There is an increasing focus on utilizing the renewable energy resources, especially solar energy as the fossils are expected to deplete in near future. Solar Photovoltaics have remained of particular interest because of their relative lower overall efficiencies. Most researchers are trying to enhance the overall performance of Solar Photovoltaic and trying to study factor that may possible lead to an increase in the overall performance of a Solar Photovoltaic Panels. A thorough investigation was carried out to study the influence of solar power and solar flux on the performance parameters of Photovoltaic (Polycrystalline). The data used in the research was obtained by in-situ measurement approach using an SM206 precision digital solar power meter, a digital solar flux meter, and an M890C+ digital Multimeter. The result obtained shows an interesting correlation for current, efficiency and solar power as well as for solar flux which indicates that high solar power and solar flux positively enhances the performance of the photovoltaic. The results also reveal that once the solar power or solar flux reaching the photovoltaic exceeds 200W/m2 or 20Klux, the voltage from the photovoltaic approaches maximum and remains fairly stable irrespective of the amount of solar power or solar flux reaching the photovoltaic. The data collected for three months, July, August and September shows prediction efficiency of 87 %, 63% and 71% at 11:30am, 12:30 pm and 10:30 am respectively.

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Estimation of background induced temperature from six selected Bakery Ovens in Calabar was investigated. An in-situ measurement approach was adopted in order to quasi-accurately estimate temperature of Oven; wind speed in bakery and ambient temperature around the bakery. The relationships between the measured parameters were obtained from plots of wind speed against Temperature and Temperature of oven against distance from Oven. Statistical correlations of wind speed values and temperature were estimated, which yielded a good positive correlation coefficient for wind speed and temperature in all cases and for all the six locations under study, with the relevant plots; these clearly show that all of the two parameters; wind speed and temperature are necessary to be used in analysing and assessing the wellbeing of workers in the perceived heat stressed environment. On the other hand, the coefficient of determination value shown on each of the correlation plots depicts that the models relating the Temperature and wind speed in each case respectively are good performing models. It was found out that the temperature exposure of workers in all the bakeries under study exceeded the WHO (20oC -29oC) exposure limit for comfort.  All the bakeries visited during this study used firewood industrial oven.

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Background radiation from the use of photocopies, computers and other electronic devices around River State University of Science and Technology was measured using a specialize digital, radiation meter type, radalert -50, which is optimized to detect radiations like alpha, beta, gamma and x-rays. Measurements were carried out within seven working hours of the day and for seven days of the week in each of the five locations selected evenly. Using a calibration factor linked to Cs-137, the values obtained in count per minute (CPM) were converted to dose equivalent rate in mSv/Week. Results show that an average radiation level of 2.87x10 -3 mSv/Week was prevalent. This is clearly below the recommended safety radiation limit of 2.0x10 -2 mSv/Week as prescribed by ICRP, hence no cause for alarm.