Academic literature on the topic 'Wind energy'

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Journal articles on the topic "Wind energy"

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Nah, Do-Baek, Hyo-Soon Shin, and Duck-Joo Nah. "Offshore Wind Power, Review." Journal of Energy Engineering 20, no. 2 (2011): 143–53. http://dx.doi.org/10.5855/energy.2011.20.2.143.

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Suska-Szczerbicka, Magdalena. "WIND ENERGY FINANCING TOOLS." Economics & Sociology 3, no. 1a (2010): 141–60. http://dx.doi.org/10.14254/2071-789x.2010/3-1a/10.

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Gartman, Victoria, Kathrin Wichmann, Lea Bulling, María Elena Huesca-Pérez, and Johann Köppel. "Wind of Change or Wind of Challenges: Implementation factors regarding wind energy development, an international perspective." AIMS Energy 2, no. 4 (2014): 485–504. http://dx.doi.org/10.3934/energy.2014.4.485.

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Früh, Wolf-Gerrit. "From local wind energy resource to national wind power production." AIMS Energy 3, no. 1 (2015): 101–20. http://dx.doi.org/10.3934/energy.2015.1.101.

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Musau, Stephen K., Kathrin Stahl, Kevin Volkmer, Nicholas Kaufmann, and Thomas H. Carolus. "A design and performance prediction method for small horizontal axis wind turbines and its application." AIMS Energy 9, no. 5 (2021): 1043–66. http://dx.doi.org/10.3934/energy.2021048.

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<abstract> <p>The paper deals with small wind turbines for grid-independent or small smart grid wind turbine systems. Not all small turbine manufacturers worldwide have access to the engineering capacity for designing an efficient turbine. The objective of this work is to provide an easy-to-handle integrated design and performance prediction method for wind turbines and to show exemplary applications.</p> <p>The underlying model for the design and performance prediction method is based on an advanced version of the well-established blade-element-momentum theory, encoded
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N Akour, Salih, and Hani Omar Bataineh. "Design considerations of wind funnel concentrator for low wind speed regions." AIMS Energy 7, no. 6 (2019): 728–42. http://dx.doi.org/10.3934/energy.2019.6.728.

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Wu, Weijian, Zhen Pan, Jiangtao Zhou, et al. "Wind-Speed-Adaptive Resonant Piezoelectric Energy Harvester for Offshore Wind Energy Collection." Sensors 24, no. 5 (2024): 1371. http://dx.doi.org/10.3390/s24051371.

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This paper proposes a wind-speed-adaptive resonant piezoelectric energy harvester for offshore wind energy collection (A-PEH). The device incorporates a coil spring structure, which sets the maximum threshold of the output rotational frequency, allowing the A-PEH to maintain a stable output rotational frequency over a broader range of wind speeds. When the maximum output excitation frequency of the A-PEH falls within the sub-resonant range of the piezoelectric beam, the device becomes wind-speed-adaptive, enabling it to operate in a sub-resonant state over a wider range of wind speeds. Offshor
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Barthelmie, Rebecca, and Martin Kühn. "Wind Energy special issue: offshore wind energy." Wind Energy 10, no. 6 (2007): 587. http://dx.doi.org/10.1002/we.261.

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Matyakubov, Rakhbarjon, Shokhrukh Kholyorov, and Anvar Rasulov. "Specific Aspects of Using Wind Energy." European International Journal of Pedagogics 5, no. 5 (2025): 216–18. https://doi.org/10.55640/eijp-05-05-47.

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This article examines the advantages of wind energy and the experience of wind energy in developed countries such as China, the USA, and Germany. The article analyzes the possibilities of using wind energy in the Republic of Uzbekistan, its existing resources, and development prospects. It also analyzes the technology of building wind power plants, and major projects being implemented in Uzbekistan, including wind power plants in the Republic of Karakalpakstan, Navoi, and Bukhara regions.
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Chen, Tsai Hsiang, Van Tan Tran, Nien Che Yang, and Ting Yen Hsieh. "Wind Energy Potential in Taiwan." Applied Mechanics and Materials 284-287 (January 2013): 1062–66. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1062.

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The purpose of this paper is to contribute the database to users of wind power in Taiwan. The study analyzes 12 stations in Taiwan. The data were collected during the period 2001-2010. The Weibull distribution method was used to analyze wind characteristics and wind energy potential in the different site and height as well. The results show that the wind speed at the height 100 m and roughness length 0.1 m in Taiwan between 1.7 m/s and 4.3 m/s, and the power density from 5 W/m2 to 75 W/m2. Taipei is the windy place, while Taichung is the less. The direction of the wind most commonly comes from
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Dissertations / Theses on the topic "Wind energy"

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Ndzukuma, Sibusiso. "Statistical tools for wind energy generation." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1020627.

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In this study we conduct wind resource assessment to evaluate the annual energy production of a wind turbine. To estimate energy production of a wind turbine over a period of time, the power characteristics of the wind turbine are integrated with the probabilities of the wind speed expected at a chosen site. The first data set was obtained from a wind farm in Denmark. We propose several probability density functions to model the distribution of the wind speed. We use techniques from nonlinear regression analysis to model the power curve of a wind turbine. The best fit distribution model is ass
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Золотова, Світлана Григорівна, Светлана Григорьевна Золотова, Svitlana Hryhorivna Zolotova, and O. V. Leunova. "Wind Energy Sources." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13443.

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Goff, Charles. "Wind energy cost reductions." CONNECT TO ELECTRONIC THESIS, 2006. http://hdl.handle.net/1961/3598.

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Sankaranarayanan, Vairamayil. "Maintenance – Wind Energy Production." Thesis, Mälardalens högskola, Innovation och produktrealisering, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-27620.

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This thesis investigates issues like maintenance problems, key factors, maintenance challenges, maintenance solutions and practical difficulties in wind energy. In this case, surveys and interviews have been taken from several companies and maintenance experts, to find most prevailing problems and problem-solving methods since last few years. It helps to show, how the energy maintenance has been developed in past few years. Also it analyses the impact of fourth generation maintenance in wind energy production. From research questions, key factors involved in wind energy maintenance provides us
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Sun, Huihui. "Miniature wind energy harvesters." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/416874/.

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Energy harvesting is a very attractive technique for a wide variety of self-powered microsystems such as wireless sensors. Airflow induced oscillations have been used as an attractive technique for energy harvesting because of its potential capacity for generating electrical power. The aero-elastic instability phenomenon such as flutter has been suggested especially for small scale energy harvesters. This paper describes the design, simulation, fabrication, measurement and performance of a miniature wind energy harvester based on a flapping cantilevered beam. The wind generator is based on osc
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Wang, Jialin. "Building integrated wind energy." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/building-integrated-wind-energy(81978798-e68a-4189-87b0-4159b280b6e9).html.

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In considering methods of reducing the emission of carbon dioxide; there is a growing interest for use of wind power at domestic building in U.K. But the technology of wind turbines development in building environment is more complicated than in open areas. Small wind turbines in suburban areas have been reported as having unsatisfactory energy output, but it is not clear whether this is due to insufficient wind resource or low turbine efficiency. The aim of this research is to discover whether the wind resource in suburban areas is large enough for small wind turbines to produce a useful ener
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Shelley, Dena L. "A wind energy landscape : the Searsburg Wind Park." Virtual Press, 2008. http://liblink.bsu.edu/uhtbin/catkey/1390311.

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Wind Energy facilities are becoming a more common occurrence among the U.S. landscape. The shift to renewable from non-renewable energy sources is an important agenda item for energy policy in the 21st century. Unlike other forms of energy, the unique visual aspects of wind energy provide opportunities to engage with and actually view the process of energy production. The sculptural element of turbines and their placement in highly visible areas, such as mountain ridges, provides opportunities of environmental interpretation and public interaction. Although existing security and safety precaut
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Moor, Gary Duncan. "Optimization of wind energy transfer using wind turbines." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53542.

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Thesis (MScIng)--Stellenbosch University, 2003.<br>ENGLISH ABSTRACT: The effect of topography and terrain on wind is examined in order to ensure that the wind turbine positioning will encourage a greater availability of wind energy to it. Maximum power point tracking methods are presented whereby the loading on the wind turbine is controlled to ensure that the maximum available energy from the wind is captured. The wind turbine system is modelled and used in simulations to evaluate the three proposed maximum power point trackers, named anemometer control, calculation control and constant
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Weekes, Shemaiah Matthias. "Small-scale wind energy : methods for wind resource assessment." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/6413/.

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Small-scale wind energy is a renewable energy technology with exciting prospects in a low carbon energy future. However, in order for the technology to be fully utilized, techniques capable of predicting the wind energy resource quickly, cheaply and accurately are urgently required. Specifically, the direct measurement approaches used in the large-scale wind industry are often not financially or practically viable in the case of small-scale installations. The subject of this thesis is the development of low-cost, indirect methods for predicting the wind resource using, (i) analytical models ba
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Gnauck, Robert. "Innovation System Wind Energy Industry." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-149822.

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The wind industry has arrived at a state of technological maturity and is occasionally already today cost-competitive to conventional sources of energy. This thesis investigates the process of innovation that took place within the industry. A theoretical background into economical theory of innovation together with a status quo assessment of today's wind industry serves as introduction to the topic. In the analytical part, inducement mechanisms and functions of technological development will be identified as crucial drivers for innovation within the sector. The key findings of this thesis lead
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Books on the topic "Wind energy"

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Raum, Elizabeth. Wind energy. Heinemann Library, 2008.

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Bowden, Rob. Energy: Wind energy. Stargazer Books, 2006.

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Armentrout, David. Wind energy. Rourke Pub., 2009.

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Peinke, Joachim, Peter Schaumann, and Stephan Barth, eds. Wind Energy. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33866-6.

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Mathew, Sathyajith. Wind Energy. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-30906-3.

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Bowden, Rob. Wind energy. Stargazer Books, 2007.

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F, Walker John. Wind energy. John Wiley, 1997.

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Energy, Centre for Alternative. Wind energy. Centre for Alternative Energy, 1988.

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Great Britain. Parliament. House of Commons. Welsh Affairs Committee. Wind energy. HMSO, 1994.

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Nelson, Vaughn. Wind energy and wind turbines. Alternative Energy Institute, West Texas A&M University, 1996.

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Book chapters on the topic "Wind energy"

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Lenzen, Manfred, and Olivier Baboulet. "Wind Energy." In Handbook of Climate Change Mitigation and Adaptation. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14409-2_34.

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Ghosh, Tushar K., and Mark A. Prelas. "Wind Energy." In Energy Resources and Systems. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1402-1_1.

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Bostan, Ion, Adrian Gheorghe, Valeriu Dulgheru, Ion Sobor, Viorel Bostan, and Anatolie Sochirean. "Wind Energy." In Resilient Energy Systems. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4189-8_5.

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Peuteman, J. "Wind Energy." In Energy, Environment, and Sustainability. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3284-5_10.

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Wrixon, Gerard T., Anne-Marie E. Rooney, and Wolfgang Palz. "Wind Energy." In Renewable Energy-2000. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-52347-2_3.

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Guerrero-Lemus, Ricardo, and Les E. Shephard. "Wind Energy." In Low-Carbon Energy in Africa and Latin America. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52311-8_10.

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Lenzen, Manfred, and Olivier Baboulet. "Wind Energy." In Handbook of Climate Change Mitigation and Adaptation. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6431-0_34-2.

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Zini, Gabriele, and Paolo Tartarini. "Wind Energy." In Solar Hydrogen Energy Systems. Springer Milan, 2012. http://dx.doi.org/10.1007/978-88-470-1998-0_5.

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Brown, Charles E. "Wind Energy." In World Energy Resources. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56342-3_10.

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Stout, B. A. "Wind Energy." In Handbook of Energy for World Agriculture. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0745-4_7.

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Conference papers on the topic "Wind energy"

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Prasai, Anish, and Deepak Divan. "DC Collection for Wind Farms." In 2008 IEEE Energy 2030 Conference (Energy). IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781054.

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Papavasiliou, A., and S. S. Oren. "Coupling Wind Generators with Deferrable Loads." In 2008 IEEE Energy 2030 Conference (Energy). IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781058.

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Zhu, Yongqiang, Zejun Ding, and Yuan Gong. "Advanced Agricultural Irrigation System Applying Wind Power Generation." In 2008 IEEE Energy 2030 Conference (Energy). IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781005.

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Schottler, Jannik, Agnieszka Hölling, Joachim Peinke, and Michael Hölling. "Wind tunnel tests on controllable model wind turbines in yaw." In 34th Wind Energy Symposium. American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-1523.

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Ghate, Aditya S., and Sanjiva K. Lele. "A Modeling Framework for Wind Farm Analysis: Wind Turbine Wake Interactions." In 33rd Wind Energy Symposium. American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-0725.

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Petrovic, Vlaho, and Carlo L. Bottasso. "Wind Turbine Envelope Riding." In 33rd Wind Energy Symposium. American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-1213.

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Churchfield, Matthew J., and Senu Sirnivas. "On the Effects of Wind Turbine Wake Skew Caused by Wind Veer." In 2018 Wind Energy Symposium. American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-0755.

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Robertson, Amy, Latha Sethuraman, and Jason M. Jonkman. "Assessment of Wind Parameter Sensitivity on Extreme and Fatigue Wind Turbine Loads." In 2018 Wind Energy Symposium. American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-1728.

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Chaudhary, S. K., R. Teodorescu, and P. Rodriguez. "Wind Farm Grid Integration Using VSC Based HVDC Transmission - An Overview." In 2008 IEEE Energy 2030 Conference (Energy). IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781061.

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Bottasso, Carlo L., and Filippo Campagnolo. "Wind Turbine and Wind Farm Control Testing in a Boundary Layer Wind Tunnel." In 32nd ASME Wind Energy Symposium. American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-0875.

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Reports on the topic "Wind energy"

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Author, Not Given. Wind energy bibliography. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/67716.

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Weber, Jochem, Melinda Marquis, Aubryn Cooperman, et al. Airborne Wind Energy. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1813974.

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Gill, Elizabeth, Matilda Kreider, and Suzanne MacDonald. Offshore Wind Energy Basics: Navigating Offshore Wind Energy Decision-Making Processes. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1897061.

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Gruenbacher, Don. Kansas Wind Energy Consortium. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1233445.

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anon. Wind Energy Teachers Guide. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/836696.

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anon. Wind energy applications guide. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/836856.

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Stromberg, Richard. Alaska Wind Energy Project. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1347390.

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Lundquist, Julie K., Andrew J. Clifton, Scott Dana, et al. Wind Energy Instrumentation Atlas. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1513195.

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Joshi, Prateek, and Carishma Gokhale-Welch. Fundamentals of Wind Energy. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1898570.

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Christol, Corrie, Chloe Constant, and Jeremy Stefek. Defining Wind Energy Experience. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1896897.

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