|
Retrofitting Strategy |
Using AI solution and data mining technologies to optimise energy efficiency and operational performance for major equipment and building services systems
|
|
With advanced BMS, smart meters and IoT technologies, vast amount of data from building operation can be obtained. These real-time data collected can uncover the energy-saving opportunities and reveal the actual performance of major building services systems, such as chiller plants, AHU and VAV system.
By using AI energy optimisation platform which utilises machine learning, advanced data management techniques and physical principles, the representative models for real-time plant optimization can be developed holistically to achieve the overall optimal operation.
| | Consideration
|
- Big data analytics can also be used to support fault detection and diagnosis, enabling predictive maintenance to discover faults, investigate root problems and recommend best-suited solutions for achieving optimal performance and energy efficiency.
- The platform can provide holistic control of the whole chiller plant including chillers, cooling towers, pumps, etc. It determines the most efficient point of operation and overrides the BMS control to run the chiller plant at the optimal point.
| | Estimated Saving
| | The retrofit strategies is a mixture of different strategies and the saving estimation should be make reference to other single strategies.
|
|
