S-0033
ATAL’s Cloud-based Chiller Plant Energy Management Platform (EM-Platform)
‘ATAL’s Cloud-based Chiller Plant Energy Management Platform’ is an award-winning solution at the Hong Kong ICT Awards 2019 in the category of “Big Data & Open Data Applications”. This platform is an all-in-one intelligent system leveraging big data analytics and machine learning (ML) for achieving building energy efficiency and sustainable development. ATAL’s Dynamic Optimisation is built upon the basis of self-trained physics-guided machine learning (ML) models using actual operating data. This ensures energy performance of the whole chiller plant being optimised in real-time using advanced modelling and optimisation techniques. Buildings can achieve up to 30% energy savings on chiller plant operations with the use of the platform, depending on the building types and the buildings’ current energy performance.
City Management
Climate and Weather
Commerce and Industry
Development
Environment
Housing
Artificial Intelligence (AI)
Cloud Computing
Data Analytics
Machine Learning
Predictive Analytics
In line with the Smart City vision of the HKSAR Government, making use of innovation and technology in the built environment is the key to achieving building energy efficiency and sustainable development. The smart city market is expected to grow continuously with the support of the Government, as highlighted in the recently released “Hong Kong Smart City Blueprint” (ITB, 2018). Besides the HKSAR Government has set an ambitious carbon intensity reduction target of 65% to 70% by 2030 using 2005 as the base, which is equivalent to 26% to 36% absolute reduction and a reduction to 3.3-3.8 tonnes on a per capita basis (EB, 2018). Given the dominance of air-conditioning (AC) systems in building energy consumption, and of buildings in Hong Kong’s overall energy use and greenhouse gas (GHG) emissions, ensuring AC systems are run at the highest possible energy efficiency is crucial to realisation of Hong Kong’s GHG emission reduction target. Greater utilisation of building data to serve this purpose is, therefore, a necessary strategy to take. The data-driven approach adopted in the design of the platform makes it easy to deploy without replacing the costly central equipment or disrupting operations.
ATAL Building Services Engineering Ltd.
2166 7606
12/F, Island Place Tower, 510 King's Road,North Point, Hong Kong
If any government department would like to conduct PoC trial or technology testing on the I&T solution, please contact Smart LAB.