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Literary linguistics: Open Access research in English language

Strathprints makes available Open Access scholarly outputs by English Studies at Strathclyde. Particular research specialisms include literary linguistics, the study of literary texts using techniques drawn from linguistics and cognitive science.

The team also demonstrates research expertise in Renaissance studies, researching Renaissance literature, the history of ideas and language and cultural history. English hosts the Centre for Literature, Culture & Place which explores literature and its relationships with geography, space, landscape, travel, architecture, and the environment.

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Number of items: 84.

Article

Rubert, T and McMillan, D and Niewczas, P (2017) The effect of upscaling and performance degradation on onshore wind turbine lifetime extension decision making. Journal of Physics: Conference Series, 926. ISSN 1742-6588

Hart, E and Turnbull, A and McMillan, D and Feuchtwang, J and Golysheva, E and Elliott, R (2017) Investigation of the relationship between main-bearing loads and wind field characteristics. Journal of Physics: Conference Series, 926. ISSN 1742-6588

Dinwoodie, Iain and McMillan, David and Lazakis, Iraklis and Dalgic, Yalcin and Revie, Matthew (2017) On modelling insights for emerging engineering problems : a case study on the impact of climate uncertainty on the operational performance of offshore wind farms. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. ISSN 1748-006X (In Press)

Topham, Eva and McMillan, David (2017) Sustainable decommissioning of an offshore wind farm. Renewable Energy, 102 (Part B). pp. 470-480. ISSN 0960-1481

Carroll, James and McDonald, Alasdair and Dinwoodie, Iain and McMillan, David and Revie, Matthew and Lazakis, Iraklis (2016) Availability, operation & maintenance costs of offshore wind turbines with different drive train configurations. Wind Energy. pp. 1-33. ISSN 1095-4244 (In Press)

Catterson, V.M. and McMillan, D. and Dinwoodie, I. and Revie, M. and Dowell, J. and Quigley, J. and Wilson, K. (2016) An economic impact metric for evaluating wave height forecasters for offshore wind maintenance access. Wind Energy, 19 (2). pp. 199-212. ISSN 1095-4244

Dalgic, Yalcin and Lazakis, Iraklis and Dinwoodie, Iain and McMillan, David and Revie, Matthew and Majumder, Jayanta (2015) Cost benefit analysis of mothership concept and investigation of optimum chartering strategy for offshore wind farms. Energy Procedia, 80. pp. 63-71. ISSN 1876-6102

Hawker, Graeme S and McMillan, David A (2015) The impact of maintenance contract arrangements on the yield of offshore wind power plants. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 229 (5). pp. 394-402. ISSN 1748-006X

Dalgic, Yalcin and Lazakis, Iraklis and Dinwoodie, Iain and McMillan, David and Revie, Matthew (2015) Advanced logistics planning for offshore wind farm operation and maintenance activities. Ocean Engineering, 101. pp. 211-226. ISSN 0029-8018

Carroll, James and McDonald, Alasdair and McMillan, David (2015) Reliability comparison of wind turbines with DFIG and PMG drive trains. IEEE Transactions on Energy Conversion, 30 (2). pp. 663-670. ISSN 0885-8969

May, Allan and McMillan, David and Thöns, Sebastian (2015) Economic analysis of condition monitoring systems for offshore wind turbine sub-systems. IET Renewable Power Generation. ISSN 1752-1416

Carroll, James and McDonald, Alasdair and McMillan, David (2015) Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines. Wind Energy. ISSN 1095-4244

Wilson, G and McMillan, D (2014) Assessing wind farm reliability using weather dependent failure rates. Journal of Physics: Conference Series, 524 (1). ISSN 1742-6588

Hill, David and Bell, Keith and McMillan, David and Infield, David (2014) A vector auto-regressive model for onshore and offshore wind synthesis incorporating meteorological model information. Advances in Science and Research, 11. pp. 35-39.

Dinwoodie, Iain Allan and McMillan, David (2014) Operational strategies for offshore wind turbines to mitigate failure rate uncertainty on operational costs and revenue. IET Renewable Power Generation, 8 (4). 359–366. ISSN 1752-1416

Stephen, Bruce and Galloway, Stuart and McMillan, David and Anderson, Lucy and Ault, Graham (2013) Statistical profiling of site wind resource speed and directional characteristics. IET Renewable Power Generation, 7 (6). pp. 583-592. ISSN 1752-1416

Dinwoodie, Iain Allan and McMillan, David and Revie, Matthew and Lazakis, Iraklis and Dalgic, Yalcin (2013) Development of a combined operational and strategic decision support model for offshore wind. Energy Procedia, 35. pp. 157-166. ISSN 1876-6102

Hill, David and McMillan, David and Bell, Keith and Infield, David (2012) Application of auto-regressive models to UK wind speed data for power system impact studies. IEEE Transactions on Sustainable Energy, 3 (1). pp. 134-141. ISSN 1949-3029

Mcmillan, David and Ault, Graham (2011) Quantification of over-speed risk in wind turbine fleets. IEEE Transactions on Sustainable Energy, 2 (4). 487 - 494. ISSN 1949-3029

Stephen, Bruce and Galloway, Stuart J. and McMillan, David and Hill, David C. and Infield, David G. (2011) A copula model of wind turbine performance. IEEE Transactions on Power Systems, 26 (2). pp. 965-966. ISSN 0885-8950

McMillan, David and Ault, G.W. (2010) Techno-economic comparison of operational aspects for direct drive and gearbox-driven wind turbines. IEEE Transactions on Energy Conversion, 25 (1). pp. 191-198. ISSN 0885-8969

McMillan, David and Ault, G.W. (2008) Condition monitoring benefit for onshore wind turbines: sensitivity to operational parameters. IET Renewable Power Generation, 2 (1). pp. 60-72. ISSN 1752-1416

McMillan, D. and Ault, G.W. (2007) Quantification of condition monitoring benefit for offshore wind turbines. Wind Engineering, 31 (4). pp. 267-285. ISSN 0309-524X

Book Section

Browell, Jethro and Gilbert, Ciaran and McMillan, David (2017) Use of turbine-level data for improved wind power forecasting. In: 12th IEEE PES PowerTech Conference. IEEE, Piscataway, NJ. (In Press)

Mills, P. R. and Stephen, B. and McMillan, D. and Lazakis, I. (2016) Towards improved forecasting for offshore wind turbine O&M transfers. In: Renewable Energies Offshore II. CRC Press. ISBN 9781138626270

Browell, J. and Dinwoodie, I. and McMillan, D. (2016) Forecasting for day-ahead offshore maintenance scheduling under uncertainty. In: Proceedings of the European Safety and Reliability (ESREL) Conference, 2016. University of Strathclyde, Glasgow, pp. 1-8. (In Press)

Carroll, James and McDonald, Alasdair and Barrera Martin, Oswaldo and McMillan, David and Bakhshi, Roozbeh (2015) Offshore wind turbine sub-assembly failure rates through time. In: Scientific Proceedings. European Wind Energy Association, pp. 112-116. ISBN 9782930670003

Dawid, Rafael and McMillan, David and Revie, Matthew (2015) Review of Markov models for maintenance optimization in the context of offshore wind. In: Proceedings of the Annual Conference of the Prognostics and Health Management Society 2015. PHM Society, pp. 269-279. ISBN 9781936263202

Carroll, James and McDonald, Alasdair and McMillan, David (2015) Offshore cost of energy for DFIG PRC turbines vs. PMG FRC turbines. In: International Conference on Renewable Power Generation (RPG 2015). IET, Stevenage. ISBN 9781785610400

Hamilton, David I. and McMillan, David and Catterson, Victoria M. (2015) Optimisation of the bidding strategy for wind power trading. In: PowerTech, 2015 IEEE Eindhoven. IEEE. ISBN 9781479976935

May, Allan and McMillan, David and Thons, Sebastian (2015) Integrating structural health and condition monitoring : a cost benefit analysis for offshore wind energy. In: ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. ASME, V009T09A057. ISBN 978-0-7918-5657-4

Dalgic, Y and Lazakis, I and Dinwoodie, I and McMillan, D and Revie, M and Majumder, J (2015) The influence of multiple working shifts for offshore wind farm O&M activities : StrathOW-OM Tool. In: Design and Operation of Offshore Wind Farm Support Vessels 2014. Royal Institution of Naval Architects.

Domínguez-Navarro, José Antonio and Dinwoodie, Iain and McMillan, David (2014) Statistical forecasting for offshore wind helicopter operations. In: 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, Piscataway. NJ., pp. 1-6. ISBN 9781479935611

Dinwoodie, Iain and McMillan, David (2014) Heavy lift vessel strategy analysis for offshore wind. In: European Wind Energy Conference and Exhibition (EWEC 2013). European Wind Energy Association, pp. 1612-1620. ISBN 9781632663146

Thöns, Sebastian and McMillan, David (2014) Condition monitoring benefit for operation support of offshore wind turbines. In: Reliability Modeling and Analysis of Smart Power Systems. Reliable and Sustainable Electric Power and Energy Systems Management . Springer, pp. 169-182. ISBN 9788132217985

McMillan, D. and Dinwoodie, I. (2014) Forecasting long term jack up vessel demand for offshore wind. In: Safety, Reliability and Risk Analysis. CRC Press, pp. 2119-2125. ISBN 978-1-315-81559-6

May, Allan and McMillan, David (2013) Condition based maintenance for offshore wind turbines : the effects of false alarms from condition monitoring systems. In: Safety, Reliability and Risk Analysis: Beyond the Horizon. CRC Press, pp. 783-789. ISBN 9781138001237

Wilson, G. and McMillan, D. (2013) Modeling the relationship between wind turbine failure modes and the environment. In: Safety, Reliability and Risk Analysis. CRC Press, Boca Raton, pp. 801-809. ISBN 9781138001237

McMillan, David and Ault, Graham (2013) Towards reliability centred maintenance of wind turbines. In: Reliability modeling and analysis of smart power systems. Springer. (In Press)

Plumley, Charles Edward and Hill, David and McMillan, David and Bell, Keith and Infield, David (2012) Validating wind field models for power system impact studies. In: International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012). IEEE, Piscataway, New Jersey, pp. 1-6. ISBN 9781849196734

Hill, D. and Mcmillan, D. and Bell, K. and Infield, D. and Ault, G. W. (2010) Application of statistical wind models for system impacts. In: Universities Power Engineering Conference (UPEC), 2009 Proceedings of the 44th International. IEEE. ISBN 978-1-4244-6823-2

Ault, G.W and Mcmillan, David (2008) Specification of reliability benchmarks for offshore wind farms. In: Proceedings of ESREL 2008. CRC Press, pp. 2601-2606. ISBN 978-0-415-48513-5

Conference or Workshop Item

Warnock, John and McMillan, David and Pilgrim, James and Shenton, Sally (2016) Review of offshore cable reliability metrics. In: The 13th International Conference on AC and DC Power Transmission, 2017-02-14 - 2017-02-16, Midland Hotel. (In Press)

Dawid, Rafael and McMillan, David and Revie, Matthew (2016) Development of an O&M tool for short term decision making applied to offshore wind farms. In: WindEurope Summit 2016, 2016-09-27 - 2016-09-30.

Dawid, R. and McMillan, D. and Revie, M. (2016) Time series semi-Markov decision process with variable costs for maintenance planning. In: European Safety and Reliability Conference ESREL 2016, 2016-09-25 - 2016-09-29.

Mills, P R and Stephen, B and McMillan, D and Lazakis, I (2016) Wind and wave directional transit time model for offshore wind operation and maintenance. In: International Conference on Renewable Power Generation 2016, 2016-09-21 - 2016-09-23.

Hart, E. and Keegan, M. and McMillan, D. (2016) A lookup table approach to determining wind turbine operational fatigue loading from wind field measurements. In: ASRANet International Conference on Offshore Renewable Energy, 2016-09-12 - 2016-09-14.

Rubert, T. and Niewczas, P. and McMillan, D. (2016) Life extension for wind turbine structures and foundations. In: International Conference on Offshore Renewable Energy 2016, 2016-09-12 - 2016-09-14, Thistle Glasgow City Hotel. (In Press)

Carroll, James and McDonald, Alasdair and McMillan, David and Stehly, Tyler and Mone, Christopher and Maples, Ben (2015) Cost of energy for offshore wind turbines with different drive train types. In: EWEA 2015 Annual Event, 2015-11-17 - 2015-11-20, Paris expo Porte de Versailles.

Majumder, Jayanta and Lazakis, Iraklis and Dalgic, Yalcin and Dinwoodie, Iain and Revie, Matthew and McMillan, David (2015) Emulation of expensive simulation model for operation and maintenance of offshore wind farms. In: 8th International Conference on Sustainable Energy & Environmental Protection (SEEP 2015), 2015-08-11 - 2015-08-14, http://www.seepconference.co.uk/.

Carroll, James and May, Allan and McDonald, Alasdair and McMillan, David (2015) Availability improvements from condition monitoring systems and performance based maintenance contracts. In: European Wind Energy Association (EWEA) Offshore 2015, 2015-03-10 - 2015-06-12, Bella Center.

Carroll, James and Dinwoodie, Iain and McDonald, Alasdair and McMillan, David (2015) Quantifying O&M savings and availability improvements from wind turbine design for maintenance techniques. In: European Wind Energy Association (EWEA) Offshore 2015, 2015-03-10 - 2015-06-12, Bella Center.

Dalgic, Yalcin and Lazakis, Iraklis and Dinwoodie, Iain and McMillan, David and Revie, Matthew and Majumder, Jayanta (2015) Cost benefit analysis of mothership concept and investigation of optimum operational practice for offshore wind farms. In: EERA DeepWind'2015: 12th Deep Sea Offshore Wind R&D Conference, 2015-02-04 - 2015-02-06, Norway.

Hartwig, Karl Petter and Kockar, Ivana and Gill, Simon and McMillan, David (2014) Challenges to a full energy storage optimisation. In: UK energy storage conference, 2014-11-25 - 2015-11-27, University of Warwick.

May, Allan and McMillan, David and Thöns, Sebastian (2014) Economic analysis of condition monitoring systems for wind turbine sub-systems. In: Durham Risk Day 2014, 2014-11-12 - 2014-11-12.

Dinwoodie, I. and McMillan, D. and Dalgic, Y. and Lazakis, I. and Revie, M. (2014) Quantification of the influence of climate on predicted and observed cost of energy for offshore wind. In: 1st International Conference on Renewable Energies Offshore (RENEW2014), 2014-11-24 - 2014-11-26.

Dalgic, Yalcin and Dinwoodie, Iain Allan and Lazakis, Iraklis and McMillan, David and Revie, Matthew (2014) Optimum CTV fleet selection for offshore wind farm O&M activities. In: ESREL 2014, 2014-09-14 - 2014-09-18, Poland.

Carroll, James and McDonald, Alasdair and McMillan, David and Feuchtwang, Julian (2014) Offshore availability for wind turbines with a hydraulic drive train. In: 3rd Renewable Power Generation Conference (RPG), 2014-09-24 - 2014-09-25.

Carroll, James and McDonald, Alasdair and McMillan, David (2014) Reliability comparison of DFIG drive train configuration with PMG drive train configuration in the first 5 years of operation. In: 3rd Renewable Power Generation Conference (RPG), 2014-09-24 - 2014-09-25.

McMillan, David and Dinwoodie, Iain Allan and Wilson, Graeme and May, Allan and Hawker, Graeme (2014) Asset modelling challenges in the wind energy sector. In: CIGRE Session 2014, 2014-08-24 - 2014-08-30.

McMillan, David and Dominguz Navarra, Jose and Dinwoodie, Iain Allan (2014) Statistical forecasting for offshore wind helicopter operations. In: 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014, 2014-07-07 - 2014-07-10.

Carroll, James and McDonald, Alasdair and Feuchtwang, Julian and McMillan, David (2014) Drivetrain availability in offshore wind turbines. In: European Wind Energy Association 2014 Annual Conference, 2014-03-10 - 2014-03-13.

Wilson, Graeme and McMillan, David (2014) Quantifying the impact of wind speed on wind turbine component failure rates. In: European Wind Energy Association 2014 Annual Conference, 2014-03-10 - 2014-03-13.

May, Allan and McMillan, David and Thoens, Sebastian (2014) Economic analysis of condition monitoring systems for offshore wind turbine sub-systems. In: EWEA Annual Conference 2014, 2014-03-10 - 2014-03-14.

Hawker, Graeme and McMillan, David and Zitrou, Athena (2014) Modelling the effect of maintenance strategies and reliability for long-term wind yield assessment. In: European Wind Energy Association 2014 Annual Conference, 2014-03-10 - 2014-03-13.

Wilson, Graeme and McMillan, David (2013) Modelling the impact of the environment on offshore wind turbine failure rates. In: EWEA Offshore 2013, 2013-11-19 - 2013-11-21.

Wilson, Graeme and McMillan, David (2013) Modeling the effects of seasonal weather and site conditions on wind turbine failure modes. In: ESREL 2013, 2013-09-30.

May, Allan and McMillan, David (2013) Condition based maintenance for offshore wind turbines : the effects of false alarms from condition monitoring systems. In: ESREL 2013, 2013-09-30.

McMillan, David and Dinwoodie, Iain Allan (2013) Forecasting long term jack up vessel demand for offshore wind. In: ESREL 2013, 2013-09-30.

Dinwoodie, I. and Catterson, V. M. and McMillan, D. (2013) Wave height forecasting to improve off-shore access and maintenance scheduling. In: 2013 IEEE Power & Energy Society General Meeting, 2013-07-21 - 2013-07-25.

Stephen, Bruce and Gill, Simon and Galloway, Stuart and Wang, Yue and McMillan, David and Infield, David (2013) Wind turbine operation anomaly detection using copula statistics. In: EWEA Annual Wind Energy Event 2013, 2013-02-04 - 2013-02-07.

Dinwoodie, Iain Allan and McMillan, David (2013) Heavy lift vessel strategy analysis for offshore wind. In: EWEA Annual Wind Energy Event 2013, 2013-02-04 - 2013-02-07.

Dinwoodie, Iain and McMillan, David and Revie, Matthew and Lazakis, Iraklis and Dalgic, Yalcin (2013) Development of a combined operational and strategic decision support model for offshore wind. In: DeepWind'2013, 2013-01-24 - 2013-01-25.

Wilson, Graeme and McMillan, David (2012) Modeling the effects of the environment on wind turbine failure modes using neural networks. In: IET International Conference on Sustainable Power Generation and Supply, 2012-09-08 - 2012-09-09.

Dinwoodie, Iain Allan and McMillan, David and Quail, Francis (2012) Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach. In: ASME Turbo Expo 2012, 2012-06-11 - 2012-06-15.

Thöns, Sebastian and McMillan, David (2012) Condition monitoring benefit for offshore wind turbines. In: PMAPS 2012, 2012-06-10 - 2012-06-14.

Mcmillan, David (2012) Impact of retro fits and post-warranty failures on wind farm maintenance cost. In: PMAPS 2012, 2012-06-10 - 2012-06-14.

Mcmillan, David and Ault, Graham (2012) Towards reliability centred maintenance of wind turbines. In: PMAPS 2012, 2012-06-10 - 2012-06-14.

Mcmillan, David and Hill, David (2012) Vector auto-regression applied to UK wind speed data. In: PMAPS 2012, 2012-06-10 - 2012-06-14.

Mcmillan, David and Ault, Graham W. (2012) Wind farm capital cost regression model for accurate life cycle cost estimation. In: PMAPS 2012, 2012-06-10 - 2012-06-14.

Dinwoodie, Iain Allan and McMillan, David and Quail, Francis (2012) Sensitivity of offshore wind turbine operation & maintenance costs to key operational parameters. In: European Safety Reliability and Data Analysis Conference ESReDA 2012, 2012-05-15 - 2012-09-16.

Bell, K.R.W. and Hill, D.C. and McMillan, D. and Li, F. and Dunn, R.W. and Infield, D.G. and Ault, G.W. Financial support for the work reported in section 4 was received from the UK government’s Dept of Energy and Climate Change. (Funder) (2010) Spatio-temporal correlations of available wind power and impact on transmission power flows. In: 43rd CIGRE session, 2010-08-08.

Ault, G.W and Mcmillan, David (2008) Specification of reliability benchmarks for offshore wind farms. In: ESREL 2008, 1900-01-01, Valencia.

Mcmillan, David and Ault, G.W. (2007) Towards quantification of condition monitoring benefit for wind turbine generators. In: European Wind Energy Conference & Exhibition 2007, 2007-05-07 - 2007-05-10.

This list was generated on Mon Dec 18 14:54:15 2017 GMT.