Operational energy use in buildings is a major emissions driver, accounting for about 27.3% of energy-related global emissions in 2022. With the Singapore Green Plan 2030 and Mandatory Energy Improvement (MEI) regime to target 80% of new buildings to be Super Low Energy buildings from 2030 and enhance energy performance of existing buildings respectively, various assets (residential, commercial and mixed-use) are actively integrating and retrofitting solutions to support a low-carbon built environment.
The technology owner has developed a comprehensive solution comprising both hardware IoT devices and an AI-native software platform aimed to reduce energy consumption and energy use intensity (EUI) for both new and existing building infrastructure. This end-to-end technology solution provides monitoring, down to the last-mile energy consumption portfolio, from respective plug-loads to rooms and floors, to enable quantifiable reductions. With the proprietary AI model, the solution aims to provide self-management capabilities for daily operations while having self-learning capabilities to cater to respective infrastructures. This results in an increased operational efficiency and measurable cost savings, in addition to aligning with ESG-related guidelines.
The technology owner has successfully conducted deployments on existing building infrastructures, with one pilot exhibiting up to 30% energy savings during the period. The owner is seeking industrial collaboration partners, such as data centers, hospitals and manufacturers, looking to gain visibility of their energy consumption and actively reduce EUI within infrastructures.
The comprehensive solution comprises various hardware IoT devices and an AI-based software platform to enable users to monitor and quantify energy consumptions to reduce EUI. The key features of the solution’s hardware IoT devices include:
Various form factors, such as smart plug-load and smart miniature circuit breaker (MCB) sensors, for non-invasive last-mile/ upstream energy consumption monitoring
Simple plug-and-play installation and setup
Integration of proprietary enterprise-grade security protocol and wireless chip design for secure communications
Wireless communications for respective smart IoT sensors to cloud platform
Safety certifications and SAFETY mark certified for local deployment
Real-time power monitoring parameters and remote actuation capabilities at load based on AI-based software platform
Coupled with the deployed hardware, the key features of the solution’s SaaS AI-based software platform include:
Smooth integration of proprietary smart IoT devices and/ or 3rd party IoT sensors for visibility at one location.
Cloud-based platform for ease of viewing and measurable insights anywhere
Proprietary AI models for orchestration, smart monitoring and suggested actuations of respective IoT devices
Self-learning capabilities to cater to occupancy centric infrastructure
Data logging functionalities with report generation
["Smart Facilities Management (FM)","Smart Utilities Management","AI Native BMS","Self-Learning","Smart Plug-Load","Smart MCB","IOT Sensor","Occupancy Centric"]