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Author:

Zhu Xueting (Zhu Xueting.) | Mu Xianzhong (Mu Xianzhong.) (Scholars:穆献中) | Hu Guangwen (Hu Guangwen.)

Indexed by:

SSCI EI Scopus SCIE

Abstract:

In this paper, the improved ecological network analysis framework is applied to study the internal metabolic process and external stability of the urban energy metabolism system. Firstly, based on the analysis of ecological network, the sectors are selected from the three stages of urban energy production, transformation and consumption to build an ecological network model. Then, according to the metabolic process and stability characteristics of urban energy system, the Network Environ Analysis and Ascendency are integrated, and the time dimension is expanded. Finally, the data of Beijing from 2007 to 2016 are selected for empirical study. The results show that: (1) the cumulative consumption of raw coal and coal products and natural gas has changed significantly, the former has decreased from 3448 x 10(4) tce to 1283 x 10(4) tce, and the latter has increased from 560 x 10(4) tce to 3699 x 10(4) tce; (2) the electricity, heat and water production and supply sector consumed the most energy; (3) the energy transfer pathways between sectors has changed significantly. The results of stability analysis show that the overall stability of Beijing's energy metabolism system is increasing year by year, but there is still space for further improvement. This provides an important reference for optimizing the energy utilization structure of Beijing in the future and further promoting clean energy initiatives.

Keyword:

Flow analysis Ecological network analysis framework Urban energy metabolic system Stability analysis Beijing Time dimension analysis

Author Community:

  • [ 1 ] [Zhu Xueting]Beijing Univ Technol, Inst Circular Econ, 100 Pingle Garden, Beijing 100124, Peoples R China
  • [ 2 ] [Mu Xianzhong]Beijing Univ Technol, Inst Circular Econ, 100 Pingle Garden, Beijing 100124, Peoples R China
  • [ 3 ] [Hu Guangwen]Beijing Univ Technol, Inst Circular Econ, 100 Pingle Garden, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 穆献中

    [Mu Xianzhong]Beijing Univ Technol, Inst Circular Econ, 100 Pingle Garden, Beijing 100124, Peoples R China

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Source :

ECOLOGICAL MODELLING

ISSN: 0304-3800

Year: 2019

Volume: 404

Page: 36-45

3 . 1 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:167

JCR Journal Grade:2

Cited Count:

WoS CC Cited Count: 31

SCOPUS Cited Count: 34

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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