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Low-Carbon Optimization Design for Low-Temperature Granary Roof Insulation in Different Ecological Grain Storage Zones in China

Author

Listed:
  • Dinan Li

    (College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Yuge Huang

    (College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Chengzhou Guo

    (College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China
    Henan University of Technology Design and Research Co., Ltd., Zhengzhou 450001, China)

  • Haitao Wang

    (College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Jianwei Jia

    (China Construction Seventh Engineering Division Corp. Ltd., Zhengzhou 450003, China)

  • Lu Huang

    (China Construction Seventh Engineering Division Corp. Ltd., Zhengzhou 450003, China)

Abstract

The optimization design of buildings is very important to the energy consumption, carbon emissions, and sustainable development of buildings. The low-temperature granary has a low grain storage temperature and high energy consumption indexes. The design scheme of the roof insulation for a low-temperature granary should be determined in actual building design processes by considering the costs, carbon emissions, and outdoor climate, comprehensively. In this paper, a new low-carbon optimization design method is proposed for the roof insulation in the low-temperature granary. The low-carbon optimization design method can respond to the cost issue, emission reduction issue, and outdoor climate issue, simultaneously. Moreover, the low-temperature granary roof insulation of different ecological grain storage zones in China is optimized in terms of carbon reduction by using the proposed low-carbon optimization design method. The application results of the optimization design method in different ecological grain storage zones in China indicate that the outdoor climate has significant impacts on the economic performance and carbon reduction effect of roof insulation. The cost considerations related to carbon emissions can apparently increase the economic efficiency of roof insulation. The optimal economic thicknesses of expanded polystyrene (EPS) in the cities of Urumqi, Harbin, Zhengzhou, Changsha, Guiyang, and Haikou are 0.025 m, 0.037 m, 0.085 m, 0.097 m, 0.072 m, and 0.148 m, respectively. The different outdoor climates of the seven ecological grain storage areas in China have important influences on the comprehensive economic performances of low-temperature granary roof insulation. The design of the low-temperature granary roof insulation in Haikou city has the best economic performance among the seven ecological grain storage zones in China.

Suggested Citation

  • Dinan Li & Yuge Huang & Chengzhou Guo & Haitao Wang & Jianwei Jia & Lu Huang, 2023. "Low-Carbon Optimization Design for Low-Temperature Granary Roof Insulation in Different Ecological Grain Storage Zones in China," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13626-:d:1238233
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    References listed on IDEAS

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    1. Xin Yang & Yifei Sima & Yabo Lv & Mingwei Li, 2023. "Research on Influencing Factors of Residential Building Carbon Emissions and Carbon Peak: A Case of Henan Province in China," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    2. Du, Xiaoyun & Meng, Conghui & Guo, Zhenhua & Yan, Hang, 2023. "An improved approach for measuring the efficiency of low carbon city practice in China," Energy, Elsevier, vol. 268(C).
    3. Isabel Andrade & Johann Land & Patricio Gallardo & Susan Krumdieck, 2022. "Application of the InTIME Methodology for the Transition of Office Buildings to Low Carbon—A Case Study," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    4. Yu, Jinghua & Qian, Congcong & Yang, Qingchen & Xu, Tao & Zhao, Jingang & Xu, Xinhua, 2023. "The energy saving potential of a new ventilation roof with stabilized phase change material in hot summer region," Renewable Energy, Elsevier, vol. 212(C), pages 111-127.
    5. Liu, Jing-Yue & Zhang, Yue-Jun, 2021. "Has carbon emissions trading system promoted non-fossil energy development in China?," Applied Energy, Elsevier, vol. 302(C).
    6. Jia Wei & Wei Shi & Jingrou Ran & Jing Pu & Jiyang Li & Kai Wang, 2023. "Exploring the Driving Factors and Their Spatial Effects on Carbon Emissions in the Building Sector," Energies, MDPI, vol. 16(7), pages 1-21, March.
    7. Jia, Zhijie & Lin, Boqiang, 2020. "Rethinking the choice of carbon tax and carbon trading in China," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    8. Govinda R. Timilsina, 2009. "Carbon tax under the Clean Development Mechanism: a unique approach for reducing greenhouse gas emissions in developing countries," Climate Policy, Taylor & Francis Journals, vol. 9(2), pages 139-154, January.
    9. Yu, Jinghua & Yang, Changzhi & Tian, Liwei & Liao, Dan, 2009. "A study on optimum insulation thicknesses of external walls in hot summer and cold winter zone of China," Applied Energy, Elsevier, vol. 86(11), pages 2520-2529, November.
    10. Ye Li & Shixuan Li & Shiyao Xia & Bojia Li & Xinyu Zhang & Boyuan Wang & Tianzhen Ye & Wandong Zheng, 2023. "A Review on the Policy, Technology and Evaluation Method of Low-Carbon Buildings and Communities," Energies, MDPI, vol. 16(4), pages 1-43, February.
    11. Garbaccio, Richard F. & Ho, Mun S. & Jorgenson, Dale W., 1999. "Controlling carbon emissions in China," Environment and Development Economics, Cambridge University Press, vol. 4(4), pages 493-518, October.
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