Dissertations / Theses on the topic 'Wind power Wind power Wind power'

As welfare and industry production gets higher the demand for electricity increases. Almost 90 % of the electricity generated in Brazil is from renewable sources, 85 % of the renewable energy comes from hydropower. Even if Latin America has a lot of potential for wind power their installed capacity in only 1 % of the worlds total installed capacity. Lately more and more wind turbines and wind farms are appearing along Brazil’s over 7500 kilometer long coastline.

Osorio wind farm is the largest wind farm in Latin America with a total installed effect of 150 MW. In the same state, Rio Grande du Sul, a farmer has shown interest for using his property for wind power. The purpose of this project is to lay the foundation for a deeper investigation about using Aguapé farm’s property for wind power and to show the future possibilities for Brazilian wind power.

The study is made on set in Brazil, divided into two parts, one theoretical research part and one practical part with a field trip to Aguapé farm.

In 2002 The Brazilian Government launched the PROINFA program, Alternative Sources for Energy Incentive. This year, 2009, the first wind power projects auctions are held to increase the generation from renewable electricity sources. Wind power in Brazil has the highest production when the level in the hydropower dams are at the lowest, which by integrating the electrical generating wiht wind power makes it possible to save water and avoiding lack of electricity.

Aguapé farm is located between one of the worlds biggest fresh water lakes, Lagao dos Patos, and the Atlantic Ocean. The location has very good wind potential, almost like offshore because of the closeness to large areas of water. Road connections to the farm are functional in good and dry weather conditions and not far away a 138kV power line passes through.

Surrounding neighbors are positive to wind power which makes it easier with problem caused by wind turbines, for example noise. About 40 kilometers from the farm Lagoa do Peixe National Park is located. Suggestion from the Aguapé owner is to stop with the rice production, which is disturbing the park’s natural hydrological system, to use the property for wind turbines instead.

Conclusions of the study shows that the potential for wind power at Aguapé farm is excellent and that wind power at Aguapé farm will help both the owner, Lagoa do Peixe National Park and Brazil to a better future.

n today's complex environment, clear and sustainable energy is needed to support society development. How to develop the sustainable energy is a core issue in China. Compared with traditional energy, Wind energy has many advantages such as non-fuel cost, less pollution. And wind energy has the absolute advantage that it is worldwide  available. In many courtiers, wind energy has become a major part of their plans for sustainable development. The primary goal of this paper is to analysis advantages and disadvantages of wind power in China and the development potential of wind power in China. In this paper the main methodology is using the information about wind power in China, which is including current situation, development stage, industry development stage, and combining the real case to analysis wind power development potential in China. There are six parts of this paper which are the overview of wind power in china; case description, analysis, conclusions, suggestion, development perspectives and imagination In the first part, the overview of wind power in china, the history of wind power in china, wind resource distribution, wind power development stages, the situation of some key regions, wind  power industry develop stage and also some policies about wind power of Chinese government are discussed. The goal of this part is giving some fundamental information about wind power in China. In the second part, a real case has been described, and according to this case, the construction cost of a wind power plant in China has been discussed. The advantages and disadvantages of wind power are also analyzed based on this case study, such as long-team return, environmental impact, and also some other problem analysis. After the analysis parts, there are the conclusion parts, those parts are about the development perspectives and imagination of wind power in China.

Urban wind power is not too developed yet. Only some years ago some countries started to be aware of the important source of energy that can be used within built-up areas. The U.K., the Netherland, France and Italy are already working on it, but they are still far away to reach models and equations that can be useful for any situation.

An urban turbine is going to be installed in Gävle, Sweden, in the roof of Polhemsskolan. Therefore, the wind velocity should be found out to come up with some results about the energy yield. But some problems appear when try to estimate that velocity.

To calculate this velocity three different ways can be used. They are Mathematical models, Measurements and Simulations or Computational Fluid Dynamic (CFD) calculations. All of them are quite difficult to use. Both mathematical models and CFD are very expensive as well as they need too much time to give a result. In addition, the area where the rotor is going to be installed is quite strange and therefore, it is even more difficult to put all the data in the mathematical model or CFD. On the other hand, measurements were almost impossible to carry on. The measurement of the wind velocity should be done during one year due to the big differences in that value depending on the season; winter, summer... depending on the weather; cloudy, sunny and so on. This thesis was only four months long and that was not enough to do it. It has been tried too to use any measurements that could be in any weather stations in the surrounding of Gävle. Nothing was found. No wind velocity measurements have been made in this area.

Hence, different books and reports about this topic have been study quite depth. Most of them from the U.K. Estimations and assumptions were taking into account to come up with different solutions to make easier in the future to calculate an energy yield when measurements will be done.

Nordel is the organisation for the Nordel synchronous system, held by the Nordic Transmission System Operators. In their work to harmonise the Nordic electricity markets they have agreed upon harmonising the Nordic balance management. This will imply three large changes, firstly the settlement of the production balance will be done by a 2-price settlement, (instead of the 1-price settlement in Norway), and secondly there will be a new intraday market for settling the balances after 12- 36 hours and before operating time. Finally the Balance Responsible Parties will have to take their share of the costs for operating the reserves. Paying a penalty through paying more in the regulating market than in the spot market is meant as an incentive for the market to maintain their power balance. This will help the system operator reduce their need to contract and use reserve power and consequently reducing total costs. These new regulations will reduce the net income from producers of wind and other power plants that cannot control their production, like run of river hydro power plants. The market for electricity is currently divided into three consecutive markets. Nord Pool fixes the price the day ahead of operation, followed by the intra-day market Elbas (not in Norway), where power is traded up to one hour before operation, and lastly, the balancing market which helps maintain the balance in the operational hour and settles the costs afterwards. The costs of balancing wind power production in the balancing market (1- price and 2-price) are analysed. Wind series from three Norwegian wind parks have been nominated to the spot market and the deviation settled in the balancing market, by the 1-price settlement as reference and the 2-price settlement. The nominations have been done to three different years; 2004, 2005 and 2006 in Norway, and park A is nominated to 2006 in Sweden and Denmark. It is assumed that the wind power production and the spot and regulating prices are independent of each-other. The resulting change in income with deviation compared to making no prediction error for a 100 MW wind farm is presented. The highest loss compared to making no prediction error is when making a common bid for park A and B (11 677 000 in 2006), followed by the common bid for park A+B with wind series from the second year(8 555 000 in 2006) and park A (7 733 000 in 2006) in Denmark. One of the best ways to integrate large amounts of wind energy is to improve the forecasting methods. In that way the production planning will go easier, and deviations and corresponding costs are reduced. The savings achieved by introducing a prediction tool equals 3 523 000, 4 122 000, 4 921 000 compared to the base case of the corresponding MAEs equal to 39%,30% and 18%. The smoothing effect emerges when nominating geographically spread parks in a group(Holtinnen, 2005). Three parks, that are separated by several 100 km, are nominated by a single BRP. The resulting costs compared to separate nominations are reduced by 31,5 %. This result requires that the wind farms is in the same price area, which they in this case does not. The result is interesting nevertheless as Nordel continuously seek to to invest in transmission capacity in order to create an efficient Nordic market for electricity. The Elbas market is mainly a market to reduce risks. If a deviation should occur it is likely that the best way for balancing it, will be in the regulating market. This is due to the principle of the merit order, which implies that the cheapest regulating power offered is used first. By comparing the data there were quite a few hours were the middle Elbas price was higher than the regulating price. In this sense it might have been wise to wait, although the lower regulating price may also have been a result of more energy being settled in the Elbas market, reducing the volume needed to be settled in the regulating market, and accordingly reducing the price.

QC 20121017