IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i7p1810-d523440.html
   My bibliography  Save this article

Carbon Emission Estimation of Assembled Composite Concrete Beams during Construction

Author

Listed:
  • Kaitong Xu

    (School of Civil Engineering, Shaoxing University, Shaoxing 312000, China)

  • Haibo Kang

    (School of Civil Engineering, Shaoxing University, Shaoxing 312000, China)

  • Wei Wang

    (School of Civil Engineering, Shaoxing University, Shaoxing 312000, China)

  • Ping Jiang

    (School of Civil Engineering, Shaoxing University, Shaoxing 312000, China)

  • Na Li

    (School of Civil Engineering, Shaoxing University, Shaoxing 312000, China)

Abstract

At present, the issue of carbon emissions from buildings has become a hot topic, and carbon emission reduction is also becoming a political and economic contest for countries. As a result, the government and researchers have gradually begun to attach great importance to the industrialization of low-carbon and energy-saving buildings. The rise of prefabricated buildings has promoted a major transformation of the construction methods in the construction industry, which is conducive to reducing the consumption of resources and energy, and of great significance in promoting the low-carbon emission reduction of industrial buildings. This article mainly studies the calculation model for carbon emissions of the three-stage life cycle of component production, logistics transportation, and on-site installation in the whole construction process of composite beams for prefabricated buildings. The construction of CG-2 composite beams in Fujian province, China, was taken as the example. Based on the life cycle assessment method, carbon emissions from the actual construction process of composite beams were evaluated, and that generated by the composite beam components during the transportation stage by using diesel, gasoline, and electric energy consumption methods were compared in detail. The results show that (1) the carbon emissions generated by composite beams during the production stage were relatively high, accounting for 80.8% of the total carbon emissions, while during the transport stage and installation stage, they only accounted for 7.6% and 11.6%, respectively; and (2) during the transportation stage with three different energy-consuming trucks, the carbon emissions from diesel fuel trucks were higher, reaching 186.05 kg, followed by gasoline trucks, which generated about 115.68 kg; electric trucks produced the lowest, only 12.24 kg.

Suggested Citation

  • Kaitong Xu & Haibo Kang & Wei Wang & Ping Jiang & Na Li, 2021. "Carbon Emission Estimation of Assembled Composite Concrete Beams during Construction," Energies, MDPI, vol. 14(7), pages 1-14, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:7:p:1810-:d:523440
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/7/1810/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/7/1810/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. J.F. Luna-Tintos & Carlos Cobreros & Álvaro López-Escamilla & Rafael Herrera-Limones & Miguel Torres-García, 2020. "Methodology to Evaluate the Embodied Primary Energy and CO 2 Production at Each Stage of the Life Cycle of Prefabricated Structural Systems: The Case of the Solar Decathlon Competition," Energies, MDPI, vol. 13(17), pages 1-15, August.
    2. Khuram Pervez Amber & Muhammad Waqar Aslam & Anzar Mahmood & Anila Kousar & Muhammad Yamin Younis & Bilal Akbar & Ghulam Qadar Chaudhary & Syed Kashif Hussain, 2017. "Energy Consumption Forecasting for University Sector Buildings," Energies, MDPI, vol. 10(10), pages 1-18, October.
    3. Chen, Han & Chen, Wenying, 2019. "Potential impact of shifting coal to gas and electricity for building sectors in 28 major northern cities of China," Applied Energy, Elsevier, vol. 236(C), pages 1049-1061.
    4. Wang, Shaojian & Fang, Chuanglin & Guan, Xingliang & Pang, Bo & Ma, Haitao, 2014. "Urbanisation, energy consumption, and carbon dioxide emissions in China: A panel data analysis of China’s provinces," Applied Energy, Elsevier, vol. 136(C), pages 738-749.
    5. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    6. J.F. Luna-Tintos & Carlos Cobreros & Rafael Herrera-Limones & Álvaro López-Escamilla, 2020. "“Methodology Comparative Analysis” in the Solar Decathlon Competition: A Proposed Housing Model based on a Prefabricated Structural System," Sustainability, MDPI, vol. 12(5), pages 1-17, March.
    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. Shuyang Chen, 2021. "The Urbanisation Impacts on the Policy Effects of the Carbon Tax in China," Sustainability, MDPI, vol. 13(12), pages 1-11, June.
    2. Li, Ke & Yuan, Weihong & Li, Jianglong & Ai, Hongshan, 2021. "Effects of time-dependent environmental regulations on air pollution: Evidence from the Changsha-Zhuzhou-Xiangtan region, China," World Development, Elsevier, vol. 138(C).
    3. Carolina Rodriguez & María Coronado & Marta D’Alessandro & Juan Medina, 2019. "The Importance of Standardised Data-Collection Methods in the Improvement of Thermal Comfort Assessment Models for Developing Countries in the Tropics," Sustainability, MDPI, vol. 11(15), pages 1-22, August.
    4. Ling Xiong & Shaozhou Qi, 2018. "Financial Development And Carbon Emissions In Chinese Provinces: A Spatial Panel Data Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 447-464, March.
    5. Yang, Haiyue & Wang, Yazhou & Yu, Qianqian & Cao, Guoliang & Yang, Rue & Ke, Jiaona & Di, Xin & Liu, Feng & Zhang, Wenbo & Wang, Chengyu, 2018. "Composite phase change materials with good reversible thermochromic ability in delignified wood substrate for thermal energy storage," Applied Energy, Elsevier, vol. 212(C), pages 455-464.
    6. Ebrahim Morady & Madjid Soltani & Farshad Moradi Kashkooli & Masoud Ziabasharhagh & Armughan Al-Haq & Jatin Nathwani, 2022. "Improving Energy Efficiency by Utilizing Wetted Cellulose Pads in Passive Cooling Systems," Energies, MDPI, vol. 15(1), pages 1-17, January.
    7. Zhenkai Yang & Mei-Chih Wang & Tsangyao Chang & Wing-Keung Wong & Fangjhy Li, 2022. "Which Factors Determine CO 2 Emissions in China? Trade Openness, Financial Development, Coal Consumption, Economic Growth or Urbanization: Quantile Granger Causality Test," Energies, MDPI, vol. 15(7), pages 1-18, March.
    8. Hinker, Jonas & Hemkendreis, Christian & Drewing, Emily & März, Steven & Hidalgo Rodríguez, Diego I. & Myrzik, Johanna M.A., 2017. "A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain," Energy, Elsevier, vol. 137(C), pages 1219-1230.
    9. Yan, Huaxia & Pan, Yan & Li, Zhao & Deng, Shiming, 2018. "Further development of a thermal comfort based fuzzy logic controller for a direct expansion air conditioning system," Applied Energy, Elsevier, vol. 219(C), pages 312-324.
    10. Reema Gh. Alajmi, 2024. "Energy Consumption and Carbon Emissions: An Empirical Study of Saudi Arabia," Sustainability, MDPI, vol. 16(13), pages 1-16, June.
    11. Cui, Can & Zhang, Xin & Cai, Wenjian, 2020. "An energy-saving oriented air balancing method for demand controlled ventilation systems with branch and black-box model," Applied Energy, Elsevier, vol. 264(C).
    12. Mukhtar, A. & Ng, K.C. & Yusoff, M.Z., 2018. "Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort," Renewable Energy, Elsevier, vol. 115(C), pages 183-198.
    13. Girish Rentala & Yimin Zhu & Neil M. Johannsen, 2021. "Impact of Outdoor Temperature Variations on Thermal State in Experiments Using Immersive Virtual Environment," Sustainability, MDPI, vol. 13(19), pages 1-36, September.
    14. Peep Pihelo & Kalle Kuusk & Targo Kalamees, 2020. "Development and Performance Assessment of Prefabricated Insulation Elements for Deep Energy Renovation of Apartment Buildings," Energies, MDPI, vol. 13(7), pages 1-20, April.
    15. Li, Meng & Jin, Tianyu & Liu, Shenglong & Zhou, Shaojie, 2021. "The cost of clean energy transition in rural China: Evidence based on marginal treatment effects," Energy Economics, Elsevier, vol. 97(C).
    16. Picallo-Perez, Ana & Catrini, Pietro & Piacentino, Antonio & Sala, José-Mª, 2019. "A novel thermoeconomic analysis under dynamic operating conditions for space heating and cooling systems," Energy, Elsevier, vol. 180(C), pages 819-837.
    17. Baglivo, Cristina & Congedo, Paolo Maria & D'Agostino, Delia & Zacà, Ilaria, 2015. "Cost-optimal analysis and technical comparison between standard and high efficient mono-residential buildings in a warm climate," Energy, Elsevier, vol. 83(C), pages 560-575.
    18. Małgorzata Fedorczak-Cisak & Katarzyna Nowak & Marcin Furtak, 2019. "Analysis of the Effect of Using External Venetian Blinds on the Thermal Comfort of Users of Highly Glazed Office Rooms in a Transition Season of Temperate Climate—Case Study," Energies, MDPI, vol. 13(1), pages 1-18, December.
    19. Pikas, Ergo & Thalfeldt, Martin & Kurnitski, Jarek & Liias, Roode, 2015. "Extra cost analyses of two apartment buildings for achieving nearly zero and low energy buildings," Energy, Elsevier, vol. 84(C), pages 623-633.
    20. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).

    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:14:y:2021:i:7:p:1810-:d:523440. 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.