Networking of Distributed Sensors for Proactive Condition Monitoring of Wind Turbines

Completed

Renewable Energy Sources(Wind Energy)

Basic and strategic applied research

PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics)
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)

Not Cross-cutting

Professor KJ Turner
Computing Science and Mathematics
University of Stirling

Standard

EPSRC

01 October 2005

30 November 2008

38 months

£238,469

Info. & commun. Technol.

Scotland

Information & Communication Technology

Professor KJ Turner, Computing Science and Mathematics, University of Stirling

Professor EH Magill, Computing Science and Mathematics, University of Stirling

Project Contact, Scottish Power Ltd
Project Contact, Agilent Technologies UK Ltd
Project Contact, Moog Insensys Ltd
Project Contact, MESL Microwave Limited
Project Contact, National Engineering Laboratory
Project Contact, Institute for Space Astrophysics and Planetology

NB This grant is linked to EP/C014790/1 and EP/C547594/1

This project addresses the investigation and demonstration of techniques that enable proactive automated control and management of sensor arrays, focusing in particular on applications of sensor arrays in the operation and management of wind farms. The research will identify desirable proactive behaviours and propose novel nature-inspired algorithms to deliver them. It will also explore mechanisms that facilitate the use of proactive control and management software includinga) a policy drivenmanagement infrastructure that will use high level user goals to constrain the instrument level proactive behaviours,b) a parallel platform that supports appropriate observation, communication and actuation, andc) a lightweight, resilient peer to peer wireless communications architecture.The project will integrate the results of this research into a large scale demonstration intended for deployment at a hilltop windfarm

13/08/07