Wind energy resource assessment in Madrid region

The “Comunidad Autónoma de Madrid” (Autonomous Community of Madrid, in the following Madrid Region), is a region located at the geographical centre of the Iberian Peninsula. Its area is 8.028 km², and its population about five million people. The Department of Economy and Technological Innovation of the Madrid Region, together with some organizations dealing on energy saving and other research institutions have elaborated an Energy Plan for the 2004–12 period. As a part of this work, the Fluid Mechanics Laboratory of the Superior Technical School of Industrial Engineers of the Polytechnic University of Madrid has carried out the assessment of the wind energy resources [Crespo A, Migoya E, Gómez Elvira R. La energía eólica en Madrid. Potencialidad y prospectiva. Plan energético de la Comunidad de Madrid, 2004–2012. Madrid: Comunidad Autónoma de Madrid; 2004]; using for this task the WAsP program (Wind Atlas Analysis and Application Program), and the own codes, UPMORO (code to study orography effects) and UPMPARK (code to study wake effects in wind parks). Different kinds of data have been collected about climate, topography, roughness of the land, environmentally protected areas, town and village distribution, population density, main facilities and electric power supply. The Spanish National Meteorological Institute has nine wind measurement stations in the region, but only four of them have good and reliable temporary wind data, with time measurement periods that are long enough to provide representative correlations among stations. The Observed Wind Climates of the valid meteorological stations have been made. The Wind Atlas and the resource grid have been calculated, especially in the high wind resource areas, selecting appropriate measurements stations and using criteria based on proximity, similarity and ruggedness index. Some areas cannot be used as a wind energy resource mainly because they have environmental regulation or, in some cases, are very close to densely populated towns. In the finally selected areas, it is assumed that there are hypothetical wind farms, consisting of 2 MW turbines in appropriate configurations, in which the turbines are about 11 diameters apart. Its energy production will give an estimation of the wind energy potential of the Madrid Region.     

Wind energy resource assessment for five locations in Saudi Arabia

The analysis of recently collected wind data at five sites in Saudi Arabia namely, Dhulum, Arar, Yanbu, Gassim and Dhahran is presented. The five sites represent different geographically and climatologically conditions. The data collected over a period spanned between 1995 and 2002 with different collection periods for each site. Daily, monthly and frequency profiles of the wind speed at the sites showed that Dhulum and Arar sites have higher wind energy potential with annual wind speed average of 5.7 and 5.4 m/s and speeds higher than 5 m/s for 60 and 47% of the time, respectively. The two sites are candidates for remote area wind energy applications. The costal site's, i.e. Yanbu and Dhahran wind speed data indicated that the two sites have lower annual wind speed averages and wind blows at speed higher than 5 m/s during afternoon hours. That makes the two sites candidates for grid connected wind systems for electrical load peak shaving. The data of Gassim site showed that the site has the lowest wind energy potential compared to the others. The annual energy produced by a Nordex N43 wind machine is estimated to be 1080, 990, 730, 454 and 833 MWh for Dhulum, Arar, Yanbu, Gassim and Dhahran, respectively. The analysis showed that the estimated annual energy produced by the machine based on 10 min averaged data is 2.5% higher than the estimated energy based on 30 min averaged data.     

Wind resource assessment in the state of Arizona: Inventory, capacity factor, and cost

During the summer of 2003, the state of Arizona took delivery of a set of high-resolution wind energy maps that were developed with a meso-scale wind energy model coupled with wind data. The geographical information system data supplied with the wind maps was used to create a wind resource inventory that included wind energy potential, proximity to transmission lines, and land ownership. Four diverse sites were selected for further study, one predominantly class 3, one predominantly class 4, one predominantly class 5, and one predominantly class 6. At each site, the capacity factor was determined, the seasonal influence was observed, and the real levelized cost of energy in 2005 dollars determined. As the wind class varied from 6 to 3 the levelized cost of energy ranged from 4.22 to 6.00 cents/kWh. These results do not include the production tax credit or the renewable energy production incentive, do include adjustments for elevation, losses, and inflation, and are considered conservative. This paper documents the findings of the wind mapping process, describes the method and results of evaluating the most promising sites for wind development, and presents the cost of energy results.     

Wind resource assessment and comparative economic analysis using AMOS data on a 30 MW wind farm at Yulchon district in Korea

Detailed feasibility studies are necessary for wind farm development projects because the profitability changes greatly according to wind resource, wind turbine, CAPEX (capital expenduture), OPEX (operation expenditure), SMP (system marginal price), and REC (renewable energy certificate) price. Although measuring wind data over one year in the proposed site is essential, it is a cost-intensive and time-consuming process; hence, in the early stages of development, pre-feasibility studies are conducted using reference wind data from the neighboring areas. In the present study, a pre-feasibility study was conducted in Yulchon district of South Korea to develop a 30-MW wind farm. A wind resource map of Yulchon district was predicted using the AMOS (Aerodome Meteorological Observation System) wind data measured at Yeosu Airport. Three cases of wind farms each with different wind turbines were designed, and comparative economic analysis was carried out. The wind farm designed with SL3000/113 wind turbine recorded the highest profitability with project NPV of 33.62 billion KRW(33.29 million USD, 24.33 million EUR) and project IRR of 9.81%.     

Wind energy potential assessment for the Sultanate of Oman

Wind data analysis for the Sultanate of Oman is carried out in this study. The results are presented mainly in the form of contour maps, in addition to tabulated data and figures for average wind speed and direction as well as wind availability and power density spanning a period of ten years. The analysis covers diurnal, seasonal and height variations on wind parameters. The data used in the analysis were obtained from NASA Langley Research Center. This analysis provides a needed reference for the spatial distribution of wind characteristics for the whole of Oman from which possible locations for the deployment of wind-based energy conversion systems may be identified.     

Wind energy and assessment of wind energy potential in Turkey

In this study, the potential of wind energy and assessment of wind energy systems in Turkey were studied. The main purpose of this study is to investigate the wind energy potential and future wind conversion systems project in Turkey. The wind energy potential of various regions was investigated; and the exploitation of the wind energy in Turkey was discussed. Various regions were analyzed taking into account the wind data measured as hourly time series in the windy locations. The wind data used in this study were taken from Electrical Power Resources Survey and Development Administration (EIEI) for the year 2010. This paper reviews the assessment of wind energy in Turkey as of the end of May 2010 including wind energy applications. Turkey's total theoretically available potential for wind power is around 131,756.40 MW and sea wind power 17,393.20 MW annually, according to TUREB (TWEA). When Turkey has 1.5 MW nominal installed wind energy capacity in 1998, then this capacity has increased to 1522.20 MW in 2010. Wind power plant with a total capacity of 1522.20 MW will be commissioned 2166.65 MW in December 2011.     

Wind energy status and its assessment in Turkey

The increase in negative effects of fossil fuels on the environment has forced many countries, especially the developed ones, to use renewable energy sources. Currently the fastest developing energy source technology is wind energy. Because wind energy is renewable and environment friendly, systems that convert wind energy to electricity have developed rapidly. Wind energy is an alternative clear energy source compared to the fossil fuels that pollute the lower layer of atmosphere. Because wind energy will be used more and more in the future, its current potential, usage, and assessment in Turkey is the focus of this study.     

Wind power resource in the south-western region of Algeria

In this study, we present a statistical analysis of wind speeds at Tindouf in Algeria using Risoe National Laboratory's Wind Atlas Analysis and Application Program (WAsP). It requires information related to the sheltering obstacles, surface roughness changes and terrain height variations in order to calculate their effects on the wind. Wind data, consisting of hourly wind speed records over a 5-year period, 2002–2006, were obtained from SONELGAZ R&D Office; the average wind speed at a height of 17 m above ground level was found to range from 7.19 to 7.95 m/s. The Weibull distributions parameters (c and k) were found to vary between 8.0 and 8.9 m/s and 2.54–3.23, respectively, with average power density ranging from 318 to 458 W/m². The dominant wind directions and the frequency distributions were also determined.     

An offshore wind resource assessment study for New England

This paper gives a summary of ongoing work on the assessment of the wind energy resource off the coast of southern New England in the United States. This project was carried out to determine the potential for the near-term development of offshore wind energy projects in that region. The work summarized here consists of four aspects: (1) a review of existing offshore wind data, (2) the measurement of new data at an offshore site, (3) correlation and prediction of long-term data at a new offshore site by reference to a longer-term island site and (4) assessment of the overall coastal resource through the use of the MesoMap software.     

Wind power energy potential at the northeastern region of Saudi Arabia

In the present study the energy potential of wind for the Eastern Province of Saudi Arabia is investigated. A suitable Weibull distribution is generated based on the data obtained for a duration of one complete year at a costal location in northeastern Saudi Arabia. Comparison of this model is made with the Rayleigh distribution of wind power densities. Two horizontal-axis type of wind energy conversion systems which operate at fixed rpm are considered and a model of quadratic power output function is used. It is found that the error in using the Rayleigh approximation will be less than 10% of the full rated power density level.     

Wind energy potential of the region of Trás-os-Montes and Alto Douro, Portugal

The main objective of this paper is to present a study on the wind energy potential that is being developed in the Region of Trás-os-Montes and Alto Douro. This study started in July 1996 and will continue until the end of 1998.In order to have an adequate characterisation of the wind energy potential in this region it is necessary to measure the wind speed and direction in several places. At this moment the data are being collected at nine places. Due to lack of space, only four places will be addressed in this article.The Region of Douro and Alto Trás-os-Montes has an area of 12,235 km². It is located in the Northeast part of Portugal and represents 57.7% of the North Region.Other projects refer to this region as having great potential in the field of renewable energies. From the analysis of the collected data, it seems that wind energy in Marão and Alvão mountains is one of the most interesting renewable energies.     

Wind energy assessment in underdeveloped areas: The case of Natal-Kwazulu,South Africa

Knowledge of the wind characteristics of a region is germane to the determination of the economic viability of wind energy systems. Underdeveloped regions experience particular problems in this regard because not only is there a lack of observational data, but there are other difficulties encountered in the use of alternative techniques such as modelling or inferential techniques. Using Natal-K waZulu in South Africa, as a case study, this paper focuses on the attempts that have been made to overcome the problem of data inadequacy and considers their relevance to other underdeveloped regions.     

Wind energy resource map of Labrador

In this paper a wind energy resource map of Labrador, Canada is presented. Surface data collected from weather stations located throughout Labrador has been collected and extrapolated for height and surface condition adjustments. Several mesoscale wind maps have been obtained from the NCEP/NCAR and COADS databases, along with the generation of a couple of mesoscale wind maps with information from a NASA database. By combining the global data based maps and the modified ground data, a wind resource map indicating various classes of wind potential has been developed. This wind resource map indicates that wind speed is strongest in the southeast portion of Labrador in the Battle Harbor region. It has also been found that wind speed gradually decreases from the coastal regions the interior, in addition to a decreasing wind speed moving northward along the coast. Suggestions for future work and development of a complete wind map are also provided.     

Verification of wind resource study of a Scottish region

In a survey of the practical wind energy resource present in the Tayside Region of Scotland it was estimated that over 1500 km² of land is suitable for wind energy development in the Region after consideration of a range of physical, technical and institutional factors. Wind speed data for this survey was obtained from the Energy Technology Support Unit (ETSU) UK Wind Speed Data Package. To verify the wind speeds obtained from the ETSU package a representative sample of sites in and around the identified areas of potential in Tayside were modelled for mean annual wind speed using the Wind Atlas Analysis and Application Program (WA^sP). The wind speeds for the sites obtained from the WA^sP analysis were compared with those obtained from the ETSU UK Wind Speed Data Package and conclusions drawn as to the reliability of the Tayside wind energy survey and the general applicability of the ETSU package for broad wind energy resource assessment.     

Wind resource evaluation in São João do Cariri (SJC) - Paraiba, Brazil

In this study wind resources evaluation and wind energy assessment of the São João do Cariri (SJC) in Paraiba (PB) state situated in Brazilian northeast were analyzed during the period 2006/2009. Wind speed (V, m/s), wind direction and air temperature (T, °C) at 25 m and 50 m were collected from SONDA (Sistema de Organização Nacional de Dados Ambientais) meteorological station (38°N 7°E). The average wind speed and temperature for 25 m and 50 m were found 4.74 m/s, 24.46 °C and 5.31 m/s 24.25 °C respectively. The wind speed predominate direction found were SSE (165°) from both 25 m and 50 m heights. The wind speed distribution curve was obtained using the Weibull probability density function through the WAsP program, the values of Weibull shape (K), scale (A, m/s) and Weibull fit wind speed and power wind density (P, W/m²) were found 2.54, 5.4 m/s, 4.76 m/s and 103 W/m² for 25 m wind height measurements and 2.59, 6.0 m/s, 5.36 m/s and 145 W/m² for 50 m wind height measurements. The cost (€/kWh) from electrical wind energy obtained by wind turbine generation, at 25 m height, was found 0.046 by using 300 kW power rated wind turbine, in the best scenario, with an associate C_f of 14.5%.     

Wind power as a clean-energy contributor

Modern and sophisticated wind generators rated at up to 5 MW are in use on- and offshore in many European and other countries. They are made by a large and financially strong industry. In 2006, there were 1672 wind turbines in use in the UK, making up 2.5% of UK's electricity-generating capacity but producing under 1% of its electricity. The UK uses only about 1% of its wind power potential. Making use of more wind will involve developing new materials, new techniques and new mathematical modelling methods. The machines will need to be more reliable and robust, and will require a more flexible electricity system to feed into. In the longer term, there may be bigger machines of up to 10 MW, perhaps used in tandem with advanced electricity-storage technology. The growth of a European rather than UK power grid may allow renewables, including wind, to play a larger role.     

Wind resource assessment in Hormozgan province in Iran

In this study, statistical analysing is performed of wind data measured over a 10 min period based on the Weibull distribution function during one year at three heights carried out to determine the potential of wind in two locations in the Hormozgan province. According to the results, wind speed at 40 m height in Kish city ranged from 4.47 m/s in October to 6.69 m/s in March with average value of 5.32 m/s. However, for Jask city wind speed ranged from 3.4 m/s in January to 5.16 m/s in June with average value of 4.22 m/s. According to world classification of wind power, the wind power density is in class 2 for Kish site while for Jask site it is in class 1. Energy production of different wind turbines at different heights is determined. At the end, an economic evaluation was carried out to determine whether studied sites are suitable for development of small-scale wind turbines.     

葫芦岛沿海地区风资源分析

以葫芦岛市沿海三站(连山、兴城、绥中)2006年逐日逐时10min平均风速资料为例,计算几项风资源评估参数,结果表明:葫芦岛市沿海地区均属于风能可利用区;各站风资源月分布均呈现双峰型,第一个高峰为2、3、4、5月,第二个高峰在10月;目前葫芦岛市连山站的位置距海岸较远,但结果仍表明该地的风资源比兴城、绥中丰富。     

On the energy output estimation of wind turbines

During the operation of the German test field for small Wind Energy Conversion Systems (WECS) on the island of Pellworm five wind turbines were tested following recommendations of the International Energy Agency (IEA) expert group. Possible errors in the estimation of a tested wind turbine's total energy output at a potential installation site are investigated. Different wind speed frequency distributions (the measured one, the Rayleigh and the two-parameter Weibull distribution) are used to calculate the total energy output. The differences between the various distributions are mostly below 10 per cent. An improvement of the energy output estimate by a Weibull-instead of a Rayleigh distribution was not found. It is also shown that the use of the recommended 10 min averages or any other average overestimates the WECS' efficiency, up to 14 per cent on average depending on turbulence intensity. Wind power instead of wind speed is the appropriate parameter for power performance testing. Spectra of wind power and electrical power output show three areas of different correlation. A resistance length for wind turbines is shown to be dependent on the WECS operation status.     

Wind resource estimates with an analog ensemble approach

The wind resource and energy assessment is key to a wind farm development project. It allows for establishing the feasibility and economic viability of the project over the typical 10- to 30-year lifetime of a wind farm. Recent studies show that the accuracy of assessments has substantial room for improvement. Estimating and reducing uncertainty is important to secure financing and ensure the confidence of investors. A new method is proposed and demonstrated for the long-term estimation of the wind speeds at a target site, a key step in assessments. The method is based on ensembles made of analogs between a short-term observational record from the target site and a long-term historical record from a nearby site or an atmospheric model. It provides a high-quality long-term wind resource estimate, characterized by an accurate wind speed time series and frequency distribution. It also provides a reliable estimate of the uncertainty based on the actual physical processes determining the current atmospheric flow rather than the climatological wind distribution.