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By modeling the real-time cooling load based on actual ambient conditions, Neuron creates a dynamic digital twin of a building’s chiller plant, catalysing predictive performance optimisation.
Leveraging our experience and AI-powered PSO model in conjunction with BMS, Neuron helps to implement strategic improvements to both the demand and supply side of the HVAC operations that can yield significant savings and support broader sustainability initiatives.
Neuron uses real-time data to detect equipment anomalies, hence facility managers can take appropriate remedial actions, and support prevention of breakdowns. This eliminates time wastage during emergency breakdowns and lowers the frequency of repairs and maintenance.
Neuron utilizes IoT sensor data and asset historical data, together with Machine Learning algorithms to forecast failure of equipment before it happens.
This enables targeted, scenario-based interventions that optimize maintenance schedules, minimize disruptions, and maximize the useful lifespan of building systems.
By modeling the real-time cooling load based on actual ambient conditions, Neuron creates a dynamic digital twin of a building’s chiller plant, catalysing predictive performance optimisation.
Leveraging our experience and AI-powered PSO model in conjunction with BMS, Neuron helps to implement strategic improvements to both the demand and supply side of the HVAC operations that can yield significant savings and support broader sustainability initiatives.
Neuron uses real-time data to detect equipment anomalies, hence facility managers can take appropriate remedial actions, and support prevention of breakdowns. This eliminates time wastage during emergency breakdowns and lowers the frequency of repairs and maintenance.
Neuron utilizes IoT sensor data and asset historical data, together with Machine Learning algorithms to forecast failure of equipment before it happens.
This enables targeted, scenario-based interventions that optimize maintenance schedules, minimize disruptions, and maximize the useful lifespan of building systems.
Absolutely, Neuron;’s building analytics and automation capabilities can help organizations enhance their building’s energy efficiency and sustainability in following ways:
These are key factors in achieving LEED (Leadership in Energy and Environmental Design) certification.
Additionally, Neuron’s expert team of certified WiredScore AP and SmartScore AP can provide strategic advice on how to deliver exceptional user experiences, drive cost efficiency and meet high standards of sustainability.
Neuron’s smart building technology and AI strategy are underpinned by the vast industry expertise and knowledge inherited from Arup. Specifically:
This ensures a high standard of performance and reliability.
Neuron’s energy savings calculations can be tailored to the customer’s specific requirements. Two key approaches include:
Additionally, Neuron considers the Coefficient of Performance (COP) of the HVAC system as an important factor in its energy savings calculations.
Kai Tak’s iconic landmark spearheads building intelligence with Neuron IoT Hub, Building Analytics, 3D Digital Twin and AI-based HVAC optimisation.
Two Taikoo Place sets new heights for sustainable digital integration through Neuron’s IoT Hub, 3D Digital Twin, AR Patrolling and ML- assisted chiller plant optimisation.
Electrical & Mechanical Services Department unlocks efficiency for over 400 government buildings with Neuron’s City-Wide GIS Monitoring and performance benchmarking.
Neuron enables Digitalisation and Building Analytics for Construction Industry Council’s 5 buildings, including Zero Carbon Park.
