Offshore wind energy can be considered one of the renewable energy sources with high force potential installed in marine areas. Consequently, the best wind farm layouts identified for constructing combined offshore renewable energy farms are crucial. To this aim, offshore wind potential analysis is essential to highlight the best offshore wind layouts for farm installation and development. Furthermore, the offshore wind farm layouts must be designed and developed based on the offshore wind accurate assessment to identify previously untapped marine regions. In this case, the wind speed distribution and correlation, wind direction, gust speed and gust direction for three sites have been analyzed, and then two offshore wind farm layout scenarios have been designed and analyzed based on two offshore wind turbine types in the Northwest Persian Gulf. In this case, offshore wind farm layouts software and tools have been reviewed as ubiquitous software tools. The results show Beacon M28 and Sea Island buoys location that the highest correlation between wind and gust speeds is between 87% and 98% in Beacon M28 and Sea Island Buoy, respectively. Considerably, the correlation between wind direction and wind speed is negligible. The Maximum likelihood algorithm, the WAsP algorithm, and the Least Squares algorithm have been used to analyze the wind energy potential in offshore buoy locations of the Northwest Persian Gulf. In addition, the wind energy generation potential has been evaluated in different case studies. For example, the Umm Al-Maradim buoy area has excellent potential for offshore wind energy generation based on the Maximum likelihood algorithm, WAsP algorithm, and Least Squares algorithm.

Offshore wind farm layouts designer software's / Majidi Nezhad, M.; Neshat, M.; Azaza, M.; Avelin, A.; Piras, G.; Astiaso Garcia, D.. - In: E-PRIME, ADVANCES IN ELECTRICAL ENGINEERING, ELECTRONICS AND ENERGY. - ISSN 2772-6711. - 4:(2023), pp. 1-13. [10.1016/j.prime.2023.100169]

Offshore wind farm layouts designer software's

Majidi Nezhad M.
;
Piras G.;Astiaso Garcia D.
2023

Abstract

Offshore wind energy can be considered one of the renewable energy sources with high force potential installed in marine areas. Consequently, the best wind farm layouts identified for constructing combined offshore renewable energy farms are crucial. To this aim, offshore wind potential analysis is essential to highlight the best offshore wind layouts for farm installation and development. Furthermore, the offshore wind farm layouts must be designed and developed based on the offshore wind accurate assessment to identify previously untapped marine regions. In this case, the wind speed distribution and correlation, wind direction, gust speed and gust direction for three sites have been analyzed, and then two offshore wind farm layout scenarios have been designed and analyzed based on two offshore wind turbine types in the Northwest Persian Gulf. In this case, offshore wind farm layouts software and tools have been reviewed as ubiquitous software tools. The results show Beacon M28 and Sea Island buoys location that the highest correlation between wind and gust speeds is between 87% and 98% in Beacon M28 and Sea Island Buoy, respectively. Considerably, the correlation between wind direction and wind speed is negligible. The Maximum likelihood algorithm, the WAsP algorithm, and the Least Squares algorithm have been used to analyze the wind energy potential in offshore buoy locations of the Northwest Persian Gulf. In addition, the wind energy generation potential has been evaluated in different case studies. For example, the Umm Al-Maradim buoy area has excellent potential for offshore wind energy generation based on the Maximum likelihood algorithm, WAsP algorithm, and Least Squares algorithm.
2023
layouts designer software's; offshore wind farm layouts; Persian gulf; wind energy
01 Pubblicazione su rivista::01a Articolo in rivista
Offshore wind farm layouts designer software's / Majidi Nezhad, M.; Neshat, M.; Azaza, M.; Avelin, A.; Piras, G.; Astiaso Garcia, D.. - In: E-PRIME, ADVANCES IN ELECTRICAL ENGINEERING, ELECTRONICS AND ENERGY. - ISSN 2772-6711. - 4:(2023), pp. 1-13. [10.1016/j.prime.2023.100169]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1681155
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