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Analysis of the Driving Factors and Contributions to Carbon Emissions of Energy Consumption from the Perspective of the Peak Volume and Time Based on LEAP

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  • Lei Tian

    (Key Laboratory of Groundwater Resources and Environment of Ministry of Education, College of Environment and Resources, Jilin University, Changchun 130012, China)

  • Zhe Ding

    (Key Laboratory of Groundwater Resources and Environment of Ministry of Education, College of Environment and Resources, Jilin University, Changchun 130012, China)

  • Yongxuan Wang

    (Key Laboratory of Groundwater Resources and Environment of Ministry of Education, College of Environment and Resources, Jilin University, Changchun 130012, China)

  • Haiyan Duan

    (Key Laboratory of Groundwater Resources and Environment of Ministry of Education, College of Environment and Resources, Jilin University, Changchun 130012, China)

  • Shuo Wang

    (Key Laboratory of Groundwater Resources and Environment of Ministry of Education, College of Environment and Resources, Jilin University, Changchun 130012, China)

  • Jie Tang

    (Key Laboratory of Groundwater Resources and Environment of Ministry of Education, College of Environment and Resources, Jilin University, Changchun 130012, China)

  • Xian’en Wang

    (Key Laboratory of Groundwater Resources and Environment of Ministry of Education, College of Environment and Resources, Jilin University, Changchun 130012, China)

Abstract

Studying the driving factors and contributions of carbon emissions peak volume and time is essential for reducing the cumulative carbon emissions in developing countries with rapid economic development and increasing carbon emissions. Taking Jilin Province as a case study, four scenarios were set in this paper respectively: Business as Usual Scenario (BAU), Energy-Saving Scenario (ESS), Energy-Saving and Low-Carbon Scenario (ELS), and Low-Carbon Scenario (LCS). Furthermore, the carbon emissions were predicted according to the energy consumption based on the application of LEAP system. The research result showed that the peak time of carbon emissions would appear in 2045, 2040, 2035 and 2025 under the four different scenarios, respectively. The peak volumes would be 489.8 Mt, 395.2 Mt, 305.3 Mt and 233.6 Mt, respectively. The cumulative emissions by 2050 are respectively 15.632 Bt, 13.321 Bt, 10.971 Bt and 8.379 Bt. According to the forecasting, we analyzed the driving factors of and contributions to carbon emissions peak volume and time. On the premise of moderate economic growth, the “structural emission reduction”, namely the adjustment of industrial structure and energy structure, and “technology emission reduction”, namely the reduction of energy intensity and carbon emission coefficient could make the peak volume reduced by 20%–52% and cumulative carbon emissions (2050) reduced by 15%–46% on the basis of BAU. Meanwhile, controlling the industrial structure, energy structure and energy intensity could make carbon emissions reach the peak 5–20 years ahead of the time on the basis of BAU. Controlling GDP, industrial structure, energy structure, energy intensity and coefficient of carbon emissions is the feasible method to adjust the carbon emissions peak volume and time in order to reduce the cumulative emissions.

Suggested Citation

  • Lei Tian & Zhe Ding & Yongxuan Wang & Haiyan Duan & Shuo Wang & Jie Tang & Xian’en Wang, 2016. "Analysis of the Driving Factors and Contributions to Carbon Emissions of Energy Consumption from the Perspective of the Peak Volume and Time Based on LEAP," Sustainability, MDPI, vol. 8(6), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:6:p:513-:d:70938
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    1. Park, Nyun-Bae & Yun, Sun-Jin & Jeon, Eui-Chan, 2013. "An analysis of long-term scenarios for the transition to renewable energy in the Korean electricity sector," Energy Policy, Elsevier, vol. 52(C), pages 288-296.
    2. Shabbir, Rabia & Ahmad, Sheikh Saeed, 2010. "Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap model," Energy, Elsevier, vol. 35(5), pages 2323-2332.
    3. Huang, Yophy & Bor, Yunchang Jeffrey & Peng, Chieh-Yu, 2011. "The long-term forecast of Taiwan’s energy supply and demand: LEAP model application," Energy Policy, Elsevier, vol. 39(11), pages 6790-6803.
    4. de Ia Rue du Can, Stephane & Price, Lynn, 2008. "Sectoral trends in global energy use and greenhouse gas emissions," Energy Policy, Elsevier, vol. 36(4), pages 1386-1403, April.
    5. Malte Meinshausen & Nicolai Meinshausen & William Hare & Sarah C. B. Raper & Katja Frieler & Reto Knutti & David J. Frame & Myles R. Allen, 2009. "Greenhouse-gas emission targets for limiting global warming to 2 °C," Nature, Nature, vol. 458(7242), pages 1158-1162, April.
    6. Hong, Sungjun & Chung, Yanghon & Kim, Jongwook & Chun, Dongphil, 2016. "Analysis on the level of contribution to the national greenhouse gas reduction target in Korean transportation sector using LEAP model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 549-559.
    7. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    8. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    9. Zhi-Fu Mi & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2014. "Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing," CEEP-BIT Working Papers 51, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    10. Gian-Reto Walther & Eric Post & Peter Convey & Annette Menzel & Camille Parmesan & Trevor J. C. Beebee & Jean-Marc Fromentin & Ove Hoegh-Guldberg & Franz Bairlein, 2002. "Ecological responses to recent climate change," Nature, Nature, vol. 416(6879), pages 389-395, March.
    11. Letschert, Virginie & Desroches, Louis-Benoit & Ke, Jing & McNeil, Michael, 2013. "Energy efficiency – How far can we raise the bar? Revealing the potential of best available technologies," Energy, Elsevier, vol. 59(C), pages 72-82.
    12. Zhou, Guanghui & Ou, Xunmin & Zhang, Xiliang, 2013. "Development of electric vehicles use in China: A study from the perspective of life-cycle energy consumption and greenhouse gas emissions," Energy Policy, Elsevier, vol. 59(C), pages 875-884.
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    Cited by:

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    2. Zhiyuan Duan & Xian’en Wang & Xize Dong & Haiyan Duan & Junnian Song, 2020. "Peaking Industrial Energy-Related CO 2 Emissions in Typical Transformation Region: Paths and Mechanism," Sustainability, MDPI, vol. 12(3), pages 1-19, January.
    3. Lai, Xiaodong & Liu, Jixian & Shi, Qian & Georgiev, Georgi & Wu, Guangdong, 2017. "Driving forces for low carbon technology innovation in the building industry: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 299-315.
    4. Wang, Jie & Xiong, Yiling & Tian, Xin & Liu, Shangwei & Li, Jiashuo & Tanikawa, Hiroki, 2018. "Stagnating CO2 emissions with in-depth socioeconomic transition in Beijing," Applied Energy, Elsevier, vol. 228(C), pages 1714-1725.
    5. Xianen Wang & Baoyang Qin & Hanning Wang & Xize Dong & Haiyan Duan, 2022. "Carbon Mitigation Pathways of Urban Transportation under Cold Climatic Conditions," IJERPH, MDPI, vol. 19(8), pages 1-16, April.

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