Relevant bibliographies by topics / Wind Farm Siting

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Wind Farm Siting'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Wind Farm Siting"

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Hua, Ze Jia, Yan Zhang Gu, and Chen Xuan Hou. "Wind Farm Micro-Siting Optimization and Benefits Analysis." Advanced Materials Research 1055 (November 2014): 389–93. http://dx.doi.org/10.4028/www.scientific.net/amr.1055.389.

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This paper puts forward a creative turbine micro-siting scheme breaking the 3D-5D rule, and calculates wake losses, power production and its economic benefits in traditional wind farm micro-siting scheme and creative wind farm micro-siting scheme by evaluating software WEPAS and MWVE. Results show that the micro-siting scheme breaking 3D-5D is more feasible and effective. It not only ensures the safe and stable operation of the wind turbines and technical parameters, but also the power production and the initial investment have been optimized.
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Gu, Huajie, and Jun Wang. "Irregular-shape wind farm micro-siting optimization." Energy 57 (August 2013): 535–44. http://dx.doi.org/10.1016/j.energy.2013.05.066.

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Røkenes, Kjersti, and Per-Åge Krogstad. "Wind tunnel simulation of terrain effects on wind farm siting." Wind Energy 12, no. 4 (2009): 391–410. http://dx.doi.org/10.1002/we.310.

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Groza, E., M. Balodis, K. Gulbis, and J. Dirba. "Benefits of Energy Storage Systems for Small-Scale Wind Farm Development in Latvia." Latvian Journal of Physics and Technical Sciences 58, no. 2 (2021): 11–18. http://dx.doi.org/10.2478/lpts-2021-0008.

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Abstract The paper covers the main aspects and restrictions on siting small-scale wind farms in Latvia and benefits of using energy storage systems with small-scale wind farms. The restrictions of siting have been analysed. Grid connection restrictions are addressed as the main issues for small-scale wind farm development in Latvia. Two small-scale wind farm models with similar properties have been made and analysed within the framework of the research. The paper proposes the idea for maximising the production of small-scale wind farm in a small area site with high wind potential.
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van den Doel, J. C., and P. H. van Gemert. "The economics of wind farm siting in Holland." Journal of Wind Engineering and Industrial Aerodynamics 27, no. 1-3 (1988): 275–83. http://dx.doi.org/10.1016/0167-6105(88)90042-6.

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Grilli, Annette Renee, Malcolm Spaulding, Christopher O'Reilly, and Gopu Potty. "OFFSHORE WIND FARM MACRO AND MICRO SITING PROTOCOL APPLICATION TO RHODE ISLAND." Coastal Engineering Proceedings 1, no. 33 (2012): 73. http://dx.doi.org/10.9753/icce.v33.management.73.

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Since 2008, the Rhode Island (RI) Coastal Resources Management Council has been leading the development of an Ocean Special Area Management Plan (Ocean SAMP), in partnership with the University of Rhode Island, resulting in an extensive multidisciplinary analysis of the Rhode Island offshore environment and its suitability to site offshore wind farms. As part of SAMP, a comprehensive macro-siting optimization tool: the Wind Farm Siting Index (WIFSI), integrating technical, societal, and ecological constraints, was developed within the conceptual framework of ecosystem services. WIFSI uses mult
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Kim, Hyun Goo, Hyo Jung Hwang, Yong Heack Kang, Chang Yeol Yun, Bi Rin Jung, and Kyu Bong Song. "Wind Farm Siting in Mountainous Terrain By Geomorphometric Characterization." Journal of Korean Society for Geospatial Information System 22, no. 4 (2014): 13–19. http://dx.doi.org/10.7319/kogsis.2014.22.4.013.

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Ulker, Fatma, Douglas Allaire, and Karen Willcox. "Sensitivity-guided decision-making for wind farm micro-siting." International Journal for Numerical Methods in Fluids 83, no. 1 (2016): 52–72. http://dx.doi.org/10.1002/fld.4256.

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Shakirov, Vladislav A., and Andrei Yu Artemiev. "WIND FARM SITING USING COMPUTER MODELING OF TERRAIN RELIEF AND WIND FLOW." Proceedings of Irkutsk State Technical University 21, no. 11 (2017): 133–43. http://dx.doi.org/10.21285/1814-3520-2017-11-133-143.

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Li, Ming, Kefeng Liu, Ren Zhang, Mei Hong, and Qin Pan. "Using the Cloud-Bayesian Network in Environmental Assessment of Offshore Wind-Farm Siting." Mathematical Problems in Engineering 2019 (July 18, 2019): 1–15. http://dx.doi.org/10.1155/2019/9710839.

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Offshore wind energy has become the fastest growing form of renewable energy for the last few years. And the development of offshore wind farms (OWFs) is now characterized by a boom. OWF siting is crucial in the success of wind energy projects. Therefore, this paper aims to introduce intelligent algorithms to improve the siting assessment under conditions of multisource and uncertain information. An optimization macrositing model based on Cloud-Bayesian Network (Cloud-BN) is put forward. We introduce the cloud model and adaptive Gaussian cloud transformation (A-GCT) algorithm to grade indicato
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Dissertations / Theses on the topic "Wind Farm Siting"

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Bray, Agnes. "The democratic deficit in wind farm siting : an interdisciplinary model of community mobilisation around onshore wind farm siting in England." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/22768/.

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Reportedly, a sizeable majority of the UK population are favourable to the use of wind power yet many specific wind farm proposals are delayed or curtailed because of active local opposition, especially in England. A novel and so far insufficiently researched explanation of this paradox is the democratic deficit hypothesis, which argues that if an oppositional minority can advocate their opinion more actively and effectively than a more positively inclined majority then the planning outcomes will not reflect the actual will of the public. The studies in this dissertation were looking at whethe
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Sogand, Yousefbeigi. "Wind Farm Optimization." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615685/index.pdf.

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In this thesis, a mixed integer linear program is used to formulate the optimization process of a wind farm. As a start point, a grid was superimposed into the wind farm, in which grid points represent possible wind turbine locations. During the optimization process, proximity and wind interference between wind turbines were considered in order to found the power loss of the wind farm. Power loss was analyzed by using wind interference coefficient, which is a function of wind intensity interference factor (WIIF), weibull distribution and power of the wind turbines. Two different programs<br>Ge
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Sundström, Oskar. "Multi-Criterion Macro-Siting Analysis of Offshore Wind Farm Potential in Sweden." Thesis, KTH, Geoinformatik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301667.

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Sverige har en stor potential för produktion av havsbaserad vindkraft. När teknologin utvecklas och de politiska förutsättningar förändras, kommer konstruktionen av havsbaserad vindkraft i landet troligtvis öka. Den presenterade metodologin går ut på att använda MCDM och AHP metoder i ett GIS för att producera en utvärderingskarta för potentiella platser att producera havsbaserad vindenergi.  Målet med den här studien har varit att ta reda på vilken data som krävs och är relevant för att överföra svensk samt internationell standard och regler kring placeringen av havsbaserad vindkraft till ett
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Simao, A. C. R. "A learning-enhancing, web-based public participation system for spatial planning : an application to the wind farm siting problem." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1446332/.

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Public participation in government is a hallmark of a democratic society. In the planning realm, public participation has come to define good planning and is seen as fundamental to achieving lasting and possible solutions. The effectiveness of public participation, however, is directly related to the volume and quality of available information and the support that citizens have in making sense of this information, both to develop positions and to make informed contributions. This thesis develops a learning-enhancing framework for public participation in spatial planning. Departing from the ana
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Boatwright, Jessica Ann. "Siting Community Wind Farms: An Investigation of NIMBY." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23750.

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Wind energy is expanding rapidly in the United States as the nation\'s energy policy objectives increasingly focus on renewables. Public opinion polls show that a majority of Americans support wind energy development but actual wind farm projects often face intense local opposition. This dichotomy between general support for wind energy but opposition towards siting a project nearby is often attributed to the not-in-my-backyard (NIMBY) phenomenon. In this study we employ a discrete choice experiment to investigate public preferences for different characteristics of a local wind farm. We inves
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Bohn, Christiane. "Welcoming the wind : the political process for geographic siting of wind turbine farms in the U.S. /." Available to subscribers only, 2007. http://proquest.umi.com/pqdweb?did=1400956411&sid=3&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Mittal, Anshul. "Optimization of the Layout of Large Wind Farms using a Genetic Algorithm." Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1270056861.

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Thesis (Master of Sciences (Engineering))--Case Western Reserve University, 2010<br>Department of EMC - Fluid and Thermal Engineering Title from PDF (viewed on 2010-05-25) Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
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Chiou, Jau-Kang, and 邱詔康. "Comments on the Issues of the Non-urban Land Use Zoning Regulation under the Aspect of Land Use Compatibility— A Case Study of Private Wind Farm Siting Problems in Taiwan." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/37696972601615487518.

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碩士<br>逢甲大學<br>土地管理所<br>93<br>Under the aspect of sustaining developments in order to achieve the harmony state of environment protection and energy consumption, the issue of energy has become even more seriously and widely discussed in many countries. One of most important development is to use the clean and renewable energy in the national and the international scale. Among kinds of renewable energy grows, the wind energy market world widely in last years. The government and the private wind energy industry in Taiwan all try to catch up, and there are also some wind energy projects on the way
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McWilliam, Michael Kenneth. "Towards multidisciplinary design optimization capability of horizontal axis wind turbines." Thesis, 2015. http://hdl.handle.net/1828/6441.

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Research into advanced wind turbine design has shown that load alleviation strategies like bend-twist coupled blades and coned rotors could reduce costs. However these strategies are based on nonlinear aero-structural dynamics providing additional benefits to components beyond the blades. These innovations will require Multi-disciplinary Design Optimization (MDO) to realize the full benefits. This research expands the MDO capabilities of Horizontal Axis Wind Turbines. The early research explored the numerical stability properties of Blade Element Momentum (BEM) models. Then developed a prov
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Binnington, Taylor. "Optimal Siting of Distributed Wind Farms in Ontario, Canada." Thesis, 2013. http://hdl.handle.net/1807/35110.

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Increasing wind penetration adds to the importance of enhancing the reliability of wind, to mitigate the magnitude and frequency of changes in electricity generation. This work addresses how improvements can be made to reliability through the geographic dispersal of wind farms in Ontario, Canada, using modeled North American Regional Reanalysis data. Optimal configurations of wind farm locations are determined according to two criteria. The first selects combinations of wind farms that follow temporal demand patterns, by maximizing the difference between the energy price and the cost of electr
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Books on the topic "Wind Farm Siting"

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Suvire, Gastn Orlando, ed. Wind Farm - Technical Regulations, Potential Estimation and Siting Assessment. InTech, 2011. http://dx.doi.org/10.5772/673.

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Book chapters on the topic "Wind Farm Siting"

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Asnaz, Melike Sultan Karasu, Bedri Yuksel, and Kadriye Ergun. "Optimal Siting of Wind Turbines in a Wind Farm." In Mathematical Modelling and Optimization of Engineering Problems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37062-6_6.

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Shahvali, Salman Kheirabadi, Seyed Hadi Nourbakhsh, and Hamed Ganjavi Shakouri. "Optimal Siting of Offshore Wind Farms." In Progress in Sustainable Energy Technologies: Generating Renewable Energy. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07896-0_28.

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Wan, Chunqiu, Jun Wang, Geng Yang, and Xing Zhang. "Optimal Micro-siting of Wind Farms by Particle Swarm Optimization." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13495-1_25.

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Allinson, Tristram. "Introducing a New Avian Sensitivity Mapping Tool to Support the Siting of Wind Farms and Power Lines in the Middle East and Northeast Africa." In Wind Energy and Wildlife Interactions. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51272-3_12.

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"Appendix III: Climate Condition Survey for a Wind Farm." In Wind Resource Assessment and Micro-Siting. John Wiley & Sons, Singapore Pte. Ltd, 2015. http://dx.doi.org/10.1002/9781118900116.app3.

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Ben, Fathi, and Mustapha Elamouri. "Wind Energy Assessment of the Sidi Daoud Wind Farm - Tunisia." In Wind Farm - Technical Regulations, Potential Estimation and Siting Assessment. InTech, 2011. http://dx.doi.org/10.5772/16536.

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Morrissey, Mark, and Scott Greene. "Advanced Wind Resource Characterization and Stationarity analysis for Improved Wind Farm Siting." In Wind Farm - Technical Regulations, Potential Estimation and Siting Assessment. InTech, 2011. http://dx.doi.org/10.5772/17213.

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Lapk, Vladimr. "Wind Farms and Their Impact on Environment." In Wind Farm - Technical Regulations, Potential Estimation and Siting Assessment. InTech, 2011. http://dx.doi.org/10.5772/16662.

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Paddock, LeRoy C., and Max Greenblum. "Community Benefit Agreements for Wind Farm Siting in Context." In Sharing the Costs and Benefits of Energy and Resource Activity. Oxford University Press, 2016. http://dx.doi.org/10.1093/acprof:oso/9780198767954.003.0009.

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M., Christopher, and Daniel T. "Spatial Diversification of Wind Farms: System Reliability and Private Incentives." In Wind Farm - Technical Regulations, Potential Estimation and Siting Assessment. InTech, 2011. http://dx.doi.org/10.5772/19540.

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Conference papers on the topic "Wind Farm Siting"

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Turner, Trevor B., Ryan F. Schkoda, John R. Wagner, and Robert T. Leitner. "Wind Shear Modeling for Wind Turbine Siting Studies." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2696.

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A wind turbine generator offers a green renewable alternative to the traditional fossil and nuclear fuel processes to generate electrical power. Both wind energy technology and wind turbine farm designs remain in demand given the current growth in energy requirements and the public’s preference for clean sources. Simply put, wind energy offers a safe, relatively cost effective solution for global energy production. For example, the energy demand for populated coastal cities encourages offshore farms to fulfill future electrical needs. Similarly, wind turbines may be placed in land-locked regio
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O'Reilly, Christopher M., Annette R. Grilli, and Gopu R. Potty. "Offshore wind farm siting using a genetic algorithm." In 2012 International Conference on Green Technologies (ICGT). IEEE, 2012. http://dx.doi.org/10.1109/icgt.2012.6477974.

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Qiao, Weiting, Jun Wang, Mengxuan Song, and Yi Wen. "Wind farm micro-siting based on auto-regressive wind prediction." In 2015 IEEE Conference on Control Applications (CCA). IEEE, 2015. http://dx.doi.org/10.1109/cca.2015.7320879.

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O’Reilly, Christopher M., Annette R. Grilli, and Gopu R. Potty. "Micrositing Optimization of the Block Island Wind Farm, RI, USA." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10191.

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The Rhode Island Ocean Special Area Management Plan (RIOSAMP) has been implemented in Rhode Island since 2008 to provide guidance to local regulators in the zoning of renewable energy, with a focus on the siting of offshore wind farms. The project culminated in the siting of the first North American offshore wind project, optimized using a spatial planning approach combining exclusionary and mitigating factors. The optimization of mitigating factors is based on a standard cost model approach and extended to include ecological and societal factors. This macro-siting optimization phase provided
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Adedeji, Paul A., Stephen Akinlabi, Nkosinathi Madushele, and Obafemi O. Olatunji. "Latent Dynamics in Siting Onshore Wind Energy Farms: A Case of a Wind Farm in South Africa." In ASME 2020 Power Conference collocated with the 2020 International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/power2020-16726.

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Abstract Siting a renewable energy facility entails several latent but influential quantitative and qualitative variables. Empirical and analytical models often fail to unravel the dynamics of these variables however; prior knowledge of their existence and dynamics offers knowledge-based decision-making during the plant siting process. This article examines the significance and dynamics of land ownership, avian environment, and renewable energy policies. Asides the literature survey, review of government policy, and regulations, a semi-structured interview-based method was used in this study u
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Yates, Diane. "Siting a wind farm in Oregon: Considering a hierarchical decision model with four scenarios." In 2015 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2015. http://dx.doi.org/10.1109/picmet.2015.7273169.

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Shereiqi, A. Al, A. Al-Hinai, R. Al-Abri, and M. Albadi. "The Effect of Wind Farm Micro-Siting on Output Power: A Case Study in Oman." In 2020 6th IEEE International Energy Conference (ENERGYCon). IEEE, 2020. http://dx.doi.org/10.1109/energycon48941.2020.9236454.

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Zhang, Xiuping, Mingqiang Wang, Xiaoyan Wang, Yichen Song, Yuqian Wu, and Shun Xie. "Optimal Siting and Sizing of Wind Farm Considering Peak Load Regulation Capability of Power System." In 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2019. http://dx.doi.org/10.1109/ei247390.2019.9062201.

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Wang, Chunsheng, Xiao Pan, Yan Liu, Xinyang Deng, Jia Cui, and Qiwei Wang. "Sizing and Siting Strategy of Dispersed Wind Farm for Reducing Network Loss and Improving Loadability." In 2018 IEEE International Conference on Energy Internet (ICEI). IEEE, 2018. http://dx.doi.org/10.1109/icei.2018.00022.

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Wan, Chunqiu, Jun Wang, Geng Yang, and Xing Zhang. "Particle swarm optimization based on Gaussian mutation and its application to wind farm micro-siting." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5716941.

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Reports on the topic "Wind Farm Siting"

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Chen, Zhi, Gia DeBartolo, Michael Delp, Luke Foelsch, Scott N. Spak, and Haifeng Qian. Linn County Wind Farm Siting Analysis. University of Iowa, 2019. http://dx.doi.org/10.17077/rep.005270.

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NREL Studies Wind Farm Aerodynamics to Improve Siting (Fact Sheet). Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1039072.

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