2015
SESDE 2015 Proceeding
Fuzzy inference about wind resources in urban environment
Authors: Marcos Antonio Cruz Moreira, Roberto Rosenhaim, Robson da Cunha Santos, Gerson Gomes Cunha, Thaiane Fagundes de Araújo Holanda
Abstract
The advancement of renewable energy technology gave rise to the implementation of small wind towers in urban areas. A major problem in predicting the use of such facilities is the difficulty of measuring in micro-regions that suffer different influences of the surrounding environment. Thus a wind tower may be installed where it does not work properly. Fuzzy inference systems try to approach the thinking process of human language allowing for a more assertive decision process. For the development of a fuzzy inference system dealing with this issue it was necessary to determine the variables that most impact on the variation of the wind distribution in micro urban environment as well as using data from automatic weather stations which allow to estimate the wind regime for a macro region. These data are fed in a fuzzy inference system that outputs an adequacy rank for sitting a small wind tower.
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