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Project Database
Project Reference: ITP/002/22LP
Project Title: Smart Data-Driven Building Management Framework for Environmental and Sustainability Applications
Hosting Institution: The Hong Kong Polytechnic University (PolyU)
Abstract: Building energy efficiency is crucial to achieving the targets set up in recent government
initiatives and policies in carbon neutrality, climate action plan, and smart city
development. It is also an important factor of companies’ Environmental, Social and
Corporate Governance (ESG) reporting.
This project aims to develop and demonstrate an innovative smart data-driven framework
for building energy management, by developing and deploying AI-empowered data-driven
optimization and predictive maintenance strategies, realizing the potential of Building
Information Modeling (BIM) for operation management, and developing an AR-enabled
informative and interactive human-equipment-information interface. A novel physicsguided
machine learning paradigm will be developed for modeling buildings and
Mechanical, Electrical, and Plumbing (MEP) systems, which makes effective use of both
physical knowledge and a large volume of building design and operational data.
Multiple organizations have expressed their strong interests in this project by providing
cash sponsorship and in-kind support. PolyU Facilities Management Office (FMO) and
Electrical and Mechanical Services Department (EMSD) are committed to offering MEP
plant rooms and technical support to test and demonstrate the project outcomes. We
believe this project will advance the building management technologies, bring 20%
energy saving, and facilitate the facility management industry to accomplish
transformation in the era of AI and to attract more young manpower to tackle the urgent
challenge of the aging workforce.
Project Coordinator: Prof Fu Xiao
Approved Funding Amount: HK$ 5.1M
Project Period: 28 Mar 2022 - 27 Mar 2024
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