Browsing by Author "Adedipe, .O."

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    Analysis of Solar Energy Potentials in Katsina and Sokoto States, Nigeria
    (Nigerian Institution of Mechanical Engineers (NiMeCHE), 2020-10-20) Irekeola, .B. J.; Bori Ige; Adedipe, .O.; Babawuya, .A.
    For many years, Nigeria has been facing energy crisis that is hampering her economic development. Energy is one of the key fundamentals for economic development and it is also fundamental to all human activities in this era. In this study, renewable energy potentials in Sokoto and Katsina states were analyzed respectively. Data covering a period of ten years (2007 - 2017) were obtained from the Nigerian Meteorological Agency (NIMET), Abuja, for monthly average daily solar radiation, maximum and minimum temperatures for the two states under investigations. The data were subjected to statistical analysis such as normality test, to examine whether the data is normally distributed using standardized coefficient of skewness, and kurtosis using a 250 Watts by 1.68m square solar panel; the results show that the solar radiations are negatively skewed by a value of -0.6 and -0.43, which makes the two states more reliable during the dry season of the year. The two states have a kurtosis of -1.17 and -1.38 indicating that the bell shape is slightly flatten than normal distribution shape. A linear regression model was also developed to predict the trends in solar radiation for the study area. The results show that Katsina state has a higher reliability (0.86) for solar energy potentials than Sokoto state (0.72).
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    Risk Analysis of Wave Energy Converter System Using Failure Mode and Effect Analysis
    (Uniport Journal of Engineering and Scientific Research (UJESR), 2019-12-30) Okoro, .U.; Adedipe, .O.; Bori Ige; Usman, .F. J.; Diugwu, .I.
    This study reports the development of the reliability analysis of a wave energy converter system. It covers the description of a generic wave energy converter with emphasis on the functions of components, the development of the reliability methodology based on Failure mode and effect analysis (FMEA). The highlight of the study is the evaluation, by a team of experts, of the functional failures of the selected components based on risk factors of the probability of occurrence, the severity of consequence and detectability. These evaluations form the basis for the calculation of the Risk Priority Number (RPN): an index representing the risk-held in each of the identified functional failures. The analysis revealed five critical components, namely hydraulic fluid (1000), filter (900), valves (800) and oil reservoir (560) and pressure line (700), whose failure holds about 80% of the total risk exposure of the system. The result of the study can serve as decision support towards - product improvement for emerging technologies as well as towards maintenance prioritization (management) for existing technologies.