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Dr David McMillan

Strathclyde Chancellor'S Fellow

Electronic and Electrical Engineering

Publications

A decision support tool to assist with lifetime extension of wind turbines
Rubert T., McMillan D., Niewczas P.
Renewable Energy Vol 120, pp. 423-433, (2018)
http://dx.doi.org/10.1016/j.renene.2017.12.064
The effect of upscaling and performance degradation on onshore wind turbine lifetime extension decision making
Rubert T, McMillan D, Niewczas P
Journal of Physics Conference Series Vol 926, (2017)
http://dx.doi.org/10.1088/1742-6596/926/1/012013
Investigation of the relationship between main-bearing loads and wind field characteristics
Hart E, Turnbull A, McMillan D, Feuchtwang J, Golysheva E, Elliott R
Journal of Physics Conference Series Vol 926, (2017)
http://dx.doi.org/10.1088/1742-6596/926/1/012010
On modelling insights for emerging engineering problems : a case study on the impact of climate uncertainty on the operational performance of offshore wind farms
Dinwoodie Iain, McMillan David, Lazakis Iraklis, Dalgic Yalcin, Revie Matthew
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, (2017)
Use of turbine-level data for improved wind power forecasting
Browell Jethro, Gilbert Ciaran, McMillan David
12th IEEE PES PowerTech Conference, (2017)
Sustainable decommissioning of an offshore wind farm
Topham Eva, McMillan David
Renewable Energy Vol 102, pp. 470-480, (2017)
http://dx.doi.org/10.1016/j.renene.2016.10.066

more publications

Teaching

  • wind power forecasting
  • distribution system load flow
  • small group tutorials

Research interests

 

+ Reliability Analysis
+ Decision Analysis
+ Probabilistic Modelling
+ Applied Statistics

 

Applications

+ Wind Energy

+ Asset Management

+ Energy Policy

+ Energy Security

 

Other areas of Interest

  • Reliability Engineering
  • Reliability Centred Maintenance
  • Wind Turbine Safety Systems
  • Operation and Maintenance Modelling
  • Decision Analysis
  • Probabilistic Modelling

 

Professional activities

EPSRC (Engineering and Physical Sciences Research Council) (External organisation)
Member
2017
Ocean and Coastal Management (Journal)
Peer reviewer
2017
EPSRC (Journal)
Peer reviewer
9/2016
Viva examiner for PhD thesis on offshore wind condition monitoring economics - Xi Yu
External Examiner
10/6/2016
IEEE pes 2016 general meeting (Journal)
Peer reviewer
2016
Leverhulme Trust (Publisher)
Peer reviewer
2016

more professional activities

Projects

Reliability-Cost Analysis of Subsea Transmission Cables (with BVG) [£10,000]
McMillan, David (Principal Investigator) Warnock, John (Researcher)
The underpinning work focusses on offshore wind, concentrating on the field of subsea transmission links to offshore wind farms. The outcomes will include a database of reliability figures for current offshore wind farms as well as a tool to determine the reliability of prospective cables over their lifetime. This is a new capability unlocked by the research, which is needed because of the lack of any published data and models in this area. The IAA will build on the outcomes of the EPSRC research and look to build new capability in BVG to assess the reliability and quantify the risk of offshore transmission assets (OFTOs) by operationalizing the research as a desktop tool.
BVG Associates will benefit from the expansion of this work which will be developed into a tool which can be used by academia and industry in order to determine the failures that will be experienced. As such the respective costs can also be calculated, as BVGs consultancy business would utilize this when performing due diligence for investors.
BVG Associates are an engineering consultancy with a focus on the sustainable energy sector. They are involved in a range of activities from site assessment and owners engineer to due diligence on asset purchases and through life management particularly for wind assets. Their activities on Levelised cost of energy (LCoE) also relate to the longer term energy cost trajectory of wind.
Recently their OFTO (offshore transmission owner) work has focused on advisory work on acquisition of OFTO assets from project developers to strategic owners (hedge funds, pension pots etc). There is a need for this service to be more grounded in operational experience (of which there is little information in the public domain). One key challenge is the relative lack of operational data on live OFTOs, to condition risk in an asset purchase and to adequately size any contingency budget. We propose that this capability should be provided by Strathclyde who have extracted operational metrics from a diverse range of sources (including marine bulletins and other published sources). Such a new model would provide greater validity than the standard business as usual approach of using Cigre report metrics – representing assets working in completely different operating regimes (large inter-country cables at very high burial depths).
Period 01-Nov-2017 - 28-Feb-2018
Advanced Offshore Wind Farm Maintenance Scheduling (with Sennen) [£10,000]
McMillan, David (Principal Investigator) Dawid, Rafael (Researcher)
EP/P019544/1 focused on improved decisions in an operational context for wind power cost reduction.
One of the new areas for improvement identified on the project was the prioritisation of maintenance tasks for the offshore despatch teams. No standard approach exists, and in discussion with a major turbine OEM it became clear that there is no optimisation done (as current business as usual) to prioritise
jobs. Strathclyde has developed an optimisation approach which shows real promise [Dawid, R., McMillan, D., Revie, M. Time series semi-markov decision process with variable costs for maintenance planning, ESREL 2016, p. 183).
This IAA will facilitate the initial build of such an optimisation capability within Sennen (Primary job of the impact champion), who will then use it to optimise maintenance at their client sites (primarily London Array).
We have demonstrated a potential availability uplift of 0.1 – 0.4% by utilising such an optimised approach [Browell, J., Dinwoodie, I., McMillan, D.; Forecasting for day-ahead offshore maintenance scheduling under uncertainty, ESREL 2016, p. 182.]. This translates to a cost saving (in terms of yield uplift) of £40,000 - £160,000 for every 100MW of offshore wind capacity (assuming 40% capacity factor).
Sennen provide software and services direct to the renewables industry, principally offshore wind. Their software platform has been extensively used for marine operations at London Array. However, the vessel routing and task
prioritization aspects of the marine operations module are fairly basic, and they would look to work with the impact champion to integrate the optimization work through the KTP. The IAA would enable this work to begin, by facilitating the necessary training of the impact champion in the technology required to integrate the algorithms.
Period 01-Nov-2017 - 15-Mar-2018
KTP - Insight Analytics
McMillan, David (Principal Investigator) Browell, Jethro (Co-investigator) Stephen, Bruce (Co-investigator)
Period 04-Sep-2017 - 03-Sep-2020
Impact Acceleration Account - University Of Strathclyde 2012 / R120526-246
McMillan, David (Principal Investigator)
Period 01-Oct-2012 - 31-Mar-2017
Towards Game-changer Service Operation Vessels for Offshore Windfarms (NEXUS) H2020-BG-2016-2017
Vassalos, Dracos (Principal Investigator) Bedford, Tim (Co-investigator) Boulougouris, Evangelos (Co-investigator) Bujorianu, Luminita (Co-investigator) Lazakis, Iraklis (Co-investigator) McMillan, David (Co-investigator) Puisa, Romanas (Co-investigator) Quigley, John (Co-investigator) Revie, Matthew (Co-investigator) Theotokatos, Gerasimos (Co-investigator) Walls, Lesley (Co-investigator)
Period 01-Nov-2017 - 31-Oct-2020
TIC LCPE Wind Turbine Foundation Research & Structural Health Monitoring (AM06) | Rubert, Tim
Niewczas, Pawel (Principal Investigator) McMillan, David (Co-investigator) Rubert, Tim (Research Co-investigator)
Period 01-Oct-2014 - 01-Oct-2018

more projects

Address

Electronic and Electrical Engineering
Royal College Building

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