Informasi [beasiswa] [info] Durham University – PhD Studentships in Mathematical Engineering

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[beasiswa] [info] Durham University – PhD Studentships in Mathematical Engineering

PhD project: Electricity Transmission Investment Planning Under

Uncertainty Using Statistical Emulators

Durham University -School of Engineering and Computing Sciences

This is a collaborative project between the department of mathematical

sciences and the department of engineering. We are looking for a

student with a strong background in statistics and an interest in

developing new methodology in an important and challenging practical

application area.

Power network components typically have very long design lives of 40

or more years, on top of 5-10 years for planning and construction. At

the time investment decisions are made, there is therefore great

uncertainty over many properties of the future system in which the

asset will be operated, e.g. installed generation capacities and

locations, market prices, and behaviour of interconnectors to other


System simulations, which balance the cost of network reinforcements

against the cost of finite network capacity restricting the generation

schedule, are used to support these decisions. This project will use

statistical emulators to understand how the input data drives the

results of these simulations, and hence derive systematic approaches

to making investment decisions under uncertainties in that data.

Statistical emulation of the power system simulator is necessary

because the full simulator is too computationally intensive to be

evaluated at all relevant parts of the parameter space.

This work is part of the “Autonomic power systems” project. As such,

there will be particular concentration of planning in the face of

uncertainty over what generation and demand technologies will be

developed over the life of the network assets – with the rapid

development in smartgrid technologies involving distributed control

and participation of demand in electricity markets, the operation of

power systems will look very different in 20-30 years’ time. There

will also be opportunities to collaborate with industrial partners of

the project, including National Grid.

Supervisor: Professor M. Goldstein (Mathematical Sciences) and Dr.

Chris Dent (Engineering and Computing Sciences)

Funding: EPSRC, Fees/stipend paid for home/EU students, fees plus

limited stipend paid for overseas students.

Start date: by January 2013

For further information on postgraduate research in Engineering at

Durham, please see

For Mathematical Sciences, please see

The full range of energy research at Durham may be explored through

the Durham Energy Institute’s pages:

If you are interested in this position, please contact Chris Dent in

the first instance on







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