FYPs/Thesis/Journal from Higher Education Institutions in Hong Kong


Below Information is provided by the Higher Insitutions signed MoU with CIC.



Date: From


Institution Title Type Date Author(s) Abstract Link
HKUST Analysis and Evaluation of Green Building Features Using Building Information Modeling FYP 06/2015 LO Lok
Kwok Hoi Ling Helen
The number of green buildings is growing rapidly worldwide and the construction of green building can be facilitated by Building Information Modeling (BIM), which also becomes popular in recent years. At the same time, increasing number of new and current buildings are getting certified as green buildings by energy codes.

The project aims to study the green features of the HKUST Jockey Club Institute for Advanced Study (IAS) building as it is designed to reduce energy consumption with daylighting. Lighting and space cooling are the two major annual electric consumption by while spacing heating is the major annual fuel end use. The energy simulation results reveal that similar simulation engine generates similar results.

Alternative designs are created to further improve the energy saving efficiency of the IAS building and are compared with the original IAS building. The best orientation for the IAS building is to be rotated 150o clockwise from the original position. The building should also have occupancy and daylighting sensors and controls installed. The curtain walls should be replaced by translucent wall panels (U-0.10, SHGC 0.06, Tvis 0.04). The results agrees with the potential energy chart which indicates window glass as the building features that has the greatest energy saving potential. It is recommended that to modify the IAS building with all three aspects to maximize energy reduction.

LEED and BEAM Plus Compliance are checked with alternative designs. Only the case with the IAS building model having translucent wall panels (U-0.10, SHGC 0.06, Tvis 0.04) and the combined case earn LEED EA 1 credits; whereas all cases mentioned above are eligible for BEAM Plus Section 4.1 EU 1 credits.
HKUST Developing a Building Information Modeling Framework for Infrastructure Facility Management FYP 06/2015 LO Tsz Fung
TAM, Siu-hung
There is a global trend of green buildings in recent years. The BEAM Plus green building standard developed by the Hong Kong Green Building Council (HKGBC) in 2009 has certified over 200 projects in Hong Kong. Green buildings have utilized various design features and operation technologies to reduce energy, waste and water consumption, improve indoor environmental quality and increase building performance.

Facilities Management (FM) is the total management of all services that support the core businesses of an organization in a building. Nowadays, the design and structure of buildings are getting increasingly sophisticated and the need for specialization in management and maintaining them at high quality is vital. Facility managers have to acquire, integrate, edit, and update diverse facility information ranging from building elements, data, operational costs, room allocation, contract types, to maintenance. However, FM professionals have to face challenges resulting in cost and time related to productivity, efficiency and effectiveness losses. Building Information Modeling (BIM) seeks to integrate building lifecycle, provide improvements and help to overcome such those challenges.

Thus, the aims of this project is to explore how BIM can contribute to and improve the FM profession and develop a BIM-based framework that facilitates the facility operations and management process of civil infrastructure facilities. To explore the technical feasibility of the proposed approach, It aim the Hong Kong University of Science and Technology Jockey Club Institute for Advance Study (IAS) as a target to implement and test, which is one of the world’s leading centers of research and intellectual inquiry, aiming to drive major advances and discoveries with its inter-disciplinary research locally and worldwide and establish itself as an international centre for excellence. For this purpose, the FM’s key tasks for indoor environmental quality improvement of green building features are identified and evaluated and a BIM model for the IAS building is developed and experimented by the FM tasks. As a result, such simulation helps shaping the vision, direction and policy for future energy and aviation systems.
HKUST A financial decision making framework for construction projects based on 5D building information modeling (BIM) Journal 12/2015 Lu, Q., Won, J., and Cheng, J.C.P. Analyzing cash flows and undertaking project financing are important for contractors in managing construction projects. Traditional methods for cash flow analysis are based on the manual integration of time and cost information. However, the manual integration process can be automated by using five-dimensional building information modeling (5D BIM). Previous studies on 5D BIM have focused on estimating cash outflow rather than cash inflow analysis and project financing. This paper proposes a BIM-based methodology framework for cash flow analysis and project financing. The framework considers contract types and retainage to estimate cash inflow, and cash outflow patterns for equipment, manpower, and materials in order to more accurately measure cash outflow. Project financing scenarios can also be evaluated using the framework. Illustrative examples are demonstrated to validate the proposed framework by considering two what-if scenarios. Results show that the framework can help contractors analyze the cash flow and make appropriate decisions for different design and payment scheme alternatives in construction projects. Link
HKUST Developing a Building Information Modeling Framework for Facility Management FYP 06/2017 LUK, Ka Yui
TING, Hok Lam
The sustainability of an infrastructure is of paramount importance to protect the benefits of both clients, engineers and its end-users. Building Information Modelling (BIM) therefore has become a vital tool for facility management (FM) to monitor the lifecycle of all building elements. Numerous of frameworks in the industry, however, are unable to locate and trace the asset information details of the building elements automatically for the asset management(AM) in the building lifecycle, especially the operation and maintenance stage. These existing frameworks highly rely on facility managers to locate the building elements and filter the information from a humongous database and carry out further data analysis for asset management strategies plan. Therefore, developing an integrated BIM framework to integrate the use of Radio Frequency Identification (RFID) technology and a FM software is essential for a more advanced facility management, especially the asset management performance of an infrastructure.

In this research, AM is focused and a BIM model of the HKUST library is established as our targeted infrastructure for framework scenario establishment. Numbers of RFID tags have been installed on various library assets to collect respective RFID elements data. A Structured Query Language (SQL) database has been created to store in MySQL and integrate the data of the RFID tags with a FM software, Archibus. A RFID Asset Management website has been established to filter and visualize the required data. Finally, a BIM-based framework for asset management has been attained. The research framework has been applied to a HKUST Library-based AM scenario and the results have proved its AM functions and reliability in enhancing the AM performance of an infrastructure.
HKUST Optimization of Occupant Thermal Comfort and Energy Consumption in HVAC Systems Using a BIM-Supported Computational Approach FYP 06/2019 LUK, Tsz Hin
SIU, Chun Fai
This project aims to analyse thermal comfort and indoor air quality (IAQ) in a lecture theatre where the HVAC system consists of a Variable Air Volume (VAV) system, Displacement Ventilation (DV) system, and Demand Control Ventilation (DCV) system. Based on the simulation result, a strategy is proposed to minimize electricity consumption while maintaining sufficient thermal comfort and indoor air quality to the occupant.

The analysis is conducted using Building Information Modelling (BIM), Computational Fluid Dynamics (CFD) software, and energy simulation software to simulate the airflow, temperature, CO2 concentration and energy consumption in different scenarios. Thermal comfort and IAQ are evaluated by comparing the simulated result to the international standards and local guidelines such as ASHRAE and HKIAQ. Autodesk CFD, Revit, eQUEST and EnergyPlus are used for the simulations in this project.

The simulation result shows that ventilation at the back of the lecture theatre is poor even though the air handling units run in full capacity. This project has found that changing the location of the inlet of supply air duct can significantly improve the ventilation at the back without increasing the electricity consumption. CFD simulation shows that even in 100% occupancy, the lecture theatre after modification fulfils the requirement of an excellent class according to HKIAQ’s objective.
HKUST Automated optimization of steel reinforcement in RC building frames using building information modeling and hybrid genetic algorithm Journal 02/2018 Mangal, M., and Cheng, J.C.P. Design of steel reinforcement is an important and necessary task for designing reinforced concrete (RC) building structures. Currently, steel reinforcement design is performed manually or semi-automatically using computer software such as ETABS, with reference to building codes. These approaches are time consuming and sometimes error-prone. Recent advances in building information modeling (BIM) technology allow digital 3D BIM models to be leveraged for supporting different types of engineering analyses such as structural engineering design. With the aid of BIM technology, steel reinforcement design could be automated for fast, economical and error-free procedures. This paper presents a BIM-based framework using the developed three-stage hybrid genetic algorithm (GA) for automated optimization of steel reinforcement in RC frames. The methodology framework determines the selection and alignment of steel reinforcement bars in an RC building frame for the minimum steel reinforcement area, considering longitudinal tensile, longitudinal compressive and shear steel reinforcement. The first two stages optimize the longitudinal tensile and longitudinal compressive steel reinforcement while the third stage optimizes the shear steel reinforcement. International design code (BS8110) and buildability constraints are considered in the developed optimization framework. A BIM model in Industry Foundation Classes (IFC) is then automatically created to visualize the optimized steel reinforcement design results in 3D thereby facilitating design communication and generation of construction detailing drawings. A three-storey RC building frame is analyzed to check the applicability of the developed framework and its improvement over current design approaches. The results show that the developed methodology framework can minimize the steel reinforcement area quickly and accurately. Link