Method for estimating the wind power micro and minigeneration applied to a city with a subtropical climate in south America

Abstract

The search for renewable resources has become necessary for sustainable development. Wind energy is a clean energy source and of global importance, but most studies refer to high altitude and are carried out by researchers in developed countries. In this work, the objective was to evaluate the potential of micro and mini-generation (low heights) wind power in Cascavel-PR, a city located in southern Brazil, as an example of the application of the proposed methodology. For this purpose, wind speed and direction data were used, with a historical series of 21 years (1997-2017). The land use and occupation were performed in a semi-automatic way using Sentinel-2 satellite images. To generate the maps, an algorithm was created in Spring software, which correlated the land use and land cover information, the wind speed kriging and the formula coefficient values according to the identified obstacles. With this it was possible to conclude that regarding the period, spring is considered the season of the year with the greatest energy potential, where the highest averages for speed and power were estimated. It was also noted that the 40-meter-high range has the greatest potential and that the prevailing winds come from the northeast.

Main predictors of phytoplankton occurrence in lotic ecosystems

“…Acta Limnologica Brasiliensia, 2024, vol. 36, e9 The environmental conditions favor the development of algae belonging to the class Cyanophyceae are a result of the watershed of the Cascavel River transiting mainly between urban and agricultural areas, with the headwaters being located within the city and the surrounding area of the city used for soybean and corn monoculture (Guicho et al, 2021). This landscape results in a series of anthropic impacts on aquatic ecosystems, such as deposition of effluents without adequate treatment, reduction of riparian vegetation, and alteration of limnological conditions, factors that reflect directly on the phytoplankton metacommunity (Yaqoob et al, 2023).…”