Assessment of wind energy potential for selecting wind turbines: An application to Thailand

2015 ◽  
Vol 11 ◽  
pp. 17-26 ◽  
Author(s):  
Pham Quan ◽  
Thananchai Leephakpreeda
Keyword(s):  
Wind Energy ◽  
Wind Turbines ◽  
Energy Potential ◽  
Wind Energy Potential

scholarly journals Prospects for the Wind Energy Use for Power and Heat Supply to Decentralized Consumers in the Western Sector of the Russian Arctic

2021 ◽  
Vol 2096 (1) ◽  
pp. 012111
Author(s):  
V A Minin ◽  
S I Krivtsov
Keyword(s):  
Wind Energy ◽  
Wind Turbines ◽  
Heat Supply ◽  
Power Plants ◽  
Energy Use ◽  
The Arctic ◽  
Russian Arctic ◽  
Energy Potential ◽  
Western Sector ◽  
Wind Energy Potential

Abstract An issue of the possible involvement of wind turbines in the power and heat supply of remote dispersed consumers in the Arctic (meteorological stations, lighthouses, border outposts, army and navy facilities, hunting seats, fishermen and geophysical explorers’ bases, etc.) is considered. The need for the functioning of the consumers remains in the long term. The study of the wind energy potential in the western sector of the Russian Arctic showed emerging prerequisites to be favourable for the efficient use of this renewable energy source in the coastal areas of the Barents and White Seas. Average annual wind speed at a height of 10 m in the areas mentioned are 6-8 m/s. There is a pronounced seasonal wind intensity maximum, which coincides with the seasonal maximum of the consumer’s demand for power and heat. Exemplified by facilities located in the coastal Kola Peninsula, it is shown that it is possible to save a significant amount of expensive imported fuel combusted at diesel power plants and boiler rooms, and thereby to reduce the generated electricity and heat costs by 25-40%, when implementing wind turbines.

scholarly journals Wind Energy Potential of Gaza Using Small Wind Turbines: A Feasibility Study

Energies ◽  
2017 ◽  
Vol 10 (8) ◽  
pp. 1229 ◽  
Author(s):  
Mohamed Elnaggar ◽  
Ezzaldeen Edwan ◽  
Matthias Ritter
Keyword(s):  
Wind Energy ◽  
Feasibility Study ◽  
Wind Turbines ◽  
Energy Potential ◽  
Small Wind Turbines ◽  
Wind Energy Potential

scholarly journals Impact of wind direction on wind energy potential for building- integrated ducted wind turbines: a numerical analysis

2021 ◽  
Vol 2042 (1) ◽  
pp. 012107
Author(s):  
Sadra Sahebzadeh ◽  
Hamid Montazeri ◽  
Abdolrahim Rezaeiha
Keyword(s):  
Wind Energy ◽  
Power Density ◽  
Wind Turbines ◽  
Wind Direction ◽  
Energy Potential ◽  
Mean Power ◽  
Duct Geometry ◽  
Wind Energy Potential ◽  
The Mean ◽  
The Impact

Abstract The aerodynamic performance of building-integrated ducted wind turbines depends on several parameters such as the duct geometry, variation in wind speed and direction (which are inherent characteristics of the urban wind). This study focuses on the impact of wind direction on wind energy potential of a previously optimized building-integrated duct geometry [1], embedded in a generic isolated high-rise building. The mean power density at the duct throat (where the turbine can be installed) is investigated in four wind directions of θ = 0°, 30°, 60° and 90°. High-fidelity steady RANS simulations, validated with experimental data, are used. The results show that the studied duct can increase the mean power density at its throat (i.e. rotor plane) up to 7.08 – 24.8 times that of the freestream flow at the same height for a wide range of -60° ⩽ 0 ⩽ 60°. The variation of wind energy potential in different wind directions is shown to be due to the increased size of the nozzle stagnation and separation regions for θ > 0° which limit the nozzle effective area and lower flowrate through the throat. Flow deviation from the duct central axis towards its walls further depletes the wind energy in friction.

scholarly journals A Four Dimensional Variational Data Assimilation Framework for Wind Energy Potential Estimation

Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 167 ◽  
Author(s):  
Elias D. Nino-Ruiz ◽  
Juan C. Calabria-Sarmiento ◽  
Luis G. Guzman-Reyes ◽  
Alvin Henao
Keyword(s):  
Data Assimilation ◽  
Wind Energy ◽  
Wind Turbines ◽  
Energy Potential ◽  
Large Variability ◽  
Wind Speeds ◽  
Initial Analysis ◽  
Modified Cholesky Decomposition ◽  
Wind Energy Potential ◽  
Rate Capacity

In this paper, we propose a Four-Dimensional Variational (4D-Var) data assimilation framework for wind energy potential estimation. The framework is defined as follows: we choose a numerical model which can provide forecasts of wind speeds then, an ensemble of model realizations is employed to build control spaces at observation steps via a modified Cholesky decomposition. These control spaces are utilized to estimate initial analysis increments and to avoid the intrinsic use of adjoint models in the 4D-Var context. The initial analysis increments are mapped back onto the model domain from which we obtain an estimate of the initial analysis ensemble. This ensemble is propagated in time to approximate the optimal analysis trajectory. Wind components are post-processed to get wind speeds and to estimate wind energy capacities. A matrix-free analysis step is derived from avoiding the direct inversion of covariance matrices during assimilation cycles. Numerical simulations are employed to illustrate how our proposed framework can be employed in operational scenarios. A catalogue of twelve Wind Turbine Generators (WTGs) is utilized during the experiments. The results reveal that our proposed framework can properly estimate wind energy potential capacities for all wind turbines within reasonable accuracies (in terms of Root-Mean-Square-Error) and even more, these estimations are better than those of traditional 4D-Var ensemble-based methods. Moreover, large variability (variance of standard deviations) of errors are evidenced in forecasts of wind turbines with the largest rate-capacity while homogeneous variability can be seen in wind turbines with the lowest rate-capacity.

The wind energy potential in Kudat Malaysia by considering the levelized cost of energy for combined wind turbine capacities

2020 ◽  
pp. 0958305X2093700
Author(s):  
A Albani ◽  
MZ Ibrahim ◽  
KH Yong ◽  
ZM Yusop ◽  
MA Jusoh ◽  
...  
Keyword(s):  
Wind Energy ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Small Scale ◽  
Energy Potential ◽  
Levelized Cost ◽  
Cost Of Energy ◽  
Wind Energy Potential ◽  
Wind Park ◽  
Utility Scale

This paper presents the wind energy potential at Kudat Malaysia by considering the Levelized cost of energy (LCOE) model for combined wind turbine capacities. The combination of small- and utility-scale wind turbines is the key to the success of the operation of a wind park in the lower wind speed region. In a combination approach, the small-scale wind turbines provide the power required by the utility-scale wind turbines to start the blade rotation. For this reason, the particular closed-form equation was modified to determine the LCOE of a wind park with combined turbine capacities. The modified LCOE model can be used as a basis for setting tariff rates or define the economic feasibility of wind energy projects with combined wind turbine capacities.

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