This work presents a model to predict the effect of surface stresses on the ith-mode bending resonant frequency of microcantilevers and its experimental validation. With this model, one can calculate the surface stress acting upon the microcantilever solely by measuring resonant frequencies whereas previously one needed to measure the deflection. Resonant frequency measurement has distinct advantages in terms of ease and accuracy of measurement.

The transition from fossil fuel to a green economy has led to the rise of renewable energy sources. Wind energy stands out because it is free, clean, inexhaustible, has the capacity to generate greater power, and has lower energy costs. From local to global scales, the environmental effects of wind power are frequently positive, in contrast to the negative impacts associated with fossil fuel technologies. These include air pollution, climate change, health risks, high mortality rates, especially in infants, and greenhouse gas emissions. However, all energy sources have an impact on the environment and the economy including wind energy. With the rapid growth of wind energy over the last decade and the future potential of wind power generation, strategic assessment of these environmental and economic impacts, both positive and negative, and developing ways to mitigate these negative impacts are prerequisite operations to be carried out in the overall development of human-, economically- and ecologically-friendly wind energy.

The global population is moving away from fossil fuel technologies due to their many disadvantages, such as air pollution, greenhouse gases emission, global warming, acid rain, health problems, and high costs. These disadvantages make fossil fuels unsustainable. As a result, renewable energy is becoming more attractive due to its steadily decreasing costs. Harnessing renewable energy promises to meet the present energy demands of the African continent. The enormous renewable energy potential available across the African continent remains largely untapped, especially for wind energy. However, marginal and fair wind speeds and power densities characterize African wind energy resulting in low and unsustainable power in many areas. This research develops a techno-economic model for wind energy cost analysis for a novel, Ferris wheel-based wind turbine. The model is used to techno-economically analyze the siting of wind turbine sites in low wind speed areas on the African continent. The wind turbine’s technical performance is characterized by calculating the annual energy production and the capacity factor using the wind Weibull probability distribution of the cities and theoretical power curve of the wind turbine. Its economic performance is evaluated using annualized financial return on investment, simple payback period, and levelized cost of electricity. The techno-economic model is validated for 21 African cities and shows that the Ferris wheel-based design is very competitive with four current, commercial wind turbines, as well as with other sources of energy. Hence, the new wind turbine may help provide the economical, clean, renewable energy that Africa needs.