scholarly journals A Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments by Employing OGC Standards

2021 ◽  
Vol 10 (10) ◽  
pp. 707
Author(s):  
Athanasios Koukofikis ◽  
Volker Coors
Keyword(s):  
Wind Energy ◽  
Visual Analytics ◽  
Smart Cities ◽  
Small Scale ◽  
Energy Yield ◽  
High Wind ◽  
Energy Potential ◽  
Web Architecture ◽  
Wind Energy Potential ◽  
Ogc Standards

Moving into the third decade of the 21st century, smart cities are becoming a vital concept of advancement of the quality of life. Without any doubt, cities today can generate data of high velocity which can be used in plethora of applications. The wind flow inside a city is an area of several studies which span from pedestrian comfort and natural ventilation to wind energy yield. We propose a Visual Analytics platform based on a server-client web architecture capable of identifying areas with high wind energy potential by employing 3D technologies and Open Geospatial Consortium (OGC) standards. The assessment of a whole city or sub-regions will be supported by integrating Computational Fluid Dynamics (CFD) outcomes with historical wind sensor readings. The results, in 3D space, of such analysis could be used by a wide audience, including city planners and citizens, for locating installation points of small-scale horizontal or vertical axis wind turbines in an urban area. A case study in an urban quarter of Stuttgart is used to evaluate the interactiveness of the proposed workflow. The results show an adequate performance, although there is a lot of room for improvement in future work.

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.

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.

scholarly journals Evaluation of wind energy potential for different regions in Lebanon based on NASA wind speed database

2021 ◽  
Vol 926 (1) ◽  
pp. 012093
Author(s):  
Y Kassem ◽  
H Çamur ◽  
M A H A Abdalla ◽  
B D Erdem ◽  
A M R Al-ani
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbine ◽  
Vertical Axis ◽  
Small Scale ◽  
Renewable Energy Resources ◽  
Vertical Axis Wind Turbine ◽  
Energy Potential ◽  
Horizontal Axis Wind Turbine ◽  
Wind Energy Potential

Abstract The grid-connected system can be an attractive solution to reduce electricity consumption, dependence on utility power, and increase electricity generation from renewable energy resources like wind energy for residential electricity users. Based on 33-year wind data (1983-2020), this study investigates the potential of wind energy at different locations ((Akkar, Baalbek, Beirut, Zahlé, Baabda, Nabatieh, Tripoli, and Sidon) in Lebanon using the Weibull distribution function. Monthly NASA wind speed data during the period (1983-2020) were used to estimate the wind energy potential. The result showed that the averaged wind speeds at the selected regions are varied from 3.695m/s to 4.457m/s at the height of 10m. Furthermore, the annual wind power density was estimated at various heights (10m, 30m, and 50m). The results demonstrated that small-scale wind turbines are recommended to be used for generating electricity from wind in the selected regions. Finally, the performance of WRE.060 / 6 kW (vertical axis wind turbine) and Proven WT 6000 (horizontal axis wind turbine) was done based on the monthly NASA wind speed database.

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.

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.

scholarly journals The Application of Small-Scale and Large-Scale Wind Turbines in Kerman, Iran; A Case Study

2021 ◽  
Vol 15 ◽  
pp. 124-131
Author(s):  
Ighball Baniasad Askari ◽  
Lina Baniasad Askari ◽  
Mohammad Mehdi Kaykhah
Keyword(s):  
Wind Energy ◽  
Wind Turbines ◽  
Large Scale ◽  
Small Scale ◽  
Energy Potential ◽  
Wind Speeds ◽  
Wind Energy Potential ◽  
Wind Characteristics ◽  
Technical Assessment

Wind data collected of the three synoptic sites for the period of Jul 2006 to Jun 2008 at the height of 40 m has been used to study the wind characteristics, monthly and annual wind energy potential for three agricultural districts in Kerman ( 30°15/N, 56°58/E ), Iran. Two statistical methods (Meteorological and Weibull) have been applied to determine the wind characteristics. Wind energy density, mean wind speeds and wind speed directions have been investigated. A technical assessment has been done and the electricity generation from five different wind turbines having capacity of (26 kW, 100 kW, 300 kW, 600 kW and 660 kW) has been calculated. The results show that all the locations studied are not suitable for electric wind application in a large-scale.

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