Wind energy is one of the fastest growing sectors of renewable energy technologies. Micro-scale wind turbines are becoming increasingly more popular as individuals seek more innovative and efficient ways of reducing their energy demand. However, even with more efficient wind energy harvesting devices, it is not uncommon for the anticipated energy harvesting potential for a wind turbine to be vastly different from the actual energy generation capability for a site. This paper will introduce the problems associated with accurately predicting the energy generation potential of wind energy harvesting systems considering several power loss factors. The focus of this paper is on the use of commonly available engineering tools and simulations to evaluate obstructions on the implementation site and energy harvesting technologies in order to maximize the energy generation potential.
The issues of energy generation prediction accuracy will be addressed by incorporating high-resolution weather data and computer simulations into a predictive model. Additionally, several correction factors and design guidelines for the successful implementation of micro-scale wind turbines will be introduced and discussed. A multi-step approach is introduced to collect weather data, generate revised energy generation potential models for various land regions, account for common site obstructions through the use of correction factors, and formulate a final set of recommendations for the wind turbine implementation site. A set of design guidelines are also developed to assist in turbine placement for specific site locations. The guidelines are based on the revised energy generation prediction model, wind speed correction factors for common site obstructions, orientation and placement of the wind turbine, and other factors. Verification of the guidelines has been performed through Computational Fluid Dynamics simulation. The design approach and guidelines are examined and results presented for one case study.
