Adaptive power management strategies for arrays of oscillating water column wave energy converters. Self-funded PhD in Renewable Energy Ref: 3077

About the Research Project

Location: University of Exeter Penryn Campus, Penryn, Cornwall, TR10 9FE, UK

Academic Supervisors: Dr Mohammad Abusara

Project Description:
The aim of this project is to develop a novel framework of optimal and adaptive control strategies for large arrays of oscillating water columns (OWC) that can guarantee maximum power on the one hand, and minimum power oscillation on the other. The framework will combine multi-objective optimisation with adaptive learning algorithms. First, we will analyse the response of OWC networks to different sea states and wave conditions. Second, we will build a combined individual (distributed) and central (supervisory) control architecture. Distributed optimal control strategies for the turbine and generator configurations will be integrated into a supervisory adaptive control network to address the two control objectives: (a) optimising power generation of individual OWCs while adaptively establishing a power phase shift regime for the OWC array to reduce overall power oscillation; (b) robust operation via adaptive learning algorithms to track modelling uncertainties and disturbances.

For more information about the project and informal enquiries, please contact the primary supervisor: Dr Mohammad Abusara

Information about current fees can be found here: https://www.exeter.ac.uk/pg-research/money/fees/

Information about possible funding sources can be found here: http://www.exeter.ac.uk/pg-research/money/alternativefunding/

Entry requirements

Applicants for this research project must have obtained a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology. Experience in Renewable Engery is desirable.

If English is not your first language you will need to meet the English language requirements and provide proof of proficiency. Click here for more information and a list of acceptable alternative tests.

How to apply

You will be asked to submit some personal details and upload a full CV, covering letter and two academic references. Your covering letter should outline your academic interests, prior research experience and reasons for wishing to undertake this project. You may also be asked to upload verified transcripts of your most academic qualification.

If you have any general enquiries about the application process please email emps-pgr-ad@exeter.ac.uk

Please quote reference 3077 on your application and in any correspondence about this project.

Summary

Application deadline:24th September 2018
Value:This project is self-funded
Duration of award:Not applicable
Contact: EMPS Postgraduate Research Office emps-pgr-ad@exeter.ac.uk