IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v290y2024ics0360544224000732.html
   My bibliography  Save this article

Combined top-down and bottom-up approach for CO2 emissions estimation in building sector of beijing: Taking new energy vehicles into consideration

Author

Listed:
  • Wang, Qian
  • Zhu, Hongtao

Abstract

The current top-down method for calculating carbon emissions in the building sector erroneously includes carbon emissions from charging new energy vehicles (NEVs). This error is particularly concerning as the number of NEVs is expected to rise significantly in the future, thereby exacerbating the negative impact on the formulation of effective carbon reduction policies. This study analyzes carbon emissions in Beijing's building sector from 2011 to 2020 and estimates NEV-related indirect emissions from 2015 to 2020. Findings show that electricity consumption is the primary energy source in Beijing's building sector, increasing electricity-related carbon emissions from 63.36 % to 67.18 % of the total. Additionally, the indirect carbon emissions from NEVs have exhibited a steady increase from 208,800 tons in 2015 to 1.18 million tons in 2020, with their contribution to the overall carbon emissions from buildings escalating from 0.27 % to 1.44 %. Intriguingly, the study uncovers that private new energy cars do not significantly differ from conventional private fuel passenger cars in terms of their indirect carbon emissions. The findings of this study are expected to inform the development of accurate carbon emission estimation strategies in Beijing's building sector and facilitate the formulation of effective policies in the future.

Suggested Citation

  • Wang, Qian & Zhu, Hongtao, 2024. "Combined top-down and bottom-up approach for CO2 emissions estimation in building sector of beijing: Taking new energy vehicles into consideration," Energy, Elsevier, vol. 290(C).
  • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544224000732
    DOI: 10.1016/j.energy.2024.130302
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224000732
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.130302?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhou, Nan & Fridley, David & Khanna, Nina Zheng & Ke, Jing & McNeil, Michael & Levine, Mark, 2013. "China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model," Energy Policy, Elsevier, vol. 53(C), pages 51-62.
    2. Hofmann, Jana & Guan, Dabo & Chalvatzis, Konstantinos & Huo, Hong, 2016. "Assessment of electrical vehicles as a successful driver for reducing CO2 emissions in China," Applied Energy, Elsevier, vol. 184(C), pages 995-1003.
    3. Huo, Tengfei & Ma, Yuling & Xu, Linbo & Feng, Wei & Cai, Weiguang, 2022. "Carbon emissions in China's urban residential building sector through 2060: A dynamic scenario simulation," Energy, Elsevier, vol. 254(PA).
    4. Yao, Mingfa & Liu, Haifeng & Feng, Xuan, 2011. "The development of low-carbon vehicles in China," Energy Policy, Elsevier, vol. 39(9), pages 5457-5464, September.
    5. Kranzl, Lukas & Hummel, Marcus & Müller, Andreas & Steinbach, Jan, 2013. "Renewable heating: Perspectives and the impact of policy instruments," Energy Policy, Elsevier, vol. 59(C), pages 44-58.
    6. Wang, Hewu & Zhang, Xiaobin & Ouyang, Minggao, 2015. "Energy consumption of electric vehicles based on real-world driving patterns: A case study of Beijing," Applied Energy, Elsevier, vol. 157(C), pages 710-719.
    7. Liu, Yang & Wang, Yu & Huo, Hong, 2013. "Temporal and spatial variations in on-road energy use and CO2 emissions in China, 1978–2008," Energy Policy, Elsevier, vol. 61(C), pages 544-550.
    8. Xingping Zhang & Rao Rao & Jian Xie & Yanni Liang, 2014. "The Current Dilemma and Future Path of China’s Electric Vehicles," Sustainability, MDPI, vol. 6(3), pages 1-27, March.
    9. Zuo, Jian & Zhao, Zhen-Yu, 2014. "Green building research–current status and future agenda: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 271-281.
    10. Wang, Dawei & Zamel, Nada & Jiao, Kui & Zhou, Yibo & Yu, Shuhai & Du, Qing & Yin, Yan, 2013. "Life cycle analysis of internal combustion engine, electric and fuel cell vehicles for China," Energy, Elsevier, vol. 59(C), pages 402-412.
    11. Nan Zhou & Nina Khanna & Wei Feng & Jing Ke & Mark Levine, 2018. "Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050," Nature Energy, Nature, vol. 3(11), pages 978-984, November.
    12. Yang, Tao & Pan, Yiqun & Yang, Yikun & Lin, Meishun & Qin, Bingyue & Xu, Peng & Huang, Zhizhong, 2017. "CO2 emissions in China's building sector through 2050: A scenario analysis based on a bottom-up model," Energy, Elsevier, vol. 128(C), pages 208-223.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhao, Dan & Wang, Jian & Li, Ye-kai & Tang, Jin-huan & Zhang, Shui-wang, 2024. "How to promote the transition of fuel vehicle enterprises under dual credit policy? An improved tripartite evolutionary game analysis with time delay," Energy, Elsevier, vol. 293(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yanyan Ke & Lu Zhou & Minglei Zhu & Yan Yang & Rui Fan & Xianrui Ma, 2023. "Scenario Prediction of Carbon Emission Peak of Urban Residential Buildings in China’s Coastal Region: A Case of Fujian Province," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    2. Huo, Tengfei & Xu, Linbo & Liu, Bingsheng & Cai, Weiguang & Feng, Wei, 2022. "China’s commercial building carbon emissions toward 2060: An integrated dynamic emission assessment model," Applied Energy, Elsevier, vol. 325(C).
    3. Huo, Tengfei & Xu, Linbo & Feng, Wei & Cai, Weiguang & Liu, Bingsheng, 2021. "Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050," Energy Policy, Elsevier, vol. 159(C).
    4. Huo, Tengfei & Du, Qianxi & Xu, Linbo & Shi, Qingwei & Cong, Xiaobo & Cai, Weiguang, 2023. "Timetable and roadmap for achieving carbon peak and carbon neutrality of China's building sector," Energy, Elsevier, vol. 274(C).
    5. Liu, Junling & Yin, Mingjian & Xia-Hou, Qinrui & Wang, Ke & Zou, Ji, 2021. "Comparison of sectoral low-carbon transition pathways in China under the nationally determined contribution and 2 °C targets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    6. Yang, Jingjing & Deng, Zhang & Guo, Siyue & Chen, Yixing, 2023. "Development of bottom-up model to estimate dynamic carbon emission for city-scale buildings," Applied Energy, Elsevier, vol. 331(C).
    7. Xingfan Pu & Jian Yao & Rongyue Zheng, 2022. "Forecast of Energy Consumption and Carbon Emissions in China’s Building Sector to 2060," Energies, MDPI, vol. 15(14), pages 1-20, July.
    8. Zhang, Shufan & Zhou, Nan & Feng, Wei & Ma, Minda & Xiang, Xiwang & You, Kairui, 2023. "Pathway for decarbonizing residential building operations in the US and China beyond the mid-century," Applied Energy, Elsevier, vol. 342(C).
    9. Chen, Huadun & Du, Qianxi & Huo, Tengfei & Liu, Peiran & Cai, Weiguang & Liu, Bingsheng, 2023. "Spatiotemporal patterns and driving mechanism of carbon emissions in China's urban residential building sector," Energy, Elsevier, vol. 263(PE).
    10. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 813-833.
    11. Linwei Pan & Minglei Zhu & Ningning Lang & Tengfei Huo, 2020. "What Is the Amount of China’s Building Floor Space from 1996 to 2014?," IJERPH, MDPI, vol. 17(16), pages 1-17, August.
    12. Wei Zhou & Alice Moncaster & David M Reiner & Peter Guthrie, 2019. "Estimating Lifetimes and Stock Turnover Dynamics of Urban Residential Buildings in China," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    13. Li, Rui & Liu, Qiqi & Cai, Weiguang & Liu, Yuan & Yu, Yanhui & Zhang, Yihao, 2023. "Echelon peaking path of China's provincial building carbon emissions: Considering peak and time constraints," Energy, Elsevier, vol. 271(C).
    14. Peng, Wei & Yang, Junnan & Lu, Xi & Mauzerall, Denise L., 2018. "Potential co-benefits of electrification for air quality, health, and CO2 mitigation in 2030 China," Applied Energy, Elsevier, vol. 218(C), pages 511-519.
    15. 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.
    16. Zeng, Yuan & Tan, Xianchun & Gu, Baihe & Wang, Yi & Xu, Baoguang, 2016. "Greenhouse gas emissions of motor vehicles in Chinese cities and the implication for China’s mitigation targets," Applied Energy, Elsevier, vol. 184(C), pages 1016-1025.
    17. Zhang, Lei & Qin, Quande, 2018. "China’s new energy vehicle policies: Evolution, comparison and recommendation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 57-72.
    18. Hofmann, Jana & Guan, Dabo & Chalvatzis, Konstantinos & Huo, Hong, 2016. "Assessment of electrical vehicles as a successful driver for reducing CO2 emissions in China," Applied Energy, Elsevier, vol. 184(C), pages 995-1003.
    19. He, Wenhua & Liu, Pei & Lin, Borong & Zhou, Hao & Chen, Xuesheng, 2022. "Green finance support for development of green buildings in China: Effect, mechanism, and policy implications," Energy Policy, Elsevier, vol. 165(C).
    20. Sun, Zuo-Yu & Li, Guo-Xiu, 2015. "On reliability and flexibility of sustainable energy application route for vehicles in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 830-846.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544224000732. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.