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Carbon Emissions Peak Prediction and the Reduction Pathway in Buildings during Operation in Jilin Province Based on LEAP

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  • Haiyan Duan

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Shipei Zhang

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Siying Duan

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Weicheng Zhang

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Zhiyuan Duan

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Shuo Wang

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Junnian Song

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Xian’en Wang

    (College of New Energy and Environment, Jilin University, Changchun 130012, China)

Abstract

The building sector has gradually become a major contributor of carbon emissions in recent years. Its carbon emissions, which result from the long heating period and considerable consumption of coal in residential buildings during operation, must be reduced. To this end, the long-range energy alternatives planning system was adopted for the forecasting of carbon emissions in baseline scenarios, energy-saving, energy-saving–low-carbon, and low-carbon. On the basis of these predictions, the contributions of heating, cooling, cooking, illumination, washing, and other activities to carbon emissions were analyzed. The influencing factors in the reduction of carbon emissions from residential buildings in a cold region were identified. The results showed that energy-saving–low-carbon was the optimal scenario to reduce carbon emissions. Meanwhile, carbon emissions will peak in 2030, with a value of 42.06 Mt under the same scenario. As the top three influencing factors, heating, cooling, and cooking contribute 55.74%, 18.86%, and 17.29% of carbon emissions, respectively. Sensitivity results showed the differential effects of 32 factors on the reduction of carbon emissions in residential buildings. Carbon emissions could be reduced by 17.41%, 35.51%, 31.10%, and 14.10% by controlling the building scale, heating, cooling, and cooking, respectively. To this end, seven factors, including the rationing of central heating, were identified. Then, pathways to reducing carbon emissions were proposed under different scenarios. The present research fills the gap between reality and the predicted pathway, considering the heterogeneity of the climate.

Suggested Citation

  • Haiyan Duan & Shipei Zhang & Siying Duan & Weicheng Zhang & Zhiyuan Duan & Shuo Wang & Junnian Song & Xian’en Wang, 2019. "Carbon Emissions Peak Prediction and the Reduction Pathway in Buildings during Operation in Jilin Province Based on LEAP," Sustainability, MDPI, vol. 11(17), pages 1-23, August.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4540-:d:259581
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    References listed on IDEAS

    as
    1. Z. G. Liu & S. S. Wang & J. Y. Liu & F. Liu & X. L. Fu, 2015. "Analysis of factors affecting CO2 emissions by civil buildings in China's urban areas," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 10(4), pages 460-463.
    2. De Lauretis, Simona & Ghersi, Frédéric & Cayla, Jean-Michel, 2017. "Energy consumption and activity patterns: An analysis extended to total time and energy use for French households," Applied Energy, Elsevier, vol. 206(C), pages 634-648.
    3. Yujiao Xian & Kexin Yang & Ke Wang & Yi-Ming Wei & Zhimin Huang, 2019. "Cost-environment efficiency analysis of construction industry in China: A materials balance approach," CEEP-BIT Working Papers 122, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Wan, K. S. Y. & Yik, F. W. H., 2004. "Building design and energy end-use characteristics of high-rise residential buildings in Hong Kong," Applied Energy, Elsevier, vol. 78(1), pages 19-36, May.
    5. Bárbara Torregrosa-Jaime & Benjamín González & Pedro J. Martínez & Gaspar Payá-Ballester, 2018. "Analysis of the Operation of an Aerothermal Heat Pump in a Residential Building Using Building Information Modelling," Energies, MDPI, vol. 11(7), pages 1-17, June.
    6. Ma, Minda & Cai, Wei & Cai, Weiguang, 2018. "Carbon abatement in China's commercial building sector: A bottom-up measurement model based on Kaya-LMDI methods," Energy, Elsevier, vol. 165(PA), pages 350-368.
    7. Chau, C.K. & Leung, T.M. & Ng, W.Y., 2015. "A review on Life Cycle Assessment, Life Cycle Energy Assessment and Life Cycle Carbon Emissions Assessment on buildings," Applied Energy, Elsevier, vol. 143(C), pages 395-413.
    8. Young-Sun Jeong, 2017. "Assessment of Alternative Scenarios for CO 2 Reduction Potential in the Residential Building Sector," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    9. Jiang, Jinhe, 2016. "China's urban residential carbon emission and energy efficiency policy," Energy, Elsevier, vol. 109(C), pages 866-875.
    10. Mavromatidis, Georgios & Orehounig, Kristina & Richner, Peter & Carmeliet, Jan, 2016. "A strategy for reducing CO2 emissions from buildings with the Kaya identity – A Swiss energy system analysis and a case study," Energy Policy, Elsevier, vol. 88(C), pages 343-354.
    11. Sadri, A. & Ardehali, M.M. & Amirnekooei, K., 2014. "General procedure for long-term energy-environmental planning for transportation sector of developing countries with limited data based on LEAP (long-range energy alternative planning) and EnergyPLAN," Energy, Elsevier, vol. 77(C), pages 831-843.
    12. Shimoda, Yoshiyuki & Yamaguchi, Yukio & Okamura, Tomo & Taniguchi, Ayako & Yamaguchi, Yohei, 2010. "Prediction of greenhouse gas reduction potential in Japanese residential sector by residential energy end-use model," Applied Energy, Elsevier, vol. 87(6), pages 1944-1952, June.
    13. Minda Ma & Ran Yan & Weiguang Cai, 2017. "An extended STIRPAT model-based methodology for evaluating the driving forces affecting carbon emissions in existing public building sector: evidence from China in 2000–2015," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 741-756, November.
    14. Niu, Shuwen & Zhang, Xin & Zhao, Chunsheng & Niu, Yunzhu, 2012. "Variations in energy consumption and survival status between rural and urban households: A case study of the Western Loess Plateau, China," Energy Policy, Elsevier, vol. 49(C), pages 515-527.
    15. Asaee, S. Rasoul & Sharafian, Amir & Herrera, Omar E. & Blomerus, Paul & Mérida, Walter, 2018. "Housing stock in cold-climate countries: Conversion challenges for net zero emission buildings," Applied Energy, Elsevier, vol. 217(C), pages 88-100.
    16. He, Qi & Jiang, Xujia & Gouldson, Andy & Sudmant, Andrew & Guan, Dabo & Colenbrander, Sarah & Xue, Tao & Zheng, Bo & Zhang, Qiang, 2016. "Climate change mitigation in Chinese megacities: A measures-based analysis of opportunities in the residential sector," Applied Energy, Elsevier, vol. 184(C), pages 769-778.
    17. Tan, Xianchun & Lai, Haiping & Gu, Baihe & Zeng, Yuan & Li, Hui, 2018. "Carbon emission and abatement potential outlook in China's building sector through 2050," Energy Policy, Elsevier, vol. 118(C), pages 429-439.
    18. Siller, Thomas & Kost, Michael & Imboden, Dieter, 2007. "Long-term energy savings and greenhouse gas emission reductions in the Swiss residential sector," Energy Policy, Elsevier, vol. 35(1), pages 529-539, January.
    19. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    20. Leibowicz, Benjamin D. & Lanham, Christopher M. & Brozynski, Max T. & Vázquez-Canteli, José R. & Castejón, Nicolás Castillo & Nagy, Zoltan, 2018. "Optimal decarbonization pathways for urban residential building energy services," Applied Energy, Elsevier, vol. 230(C), pages 1311-1325.
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    Cited by:

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    2. Wu, Wei & Zhang, Tingting & Xie, Xiaomin & Huang, Zhen, 2021. "Regional low carbon development pathways for the Yangtze River Delta region in China," Energy Policy, Elsevier, vol. 151(C).
    3. Mingyue Chen & Chao Zhang & Chuanming Chen & Jinsheng Li & Wenyue Cui, 2023. "Main Pathways of Carbon Reduction in Cities under the Target of Carbon Peaking: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 15(11), pages 1-19, June.

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