Substantiation of the regression equation during experimental studies of the duct of a wind power plant for farms
DOI:
https://doi.org/10.51452/kazatu.2024.4(123).1794Keywords:
engineering research; wind power plants; wind turbine; power; wind speed.Abstract
Background and Aim. Improving the efficiency of energy supply to Kazakhstan's industries is an important task, several documents have been adopted for its implementation, in particular, much attention is paid to non-traditional energy sources. Wind power plants have great potential for our territory, as a result of the analysis of methods to increase their efficiency, a possible direction of improvement has been established -the development of an air duct shape, this allows increasing the air flow rate. And as a result, the generation of electric energy by 2 or more times. The purpose of the study is to increase the efficiency of a wind power plant in farm conditions by improving its air duct. The aim of the study is to increase the efficiency of generating electric energy in a wind power plant for farms by reducing dependence on wind speed and determining the most appropriate technical parameters of the installation.
Materials and methods. Modern materials and equipment that have been verified in certified organizations and have their own certificates of conformity were used to conduct experimental studies. The research methods correspond to modern approaches to solving scientific problems: based on the analysis of the state of the issue and the classification of wind power plants, it was concluded that it is necessary to improve the duct as the most optimal constructive solution.
Results. To increase the efficiency of generating electric energy in a wind power plant, a device is proposed due to which the dependence on wind speed is reduced.
Conclusion. As a result of the conducted experimental studies, a regression equation was obtained that adequately describes the process of duct operation, which has been tested for the significance of coefficients, and optimal values of factors were obtained.