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Reliability Estimation of Parameters of Helical Wind Turbine with Vertical Axis.

Dumitrascu AE, Lepadatescu B, Dumitrascu DI, Nedelcu A, Ciobanu DV - ScientificWorldJournal (2015)

Bottom Line: 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.In our simulation process we used triangular distributions.

View Article: PubMed Central - PubMed

Affiliation: Department of Manufacturing Engineering, Transilvania University of Brasov, 29 Eroilor Street, 500036 Brasov, Romania.

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.

No MeSH data available.


Related in: MedlinePlus

Monte Carlo simulation of cumulative frequency distribution for daily energy output.
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC4488534&req=5

fig4: Monte Carlo simulation of cumulative frequency distribution for daily energy output.

Mentions: Cumulative distributions functions are usually presented graphically in the form of ogives, where we plot the cumulative frequencies at the class boundaries. The resulting points are connected by means of straight lines, as shown in Figures 2, 4, and 5.


Reliability Estimation of Parameters of Helical Wind Turbine with Vertical Axis.

Dumitrascu AE, Lepadatescu B, Dumitrascu DI, Nedelcu A, Ciobanu DV - ScientificWorldJournal (2015)

Monte Carlo simulation of cumulative frequency distribution for daily energy output.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4488534&req=5

fig4: Monte Carlo simulation of cumulative frequency distribution for daily energy output.
Mentions: Cumulative distributions functions are usually presented graphically in the form of ogives, where we plot the cumulative frequencies at the class boundaries. The resulting points are connected by means of straight lines, as shown in Figures 2, 4, and 5.

Bottom Line: 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.In our simulation process we used triangular distributions.

View Article: PubMed Central - PubMed

Affiliation: Department of Manufacturing Engineering, Transilvania University of Brasov, 29 Eroilor Street, 500036 Brasov, Romania.

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.

No MeSH data available.


Related in: MedlinePlus