UCL Energy Institute in partnership with PassivSystems are seeking applications for a fully funded Studentship on topic in Data driven approach to identifying building retrofit pathways in the context of rapid energy system decarbonisation
This PhD studentship in Data driven approach to identifying building retrofit pathways is funded by the Engineering and Physical Sciences Research Council (EPSRC) through the EPSRC-SFI Energy Resilience and the Built Environment (ERBE CDT) and co-funded by PassivSystems.
The shift to net zero carbon requires millions of buildings to be retrofitted with insulation, low carbon heating and advanced controls that help balance the electricity grid. This project aims to accelerate this process by developing a method to provide tailored advice on retrofit.
PassivSystems provide a leading smart home energy management platform, with a particular focus on deploying low carbon heating solutions and using them to balance the wider energy network while keeping the needs of consumers at the forefront.
Urgent action is required to decrease the carbon intensity of heating our buildings, to support a transition to a net zero carbon energy system. To achieve this, individual buildings need to be retrofitted with low carbon technologies and insulation, and new, flexible, control technologies need to be introduced to support grid operation. The impact of such measures depends on the original energy use from the building, and the performance of the technologies themselves, both of which have been hard to predict. However, accurate prediction of the impact of applying different solutions to a building enables estimation of the costs and benefits, and therefore supports effective decision-making.
Supervisor: Dr Clifford Elwell, UCL Energy Institute
Funding: The studentship will cover UK course fees and an enhanced tax-free stipend of approx. £18,000 per year for 4 years along with a substantial budget for research, travel, and centre activities. Applicants should meet the EPSRC eligibility criteria.
Dates: 4 years from September 2020
In recent years there have been significant advances in characterising the thermal performance of buildings from large time-series data sets of measurements taken by in situ sensors. Combining the thermal performance estimation from such analysis with details of the building’s characteristics will provide the opportunity to predict energy savings from specific retrofit measures. It will also enable a robust assessment of the suitability of low carbon technologies, such as heat pumps, to deliver the required heat to properties.
The successful candidate will be trained within our vibrant ERBE CDT community and join an active and supportive research group: The Physical Characterisation of Buildings.
This PhD aims to develop a new method to combine the estimated energy performance of properties with supplementary physical data to provide detailed insights into building performance and how this varies over a year. This building characterisation will enable the impact of different heating technologies and control strategies to be assessed. The PhD will therefore support effective decision making to enable flexible, or smart, operation of heating, whereby appliances are controlled to support balancing the grid – essential for decarbonisation.
This is an exciting and challenging project, suited to a candidate with a physical science or engineering background and interested in an applied PhD in support of decarbonisation, and creating comfortable, healthy homes. An interest in collecting and analysing real data is beneficial. Experience or qualifications in a subject associated with the built environment are welcome, but not required – training and support will be provided to the successful candidate.
A minimum of an upper second-class UK Bachelor’s degree and a Master’s degree, or an overseas qualification of an equivalent standard, in a relevant subject, is essential. Exceptionally: where applicants have other suitable research or professional experience, they may be admitted without a Master’s degree; or where applicants have a lower second-class UK Honours Bachelor’s degree (2:2) (or equivalent) they must possess a relevant Master’s degree to be admitted.
Applicants must also meet the the minimum language requirements of UCL
Applicants should meet the EPSRC eligibility criteria.
How to apply
Please submit a pre-application by email to the UCL ERBE Centre Manager (firstname.lastname@example.org) with Subject Reference: 4-year PhD in Data driven approach to identifying building retrofit pathways
The pre-application should include the following:
– A covering letter clearly stating which project you wish to apply for, your motivation, and your understanding of the EPSRC eligibility criteria
– Names and addresses of two academic referees
– A copy of your degree certificate(s) and transcript(s) of degree(s)
Deadline for applications: Sunday, 19 July 2020 @23:59 (UK time)
Interviews week commencing: TBC
The interview panel will consist of the project’s academic supervisor at UCL, a representative of the industrial sponsor and a representative of the ERBE CDT Academic management. The interview will include a short presentation from the candidate on their ideas of how to approach this PhD project.
Only shortlisted applicants will be invited for an interview.
Following the interview, the successful candidate will be invited to make a formal application to the UCL Research Degree programme. For further details about the admission process, please contact: email@example.com
For any further details regarding the project, contact Dr Cliff Elwell on firstname.lastname@example.org
You will be undertaking this project in UCL at the main (Bloomsbury) campus as part of the new EPSRC-SFI Centre for Doctoral Training in Energy Resilience and the Built Environment (ERBE CDT). This is a collaboration between UCL, Loughborough University and Marine and Renewable Energy Ireland (MaREI).