Singapore-based ST Engineering has launched the Agil Smart Energy Building, a suite of smart energy options so building owners can take a whole-of-building approach to energy optimisation.

The company says this can help them achieve total energy savings of up to 25 per cent, accelerating building decarbonisation.

Powered by IoT, artificial intelligence (AI), machine learning and automation, the integrated suite of energy optimisation options is for cooling, energy recovery, lighting, automation and GHG emissions tracking. Its modular and scalable design enables easy integration into brownfield and greenfield spaces, increasing energy efficiency and providing a quick return of investment to building owners.

The suite can be scaled to cover multiple buildings within an estate or township, aggregating energy savings.

The suite comprises:

• Smart HVAC: Disparate HVAC equipment is unified on one platform to integrate all data and controls. Sensors provide data on real-time building occupancy and cooling operations together with added intelligence such as external weather conditions, accurately measuring and predicting the building heat load. These data-driven insights enable more effective response to real-time cooling demand for energy efficiencies.
• AI airflow: Cooling is precisely and evenly distributed across the building with smart airflow adjustments powered by AI and sensors that provide real-time data on workspace environments and thermal comfort. Overcooling in unused areas is also reduced, contributing to energy efficiencies.
• Energy recovery: Leveraging ST Engineering’s patented Reevac deep cooling technology, residual cold energy is recovered from the building’s exhaust air and channelled to pre-cool incoming fresh air deeply without using refrigerants, compressors or the building’s chilled water. Energy consumption is reduced by up to 30 per cent compared with a conventional system, and cooled fresh air is delivered to the building to enhance air quality and indoor comfort.
• Smart lighting: Demand-based soft dimming and AI-based anticipatory lighting provides up to 50 per cent energy savings.
• Carbon monitoring: Round-the-clock monitoring of building operational data with energy usage analysis drives data-driven decisions, allowing energy efficiency measures to be taken. An ESG dashboard automatically tracks key ESG metrics and GHG emissions in real-time, facilitating reporting.

“Today, many building owners face challenges in making their buildings more energy efficient because of the limitations or fragmentation of their existing subsystems,” said Gareth Tang from ST Engineering (www.stengg.com). “Applying our expertise in sensors, AI and sustainable cooling technology, we have developed a revolutionary approach to optimise energy use in buildings that harnesses energy savings from all sources. In particular, Agil Smart Energy Building targets building cooling – a major source of electricity consumption – and delivers a more targeted and effective response to real-time cooling needs.”