Seed Funding Programme for Basic Research

Integrated Smart High-rise Building Energy Modelling (ISHBEM)


Buildings together contribute to over a third of the world‟s energy consumption and greenhouse gas (GHG) emissions. Buildings in Hong Kong account for almost 92% of electricity use and 60% of GHG emissions in the city (EMSD, 2014), far exceeding the world averages. There is therefore a very challenging context for reducing building energy consumption in Hong Kong. Reducing building energy consumption has been a focus in the HKSAR Government Policy Address and building energy codes. In the 2007-08 Policy Address the Chief Executive (2007) of the Government stated that Hong Kong pledged to seek to achieve a reduction in energy intensity of at least 25% by 2030 compared to the 2005 baseline. The recently released „Energy Saving Plan for Hong Kong‟ set the targets to achieve energy intensity reduction by 40% by 2025 and to reduce electricity use by government buildings by 5% by 2020. However, despite the strong policy commitment, there is little understanding of the accuracy of energy modelling and the energy performance gap of buildings in Hong Kong. This project aims to develop a process framework for achieving integrated smart high-rise building energy modelling (ISHBEM), which will help to improve the accuracy of predicting buildings‟ energy use and minimize the gap between as-designed and as-occupied building energy performance. 


  1. Du, J., Yu, C. & Pan, W. (2020). Multiple influencing factors analysis of household energy consumption in high-rise residential buildings: Evidence from Hong Kong. Building Simulation. https://doi.org/10.1007/s12273-020-0630-5

  2. Du, J., Pan, W. & Yu, C. (2020). In-situ monitoring of occupant behavior in residential buildings‒a timely review. Energy and Buildings, 212, 109811. https://doi.org/10.1016/j.enbuild.2020.109811

  3. Yu, C., Du, J. & Pan, W. (2019). Improving accuracy in building energy simulation via evaluating occupant behaviors: A case study in Hong Kong. Energy and Buildings, 202, 109373. https://doi.org/10.1016/j.enbuild.2019.109373

  4. Du, J. and W. Pan (2019). Impact of Window Operation Behaviours on Cooling Load of High-rise Residential Buildings in Hong Kong, in Building Simulation. 2019: Rome.

  5. Du, J., Yu, C., Pan, W., (2018). Understanding Energy Related Occupant Behavior in High-rise Residential Buildings in Hong Kong. The 4th Asia Conference of International Building Performance Simulation Association - ASim2018.

  6. Yu, C. & Pan, W. (2017). Potentials of Energy Efficiency and Generation Strategies for High-rise Office Buildings in Hong Kong. Proceedings of the World Sustainable Built Environment Conference 2017 Hong Kong, 5-7 June 2017, ISBN 978-988-77943-0-1, pp.874-879.


This project is led and coordinated by Professor Wei Pan of Department of Civil Engineering of The University of Hong Kong (HKU), with project team members from HKU, collaborators and supporters from a wide range of government and industry organizations.


This project is funded by The University of Hong Kong under Seed Funding Programme for Basic Research (Project Number: 104004122).