysis of a 220Ah Tubular Battery in a Solar-Powered Academic Setting Obiora Jeremiah Obiafudo; Godspower Onyekachukwu Ekwueme; Ugochukwu Richards Orji; Clement Nworji Obiora
Journal Majelis Paspama Vol. 3 No. 02 (2025): Journal Majelis Paspama, 2025
Publisher : Journal Majelis Paspama

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Abstract

Reliable energy storage remains a critical challenge in sustaining solar-powered systems within academic environments, particularly in Nigeria where erratic grid supply hinders teaching and research activities. Batteries constitute the most cost-intensive component of solar installations, and their economic performance determines long-term viability. The study integrated MATLAB/Simulink simulations, field observations, and expert input. The analysis followed three stages: system modeling, performance evaluation, and economic benchmarking. Monocrystalline PV modules (220–330 W, 18–20% efficiency) were configured with 7° tilt and passive cooling to optimize performance in Nigeria’s tropical climate. A 60A MPPT controller and 1 kW inverter enhanced efficiency, while protections improved system reliability. Life-cycle cost analysis (LCCA) over 15 years at 10% discount rate compared tubular lead-acid and LiFePO₄ batteries, revealing LiFePO₄’s long-term cost advantage. Sensitivity analysis and benchmarking confirmed its superior cycle life, reduced maintenance, and lower levelized storage costs. The life-cycle cost analysis showed that tubular lead-acid batteries were cheaper upfront (₦92,000/kWh vs. ₦230,000/kWh) but incurred higher O\&M (₦46,000/kWh every 5 years) and required replacements at years 5 and 10, raising their 15-year cost to ₦400,200/kWh. LiFePO₄, though costlier (₦481,100/kWh total), offered longer lifespan, lower O\&M (₦18,400/kWh), and higher salvage value (₦34,500). Net Present Cost was lower for tubular (₦248,500/kWh vs. ₦289,200/kWh), yet LiFePO₄ delivered a better Levelized Cost of Storage (₦98/kWh vs. ₦127/kWh) and achieved payback in 8.2 years. Thus, tubular favored affordability, while LiFePO₄ provided superior long-term value and reliability for Nigerian universities. The study recommends a shift toward durable storage technologies to enhance reliability, reduce operating costs, and strengthen energy security in Nigerian universities.
Ramifications of Artificial Intelligence on Organizational Performance in Nigeria Godspower Onyekachukwu Ekwueme; Uchendu Onwusoronye Onwurah; Ifenyinwa Faith Ogbodo
Journal Majelis Paspama Vol. 2 No. 2 (2024): Journal Majelis Paspama, July 2024
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Artificial intelligence (AI) has been identified to be very significant in the twenty-first century in almost every discipline, including engineering, science, education, medical, business, accounting, finance, marketing, economics, manufacturing, the stock market, and law. This study examined the impact of artificial intelligence on organizational performance in a microfinance bank. Relevant data were drawn from selected one hundred (100) staff of XYZ Microfinance bank based in Nigeria, using a well-structured questionnaire. The data collected were descriptively analyzed. The results showed that artificial intelligence has positive impact on the organizational performance. The results also revealed that high cost of implementation, anxiety among workers, role displacement, ethical issues, significant investment in technology and training, among others are the challenges affecting the adoption of artificial intelligence in the business organization in Nigeria. The study recommends that Businesses must take proactive measures to address the obstacles to AI adoption if they want to optimize the technology's beneficial effects on organizational performance.
Co-Authors Anizoba, Daniel Chinazom Augustine Uzodinma Madumere Calistus Princewill Odeh Chibuzo Ndubuisi Okoye Christian Emeka Okafor Chukwunedum, Ogochukwu Chinedum Clement Nworji Obiora Ifenyinwa Faith Ogbodo Obiora Jeremiah Obiafudo Peter Chukwuemeka Ugwu Uchendu Onwusoronye Onwurah Ugochukwu Richards Orji