scholarly journals The Future of European Onshore Wind Energy Potential: Detailed Distribution and Simulation of Advanced Turbine Designs

2018 ◽  
Author(s):  
David Severin Ryberg ◽  
Dilara Gulcin Caglayan ◽  
Sabrina Schmitt ◽  
Jochen Linßen ◽  
Detlef Stolten ◽  
...  
Keyword(s):  
Wind Energy ◽  
Energy Potential ◽  
Onshore Wind ◽  
Wind Energy Generation ◽  
Wind Potential ◽  
Generation Cost ◽  
Wind Energy Potential ◽  
And Performance ◽  
Near Future ◽  
Far Future

Considering the need to reduce greenhouse gas emissions, onshore wind energy is certain to play a major role in future energy systems. This topic has received significant attention from the research community, producing many estimations of Europe's onshore wind potential for capacity and generation. Despite this focus, previous estimates have relied on distribution assumptions and simulation schemes that summarily under predict both the amount of available future wind capacity as well as its performance. Foremost in this regard is the common use of contemporary, or at least near-future, turbine designs which are not fitting for a far-future context. To fulfill this role, an improved, transparent, and fully reproducible work flow is presented for determining European onshore wind potential. Within a scenario of turbine cost and design in 2050, 13.5 TWof capacity is found to be available, allowing for 34.4 PWh of generation. By sorting the explicitly-placed potential generation locations by their expected generation cost, national relations between turbine cost and performance versus a desired capacity are exposed. In this way, it is shown that all countries possess some potential for onshore wind energy generation below 4 €ct kWh-1. and, furthermore, that it is unlikely for these costs to exceed 6 €ct kWh-1.

scholarly journals Potential for wind energy generation in Piracicaba, SP, Brazil

2014 ◽  
Vol 18 (5) ◽  
pp. 559-564 ◽  
Author(s):  
Vanessa de F. Grah ◽  
Isaac de M. Ponciano ◽  
Tarlei A. Botrel
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Energy Potential ◽  
College Of Agriculture ◽  
Average Wind Speed ◽  
Wind Energy Generation ◽  
Average Wind ◽  
Wind Potential ◽  
Wind Energy Potential ◽  
Two Parameters

Wind power has gained space in Brazil's energy matrix, being a clean source and inexhaustible. Therefore, it becomes important to characterize the wind potential of a given location, for future applications. The main objective of the present study was to estimate the wind energy potential in Piracicaba, SP, Brazil. The wind speed data were collected by an anemometer installed at the Meteorological Station Luiz de Queiroz College of Agriculture, Piracicaba-SP. The wind speed variability was represented by the Weibull frequency distribution, a probability density function of two parameters (k and c). The parameters k and c were used to correlate the Gamma function with the annual average wind speed, the variance and power mean density. A wind profile was made to evaluate the behavior of historical average speeds at higher altitudes measured by anemometer, to estimate the gain in power density. The values of k for all heights were close to 1 which corresponds to a wind regime highly variable, and c values were also low representing a low average speed of the location. The location was characterized as being unfavorable for the application of wind turbines for power generation.

Calculation of Weibull Distribution parameters at low wind speed and performance analysis

2021 ◽  
pp. 1-24
Author(s):  
Yusuf Alper Kaplan
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Weibull Distribution ◽  
Energy Potential ◽  
Average Wind Speed ◽  
Statistical Indicator ◽  
Low Wind Speed ◽  
Distribution Parameters ◽  
Wind Energy Potential ◽  
And Performance

In this study, the compatibility of the real wind energy potential to the estimated wind energy potential by Weibull Distribution Function (WDF) of a region with low average wind speed potential was examined. The main purpose of this study is to examine the performance of six different methods used to find the coefficients of the WDF and to determine the best performing method for selected region. In this study seven-year hourly wind speed data obtained from the general directorate of meteorology of this region was used. The root mean square error (RMSE) statistical indicator was used to compare the efficiency of all used methods. Another main purpose of this study is to observe the how the performance of the used methods changes over the years. The obtained results showed that the performances of the used methods showed slight changes over the years, but when evaluated in general, it was observed that all method showed acceptable performance. Based on the obtained results, when the seven-year data is evaluated in this selected region, it can be said that the MM method shows the best performance.

scholarly journals Wind Data Analysis and Wind Flow Simulation Over Large Areas

2014 ◽  
Vol 10 (1) ◽  
pp. 38-45
Author(s):  
Angel Terziev ◽  
Ivan Antonov ◽  
Rositsa Velichkova
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Wind Flow ◽  
Energy Potential ◽  
Wind Potential ◽  
Wind Energy Potential ◽  
The Impact

Abstract Increasing the share of renewable energy sources is one of the core policies of the European Union. This is because of the fact that this energy is essential in reducing the greenhouse gas emissions and securing energy supplies. Currently, the share of wind energy from all renewable energy sources is relatively low. The choice of location for a certain wind farm installation strongly depends on the wind potential. Therefore the accurate assessment of wind potential is extremely important. In the present paper an analysis is made on the impact of significant possible parameters on the determination of wind energy potential for relatively large areas. In the analysis the type of measurements (short- and long-term on-site measurements), the type of instrumentation and the terrain roughness factor are considered. The study on the impact of turbulence on the wind flow distribution over complex terrain is presented, and it is based on the real on-site data collected by the meteorological tall towers installed in the northern part of Bulgaria. By means of CFD based software a wind map is developed for relatively large areas. Different turbulent models in numerical calculations were tested and recommendations for the usage of the specific models in flows modeling over complex terrains are presented. The role of each parameter in wind map development is made. Different approaches for determination of wind energy potential based on the preliminary developed wind map are presented.

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.

Effects of global warming on wind energy potential

2015 ◽  
Vol 12 (4) ◽  
pp. 369-374 ◽  
Author(s):  
Afsin Gungor
Keyword(s):  
Global Warming ◽  
Wind Energy ◽  
Wind Power ◽  
Wind Farm ◽  
Wind Data ◽  
Energy Potential ◽  
Time Intervals ◽  
Wind Energy Generation ◽  
Wind Energy Potential ◽  
Yearly Data

A recent study conducted to determine the potential of wind power in Nigde which used 35 year wind data, has shown that global warming may also affect the potential of wind power negatively. The wind data were collected on 10 min time intervals at 10 m mast height. The missing data were 3.9%. When the results are closely examined it is observed that the potential of wind power has decreased dramatically throughout the years. The 35 yearly data has shown a decrease of wind power density from 48.14 W/m2 to 13.25 W/m2. These results are of extreme importance because of various reasons given below. The first problem we may see is that it is possible to observe an area which was once regarded as a highly suitable region for wind energy generation is now not as sustainable as it was assumed to be. Thus it may stand as a hidden but great risk for certain wind farm investments. Therefore, the calculation of wind power potential is a really serious matter to deal with. Moreover, if the loss of the wind power potential is observed consistently and continually as a result of global warming, the only reasonable solution to this problem may be the relocation of the whole power-plant.

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>

Assessment of Wind Energy Potential in Three Different Locations of Malaysia

2015 ◽  
Vol 785 ◽  
pp. 621-626
Author(s):  
R. Shamsipour ◽  
M. Fadaeenejad ◽  
M.A.M. Radzi
Keyword(s):  
Wind Speed ◽  
Energy Density ◽  
Wind Energy ◽  
Wind Power ◽  
Weibull Model ◽  
Energy Potential ◽  
Wind Speeds ◽  
Wind Potential ◽  
Mean Wind Speed ◽  
Wind Energy Potential

In this study, wind energy potential in three different stations in Malaysia in period of 5 years is analyzed. Base on Weibull distribution parameters, the mean wind speed, wind power density and wind energy density is estimated for each defined location. Although there are many works about wind potential in Malaysia, however a few of them have been provided a comprehensive study about wind power in different places in Malaysia. According to the findings, the annual mean wind speeds indicates that the highest wind speed variation is about 2 m/s and is belonged to the Subang station and the highest wind speed is 3.5 m/s in in Kudat. It is also found that the maximum wind power densities among these three sites are 22 W/m2, 24 W/m2 and 22 W/m2 in Kudat station in January, February and September respectively. The results of the study show that as the second parameter for Weibull model, the highest wind energy density has been 190 kWh/m2 per year in Kudat and the lowest one has been about 60 kWh/m2 in Kuching.

scholarly journals Application of GIS and Remote Sensing in Determining Trends in Wind Energy Potential and Its Uses for Designing Development Strategies in Ghana

2020 ◽  
Vol 3 (3) ◽  
pp. 1-10
Author(s):  
Nurideen Abdulai ◽  
Leslie Donkor ◽  
Dennis Asare
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Northern Ghana ◽  
Energy Potential ◽  
Weighted Interpolation ◽  
East Region ◽  
Wind Potential ◽  
Wind Energy Potential ◽  
Upper East Region ◽  
Mechanized Agriculture

This paper is purported to determine the wind energy potential of Ghana for 2010 and 2018 using GIS and RS technologies and how the result could be used to develop a country strategy that benefits the ordinary Ghanaian. In doing this, two different wind potential maps of Ghana were generated for 2010 and 2018 using data from Ghana meteorological Unit and Windfinder respectively. Moreover, the Inverse Distance Weighted interpolation of winds peed was used to generate the maps at different hub heights for 2010 and 2018. The results indicate that, the 2010 wind map showed wind speed is highest (8m/s) in the southernmost part of Ghana (i.e. Coastal part of Greater Accra and Volta Regions) at 10m high while the wind map of 2018 showed that wind speed is highest (9m/s) in the Upper East Region of Ghana at 10m high. As wind energy is untapped in Ghana, we advised that Government should further explore the results for the Upper East Region in ascertaining that it was not influenced by Trade winds and apply to different sectors of the economy through appropriate institutional regulations. The wind energy in Northern Ghana should be dedicated to mechanized agriculture, augmenting electricity tariffs for the poor in those areas and extending electricity to rural communities that do not have access to the national grid under the rural electrification project. Meanwhile, the wind energy generated from the southern part of Ghana should be dedicated mostly to commercial and industrial activities. Keywords: Wind Energy Potential, mechanized agriculture, industrial application, GIS, RS

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