| This dissertation focuses on the selection of renewable energy power generating units for a household to meet the power demand. As the appliances increase, the power consumption increases and power generation needs to increase correspondingly. If the homes are powered by renewable energy sources such as wind and solar energy, the carbon content in the atmosphere released from fossil fuels can be significantly reduced. Utilizing these renewable sources reduces the impact on the environment and saves energy bills. By not releasing any carbon into the air and saving the building material and water, the environment will be clean and thus the home can be called green home. This dissertation is divided into three parts to investigate the supply of power through selected renewable energy power generation units using an optimization algorithm. The first part is the selection of units for a grid-connected household to meet the average power demand. The second part is the economic analysis study on the selection of units for a household, where feasible and economical solutions are proposed for a green home. The third part is the selection of units for an off-grid home which uses a diesel generator as a reserve unit for power generation, based on power demand through user input. Genetic Algorithm (GA) is used to solve the problems given the weather data available from NASA meteorology data tables. |
