A novel stochastic model for very short-term wind speed forecasting in the determination of wind energy potential of a region: A case study from Turkey

In this study, the compatibility of the real wind energy potential to the estimated wind energy potential by Weibull Distribution Function (WDF) of a region with low average wind speed potential was examined. The main purpose of this study is to examine the performance of six different methods used to find the coefficients of the WDF and to determine the best performing method for selected region. In this study seven-year hourly wind speed data obtained from the general directorate of meteorology of this region was used. The root mean square error (RMSE) statistical indicator was used to compare the efficiency of all used methods. Another main purpose of this study is to observe the how the performance of the used methods changes over the years. The obtained results showed that the performances of the used methods showed slight changes over the years, but when evaluated in general, it was observed that all method showed acceptable performance. Based on the obtained results, when the seven-year data is evaluated in this selected region, it can be said that the MM method shows the best performance.

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Wind Data Analysis and Wind Flow Simulation Over Large Areas

Mathematical Modelling in Civil Engineering ◽

10.2478/mmce-2014-0005 ◽

2014 ◽

Vol 10 (1) ◽

pp. 38-45

Author(s):

Angel Terziev ◽

Ivan Antonov ◽

Rositsa Velichkova

Keyword(s):

Renewable Energy ◽

Wind Energy ◽

Renewable Energy Sources ◽

Energy Sources ◽

Wind Flow ◽

Energy Potential ◽

Wind Potential ◽

Wind Energy Potential ◽

The Impact

Abstract Increasing the share of renewable energy sources is one of the core policies of the European Union. This is because of the fact that this energy is essential in reducing the greenhouse gas emissions and securing energy supplies. Currently, the share of wind energy from all renewable energy sources is relatively low. The choice of location for a certain wind farm installation strongly depends on the wind potential. Therefore the accurate assessment of wind potential is extremely important. In the present paper an analysis is made on the impact of significant possible parameters on the determination of wind energy potential for relatively large areas. In the analysis the type of measurements (short- and long-term on-site measurements), the type of instrumentation and the terrain roughness factor are considered. The study on the impact of turbulence on the wind flow distribution over complex terrain is presented, and it is based on the real on-site data collected by the meteorological tall towers installed in the northern part of Bulgaria. By means of CFD based software a wind map is developed for relatively large areas. Different turbulent models in numerical calculations were tested and recommendations for the usage of the specific models in flows modeling over complex terrains are presented. The role of each parameter in wind map development is made. Different approaches for determination of wind energy potential based on the preliminary developed wind map are presented.

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Climate Change Induced Uncertainty of Wind Energy Potential for the Azov and Black Seas Coastal Zone

Ekologicheskaya bezopasnost pribrezhnoy i shel fovoy zon morya ◽

10.22449/2413-5577-2020-4-22-39 ◽

2020 ◽

Author(s):

V. P. Evstigneev ◽

◽

N. A. Lemeshko ◽

V. A. Naumova ◽

M. P. Evstigneev ◽

...

Keyword(s):

Climate Change ◽

Wind Speed ◽

Wind Energy ◽

Wind Power ◽

Black Sea ◽

Operating Time ◽

Energy Output ◽

Energy Potential ◽

Wind Energy Potential ◽

Wind Climate

The paper deals with assessing an impact of wind climate change on the wind energy potential of the Azov and Black Sea coast region. A lower estimate of operating time for wind power installation and a potential annual energy output for the region are given for the case of Vestas V117-4.2MW. Calculation has been performed of a long-term mean wind speed for two adjacent climatic periods (1954–1983 and 1984–2013) based on data from meteorological stations of the Black and Azov Sea region. The results show a decrease in wind speed at all meteorological stations except for Novorossiysk. The wind climate change is confirmed by comparing two adjoined 30-year periods and by estimating linear trends of the mean annual wind speed for the period 1954–2013, which are negative and significant for almost all meteorological stations in the region (α = 1 %). The trend values were estimated by the nonparametric method of robust linear smoothing using the Theil – Sen function. In the present study, the uncertainty of wind energy resource induced by a gradual wind climate change is estimated for perspective planning of this branch of energy sector. Despite the observed trends in the wind regime, average wind speeds in the Azov and Black Sea region are sufficient for planning the location of wind power plants.

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Wind Energy Potential in Nine Coastal Sites in Malaysia

مجلة جامعة فلسطين التقنية للأبحاث ◽

10.53671/ptukrj.v1i1.7 ◽

2013 ◽

Vol 1 (1) ◽

pp. 10-15

Author(s):

Kamaruzzaman Sopian ◽

Tamer Khatib

Keyword(s):

Wind Speed ◽

Wind Energy ◽

Data Bank ◽

Energy Potential ◽

Average Wind Speed ◽

Speed Distribution ◽

Average Wind ◽

Wind Speed Distribution ◽

Wind Energy Potential ◽

Swept Area

In this paper, the wind energy potential in Malaysia is examined by analyzing hourly wind speed data for nine coastal sites namely Bintulu, Kota Kinabalu, Kuala Terengganu, Kuching, Kudat, Mersing, Sandakan, Tawau and Pulau Langkawi. The monthly averages of wind speed and wind energy are calculated. Moreover, the wind speed distribution histogram is constructed for these sites. The results showed that the average wind speed for these sites is in the range of (1.8-2.9) m/s while the annual energy of the wind hitting a wind turbine with a 1 m2 swept area is in the range of (15.4-25.2) kWh/m2.annum. This paper provides a data bank for wind energy for Malaysia.

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Assessment of wind energy potential across varying topographical features of Tamil Nadu, India

Energy Exploration & Exploitation ◽

10.1177/0144598719875276 ◽

2019 ◽

Vol 38 (1) ◽

pp. 175-200 ◽

Cited By ~ 7

Author(s):

Shafiqur Rehman ◽

Narayanan Natarajan ◽

Mangottiri Vasudevan ◽

Luai M Alhems

Keyword(s):

Wind Speed ◽

Wind Energy ◽

Wind Power ◽

Power Density ◽

Tamil Nadu ◽

High Energy ◽

Energy Potential ◽

Annual Average ◽

Wind Power Density ◽

Wind Energy Potential

Wind energy is one of the abundant, cheap and fast-growing renewable energy sources whose intensive extraction potential is still in immature stage in India. This study aims at the determination and evaluation of wind energy potential of three cities located at different elevations in the state of Tamil Nadu, India. The historical records of wind speed, direction, temperature and pressure were collected for three South Indian cities, namely Chennai, Erode and Coimbatore over a period of 38 years (1980-2017). The mean wind power density was observed to be highest at Chennai (129 W/m2) and lowest at Erode (76 W/m2) and the corresponding mean energy content was highest for Chennai (1129 kWh/m2/year) and lowest at Erode (666 kWh/m2/year). Considering the events of high energy-carrying winds at Chennai, Erode and Coimbatore, maximum wind power density were estimated to be 185 W/m2, 190 W/m2 and 234 W/m2, respectively. The annual average net energy yield and annual average net capacity factor were selected as the representative parameters for expressing strategic wind energy potential at geographically distinct locations having significant variation in wind speed distribution. Based on the analysis, Chennai is found to be the most suitable site for wind energy production followed by Coimbatore and Erode.

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