Reliability Estimation of Parameters of Helical Wind Turbine with Vertical Axis

Abstract

Due to the prolonged use of wind turbines they must be characterized by high reliability. This can be achieved through a rigorous design, appropriate simulation and testing, and proper construction. The reliability prediction and analysis of these systems will lead to identifying the critical components, increasing the operating time, minimizing failure rate, and minimizing maintenance costs. To estimate the produced energy by the wind turbine, an evaluation approach based on the Monte Carlo simulation model is developed which enables us to estimate the probability of minimum and maximum parameters. In our simulation process we used triangular distributions. The analysis of simulation results has been focused on the interpretation of the relative frequency histograms and cumulative distribution curve (ogive diagram), which indicates the probability of obtaining the daily or annual energy output depending on wind speed. The experimental researches consist in estimation of the reliability and unreliability functions and hazard rate of the helical vertical axis wind turbine designed and patented to climatic conditions for Romanian regions. Also, the variation of power produced for different wind speeds, the Weibull distribution of wind probability, and the power generated were determined. The analysis of experimental results indicates that this type of wind turbine is efficient at low wind speed.

Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

“…A repair policy for a series wind turbine system was studied in [15,16,21]. For more references on system-level maintenance optimization approach, the readers can refer to [20,22,27,29,31,32,36,38,53,55,56,59,62,71,73,78,80,82,99,178,113,118,121,131,132,148,150,158,161,162,163,170,182,185,190,192,197,208,218,220,221,225].…”

Reliability estimation of the milling machines teeth obtained by welding deposition process

“…For analysing reliability, first we identified the statistical model most adequate for such an analysis [11][12][13][14][15]. The experimental data were validated using Anderson-Darling adequacy test in order to determine whether a sample comes from a population with a specific distribution.…”

A Computational and Experimental Study of a Small-Scale Flat-Shaped Vertical Axis Wind Turbine

“…The low efficiency of Savonius vertical axis wind turbine leads to the experiment developed by Andre Alaimo et al to identify and study factors affecting the performance such as the number of blades, interference of shaft and the shape of the rotor. The study concludes that a computational method can be a good alternative to analyze and evaluate the turbine blade design compared to an experimental method because it is less expensive and less time consuming [5]. This study further explores the development of Vertical Axis Wind Turbine (VAWT) blades for low wind speed environments using computational fluid dynamics simulation, which is later validated by an experimental test.…”