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Bart Doekemeijer
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A tutorial on control-oriented modeling and control of wind farms
S Boersma, BM Doekemeijer, PMO Gebraad, PA Fleming, J Annoni, ...
2017 American control conference (ACC), 1-18, 2017
1602017
A control-oriented dynamic wind farm model: WFSim
S Boersma, B Doekemeijer, M Vali, J Meyers, JW van Wingerden
Wind Energy Science 3 (1), 75-95, 2018
672018
Robust active wake control in consideration of wind direction variability and uncertainty
A Rott, B Doekemeijer, JK Seifert, JW van Wingerden, M Kühn
Wind energy science 3 (2), 869-882, 2018
512018
A constrained wind farm controller providing secondary frequency regulation: An LES study
S Boersma, BM Doekemeijer, S Siniscalchi-Minna, JW van Wingerden
Renewable energy 134, 639-652, 2019
342019
A control-oriented dynamic wind farm flow model:“WFSim”
S Boersma, PMO Gebraad, M Vali, BM Doekemeijer, JW Van Wingerden
Journal of Physics: Conference Series 753 (3), 032005, 2016
342016
Closed-loop model-based wind farm control using FLORIS under time-varying inflow conditions
BM Doekemeijer, D van der Hoek, JW van Wingerden
Renewable Energy 156, 719-730, 2020
332020
Ensemble Kalman filtering for wind field estimation in wind farms
BM Doekemeijer, S Boersma, LY Pao, JW van Wingerden
2017 American Control Conference (ACC), 19-24, 2017
332017
A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model
BM Doekemeijer, JW Van Wingerden, PA Fleming
2019 American Control Conference (ACC), 2825-2836, 2019
272019
Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control
BM Doekemeijer, S Boersma, LY Pao, T Knudsen, JW van Wingerden
Wind Energy Science 3 (2), 749-765, 2018
252018
Field experiment for open-loop yaw-based wake steering at a commercial onshore wind farm in Italy
BM Doekemeijer, S Kern, S Maturu, S Kanev, B Salbert, J Schreiber, ...
Wind Energy Science 6 (1), 159-176, 2021
232021
Expert elicitation on wind farm control
JW van Wingerden, PA Fleming, T Göçmen, I Eguinoa, BM Doekemeijer, ...
Journal of Physics: Conference Series 1618 (2), 022025, 2020
232020
Enhanced Kalman filtering for a 2D CFD NS wind farm flow model
BM Doekemeijer, JW Van Wingerden, S Boersma, LY Pao
Journal of Physics: Conference Series 753 (5), 052015, 2016
222016
The helix approach: Using dynamic individual pitch control to enhance wake mixing in wind farms
JA Frederik, BM Doekemeijer, SP Mulders, JW van Wingerden
Wind Energy 23 (8), 1739-1751, 2020
212020
Validation of a lookup-table approach to modeling turbine fatigue loads in wind farms under active wake control
H Mendez Reyes, S Kanev, B Doekemeijer, JW van Wingerden
Wind Energy Science 4 (4), 549-561, 2019
172019
Field experiment for open-loop yaw-based wake steering at a commercial onshore wind farm in italy
BM Doekemeijer, S Kern, S Maturu, S Kanev, B Salbert, J Schreiber, ...
Wind Energy Science Discussions 2020, 1-22, 2020
102020
Lidar-based closed-loop wake redirection in high-fidelity simulation
S Raach, S Boersma, B Doekemeijer, JW van Wingerden, PW Cheng
Journal of Physics: Conference Series 1037 (3), 032016, 2018
102018
Observability of the ambient conditions in model‐based estimation for wind farm control: A focus on static models
B Doekemeijer, JW van Wingerden
Wind Energy 23 (9), 1777-1791, 2020
72020
Adaptation of engineering wake models using gaussian process regression and high-fidelity simulation data
LE Andersson, B Doekemeijer, D Van Der Hoek, JW van Wingerden, ...
Journal of Physics: Conference Series 1618 (2), 022043, 2020
52020
Stochastic model predictive control: uncertainty impact on wind farm power tracking
S Boersma, BM Doekemeijer, T Keviczky, JW van Wingerdenl
2019 American Control Conference (ACC), 4167-4172, 2019
42019
Joint state-parameter estimation for a control-oriented LES wind farm model
BM Doekemeijer, S Boersma, LY Pao, JW Van Wingerden
Journal of Physics: Conference Series 1037 (3), 032013, 2018
42018
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Artikelen 1–20