FYPs/Thesis/Journal from Higher Education Institutions in Hong Kong | Resources | BIM

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

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

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

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Institution	Title	Type	Date	Author(s)	Abstract	Link
HKU	Building Information Modelling Implementation and Adoption in Hong Kong	Thesis	04/2013	WANG Yifan	--	N.A.
HKUST	Building information modeling for energy consumption simulation and analysis	FYP	06/2013	TSANG, Po Keung	Building Information Modelling (BIM) is the 3D virtual model of buildings which embedded information to facilitate the knowledge management and share information with different parties such as architecture, engineering and construction (AEC). In the current stage, BIM is commonly used in design communication, structure and design visualization, clash detection, prefabrication, and 4D simulations. With the complex nature of AEC project, these processes engage multiple parties, professionals and diversified software. In order to effectively support the use of information, facility of an accurate exchange of data among different parties and software is the major concern. The Industry Foundation Classes (IFC) of BuildingSMART, which is standard for interchange of the BIM data in the AEC industry and recognized as methods and tools for project deliver during building life cycle. To extend the uses of BIM for energy analysis, this project shows a feasible approach of extending the IFC standard to satisfy the requirements for energy analysis and introduces an information model and proposes IFC extension to enhance computer aids energy analysis throughout the building life cycle.	N.A.
HKUST	BIM-supported 4D acoustics simulation approach to mitigating noise impact on maintenance workers on offshore oil and gas platforms	Journal	12/2018	Tan, Y., Fang, Y., Zhou, T., Gan, V.J.L., and Cheng, J.C.P.	Maintenance workers on offshore platforms are usually exposed to a high level of noise from the working environment as most of the daily operations of oil and gas process machines generate noise over 85 dBA, causing substantial health and safety issues. Avoiding exposure of workers to the modules that generate high sound power during maintenance activities can significantly mitigate the noise impact on human health and safety. Noise simulation and noise mapping methodologies can be used to evaluate and quantify the noise impact on offshore platforms. However, limited digital information of offshore platforms makes noise simulation setup challenging as modules on topsides have a high level of details. In addition, current noise mapping studies are usually conducted in a 3D static manner, which only reflects noise impact at a certain time. Building information modeling (BIM) provides detailed physical and functional characteristics of a facility that can be applied to support the noise simulation on offshore platforms. In this study, attempts have been made to develop a BIM-supported 4D acoustics simulation approach to mitigating the noise impact on maintenance workers of offshore platforms. BIM is utilized to automatically provide required information to facilitate noise simulation setup. 4D acoustics simulation approach is used to obtain the spatio-temporary sound pressure level (SPL) distribution of the noise generated by the functional modules on offshore platforms. Acoustic diffusion equation (ADE) is selected as noise SPL prediction model. To evaluate noise impact on maintenance workers, an equation based on daily noise dose is then newly derived to quantify the noise impact. Optimization algorithm is used to determine the maintenance schedule with the minimum daily noise dose. Finally, optimized maintenance schedule that has considered noise impact is used to update the daily maintenance plan on offshore platforms. An example of a fixed offshore platform with maintenance daily activity information is used to illustrate the proposed BIM-supported 4D acoustics simulation approach. The results show that the developed approach can well mitigate noise impact on maintenance workers on offshore platforms, resulting in health and safety management improvement.	Link
HKUST	BIM-based framework for automatic scheduling of facility maintenance work orders	Journal	03/2018	Chen, W., Chen, K., Cheng, J.C.P., Wang, Q., and Gan, V.J.L.	Although more than 65% of the total cost in facility management (FM) comes from facility maintenance management (FMM), there is a lack of efficient maintenance strategies and right decision making approaches to reduce FMM costs. Building information modeling (BIM) has been developed as a potential technology for FMM in buildings. This study proposes an FMM framework based on BIM and facility management systems (FMSs), which can provide automatic scheduling of maintenance work orders (MWOs) to enhance good decision making in FMM. In this framework, data are mapped between BIM and FMSs according to the Industry Foundation Classes (IFC) extension of maintenance tasks and MWO information in order to achieve data integration. After bi-directional data transmission between the BIM models and FMSs, work order information is visualized in BIM via API to identify components that have failed. Second, geometric and semantic information of the failure components is extracted from the BIM models to calculate the sub-optimal maintenance path in the BIM environment. Third, the MWO schedule is automatically generated using a modified Dijkstra algorithm that considers four factors, namely, problem type, emergency level, distance among components, and location. Illustrative examples are given in the paper to validate the feasibility and effectiveness of the proposed framework in indoor and outdoor 3D environments.	Link
HKUST	BIM-Based Daylighting and Energy Analysis on UG Hall 7 of HKUST	Report	06/2016	Tianzhu QIN Huan HE Avinash SINGHAL	BIM is a three-dimensional digital based model or technology with various project-related information inside. It is widely used in modern building industry. As buildings are consuming so much energy today, building energy save has become an important part of a project’s optimization. To achieve the purpose of saving and controlling a building's energy consumption by BIM related software prediction and adjustment and control is a simple and effective strategy. This project aims to make energy-saving analyzes of STUDENT HALL 7 of HKUST, the main study method is: Revit 3D model—Green Building Studio energy analysis—solar panel analysis—PVGIS analysis—ECOTECT environmental analysis. Firstly obtained the three-dimensional model of Hall 7 through REVIT, and then send the model to Autodesk Green Building Studio to make energy consumption analysis, than make solar panel analysis of the building to find the energy save of panels, afterwards use PVGIS to check if the saving ratio is rational. What’s more, we also import the REVIT into ECOTECT to make further analysis.	N.A.
HKUST	BIM-based Daylighting and Energy Analysis on the HKUST Campus	Report	06/2019	Quazi Samira Rahman	Building Information Modelling (BIM) based simulation models have been consistently used to automate prolonged building performance modelling processes such as thermal comfort assessment and energy analysis, enabling fast acquisition of results. Recent studies indicate that the demand for sustainable building facilities with minimal environmental impact is growing day by day. BIM is foreseen as a savior in terms of technology to unravel laborious engineering problems in a short span of time and analyse the conditions in a given space comprehensively as well as determine efficiency of built environment. This study presents how building information modelling can be utilized to address thermal comfort and energy efficiency in buildings in the operation phase, greatly contributing to achieving optimized solution. The study primarily deals with multi physical investigation on performance assured by ventilating system in supplying air quality and determining the potentials of comfort improvement and energy savings for the control of ventilation rate by proposing optimized method for relocating supply air duct. The focus of this thesis is limited to IAS lecture theatre at HKUST with respect to current set points for the supply air temperature.	N.A.