Session: 02-06: HVAC System Analysis II

Paper Number: 130627

130627 - The Optimized Operation Strategy of Centralized Water-Cooling Air Conditioning System in Multi-Terminal Data Center Based on Supply and Demand Matching 

Abstract: 

With the continuous development of digital economy, the number and scale of data centers are increasing year by year, and the energy consumption of data centers is also increasing, and increasingly become the focus of people's attention. At present, most of the data center heat system operation regulation depends on artificial experience, to meet the needs of the safe operation of the server is considered, not from the perspective of energy saving, heat system of indoor side heat environment control, and the cold source system side is not according to the end demand and the demand difference between the end of the water supply temperature control and water flow optimization distribution, not only makes the natural cold source is not effectively use, and reduce the active cold source. In view of the energy consumption waste of air conditioning system caused by supply and demand mismatch and excessive cooling in most data center current operation, this study proposed an optimized operation strategy of centralized water-cooling air conditioning system in multi-terminal data center based on supply and demand matching. This study adopted the all-air system with cold and hot aisle isolation, and took room-level cooling terminal and centralized water-cooled heat dissipation system as the research object. The heat dissipation system includes a natural cooling source in series with an active cooling source. Chilled water circulates through a precision air conditioner to cool the air in the equipment room and dissipate heat in the rack. For the heterogeneous data center with the centralized water cooling source system with natural cold source, this study analyzed the heat transfer and thermodynamic process of the system, established the corresponding numerical model, and optimized the operation strategy of the system of centralized water-cooled air conditioning system in the data center. Through numerical simulation method, this study optimized the water supply temperature of the frozen water and distributed the frozen water flow according to the different demand of the terminal air conditioning of the data center, so as to extend the opening time of the natural cold source, improve the COP of the chiller, reduce the energy consumption of the cold source system, and reduce the energy consumption waste of the air conditioning system. The numerical simulation results demonstrated that, taking a data center in Beijing as an example, compared to the unoptimized working condition, the data center with the optimization strategy increased the chilled water supply temperature by 5.9^oC, increased the natural cooling source opening time by 32.57%, reduced the annual energy consumption of the cooling source system by 353793.096kWh, and reduced the cooling load factor (CLF) by 28.7%.

Presenting Author: Yuyao Ge University of Science and Technology Beijing

Presenting Author Biography: Yuyao Ge is a graduate student pursuing a master's degree in Heating, Gas Supply, Ventilating and Air Conditioning Engineering at University of Science and Technology Beijing. Their passion lies in Energy saving of data center air conditioning system and they are committed to making significant contributions to the field. During this conference/seminar, Yuyao Ge will share their latest findings, offering fresh perspectives on Energy saving of data center air conditioning system. They look forward to engaging in fruitful discussions with fellow researchers and scholars in Energy saving of data center air conditioning system to foster collaborative opportunities for future research endeavors.

Authors:

Yuyao Ge University of Science and Technology Beijing
Rang Tu University of Science and Technology Beijing