Our PhD students

Civil Engineering

Lifecycle Evaluation of Building Sustainability using BIM

Raja Shahmir Nizam Shaikh

Buildings consume a large portion of global energy, and the decisions taken during the early design stage in terms of material selection, supplier selection (transportation impact) and construction method adopted dictate the sustainability performance of the complete life cycle of the final building product. Therefore, this study focuses on the quantification of energy impact as well as providing guidance for mitigating this energy consumption using Building Information Model (BIM) by realizing the building in the virtual environment and linking Life Cycle Analysis (LCA) methodology to the BIM environment. BIM is the industry standard for delivering building projects and by enabling BIM environment to perform LCA, this study provides seamless and efficient platform for incorporating sustainability practices in the main stream construction business. The scope of the study is limited to A1-A3 (Cradle to Gate) and A4-A5 (Transportation and Construction Phase) of the European standard EN 15978. The outcome of the study is in the form of a framework implemented by an Application Programming Interface (API) built for a well-known BIM authoring tool. The framework is validated through a case study and the results are presented in a number of publications listed below.

Supervising team


  • Nizam, R. S. et. al. (2017), Simulating total embodied energy of building products through BIM, 2017 Winter Simulation Conference (WSC), Las Vegas, NV, USA, 2017, pp. 2394-2404.
  • Nizam, R. S. et. al. (2017) BIM-Based Investigation of Total Energy Consumption in Delivering Building Products. ICCBEI & CCACHE, Taipei, Taiwan, April, 2017.
  • Nizam, R. S. & Zhang, C. (2017) Lifecycle Evaluation of Building Sustainability Using BIM. World Sustainable Built Environment Conference 2017 Hong Kong. June, 2017.
  • Nizam, R.S. & Zhang, C. (2017) A Review of Industry Foundation Class (IFC) Based Data Exchange Model. In P. Wu, H. Li & X. Wang (Eds.), Integrated Building Information Modelling (pp.158-180). Bentham Science Publishers.
  • Nizam, R. S. & Zhang, C. (2015) Current State of Information Exchange between the two most popular BIM software: Revit and Tekla. International Conference on Sustainable Buildings and Structures, Suzhou, P.R. China.
  • Mehdi, P., Nizam, R. S. & Zhang, C. (2015) Investigating thermal comfort and occupants position impacts on building sustainability using CFD and BIM. 49th international conference of the architectural science association, The Architectural Science Association and The University of Melbourne, pp 257–266.


  • Awarded second prize, XJTLU Poster Competition 2016
  • Awarded Dushu Lake Higher Education Town (HET) Scholarship for existing international PhD students, 2016

Multi-agent Real-time Simulation System of Light Train Network Energy Sustainability Analysis

Yida Guo

Light train transportation is essential for the whole infrastructure system. It might be helpful to apply a multi-agent system to help in optimising resource allocation and solving spatial and temporal conflicts. Several objectives will be achieved at the end of this research. Firstly, a methodology of an intelligent agent system for real-time simulation of the light train network will be proposed. Secondly, algorithms for optimising energy distribution based on energy consumption analysis of the network will be developed. Negotiation rules will be developed and applied to the agent group for better communication inside the network. Thirdly, operational strategies for individual train operators based on automated machine guidance (AAMG) will be explored, so as to minimise the disadvantage of manual operations.

Supervising team