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1

Lu, X., M. B. McElroy, and J. Kiviluoma. "Global potential for wind-generated electricity." Proceedings of the National Academy of Sciences 106, no. 27 (June 22, 2009): 10933–38. http://dx.doi.org/10.1073/pnas.0904101106.

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2

Vosper, Fred C., and R. Nolan Clark. "Autonomous Wind-Generated Electricity for Induction Motors." Journal of Solar Energy Engineering 110, no. 3 (August 1, 1988): 198–201. http://dx.doi.org/10.1115/1.3268257.

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A wind turbine with variable-voltage, variable-frequency electrical output was used to power resistive loads and induction motors in an autonomous system. The AC system was selected because AC motors, in multiple kilowatt sizes, can be more practical than DC motors. A wind turbine which produces electricity has a lower overall efficiency than a system producing mechanical power but offers more flexibility in adapting to varying loads and in locating the wind turbine near the load. A permanent magnet alternator designed to operate with a rotor speed from 70 to 150 r/min was first operated in the laboratory. The frequency of the output varied from 30 to 65 Hz, while the voltage changed from 85 to 218 V, resulting in voltage to frequency ratios (V/f) from 2.6 to 3.3 with various loads. The alternator, with a maximum rated output of 9 kW, provided power to resistive load or induction motor loads. The tests revealed that standard three-phase, 240 V, 60 Hz, AC induction motors will operate with an input of 85 V and 30 Hz. A motor temperature rise of 40° C above ambient was not exceeded when power was supplied by the alternator to a 7.6 kW motor. System efficiencies were nearly equivalent to those obtained with utility power, even though the V/f was below that calculated from the motor’s nameplate. The wind energy conversion system (WECS) was then operated in wind-speeds of 3.5 m/s or greater. This WECS was capable of providing power to satisfactorily operate induction motors in an autonomous system.
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3

F. C. Vosper and R. N. Clark. "Water Pumping with Autonomous Wind-Generated Electricity." Transactions of the ASAE 28, no. 4 (1985): 1305–8. http://dx.doi.org/10.13031/2013.32429.

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4

McElroy, M. B., X. Lu, C. P. Nielsen, and Y. Wang. "Potential for Wind-Generated Electricity in China." Science 325, no. 5946 (September 10, 2009): 1378–80. http://dx.doi.org/10.1126/science.1175706.

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5

Gunda, L., E. Chikuni, H. Tazvinga, and J. Mudare. "Estimating wind power generation capacity in Zimbabwe using vertical wind profile extrapolation techniques: A case study." Journal of Energy in Southern Africa 32, no. 1 (February 22, 2021): 14–26. http://dx.doi.org/10.17159/2413-3051/2021/v32i1a8205.

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Only 40% of Zimbabwe’s population has access to electricity. The greater proportion of the power is generated from thermal stations, with some from hydro and solar energy sources. However, there is little investment in the use of wind for electricity generation except for small installations in the Eastern Highlands, as Zimbabwe generally has wind speeds which are too low to be utilised for electricity generation. This paper presents the use of vertical wind profile extrapolation methods to determine the potential of generating electricity from wind at different hub heights in Zimbabwe, using the Hellman and exponential laws to estimate wind speeds. The estimated wind speeds are used to determine the potential of generating electricity from wind. Mangwe district in Matabeleland South province of Zimbabwe was used as a test site. Online weather datasets were used to estimate the wind speeds. The investigation shows that a 2.5kW wind turbine installation in Mangwe can generate more than 3MWh of energy per annum at hub heights above 40m, which is enough to supply power to a typical Zimbabwean rural village. This result will encourage investment in the use of wind to generate electricity in Zimbabwe. Highlights Wind power utilisation is low in Zimbabwe. Vertical wind profile is estimated using extrapolation methods. Online weather data for soil and water analysis tool was used. Electricity can viably be generated from wind in Zimbabwe.
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6

Cullen, Joseph. "Measuring the Environmental Benefits of Wind-Generated Electricity." American Economic Journal: Economic Policy 5, no. 4 (November 1, 2013): 107–33. http://dx.doi.org/10.1257/pol.5.4.107.

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Production subsidies for renewable energy, such as solar or wind power, are rationalized by their environmental benefits. Subsidizing these projects allows clean, renewable technologies to produce electricity that otherwise would have been produced by dirtier, fossil-fuel power plants. In this paper, I quantify the emissions offset by wind power for a large electricity grid in Texas using the randomness inherent in wind power availability. When accounting for dynamics in the production process, the results indicate that only for high estimates of the social costs of pollution does the value of emissions offset by wind power exceed cost of renewable energy subsidies. (JEL L94, L98, Q42, Q48, Q51, Q53, Q54)
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7

Spear, Brian. "Wind generated electricity – We have been here before." World Patent Information 36 (March 2014): 36–39. http://dx.doi.org/10.1016/j.wpi.2013.11.004.

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8

Oree, Vishwamitra, and Arvind Rajoo. "The Potential for Wind-Generated Electricity in Mauritius." International Journal of Green Energy 12, no. 8 (July 3, 2014): 821–31. http://dx.doi.org/10.1080/15435075.2014.888657.

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9

Valenti, Michael. "Proving Wind Power in New England." Mechanical Engineering 120, no. 08 (August 1, 1998): 79–80. http://dx.doi.org/10.1115/1.1998-aug-9.

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This article discusses that despite of the challenging winter weather conditions the largest windmill-based power plant located on East of Mississippi has been exceeding performance expectations. Green Mountain Power selected the Searsburg site because of its powerful and persistent winds and its proximity to existing access roads and transmission lines. The stronger winter winds enable the plant to generate more electricity at the time it is most needed. Indeed, the wind power plant at Searsburg, the largest east of the Mississippi River, is expected to have a positive effect on the environment by reducing the need to burn fossil fuels in other parts of New England. Green Mountain Power estimates that the electricity generated by the Searsburg plant will eliminate approximately 22 million pounds of air emissions per year that would have been generated by adding fossil fuel-burning capacity.
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10

Awg. Osman, Dygku Asmanissa, Norzanah Rosmin, Nor Shahida Hasan, Baharruddin Ishak, Aede Hatib Mustaamal@Jamal, and Mariyati Marzuki. "Savonius Wind Turbine Performances on Wind Concentrator." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 1 (March 1, 2017): 376. http://dx.doi.org/10.11591/ijpeds.v8.i1.pp376-383.

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The air streams from the outlet of an air compressor can be used to generate electricity. For instance, if a micro-sized Vertical-Axis Wind-Turbine (VAWT) is installed towards the airflow, some amount of electricity can be generated before being stored in a battery bank. The research’s objectives are to design, fabricate and analyze the performance of Helical Savonius VAWT blade rotors, which is tested with and without using a wind concentrator. The Helical Savonius VAWT is tested at 0 cm without the concentrator, whereas the blade rotor is tested at concave-blade position when using the concentrator. The blade and the wind concentrator designs were based on the dimensions and the constant airflow of the air compressor. The findings suggested that the blade produced its best performance when tested using wind concentrator at concave-blade position in terms of angular speed (<em>ω</em>), tip speed ratio (<em>TSR</em>) and the generated electrical power (<em>P</em><em><sub>E</sub></em>). The findings concluded that the addition of wind concentrator increases the airflow which then provided better performances on the blades.
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11

Hughes, Larry. "Meeting residential space heating demand with wind-generated electricity." Renewable Energy 35, no. 8 (August 2010): 1765–72. http://dx.doi.org/10.1016/j.renene.2009.11.014.

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12

Bekirov, E. A., S. N. Voskresenskaya, and V. V. Potenko. "ANALYSIS OF TECHNICAL AND ECONOMIC EFFICIENCY OF OPERATION OF THE WIND POWER PLANTS IN CRIMEA." Construction and industrial safety, no. 20(72) (2021): 31–41. http://dx.doi.org/10.37279/2413-1873-2021-20-31-41.

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The article provides data on the generation and consumption of electricity by a wind farm. To maintain the operability of the wind farm, it is connected to the general grid of the power system, not only for the output of generated electricity, but also for the consumption of the necessary electricity to start the operation of wind turbines. Electricity generation, payback and net profit of a wind power plant of 12 wind turbines were estimated. Subject of study. Wind power plants and their efficiency. Materials and methods. The theoretical and methodological basis is the works of domestic and foreign scientists in the field of wind energy. In the work, analytical research methods were used, including predictive calculation of the annual energy production of wind turbines. Conclusions. The instability of electricity generation using renewable energy generating units is a serious problem that affects the cost of energy produced. According to the calculations, in 14 years, provided the electricity price is equal to 1.8 rubles, the power plant will recoup the investment and begin to generate net income. The correlation coefficient was determined, which was 0.94.
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13

Yohana, Eflita, MSK Tony Suryo U, Binawan Luhung, Mohamad Julian Reza, and M. Badruz Zaman. "Experimental Study of Wind Booster Addition for Savonius Vertical Wind Turbine of Two Blades Variations Using Low Wind Speed." E3S Web of Conferences 125 (2019): 14003. http://dx.doi.org/10.1051/e3sconf/201912514003.

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The Wind turbine is a tool used in Wind Energy Conversion System (WECS). The wind turbine produces electricity by converting wind energy into kinetic energy and spinning to produce electricity. Vertical Axis Wind Turbine (VAWT) is designed to produce electricity from winds at low speeds. Vertical wind turbines have 2 types, they are wind turbine Savonius and Darrieus. This research is to know the effect of addition wind booster to Savonius vertical wind turbine with the variation 2 blades and 3 blades. Calculation the power generated by wind turbine using energy analysis method using the concept of the first law of thermodynamics. The result obtained is the highest value of blade power in Savonius wind turbine without wind booster (16.5 ± 1.9) W at wind speed 7 m/s with a tip speed ratio of 1.00 ± 0.01. While wind turbine Savonius with wind booster has the highest power (26.3 ± 1.6) W when the wind speed of 7 m/s with a tip speed ratio of 1.26 ± 0.01. The average value of vertical wind turbine power increases Savonius after wind booster use of 56%.
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14

Al-Juboori, Salloom A., and Rasha Alrawashdeh. "Wind Power Generation Utilizing a Special Buildings Layout Design to Enhance the Wind Speed." European Scientific Journal, ESJ 14, no. 6 (February 28, 2018): 303. http://dx.doi.org/10.19044/esj.2018.v14n6p303.

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There is a high growing interest for the use of wind power utilizing the building's layout design. The main objective of this work is to accelerate the wind speed before reaching the turbines by using spatial design of twin's buildings; this will generate more electric power. The variables which are affecting the wind speed directed to turbines are the angle between the twin buildings, the height and the length of buildings. The results have shown that the wind speed was accelerated in the intervening space between the buildings irrespective of the distance between the walls of adjacent buildings. Nine wind turbines were installed in three rows and three columns on the wall between the two buildings to generate the electricity. These turbines were located at the top of the wall to face higher wind speed because wind speed depends on height. Also the results showed that the wind speed was accelerated by about five times for the building layout design of the present study; while the generated power was about 125 times in comparison with the buildings do not have a spatial layout design (i.e. they do not enclose an angle between them). Finally the average power generated for the present work buildings dimensions with normal consumption of electricity will cover about 13% of the total normal consumption demand of the buildings (the power generated of the present work buildings layout design is about 0.23 GWh/year).
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15

Oh, JeongRim, JongJin Park, ChangSoo Ok, ChungHun Ha, and Hong-Bae Jun. "A Study on the Wind Power Forecasting Model Using Transfer Learning Approach." Electronics 11, no. 24 (December 10, 2022): 4125. http://dx.doi.org/10.3390/electronics11244125.

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Recently, wind power plants that generate wind energy with electricity are attracting a lot of attention thanks to their smaller installation area and cheaper power generation costs. In wind power generation, it is important to predict the amount of generated electricity because the power system would be unstable due to uncertainty in supply. However, it is difficult to accurately predict the amount of wind power generation because the power varies due to several causes, such as wind speed, wind direction, temperature, etc. In this study, we deal with a mid-term (one day ahead) wind power forecasting problem with a data-driven approach. In particular, it is intended to solve the problem of a newly completed wind power generator that makes it very difficult to predict the amount of electricity generated due to the lack of data on past power generation. To this end, a deep learning based transfer learning model was proposed and compared with other models, such as a deep learning model without transfer learning and Light Gradient Boosting Machine (LGBM). As per the experimental results, when the proposed transfer learning model was applied to a similar wind power complex in the same region, it was confirmed that the low predictive performance of the newly constructed generator could be supplemented.
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16

Abdulai, Nurideen, Leslie Donkor, and Dennis Asare. "Application of GIS and Remote Sensing in Determining Trends in Wind Energy Potential and Its Uses for Designing Development Strategies in Ghana." Applied Research Journal of Environmental Engineering 3, no. 3 (December 31, 2020): 1–10. http://dx.doi.org/10.47721/arjee202003021.

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This paper is purported to determine the wind energy potential of Ghana for 2010 and 2018 using GIS and RS technologies and how the result could be used to develop a country strategy that benefits the ordinary Ghanaian. In doing this, two different wind potential maps of Ghana were generated for 2010 and 2018 using data from Ghana meteorological Unit and Windfinder respectively. Moreover, the Inverse Distance Weighted interpolation of winds peed was used to generate the maps at different hub heights for 2010 and 2018. The results indicate that, the 2010 wind map showed wind speed is highest (8m/s) in the southernmost part of Ghana (i.e. Coastal part of Greater Accra and Volta Regions) at 10m high while the wind map of 2018 showed that wind speed is highest (9m/s) in the Upper East Region of Ghana at 10m high. As wind energy is untapped in Ghana, we advised that Government should further explore the results for the Upper East Region in ascertaining that it was not influenced by Trade winds and apply to different sectors of the economy through appropriate institutional regulations. The wind energy in Northern Ghana should be dedicated to mechanized agriculture, augmenting electricity tariffs for the poor in those areas and extending electricity to rural communities that do not have access to the national grid under the rural electrification project. Meanwhile, the wind energy generated from the southern part of Ghana should be dedicated mostly to commercial and industrial activities. Keywords: Wind Energy Potential, mechanized agriculture, industrial application, GIS, RS
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17

Abdulai, Nurideen, Leslie Donkor, and Dennis Asare. "Application of GIS and Remote Sensing in Determining Trends in Wind Energy Potential and Its Uses for Designing Development Strategies in Ghana." Applied Research Journal of Environmental Engineering 3, no. 3 (December 31, 2020): 1–10. http://dx.doi.org/10.47721/arjee20200303021.

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This paper is purported to determine the wind energy potential of Ghana for 2010 and 2018 using GIS and RS technologies and how the result could be used to develop a country strategy that benefits the ordinary Ghanaian. In doing this, two different wind potential maps of Ghana were generated for 2010 and 2018 using data from Ghana meteorological Unit and Windfinder respectively. Moreover, the Inverse Distance Weighted interpolation of winds peed was used to generate the maps at different hub heights for 2010 and 2018. The results indicate that, the 2010 wind map showed wind speed is highest (8m/s) in the southernmost part of Ghana (i.e. Coastal part of Greater Accra and Volta Regions) at 10m high while the wind map of 2018 showed that wind speed is highest (9m/s) in the Upper East Region of Ghana at 10m high. As wind energy is untapped in Ghana, we advised that Government should further explore the results for the Upper East Region in ascertaining that it was not influenced by Trade winds and apply to different sectors of the economy through appropriate institutional regulations. The wind energy in Northern Ghana should be dedicated to mechanized agriculture, augmenting electricity tariffs for the poor in those areas and extending electricity to rural communities that do not have access to the national grid under the rural electrification project. Meanwhile, the wind energy generated from the southern part of Ghana should be dedicated mostly to commercial and industrial activities. Keywords: Wind Energy Potential, mechanized agriculture, industrial application, GIS, RS
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18

Salman, Salman. "Development of a Prototype Renewable Energy System and its Modification to Suit Middle East Applications." Iraqi Journal for Electrical and Electronic Engineering 7, no. 1 (June 1, 2011): 55–59. http://dx.doi.org/10.37917/ijeee.7.1.10.

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This paper concerns with exploitation of renewable energy sources for meeting energy requirements of remote locations. It presents an investigation which is based on a practical project that was executed in collaboration between academia and industry. It involves design and installation of a prototype integrated renewable energy system which consists of two 15 kW wind turbines, electrolyser, fuel cell system (FCS) and the associated control equipment. It was installed at the furthest island of Shetland, North of Scotland, U.K. The philosophy used in designing this system is summarised as follows: During times of high wind, the electricity generated by wind turbines is normally greater than that required by site electrical load. The excessive amount of generated electricity is stored into Hydrogen by utilising an electrolyser which is then used to generate the deficient electric power by the FCS at times of low wind.
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19

Reimers, Britta, Burcu Özdirik, and Martin Kaltschmitt. "Greenhouse gas emissions from electricity generated by offshore wind farms." Renewable Energy 72 (December 2014): 428–38. http://dx.doi.org/10.1016/j.renene.2014.07.023.

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20

BOSLEY, P. B., and K. W. BOSLEY. "Risks and Benefits of Wind Generated Electricity: Facts and Perceptions." Energy Sources 14, no. 1 (January 1992): 1–9. http://dx.doi.org/10.1080/00908319208908704.

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21

Kaldellis, J. K., K. A. Kavadias, D. E. Papantonis, and G. S. Stavrakakis. "Maximizing Wind Generated Electricity with Hydro Storage: Case Study Crete." Wind Engineering 30, no. 1 (January 2006): 73–92. http://dx.doi.org/10.1260/030952406777641414.

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22

Genç, Cansev, Abdulla Sakalli, Ivaylo Stoyanov, Teodor Iliev, Grigor Mihaylov, and Ivan Beloev. "Development of Wind Energy and the Installed Wind Power Plants in Turkey." E3S Web of Conferences 207 (2020): 02013. http://dx.doi.org/10.1051/e3sconf/202020702013.

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This article analyses the development of wind energy in Turkey - the number and capacity of installed wind generators, as well as the generated electricity. It was established that the number of wind power plants is 99 with a total installed capacity of 3933 MW, and the amount of electricity produced by wind power plants is 17909.3 GWh / year. Turkey has been shown to have great potential for developing electricity generation from offshore wind farms. The increase in the number of offshore wind turbines in the coming years is expected to increase the relative share of renewable sources in the country’s energy mix, to contribute to the technological and industrial development of the regions, to produce electricity from renewable and environmentally friendly sources and to reduce the country’s energy dependence. It has been established that there are appropriate conditions in Turkey for the development of wind energy and preconditions have been created for achieving the target for promoting the use of renewable energy sources by 2023.
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23

Rochman, Sagita, and Mochamad Taufiq Irvan Efendy. "Arduino Based Design of Horizontal Wind Power Generator for Coastal Road Lighting." BEST : Journal of Applied Electrical, Science, & Technology 3, no. 1 (March 15, 2021): 30–33. http://dx.doi.org/10.36456/best.vol3.no1.3540.

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Increasing energy demand, depleting fossil fuel reserves, and environmental concerns have put renewable energy sources in the spotlight in Indonesia. Wind energy in particular, which has received a lot of attention because it is inexhaustible and friendly to the environment. The main problem of the two generating systems is not continuously available. Wind turbines are the main medium used to convert wind energy into electrical energy. A good wind turbine design will determine the performance of a wind power plant (PLTB). This tool is to control the electric power generated from the wind generator, the electric power generated from the generator will be measured the current and voltage. The way the tool works when the generator wheel rotates, the generator will produce electrical power which has been connected to the charger controller before the electric power is stored in the battery. The use of electric power from the battery will be converted using an inverter to convert the DC current to AC. This research was conducted on wind turbine generators in the use of coastal street lighting as objects to generate electric power in order to reduce the need for PLN electricity. This research was conducted on wind turbine generators in the use of coastal street lighting as objects to generate electric power in order to reduce the need for PLN electricity. The generator will generate electrical power which has been connected to the charger controller before the electric power is stored in the battery. The use of electric power from the battery will be converted using an inverter to convert the DC current to AC. This research was conducted on wind turbine generators in the use of coastal street lighting as objects to generate electric power in order to reduce the need for PLN electricity
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24

Zhou, Y., W.X.Wu, and G. X. Liu. "Assessment of Onshore Wind Energy Resource and Wind-Generated Electricity Potential in Jiangsu, China." Energy Procedia 5 (2011): 418–22. http://dx.doi.org/10.1016/j.egypro.2011.03.072.

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25

Bharathi, S., G. Balaji, V. A. Saravanan, and Sam Suresh. "A Method for Generating Electricity by Fast Moving Vehicles." Applied Mechanics and Materials 110-116 (October 2011): 2177–82. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.2177.

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A method for generating electricity using high wind pressure generated by fast moving vehicles channeling the induced wind in the direction of the wind turbine; converting the energy of the wind into mechanical energy by using wind turbine; and converting the mechanical energy into electrical energy by using a generating device and can be used for applications.
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26

Chaudhary, Yogendra, Vijaya Bangi, Ramesh Guduru, Kendrick Aung, and Ganesh Reddy. "Preliminary Investigation on Generation of Electricity Using Micro Wind Turbines Placed on A Car." International Journal of Renewable Energy Development 6, no. 1 (March 22, 2017): 75–81. http://dx.doi.org/10.14710/ijred.6.1.75-81.

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Wind energy is one of the prominent resources for renewable energy and it is traditionally extracted using stationary wind turbines. However, it can also be extracted using mini or micro wind turbines on a moving body, such as an automobile, while cruising at high speeds on freeways. If the electricity is produced using air flowing around the vehicle without affecting aerodynamic performance of the vehicle, it can be used to charge up the battery or power up additional accessories of the vehicle. For the first time, in the present work, a preliminary investigation was carried out to generate electricity by utilizing air flow on a moving car. Initially, a correlation between the car speed and wind velocity was established using an anemometer. Placing a set of two micro wind turbines along with two micro generators on the rear end of the car trunk, the present study investigated the feasibility of generating electricity from these micro wind turbines while evaluating the effect of drag force on the performance of the car through the experimental approach and computational fluid dynamics (CFD) simulations. Both approaches confirmed negligible effect of drag force on the vehicle performance in terms of gas mileage and changes in drag coefficient values. Following these studies, the micro wind turbines were also tested for electricity generation at various cruising speeds of the car ranging from 50 to 80 mph on the freeways. The voltage and power generated always showed an increasing trend with increasing the car speed, however they saturated when a cut off limit was setup with the voltage controllers. A maximum voltage of 3.5 V and a maximum current of 0.8 A were generated by each micro wind turbine when a cut off limit was used along with a load consisting of four LED bulbs in parallel with 3.5 V and 0.2 A rating each. On the other hand, when the tests were repeated without using the cut-off limit, a maximum voltage of 18.91 V and a maximum current of 0.65 A were recorded with a load of six flash bulbs in series (flash bulb rating – 4.8 V and 0.5 A each). These studies clearly demonstrate the flexibility to vary the voltage and current outputs from the micro wind turbines indicating a possibility for utilizing the wind energy on the cars at high speeds.Article History: Received Sept 5th 2016; Received in revised form Dec 6th 2016 ; Accepted January 4th 2017; Available onlineHow to Cite This Article: Bangi, V.K.T., Chaudhary, Y., Guduru, R.K., Aung, K.T and Reddy, G.N. (2017) Preliminary investigation on generation of electricity using micro wind turbines placed on a car. Int. Journal of Renewable Energy Development, 6(1), 75-81.http://dx.doi.org/10.14710/ijred.6.1.75-81
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Nkansah, Kofi, and Alan R. Collins. "Willingness to Pay for Wind versus Natural Gas Generation of Electricity." Agricultural and Resource Economics Review 48, no. 1 (March 20, 2018): 44–70. http://dx.doi.org/10.1017/age.2017.40.

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In 2009, West Virginia enacted an Alternative and Renewable Portfolio Act (APRA) to broaden its energy use for electricity beyond coal. A choice experiment survey was conducted to assess West Virginians’ willingness to pay (WTP) for 10 percent of electricity generated from wind energy versus natural gas. Results showed that residential consumers preferred electricity generated from wind, with annual per-capita WTP averaging from $19.25 to $26.75. Given the subsequent repeal of the APRA in 2015, we propose implementation of a voluntary green pricing program as an alternative policy to increase the share of renewable energy in West Virginia's energy portfolio.
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28

Vourdoubas, John. "Islands with Zero Net Carbon Footprint due to Electricity Use. The Case of Crete, Greece." European Journal of Environment and Earth Sciences 2, no. 1 (February 23, 2021): 37–43. http://dx.doi.org/10.24018/ejgeo.2021.2.1.116.

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European islands are pioneers in the development of renewable energy technologies. Aim of the current research is to investigate the possibility of zeroing the net annual carbon emissions due to electricity generation in the island of Crete, Greece. Crete, with population 634,930 permanent residents, has abundant solar and wind energy resources while electricity generation from solar-PV systems and wind farms is highly profitable. The electric grid of Crete was autonomous so far but currently its interconnection with the grid of continental Greece is under construction. This will allow soon the transfer of large amounts of electricity between Crete and the mainland. When excess electricity will be generated by solar and wind energy systems in the island it could be transferred in mainland and vice-versa. Carbon neutrality due to electricity generation in Crete can be achieved with local generation of “green solar and wind electricity” combined with electricity transfer via two electric cables with the mainland. Annual electricity generation in Crete is currently at 3,043 GWh while 21.22% of it is generated by renewable energies. Carbon emissions due to electricity generation are calculated at 3.22 tnCO2/capita. It has been estimated that the required size of solar-PV systems generating annually the electricity currently produced by fossil fuels in Crete is at 1,698 MWp while their cost is at 2.04 bil. €. The required size of wind farms generating annually the electricity currently produced by fossil fuels is at 950.6 MWel while their cost is at 0.914 bil. €. It is concluded that carbon neutrality due to electricity generation in Crete is technically and economically feasible.
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Kharel, Subodh, and Bahman Shabani. "Hydrogen as a Long-Term Large-Scale Energy Storage Solution to Support Renewables." Energies 11, no. 10 (October 19, 2018): 2825. http://dx.doi.org/10.3390/en11102825.

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This paper presents a case study of using hydrogen for large-scale long-term storage application to support the current electricity generation mix of South Australia state in Australia, which primarily includes gas, wind and solar. For this purpose two cases of battery energy storage and hybrid battery-hydrogen storage systems to support solar and wind energy inputs were compared from a techno-economical point of view. Hybrid battery-hydrogen storage system was found to be more cost competitive with unit cost of electricity at $0.626/kWh (US dollar) compared to battery-only energy storage systems with a $2.68/kWh unit cost of electricity. This research also found that the excess stored hydrogen can be further utilised to generate extra electricity. Further utilisation of generated electricity can be incorporated to meet the load demand by either decreasing the base load supply from gas in the present scenario or exporting it to neighbouring states to enhance economic viability of the system. The use of excess stored hydrogen to generate extra electricity further reduced the cost to $0.494/kWh.
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Jamieson, P. M., and A. Jaffrey. "Advanced Wind Turbine Design." Journal of Solar Energy Engineering 119, no. 4 (November 1, 1997): 315–20. http://dx.doi.org/10.1115/1.2888039.

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Garrad Hassan have a project in progress funded by the U.K. Department of Trade & Industry (DTI) to assess the prospects and Cost benefits of advanced wind turbine design. In the course of this work, a new concept, the coned rotor design, has been developed. This enables a wind turbine system to operate in effect with variable rotor diameter augmenting energy capture in light winds and shedding loads in storm conditions. Comparisons with conventional design suggest that a major benefit in reduced cost of wind-generated electricity may be possible.
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31

Smith, Ernest E. "US Legislative Incentives for Wind-Generated Electricity: State and Local Statutes." Journal of Energy & Natural Resources Law 23, no. 2 (May 2005): 173–87. http://dx.doi.org/10.1080/02646811.2005.11433399.

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32

Soulouknga, Marcel Hamda, Sunday Olayinka Oyedepo, Serge Yamigno Doka, and Timoleon Crépin Kofane. "Evaluation of the cost of producing wind-generated electricity in Chad." International Journal of Energy and Environmental Engineering 11, no. 2 (January 11, 2020): 275–87. http://dx.doi.org/10.1007/s40095-019-00335-y.

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33

Hosseini Imani, Mahmood, Ettore Bompard, Pietro Colella, and Tao Huang. "Impact of Wind and Solar Generation on the Italian Zonal Electricity Price." Energies 14, no. 18 (September 16, 2021): 5858. http://dx.doi.org/10.3390/en14185858.

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This paper assesses the impact of increasing wind and solar power generation on zonal market prices in the Italian electricity market from 2015 to 2019, employing a multivariate regression model. A significant aspect to be considered is how the additional wind and solar generation brings changes in the inter-zonal export and import flows. We constructed a zonal dataset consisting of electricity price, demand, wind and solar generation, net input flow, and gas price. In the first and second steps of this study, the impact of additional wind and solar generation that is distributed across zonal borders is calculated separately based on an empirical approach. Then, the Merit Order Effect of the intermittent renewable energy sources is quantified in every six geographical zones of the Italian day-ahead market. The results generated by the multivariate regression model reveal that increasing wind and solar generation decreases the daily zonal electricity price. Therefore, the Merit Order Effect in each zonal market is confirmed. These findings also suggest that the Italian electricity market operator can reduce the National Single Price by accelerating wind and solar generation development. Moreover, these results allow to generate knowledge advantageous for decision-makers and market planners to predict the future market structure.
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34

Ahmed Shata, A., S. Abdelaty, and R. Hanitsch. "Potential of Electricity Generation on the Western Coast of Mediterranean Sea in Egypt." Latvian Journal of Physics and Technical Sciences 45, no. 5 (January 1, 2008): 26–38. http://dx.doi.org/10.2478/v10047-008-0023-5.

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Potential of Electricity Generation on the Western Coast of Mediterranean Sea in EgyptA technical and economic assessment has been made of the electricity generation by wind turbines located at three promising potential wind sites: Sidi Barrani, Mersa Matruh and El Dabaa in the extreme northwest of Egypt along the Mediterranean Sea. These contiguous stations along the coast have an annual mean wind speed greater than 5.0 m/s at a height of 10 m. Weibull's parameters and the power law coefficient for all seasons have been estimated and used to describe the distribution and behavior of seasonal winds at these stations. The annual values of wind potential at the heights of 70-100 m above the ground level were obtained by extrapolation of the 10 m data from the results of our previous work using the power law. The three stations have a high wind power density, ranging from 340-425 to 450-555 W/m2at the heights of 70-100 m, respectively. In this paper, an analysis of the cost per kWh of electricity generated by two different systems has been made: one using a relatively large single 2 MW wind turbine and the other - 25 small wind turbines (80 kW, total 2 MW) arranged in a wind farm. The yearly energy output of each system at each site was determined, and the electricity generation costs in each case were also calculated and compared with those at using diesel oil, natural gas and photovoltaic systems furnished by the Egyptian Electricity Authority. The single 2 MW wind turbine was found to be more efficient than the wind farm. For all the three considered stations the electricity production cost was found to be less than 2 ϵ cent/kWh, which is about half the specific cost of the wind farm.
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35

Martínez-Lastras, Saray, Laura Frías-Paredes, Diego Prieto-Herráez, Martín Gastón-Romeo, and Diego González-Aguilera. "Analysis of the Suitability of the EOLO Wind-Predictor Model for the Spanish Electricity Markets." Energies 16, no. 3 (January 19, 2023): 1101. http://dx.doi.org/10.3390/en16031101.

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Wind energy forecasting is a critical aspect for wind energy producers, given that the chaotic nature and the intermittence of meteorological wind cause difficulties for both the integration and the commercialization of wind-produced electricity. For most European producers, the quality of the forecast also affects their financial outcomes since it is necessary to include the impact of imbalance penalties due to the regularization in balancing markets. To help wind farm owners in the elaboration of offers for electricity markets, the EOLO predictor model can be used. This tool combines different sources of data, such as meteorological forecasts, electric market information, and historic production of the wind farm, to generate an estimation of the energy to be produced, which maximizes its financial performance by minimizing the imbalance penalties. This research study aimed to evaluate the performance of the EOLO predictor model when it is applied to the different Spanish electricity markets, focusing on the statistical analysis of its results. Results show how the wind energy forecast generated by EOLO anticipates real electricity generation with high accuracy and stability, providing a reduced forecast error when it is used to participate in successive sessions of the Spanish electricity market. The obtained error, in terms of RMAE, ranges from 8%, when it is applied to the Day-ahead market, to 6%, when it is applied to the last intraday market. In financial terms, the prediction achieves a financial performance near 99% once imbalance penalties have been discounted.
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36

Parol, Mirosław, Bartłomiej Arendarski, and Rafał Parol. "Calculating electric power and energy generated in small wind turbine-generator sets in very short-term horizon." E3S Web of Conferences 84 (2019): 01006. http://dx.doi.org/10.1051/e3sconf/20198401006.

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The issue of very short-term forecasting of power generated in renewable energy sources, including small wind turbine-generator sets, is getting more and more important. Because it is crucial/necessary to ensure reliable electricity supplies to consumers, it is a subject of a great significance in small energy micro-systems, which are commonly called microgrids. Small wind turbine-generator sets will be shortly characterized in this paper. Further on, typical characteristics of power generated by these units, dependent on the wind velocity, will be presented. Then results of sample calculations of electric power and energy generated by several wind turbine-generator sets of small installed capacity, in relation to the wind velocity and time intervals assumed for calculations, will be presented. On the basis of these calculations, estimation errors resulting from the magnitude of time intervals, assumed in the process of wind velocity averaging, will be determined. Some qualitative analysis of obtained estimates of electric powers and energies, in context of very short-term forecasts of these quantities, will be carried out. At the end of the paper observations and conclusions concerning analyzed subject, i.e. calculating the electric power and energy generated in small wind turbine- generator sets in a very short-term horizon, will be provided.
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37

CHOMAKHIDZE, DEMUR, and KETEVAN TSKHAKAIA. "THE TRENDS OF DRAWING UP THE ELECTRICITY BALANCE OF GEORGIA." Globalization and Business 4, no. 7 (June 25, 2019): 117–22. http://dx.doi.org/10.35945/gb.2019.07.014.

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The paper dwells on the analysis of electricity balance of Georgia in the years of 2005-2017 in accordance with the parameters such as electricity generation-consumption and exports-imports. Significant attention was paid to the structural development of electricity generation and consumption. The paper also addresses the issues of exports imports with neighboring countries. Electricity exports and imports in Georgia is characterized by changing dynamics. Over the past 17 years, imports have grown by 39,3%. It has been highlighted that the electricity balance in the years of 2016-2017 differs substantially from the electricity balance of previous years that is due to the operation of wind power plant, which just in 2017 generated 87,8 million kWh, representing 1% of generated electricity. The paper highlights that the level of electric intensity of production in Georgia is still high, the reduction of which is considerable room for improvement in the electricity balance; there is need for development of renewable energy resources (hydro, solar, wind), placing greater reliance on advanced technologies in the field of electricity consumption and so on.
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38

CHOMAKHIDZE, DEMUR, and KETEVAN TSKHAKAIA. "THE TRENDS OF DRAWING UP THE ELECTRICITY BALANCE OF GEORGIA." Globalization and Business 4, no. 7 (June 25, 2019): 117–22. http://dx.doi.org/10.35945/gb.2019.07.014.

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The paper dwells on the analysis of electricity balance of Georgia in the years of 2005-2017 in accordance with the parameters such as electricity generation-consumption and exports-imports. Significant attention was paid to the structural development of electricity generation and consumption. The paper also addresses the issues of exports imports with neighboring countries. Electricity exports and imports in Georgia is characterized by changing dynamics. Over the past 17 years, imports have grown by 39,3%. It has been highlighted that the electricity balance in the years of 2016-2017 differs substantially from the electricity balance of previous years that is due to the operation of wind power plant, which just in 2017 generated 87,8 million kWh, representing 1% of generated electricity. The paper highlights that the level of electric intensity of production in Georgia is still high, the reduction of which is considerable room for improvement in the electricity balance; there is need for development of renewable energy resources (hydro, solar, wind), placing greater reliance on advanced technologies in the field of electricity consumption and so on.
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39

C. Edmunds, John, and Charles Winrich. "Business implications of the falling cost of electricity." Environmental Economics 7, no. 2 (June 3, 2016): 9–18. http://dx.doi.org/10.21511/ee.07(2).2016.1.

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Sharp declines in cost per kilowatt-hour of electricity generated by wind turbines and solar panels have opened up major shifts in cost and supply of electricity. Using elasticity of price and income to analyze scenarios of much cheaper electricity reveals economic impacts well outside the range that has dominated the debate until now. The methods and computations give a wide span of impacts, and those methods led to unexpected and provocative implications
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40

Gough, Lotfi, Castro, Madhlopa, Khan, and Catalão. "Urban Wind Resource Assessment: A Case Study on Cape Town." Energies 12, no. 8 (April 18, 2019): 1479. http://dx.doi.org/10.3390/en12081479.

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As the demand for renewable energy sources energy grows worldwide, small-scale urban wind energy (UWE) has drawn attention as having the potential to significantly contribute to urban electricity demand with environmental and socio-economic benefits. However, there is currently a lack of academic research surrounding realizable UWE potential, especially in the South African context. This study used high-resolution annual wind speed measurements from six locations spanning Cape Town to quantify and analyze the city’s UWE potential. Two-parameter Weibull distributions were constructed for each location, and the annual energy production (AEP) was calculated considering the power curves of four commonly used small-scale wind turbines (SWTs). The two Horizontal Axis Wind Turbines (HAWTs) showed higher AEP and capacity factors than Vertical Axis Wind Turbine (VAWT) ones. A diurnal analysis showed that, during summer, an SWT generates the majority of its electricity during the day, which resembles the typical South African electricity demand profile. However, during winter, the electricity is mainly generated in the early hours of the morning, which does not coincide with the typical load demand profile. Finally, the calculation of Levelized Cost of Electricity (LCOE) showed that SWT generation is more expensive, given current electricity market conditions and SWT technology. The study provides a detailed, large-scale and complete assessment of UWE resources of Cape Town, South Africa, the first of its kind at the time of this work.
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41

Merizalde, Yuri, Luis Hernández-Callejo, Javier Gracia Bernal, Enrique Telmo Martínez, Oscar Duque-Perez, Francisco Sánchez, and Andrés Llombart Estpopiñán. "Wind Resource Assessment on Puná Island." Applied Sciences 9, no. 14 (July 22, 2019): 2923. http://dx.doi.org/10.3390/app9142923.

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Puná Island, located in the Pacific Ocean off the southern coast of Ecuador, has a population of approximately 3344 inhabitants. However, not all inhabitants have access to electricity, which is largely supplied by diesel generators. Therefore, to identify a renewable, sustainable, environmentally friendly and low-cost alternative, a 40-m-high anemometer tower was installed for wind resource assessment and to determine the possibility of generating electricity from wind energy. Based on mathematical models for electricity generation from wind energy, data were analyzed using the software Windographer and WAsP, to determine a long-term wind speed of 4.8 m/s and a mean wind power density of 272 W/m2. By simulating the use of a 3.3-MW wind turbine, we demonstrated that as much as 800 kWh could be generated during the hours when the wind reaches its highest speed. In addition to demonstrating the technical feasibility of meeting the electricity demands of Puná Island through wind power, this study exemplifies a method that can be used for wind resource assessment in any location.
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42

Cavallo, Alfred J. "High-Capacity Factor Wind Energy Systems." Journal of Solar Energy Engineering 117, no. 2 (May 1, 1995): 137–43. http://dx.doi.org/10.1115/1.2870843.

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Wind-generated electricity can be fundamentally transformed from an intermittent resource to a baseload power supply. For the case of long distance transmission of wind electricity, this change can be achieved at a negligible increase or even a decrease in per unit cost of electricity. The economic and technical feasibility of this process can be illustrated by studying the example of a wind farm located in central Kansas and a 2000 km, 2000 megawatt transmission line to southern California. Such a system can have capacity factor of 60 percent, with no economic penalty and without storage. With compressed air energy storage (CAES) (and with a negligible economic penalty), capacity factors of 70–95 percent can be achieved. This strategy has important implications for the development of wind energy throughout the world since good wind resources are usually located far from major demand centers.
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43

Braverman, V. Ya, and B. K. Ilienko. "CRYOGENIC ACCUMULATION OF ELECTRICITY GENERATED USING RENEWABLE ENERGY SOURCES." Energy Technologies & Resource Saving, no. 2 (June 20, 2021): 22–27. http://dx.doi.org/10.33070/etars.2.2021.02.

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Possibilities and prospects of accumulation of the electric power generated on objects of renewable energy sources - solar and wind power plants, with use of cryogenic liquids are considered. A comparison of the three most common ways of accumulating electricity: using lithium-ion batteries, hydrogen, liquid air. According to the proposed technology, the efficiency of recovery of electricity from liquid air is from 54 to 70%. The developed technology is based on cryogenic and thermal accumulation and has a high accumulation coefficient. It is shown that energy storage in cryogenic storage devices is the cheapest today. The proposed technology can also be used to generate electricity from liquefied natural gas using standard equipment developed by industry. The technological scheme of the cryoaccumulating station is offered. Bibl. 10, Fig. 1, Table 1.
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44

Barnhart, Charles J., Michael Dale, Adam R. Brandt, and Sally M. Benson. "The energetic implications of curtailing versus storing solar- and wind-generated electricity." Energy & Environmental Science 6, no. 10 (2013): 2804. http://dx.doi.org/10.1039/c3ee41973h.

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45

Diab, Roseanne, and Brian O'Leary. "Economic analysis of wind-generated electricity in remote areas of South Africa." International Journal of Energy Research 13, no. 5 (1989): 581–88. http://dx.doi.org/10.1002/er.4440130509.

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46

Vladimir Dokmanović. "EUROPEAN EXPERIENCE IN CONNECTION WITH THE INTEGRATION OF ELECTRICITY GENERATED BY WIND POWER PLANTS INTO ELECTRICAL POWER SYSTEMS." Journal of Energy - Energija 57, no. 4 (October 11, 2022): 376–407. http://dx.doi.org/10.37798/2008574329.

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The article presents European experiences regarding the use of wind power in electricity production. Emphasis is placed upon the signifi cance of optimizing, strengthening and expanding an existing electrical grid, as well as the construction of modern grids for the rapid and effi cient integration of renewable energy sources. The goal of the article is to draw attention to the importance and complexity of this topic by utilizing the fi ndings of numerous research studies on the integration of electricity from wind power plants into the electrical power systems of individual countries.
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47

Xiuyun, YANG, ZHANG Wenjun, and ZHU Yining. "Regional investment distribution of the wind power in China and its impacts on wind-generated electricity." Energy Procedia 5 (2011): 2321–29. http://dx.doi.org/10.1016/j.egypro.2011.03.399.

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48

Allen, S. R., G. P. Hammond, and M. C. McManus. "Energy analysis and environmental life cycle assessment of a micro-wind turbine." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 222, no. 7 (October 24, 2008): 669–84. http://dx.doi.org/10.1243/09576509jpe538.

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The life cycle energy use and environmental impact of an installed micro-wind turbine for domestic (residential) electricity generation has been determined. The turbine examined was a horizontal-axis wind turbine, which has a rotor diameter of 1.7 m, a power rating of 600 W at 12 m/s, and an assumed lifetime of 15 years. The system boundaries for the study encompass energy and material resources in the ground and extend to the point of delivery of electricity. The energy output of the turbine in different terrains has been estimated via a dataset of hourly measured wind speeds, and the environmental impact of producing and maintaining the micro-wind turbine was determined. The environmental performance of the turbine was assessed by assuming that each unit of electricity generated displaces (avoids the use of) a unit of grid electricity. The whole life cycle performance of a micro-wind turbine was found to be dependant on a number of factors, primarily the geographical positioning of the turbine, the available wind resource, and the use of recycled materials within the production of the microturbine.
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49

Krishna Swamy, S., I. Gonzalez-Aparicio, and N. Chrysochoidis-Antsos. "Developing a long-lasting offshore wind business case towards a Dutch decarbonised energy system by 2050." Journal of Physics: Conference Series 2151, no. 1 (January 1, 2022): 012010. http://dx.doi.org/10.1088/1742-6596/2151/1/012010.

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Abstract The integration of large-scale offshore wind power in the energy system will have a major effect on electricity markets. It may lead to large market price volatility due to the inherent variability of wind energy in terms of power fluctuations, forecast errors and insufficient flexibility on the demand side. This study models future business cases for offshore wind farms in two reference national scenarios for the Netherlands, namely NECP2030 and TRANSFORM. Results show that the value of offshore wind in 2030, according to NECP scenario is 39.9 €/MWh, and that electricity price in the TRANSFORM scenario, which considers aggressive development towards a sustainable economy, is a high 104 €/MWh by 2050. To consider ways of improving the return on investment for offshore wind farms in future markets, an optimisation problem is defined, where the wind farm has the choice to either sell the generated electricity to the spot market or to an electrolyser. Results show a potential advantage in using an electrolyser to produce green hydrogen for offshore wind farms, with net profit of 41.4 M€, compared to when offshore wind farms sell electricity solely to the spot market, where the profits are 36 M€.
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50

Milborrow, David. "Wind Energy Technology, Status Review." Wind Engineering 24, no. 2 (March 2000): 65–72. http://dx.doi.org/10.1260/0309524001495440.

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Wind energy technology has developed extremely rapidly, and many commercial wind turbines now on the market have capacity ratings of one megawatt or more. Energy productivity per unit of rotor area has steadily improved. Turbine prices have decreased per unit capacity, so the cost of wind-generated electricity has fallen steadily. This paper examines design concepts, applications and economics, and looks to further developments, including offshore wind energy.
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