PHD (VIA MPHIL) UK/EUROPEAN FEES ONLY STUDENTSHIP IN THE SCHOOL OF ENGINEERING
Applications are invited for a full time PhD (via MPhil) studentship in the School of Engineering in the Centre for Energy and Power Management. The studentship is tenable for up to 3 years full-time [subject to satisfactory progress] and will cover the cost of tuition fees at UK/EU rates. International applicants may apply but will be required to pay the difference in tuition fees. There may be the opportunity for the applicant to undertaking teaching or demonstrating duties within the School up to a maximum of 6 hours per week. It is expected the successful applicant will commence either 1 July 2017 or 1 October 2017.
Simulation and Prediction of Energy Consumption Profiles for the Built Environment
“Future buildings/dwellings are anticipated to incorporate microgeneration such as photovoltaics, solar collectors, heat pumps and micro CHP, as well as energy storage. Detailed energy consumption profiles for buildings and groups of buildings with microgeneration mix is an important prerequisite for the analysis and implementation of emerging energy technologies and low-carbon strategies such as demand site management. Simulation of such profiles requires detailed modelling of the occupancy patterns and usage profiles of the appliances and energy systems. This is typically performed using (i) autoregressive techniques, (ii) stochastic models based, mainly, on Markov chain method and (iii) pattern recognition models such as artificial neural networks.
This work will be aiming to apply machine learning tools in the simulation of occupancy patterns and usage profiles. Such techniques can represent complex dependencies and interactions; therefore, this approach is expected to allow for development of higher quality output with relatively uncomplicated model structure. These advanced generated profiles will be then used for the detailed simulation of buildings and their systems with the aim to produce thermal models which can potentially interact with existing network models. The results will be validated using published data from previous research
This project is in collaboration with Dr Stefan Dantchev, School of Engineering and Computing Sciences, Durham University. Candidates should have (or expect to hold) a 2:1 degree or above either in Physics/Engineering/Science with strong Mathematical background or in Maths, or equivalent foreign degree.
International applicants require an English Language level of UKVI IELTs 6.5 (no sub-score below 6.0) or equivalent qualification.
Completed application forms should be returned to the Research Student Registry email email@example.com quoting the studentship reference number
Closing Date: 19 May 2017
Proposed Interview Date: Week commencing 29th May 2017
For more information please click "Further Official Information" below.
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