Paving the way for a sustainable future.

Punggol Digital District employs at-scale sustainable practices in energy and water efficiency, material and waste management, environmental planning, low-energy buildings and transport.

With integrated passive design strategies alongside advanced mechanical and electrical systems, the district will achieve 35% reduction in operational carbon emissions yearly, equivalent to taking 4,000 cars off the road.

The district will house Singapore’s first urban district-level smart grid, a living lab where companies can come and test their systems in an operational business park setting.


Green Mark Platinum Super Low Energy Buildings

PDD features 17 Green Mark Platinum Buildings and 3 Super Low Energy Buildings (SLEBs), including JTC’s Mass Engineered Timber (MET) building.

The eight-storey building is the tallest timber industrial building in Singapore.

It achieves an outstanding embodied carbon performance of 15 kgCO2e/m2, which is 98% lower than BCA's benchmark (1,000 kgCO2e/m2) for non-residential buildings.


District-wide sustainable infrastructure

PDD boasts district-wide sustainable infrastructure, including a district cooling system (DCS) and a Pneumatic Waste Conveyance System (PWCS).

​​Spanning a 4km underground pipe network, the DCS is expected to reduce 3,700 tons of CO2 emissions per year and achieve up to 30% reduction in energy consumption compared to standard commercial buildings.

Energy Management

Smart Energy Grid

PDD's digitally enabled smart energy grid optimizes energy efficiency across the district through real-time data management and is estimated to save about 1,700 tonnes of carbon emissions.

Additionally, rooftop PV panels across the district will help generate solar power totalling 3,000 megawatt-hours of clean energy annually, equivalent to the annual energy consumption of 11,000 three-room HDB flats.

Reduced Carbon Emissions

Open Digital Platform

The Open Digital Platform collects, monitors, and analyses building and environmental data.

This data-driven approach enables businesses to make informed decisions that improve energy efficiency, reduce operating costs, and minimize environmental impact.