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LCA and Scenario Analysis of Building Carbon Emission Reduction: The Influencing Factors of the Carbon Emission of a Photovoltaic Curtain Wall

Author

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  • Wenhan Fan

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
    Shanxi Vocational & Technical College of Finance & Trade, Taiyuan 030031, China
    These authors are joint first authors and have contributed equally to this work.)

  • Jiaqi Zhang

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
    These authors are joint first authors and have contributed equally to this work.)

  • Jianliang Zhou

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Chao Li

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Jinxin Hu

    (School of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Feixiang Hu

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Zhibo Nie

    (China Construction Second Engineering Bureau Ltd., Beijing 100160, China)

Abstract

The problem of global warming has become a major global concern, and reducing greenhouse gas emissions is crucial to mitigate its effects. Photovoltaic power generation is clean, low-carbon energy. Photovoltaic products can convert solar energy into electricity, reducing CO 2 emissions to an extent. This paper introduces the life cycle evaluation theory to assess the carbon emissions of photovoltaic curtain walls. PVsyst software allows for the simulation and calculation of power generation under different influencing factors, which provides valuable information about the carbon reduction potential of photovoltaic curtain walls. The evaluation of carbon emissions and their influencing factors using grey correlation analysis further enhances the understanding of the benefits and limitations of photovoltaic curtain walls. According to the results of grey correlation analysis, this paper concludes that the degree of various influencing factors on carbon emission of a photovoltaic curtain wall under different scenarios in descending order is as follows: orientation, location, inclination, shadow occlusion, and seasonal changes. The research findings of this paper provide a theoretical reference for the future development and application of photovoltaic curtain walls. By demonstrating the carbon reduction potential of this technology, this study contributes to promoting the adoption of photovoltaic curtain walls as a sustainable solution to mitigate the effects of global warming.

Suggested Citation

  • Wenhan Fan & Jiaqi Zhang & Jianliang Zhou & Chao Li & Jinxin Hu & Feixiang Hu & Zhibo Nie, 2023. "LCA and Scenario Analysis of Building Carbon Emission Reduction: The Influencing Factors of the Carbon Emission of a Photovoltaic Curtain Wall," Energies, MDPI, vol. 16(11), pages 1-21, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4501-:d:1162935
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    References listed on IDEAS

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    Cited by:

    1. Beata Piotrowska & Daniel Słyś, 2023. "Analysis of the Life Cycle Cost of a Heat Recovery System from Greywater Using a Vertical “Tube-in-Tube” Heat Exchanger: Case Study of Poland," Resources, MDPI, vol. 12(9), pages 1-17, August.
    2. Meijing Liu & Changqi Liu & Hao Xie & Zhonghui Zhao & Chong Zhu & Yangang Lu & Changsheng Bu, 2023. "Analysis of the Impact of Photovoltaic Curtain Walls Replacing Glass Curtain Walls on the Whole Life Cycle Carbon Emission of Public Buildings Based on BIM Modeling Study," Energies, MDPI, vol. 16(20), pages 1-21, October.
    3. Yuyi Hu & Bojun Wang & Yanping Yang & Liwei Yang, 2024. "A Novel Approach for Predicting CO 2 Emissions in the Building Industry Using a Hybrid Multi-Strategy Improved Particle Swarm Optimization–Long Short-Term Memory Model," Energies, MDPI, vol. 17(17), pages 1-17, September.
    4. Dawei Feng & Wenchao Xu & Xinyu Gao & Yun Yang & Shirui Feng & Xiaohu Yang & Hailong Li, 2023. "Carbon Emission Prediction and the Reduction Pathway in Industrial Parks: A Scenario Analysis Based on the Integration of the LEAP Model with LMDI Decomposition," Energies, MDPI, vol. 16(21), pages 1-15, October.

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