Wind speed modeling based on measurement data to predict future wind speed with modified Rayleigh model

Suwarno, Suwarno; Rohana, Rohana

doi:10.11591/ijpeds.v12.i3.pp1823-1831

Cited by 3 publications

(2 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wind speed characteristics in Medan are assessed from the amount of potential wind energy generally, these characteristics use Pdf and other functions. Pdf has been studied and applied in all regions of the world, but selecting Pdf is very important in analyzing wind energy because wind energy is formulated as an explicit function of several parameters of wind speed distribution (Suwarno and Rohana, 2021).…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Analysis of Wind Speed with the Weibull and Rayleigh Distribution Models for Energy Potential Using Three Models

Zambak

Cahyadi

Helmi

et al. 2023

IJEEP

View full text Add to dashboard Cite

Medan has a tropical climate and has the potential to support additional renewable energy, one of which is wind energy. Analysis of wind speed in Medan in particular has not been conducted to determine the potential for renewable energy. Research on wind speed in Medan, which ranges from 3.5m/s to 7.5m/s, has been carried out, but its potential has not been analyzed and evaluated. This study was conducted to analyze the shape factor and scale for wind speed using the Weibull and Rayleigh distribution, and three evaluation models were proposed, namely the correlation coefficient (R2), Chi-Square (ꭓ2), and Root mean square error (RMSE). Wind speed data that is used to analyze and evaluate obtained from the Meteorology, Climatology, and Geophysics Agency for a period of three years, 2017 to 2019 in Medan. The probability density distribution function (Pdf) is described based on the shape (k) and scale (c) parameters obtained from the above data analysis. These two parameters are very important to be observed related to the potential of electrical energy produced in a place or area. The analysis result shows that Weibull is better than Rayleigh distribution based on Pdf. Meanwhile statistical analysis, Weibull distribution is better than Rayleigh distribution based on R2. But on the other hand, the Rayleigh distribution is better than the Weibull distribution based on Chi-Square and RMSE. In addition to the analysis and evaluation, the potential for wind energy to be obtained is around 79.5 Watt/m2.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluation and Analysis of Wind Speed with the Weibull and Rayleigh Distribution Models for Energy Potential Using Three Models

Zambak

Cahyadi

Helmi

et al. 2023

IJEEP

View full text Add to dashboard Cite

show abstract

“…So, a careful study is required to install a wind power conversion system. The wind estimation and the wind power evaluation has been carried out in many countries worldwide [8]- [15]. Bamba et al [14] analysed the performance of a 30 MW wind power plant in Nouakchott city, Mauritania, based on different parameters as well as the meteorological data analysis to give a good assessment of the available wind potential.…”

Section: Introductionmentioning

confidence: 99%

Wind characteristics analysis and application of ontrol strategy for wind system based on direct power control

Bedoud

Bahi

Merabet

2022

IJPEDS

View full text Add to dashboard Cite

This study analyses yearly and seasonal wind speed data recorded over eight years using Weibull distribution function and the direct power control application of a wind chain. The wind potential evaluation was carried out based on empirical model. Results show that, during the warm months the wind speed is uniform, constant and stable. In addition, it has been found that the use of a control strategy was necessary for extracting the optimum power. For this purpose, the second part of this work presents a direct power control (DPC) technique in order to adjust the produced active and reactive powers. The application and performance evaluation of the proposed control system implemented within the d-q reference framework has been exposed and discussed. The system modeling and the control diagram are built under MATLAB software. According to simulation results, the forward power control provides almost sinusoidal input waveform current, constant switching frequency operation, unity power factor regulation and also provides powers decoupling. As shown by simulation results, the suggested control method is efficient.

show abstract

A series of small-scale atmospheric datasets observed in south of Java, Pangandaraan Bay, Indonesia

Purba,

Faizal,

Azidane

et al. 2023

Data in Brief

View full text Add to dashboard Cite

Wind speed modeling based on measurement data to predict future wind speed with modified Rayleigh model

Cited by 3 publications

References 33 publications

Evaluation and Analysis of Wind Speed with the Weibull and Rayleigh Distribution Models for Energy Potential Using Three Models

Evaluation and Analysis of Wind Speed with the Weibull and Rayleigh Distribution Models for Energy Potential Using Three Models

Wind characteristics analysis and application of ontrol strategy for wind system based on direct power control

A series of small-scale atmospheric datasets observed in south of Java, Pangandaraan Bay, Indonesia

Contact Info

Product

Resources

About