The determination of offshore wind energy potential of Turkey by using novelty hybrid site selection method

2019 ◽  
Vol 36 ◽  
pp. 100562 ◽  
Author(s):  
Cem Emeksiz ◽  
Bahattin Demirci
Keyword(s):  
Wind Energy ◽  
Site Selection ◽  
Selection Method ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Energy Potential ◽  
Wind Energy Potential

scholarly journals Exploring the offshore wind energy potential of Turkey based on multi-criteria site selection

2019 ◽  
Vol 23 ◽  
pp. 33-46 ◽  
Author(s):  
Mehmet Argin ◽  
Volkan Yerci ◽  
Nuh Erdogan ◽  
Sadik Kucuksari ◽  
Umit Cali
Keyword(s):  
Wind Energy ◽  
Site Selection ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Energy Potential ◽  
Wind Energy Potential

scholarly journals Exploring the Grid Value of Offshore Wind Energy in Oregon

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4435
Author(s):  
Travis C. Douville ◽  
Dhruv Bhatnagar
Keyword(s):  
Wind Energy ◽  
Cost Model ◽  
Energy Resource ◽  
Energy Resources ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Renewable Energy Resources ◽  
Energy Potential ◽  
Resource Complementarity ◽  
Wind Energy Potential

The significant offshore wind energy potential of Oregon faces several challenges, including a power grid which was not developed for the purpose of transmitting energy from the ocean. The grid impacts of the energy resource are considered through the lenses of (i) resource complementarity with Variable Renewable Energy resources; (ii) correlations with load profiles from the four balancing authorities with territory in Oregon; and (iii) spatial value to regional and coastal grids as represented through a production cost model of the Western Interconnection. The capacity implications of the interactions between offshore wind and the historical east-to-west power flows of the region are discussed. The existing system is shown to accommodate more than two gigawatts of offshore wind interconnections with minimal curtailment. Through three gigawatts of interconnection, transmission flows indicate a reduction of coastal and statewide energy imports as well as minimal statewide energy exports.

scholarly journals Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean

2017 ◽  
Vol 208 ◽  
pp. 1232-1245 ◽  
Author(s):  
Alain Ulazia ◽  
Jon Sáenz ◽  
Gabriel Ibarra-Berastegui ◽  
Santos J. González-Rojí ◽  
Sheila Carreno-Madinabeitia
Keyword(s):  
Data Assimilation ◽  
Wind Energy ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Energy Potential ◽  
The West ◽  
Wind Energy Potential

Synergetic use of multiple scatterometers for offshore wind energy potential assessment

2020 ◽  
Vol 196 ◽  
pp. 106745 ◽  
Author(s):  
Surisetty V.V. Arun Kumar ◽  
Garlapati Nagababu ◽  
Rashmi Sharma ◽  
Raj Kumar
Keyword(s):  
Wind Energy ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Energy Potential ◽  
Wind Energy Potential

Investigation on offshore wind energy potential in Benin Republic

2019 ◽  
pp. 0309524X1987276 ◽  
Author(s):  
Maurel R Aza-Gnandji ◽  
François-Xavier Fifatin ◽  
Frédéric Dubas ◽  
Télesphore C Nounangnonhou ◽  
Christophe Espanet ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Wind Energy ◽  
Exclusive Economic Zone ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Energy Potential ◽  
Wind Potential ◽  
Wind Energy Potential ◽  
Economic Zone ◽  
Benin Republic

This article presents a study on offshore wind energy viability in Benin Republic. Weibull law has been used to model the spatial distribution of daily wind speed data in Benin Republic’s Exclusive Economic Zone. The spatial distribution of wind energy potential in Benin’s exclusive economic zone has been obtained at several heights by extrapolating Weibull parameters. Wind resource has then been categorized using National Renewable Energy Laboratory standards. Bathymetric data in the exclusive economic zone are used to determine areas showing good compromise between exploitable wind potential and turbine’s foundation. We have shown that Benin’s offshore resources can reach Class 7 at 100 m height, Class 6, respectively, at 100 and 80 m heights and finally Class 5 at 50 m height. We have also shown that locations close to the shore are the most suitable to offshore wind power generation in Benin’s exclusive economic zone.

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