|
Building Owner
|
Best Profit Limited
|
Installation of smart energy management platform for data collection and visualisation, performance monitoring and evaluation, demand control and efficiency optimisation
Using AI solution and data mining technologies to optimise energy efficiency and operational performance for major equipment and building services systems
| | Building/Project Name |
Olympian City 3
| | Systems |
Smart control Platform
| | Building Types |
Commercial - Retail
|
Description of the building:
- Wholly owned Shopping Arcade.
- Two floors shopping centre.
- Fully water-cooled air-conditioned system.
- BMS monitored A/C & Electrical System.
|
|
 |
Retrofitted initiative:
- For unlocking the saving from the operation of A/C plant.
- A trial project for energy saving using machine learning and A.I. functions.
- Time-consuming manual processes: This included the manual switching on/ off of chillers, and the setting of temperature based on experience and weather forecasts. Depending on the time of day, weather conditions and shopping mall traffic, the facility team would determine each time the number of chillers required for the day.
- Limited capacity to save energy: Facility team rarely had the opportunity to assess the system data and to put forth strategies for energy saving which is typically done through trial and error.
- Limited information: With mostly manual control, there was a lack of comprehensive information on chiller conditions, nor a sequencing that ran on an energy-conscious manner.
Observed benefits other than energy saving:
- Early fault detection & early warning function.
- Comprehensive charting and data analysis for system performance.
- Auto staging (up/ down) based on weather condition and cooling load.
- Reduce carbon emissions as a result of improved energy efficiency.
General observations of the retrofitting project:
- Achieved an energy saving of more than 8% and reduced over 25 tonnes of carbon dioxide emissions from 2022 Apr to 2022 June.
Other information:
- Chiller plant optimisation monitoring and control system using smart/AI technologies
| Cost |
Saving |
| Total cost: |
HKD 360,000 |
Total savings/year: |
Average 9.2%, Annual Saving = total annualelectricity cost * 9.2% |
| Payback: |
~ 5.8 years |
| Name of the consultant and contractor |
| CLPe Solutions Limited |
| Award |
| Award received by the project: |
CLP Smart Energy Award 2020
- Smart Technology Excellence Award
|
| Subsidy/ Funding |
| The project is supported by: |
CLP Eco Building Fund |
| |
|
Installation of smart energy management platform for data collection and visualisation, performance monitoring and evaluation, demand control and efficiency optimisation
Using AI solution and data mining technologies to optimise energy efficiency and operational performance for major equipment and building services systems
|
|
|
Building Owner
|
Best Profit Limited
| | Building/Project Name |
Olympian City 3
| |
Systems |
Smart control Platform
| |
Building Types |
Commercial - Retail
|
Description of the building:
|
|
- Wholly owned Shopping Arcade.
- Two floors shopping centre.
- Fully water-cooled air-conditioned system.
- BMS monitored A/C & Electrical System.
|
|
|
Retrofitted initiative:
- For unlocking the saving from the operation of A/C plant.
- A trial project for energy saving using machine learning and A.I. functions.
- Time-consuming manual processes: This included the manual switching on/ off of chillers, and the setting of temperature based on experience and weather forecasts. Depending on the time of day, weather conditions and shopping mall traffic, the facility team would determine each time the number of chillers required for the day.
- Limited capacity to save energy: Facility team rarely had the opportunity to assess the system data and to put forth strategies for energy saving which is typically done through trial and error.
- Limited information: With mostly manual control, there was a lack of comprehensive information on chiller conditions, nor a sequencing that ran on an energy-conscious manner.
Observed benefits other than energy saving:
- Early fault detection & early warning function.
- Comprehensive charting and data analysis for system performance.
- Auto staging (up/ down) based on weather condition and cooling load.
- Reduce carbon emissions as a result of improved energy efficiency.
General observations of the retrofitting project:
- Achieved an energy saving of more than 8% and reduced over 25 tonnes of carbon dioxide emissions from 2022 Apr to 2022 June.
Other information:
- Chiller plant optimisation monitoring and control system using smart/AI technologies
| Cost |
Saving |
| Total cost: |
HKD 360,000 |
Total savings/year: |
Average 9.2%, Annual Saving = total annualelectricity cost * 9.2% |
| Payback: |
~ 5.8 years |
| Name of the consultant and contractor |
| CLPe Solutions Limited |
| Award |
| Award received by the project: |
CLP Smart Energy Award 2020
- Smart Technology Excellence Award
|
| Subsidy/ Funding |
| The project is supported by: |
CLP Eco Building Fund |
| |
|
Installation of smart energy management platform for data collection and visualisation, performance monitoring and evaluation, demand control and efficiency optimisation
Using AI solution and data mining technologies to optimise energy efficiency and operational performance for major equipment and building services systems
|
|
|
