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Development and Application of Schema Based Occupant-Centric Building Performance Metrics

Author

Listed:
  • Cory Mosiman

    (Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
    WSP USA, New York, NY 10119, USA)

  • Gregor Henze

    (Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
    National Renewable Energy Laboratory, Golden, CO 80401, USA
    Renewable and Sustainable Energy Institute, Boulder, CO 80309, USA)

  • Herbert Els

    (WSP USA, New York, NY 10119, USA)

Abstract

Occupant behavior can significantly influence the operation and performance of buildings. Many occupant-centric key performance indicators (KPIs) rely on having accurate counts of the number of occupants in a building, which is very different to how occupancy information is currently collected in the majority of buildings today. To address this gap, the authors develop a standardized methodology for the calculation of percent space utilization for buildings, which is formulated with respect to two prevalent operational data schemas: the Brick Schema and Project Haystack. The methodology is scalable across different levels of spatial granularity and irrespective of sensor placement. Moreover, the methods are intended to make use of typical occupancy sensors that capture presence level occupancy and not counts of people. Since occupant-hours is a preferable metric to use in KPI calculations, a method to convert between percent space utilization and occupant-hours using the design occupancy for a space is also developed. The methodology is demonstrated on a small commercial office space in Boulder, Colorado using data collected between June 2018 and February 2019. A multiple linear regression is performed that shows strong evidence for a relationship between building energy consumption and percent space utilization.

Suggested Citation

  • Cory Mosiman & Gregor Henze & Herbert Els, 2021. "Development and Application of Schema Based Occupant-Centric Building Performance Metrics," Energies, MDPI, vol. 14(12), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3513-:d:574256
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    References listed on IDEAS

    as
    1. Aapo Huovila & Pekka Tuominen & Miimu Airaksinen, 2017. "Effects of Building Occupancy on Indicators of Energy Efficiency," Energies, MDPI, vol. 10(5), pages 1-19, May.
    2. Granderson, Jessica & Touzani, Samir & Custodio, Claudine & Sohn, Michael D. & Jump, David & Fernandes, Samuel, 2016. "Accuracy of automated measurement and verification (M&V) techniques for energy savings in commercial buildings," Applied Energy, Elsevier, vol. 173(C), pages 296-308.
    3. Marco Pritoni & Drew Paine & Gabriel Fierro & Cory Mosiman & Michael Poplawski & Avijit Saha & Joel Bender & Jessica Granderson, 2021. "Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis," Energies, MDPI, vol. 14(7), pages 1-37, April.
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