Description
About Client
Our client is a prominent telecommunications company that operates a large 2-floor data center. 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.
Project Goal
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:
01
Historical data acquisition and analysis
02
BMS Reprogramming and Sensor Installation
03
BMS Integration and Live Data Acquisition
04
Chiller plant optimization models development
05
Chiller Plant Control Test and Integration
06
Optimization model deployment and T&C
07
Dashboard Creation and integration of result
Strategy
01
Chiller Staging
02
Chiller Sequencing and Chilled Water Supply temperature reset
03
Chilled Water Pump Staging (operating an additional pump)
04
Condensing Water Pump Staging (operating an additional pump)
05
Cooling Towers Sequencing Staging (operating an additional cooling tower)
06
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.
Results
15%
Energy Consumption Saved Annually