Journal of Natural Resources, Volume. 35, Issue 11, 2759(2020)

Calculation and evaluation of the comprehensive benefit ratio of clean energy utilization: Taking clean energy heating in Guanzhong Plain as an example

Yue-qing DING1... Zeng-lin HONG1,2,3,*, Guang JIN4, Ya-ge ZHANG4, Xu-ping XUE2 and Jian-hua YANG1 |Show fewer author(s)
Author Affiliations
  • 1School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
  • 2Shaanxi Institute of Geological Survey, Xi'an 710054, China
  • 3School of Earth Science and Resources, Chang'an University, Xi'an 710054, China
  • 4Shaanxi Hydrogeology Engineering Geology and Environment Geology Survey Center, Xi'an 710054, China
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    Figures & Tables(5)
    Framework of comprehensive benefit evaluation model for clean energy heating
    • Table 1. Selection of cold and heat sources and equipment for commercial buildings in Xi'an

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      Table 1. Selection of cold and heat sources and equipment for commercial buildings in Xi'an

      方案动力设备型号及规格备注
      方案A1煤改电空气源热泵机组型号:TASD440AH制热量:475 kW制热性能系数:3.28制冷量:440 kW制冷性能系数:3.02冬季+夏季
      方案A2煤改气天然气锅炉型号:CWNS1.4-85/65-Y额定回水/出水温度:85/65 ℃仅冬季制热
      方案A3浅层地热能螺杆式地源热泵机组型号:WPS405.2CFFST-B制热量:1416.7 kW制热性能系数:4.76制冷量:1440.8 kW制冷性能系数:6.81冬季+夏季
      竖井井深:120 m孔径:200 mm孔间距:4.5 m
      空气源热泵机组型号:LSQWRF520M/A制热量:552 kW制热性能系数:3.29制冷量:520 kW制冷性能系数:3.02冬季+夏季
      冷水机组型号:30HXC-350AH制冷量:1218 kW制冷性能系数:5.21
      冷却塔型号:DFT350进出水温度:35/30 ℃流量:275 m3/h
      蓄能池
    • Table 2. Original data of the scheme

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      Table 2. Original data of the scheme

      XijK1K2K3K4K5
      Xi1Xi2Xi3Xi4Xi5Xi6Xi7Xi8Xi9Xi10Xi11Xi12Xi13Xi14Xi15Xi16Xi17Xi8Xi19Xi20
      X1j7.468.3317.86971.87.54375.337.958.58106.060007.387.547.388.648.788.858.248.29
      X2j7.237.746.56203.276.87148.327.527.3242.1562.9562.95151.087.968.357.137.298.358.858.187.74
      X3j8.688.6317.981399.78.93175.1278.86166.10008.798.878.458.958.568.78.478.46
      X0j8.688.6317.981399.78.93148.327.958.86166.10008.798.878.458.968.788.858.478.46
    • Table 3. Calculation results of correlation coefficient

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      Table 3. Calculation results of correlation coefficient

      ξijK1K2K3K4K5
      Xi1Xi2Xi3Xi4Xi5Xi6Xi7Xi8Xi9Xi10Xi11Xi12Xi13Xi14Xi15Xi16Xi17Xi8Xi19Xi20
      ξ1j0.37270.59730.97940.58290.42560.333310.73330.50791110.33330.33330.38150.7316110.38670.6792
      ξ2j0.33330.33330.33330.33330.333310.52490.33330.33330.33330.33330.33330.45930.56120.33330.33730.333310.33330.3333
      ξ3j111110.66390.33331111111110.49420.333311
    • Table 4. Calculation results of correlation degree

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      Table 4. Calculation results of correlation degree

      ξiDPSIR影响因子效益属性因子ζi
      K1K2K3K4K5EcEnS
      A10.12980.11970.18120.08610.12670.13240.17210.38010.6435
      A20.06820.10420.06830.08120.10340.09740.07350.25430.4254
      A30.20480.14580.2050.09220.14490.18340.2030.50630.7927
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    Yue-qing DING, Zeng-lin HONG, Guang JIN, Ya-ge ZHANG, Xu-ping XUE, Jian-hua YANG. Calculation and evaluation of the comprehensive benefit ratio of clean energy utilization: Taking clean energy heating in Guanzhong Plain as an example[J]. Journal of Natural Resources, 2020, 35(11): 2759

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    Paper Information

    Received: Jun. 5, 2019

    Accepted: --

    Published Online: May. 8, 2021

    The Author Email: HONG Zeng-lin (lhqhzl@163.com)

    DOI:10.31497/zrzyxb.20201115

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