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 | 220 | 2017 |
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 | 125 | 2018 |
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 | 96 | 2020 |
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 | 93 | 2020 |
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 | 82 | 2021 |
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 | 74 | 2018 |
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 | 65 | 2019 |
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 | 52 | 2020 |
The revised FLORIDyn model: Implementation of heterogeneous flow and the Gaussian wake M Becker, B Ritter, B Doekemeijer, D van der Hoek, U Konigorski, ... Wind Energy Science Discussions 2022, 1-25, 2022 | 46 | 2022 |
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 | 45 | 2019 |
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 | 45 | 2016 |
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 | 42 | 2018 |
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 | 39 | 2017 |
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 | 37 | 2019 |
Addressing deep array effects and impacts to wake steering with the cumulative-curl wake model CJ Bay, P Fleming, B Doekemeijer, J King, M Churchfield, R Mudafort Wind Energy Science Discussions 2022, 1-28, 2022 | 30 | 2022 |
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 | 24 | 2016 |
Serial-refine method for fast wake-steering yaw optimization PA Fleming, APJ Stanley, CJ Bay, J King, E Simley, BM Doekemeijer, ... Journal of Physics: Conference Series 2265 (3), 032109, 2022 | 19 | 2022 |
Comparison of the Gaussian wind farm model with historical data of three offshore wind farms BM Doekemeijer, E Simley, P Fleming Energies 15 (6), 1964, 2022 | 19 | 2022 |
Experimental results of wake steering using fixed angles P Fleming, M Sinner, T Young, M Lannic, J King, E Simley, B Doekemeijer Wind Energy Science 6 (6), 1521-1531, 2021 | 18 | 2021 |
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 | 12 | 2020 |