Projects: Projects for Investigator UKERC Home UKERC Energy Data Centre Projects Choose Investigator All Projects involving EP/C014804/1
Reference Number	EP/C014804/1
Title	Networking of Distributed Sensors for Proactive Condition Monitoring of Wind Turbines
Status	Completed
Energy Categories	RENEWABLE ENERGY SOURCES(Wind Energy) 100%;
Research Types	Basic and strategic applied research 100%
Science and Technology Fields	PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 50%; PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%;
UKERC Cross Cutting Characterisation	Not Cross-cutting 100%
Principal Investigator	Professor KJ Turner No email address given Computing Science and Mathematics University of Stirling
Award Type	Standard
Funding Source	EPSRC
Start Date	01 October 2005
End Date	30 November 2008
Duration	38 months
Total Grant Value	£238,469
Industrial Sectors	Communications; Environment
Region	Scotland
Programme	Information & Communication Technology
Investigators	Principal Investigator	Professor KJ Turner , Computing Science and Mathematics, University of Stirling (99.999%)
	Other Investigator	Professor EH Magill , Computing Science and Mathematics, University of Stirling (0.001%)
	Industrial Collaborator	Project Contact , Scottish Power Ltd (0.000%) Project Contact , Moog Insensys Ltd (0.000%) Project Contact , National Engineering Laboratory (0.000%) Project Contact , MESL Microwave Limited (0.000%) Project Contact , Agilent Technologies UK Ltd (0.000%)
Web Site
Objectives	NB This grant is linked to EP/C014790/1 and EP/C547594/1
Abstract	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
Publications	(none)
Final Report	(none)
Added to Database	13/08/07