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Multi-Scenario Analysis of Energy Consumption and Carbon Emissions: The Case of Hebei Province in China

Author

Listed:
  • Zeng Li

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China
    These authors contributed equally to this work.)

  • Jingying Fu

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    These authors contributed equally to this work.)

  • Gang Lin

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China)

  • Dong Jiang

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land &Resources, Beijing 100101, China)

  • Kun Liu

    (Land Satellite Remote Sensing Application Center, Ministry of Natural Resources Beijing 100048, China)

  • Yaxin Wang

    (Resource Information Center, Chinese Academy of Forestry Sciences, Beijing 100080, China)

Abstract

In view of the complexity of the energy system and its complex relationship with socio-economic factors, this study adopts the Long-range Energy Alternative Planning (LEAP) model, a technology-based, bottom-up approach, scenario-based analysis, to develop a systematic analysis of the current and future energy consumption, supply and associated Green House Gas (GHG) emissions from 2015 to 2050. The impact of various energy policies on the energy system in Hebei Province was analysed by considering four scenarios: a Reference Scenario (REF), Industrial Structure Optimization Scenario (ISO), Terminal Consumption Structure Optimization Scenario (TOS) and Low-carbon Development Scenario (LCD). By designing strategic policies from the perspective of industrial adjustment, aggressive energy structure policies and measures, such as the ISO and the TOS, and even more aggressive options, such as the LCD, where the percentage of cleaner alternative energy sources has been further increased, it has been indicated that energy consumption will have increased from 321.618 million tonnes of coal equivalent (Mtce) in 2015 to 784.88 Mtce in 2050 in the REF, with a corresponding increase in GHG emissions from 920.56 million metric tonnes (Mt) to 2262.81 Mt. In contrast, the more aggressive policies and strategies involved in the LCD, which combines the ISO with the policy-oriented TOS, can lower energy consumption by 50.82% and CO 2 emissions by 64.26%. The results shed light on whether and how these scenarios can shape the energy-carbon emission reduction trajectories and develop the low-carbon pathways in Hebei Province.

Suggested Citation

  • Zeng Li & Jingying Fu & Gang Lin & Dong Jiang & Kun Liu & Yaxin Wang, 2019. "Multi-Scenario Analysis of Energy Consumption and Carbon Emissions: The Case of Hebei Province in China," Energies, MDPI, vol. 12(4), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:624-:d:206319
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    References listed on IDEAS

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    2. Sung-Lin Hsueh & Yue Sun & Min-Ren Yan, 2019. "Conceptualization and Development of a DFuzzy Model for Low-Carbon Ecocities," Sustainability, MDPI, vol. 11(20), pages 1-15, October.

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