Fully-funded PhD Scholarship - Simulation and Optimisation of Offshore Renewable Energy Arrays for Minimal Life-Cycle Costs
Department of Management Science
Strathclyde Business School
To meet challenging generation targets for renewable energy, offshore resources such as offshore wind, tidal and wave energy are the focus of much R&I within both industry and academia. With no human populations and extreme environmental conditions, offshore sites have the potential to be developed as vast generating regions harnessing substantial levels of natural energy. A fundamental difficulty in developing offshore renewable energy (ORE) sites, however, is that the uncertain environmental conditions make accurately assessing the life-cycle costs of a site a challenging problem. In particular, logistical operations throughout the life of a site are subject to uncertain operating conditions, and therefore planning and scheduling these operations and estimating the resulting durations and costs is difficult. Similarly, the generating potential throughout the operation of a given site is dependent on the realised weather as well as the availability of each asset, and uncertainties in each of these make it difficult to accurately predict the profits to be gained from energy production. Decisions on aspects such as the size, layout and composition of a site are therefore difficult to accurately quantify and compare.
The aim of this project is to consider two overarching research questions:
1. Can optimisation models be developed to identify the best strategy for designing an ORE site?
2. Can alternative approaches to this problem be combined to enhance the decision–making support?
Candidates are required to have:
- An excellent undergraduate degree with Honours in a relevant business, scientific/technological or social science subject. The PhD project requires a highly numerate graduate with interests in renewable energy
- Candidates should have at least a strong Honours degree or equivalent (a strong 2:1 Honours degree, or a B.Sc. degree with 3.3 GPA in a 4.0 system), or preferably a Master’s degree in a quantitative discipline such as industrial engineering, operations research, mathematics or computer science (amongst others). Experience in programming and fundamental knowledge in optimization are not essential but highly desirable.
- A Masters degree (or equivalent) will be strongly preferred
- Students may also have other relevant experience or skills which are relevant to this project
- Candidates who are not native English speakers will be required to provide evidence for their English skills (such as by IELTS or similar tests that are approved by UKVI, or a degree completed in an English speaking country)
- Start month:
1 October 2017
- Funding applies to:
- Open to applicants from a range of countries
- Funding notes:
Stipend: £14,652 pa. Whilst open to International candidates, please note that this scholarship covers Home/EU/RUK Fee rate only.