scholarly journals Wind Energy Potential in Gaza Strip-Palestine state

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Yasser Fathi Nassar ◽  
Samer Yassin Alsadi
Keyword(s):  
Wind Energy ◽  
Wind Farm ◽  
Meteorological Data ◽  
Gaza Strip ◽  
Economic Feasibility ◽  
Border Crossing ◽  
Wind Rose ◽  
Energy Potential ◽  
The North ◽  
Wind Energy Potential

In this study, wind speed and direction data provided by Meteoblue AG-Switzerland as hourly time-series for 16 years from 2000 to 2015 for selected three cities in Gaza Strip, are used directly to evaluate the wind energy in the three selected sites which are geographically presenting the entire Strip. Jabalia is located in the North of Gaza Strip, Deir-albalah in the Middle and Rafah in the South. The wind rose diagrams have been depicted by using WRPLOT view 7.0.0 (wind rose plots for meteorological data from Lake Environmental, 2011). The statistical analysis of the data shows that; Rafah city is the first candidate to establish a wind farm in the entire Palestinian territory. The reason that, Rafah has the highest wind energy potential than the other sites. The second reason is that Rafah is located on the border crossing to Egypt, which facilitates the transfer of machinery, experts, and reduces transport and communication expanses. In addition to low population density, which increases the economic feasibility of utilizing wind energy at this location for remote area applications. The analysis has been done for a large types of wind turbines types. Gamesa G128-4.5 WT, which is manufactured for classes I and II wind speeds with low cut-in speed, was selected for our project. The estimated annual energy is 15,962 MWh/turbine, with an average utility factor of 40.4%; to cover the shortage of 200 MW we need to 110 WTs. The required area for the wind farm is estimated to be 43 km2.

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.

Wind resource assessment and wind farm modeling in Mossobo-Harena area, North Ethiopia

2020 ◽  
pp. 0309524X2092540
Author(s):  
Addisu Dagne Zegeye
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Power Density ◽  
Energy Production ◽  
Wind Farm ◽  
Ground Level ◽  
Energy Potential ◽  
Mean Power ◽  
Wind Energy Potential

Although Ethiopia does not have significant fossil fuel resource, it is endowed with a huge amount of renewable energy resources such as hydro, wind, geothermal, and solar power. However, only a small portion of these resources has been utilized so far and less than 30% of the nation’s population has access to electricity. The wind energy potential of the country is estimated to be up to 10 GW. Yet less than 5% of this potential is developed so far. One of the reasons for this low utilization of wind energy in Ethiopia is the absence of a reliable and accurate wind atlas and resource maps. Development of reliable and accurate wind atlas and resource maps helps to identify candidate sites for wind energy applications and facilitates the planning and implementation of wind energy projects. The main purpose of this research is to assess the wind energy potential and model wind farm in the Mossobo-Harena site of North Ethiopia. In this research, wind data collected for 2 years from Mossobo-Harena site meteorological station were analyzed using different statistical software to evaluate the wind energy potential of the area. Average wind speed and power density, distribution of the wind, prevailing direction, turbulence intensity, and wind shear profile of the site were determined. Wind Atlas Analysis and Application Program was used to generate the generalized wind climate of the area and develop resource maps. Wind farm layout and preliminary turbine micro-sitting were done by taking various factors into consideration. The IEC wind turbine class of the site was determined and an appropriate wind turbine for the study area wind climate was selected and the net annual energy production and capacity factor of the wind farm were determined. The measured data analysis conducted indicates that the mean wind speed at 10 and 40 m above the ground level is 5.12 and 6.41 m/s, respectively, at measuring site. The measuring site’s mean power density was determined to be 138.55 and 276.52 W/m2 at 10 and 40 m above the ground level, respectively. The prevailing wind direction in the site is from east to south east where about 60% of the wind was recorded. The resource grid maps developed by Wind Atlas Analysis and Application Program on a 10 km × 10 km area at 50 m above the ground level indicate that the selected study area has a mean wind speed of 5.58 m/s and a mean power density of 146 W/m2. The average turbulence intensity of the site was found to be 0.136 at 40 m which indicates that the site has a moderate turbulence level. According to the resource assessment done, the area is classified as a wind Class IIIB site. A 2-MW rated power ENERCON E-82 E2 wind turbine which is an IEC Class IIB turbine with 82 m rotor diameter and 98 m hub height was selected for estimation of annual energy production on the proposed wind farm. 88 ENERCON E-82 E2 wind turbines were properly sited in the wind farm with recommended spacing between the turbines so as to reduce the wake loss. The rated power of the wind farm is 180.4 MW and the net annual energy production and capacity factor of the proposed wind farm were determined to be 434.315 GWh and 27.48% after considering various losses in the wind farm.

scholarly journals Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed data

2018 ◽  
Vol 51 ◽  
pp. 01001
Author(s):  
Khaled Al-Salem ◽  
Waleed Al-Nassar
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Lower Layer ◽  
Probability Distributions ◽  
Clean Energy ◽  
Energy Potential ◽  
Wind Speed Data ◽  
The North ◽  
Energy Conversion Systems ◽  
Wind Energy Potential

Kuwait possesses a potential of renewable energy, such as solar and wind energy. Wind energy is an alternative clean energy source compared to fossil fuel, which pollute the lower layer of the atmosphere. In this study, statistical methods are used to analyze the wind speed data at Mubarak port (at Bubiyan Island), Failaka Island and Um-AlMaradim Island; which are located respectively in the north, mid and south of Kuwait territorial waters. Wind speed is the most important parameter in the design and study of wind energy conversion systems. The wind speed data were obtained from the Costal Information System Database (CIS) at Kuwait Institute for Scientific Research [1, 2 and 3]over a thirty seven years period, 1979 to 2015. In the present study, the wind energy potential of the locations was statistically analyzed based on wind speed data, over a period of thirty seven years. The probability distributions are derived from the wind data and their distributional parameters are identified. Two probability density functions are fitted to the probability distributions on a yearly basis. The wind energy potential of the locations was studied based on the Weibull and the Rayleigh models.

scholarly journals Assessment of wind energy potential for small scale water pumping systems in the north region of Cameroon

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Dieudonné Kaoga Kidmo ◽  
Noël Djongyang ◽  
Serges Yamigno Doka ◽  
Danwe Raidandi
Keyword(s):  
Wind Energy ◽  
Small Scale ◽  
Energy Potential ◽  
The North ◽  
Water Pumping ◽  
Wind Energy Potential

scholarly journals A decision support system for assessing offshore wind energy potential in the North Sea

Energy Policy ◽  
2012 ◽  
Vol 49 ◽  
pp. 541-551 ◽  
Author(s):  
Christoph Schillings ◽  
Thomas Wanderer ◽  
Lachlan Cameron ◽  
Jan Tjalling van der Wal ◽  
Jerome Jacquemin ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Wind Energy ◽  
North Sea ◽  
Support System ◽  
Offshore Wind ◽  
Energy Potential ◽  
The North ◽  
The North Sea ◽  
Wind Energy Potential

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.

Technoeconomic Study of Wind Energy Potential and Prospects in Oman

2010 ◽  
Author(s):  
Arif S. Malik ◽  
Haitham N. Al-Jabri ◽  
Fahad N. Al-Farsi ◽  
Thani S. Al-Ma’mary ◽  
Mohammed K. Al-Khadhuri
Keyword(s):  
Wind Energy ◽  
Gas Turbines ◽  
Wind Farm ◽  
Economic Cost ◽  
Energy Potential ◽  
Levelized Cost ◽  
Long Run ◽  
Cost Of Energy ◽  
Wind Energy Potential ◽  
Grid Application

This paper reports the study that carried out to find the wind energy potential and prospects in Oman. The results presented here are for three different sites. The first site discussed is for remote non-grid application of wind energy, the second for grid application and the third for wind pump application. The economic comparison for non-grid power applications is made between diesel engine generating sets alone and wind-diesel hybrid system at the selected location. The economic cost of grid system extension is also estimated for comparison purposes. The results show that for non-grid application for the selected site the levelized cost of wind-diesel system is 0.105 $/kWh comparing to 0.148 $/kWh for diesel system alone. For grid power application the study found that installing a 20 MW wind farm in Quiroon Hariti has a levelized cost of energy comparable to long-run marginal cost of open cycle gas turbines. For wind pump application the study found that the total annualized cost of installing wind pumps for irrigating a selected farm in Thumrait without and with one day water storage is $1,368 and $2,067 respectively. The total annualized cost of using a diesel pump for irrigating the same farm is $3,523.

Assessment of wind energy potential and economics in the north-western Iranian cities of Tabriz and Ardabil

2015 ◽  
Vol 45 ◽  
pp. 87-99 ◽  
Author(s):  
Farivar Fazelpour ◽  
Nima Soltani ◽  
Sina Soltani ◽  
Marc A. Rosen
Keyword(s):  
Wind Energy ◽  
Energy Potential ◽  
The North ◽  
Wind Energy Potential ◽  
North Western

scholarly journals Estimation of Small Onshore Wind Power Development for Poverty Reduction in Jubek State, South Sudan, Africa

2020 ◽  
Vol 12 (4) ◽  
pp. 1483
Author(s):  
Adam Juma Abdallah Gudo ◽  
Jinsong Deng ◽  
Marye Belete ◽  
Ghali Abdullahi Abubakar
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
Poverty Reduction ◽  
Wind Farm ◽  
South Sudan ◽  
Energy Potential ◽  
Animal Products ◽  
Developmental Progress ◽  
Digital Elevation ◽  
Wind Energy Potential

Energy security is one of the challenging issues hindering developmental progress in developing countries. Wind power as a renewable energy source can play a significant role in poverty reduction if adequate information is provided. In this study, multi-approach technics were applied for a better understanding of the wind energy potential in Jubek State, South Sudan. Geographic Information System (GIS), remote sensing, and mathematical equations were applied in identifying suitable locations, potential power per unit area, wind farm layout, design of appropriate turbine size, and utilization of wind energy in both agricultural and domestic sectors. Wind speed, land use land cover, and digital elevation maps of the study area were processed in ArcGIS, MATLAB (Weibull distribution), and Minitab software. The results show that 17,331.4 km2 (94.64%) of the study area is appropriate for wind power generation, with wind density of about 3.65 W/m2 and installation capacity about 19,757.79 MW, resulting in an annual energy production of about 7269.29 GWh. With the proposed wind turbine, one ton of various crops and animal products require 1–4 and 2–20 turbines, respectively. Therefore, the step-by-step procedures followed in this study will contribute to poverty reduction through improving agricultural productivity and food quality.

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