A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Evaluation of air distribution system's airflow performance for cooling energy savings in high-density data centers
Graphical abstract
Highlights We derive energy savings factor through improved airflow performance and efficiency in a massively energy consuming high-density data center as well as individual design factor's effectiveness for overall, objective performance index. Standard module for analyzing IT server room's thermal efficiency is configured by a minimum of two cold aisle and two hot aisle. Four airflow performance metrics were computed with CFD modeling of 46 different design alternatives to evaluate the thermal environment in a typical data center module. Overall design adequacy is evaluated in consideration to individual effects.
Abstract The goal of air management system in high-density data centers is to minimize hot air re-circulation and cold air by-pass in data centers. If successfully implemented, both goals will result in energy savings and enhanced thermal conditions. Air management helps to reduce operating costs by enhancing economizer utilization and improving cooling system efficiency. Metrics play a significant role in providing performance indices, which include Supply/Return Heat Index (SHI/RHI), the rack cooling index (RCI) and the return temperature index (RTI), of air management systems. CFD simulation estimates temperature and airflow in the data center as well as to provide wealth of information to evaluate airflow performance. This study defines four performance metrics that analyzes air management systems. These metrics were computed with CFD modeling of 46 different design alternatives to evaluate the thermal environment in a typical data center module. Advanced and comprehensive evaluation index of cooling efficiency was also derived as well-crafted metrics will undoubtedly play an important role.
Evaluation of air distribution system's airflow performance for cooling energy savings in high-density data centers
Graphical abstract
Highlights We derive energy savings factor through improved airflow performance and efficiency in a massively energy consuming high-density data center as well as individual design factor's effectiveness for overall, objective performance index. Standard module for analyzing IT server room's thermal efficiency is configured by a minimum of two cold aisle and two hot aisle. Four airflow performance metrics were computed with CFD modeling of 46 different design alternatives to evaluate the thermal environment in a typical data center module. Overall design adequacy is evaluated in consideration to individual effects.
Abstract The goal of air management system in high-density data centers is to minimize hot air re-circulation and cold air by-pass in data centers. If successfully implemented, both goals will result in energy savings and enhanced thermal conditions. Air management helps to reduce operating costs by enhancing economizer utilization and improving cooling system efficiency. Metrics play a significant role in providing performance indices, which include Supply/Return Heat Index (SHI/RHI), the rack cooling index (RCI) and the return temperature index (RTI), of air management systems. CFD simulation estimates temperature and airflow in the data center as well as to provide wealth of information to evaluate airflow performance. This study defines four performance metrics that analyzes air management systems. These metrics were computed with CFD modeling of 46 different design alternatives to evaluate the thermal environment in a typical data center module. Advanced and comprehensive evaluation index of cooling efficiency was also derived as well-crafted metrics will undoubtedly play an important role.
Evaluation of air distribution system's airflow performance for cooling energy savings in high-density data centers
Cho, Jinkyun (author) / Yang, Joonyoung (author) / Park, Woopyoung (author)
Energy and Buildings ; 68 ; 270-279
2013-09-09
10 pages
Article (Journal)
Electronic Resource
English
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