Probabilistic Design in Offshore Renewable Energy
DoS: Dave Simmonds
Second Supervisor: Martyn Hann
Third Supervisor: Deborah Greaves
Applications are invited for a three-year PhD studentship. The studentship will start on 1 October 2018.
The design requirements (responses and loads) for floating offshore renewable energy (ORE) devices result from combinations of environmental conditions and hydrodynamics of the structure. Both of these are stochastic processes. In other areas of engineering where traditional design approaches involving historical failures and safety factors as guiding principles have been found wanting, a probabilistic or reliability approach that captures this stochastic nature has been shown to be of benefit. This has allowed a better appreciation of the likelihood and frequency of system failures in the application to flooding, aerospace systems, electronic systems and so on. The probability distribution for each of the variables are described and combined to describe the potential failure of different parts or the entirety of a complex system. Reliability approaches may therefore help reduce costs and optimise maintenance schedules and energy production in ORE systems.
In this project you will
work to identify combinations of design environmental load cases for a floating
ORE system using a combination of physical and numerical modelling (CFD and
potential flow). Physical modelling will be conducted in UoP’s COAST
laboratory. The identified load cases will be used to develop a probabilistic
design approach with the aim of improving the efficiency of ORE systems.
The successful applicant will have an interest in ORE and probabilistic methods. They will join the COAST research group, a leading team of coastal and ocean engineering researchers. They will also benefit from working alongside and in support of the newly formed ORE Supergen Hub.