小型数据中心气流组织及能耗优化
发布时间：2018-08-15 11:45
【摘要】：数据中心空调系统的首要任务是保证服务器的安全可靠运行.为了达到这个目标,很多数据中心的空调系统在欠负荷下运行,造成能源的浪费.这主要是因为气流组织的不合理造成局部区域报警从而启动了多余的制冷设备.为了节省能源和研究合理的气流组织,以一个存在上述问题的小型数据中心为例进行了研究.首先用数值分析的方法建立了数学模型,然后用实测数据提供了模拟中需要的边界条件,模拟得到其速度场和温度场情况,再用实测数据验证了模型模拟结果,然后根据实测和模拟结果用评价参数评价其能耗水平,最后提出改造方案.结果表明,在热扩散不好的区域增加智能风扇系统有效地改善了气流组织的情况,与一般的通风系统相比,这种系统每年可以降低38%的能耗.
[Abstract]:The primary task of the data center air-conditioning system is to ensure the safe and reliable operation of the server. To achieve this goal, air conditioning systems in many data centers operate under load, resulting in a waste of energy. This is mainly due to unreasonable airflow organization resulting in local area alarm and the activation of redundant refrigeration equipment. In order to save energy and study reasonable airflow distribution, a small data center with these problems was studied. First, the mathematical model is established by numerical analysis, then the boundary conditions needed in the simulation are provided with the measured data. The velocity field and temperature field are obtained by simulation, and the simulation results are verified with the measured data. Then the energy consumption level is evaluated with the evaluation parameters according to the measured and simulated results. Finally, the retrofit scheme is put forward. The results show that an intelligent fan system can effectively improve the airflow distribution in areas with poor thermal diffusion. Compared with the general ventilation system, the energy consumption of this system can be reduced by 38% per year.
【作者单位】： 天津大学环境科学与工程学院;天津大学超算中心;
【基金】：国家重点基础研究发展计划(973计划)资助项目(2012CB720100)
【分类号】：TU831.8
[Abstract]:The primary task of the data center air-conditioning system is to ensure the safe and reliable operation of the server. To achieve this goal, air conditioning systems in many data centers operate under load, resulting in a waste of energy. This is mainly due to unreasonable airflow organization resulting in local area alarm and the activation of redundant refrigeration equipment. In order to save energy and study reasonable airflow distribution, a small data center with these problems was studied. First, the mathematical model is established by numerical analysis, then the boundary conditions needed in the simulation are provided with the measured data. The velocity field and temperature field are obtained by simulation, and the simulation results are verified with the measured data. Then the energy consumption level is evaluated with the evaluation parameters according to the measured and simulated results. Finally, the retrofit scheme is put forward. The results show that an intelligent fan system can effectively improve the airflow distribution in areas with poor thermal diffusion. Compared with the general ventilation system, the energy consumption of this system can be reduced by 38% per year.
【作者单位】： 天津大学环境科学与工程学院;天津大学超算中心;
【基金】：国家重点基础研究发展计划(973计划)资助项目(2012CB720100)
【分类号】：TU831.8
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