Decarbonomics: data-driven decarbonisation

Atlas Fung
Associate Director – Consultancy, Strategy and Advisory
Asia, Engineering Services

Achieving net zero by 2050 in Hong Kong presents unique challenges: unlike many major cities, its high-density built environment means buildings account for 90% of the city’s electricity consumption. 60% of all Hong Kong’s buildings are more than 30 years old, making improving energy efficiency an increasing priority.

A data-driven approach can help organisations tackle this challenge, using insight and digital tools to identify the most pragmatic and cost-effective pathways to decarbonising buildings. Our DecarbonomicsTM end-to-end service, breaks this into a three-step approach:

1. Benchmark: Gathering data on emissions and wider behavioural and spatial data is a crucial first step for organisations seeking to create a decarbonisation strategy, helping to understand and benchmark performance and inform action. Turning data into insight, through analytics and even AI and Machine Learning, provides robust outputs that can be visualised and interrogated, using benchmarking tools to fill in gaps and build an accurate carbon baseline.

2. Roadmap: every building and property portfolio is unique- there is no definitive decarbonisation plan. Scenario testing can identify an optimal roadmap of activity: we create enterprise-level digital twins to combine baseline data on assets, carbon and cost with engineering solutions to determine the optimal roadmap.

3. Delivery: once a strategy is defined, people will drive the output, yet data remains vital: quantifiable interventions and real-time performance tracking will help measure both delivery against targets as well as return on investment.

Combining data, technology and engineering expertise at  large estate level could hold the key to decarbonising buildings and realising Hong Kong’s Climate Action Plan. For more information, visit

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