德国世图兹stulz授权代理商
机房精密空调、恒温恒湿空调、实验室空调、模块化数据中心
施耐德schneider品牌代理商
专业it设备配电电子游戏机推荐的解决方案

思科研发中心crac压缩机调频节能实施方案 -电子游戏机推荐


    introduction

  • the energy efficiency control system upgrade and retrofit-commissioning was completed on january 9th 2014 for the precision computer room air-conditioning (crac) units in the cisco shanhaidata room. to evaluate the post-retrofit energy savings results, principles of energy conservation measures (ecms) and impact of ecm implementation on the lab  temperature and relative humidity controls, a ten-day measurement and verification (m&v) process was performed from january 10th to january 19th 2014 for the cisco date room  located at the 900 yi shan rd, shanghai, china. the m&v activities performed comply with the principles and appropriate option path documented in the international performance measurement and verification protocol (ipmvp). an energy savings m&v plan was first established and documented. with reliable temperature, humidity data loggers and electric energy meters installed operational verification activities are accomplished through data trending, analysis, comparison between pre-retrofit and post-retrofit data sets. it is a comprehensive evaluation process for determining   savings and system performance.
  • m&v method and procedure

  • electric energy meters were installed on the electrical circuits of all two retrofitted precision crac units for retrofit isolation purposes. the table below records the power meters added and system performance parameters measured.
  • table 1: the measurement devices and parameters

  • no. of crac unit
    type of equipment
    magnification factor (mf)
    parameter monitored
    type of equipment
    test
    locations
    parameters
    monitored
    1535crac1
    power meter a1
    20
    power consumption
    temperature and relative humidity logger
    supply and return
    temperature,
    relative humidity
    1537crac2
    power meter a2
    20
    power consumption
    temperature and relative humidity logger
    supply and return
    temperature,
    relative humidity


  • good measurement practices are followed to enable calculation of energy savings with reasonable accuracy and repeatability. to determine the energy savings, the m&v activities were performed in two separate operational modes as baseline mode and energy efficiency mode. space temperature and relative humidity data for each unit was also measured and trended. the following table summarizes the detailed m&v procedures.
  • table 2: the m&v procedures

  • steps
    date
    time
    operational mode
    parameters measured
    1
    install temperature, relative humidity sensors and data loggers



    2
    1/10/2014
    11:00
    baseline
    test id: a1, data: a1;
    test id: a2, data:b1
    3
    1/11/2014
    11:00
    baseline
    test id: a1, data: a2;
    test id: a2, data:b2
    4
    1/12/2014
    11:00
    baseline
    test id: a1, data: a3;
    test id: a2, data:b3
    5
    1/13/2014
    11:00
    energy efficiency mode
    test id: a1, data: a4;
    test id: a2, data:b4
    6
    1/14/2014
    11:00
    baseline mode
    test id: a1, data: a5;
    test id: a2, data:b5
    7
    1/15/2014
    11:00
    energy efficiency mode
    test id: a1, data: a6;
    test id: a2, data:b6
    8
    1/16/2014
    11:00
    baseline mode
    test id: a1, data: a7;
    test id: a2, data:b7
    9
    1/17/2014
    11:00
    energy efficiency mode
    test id: a1, data: a8;
    test id: a2, data:b8
    10
    1/18/2014
    11:00
    energy efficiency mode
    test id: a1, data: a9;
    test id: a2, data:b9
    11
    1/19/2014
    11:00
    energy efficiency mode
    test id: a1, data: a10;
    test id: a2, data:b10
    12
    1/20/2014
    11:00
    end of the test
    test id: a1, data: a11;
    test id: a2, data:b11


  • at completion of the parameter measurement and data trending, all the above supply and return air temperature and relative humidity data were downloaded respectively from the data loggers. these data are further analyzed and compared to demonstrate the impacts of system upgrade and digi-crac optimal controls on the data center controlled environment.
  • meanwhile, the energy saving rate, which is defined as the energy savings over the baseline energy use, is determined by applying the following equations to the measured data


  • m&v data analysis

  • electric energy use comparison results
  • test forms are developed based on the m&v plan established. electric energy use was measured and recorded accordingly in the test forms for each crac unit.


  • with the same temperature and humidity set points maintained before and after switch-over, the energy saving rate is calculated from equation (5) based on the measurement data.

  • temperature and relative humidity comparison results
  • l1535 room crac unit t&h tracking

  • baseline mode
    energy efficiency mode
    supply air
    average temperature:   20.45
    average relative humidity:    54.86%
    average temperature:   21.02
    average relative humidity:   49.67%
    return air
      average temperature:   22.19
    average relative humidity:   51.20%
    average temperature:   22.81
    average relative humidity:   46.72%


上一页 1
分享网站
 
"));