Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building and Real Estate | en_US |
| dc.contributor.advisor | Shen, Qi Ping Geoffrey (BRE) | en_US |
| dc.creator | Lau, Man Piu Ben | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/13967 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | A smart-tech integrated system for estimating and monitoring the embodied carbon of modular buildings in Hong Kong | en_US |
| dcterms.abstract | Buildings in Hong Kong account for 90% of electricity consumption and produce over 60% of the city’s carbon emissions. Promoting low-carbon development within the construction sector is crucial for achieving carbon neutrality. Besides operational emissions, carbon emissions generated from construction activities also contribute significantly to the life cycle of carbon. However, traditional post-estimation methods for buildings carbon are labor-intensive and inefficient. Carbon estimation is typically conducted after the construction stage, which limits its ability to offer actionable and meaningful strategies for implementing low-carbon practices. | en_US |
| dcterms.abstract | This thesis aims to develop a smart-tech integrated system for estimating and monitoring carbon emissions of modular buildings in Hong Kong. It is achieved through three objectives: First, carbon estimation models are developed to identify emission sources, forming the foundational logic for carbon monitoring. Second, a blockchain-enabled IoT-BIM platform is constructed to enable automated, trustworthy, and intelligent tracking and visualization of building carbon emissions. This platform integrates Internet-of-Things (IoT) technologies for dynamic data collection, alongside application programming interfaces (APIs) to facilitate seamless data transfer and conversion among IoT devices, blockchain systems, building information models (BIMs), and carbon calculation software. Third, the platform is validated through a real-world modular building project—the student hostel at Kowloon Tong, Hong Kong. Carbon reduction strategies are examined and evaluated. The successful deployment of this system will serve as a blueprint for assessing, monitoring and mitigating carbon emissions in other high-rise modular buildings in HK. This study will not only contribute to future research but also promote the achievement of carbon neutrality targets by 2050. | en_US |
| dcterms.extent | xv, 243 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2025 | en_US |
| dcterms.educationalLevel | DIREC | en_US |
| dcterms.educationalLevel | All Doctorate | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8434.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 4.23 MB | Adobe PDF | View/Open |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/13967