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David McMillan
David McMillan
Verified email at eee.strath.ac.uk
Title
Cited by
Cited by
Year
Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines
J Carroll, A McDonald, D McMillan
Wind Energy 19 (6), 1107-1119, 2016
6562016
Reliability comparison of wind turbines with DFIG and PMG drive trains
J Carroll, A McDonald, D McMillan
IEEE Transactions on Energy Conversion 30 (2), 663-670, 2014
2522014
Sustainable decommissioning of an offshore wind farm
E Topham, D McMillan
Renewable energy 102, 470-480, 2017
2332017
Application of auto-regressive models to UK wind speed data for power system impact studies
DC Hill, D McMillan, KRW Bell, D Infield
IEEE Transactions on Sustainable Energy 3 (1), 134-141, 2011
2192011
Quantification of condition monitoring benefit for offshore wind turbines
D McMillan, GW Ault
Wind engineering 31 (4), 267-285, 2007
1992007
Condition monitoring benefit for onshore wind turbines: sensitivity to operational parameters
D McMillan, GW Ault
IET Renewable Power Generation 2 (1), 60-72, 2008
1822008
Advanced logistics planning for offshore wind farm operation and maintenance activities
Y Dalgic, I Lazakis, I Dinwoodie, D McMillan, M Revie
Ocean Engineering 101, 211-226, 2015
1692015
Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations
J Carroll, A McDonald, I Dinwoodie, D McMillan, M Revie, I Lazakis
Wind Energy 20 (2), 361-378, 2017
1492017
Development of a combined operational and strategic decision support model for offshore wind
I Dinwoodie, D McMillan, M Revie, I Lazakis, Y Dalgic
Energy Procedia 35, 157-166, 2013
1102013
A copula model of wind turbine performance
B Stephen, SJ Galloway, D McMillan, DC Hill, DG Infield
IEEE Transactions on Power Systems 26 (2), 965-966, 2010
1012010
Techno-economic comparison of operational aspects for direct drive and gearbox-driven wind turbines
D McMillan, GW Ault
IEEE Transactions on Energy Conversion 25 (1), 191-198, 2010
1012010
Recycling offshore wind farms at decommissioning stage
E Topham, D McMillan, S Bradley, E Hart
Energy policy 129, 698-709, 2019
772019
A decision support tool to assist with lifetime extension of wind turbines
T Rubert, D McMillan, P Niewczas
Renewable energy 120, 423-433, 2018
712018
Leveraging turbine-level data for improved probabilistic wind power forecasting
C Gilbert, J Browell, D McMillan
IEEE Transactions on Sustainable Energy 11 (3), 1152-1160, 2019
702019
Challenges of decommissioning offshore wind farms: Overview of the European experience
E Topham, E Gonzalez, D McMillan, E Joćo
Journal of Physics: Conference Series 1222 (1), 012035, 2019
612019
Analysis of offshore wind turbine operation and maintenance using a novel time domain meteo-ocean modeling approach
I Dinwoodie, F Quail, D McMillan
Turbo Expo: Power for Land, Sea, and Air 44724, 847-857, 2012
542012
Operation and maintenance for floating wind turbines: A review
J McMorland, M Collu, D McMillan, J Carroll
Renewable and Sustainable Energy Reviews 163, 112499, 2022
462022
Towards quantification of condition monitoring benefit for wind turbine generators
D McMillan, GW Ault
European Wind Energy Conference & Exhibition 2007, 1-11, 2007
442007
Offshore wind, ready to float? Global and UK trends in the floating offshore wind market
M Hannon, E Topham, J Dixon, D McMillan, M Collu
University of Strathclyde, 2019
412019
Assessing wind farm reliability using weather dependent failure rates
G Wilson, D McMillan
Journal of physics: conference series 524 (1), 012181, 2014
412014
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