Iain Dinwoodie
Titolo
Citata da
Citata da
Anno
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
982015
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
922015
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
732013
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
662017
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
362012
Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms
IB Sperstad, M Stlhane, I Dinwoodie, OEV Endrerud, R Martin, E Warner
Ocean Engineering 145, 334-343, 2017
242017
Sensitivity of offshore wind turbine operation & maintenance costs to key operational parameters
IA Dinwoodie, D McMillan, F Quail
European Safety Reliability and Data Analysis Conference ESReDA 2012, 2012
232012
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
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
212014
Heavy lift vessel strategy analysis for offshore wind
I Dinwoodie, D McMillan
European Wind Energy Conference and Exhibition, EWEC 2013, 1612-1620, 2014
122014
Forecasting for day-ahead offshore maintenance scheduling under uncertainty
J Browell, I Dinwoodie, D McMillan
University of Strathclyde, 2016
112016
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
112013
Direct measurement of wind turbine wakes using remote sensing
PJM Clive, I Dinwoodie, F Quail
Proc. EWEA 2011, 2011
112011
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
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
82015
Modelling the operation and maintenance of offshore wind farms
I Dinwoodie
University of Strathclyde, 2014
72014
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
52015
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 Stlhane, I Dinwoodie, OEV Endrerud, R Martin, E Warner
Unpublished, 2016
42016
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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