Paragraphs Environmental Design

Energy Use Intensity of Public Schools Across Climate Zones: Evidence from Public Benchmarking Data

Faculty of Architecture and Design, Universitas Kristen Duta Wacana, Yogyakarta

*Correspondence: paulus@staff.ukdw.ac.id

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Abstract

Climate-sensitive energy benchmarks can help school systems identify unusually intensive buildings, yet differences between climate groups are easily mistaken for differences in operational efficiency. This article presents an original secondary analysis of the United States Energy Information Administration's 2012 Commercial Buildings Energy Consumption Survey, using its August 2016 public-use release and literature published before May 1, 2023. The analytical population comprises government-owned buildings classified as elementary/middle schools or high schools. Among 473 sampled buildings, 464 support comparisons across three disclosed climate groups; nine marine-climate observations remain in the national estimate but are not reported separately. Survey-weighted major-fuel site energy use intensity is estimated as a ratio of energy to floorspace, with uncertainty calculated using 197 jackknife replicate weights. Estimated intensity is 67.2 kBtu/ft²/year in very cold/cold climates, 56.8 in mixed-humid climates, and 46.8 in the combined hot-dry/mixed-dry/hot-humid group. The cold-to-combined-group difference is 20.4 kBtu/ft²/year, with an approximate 95% confidence interval of 12.8–28.0. Standardizing school subtypes reduces but does not remove the gradient. Electricity intensity moves in the opposite direction to total major-fuel intensity, while within-group distributions overlap. These findings support climate-sensitive screening but do not establish causal climate effects or identify inefficient individual schools. The article develops a benchmarking approach that distinguishes portfolio intensity from the typical building, preserves fuel-specific information, and treats educational service and indoor environmental quality as conditions of meaningful energy improvement.

Keywords: school buildings; energy use intensity; climate regions; CBECS; benchmarking

Citation

Bawole P. (2024). Energy Use Intensity of Public Schools Across Climate Zones: Evidence from Public Benchmarking Data. Paragraphs Environmental Design, 2(2), 10–25. DOI: 10.5281/zenodo.24156937

References

  1. Borgstein, E. H., Lamberts, R., & Hensen, J. L. M. (2016). Evaluating energy performance in non-domestic buildings: A review. Energy and Buildings, 128, 734–755. https://doi.org/10.1016/j.enbuild.2016.07.018
  2. Chan, W. R., Li, X., Singer, B. C., Pistochini, T., Vernon, D., Outcault, S., Sanguinetti, A., & Modera, M. (2020). Ventilation rates in California classrooms: Why many recent HVAC retrofits are not delivering sufficient ventilation. Building and Environment, 167, Article 106426. https://doi.org/10.1016/j.buildenv.2019.106426
  3. Daly, D., Roth, J., Kokogiannakis, G., McDowell, C., Tibbs, M., & Cooper, P. (2022). Energy consumption in Australian primary schools: Influences and metrics. Energy and Buildings, 277, Article 112549. https://doi.org/10.1016/j.enbuild.2022.112549
  4. Dias Pereira, L., Raimondo, D., Corgnati, S. P., & Gameiro da Silva, M. (2014). Energy consumption in schools – A review paper. Renewable and Sustainable Energy Reviews, 40, 911–922. https://doi.org/10.1016/j.rser.2014.08.010
  5. Fisk, W. J. (2017). The ventilation problem in schools: Literature review. Indoor Air, 27(6), 1039–1051. https://doi.org/10.1111/ina.12403
  6. Haverinen-Shaughnessy, U., & Shaughnessy, R. J. (2015). Effects of classroom ventilation rate and temperature on students’ test scores. PLOS ONE, 10(8), Article e0136165. https://doi.org/10.1371/journal.pone.0136165
  7. Hong, S.-M., Paterson, G., Mumovic, D., & Steadman, P. (2014). Improved benchmarking comparability for energy consumption in schools. Building Research & Information, 42(1), 47–61. https://doi.org/10.1080/09613218.2013.814746
  8. Kontokosta, C. E., & Tull, C. (2017). A data-driven predictive model of city-scale energy use in buildings. Applied Energy, 197, 303–317. https://doi.org/10.1016/j.apenergy.2017.04.005
  9. Ouf, M., Issa, M., & Merkel, P. (2016). Analysis of real-time electricity consumption in Canadian school buildings. Energy and Buildings, 128, 530–539. https://doi.org/10.1016/j.enbuild.2016.07.022
  10. Palmer, K., & Walls, M. (2017). Using information to close the energy efficiency gap: A review of benchmarking and disclosure ordinances. Energy Efficiency, 10(3), 673–691. https://doi.org/10.1007/s12053-016-9480-5
  11. Papadopoulos, S., & Kontokosta, C. E. (2019). Grading buildings on energy performance using city benchmarking data. Applied Energy, 233–234, 244–253. https://doi.org/10.1016/j.apenergy.2018.10.053
  12. Sekki, T., Airaksinen, M., & Saari, A. (2015). Impact of building usage and occupancy on energy consumption in Finnish daycare and school buildings. Energy and Buildings, 105, 247–257. https://doi.org/10.1016/j.enbuild.2015.07.036
  13. U.S. Energy Information Administration. (2016a). 2012 Commercial Buildings Energy Consumption Survey public use microdata (August 2016 revision) [Data set]. https://www.eia.gov/consumption/commercial/data/2012/index.php?view=microdata
  14. U.S. Energy Information Administration. (2016b, August). User’s guide to the 2012 CBECS public use microdata file. https://www.eia.gov/consumption/commercial/data/2012/pdf/user_guide_public_use_aug2016.pdf
  15. U.S. Energy Information Administration. (2023, January). User’s guide to the 2018 CBECS public use microdata file. https://www.eia.gov/consumption/commercial/data/2018/pdf/Users%20Guide%20to%20the%202018%20CBECS%20Public%20Use%20Microdata%20File.pdf
  16. U.S. Environmental Protection Agency. (2018, August). ENERGY STAR score for K–12 schools in the United States [Technical reference]. https://www.energystar.gov/sites/default/files/tools/K_12_August_2018_EN_508.pdf
  17. U.S. Environmental Protection Agency. (2020, August). Climate and weather [Technical reference]. https://www.energystar.gov/sites/default/files/tools/Climate_and_Weather_2020_508.pdf
  18. U.S. Government Accountability Office. (2020, June). K–12 education: School districts frequently identified multiple building systems needing updates or replacement (GAO-20-494). https://www.gao.gov/products/gao-20-494