Modelling of Wind Speed Data using Weibull Distribution Function in Dewas

Arun Rathore; Anupam Kumar; Satyam Patel; Poonam Khatakar; N. P. Patidar

doi:10.1109/IPRECON55716.2022.10059591

Modelling of Wind Speed Data using Weibull Distribution Function in Dewas

Arun Rathore
, Anupam Kumar
, Satyam Patel
, Poonam Khatakar
, N. P. Patidar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

An efficient and clean way to produce electricity is through the wind turbines. In-depth wind profile study and accurate wind energy forecasting are necessary for the enlargement of wind power applications. This work studies the wind speed probability distribution in order to evaluate the two Weibull parameters (size and shape), which are often utilised for modelling and providing a precise and effective estimation of wind resource and power. The shape and scale parameters are computed using daily/mean wind speed measurements of Dewas, Madhya Pradesh, from 2010 to 2020. The meteorological data of wind speed for the considered side has been taken from data access viewer. The current research is done for two hub heights 50 and 70 meters. According to the analysis, for the hub heights taken into consideration, the most likely wind speeds are 11.19 m/s and 8.43 m/s, respectively, while the wind speeds for maximum energy are 21.83 m/s and 20.62 m/s.

Original language	English
Title of host publication	2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665491754
DOIs	https://doi.org/10.1109/IPRECON55716.2022.10059591
Publication status	Published - 2022
Event	3rd IEEE International Power and Renewable Energy Conference, IPRECON 2022 - Kollam, India Duration: 16-12-2022 → 18-12-2022

Publication series

Name	2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022

Conference

Conference	3rd IEEE International Power and Renewable Energy Conference, IPRECON 2022
Country/Territory	India
City	Kollam
Period	16-12-22 → 18-12-22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/IPRECON55716.2022.10059591

Cite this

Rathore, A., Kumar, A., Patel, S., Khatakar, P., & Patidar, N. P. (2022). Modelling of Wind Speed Data using Weibull Distribution Function in Dewas. In 2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022 (2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPRECON55716.2022.10059591

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title = "Modelling of Wind Speed Data using Weibull Distribution Function in Dewas",

abstract = "An efficient and clean way to produce electricity is through the wind turbines. In-depth wind profile study and accurate wind energy forecasting are necessary for the enlargement of wind power applications. This work studies the wind speed probability distribution in order to evaluate the two Weibull parameters (size and shape), which are often utilised for modelling and providing a precise and effective estimation of wind resource and power. The shape and scale parameters are computed using daily/mean wind speed measurements of Dewas, Madhya Pradesh, from 2010 to 2020. The meteorological data of wind speed for the considered side has been taken from data access viewer. The current research is done for two hub heights 50 and 70 meters. According to the analysis, for the hub heights taken into consideration, the most likely wind speeds are 11.19 m/s and 8.43 m/s, respectively, while the wind speeds for maximum energy are 21.83 m/s and 20.62 m/s.",

author = "Arun Rathore and Anupam Kumar and Satyam Patel and Poonam Khatakar and Patidar, \{N. P.\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 3rd IEEE International Power and Renewable Energy Conference, IPRECON 2022 ; Conference date: 16-12-2022 Through 18-12-2022",

year = "2022",

doi = "10.1109/IPRECON55716.2022.10059591",

language = "English",

series = "2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Rathore, A, Kumar, A, Patel, S, Khatakar, P & Patidar, NP 2022, Modelling of Wind Speed Data using Weibull Distribution Function in Dewas. in 2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022. 2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022, Institute of Electrical and Electronics Engineers Inc., 3rd IEEE International Power and Renewable Energy Conference, IPRECON 2022, Kollam, India, 16-12-22. https://doi.org/10.1109/IPRECON55716.2022.10059591

Modelling of Wind Speed Data using Weibull Distribution Function in Dewas. / Rathore, Arun; Kumar, Anupam; Patel, Satyam et al.
2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Modelling of Wind Speed Data using Weibull Distribution Function in Dewas

AU - Rathore, Arun

AU - Kumar, Anupam

AU - Patel, Satyam

AU - Khatakar, Poonam

AU - Patidar, N. P.

PY - 2022

Y1 - 2022

N2 - An efficient and clean way to produce electricity is through the wind turbines. In-depth wind profile study and accurate wind energy forecasting are necessary for the enlargement of wind power applications. This work studies the wind speed probability distribution in order to evaluate the two Weibull parameters (size and shape), which are often utilised for modelling and providing a precise and effective estimation of wind resource and power. The shape and scale parameters are computed using daily/mean wind speed measurements of Dewas, Madhya Pradesh, from 2010 to 2020. The meteorological data of wind speed for the considered side has been taken from data access viewer. The current research is done for two hub heights 50 and 70 meters. According to the analysis, for the hub heights taken into consideration, the most likely wind speeds are 11.19 m/s and 8.43 m/s, respectively, while the wind speeds for maximum energy are 21.83 m/s and 20.62 m/s.

AB - An efficient and clean way to produce electricity is through the wind turbines. In-depth wind profile study and accurate wind energy forecasting are necessary for the enlargement of wind power applications. This work studies the wind speed probability distribution in order to evaluate the two Weibull parameters (size and shape), which are often utilised for modelling and providing a precise and effective estimation of wind resource and power. The shape and scale parameters are computed using daily/mean wind speed measurements of Dewas, Madhya Pradesh, from 2010 to 2020. The meteorological data of wind speed for the considered side has been taken from data access viewer. The current research is done for two hub heights 50 and 70 meters. According to the analysis, for the hub heights taken into consideration, the most likely wind speeds are 11.19 m/s and 8.43 m/s, respectively, while the wind speeds for maximum energy are 21.83 m/s and 20.62 m/s.

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U2 - 10.1109/IPRECON55716.2022.10059591

DO - 10.1109/IPRECON55716.2022.10059591

M3 - Conference contribution

AN - SCOPUS:85150680886

T3 - 2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022

BT - 2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Power and Renewable Energy Conference, IPRECON 2022

Y2 - 16 December 2022 through 18 December 2022

ER -

Rathore A, Kumar A, Patel S, Khatakar P, Patidar NP. Modelling of Wind Speed Data using Weibull Distribution Function in Dewas. In 2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE International Power and Renewable Energy Conference, IPRECON 2022). doi: 10.1109/IPRECON55716.2022.10059591

Modelling of Wind Speed Data using Weibull Distribution Function in Dewas

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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