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  Self-learning adaptive strategies for building integrated energy conversion systems in the residential sector


   UCD Energy Institute

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  Dr D Finn  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Energy systems have evolved over decades from individual energy devices and small sub- systems into a complex set of systems, both physical (e.g. electricity grids, gas networks, etc.), institutional (e.g. regulatory and economic) and at all scales (e.g. from individual buildings to continental scale). These systems are increasingly integrated physically (e.g. combined heat and power and electric vehicles), institutionally (e.g. gas/electricity markets) and across scales (e.g. demand side management in power grids). Energy Systems Integration (ESI) is focussed on the interfaces between these systems where there are new challenges and opportunities requiring research, demonstration and deployment to reap the commercial and societal benefits.
There are several upcoming opportunities for PhD level research as part of the Energy Institute’s Energy Systems Integration Partnership Programme (ESIPP), an €11m capacity building project co-funded by Science Foundation Ireland, industry and philanthropic donation.
The research work will be carried out with strong collaborative links to major energy industry players, such as AIB, EirGrid, Ervia, ESB, Glen Dimplex and seventeen other official industry collaborators.

Ideal candidates for these positions will be highly motivated, numerate students with an excellent academic track record and willingness to work in a dynamic and interdisciplinary research environment. The projects will entail significant engagement with internal and external research/industry stakeholders, so good communication skills are essential.

Energy demand in residential dwellings depends on a variety of factors including the building type, the energy conversion equipment, weather variables, occupant preferences and behaviour, etc. The overall aim of this research is to develop self-learning strategies capable of optimisation of energy demand management for the residential sector, which are capable of providing incremental performance improvement for each individual residential instance.

Project Supervisor: Dr Donal Finn, UCD School of Mechanical & Materials Engineering ([Email Address Removed])

To apply, please send CV (max 2 pages), including contactable referees and copy of transcript, and a covering letter of interest to the relevant supervisor contact below by 15 June 2016:


Funding Notes

The PhD funded duration is up to four years, with a student stipend (tax free) of €18,000 per annum. Additionally, standard tuition fees, project related materials and travel will be provided, as agreed with PhD supervisor.