IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i24p9269-d995930.html
   My bibliography  Save this article

Research on Carbon Emission Characteristics of Rural Buildings Based on LMDI-LEAP Model

Author

Listed:
  • Haichao Feng

    (School of Architecture, Tianjin University, Tianjin 300072, China
    Tianjin Binhai Hi-Tech Industrial Development Area Asset Management Office (Capital Construction Management Office), Tianjin 300301, China)

  • Ruonan Wang

    (China Academy of Building Research, Beijing 100013, China)

  • He Zhang

    (School of Architecture, Tianjin University, Tianjin 300072, China)

Abstract

Based on the emission factor method and LMDI-LEAP model, this paper systematically studies the current situation, influencing factors and changing trend of carbon emissions from rural buildings in a typical village located in southern China. The results showed that (1) the per capita carbon emissions generated by the energy consumption of rural buildings is 2.58 tCO 2 /a. Carbon emissions from electricity consumption in buildings account for about 96.07%; (2) the per capita building area, building area energy intensity, population size, population structure and carbon emission coefficient affect rural building carbon emissions, with contribution rates of 70.13%, 31.27%, 0.61%, −1.21% and −0.80%, respectively; (3) from 2021 to 2060, the carbon emissions of rural buildings are expected to increase first and then decrease. In 2021, the base year, carbon emissions from buildings were 2755.49 tCO 2 . The carbon emissions will peak at 5275.5 tCO 2 . Measures such as controlling the scale of buildings and improving the utilization rate of clean energy can effectively reduce carbon emissions, in which case the peak can be reduced to 4830.06 tCO 2 . Finally, the countermeasures and suggestions about rural building energy saving and emission reduction are proposed, including improving the construction management, raising energy efficiency standards in buildings, increasing the proportion of clean energy and raising residents’ awareness of energy conservation.

Suggested Citation

  • Haichao Feng & Ruonan Wang & He Zhang, 2022. "Research on Carbon Emission Characteristics of Rural Buildings Based on LMDI-LEAP Model," Energies, MDPI, vol. 15(24), pages 1-16, December.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:24:p:9269-:d:995930
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/24/9269/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/24/9269/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Greening, Lorna A. & Ting, Michael & Krackler, Thomas J., 2001. "Effects of changes in residential end-uses and behavior on aggregate carbon intensity: comparison of 10 OECD countries for the period 1970 through 1993," Energy Economics, Elsevier, vol. 23(2), pages 153-178, March.
    2. Choi, Ki-Hong & Ang, B.W., 2012. "Attribution of changes in Divisia real energy intensity index — An extension to index decomposition analysis," Energy Economics, Elsevier, vol. 34(1), pages 171-176.
    3. 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.
    4. Li, Jianglong & Chen, Chang & Liu, Hongxun, 2019. "Transition from non-commercial to commercial energy in rural China: Insights from the accessibility and affordability," Energy Policy, Elsevier, vol. 127(C), pages 392-403.
    5. Ma, Minda & Ma, Xin & Cai, Wei & Cai, Weiguang, 2020. "Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak," Applied Energy, Elsevier, vol. 273(C).
    6. Qingwei Shi & Jingxin Gao & Xia Wang & Hong Ren & Weiguang Cai & Haifeng Wei, 2020. "Temporal and Spatial Variability of Carbon Emission Intensity of Urban Residential Buildings: Testing the Effect of Economics and Geographic Location in China," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    7. Wang, Yafei & Zhao, Hongyan & Li, Liying & Liu, Zhu & Liang, Sai, 2013. "Carbon dioxide emission drivers for a typical metropolis using input–output structural decomposition analysis," Energy Policy, Elsevier, vol. 58(C), pages 312-318.
    8. Nieves, J.A. & Aristizábal, A.J. & Dyner, I. & Báez, O. & Ospina, D.H., 2019. "Energy demand and greenhouse gas emissions analysis in Colombia: A LEAP model application," Energy, Elsevier, vol. 169(C), pages 380-397.
    9. Greening, Lorna A., 2004. "Effects of human behavior on aggregate carbon intensity of personal transportation: comparison of 10 OECD countries for the period 1970-1993," Energy Economics, Elsevier, vol. 26(1), pages 1-30, January.
    10. Xu, X.Y. & Ang, B.W., 2014. "Analysing residential energy consumption using index decomposition analysis," Applied Energy, Elsevier, vol. 113(C), pages 342-351.
    11. Zhang, Yang & Yan, Da & Hu, Shan & Guo, Siyue, 2019. "Modelling of energy consumption and carbon emission from the building construction sector in China, a process-based LCA approach," Energy Policy, Elsevier, vol. 134(C).
    12. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Multilevel LMDI decomposition of changes in aggregate energy consumption. A cross country analysis in the EU-27," Energy Policy, Elsevier, vol. 68(C), pages 576-584.
    13. Yao, Chunsheng & Chen, Chongying & Li, Ming, 2012. "Analysis of rural residential energy consumption and corresponding carbon emissions in China," Energy Policy, Elsevier, vol. 41(C), pages 445-450.
    14. Lang, Ghislaine & Lanz, Bruno, 2022. "Climate policy without a price signal: Evidence on the implicit carbon price of energy efficiency in buildings," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
    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. Liu, Wenling & Spaargaren, Gert & Heerink, Nico & Mol, Arthur P.J. & Wang, Can, 2013. "Energy consumption practices of rural households in north China: Basic characteristics and potential for low carbon development," Energy Policy, Elsevier, vol. 55(C), pages 128-138.
    17. Xin Xu & Yuan Zhao & Xinlin Zhang & Siyou Xia, 2018. "Identifying the Impacts of Social, Economic, and Environmental Factors on Population Aging in the Yangtze River Delta Using the Geographical Detector Technique," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    18. 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.
    19. Ertz, Myriam & Karakas, Fahri & Sarigöllü, Emine, 2016. "Exploring pro-environmental behaviors of consumers: An analysis of contextual factors, attitude, and behaviors," Journal of Business Research, Elsevier, vol. 69(10), pages 3971-3980.
    20. Libiao Bai & Hailing Wang & Chunming Shi & Qiang Du & Yi Li, 2017. "Assessment of SIP Buildings for Sustainable Development in Rural China Using AHP-Grey Correlation Analysis," IJERPH, MDPI, vol. 14(11), pages 1-12, October.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    3. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    4. Li, Kai & Ma, Minda & Xiang, Xiwang & Feng, Wei & Ma, Zhili & Cai, Weiguang & Ma, Xin, 2022. "Carbon reduction in commercial building operations: A provincial retrospection in China," Applied Energy, Elsevier, vol. 306(PB).
    5. Duan, Haiyan & Chen, Siyan & Song, Junnian, 2022. "Characterizing regional building energy consumption under joint climatic and socioeconomic impacts," Energy, Elsevier, vol. 245(C).
    6. Qingwei Shi & Hong Ren & Weiguang Cai & Jingxin Gao, 2020. "How to Set the Proper CO 2 Reduction Targets for the Provincial Building Sector of China?," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    7. Xu, Feng & Li, Xiaodong & Yang, Zhihan & Zhu, Chen, 2024. "Spatiotemporal characteristics and driving factor analysis of embodied CO2 emissions in China's building sector," Energy Policy, Elsevier, vol. 188(C).
    8. 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).
    9. 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).
    10. Zhang, Shicong & Wang, Ke & Xu, Wei & Iyer-Raniga, Usha & Athienitis, Andreas & Ge, Hua & Cho, Dong woo & Feng, Wei & Okumiya, Masaya & Yoon, Gyuyoung & Mazria, Edward & Lyu, Yanjie, 2021. "Policy recommendations for the zero energy building promotion towards carbon neutral in Asia-Pacific Region," Energy Policy, Elsevier, vol. 159(C).
    11. 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).
    12. Guo, Siyue & Yan, Da & Hu, Shan & Zhang, Yang, 2021. "Modelling building energy consumption in China under different future scenarios," Energy, Elsevier, vol. 214(C).
    13. Zhu, Chen & Li, Xiaodong & Zhu, Weina & Gong, Wei, 2022. "Embodied carbon emissions and mitigation potential in China's building sector: An outlook to 2060," Energy Policy, Elsevier, vol. 170(C).
    14. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    15. 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).
    16. Guozhong Zheng & Wentao Bu, 2018. "Review of Heating Methods for Rural Houses in China," Energies, MDPI, vol. 11(12), pages 1-18, December.
    17. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    18. Román-Collado, Rocío & Colinet, María José, 2018. "Are labour productivity and residential living standards drivers of the energy consumption changes?," Energy Economics, Elsevier, vol. 74(C), pages 746-756.
    19. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    20. Lin, Boqiang & Tan, Ruipeng, 2017. "Sustainable development of China's energy intensive industries: From the aspect of carbon dioxide emissions reduction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 386-394.

    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:gam:jeners:v:15:y:2022:i:24:p:9269-:d:995930. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.