Source Journal of CSCD
Source Journal for Chinese Scientific and Technical Papers
Core Journal of RCCSE
Included in JST China
Volume 40 Issue 12
Nov.  2022
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Article Contents
LU Yao, WANG Hongyan, LI Yanfeng, PANG Mingxin, WAN Dandan. A WATER-ENERGY-CARBON FOOTPRINT NEXUS MODEL FOR LARGE SPORTS VENUES AND ITS UNCERTAINTY ANALYSIS[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(12): 165-172. doi: 10.13205/j.hjgc.202212022
Citation: LU Yao, WANG Hongyan, LI Yanfeng, PANG Mingxin, WAN Dandan. A WATER-ENERGY-CARBON FOOTPRINT NEXUS MODEL FOR LARGE SPORTS VENUES AND ITS UNCERTAINTY ANALYSIS[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(12): 165-172. doi: 10.13205/j.hjgc.202212022

A WATER-ENERGY-CARBON FOOTPRINT NEXUS MODEL FOR LARGE SPORTS VENUES AND ITS UNCERTAINTY ANALYSIS

doi: 10.13205/j.hjgc.202212022
  • Received Date: 2022-04-08
    Available Online: 2023-03-23
  • A water-energy-carbon footprint nexus model was proposed to be used for calculating the energy consumption and carbon footprint of sports venues. Meanwhile, the uncertainty of the water system carbon footprint of sports venues was analyzed, and the definition of the characteristic emission factors was proposed. By analyzing the characteristics of most kinds of sports venues, the emission factor method was adopted in the model including domestic water system, air conditioning water system and sports water system of sports venues, in which the energy consumption and carbon emission of water intake, water supply, water use and drainage were analyzed. The numerical uncertainty analysis was carried out by combining data quality evaluation with random analysis. The scenario uncertainty analysis was performed by scenario analysis and sensitivity analysis for identifying and quantifying the influencing factors. A case study of the National Sliding Centre in Yanqing Area of 2022 Beijing Winter Olympic Games was conducted. The results showed that the carbon emissions of ice making and heating were the highest at 161.2 t CO2 and 114.3 t CO2 respectively in the operation stage. The carbon emissions were reduced by 65.4% under the scenario of advanced technology+clean energy, and the coefficient of variation was 0.183~0.187. The research indicated the measures of adopting green electricity, water-saving sanitary wares, recycling water and improving energy efficiency achieved stable emission reduction effect.
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