Assessment of offshore wind potential in Morocco

2021 ◽  
Vol 17 (5) ◽  
pp. 423
Author(s):  
H. Laaouidi ◽  
Mourad Nachtane ◽  
Mostapha Tarfaoui ◽  
Mourad Trihi
Keyword(s):  
Offshore Wind ◽  
Wind Potential

scholarly journals Offshore Wind Energy Resource Assessment across the Territory of Oman: A Spatial-Temporal Data Analysis

2021 ◽  
Vol 13 (5) ◽  
pp. 2862
Author(s):  
Amer Al-Hinai ◽  
Yassine Charabi ◽  
Seyed H. Aghay Kaboli
Keyword(s):  
Data Analysis ◽  
Wind Energy ◽  
Wind Turbines ◽  
Energy Resource ◽  
Wind Farms ◽  
Offshore Wind ◽  
Wind Data ◽  
Offshore Wind Energy ◽  
Offshore Wind Turbines ◽  
Wind Potential

Despite the long shoreline of Oman, the wind energy industry is still confined to onshore due to the lack of knowledge about offshore wind potential. A spatial-temporal wind data analysis is performed in this research to find the locations in Oman’s territorial seas with the highest potential for offshore wind energy. Thus, wind data are statistically analyzed for assessing wind characteristics. Statistical analysis of wind data include the wind power density, and Weibull scale and shape factors. In addition, there is an estimation of the possible energy production and capacity factor by three commercial offshore wind turbines suitable for 80 up to a 110 m hub height. The findings show that offshore wind turbines can produce at least 1.34 times more energy than land-based and nearshore wind turbines. Additionally, offshore wind turbines generate more power in the Omani peak electricity demand during the summer. Thus, offshore wind turbines have great advantages over land-based wind turbines in Oman. Overall, this work provides guidance on the deployment and production of offshore wind energy in Oman. A thorough study using bankable wind data along with various logistical considerations would still be required to turn offshore wind potential into real wind farms in Oman.

Assessment of Offshore Wind potential in Morocco

2021 ◽  
Vol 17 (5) ◽  
pp. 1
Author(s):  
Mourad TRIHI ◽  
Mostapha TARFAOUI ◽  
Mourad NACHTANE ◽  
Houda LAAOUIDI
Keyword(s):  
Offshore Wind ◽  
Wind Potential

Wave and offshore wind potential for the island of Tenerife

2013 ◽  
Vol 76 ◽  
pp. 738-745 ◽  
Author(s):  
M. Veigas ◽  
G. Iglesias
Keyword(s):  
Offshore Wind ◽  
Wind 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.

Offshore wind potential entices GE back in

2010 ◽  
Vol 11 (2) ◽  
pp. 44-47
Author(s):  
David Hopwood
Keyword(s):  
Offshore Wind ◽  
Wind Potential

scholarly journals Greening offshore wind with the Smart Wind Chart evaluation tool

Web Ecology ◽  
2016 ◽  
Vol 16 (1) ◽  
pp. 73-80 ◽  
Author(s):  
Takvor Soukissian ◽  
Sofia Reizopoulou ◽  
Paraskevi Drakopoulou ◽  
Panagiotis Axaopoulos ◽  
Flora Karathanasi ◽  
...  
Keyword(s):  
Wind Farms ◽  
Clean Energy ◽  
Distribution Patterns ◽  
Offshore Wind ◽  
Evaluation Tool ◽  
Offshore Wind Farms ◽  
Theoretical Approaches ◽  
Wind Potential ◽  
The Mediterranean ◽  
Impact On Biodiversity

Abstract. The development of offshore wind farms (OWFs) and the establishment of marine protected areas (MPAs) comprise two main elements for the production of clean energy, and the simultaneous maintenance and protection of biodiversity in the Mediterranean and Black seas. Successful, efficient, and sustainable coupling of these two aspects presumes that the criteria for selecting suitable locations for the deployment of OWFs should not only include technical-engineering terms (e.g. high wind energy efficiency, bottom suitability, inland infrastructures) but also ecological–environmental considerations (e.g. the least possible impact on biodiversity, ecosystem functioning) and socio-economic aspects (e.g. effects on coastal and marine activities, development of marine spatial planning). In the context of the FP7 CoCoNet project, the integration between OWFs and MPAs is based on four main steps: (i) the identification of existing (networks of) MPAs focusing on the biodiversity distribution patterns and current legislation, (ii) the coupling of offshore wind potential within networks of MPAs, (iii) the evaluation of the knowledge gained up to date and the theoretical approaches at the two pilot sites of the Mediterranean and Black sea basins, and (iv) the development of the "Smart Wind Chart", a convenient and rational tool addressed to scientists and policy makers for the evaluation of maritime policy management schemes. The latter step comprises the core of this work.

Comparison of wind profile estimation methods for calculating offshore wind potential for the Northeast region of Brazil

2021 ◽  
Author(s):  
Luiz Felipe Rodrigues do Carmo ◽  
Ana Cristina Pinto de Almeida Palmeira ◽  
Carlos Felipe de Jesus Lauriano Antonio ◽  
Ronaldo Maia de Jesus Palmeira
Keyword(s):  
Wind Profile ◽  
Offshore Wind ◽  
Estimation Methods ◽  
Northeast Region ◽  
Wind Potential ◽  
Profile Estimation

Spatiotemporal wind energy potential estimation and analysis in Japan

2021 ◽  
Author(s):  
Taichi Matsuoka ◽  
Tetsushi Amano ◽  
Remi Delage ◽  
Toshihiko Nakata
Keyword(s):  
Wind Energy ◽  
Power Output ◽  
Weather Forecast ◽  
Offshore Wind ◽  
Energy Potential ◽  
Temporal Smoothing ◽  
Wind Potential ◽  
Efficient Integration ◽  
Sustainable Energy Systems ◽  
Wind Energy Potential

<p>For an efficient integration of wind and solar resources toward sustainable energy systems, it is crucial to consider their fluctuations in space and time. Current spatial wind potential estimations in Japan are limited to the annual average of wind speed. In this study, we evaluate the spatial and temporal evolution of both onshore and offshore wind energy potential in Japan based on 5 km mesh and 1-hour sampling weather forecast data. We then demonstrate the benefits of cross-border sharing on the power output stability and identify important sites having high average potential and low average correlation with other sites for the temporal smoothing of power output.</p>

scholarly journals Assessment of Offshore Wind Power Potential along the Brazilian Coast

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2557
Author(s):  
Sylvester Stallone Pereira de Azevedo ◽  
Amaro Olimpio Pereira Pereira Junior ◽  
Neilton Fidelis da Silva ◽  
Renato Samuel Barbosa de Araújo ◽  
Antonio Aldísio Carlos Carlos Júnior
Keyword(s):  
Average Power ◽  
Environmental Conservation ◽  
Offshore Wind ◽  
Brazilian Coast ◽  
Conservation Units ◽  
Analytic Hierarchy ◽  
Onshore Wind ◽  
Offshore Wind Power ◽  
Wind Potential ◽  
Hierarchy Process

Brazilian offshore potential exploration is still in its early stages, with no single offshore park in operation or being implemented. Unlike the already identified onshore wind potential—with over 14 GW installed in the form of onshore wind turbines—offshore wind potential research is absent and restricted to limited areas. In this context, this study aims to identify offshore wind potential throughout the Brazilian coast for electricity generation. The research method took into account the average annual wind velocity records as 100 m/s, as well as bathymetry and the distance from the coast baseline, to classify areas displaying the greatest potential, applying an analytic hierarchy process (AHP) to the geographic information system for the identification of potential offshore wind energy exploration sites. Environmental conservation units were considered exclusion areas. The installable capacity using aerogenerators was estimated at 3 TW, while an annual average power production of 14,800 TWh was calculated for the sum of the viable areas. These results demonstrate that the wind potential identified throughout the Brazilian coast provides the conditions for significant energy sector development. To this end, it is necessary to establish an ecological economic zoning of the areas displaying the greatest potential identified herein for the beginning of offshore exploration in Brazil.

Sign in / Sign up

Export Citation Format

Share Document