School of Computing and Engineering

The relationship between energy consumption, PPM regime, internal environment, cost benefits and guest satisfaction

Primary supervisor: Dr Ali Bahadori-Jahromi

Start dates: January, May and September of each academic year

Duration: This is a three-year position.

Research context

Research at the University of West London lives in an ecosystem of interdisciplinary research clusters. This PhD position is based in the School of Computing and Engineering. This research focuses on compression anchorage lengths in reinforced concrete.

Background to this industry initiated research comes from the fact that it is frequently debated whether the Planned Preventive Maintenance should be conducted on a time-frequency basis (i.e. every three months change a filter in Fan Coil Unit (FCU)) or should it be driven by the demand (i.e. have a sensor installed on a filter that would indicate the need of cleaning or replacing). Similar policy would apply to other mechanical and electrical plants, however it is not known yet whether this would be beneficial in the long term from the point of view of guest satisfaction/internal environment and of course cost savings/expenses.
This is collaborative study between University of West London, The Chartered Institution of Building Services Engineers (CIBSE) and Hilton Worldwide. Dr Jahromi and his industrial partners are leading the vibrant research team of three current candidates in this area and past graduates which provides the selected applicant appropriate support and welcoming environment in undertaking the research.

Research goal

This study aims to investigate and evaluate the relationship between energy consumption, planned preventive maintenance (PPM) regime, internal environment, cost benefits and guest satisfaction. This research involves energy and internal climate computational modelling as well as in-situ measurements and occupant surveys to understand the full picture.

Candidate Profile

Applicants will be expected to hold a good first degree (first or upper second class) and a Masters degree (or equivalent) in Civil or Mechanical Engineering. Potential candidates should have experience of computational simulation. 

All applicants for whom English is not their first language must also demonstrate their English language proficiency through evidence of IELTS at overall 7 (with 6.5 in all four skills) or by providing access to MA/MSc chapters or published work.

Further Information

For general enquiries about the application process visit the Graduate School pages.

Questions regarding academic aspects of the project should be directed to