Wind energy potential of Vesleskarvet and the feasibility of meeting the South African׳s SANAE IV energy demand

2016 ◽  
Vol 56 ◽  
pp. 226-234 ◽  
Author(s):  
T.R. Ayodele ◽  
A.S.O. Ogunjuyigbe
Keyword(s):  
Wind Energy ◽  
Energy Demand ◽  
The South ◽  
Energy Potential ◽  
Wind Energy Potential

scholarly journals Ranking Locations for Hydrogen Production Using Hybrid Wind-Solar: A Case Study

2021 ◽  
Vol 13 (8) ◽  
pp. 4524
Author(s):  
Khalid Almutairi ◽  
Ali Mostafaeipour ◽  
Ehsan Jahanshahi ◽  
Erfan Jooyandeh ◽  
Youcef Himri ◽  
...  
Keyword(s):  
Decision Making ◽  
Hydrogen Production ◽  
Solar Energy ◽  
Wind Energy ◽  
Energy Demand ◽  
Fars Province ◽  
Multi Criteria Decision Making ◽  
Energy Potential ◽  
Wind Energy Potential ◽  
Renewable Hydrogen

Observing the growing energy demand of modern societies, many countries have recognized energy security as a looming problem and renewable energies as a solution to this issue. Renewable hydrogen production is an excellent method for the storage and transfer of energy generated by intermittent renewable sources such as wind and solar so that they can be used at a place and time of our choosing. In this study, the suitability of 15 cities in Fars province, Iran, for renewable hydrogen production was investigated and compared by the use of multiple multi-criteria decision-making methods including ARAS, SAW, CODAS, and TOPSIS. The obtained rankings were aggregated by rank averaging, Borda method, and Copeland method. Finally, the partially ordered set ranking technique was used to reach a general consensus about the ranking. The criteria that affect hydrogen production were found to be solar energy potential, wind energy potential, population, air temperature, natural disasters, altitude, relative humidity, land cost, skilled labor, infrastructure, topographic condition, and distance from main roads. These criteria were weighted using the best–worst method (BWM) based on the data collected by a questionnaire. Solar energy potential was estimated using the Angstrom model. Wind energy potential was estimated by using the Weibull distribution function for each month independently. The results of the multi-criteria decision-making methods showed Izadkhast to be the most suitable location for renewable hydrogen production in the studied area.

scholarly journals Wind Energy Potential Assessment of Great Cumbrae Island Using Weibull Distribution Function

2019 ◽  
pp. 1-8 ◽  
Author(s):  
Emmanuel Yeri Kombe ◽  
Joseph Muguthu
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Energy Demand ◽  
Probability Distributions ◽  
Energy Resource ◽  
Horizontal Wind ◽  
Energy Potential ◽  
Mean Wind Speed ◽  
Wind Energy Potential ◽  
Scottish Government

Wind energy is among the fastest growing energy generation technology which is highly preferred alternative to conventional sources of energy. The major Scottish Government target is to deliver 30% of her energy demand by 2020 from renewable sources of energy as well as meeting the emission targets as set under the Scotland Climate Change Act 2009. In this paper, wind energy potential assessment of Great Cumbrae Island was investigated. For this, a ten year mean monthly wind speed at height 50 m obtained from the National Aeronautic Space Administration (NASA) were analysed using the Weibull probability distributions to assess the wind energy potential of Great Cumbrae Island as a clean, sustainable energy resource. Results from the wind-speed model showed that Great Cumbrae Island as high wind-speed site with a mean wind speed of 7.598 m/s and having power density . The annual energy captured by four selected horizontal wind turbine models was determined. The result shows that GE 2.0 platform can capture 4.5 GWh energy in a year which is an acceptable quantity for wind energy.

scholarly journals Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria

2019 ◽  
Vol 6 (3) ◽  
pp. 244-253
Author(s):  
Ndukwe E. Chiemelu ◽  
Ugonna Nkwunonwo ◽  
Francis I. Okeke ◽  
Oliver C. Ojinnaka
Keyword(s):  
Wind Energy ◽  
The South ◽  
Energy Potential ◽  
Wind Energy Potential

scholarly journals Wind Energy Potential Assessment of Coastal States in South-South Nigeria Based on the Weibull Distribution Model

2018 ◽  
Vol 2 (7) ◽  
Author(s):  
Hachimenum Nyebuchi Amadi
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Energy Demand ◽  
Industrial Development ◽  
Energy Deficit ◽  
Distribution Model ◽  
Energy Potential ◽  
Wind Speed Data ◽  
Port Harcourt ◽  
Wind Energy Potential

Energy has since become the global index for assessment of standard of living for socio-economic and industrial development. Worldwide, energy demand is rising with increasing population. Conventional energy sources such as fossil fuels are unsustainable and environmentally-unfriendly. Alternative sources of energy such as the sun, the wind etc. that are sustainable and less harmful to the environment need be exploited to meet the ever rising demand for energy, to avoid energy deficit. This paper investigated the wind energy potential of three locations in south-south Nigeria. Wind speed data measured at 10-metres height over the period 2013-2017 obtained from the Nigerian Meteorological Agency (NiMet) for Yenagoa, Calabar and Port Harcourt were evaluated using the Weibull two-parameter probability distribution model to ascertain the wind energy potential of the respective locations. The study outcome shows that during the study period, the monthly mean wind speed varied between 1.2 m/s in November and 2.3 m/s in February for Yenagoa. The same varied between 2.2 m/s in July and 3.7 m/s in February for Calabar but ranged between 1.0 m/s in July to 1.6 m/s in February for Port Harcourt. The annual mean wind speeds for Yenagoa, Calabar and Port Harcourt were 1.74 m/s, 2.85 m/s and 1.38 m/s respectively. The annual mean power densities for Yenagoa, Calabar and Port Harcourt were found to be 4.64 W/m2, 7.06 W/m2 and 3.08 W/m2 respectively while the corresponding values of the annual mean energy densities were 3.24 KW/m2, 4.93 KW/m2 and 2.14 KW/m2 respectively. The study reveal that though wind energy in the study areas is sufficient only for standalone power generating systems, water pumping and applications requiring less power, higher value of wind energy is possible if wind speed data were collected at heights above the 10m implemented in the study.  

WIND ENERGY POTENTIAL FOR POWER GENERATION OF A LOCAL SITE IN GUSAU, NIGERIA

2010 ◽  
Vol 11 (1-4) ◽  
pp. 99-116 ◽  
Author(s):  
Oluseyi O. Ajayi ◽  
R. O. Fagbenle ◽  
James Katende ◽  
Joshua O. Okeniyi ◽  
O. A. Omotosho
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Energy Potential ◽  
Local Site ◽  
Wind Energy Potential

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.

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