Home heating patterns and community heating systems; Developing a strategy for sizing community heat networks

Application details:
Reference number: GSRC16E/KL
Start date: January 2017
Closing date: January 9th 2017
Interview date: January 2017

Supervisors:
Primary supervisor: David Allinson
Secondary supervisor: Kevin Lomas

Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Graduate School, including tailored careers advice, to help you succeed in your research and future career.

Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/

Project Detail:
Understanding patterns of domestic heating is crucial to the design of community heating schemes. The aggregated heat demand determines the size of heating plant and thermal storage devices.

The PhD student will join the DEFACTO project team and use the data gathered to create a repository of heating patterns linked to occupant characteristics.

Based on these, and modelled heating patterns, the students will develop a strategy that can be used by academics and industrialists for sizing community heat networks.

This PhD will be ideal for anybody with an interest in data analysis, building physics, domestic energy demand and occupant behaviour.

Find out more:
The project is led from the nationally-leading Building Energy Research Group in the School of Civil and Building Engineering. See here for more about the DEFACTO project: https://defactohomes.com/

Entry requirements:
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in an engineering or mathematically-based subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: building energy analysis and data analysis.

Contact details:
Name: Prof Kevin J Lomas
Email address: [Email Address Removed]
Telephone number: +44 (0)1509 222615

How to apply:

All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select ‘Civil and Building Engineering’

Please quote reference number: GSRC16E/KL