Data Centre

● Chiller Staging
● Chiller Sequencing and Chilled Water Supply temperature reset
● Chilled Water Pump Staging (operating an additional pump)
● Condensing Water Pump Staging (operating an additional pump)
● Cooling Towers Sequencing Staging (operating an additional cooling tower)
● Cooling Tower Speed Control (Modulate from 25-50Hz)

Our Solutions

Over the first seven months following the implementation of our solution, the chiller plant electricity consumption was reduced by 18.65%, exceeding our initial target of 8-10% savings. To ensure a standardized and reliable approach to measuring the performance of our solution, we followed the guidelines set forth in the International Performance Measurement and Verification Protocol (IPMVP). In accordance with these guidelines, we established a baseline for our study by utilizing 12 months of historical data and cooling degree day information sourced from the Hong Kong Observatory. By using this data, we were able to perform the necessary calculations to establish a baseline level of electricity consumption for the chiller plant. This allowed us to accurately measure the savings achieved by our solution and ensure that our results were reliable and consistent with industry standards.


Carnot provided a web-based dashboard for the BMS operators to view and monitor performance diagnostic functions and proposed actions for fault detection, in which our client gained the benefits of learning and getting familiar with our advanced analytics platform. Now that optimization has been completed, the client has successfully saved over 11% of energy consumption annually, which reduced electricity cost for more than HKD120,000 (USD15,500) yearly. The 11% operational cost savings was achieved without additional retro-fits. Thus, it only took 1.5 years to cover the initial costs. Besides economic benefits, occupant enjoy higher comfort level with more consistent air conditioning control. Maintenance schedule is carried out in a routine manner for the reporting of several aspects, including an overall energy profile, achieved energy savings and fault prediction, savings forecast, status of AI model, and the means for further enhancement. Carnot continues with the ongoing maintenance and commissioning for the public facility, meanwhile in discussions with our partner for new project opportunities. Since the results in this project have been fairly satisfying, we are optimistic that our software can be widely used in other public transportation facilities.

Our client is a prominent telecommunications company based in Hong Kong that operates a large 2-floor data center in Jordan, Hong Kong. To support the operation of this data center, the company utilizes a 24-hour water-cooled chiller plant with a capacity of around 600 refrigeration tons (RT). This chiller plant consumes approximately 2,300,000 kilowatt-hours of electricity annually. The goal of our project was to reduce the electricity consumption of the chiller plant by 8-10% within 6 months of implementing a solution. To achieve this, we implemented an optimization algorithm that utilizes five additional indoor temperature sensors installed within the data center. By integrating the readings from these sensors into our optimization algorithm, we were able to enhance the monitoring of the indoor environment of the data center. This allowed us to identify opportunities to improve the efficiency of the chiller plant and reduce its electricity consumption while maintaining a suitable indoor environment for the data center's equipment.
Project Content
The project consists of 7 phrases:
1. Historical data acquisition and analysis
2. BMS Reprogramming and Sensor Installation
3. BMS Integration and Live Data Acquisition
4. Chiller plant optimization models development
5. Chiller Plant Control Test and Integration
6. Optimization model deployment and T&C
7. Dashboard Creation and integration of result
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Together we can apply a data driven approach to building management with advanced machine learning fault detection and AI controls.
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