Volume 13: Proceedings Applied Energy Symposium: CUE2020, Part 2, Japan/Virtual, 2020

The temporal characteristics and decomposition analyses of energy consumption for industrial wastewater treatment in the Beijing-Tianjin-Hebei region Saige Wang, Bin Chen

Abstract

The multi-year wastewater-related energy in the Beijing-Tianjin-Hebei (BTH) region are calculated. The Logarithmic Mean Divisia Index (LMDI) method is used to analyze the driving factors of energy consumption for industrial wastewater treatment (wastewater-related energy). The results of driving force analysis illustrate that: From 2010 to 2018, the energy consumptions related to industrial wastewater in the BTH increase by 1.91, 1.50, and 1.11 times, respectively. The power consumption intensity and economic activity are the main drivers for the increase of industrial wastewater-related energy consumption. In contrast, the industrial structure is the main driver for its decrease. A significant increase in industrial wastewater-related energy consumption occurred between 2014 and 2018 (increased by 37.42 million kWh), while the decrease occurred from 2011 to 2014 (decreased by 11.02 million kWh). By identifying the critical driving factors of energy consumption change for wastewater treatment, this study aims to provide energy saving strategy to boost the synergies of energy-water nexus in industrial wastewater treatment.The multi-year wastewater-related energy in the Beijing-Tianjin-Hebei (BTH) region are calculated. The Logarithmic Mean Divisia Index (LMDI) method is used to analyze the driving factors of energy consumption for industrial wastewater treatment (wastewater-related energy). The results of driving force analysis illustrate that: From 2010 to 2018, the energy consumptions related to industrial wastewater in the BTH increase by 1.91, 1.50, and 1.11 times, respectively. The power consumption intensity and economic activity are the main drivers for the increase of industrial wastewater-related energy consumption. In contrast, the industrial structure is the main driver for its decrease. A significant increase in industrial wastewater-related energy consumption occurred between 2014 and 2018 (increased by 37.42 million kWh), while the decrease occurred from 2011 to 2014 (decreased by 11.02 million kWh). By identifying the critical driving factors of energy consumption change for wastewater treatment, this study aims to provide energy saving strategy to boost the synergies of energy-water nexus in industrial wastewater treatment.

Keywords Wastewater treatment, LMDI, energy consumption, industrial structure, energy-water nexus

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