Climate change is a major contemporary global challenge. For developing countries like Nigeria, further challenge is poor power supply. Traditional power supply strategy has been through fossil-fuel based macrogrids. While most developed countries are replacing some macrogrids with renewable energy based microgrids, developing countries like Nigeria still maintain the status quo. This study intends to contribute to knowledge in the management of climate change and power supply in Nigeria through the adoption of microgrids as power supply strategy. In the study, data collected from a detached energy consuming community in Nigeria was used in a simulation using HOMER software for five different scenarios of energy resources combination, based on environmental impact and energy cost criteria. Results indicate that microgrids combining solar photovoltaic (SPV) and grid connection with battery energy storage (BES) are best in on-grid detached communities while microgrids combining diesel generators and SPV with BESare good for off-grid communities.
Several methods have been proposed in the past for optimum design of spur gears. These methods have utilized deterministic design optimization techniques to obtain what could be considered satisfactory design parameters. At least two problems arise with the results of the deterministic approach; the inability to deal with uncertainties in material properties and over conservative design. On the other hand, probabilistic analysis methodology seeks to account for the uncertainties in material properties, loading conditions and disparate failure models.
This paper discusses the application of probabilistic design methodology to the design of compact gear set. This is done by minimizing the gear center distance while constrained by the allowable surface pressure and bending stress. A comparison of the results of compact gear design using both deterministic and probabilistic methodologies is presented. The results indicate that deterministic method though satisfactory does not provide the designer enough information to make vast design decisions. The deterministic method provides only one value of the center distance while the probabilistic method provides the designer a range of choices. In fact, a designer is provided a wide range of design options depending on a desired level of reliability.
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