Comprehensive Evaluation of Urban Energy Transformation Based on ISM and AHP

2020 
The quantitative evaluation of urban energy system is helpful for the sustainable development of urban economy and society, especially for the urban energy system transition. However, the comprehensive evaluation of energy systems faces the challenges of multi-dimensional variables, multi-structure coupling and multi-level structure. Taking Suzhou as an example, this paper proposes a comprehensive evaluation system of China’s industrial urban energy system based on the interpretative structural model and analytic hierarchy process, which solves the problems of direct correlation and hierarchical relationship of multidimensional variables of industrial urban energy system. On this basis, a comprehensive evaluation system for quantifying the energy system of industrial cities can be obtained through binary comparison. By substituting the statistical data of Suzhou from 2013 to 2018, the development of Suzhou urban energy system during this period is summarized and evaluated. Results: the overall development of Suzhou urban energy system is on the rise, and the most significant progress is in energy efficiency, energy structure, and industrial development. However, the self-sufficiency rate of electricity has dropped from 79% to 70%, so the pressure on energy security has increased, making the score of energy supply capacity fluctuating and rising. The score of energy consumption scale has decreased year by year from 2013 to 2017 and has increased in 2018. The energy intensity control is facing with a grim situation. The R&D intensity scores for 2017 and 2018 are lower than 2016. Further investment is required. Finally, based on the above data analysis, it provides references and suggestions for the subsequent energy development of Suzhou, And the feasibility and effectiveness of this method can be proved.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    0
    References
    0
    Citations
    NaN
    KQI
    []