B.Eng. Dissertation
The aim was to investigate the influence of interfacial forces including drag force, lift force and virtual mass force under LES on numerical simulation of bubble column two-phase bubbly flow.
The aim was to investigate the influence of interfacial forces including drag force, lift force and virtual mass force under LES on numerical simulation of bubble column two-phase bubbly flow.
This experiment aimed to obtain Graphene / Epoxy Resin Nanocomposite with enhanced gas-barrier properties and compare the enhancement and other properties by Graphene Oxide (GO) and Reduced Graphene Oxide (rGO) respectively.
Published in Journal of Building Engineering, 2024
Recommended citation: Wu, Z., Zhang, W., Tang, R., Wang, H. & Korolija, I. Reinforcement learning in building controls: A comparative study of algorithms considering model availability and policy representation. J. Build. Eng. 109497 (2024). https://www.sciencedirect.com/science/article/pii/S2352710224010659
Teaching assistant for postgraduate course, University College London, Bartlett School of Environment, Energy and Resources, 2024