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Input-output table of electricity demand and its application

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  • Mu, Tao
  • Xia, Qing
  • Kang, Chongqing

Abstract

It is very important for electric utility to determine dominant sectors which have more impacts on electricity consumption in national economy system. In this paper, an input-output perspective and methodology is proposed to handle this issue. The input-output table of electricity demand (IOTED) is put forward based on the input-output table of national economy (IOTNE). The relevancy of electricity demand in various sectors is revealed by means of electricity consumption chains (ECCs), which are key components in the IOTED. Besides, a new concept, electricity demand multiplier (EDM), is presented to identify dominant sectors imposing great impacts on electricity demand quantitatively. In order to testify the effectiveness of the proposed methodology, a case based on provincial economy system in China is studied. Dominant sectors are identified and discussed.

Suggested Citation

  • Mu, Tao & Xia, Qing & Kang, Chongqing, 2010. "Input-output table of electricity demand and its application," Energy, Elsevier, vol. 35(1), pages 326-331.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:1:p:326-331
    DOI: 10.1016/j.energy.2009.09.024
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    7. Gao Jingxin & Chen Yunong & Zhong Xiaoyang & Ma Xianrui, 2021. "Energy Consumption in China’s Construction Industry: Energy Driving and Driven Abilities from a Regional Perspective," Journal of Systems Science and Information, De Gruyter, vol. 9(1), pages 45-60, February.
    8. Fu, Z.H. & Xie, Y.L. & Li, W. & Lu, W.T. & Guo, H.C., 2017. "An inexact multi-objective programming model for an economy-energy-environment system under uncertainty: A case study of Urumqi, China," Energy, Elsevier, vol. 126(C), pages 165-178.
    9. Meng, F.Y. & Zhou, D.Q. & Zhou, P. & Bai, Y., 2014. "Sectoral comparison of electricity-saving potentials in China: An analysis based on provincial input–output tables," Energy, Elsevier, vol. 72(C), pages 772-782.
    10. Oliveira, Carla & Antunes, Carlos Henggeler, 2011. "A multi-objective multi-sectoral economy–energy–environment model: Application to Portugal," Energy, Elsevier, vol. 36(5), pages 2856-2866.
    11. Oliveira, C. & Coelho, D. & Pereira da Silva, P. & Antunes, C.H., 2013. "How many jobs can the RES-E sectors generate in the Portuguese context?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 444-455.
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    13. Ren, Yulong & Fu, Shijun, 2010. "A quantitative model of regulator’s preference factor (RPF) in electricity–environment coordinated regulation system," Energy, Elsevier, vol. 35(12), pages 5185-5191.

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