HOME-Offshore: Holistic Operation and Maintenance for Energy from Offshore Wind Farms

Completed

Renewable Energy Sources(Wind Energy)

Basic and strategic applied research

ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering)

Not Cross-cutting

Dr M Barnes
Electrical & Electronic Engineering
University of Manchester

Standard

EPSRC

11 April 2017

10 November 2020

43 months

£3,048,221

Energy

North West

Energy : Energy

Dr M Barnes, Electrical & Electronic Engineering, University of Manchester

Dr K Brown, School of Engineering and Physical Sciences, Heriot-Watt University
Dr M Collu, Naval Architecture & Marine Engineering, University of Strathclyde
Dr CJ Crabtree, Engineering, Durham University
Dr W Crowther, Mechanical, Aerospace and Civil Engineering, University of Manchester
Dr S Djurovic, Electrical & Electronic Engineering, University of Manchester
Dr D Flynn, School of Engineering and Physical Sciences, Heriot-Watt University
Mr PR Green, Electrical & Electronic Engineering, University of Manchester
Dr B Kazemtabrizi, Engineering, Durham University
Professor J Keane, Computer Science, University of Manchester
Professor D Lane, School of Engineering and Physical Sciences, Heriot-Watt University
Dr O Marjanovic, Electrical & Electronic Engineering, University of Manchester
Professor P Mawby, School of Engineering, University of Warwick
Professor G Nenadic, Computer Science, University of Manchester
Professor L Ran, School of Engineering, University of Warwick
Dr SA Watson, Electrical & Electronic Engineering, University of Manchester

Project Contact, Offshore Renewable Energy Catapult
Project Contact, DNV GL (UK)
Project Contact, British Approvals Service for Cables (BASEC)
Project Contact, High Speed Sustainable Manufacturing Institute Ltd (HSSMI Ltd)
Project Contact, Nova Innovation Ltd
Project Contact, BPP-TECH
Project Contact, Fugro GeoServices Ltd
Project Contact, CENSIS
Project Contact, University of Edinburgh
Project Contact, European Marine Energy Centre (EMEC)
Project Contact, Hydrason Solutions Ltd
Project Contact, Siemens plc (UK)
Project Contact, Lakes College West Cumbria
Project Contact, SP Energy Networks

This project will undertake the research necessary for the remote inspection and asset management of offshore wind farms and their connection to shore. This industry has the potential to be worth 2billion annually by 2025 in the UK alone according to studies for the Crown Estate. At present most Operation and Maintenance (O&M) is still undertaken manually onsite. Remote monitoring through advanced sensing, robotics, data-mining and physics-of-failure models therefore has significant potential to improve safety and reduce costs.Typically 80-90% of the cost of offshore O&M according to the Crown Estate is a function of accessibility during inspection - the need to get engineers and technicians to remote sites to evaluate a problem and decide what remedial action to undertake. Minimising the need for human intervention offshore is a key route to maximising the potential, and minimising the cost, for offshore low-carbon generation. This will also ensure potential problems are picked up early, when the intervention required is minimal, before major damage has occurred and when maintenance can be scheduled during a good weather window. As the Crown Estate has identified: "There is an increased focus on design for reliability and maintenance in the industry in general, but the reality is that there is a still a long way to go. Wind turbine, foundation and electrical elements of the project infrastructure would all benefit from innovative solutions which can demonstrably reduce O&M spending and downtime". Recent, more detailed, academic studies support this position.The wind farm is however an extremely complicated system-of-systems consisting of the wind turbines, the collection array and the connection to shore. This consists of electrical, mechanical, thermal and materials engineering systems and their complex interactions. Data needs to be extracted from each of these, assessed as to its significance and combined in models that give meaningful diagnostic and prognstic information. This needs to be achieved without overwhelming the user. Unfortunately, appropriate multi-physics sensing schemes and reliability models are a complex and developing field, and the required knowledge base is presently scattered across a variety of different UK universities and subject specialisms.This project will bring together and consolidate theoretical underpinning research from a variety of disparate prior research work, in different subject areas and at different universities. Advanced robotic monitoring and advanced sensing techniques will be integrated into diagnostic and prognostic schemes which will allow improved information to be streamed into multi-physics operational models for offshore windfarms. Life-time, reliability and physics of failure models will be adapted to provide a holistic view of wind-farms system health and include these new automated information flows. While aspects of the techniques required in this offshore application have been previously used in other fields, they are innovative for the complex problems and harsh environment in this offshore system-of-systems. 'Marinising' these methods is a substantial challenge in itself. The investigation of an integrated monitoring platform and the reformulation of models and techniques to allow synergistic use of data flow in an effective and efficient diagnostic and prognostic model is ambitious and would allow a major step change over present practice.

13/11/18