UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
 More search options
Mr William Markiewicz
The Bartlett School of Environment, Energy and Resources
Central House
14 Upper Woburn Place
London
WC1H 0NN
Mr William Markiewicz profile picture
Appointment
  • Postgraduate Teaching Assistant
  • Centre for Advanced Spatial Analysis
  • Faculty of the Built Environment
Biography

William completed an MEng degree in Mechanical Engineering at Imperial College London, graduating in 2014. His career so far has been in the aerospace industry, where he has worked on a range of technologies, including robotic assembly cells and zero-carbon aircraft. A key part of his work was focussed on creating digital twins of factories. Whilst working in this field, William saw an opportunity for using data to optimise the performance of buildings and reduce their energy and waste footprints.

Research Summary

The ubiquity of the Internet of Things is changing how we sense and interact with our environment and has led to the emergence of the Digital Twin – a virtual model of a real-life operational entity. Driven by information, these models allow us to monitor operations to head off issues before they arise, or optimise operations based on ever-changing human-environment interaction. William's research will explore the hidden value of “data as a material” to improve efficiency and demand flexibility.

 

His research aims to develop a new method to quantify the social, economic and environmental benefits of capturing, analysing and storing information generated in a digital twin based on analysis of demand management and post-occupancy evaluation. Analysis will be conducted on two new campus buildings at UCL East (opening 2022 and 2023) which have the capacity to generate about 30 million data points per day.

Academic Background
  MEng MEng Mechanical Engineering – Mechanical engineering Imperial College London
Some IRIS profile information is sourced from HR data as explained in our FAQ. Please report any queries concerning HR data shown on this page to hr-services@ucl.ac.uk.
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by