Offshore Wind Energy Estimation in the Bay of Bengal with Satellite Wind Measurement

Navila Rahman Nadi, Ferhat Bingöl, Merete Badger*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The objective of this paper is to obtain appropriate offshore location in the Bay of Bengal, Bangladesh for further development of wind energy. Through analyzing the previous published works, no offshore wind energy estimation has been found related to the Bay of Bengal. Therefore, this study can be claimed as the first footstep towards offshore wind energy analysis for this region. Generally, it is difficult to find offshore wind data relative to the wind turbine hub heights, thus a starting point is necessary to identify the possible wind power density of the region. In such scenario, Synthetic Aperture radars (SAR) have proven useful in previous studies. In this study, SAR based dataset- ENVISAT ASAR has been used for Wind Atlas generation of the Bay of Bengal. Furthermore, a comparative study has been performed with Global Wind Atlas (GWA) to determine a potential offshore wind farm production in a reasonable location at the bay. The annual energy production of that offshore windfarm has been analyzed by combining SAR, GWA and ASCAT datasets. Through ASAR based Wind Atlas and GWA comparison, some differences have been found where there are less samples from the ASAR datasets. Thus, Weibull statistical analysis are performed to have a better Weibull fitting and accurate estimation of Annual Energy production (AEP). The study summarizes that, satellite datasets can be a very useful method to detect potential zone if compared with any long time statistical result and bathymetry data together.
Original languageEnglish
Title of host publication1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)
Number of pages8
PublisherIEEE
Publication date2019
ISBN (Print)978-1-7281-3446-8
ISBN (Electronic)978-1-7281-3445-1
DOIs
Publication statusPublished - 2019
Event1st International Conference on Advances in Science, Engineering and Robotics Technology - Dhaka, Bangladesh
Duration: 3 May 20195 May 2019
https://www.aconf.org/conf_172064.html

Conference

Conference1st International Conference on Advances in Science, Engineering and Robotics Technology
CountryBangladesh
CityDhaka
Period03/05/201905/05/2019
Internet address

Keywords

  • wind atlas
  • satellite wind measurements
  • Weibull distribution
  • ASCAT
  • ASAR
  • offshore

Cite this

Nadi, N. R., Bingöl, F., & Badger, M. (2019). Offshore Wind Energy Estimation in the Bay of Bengal with Satellite Wind Measurement. In 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) IEEE. https://doi.org/10.1109/icasert.2019.8934915
Nadi, Navila Rahman ; Bingöl, Ferhat ; Badger, Merete. / Offshore Wind Energy Estimation in the Bay of Bengal with Satellite Wind Measurement. 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). IEEE, 2019.
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abstract = "The objective of this paper is to obtain appropriate offshore location in the Bay of Bengal, Bangladesh for further development of wind energy. Through analyzing the previous published works, no offshore wind energy estimation has been found related to the Bay of Bengal. Therefore, this study can be claimed as the first footstep towards offshore wind energy analysis for this region. Generally, it is difficult to find offshore wind data relative to the wind turbine hub heights, thus a starting point is necessary to identify the possible wind power density of the region. In such scenario, Synthetic Aperture radars (SAR) have proven useful in previous studies. In this study, SAR based dataset- ENVISAT ASAR has been used for Wind Atlas generation of the Bay of Bengal. Furthermore, a comparative study has been performed with Global Wind Atlas (GWA) to determine a potential offshore wind farm production in a reasonable location at the bay. The annual energy production of that offshore windfarm has been analyzed by combining SAR, GWA and ASCAT datasets. Through ASAR based Wind Atlas and GWA comparison, some differences have been found where there are less samples from the ASAR datasets. Thus, Weibull statistical analysis are performed to have a better Weibull fitting and accurate estimation of Annual Energy production (AEP). The study summarizes that, satellite datasets can be a very useful method to detect potential zone if compared with any long time statistical result and bathymetry data together.",
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Nadi, NR, Bingöl, F & Badger, M 2019, Offshore Wind Energy Estimation in the Bay of Bengal with Satellite Wind Measurement. in 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). IEEE, 1st International Conference on Advances in Science, Engineering and Robotics Technology, Dhaka, Bangladesh, 03/05/2019. https://doi.org/10.1109/icasert.2019.8934915

Offshore Wind Energy Estimation in the Bay of Bengal with Satellite Wind Measurement. / Nadi, Navila Rahman; Bingöl, Ferhat; Badger, Merete.

1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). IEEE, 2019.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Offshore Wind Energy Estimation in the Bay of Bengal with Satellite Wind Measurement

AU - Nadi, Navila Rahman

AU - Bingöl, Ferhat

AU - Badger, Merete

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N2 - The objective of this paper is to obtain appropriate offshore location in the Bay of Bengal, Bangladesh for further development of wind energy. Through analyzing the previous published works, no offshore wind energy estimation has been found related to the Bay of Bengal. Therefore, this study can be claimed as the first footstep towards offshore wind energy analysis for this region. Generally, it is difficult to find offshore wind data relative to the wind turbine hub heights, thus a starting point is necessary to identify the possible wind power density of the region. In such scenario, Synthetic Aperture radars (SAR) have proven useful in previous studies. In this study, SAR based dataset- ENVISAT ASAR has been used for Wind Atlas generation of the Bay of Bengal. Furthermore, a comparative study has been performed with Global Wind Atlas (GWA) to determine a potential offshore wind farm production in a reasonable location at the bay. The annual energy production of that offshore windfarm has been analyzed by combining SAR, GWA and ASCAT datasets. Through ASAR based Wind Atlas and GWA comparison, some differences have been found where there are less samples from the ASAR datasets. Thus, Weibull statistical analysis are performed to have a better Weibull fitting and accurate estimation of Annual Energy production (AEP). The study summarizes that, satellite datasets can be a very useful method to detect potential zone if compared with any long time statistical result and bathymetry data together.

AB - The objective of this paper is to obtain appropriate offshore location in the Bay of Bengal, Bangladesh for further development of wind energy. Through analyzing the previous published works, no offshore wind energy estimation has been found related to the Bay of Bengal. Therefore, this study can be claimed as the first footstep towards offshore wind energy analysis for this region. Generally, it is difficult to find offshore wind data relative to the wind turbine hub heights, thus a starting point is necessary to identify the possible wind power density of the region. In such scenario, Synthetic Aperture radars (SAR) have proven useful in previous studies. In this study, SAR based dataset- ENVISAT ASAR has been used for Wind Atlas generation of the Bay of Bengal. Furthermore, a comparative study has been performed with Global Wind Atlas (GWA) to determine a potential offshore wind farm production in a reasonable location at the bay. The annual energy production of that offshore windfarm has been analyzed by combining SAR, GWA and ASCAT datasets. Through ASAR based Wind Atlas and GWA comparison, some differences have been found where there are less samples from the ASAR datasets. Thus, Weibull statistical analysis are performed to have a better Weibull fitting and accurate estimation of Annual Energy production (AEP). The study summarizes that, satellite datasets can be a very useful method to detect potential zone if compared with any long time statistical result and bathymetry data together.

KW - wind atlas

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KW - Weibull distribution

KW - ASCAT

KW - ASAR

KW - offshore

U2 - 10.1109/icasert.2019.8934915

DO - 10.1109/icasert.2019.8934915

M3 - Article in proceedings

SN - 978-1-7281-3446-8

BT - 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)

PB - IEEE

ER -

Nadi NR, Bingöl F, Badger M. Offshore Wind Energy Estimation in the Bay of Bengal with Satellite Wind Measurement. In 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). IEEE. 2019 https://doi.org/10.1109/icasert.2019.8934915