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Introduction to Building Energy Modeling

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Building Energy Modeling with OpenStudio

Abstract

There is good reason that so much attention is paid to the concept of mathematical model in engineering and physics curriculum. Simple regressions derived from empirical data, differential equations based on first-principles, or detailed computational fluid dynamic simulations each provide an analytical framework that yields insight into the behavior of physical systems. In turn, those insights can lead to design decisions that have real impact on safety, cost, and performance of the cars we drive, the power grids that deliver our electricity, and the energy efficiency of the buildings we live and work in.

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Notes

  1. 1.

    American Society of Heating, Refrigeration, and Air-Conditioning Engineers (ASHRAE) Standards and Guidelines Overview (https://www.ashrae.org/standards-research--technology/standards--guidelines).

  2. 2.

    California Energy Commission (CEC) Title 24 Energy Efficiency Standards (http://www.energy.ca.gov/title24/).

  3. 3.

    Leadership in Energy and Environmental Design (LEED™) Certification Overview (https://www.usgbc.org/leed).

  4. 4.

    American Institute of Architects (AIA) 2030 Commitment Overview (https://www.aia.org/resources/6616-the-2030-commitment).

  5. 5.

    Lau and Ayres (1979).

  6. 6.

    Kusuda (1976).

  7. 7.

    Hittle (1977).

  8. 8.

    https://buildings.lbl.gov/sites/default/files/lbnl-18046.pdf.

  9. 9.

    Crawley et al. (1998).

  10. 10.

    http://energyplus.net.

  11. 11.

    The SketchUp Plug-In is now called “Euclid” and is available here: http://bigladdersoftware.com/projects/euclid.

  12. 12.

    https://www.openstudio.net.

  13. 13.

    Previously, large-scale BEM analysis was the purview of laboratory or university researchers with access to high performance computers. No small engineering firms can run hundreds of simulations in the space of a few minutes for under $10.

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Brackney, L., Parker, A., Macumber, D., Benne, K. (2018). Introduction to Building Energy Modeling. In: Building Energy Modeling with OpenStudio. Springer, Cham. https://doi.org/10.1007/978-3-319-77809-9_1

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  • DOI: https://doi.org/10.1007/978-3-319-77809-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77808-2

  • Online ISBN: 978-3-319-77809-9

  • eBook Packages: EnergyEnergy (R0)

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