Air-side Optimisation (iAir manager)

Catalogue

In line with Daikin’s global policy to provide green and sustainable air-conditioning solutions for building developers and owners, we are offering air-side optimization solutions to further improve energy efficiency while enhancing occupant wellbeing. These solutions can be integrated with our efficient equipment, water-side optimization and building control capabilities for a full building airconditioning solution.

What is Air Side Optimization?

iAir Manager (iAM) is a dedicated the air handling unit (AHU) and fan coil unit (FCU) optimization solution with predictive analytics and control software - creating a comfortable interior environment while maintaining excellent energy efficiency.

iAM can achieve optimization and prediction in real-time without the need of cloud connectivity. It uses on-board, real time machine learning analytics, measurement & verification (M&V) system to continuously predict and re-adjust terminal units for optimal performance.

Cooling energy saving

Up to 35%

Eliminate temperature and Humidity Swing

Improved Thermal Comfort experience and stable comfort via Predictive control

Improved Operational Efficiency

with maintenance support system

Total System Optimization

Enhanced chiller plant Optimization system

Features

Smart Predictive Control
Smart Chilled Water Reset
Dynamic Chilled Water Balancing

True Digital Twin

HVAC components like chillers and air handling units can benefit from True Digital Twin, which helps to reduce energy, operation, and maintenance costs. With a genuine understanding of equipment capabilities, decision on retrofitting or optimizing performance can be made more effectively.

Digital Twin provides a cost-effective way to continuouly monitor the system digitally, updated in real-time with performance informance.

First Principle + Data-driven Model

Energy Simulation

The energy simulation of Air Handling Unit assesses the impact of energy wastage, thermal comfort and components efficiencies. Simulations like these help to identify optimum point of operation, components inefficiencies and maintenance effectiveness.

Accelerate simulation speed relative to real-time to rapidly visualize evolving behavior, delivering predictions in just a few seconds.

Leverage built-in aggregate analytics to capture and visualize trends in real- time while a simulation is running. Query the state of components and compare with actual operation, with continuous refreshes.

Server Capability

iAM’s predictive analytics enable proactive maintenance of air handling unit components, estimating time-to-maintenance and identifying affected areas.

This includes detecting abnormal sensor readings, triggering secondary control, and alerting for rectification. Redundant control ensures thermal comfort and minimizes downtime.

The analytics also verify maintenance effectiveness by comparing equipment performance before and after maintenance, ensuring significant improvement in equipment health.

Predictive Maintenance

The server is powerful enough to run localized multivariate polynomial regression, exponential degradation and logarithmic decay machine learning model. make true digital twin possible without the need of cloud connectivity.

The server includes a powerful permission system thatprovides a high standard of authentication. It can run multiplecontrol programs, manage built-in I/O alarms and users,handle scheduling and logging, and communicate using avariety of protocols.