Iain Dinwoodie
Title
Cited by
Cited by
Year
Reference cases for verification of operation and maintenance simulation models for offshore wind farms
I Dinwoodie, OEV Endrerud, M Hofmann, R Martin, IB Sperstad
Wind Engineering 39 (1), 1-14, 2015
932015
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
802015
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
672013
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
562017
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
352012
Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms
IB Sperstad, M Stålhane, I Dinwoodie, OEV Endrerud, R Martin, E Warner
Ocean Engineering 145, 334-343, 2017
222017
Optimum CTV fleet selection for offshore wind farm O&M activities
Y Dalgic, IA Dinwoodie, I Lazakis, D McMillan, M Revie
ESREL 2014, 2014
212014
Sensitivity of offshore wind turbine operation & maintenance costs to operational parameters
I Dinwoodie, D McMillan
Proceedings of the 42nd ESReDA Seminar on Risk and Reliability for Wind …, 2012
212012
Operational strategies for offshore wind turbines to mitigate failure rate uncertainty on operational costs and revenue
IA Dinwoodie, D McMillan
IET Renewable Power Generation 8 (4), 359-366, 2014
192014
Heavy lift vessel strategy analysis for offshore wind
I Dinwoodie, D McMillan
European Wind Energy Conference and Exhibition, EWEC 2013, 1612-1620, 2014
132014
Forecasting for day-ahead offshore maintenance scheduling under uncertainty
J Browell, I Dinwoodie, D McMillan
University of Strathclyde, 2016
102016
Direct measurement of wind turbine wakes using remote sensing
PJM Clive, I Dinwoodie, F Quail
Proc. EWEA, 2011
102011
An economic impact metric for evaluating wave height forecasters for offshore wind maintenance access
VM Catterson, D McMillan, I Dinwoodie, M Revie, J Dowell, J Quigley, ...
Wind Energy 19 (2), 199-212, 2016
82016
Wave height forecasting to improve off-shore access and maintenance scheduling
I Dinwoodie, VM Catterson, D McMillan
2013 IEEE Power & Energy Society General Meeting, 1-5, 2013
82013
Cost benefit analysis of mothership concept and investigation of optimum chartering strategy for offshore wind farms
Y Dalgic, I Lazakis, I Dinwoodie, D McMillan, M Revie, J Majumder
Energy Procedia 80, 63-71, 2015
72015
Modelling the operation and maintenance of offshore wind farms
I Dinwoodie
University of Strathclyde, 2014
62014
Quantifying O&M savings and availability improvements from wind turbine design for maintenance techniques
J Carroll, I Dinwoodie, A McDonald, D McMillan
European Wind Energy Association (EWEA) Offshore 2015, 2015
52015
Forecasting long term jack up vessel demand for offshore wind
D McMillan, IA Dinwoodie
ESREL 2013, 2013
52013
Testing the robustness of optimal vessel fleet selection for operation and maintenance of offshore wind farms
IB Sperstad, M Stålhane, I Dinwoodie, OEV Endrerud, R Martin, E Warner
Unpublished, 2016
42016
The influence of multiple working shifts for offshore wind farm O&M activities–StrathOW-OM tool
Y Dalgic, I Lazakis, I Dinwoodie, D McMillan, M Revie, J Majumder
Design & Operation of Wind Farm Support Vessels, 28-29, 2015
42015
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