4.16.9. References

ff-Ain88: J. F. Ainslie. Calculating the flowfield in the wake of wind turbines. Journal of Wind Engineering and Industrial Aerodynamics, 27:213–224, 1988. doi:https://doi.org/10.1016/0167-6105(88)90037-2.
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ff-CN96: J. Crank and P. Nicolson. A practical method for numerical evaluation of solutions of partial differencial equations of the heat-conduction type. Advances in Computaional Mathematics, 6:207–226, 1996.
ff-Deal18: P. Doubrawa and et al. Optimization-based calibration of fast.farm parameters against sowfa. In 36th Wind Energy Symposium. Kissimmee, FL, January 2018. AIAA. doi:https://arc.aiaa.org/doi/pdf/10.2514/6.2018-0512.
ff-Geal16: P. M. O. Gebraad and et al. Wind plant power optimization through yaw control using a parametric model for wake effects – a cfd simulation study. Wind Energy, 19(1):95–114, 2016. doi:http://onlinelibrary.wiley.com/doi/10.1002/we.1822/epdf.
ff-Hao16: Y. Hao. Wind Farm Wake Modeling and Analysis of Wake Impacts in a Wind Farm. Phd thesis, University of Massachusetts, Amherst, Massachusetts, 2016.
ff-Heal14: Y. Hao and et al. Implementing the dynamic wake meandering model in the nwtc design codes. In 32nd Wind Energy Symposium. National Harbor, MD, January 2014. AIAA. doi:http://dx.doi.org/10.2514/6.2014-1089.
ff-Jon14: B. Jonkman. Turbsim user's guide v2.00.00. Technical Report NREL/TP-xxxx-xxxxx, National Renewable Energy Laboratory, Golden, CO, October 2014.
ff-Jon13: J. Jonkman. The new modularization framework for the fast wind turbine cae tool. In 51st AIAA Aerospace Sciences Meeting. Dallas, TX, 2013. AIAA.
ff-Jeal09: J. Jonkman and et al. Definition of a 5-mw reference wind turbine for offshore system development. Technical Report NREL/TP-500-38060, National Renewable Energy Laboratory, Golden, CO, February 2009.
ff-Katiceal86: I. Kati\`c and et al. A simple model for cluster efficiency. In European Wind Energy Association Conference and Exhibition. Rome, Italy, 1986.
ff-Keal13: R.-E. Keck and et al. A Consistent Turbulence Formulation for the Dynamic Wake Meandering Model in the Atmospheric Boundary Layer. Phd thesis, DTU, Denmark, 2013.
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ff-Meal16: H. A. Madsen and et al. Wake flow characteristics at high wind speed. In 34th Wind Energy Symposium. San Diego, CA, 2016. AIAA. doi:http://dx.doi.org/10.2514/6.2016-1522.
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ff-Smi06: S. W. Smith. The Scientist and Engineer's Guide to Digital Signal Processing. Californial Technical Publishing, 2006. ISBN 978-0966017632.
ff-Seal14: M. A. Sprague and et al. Fast modular wind turbine cae tool: nonmatching spatial and temporal meshes. In 50th AIAA Aerospace Sciences Meeting. National Harbor, MD, January 2014. AIAA. doi:http://arc.aiaa.org/doi/pdf/10.2514/6.2014-0520.
ff-Seal15: M. A. Sprague and et al. Fast modular framework for wind turbine simulation: new algorithms and numerical examples. In 51th AIAA Aerospace Sciences Meeting. Kissimmee, FL, 2015. AIAA. doi:http://arc.aiaa.org/doi/pdf/10.2514/6.2014-0520.
ff-Tho49: L. H. Thomas. Elliptic problems in linear difference equations over a network. Technical Report, Watson Science Computer Laboratory, New York, NY, 1949.