Improving energy use in buildings with data driven models (WS24)
Loughborough University is a top-ten rated university in England for research intensity (REF2014). 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 Doctoral College, 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/
Full Project Detail Energy use in buildings accounts for over 40% of primary energy demand in the EU and USA, with the majority concentrated in urban areas which are set to rapidly expand in the coming decades. Energy efficiency measures applied to urban buildings therefore represents a huge opportunity for energy reduction. The aim of this project is to study ways in which new sources of data (i.e. smart-meter data, information from digital maps, etc) can be integrated into energy models of buildings. We will use state-of-the-art building energy models, such as energyplus, as well as languages used in big data analysis to study the impacts of various energy efficiency measures. Our work will be of interest to urban planners, energy policy makers, electric utilities and city governments.
The project will involve programming and data-analysis. Candidates should have a strong interest in programming, urban energy and data analysis. Candidates will develop strong programming skills throughout the degree. Prior programming experience may be useful. A willingness to learn is essential.
Find out more: https://www.lboro.ac.uk/research/crest/
Entry requirements Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in an Engineering discipline, Physics, Computer Science, Architecture or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: Thermodynamics, Numerical Simulation, Heat Transfer Analysis, building energy modelling. Applicants who are unsure of their suitability are encouraged to informally contact the primary supervisor.
Please note that studentships will be awarded on a competitive basis to applicants who have applied to this project and other advertised projects starting with advert reference ‘WS’ for the School of Mechanical, Electrical and Manufacturing Engineering.
If awarded, each 3-year studentship will provide a tax-free stipend of £15,009 p/a, plus tuition fees at the UK/EU rate (currently £4,327 p/a). While we welcome applications from non-EU nationals, please be advised that it will only be possible to fund the tuition fees at the international rate and no stipend will be available. Successful candidates will be notified by 30th September 2019.