Technical review of wind energy potential as small-scale power generation sources in Penang Island Malaysia

2012 ◽  
Vol 16 (5) ◽  
pp. 3034-3042 ◽  
Author(s):  
Tow Leong Tiang ◽  
Dahaman Ishak
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Small Scale ◽  
Energy Potential ◽  
Technical Review ◽  
Wind Energy Potential

Assessment of Wind Energy Potential for Small Scale Power Generation at Thatta, Sindh, Pakistan

2015 ◽  
Vol 11 ◽  
pp. 261-264
Author(s):  
Fayyaz Rasheed ◽  
◽  
S.Z. Abbas ◽  
R. Tanweer ◽  
Firoz Ahmad ◽  
...  
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Small Scale ◽  
Energy Potential ◽  
Wind Energy Potential

scholarly journals Assessment of Wind Energy Potential as a Power Generation Source: A Case Study of Eight Selected Locations in Northern Cyprus

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2697 ◽  
Author(s):  
Mohamad Alayat ◽  
Youssef Kassem ◽  
Hüseyin Çamur
Keyword(s):  
Power Generation ◽  
Wind Speed ◽  
Wind Energy ◽  
Wind Power ◽  
Actual Data ◽  
Small Scale ◽  
Energy Potential ◽  
Northern Cyprus ◽  
Mean Wind Speed ◽  
Wind Energy Potential

This paper presents a techno-economic assessment of the wind power potential for eight locations distributed over the Northern part of Cyprus. The wind speed data were collected from the meteorological department located in Lefkoşa, Northern Cyprus.Ten distribution models were used to analyze the wind speed characteristics and wind energy potential at the selected locations. The maximum-likelihood method was used for calculating the parameters of the distribution functions.The power law model is utilized to determine the mean wind speed at various heights. In addition, the wind power density for each location was estimated. Furthermore, the performances of different small-scale vertical axis 3–10 kW wind turbines were evaluated to find those that were suitable and efficient for power generation in the studied locations.The results showed that the annual mean wind speed in the regions is greater than 2 m/s at a height of 10 m. Moreover, it is indicated that Generalized Extreme Value distribution provided the best fit to the actual data for the regions of Lefkoşa, Ercan, Girne, Güzelyurt, and Dipkarpaz. However, the Log-Logistic, Weibull, and Gamma distributions gave a better fit to the actual data of Gazimağusa, YeniBoğaziçi, and Salamis, respectively. The Rayleigh distribution does not fit the actual data from all regions. Furthermore, the values of wind power densityat the areas studied ranged from 38.76 W/m2 to 134.29 W/m2 at a height of 50 m, which indicated that wind energy sources in these selected locations are classified as poor. Meanwhile, based on the wind analysis, small-scale wind turbine use can be suitable for generating electricity in the studied locations. Consequently, an Aeolos-V2 with a rating of 5 kW was found to be capable of producing the annual energy needs of an average household in Northern Cyprus.

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 VISUAL ANALYTICS WEB PLATFORM FOR DETECTING HIGH WIND ENERGY POTENTIAL IN URBAN ENVIRONMENTS BY EMPLOYING OGC STANDARDS

2020 ◽  
Vol XLIV-4/W1-2020 ◽  
pp. 71-74
Author(s):  
A. Koukofikis ◽  
V. Coors
Keyword(s):  
Wind Energy ◽  
Visual Analytics ◽  
Vertical Axis ◽  
Urban Environments ◽  
Small Scale ◽  
High Wind ◽  
Energy Potential ◽  
Web Architecture ◽  
Wind Energy Potential ◽  
Ogc Standards

Abstract. We propose a server-client web architecture identifying areas with high wind energy potential by employing 3D technologies and OGC standards. The assessment of a whole city or sub-regions will be supported by integrating Computational Fluid Dynamics (CFD) with historical wind sensor readings. The results, in 3D space, of such analysis could be used for locating installation points of small-scale vertical axis wind turbines in an urban area.

ANN-based evaluation of wind power generation: A case study in Kutahya, Turkey

2014 ◽  
Vol 25 (4) ◽  
pp. 11-22 ◽  
Author(s):  
Mustafa Arif Özgür
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Wind Power ◽  
Conjugate Gradient ◽  
Clean Energy ◽  
Energy Potential ◽  
Wind Measurement ◽  
Levenberg Marquardt ◽  
Wind Energy Potential ◽  
Generation Capacity

Wind energy is one of the most significant and rapidly developing renewable energy sources in the world and it provides a clean energy resource, which is a promising alternative in the short term in Turkey. The wind energy potential in various parts of Turkey is becoming economical due to reductions in wind turbine costs, and in fossil fuel atmospheric pollution. This paper is to present, in brief, wind potential in Turkey and to perform an investigation on the wind energy potential of the Kutahya region. A wind measurement station was established at Dumlupinar University Main Campus in order to figure out the wind energy potential in the province. This study analyses the electricity generation capacity of the Kutahya region, Turkey, which uses the wind power system. In the study, the wind data collected from wind measurement stations between July 2001 and June 2004 (36 months) were evaluated to determine the energy potential of the region. Using this energy potential value, the power generation capacity of Kutahya was investigated for 17 different wind turbines. In this analysis, an ANN-based model and Weibull and Rayleigh distribution models were used to determine the power generation. In the ANN model, different feed-forward back propagation learning algorithms, namely Pola-Ribiere Conjugate Gradient, Levenberg–Marquardt and Scaled Conjugate Gradient were applied. The best appropriate model was determined as Levenberg–Marquardt with 15 neurons in a single hidden layer. Using the best ANN topology, it was determined that all the turbines were profitable except turbine type 1. The system with the turbine type 3 was decisively the most profitable case as determined at the end of the study according to Net Present Value  concept.

scholarly journals Wind Energy Potential in Kuching Areas of Sarawak for Small-Scale Power Application

2015 ◽  
Vol 15 ◽  
pp. 1-10 ◽  
Author(s):  
S.M. Lawan ◽  
W.A.W.Z. Abidin ◽  
W.Y. Chai ◽  
Azhaili Baharun ◽  
Thelaha Masri
Keyword(s):  
Wind Energy ◽  
Lower Layer ◽  
National Development ◽  
Cost Effective ◽  
Energy System ◽  
Small Scale ◽  
Energy Potential ◽  
Wind Energy Potential ◽  
Power Application ◽  
Wind Energy Systems

Energy is a catalyst for national development; most of the countries depend on hydrocarbon fuels for power generation. The traditional sources of energy are exorbitant and finite. In addition, they emit excessive carbon dioxide and other gases into the lower layer of the atmosphere which influence the increase occurrence of global warming in the world. Recently, renewable energy’s are gaining more attraction and attention in many parts of the globe, due to non-polluting characteristics. Among the renewable, wind power has emerged as safest and cleanest resource that will satisfy the need of energy in a cost effective way. Wind energy system can suit the energy need for grid and stand alone mode. This paper investigates the potential of wind energy in Kuching for small-scale application. The study employed three years wind speed data spanning from 2010-2012 observed at the Kuching meteorological station. Details of the analysis and potential of using wind energy systems are presented. Additionally, the output performances of two wind turbines are examined on the basis of the computed Weibull distribution.

Sign in / Sign up

Export Citation Format

Share Document