Offshore Wind Energy Prospects in the Republic of the Union of Myanmar

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 35-46
Author(s):  
Galina V. Deryugina ◽  
◽  
Evgeniy V. Ignatiev ◽  
Myat Tun Htet ◽  
Mikhail G. Tyagunov ◽  
...  
Keyword(s):  
Wind Energy ◽  
Wind Farm ◽  
Electric Energy ◽  
Wind Farms ◽  
Offshore Wind ◽  
Andaman Sea ◽  
Offshore Wind Energy ◽  
Energy Potential ◽  
Utilization Factor ◽  
Wind Energy Potential

Nowadays, one of pressing problems in Myanmar is shortage of electric energy, which makes approximately 10% of all electric energy consumed in the country. This shortage can be partially decreased by constructing large-capacity grid-connected wind farms. The last four years have seen a general decline in the growth rates of commissioned wind farm capacities around the world; nonetheless, certain wind energy industry sectors, primarily offshore wind energy, demonstrate a steady growth. In recent years, the market of Asian countries, in particular, that of China, is one of the most rapidly growing offshore wind energy markets. An updated theoretical wind energy potential of Myanmar is given. It is shown that the highest wind intensity is observed on the western and southern coasts of Myanmar, which make approximately 8% of the country’s total area. The theoretical wind energy potential of the Andaman Sea water area near the west coast of Myanmar at heights equal to 10 and 100 m has been evaluated for the first time; eight promising sites for constructing offshore wind farms have been determined, and a model for analyzing efficient wind farms has been selected. A procedure has been developed, using which the optimal composition of a complex of several wind farms with the total capacity equal to 47.6 MW has been found. These wind farms are located at significant distances from each other in Andaman Sea areas, which are characterized by an essentially non-uniform distribution in time of wind intensities in them. Owing to this feature, it is possible to increase the energy generation by 8% and achieve a higher wind farm capacity utilization factor.

scholarly journals Wind Energy Implementation to Mitigate Wildfire Risk and Preemptive Blackouts

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2421
Author(s):  
Francisco Haces-Fernandez
Keyword(s):  
At Risk ◽  
Wind Energy ◽  
Transmission Lines ◽  
Wind Farm ◽  
Wind Farms ◽  
Offshore Wind ◽  
Energy Potential ◽  
High Power Output ◽  
Wind Energy Potential ◽  
Fire Threat

Damages caused by wildfires in California due to transmission line failures have increased significantly in recent years. Curtailment of electric service in areas under fire threat has been implemented to avoid these wildfires. Results from this research indicated that 24% of California’s cities are at risk of wildfire, while 52% are at risk of blackout. These blackouts have resulted in significant financial losses and risk to life and health. Undergrounding current transmission lines has been proposed as a long-term solution. However, undergrounding lines would take decades to complete and increase average monthly electric bills from $80 to $260. This research investigated shortening the length of the electricity supply chain, supplying affected communities with onshore and offshore wind energy. Results showed good wind energy potential in locations near affected cities. Distance analyses revealed that more than two hundred cities (population 5.5 million) can be served by existing wind farms located at less than 50 km. Future offshore wind turbines could generate high power output (capacity factor >50% for significant periods). An analysis of diverse locations along California’s coast indicated that just one offshore wind farm could serve more than a hundred cities with cumulative population larger than one million.

scholarly journals PROBABILISTIC ASSESSMENT OF OFFSHORE WIND ENERGY POTENTIAL ALONG THE SPANISH COAST FOR 10-MW WIND TURBINES

10.6036/9957 ◽  
2021 ◽  
Vol 96 (3) ◽  
pp. 290-295
Author(s):  
JUAN JOSE CARTELLE BARROS ◽  
MANUEL LARA COIRA ◽  
MARIA DEL PILAR DE LA CRUZ LOPEZ ◽  
ALFREDO DEL CAÑO GOCHI
Keyword(s):  
Wind Energy ◽  
Probability Distributions ◽  
Wind Farms ◽  
High Energy ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Energy Potential ◽  
Spanish Coast ◽  
Yearly Average ◽  
Wind Energy Potential

Wind energy is among the renewables that have grown the fastest in recent times. Since it can be considered as a notably clean and sustainable alternative, this trend is likely to continue in the years to come. In particular, offshore wind energy has received an increasing amount of attention for two main reasons: i) its high energy potential and ii) the difficulty certain countries experience in finding suitable terrain for new onshore wind farms. For this reason, the Spanish Coast is seen as a promising area in terms of its offshore wind energy potential. The first step in planning offshore wind farms is to carry out a thorough characterisation of the wind resource. For the first time, this paper addresses how the Spanish Coast potential- both the Atlantic and the Mediterranean- can be assessed through seven probability distributions (the Weibull, Rayleigh, Nakagami, Gamma, Normal, Lognormal and Inverse Gaussian). These distributions are then compared in terms of six different metrics. The results show that the Weibull, Rayleigh and Nakagami are usually the best options. A 10-MW wind turbine was used to estimate the yearly average production. The Galician coast obtained the highest-performing results, although certain Mediterranean areas also achieved acceptable values. Keywords: Offshore wind energy; Sustainable energy systems; Spanish Coast; Wind speed; Probability distribution; 10-MW turbine

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.

Assessment of wind energy potential and characteristics in Qatar for clean electricity generation

2021 ◽  
pp. 0309524X2110438
Author(s):  
Carlos Méndez ◽  
Yusuf Bicer
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
Power Density ◽  
Wind Farm ◽  
Wind Farms ◽  
Wind Rose ◽  
Energy Potential ◽  
Wind Power Density ◽  
Wind Speeds ◽  
Wind Energy Potential

The present study analyzes the wind energy potential of Qatar, by generating a wind atlas and a Wind Power Density map for the entire country based on ERA-5 data with over 41 years of measurements. Moreover, the wind speeds’ frequency and direction are analyzed using wind recurrence, Weibull, and wind rose plots. Furthermore, the best location to install a wind farm is selected. The results indicate that, at 100 m height, the mean wind speed fluctuates between 5.6054 and 6.5257 m/s. Similarly, the Wind Power Density results reflect values between 149.46 and 335.06 W/m2. Furthermore, a wind farm located in the selected location can generate about 59.7437, 90.4414, and 113.5075 GWh/y electricity by employing Gamesa G97/2000, GE Energy 2.75-120, and Senvion 3.4M140 wind turbines, respectively. Also, these wind farms can save approximately 22,110.80, 17,617.63, and 11,637.84 tons of CO2 emissions annually.

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.

scholarly journals Offshore wind energy potential for Bahrain via multi-criteria evaluation

2020 ◽  
pp. 0309524X2092539
Author(s):  
Mohamed Elgabiri ◽  
Diane Palmer ◽  
Hanan Al Buflasa ◽  
Murray Thomson
Keyword(s):  
Wind Energy ◽  
Geographical Information Systems ◽  
Wind Farm ◽  
Electricity Consumption ◽  
Pairwise Comparison ◽  
Wind Farms ◽  
Offshore Wind ◽  
Geographical Information ◽  
Energy Yield ◽  
Energy Potential

Current global commitments to reduce the emissions of greenhouse gases encourage national targets for renewable generation. Due to its small land mass, offshore wind could help Bahrain to fulfil its obligations. However, no scoping study has been carried out yet. The methodology presented here addresses this research need. It employs analytical hierarchy process and pairwise comparison methods in a geographical information systems environment. Publicly available land use, infrastructure and transport data are used to exclude areas unsuitable for development due to physical and safety constraints. Meteorological and oceanic opportunities are ranked and then competing uses are analyzed to deliver optimal sites for wind farms. The potential annual wind energy yield is calculated by dividing the sum of optimal areas by a suitable turbine footprint to deliver maximum turbine number. In total, 10 favourable wind farm areas were identified in Bahrain’s territorial waters, representing about 4% of the total maritime area, and capable of supplying 2.68 TWh/year of wind energy or almost 10% of the Kingdom’s annual electricity consumption. Detailed maps of potential sites for offshore wind construction are provided in the article, giving an initial plan for installation in these locations.

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