Buildings, Energy and Environment Research Group

BEE Guest Seminar - December 2022

 
Location
SRB C10
Date(s)
Friday 16th December 2022 (13:00-15:00)
Contact
For further information please contact Professor Saffa Riffat or ERKE Administration Team
Description

The Buildings, Energy and Environment Research Group warmly invites you
to attend their Wednesday Seminar on 16th December at 12pm, B5 Marmont Centre

 

Ke Qu -Website 

Guest speakers: Ke Qu and Wuxia Zhang 

 

"Energy performance Enhancement of Solar Assisted Heat Pump and building integrated PV/thermal storage system (PV-SAHP-TS) under different climate contexts"

Biography

Dr Ke Qu is a postdoctoral research fellow worked at the University of Nottingham, UK. His main research interests focus on 1) building deep-energy retrofit and simulation; 2) holistic decarbonized electrification retrofit; 3) affordable and rapid energy retrofit technologies; 4) historic and traditional residential building retrofit; 5) energy-economic sustainable investment policy on the building energy retrofit market. Moreover, he has involved two EU horizontal 2020 project with name of REZBUILD and SUREFIT, as well as cooperation with the international design, construction and consultancy company RIMOND for development of BIM based building retrofit cloud tools. 

Wuxia Zhang

"Using Machine Learning Techniques and Occupancy Detection for Reducing Building Energy Demand and Enhancing Comfort"

Biography

Wuxia Zhang worked as an architect in China for 5 years after getting her bachelor's in Architecture. The design experiences, in particular, when negotiating with clients and authorities, made her very interested in sustainable buildings. This is an area where a truly well-trained architect can achieve important breakthroughs, which finally led her to pursue a master's degree in Sustainable buildings and environments at Newcastle University. Her research is focused on reducing energy consumption and improving occupancy comfort in buildings with machine-learning technology. Currently, she employs several algorithms for occupancy detection by using computer vision and conducted field experiments in University buildings to validate the model. 

Buildings, Energy and Environment Research Groups

Faculty of Engineering
The University of Nottingham
University Park
Nottingham, NG7 2RD


telephone: +44 (0) 115 74 86257
email: BEE@nottingham.ac.uk