Abstract
My project provides an optimization approach for the Altamont Pass Wind Farm that helps meet the energy demand of the City of San Francisco with the aim and goal of achieving net zero emissions by 2030. The main idea is the combination of Betz’s Law, advanced AC-DC converter simulation and a case study that allows the wind farm to provide sustainable and grid-compliant energy efficiently. The wind farm will enhance the energy stability of the city while improving economic efficiency and environmental sustainability and it will also improve the wind energy grid. In this project, MATLAB simulation would be used to get the performance of a wind turbine, AC to DC power conversion by adding a filter shown in figure 10, where the output result is 8.105 V DC. Figure 11 simulation shows the rotor speed fluctuates 5.9 – 8.75 RPM, it is a pulsating DC Output from three-phase rectifier with reduced repulse. My project applies Betz Law, where the turbine can harness no more then 59.3% wind energy with power coefficient CP=0.5. This wind farm optimization project is expected to produce a large amount of energy annually, which will significantly cut down CO2 emissions while bringing in savings. In addition, the results of the project offer techniques that can be applied to other power systems for enhancing the renewable energy grid. This project supports renewable energy ideas and serves as a model for future renewable energy projects. The results for the simulations indicate that good design and converter systems will help obtain higher efficiencies for wind farms and that the renewable energy is sustainable for both urban and rural power grids.