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SE 2050 Commitment Program: 2023 Data Analysis and Findings Report

Abstract

  • Sponsored by the SE 2050 Committee of the SEI Technical Committee of the Structural Engineering Institute of ASCE

    SE 2050 Commitment Program: 2023 Data Analysis and Findings Report investigates the relationship between design inputs of structural systems and global warming potential. Data on embodied carbon in building structures from the SE 2050 Database are analyzed to better understand embodied carbon performance in structures. The report also encourages the establishment of embodied carbon policies and sustainability in the structural design of buildings.

    Topics include

    •

    Embodied carbon emissions and performance,

    •

    Global Warming Potential (GWP),

    •

    Relationship of GWP to Gross Floor Area,

    •

    Practical design recommendations, and

    •

    Future data collection.

    This book will inform structural engineers, policymakers, and buildings practitioners to incorporate widespread embodied carbon reduction into the structural system of buildings.
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Front matter for SE 2050 Commitment Program
i–xx
    Chapter 1:
    Introduction
    1–4
      Chapter 2:
      Goals
      5–6
        Chapter 3:
        Definitions
        7–10
          Chapter 4:
          Methodology
          11–20
            Chapter 5:
            Results
            21–42
              Chapter 6:
              Limitations
              43–44
                Chapter 7:
                Discussion and Recommendations
                45–48
                  Chapter 8:
                  Conclusion
                  49–50
                    Appendix A:
                    About the Data Features in the Database
                    51–54
                      Appendix B:
                      Side-by-Side Exploratory Data Analysis: Upfront Carbon and A to C Data Sets
                      55–94
                        Appendix C:
                        Relationships across Variables
                        95–100
                          Appendix D:
                          Feature Importance from Machine Learning Training
                          101–106
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                            Back Matter for SE 2050 Commitment Program
                            107–110