Assessment of the wind energy resource in the South Banat region,Serbia

The wind energy resources in the South Banat region are analyzed. The analyses have been carried out on the basis of the wind parameter measurements at the site of village Bavani?te. The data were collected at the heights of 10, 40, 50, and 60 m during 2009 and 2010. The statistical analyses of the measured data covered the wind speed and direction, average wind speed and power density, and Weibull distribution parameters (c and k). On the basis of the determined standard deviation of the wind speed, an analysis is performed of the wind turbulence at the measurement site. Based on the method of sum of least squares, a mathematical method for estimation of the vertical wind speed profile has been developed. By applying this model, an analysis of the vertical wind speed profile at the measurement site has been performed. On the basis of the available measurement data, the electrical energy production in the targeted region by three test models of the wind turbines has been estimated. The obtained results show that the region of South Banat possesses good wind energy potential and that it represents a promising region for development of the projects of wind farms.     

老爷庙风电场风能资源评价

本文利用老爷庙风电场2001年4月～2002年4月逐时平均风向、风速资料，对老爷庙风电场的风能资源各参数进行了计算和分析，并与附近星子气象站累年或同期资料进行比较，对老爷庙风电场风能资源进行评价。     

Current situation of the wind energy use and investigation of wind resources in the coastal region of the Baltic Sea in Lithuania

In this paper current situation and future prospects of the use of wind energy and wind power resource assessment experience in Lithuania are reviewed. Installed wind power capacity has increased from 6.4 to 54.84 MW in Lithuania in 2006. During last five years wind power resource assessment was carried out, wind measurements were generalized and on the basis of obtained results Lithuanian wind resources map was developed. Measurements have shown that the most suitable region for building WT of big capacity is the 10 km wide coastal strip in Lithuania. The suitability of several existing WT sites was evaluated by the power output coefficient, which describes the efficiency of installed WT. The aim of this work is to present the current situation of wind energy development and the results of the investigation of wind climate conditions in the coastal region of the Baltic Sea in Lithuania.     

福建省漳州风能资源开发浅谈

本文介绍漳州风能资源概况 ,分析其开发利用特点 ,根据该地区能源资源情况 ,提出风力发电是该地区今后最有开发前途的能源 ,并对开发前景作出初略展望。文中最后对漳州风电建设提出建议。     

On the wind energy resource of Nigeria

An analysis of wind data for the ten-year period 1979–1988 in Nigeria is presented. Surface and upper winds were considered as well as maximum gusts. The need for the provision of new data stations in order to enable a complete and reliable assessment of the overall wind power potential of the country is identified and specific locations suggested. Socioeconomic and political factors affecting the development of wind energy development in Nigeria are also discussed.     

Monitoring of energy supply sustainability in the Baltic Sea region

BASREC (Baltic Sea Region Energy Cooperation) was established in 1999. It brings together the 11 countries around the Baltic Sea (Denmark, Estonia, Finland, Germany, Iceland, Latvia, Lithuania, Norway, Poland, Russia, and Sweden) and the European Commission. BASREC offers a unique regional forum, in which policies and projects of regional and broader significance can be prepared and implemented. Five working groups within BASREC, for Bioenergy, Climate Change, Electricity, Energy Efficiency and Gas, were active in the period 2003–2005. These working groups quite well represent the priorities of regional energy cooperation in the Baltic Sea region. Since the EU participates actively in BASREC activities, this kind of cooperation can provide for the EU sustainable energy policy promotion in non-member countries, such as Russia, and can help sharing the experience between old and new member states as well as facilitate the know how transfer from such highly developed and advanced in sustainable development countries as Iceland and Norway to less developed ones.     

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.     

尖山子风电场风能资源评价

根据尖山子风电场1999年7月～2000年6月测风资料，对风电场的风能资源各参数进行了详细地计算和分析，从而得出尖山子地区风能资源丰富，适宜建设大型风电场，具有较大的开发利用价值的结论。     

风能资源评估方法的分析及应用

阐述了风电场选址中的风能资源的评估程序,介绍和分析了风能资源评估技术方法和特点,基于工程实测数据,用国际通用的风资源评估软件WASP8．3分析和评估了相关风能要素。     

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.     

Data efficient measure-correlate-predict approaches to wind resource assessment for small-scale wind energy

The feasibility of predicting the long-term wind resource at 22 UK sites using a measure-correlate-predict (MCP) approach based on just three months onsite wind speed measurements has been investigated. Three regression based techniques were compared in terms of their ability to predict the wind resource at a target site based on measurements at a nearby reference site. The accuracy of the predicted parameters of mean wind speed, mean wind power density, standard deviation of wind speeds and the Weibull shape factor was assessed, and their associated error distributions were investigated, using long-term measurements recorded over a period of 10 years. For each site, 120 wind resource predictions covering the entire data period were obtained using a sliding window approach to account for inter-annual and seasonal variations. Both the magnitude and sign of the prediction errors were found to be strongly dependent on the season used for onsite measurements. Averaged across 22 sites and all seasons, the best performing MCP approach resulted in mean absolute and percentage errors in the mean wind speed of 0.21 ms⁻¹ and 4.8% respectively, and in the mean wind power density of 11 Wm⁻² and 14%. The average errors were reduced to 3.6% in the mean wind speed and 10% in the mean wind power density when using the optimum season for onsite wind measurements. These values were shown to be a large improvement on the predictions obtained using an established semi-empirical model based on boundary layer scaling. The results indicate that the MCP approaches applied to very short onsite measurement periods have the potential to be a valuable addition to the wind resource assessment toolkit for small-scale wind developers.     

崇明岛风力资源分析与评价

根据风能密度、风能频率分布、风向频率等气象参数,对上海崇明岛风力资源状况和风力发电前景进行了分析与评价.结果显示,崇明岛50m高度处的年平均风速为7.0m/s.年平均风能密度为339.1W/m2,年有效风速小时数为8418h,年可利用风能小时数为2208h,主风向较为稳定,风能分布较为集中.分析表明,崇明岛风力资源丰富,达到开发标准,适宜发展风力发电.文章为开发崇明风力资源提供了有价值的参考.     

青海省风能及太阳能资源测试

风能资源是重要的可再生能源,其利用完全依赖于风能资源的数据。UNDP／GEF加速中国可再生能源商业化能力发展项目,在青海开展了风能及太阳能资源实测项目,以进一步促进青海的风能利用。文章介绍了此项目的实施情况,对测得的数据进行了处理,对测试点的风力资源情况做了初步分析。     

Simulating climate change and its effects on the wind energy resource of Ireland

We consider the impact of climate change on the wind energy resource of Ireland using an ensemble of Regional Climate Model (RCM) simulations. The RCM dynamically downscales the coarse information provided by the Global Climate Models (GCMs) and provides high resolution information, on a subdomain covering Ireland. The RCM used in this work is the Rossby Center's RCM (RCA3). The RCA3 model is evaluated by performing simulations of the past Irish climate, driven by European Center for Medium‐Range Weather Forecasts ERA‐40 data, and by comparing the output to observations. Results confirm that the output of the RCA3 model exhibits reasonable and realistic features as documented in the historical wind data record. For the investigation of the influence of the future climate under different climate scenarios, the Max Plank Institute's GCM, European Center Hamburg Model, is used to drive the RCA3 model. Simulations are run for a control period 1961‐2000 and future period 2021‐2060. The future climate was simulated using the four Intergovernmental Panel on Climate Change emission scenarios A1B, A2, B1 and B2. The results for the downscaled simulations show a substantial overall increase in the energy content of the wind for the future winter months and a decrease during the summer months. The projected changes for summer and winter were found to be statistically significant over most of Ireland. However, the projected changes should be viewed with caution since the climate change signal is of similar magnitude to the variability of the evaluation and control simulations. Copyright © 2011 John Wiley & Sons, Ltd.     

Wind energy resource,wind energy conversion system modelling and integration: a survey

In this paper, critical review of various work done in the areas of wind energy resource, modelling of wind energy conversion system (WECS) and issues regarding wind power integration into the grid are presented with the aim of examining the development, progress, achievements and direction of research. Some of the findings show that every site is unique; therefore, no generic conclusion can be drawn with regards to wind characteristics and the wind power potential of locations. The study also reveals that there is no single model of WECS. The model to be adopted will depend on the problem to be solved. This paper is useful in providing background details for wind turbine designers, researchers and practical engineers who are new in the field of wind energy.     

佳木斯风能资源形成分布探讨

风能资源是清洁的可再生能源,风能发电是新能源领域中技术最成熟、最具规模开发条件和商业化发展前景的发电方式之一,也是目前清洁能源中利用最方便、最快捷、最少投入的可再生能源之一。已经成为世界能源可持续发展战略的重要组成部分。因此本文从风的形成原因、影响风速大小的因素、佳木斯风能资源的分布状况和可建风电规模（发展目标）等方面予以阐述,为佳木斯的风电发展提供理论参考根据。     

Sustainable energy in Baltic States

Integration of New Member States to the European Union has created a new situation in the frame of implementation of the Lisbon strategy and EU Sustainable Development. The closure of Ignalina NPP is the biggest challenge to the energy sector development of the Baltic States. The Baltic States have quite limited own energy resources and in the Accession agreement with the EU Lithuania, Latvia and Estonia have verified their targets to increase the share of electricity produced from renewable energy sources (RES-E) by the year 2010. A wider use of renewable energy and increase of energy efficiency can make a valuable contribution to meeting the targets of sustainable development. The article presents a detailed overview of the present policies and measures implemented in the Baltic States, aiming to support the use of RES and the increase of energy efficiency. The review of possibilities to use the EU Structural Funds (SF) for the implementation of sustainable energy projects in the Baltic States was performed.The use of regional social–economic–environmental indicators is the main key to integrate sustainable energy development at the program deployment level. The indicators to be used should describe the contribution of energy programs to the sustainable development, medium- and long-term trends and inter-relationship between them and the typical energy indicators (saved toe, improved energy efficiency, percentage of RES). Municipalities may play a considerable role by promoting sustainable energy since local authorities are fulfilling their functions in the energy sector via a number of roles. The Netherlands’ example shows that municipalities may act as facilitators by implementing national environmental policy and increasing energy efficiency in an integral part of these activities. The guidelines for Lithuanian local sustainable energy development using the SF co-financing have been presented.     

Investigation of wind characteristics and assessment of wind energy potential for Waterloo region,Canada

Wind energy becomes more and more attractive as one of the clean renewable energy resources. Knowledge of the wind characteristics is of great importance in the exploitation of wind energy resources for a site. It is essential in designing or selecting a wind energy conversion system for any application. This study examines the wind characteristics for the Waterloo region in Canada based on a data source measured at an elevation 10 m above the ground level over a 5-year period (1999–2003) with the emphasis on the suitability for wind energy technology applications. Characteristics such as annual, seasonal, monthly and diurnal wind speed variations and wind direction variations are examined. Wind speed data reveal that the windy months in Waterloo are from November to April, defined as the Cold Season in this study, with February being the windiest month. It is helpful that the high heating demand in the Cold Season coincides with the windy season. Analysis shows that the day time is the windy time, with 2 p.m. in the afternoon being the windiest moment. Moreover, a model derived from the maximum entropy principle (MEP) is applied to determine the diurnal, monthly, seasonal and yearly wind speed frequency distributions, and the corresponding Lagrangian parameters are determined. Based on these wind speed distributions, this study quantifies the available wind energy potential to provide practical information for the application of wind energy in this area. The yearly average wind power density is 105 W/m². The day and night time wind power density in the Cold Season is 180 and 111 W/m², respectively.     

Simulating the future wind energy resource of Ireland using the COSMO‐CLM model

We consider the impact of climate change on the wind energy resource of Ireland using an ensemble of regional climate model (RCM) simulations. The RCM used in this work is the Consortium for Small‐scale Modelling–climate limited‐area modelling (COSMO‐CLM) model. The COSMO‐CLM model was evaluated by performing simulations of the past Irish climate, driven by European Centre for Medium‐Range Weather Forecasts ERA‐40 data, and comparing the output with observations. For the investigation of the influence of the future climate under different climate scenarios, the Max Planck Institute's global climate model, ECHAM5, was used to drive the COSMO‐CLM model. Simulations are run for a control period 1961–2000 and future period 2021–2060. To add to the number of ensemble members, the control and future simulations were driven by different realizations of the ECHAM5 data. The future climate was simulated using the Intergovernmental Panel on Climate Change emission scenarios, A1B and B1. The research was undertaken to consolidate, and as a continuation of, similar research using the Rossby Centre's RCA3 RCM to investigate the effects of climate change on the future wind energy resource of Ireland. The COSMO‐CLM projections outlined in this study agree with the RCA3 projections, with both showing substantial increases in 60 m wind speed over Ireland during winter and decreases during summer. The projected changes of both studies were found to be statistically significant over most of Ireland. The agreement of the COSMO‐CLM and RCA3 simulation results increases our confidence in the robustness of the projections. Copyright © 2012 John Wiley & Sons, Ltd.